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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Author" ( Id INTEGER constraint Author_pk primary key, Name TEXT, Affiliation TEXT ) /* 1 example row: SELECT * FROM author LIMIT 1; Id || Name ||Affiliation 9 ||Ernest Jordan || None */ /* column definitions { "Id": "Id of the author", "Name": "Author Name", "Affiliation": "Organization name with which the author is affiliated. " }*/ CREATE TABLE "Conference" ( Id INTEGER constraint Conference_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM conference LIMIT 1; Id ||ShortName || FullName ||HomePage 1 || IADIS ||International Association for Development of the Information Society || */ /* column definitions { "Id": "Conference Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of conference" }*/ CREATE TABLE "Journal" ( Id INTEGER constraint Journal_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM journal LIMIT 1; Id ||ShortName || FullName || HomePage 1 || ICOM ||Zeitschrift Für Interaktive Und Kooperative Medien ||http://www.i-com-media.de */ /* column definitions { "Id": "Journal Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of journal" }*/ CREATE TABLE Paper ( Id INTEGER primary key, Title TEXT, Year INTEGER, ConferenceId INTEGER, JournalId INTEGER, Keyword TEXT, foreign key (ConferenceId) references Conference(Id), foreign key (JournalId) references Journal(Id) ) /* 1 example row: SELECT * FROM paper LIMIT 1; Id || Title ||Year ||ConferenceId ||JournalId || Keyword 1 ||Stitching videos streamed by mobile phones in real-time ||2009 || 167 || 0 ||mobile video capturing|real-time|video stitching */ /* column definitions { "Id": " Id of the paper", "Title": "Title of the paper", "Year": "Year of the paper", "ConferenceId": "Conference Id in which paper was published", "JournalId": "Journal Id in which paper was published", "Keyword": "Keywords of the paper " }*/ CREATE TABLE PaperAuthor ( PaperId INTEGER, AuthorId INTEGER, Name TEXT, Affiliation TEXT, foreign key (PaperId) references Paper(Id), foreign key (AuthorId) references Author(Id) ) /* 1 example row: SELECT * FROM paperauthor LIMIT 1; PaperId ||AuthorId || Name ||Affiliation 4 || 1456512 ||ADAM G. JONES || None */ /* column definitions { "PaperId": " Paper Id", "AuthorId": "Author Id", "Name": "Author Name (as written on paper)", "Affiliation": "Author Affiliation (as written on paper)" }*/ ### Question For the paper which was presented by "Zvezdan Protić", was it preprinted? Clarification: Year = 0 means this paper is preprint, or not published
[query_database(**{'query': 'SELECT CASE WHEN T1.Year = 0 THEN 'TRUE' ELSE 'FALSE' END FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T2.Name = 'Zvezdan Protić' AND T1.ConferenceId = 0 AND T1.JournalId = 0'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Author" ( Id INTEGER constraint Author_pk primary key, Name TEXT, Affiliation TEXT ) /* 1 example row: SELECT * FROM author LIMIT 1; Id || Name ||Affiliation 9 ||Ernest Jordan || None */ /* column definitions { "Id": "Id of the author", "Name": "Author Name", "Affiliation": "Organization name with which the author is affiliated. " }*/ CREATE TABLE "Conference" ( Id INTEGER constraint Conference_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM conference LIMIT 1; Id ||ShortName || FullName ||HomePage 1 || IADIS ||International Association for Development of the Information Society || */ /* column definitions { "Id": "Conference Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of conference" }*/ CREATE TABLE "Journal" ( Id INTEGER constraint Journal_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM journal LIMIT 1; Id ||ShortName || FullName || HomePage 1 || ICOM ||Zeitschrift Für Interaktive Und Kooperative Medien ||http://www.i-com-media.de */ /* column definitions { "Id": "Journal Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of journal" }*/ CREATE TABLE Paper ( Id INTEGER primary key, Title TEXT, Year INTEGER, ConferenceId INTEGER, JournalId INTEGER, Keyword TEXT, foreign key (ConferenceId) references Conference(Id), foreign key (JournalId) references Journal(Id) ) /* 1 example row: SELECT * FROM paper LIMIT 1; Id || Title ||Year ||ConferenceId ||JournalId || Keyword 1 ||Stitching videos streamed by mobile phones in real-time ||2009 || 167 || 0 ||mobile video capturing|real-time|video stitching */ /* column definitions { "Id": " Id of the paper", "Title": "Title of the paper", "Year": "Year of the paper", "ConferenceId": "Conference Id in which paper was published", "JournalId": "Journal Id in which paper was published", "Keyword": "Keywords of the paper " }*/ CREATE TABLE PaperAuthor ( PaperId INTEGER, AuthorId INTEGER, Name TEXT, Affiliation TEXT, foreign key (PaperId) references Paper(Id), foreign key (AuthorId) references Author(Id) ) /* 1 example row: SELECT * FROM paperauthor LIMIT 1; PaperId ||AuthorId || Name ||Affiliation 4 || 1456512 ||ADAM G. JONES || None */ /* column definitions { "PaperId": " Paper Id", "AuthorId": "Author Id", "Name": "Author Name (as written on paper)", "Affiliation": "Author Affiliation (as written on paper)" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Author" ( Id INTEGER constraint Author_pk primary key, Name TEXT, Affiliation TEXT ) /* 1 example row: SELECT * FROM author LIMIT 1; Id || Name ||Affiliation 9 ||Ernest Jordan || None */ /* column definitions { "Id": "Id of the author", "Name": "Author Name", "Affiliation": "Organization name with which the author is affiliated. " }*/ CREATE TABLE "Conference" ( Id INTEGER constraint Conference_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM conference LIMIT 1; Id ||ShortName || FullName ||HomePage 1 || IADIS ||International Association for Development of the Information Society || */ /* column definitions { "Id": "Conference Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of conference" }*/ CREATE TABLE "Journal" ( Id INTEGER constraint Journal_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM journal LIMIT 1; Id ||ShortName || FullName || HomePage 1 || ICOM ||Zeitschrift Für Interaktive Und Kooperative Medien ||http://www.i-com-media.de */ /* column definitions { "Id": "Journal Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of journal" }*/ CREATE TABLE Paper ( Id INTEGER primary key, Title TEXT, Year INTEGER, ConferenceId INTEGER, JournalId INTEGER, Keyword TEXT, foreign key (ConferenceId) references Conference(Id), foreign key (JournalId) references Journal(Id) ) /* 1 example row: SELECT * FROM paper LIMIT 1; Id || Title ||Year ||ConferenceId ||JournalId || Keyword 1 ||Stitching videos streamed by mobile phones in real-time ||2009 || 167 || 0 ||mobile video capturing|real-time|video stitching */ /* column definitions { "Id": " Id of the paper", "Title": "Title of the paper", "Year": "Year of the paper", "ConferenceId": "Conference Id in which paper was published", "JournalId": "Journal Id in which paper was published", "Keyword": "Keywords of the paper " }*/ CREATE TABLE PaperAuthor ( PaperId INTEGER, AuthorId INTEGER, Name TEXT, Affiliation TEXT, foreign key (PaperId) references Paper(Id), foreign key (AuthorId) references Author(Id) ) /* 1 example row: SELECT * FROM paperauthor LIMIT 1; PaperId ||AuthorId || Name ||Affiliation 4 || 1456512 ||ADAM G. JONES || None */ /* column definitions { "PaperId": " Paper Id", "AuthorId": "Author Id", "Name": "Author Name (as written on paper)", "Affiliation": "Author Affiliation (as written on paper)" }*/ ### Question How many authors finished the paper "An Improved Active Suspension Model for Attitude Control of Electric Vehicles" together? Clarification: authors refers to AuthorId; 'An Improved Active Suspension Model for Attitude Control of Electric Vehicles' is the Title of a paper; A paper can have more than one author. Co-authorship can be derived from (paper ID, author ID) pair.
[query_database(**{'query': 'SELECT COUNT(T2.AuthorId) FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Title = 'An Improved Active Suspension Model for Attitude Control of Electric Vehicles''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Author" ( Id INTEGER constraint Author_pk primary key, Name TEXT, Affiliation TEXT ) /* 1 example row: SELECT * FROM author LIMIT 1; Id || Name ||Affiliation 9 ||Ernest Jordan || None */ /* column definitions { "Id": "Id of the author", "Name": "Author Name", "Affiliation": "Organization name with which the author is affiliated. " }*/ CREATE TABLE "Conference" ( Id INTEGER constraint Conference_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM conference LIMIT 1; Id ||ShortName || FullName ||HomePage 1 || IADIS ||International Association for Development of the Information Society || */ /* column definitions { "Id": "Conference Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of conference" }*/ CREATE TABLE "Journal" ( Id INTEGER constraint Journal_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM journal LIMIT 1; Id ||ShortName || FullName || HomePage 1 || ICOM ||Zeitschrift Für Interaktive Und Kooperative Medien ||http://www.i-com-media.de */ /* column definitions { "Id": "Journal Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of journal" }*/ CREATE TABLE Paper ( Id INTEGER primary key, Title TEXT, Year INTEGER, ConferenceId INTEGER, JournalId INTEGER, Keyword TEXT, foreign key (ConferenceId) references Conference(Id), foreign key (JournalId) references Journal(Id) ) /* 1 example row: SELECT * FROM paper LIMIT 1; Id || Title ||Year ||ConferenceId ||JournalId || Keyword 1 ||Stitching videos streamed by mobile phones in real-time ||2009 || 167 || 0 ||mobile video capturing|real-time|video stitching */ /* column definitions { "Id": " Id of the paper", "Title": "Title of the paper", "Year": "Year of the paper", "ConferenceId": "Conference Id in which paper was published", "JournalId": "Journal Id in which paper was published", "Keyword": "Keywords of the paper " }*/ CREATE TABLE PaperAuthor ( PaperId INTEGER, AuthorId INTEGER, Name TEXT, Affiliation TEXT, foreign key (PaperId) references Paper(Id), foreign key (AuthorId) references Author(Id) ) /* 1 example row: SELECT * FROM paperauthor LIMIT 1; PaperId ||AuthorId || Name ||Affiliation 4 || 1456512 ||ADAM G. JONES || None */ /* column definitions { "PaperId": " Paper Id", "AuthorId": "Author Id", "Name": "Author Name (as written on paper)", "Affiliation": "Author Affiliation (as written on paper)" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Author" ( Id INTEGER constraint Author_pk primary key, Name TEXT, Affiliation TEXT ) /* 1 example row: SELECT * FROM author LIMIT 1; Id || Name ||Affiliation 9 ||Ernest Jordan || None */ /* column definitions { "Id": "Id of the author", "Name": "Author Name", "Affiliation": "Organization name with which the author is affiliated. " }*/ CREATE TABLE "Conference" ( Id INTEGER constraint Conference_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM conference LIMIT 1; Id ||ShortName || FullName ||HomePage 1 || IADIS ||International Association for Development of the Information Society || */ /* column definitions { "Id": "Conference Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of conference" }*/ CREATE TABLE "Journal" ( Id INTEGER constraint Journal_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM journal LIMIT 1; Id ||ShortName || FullName || HomePage 1 || ICOM ||Zeitschrift Für Interaktive Und Kooperative Medien ||http://www.i-com-media.de */ /* column definitions { "Id": "Journal Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of journal" }*/ CREATE TABLE Paper ( Id INTEGER primary key, Title TEXT, Year INTEGER, ConferenceId INTEGER, JournalId INTEGER, Keyword TEXT, foreign key (ConferenceId) references Conference(Id), foreign key (JournalId) references Journal(Id) ) /* 1 example row: SELECT * FROM paper LIMIT 1; Id || Title ||Year ||ConferenceId ||JournalId || Keyword 1 ||Stitching videos streamed by mobile phones in real-time ||2009 || 167 || 0 ||mobile video capturing|real-time|video stitching */ /* column definitions { "Id": " Id of the paper", "Title": "Title of the paper", "Year": "Year of the paper", "ConferenceId": "Conference Id in which paper was published", "JournalId": "Journal Id in which paper was published", "Keyword": "Keywords of the paper " }*/ CREATE TABLE PaperAuthor ( PaperId INTEGER, AuthorId INTEGER, Name TEXT, Affiliation TEXT, foreign key (PaperId) references Paper(Id), foreign key (AuthorId) references Author(Id) ) /* 1 example row: SELECT * FROM paperauthor LIMIT 1; PaperId ||AuthorId || Name ||Affiliation 4 || 1456512 ||ADAM G. JONES || None */ /* column definitions { "PaperId": " Paper Id", "AuthorId": "Author Id", "Name": "Author Name (as written on paper)", "Affiliation": "Author Affiliation (as written on paper)" }*/ ### Question How many times more for the papers that were presented at the "International Conference on Thermoelectrics" conference than "International Conference on Wireless Networks, Communications and Mobile Computing“ conference? Clarification: 'International Conference on Thermoelectrics' AND 'International Conference on Wireless Networks, Communications and Mobile Computing' are the FullName of the conference; Papers refers to Paper.Id; Calculation = SUBTRACT(SUM(Paper.Id where FullName = 'International Conference on Thermoelectrics'), SUM(Paper.Id where FullName = 'International Conference on Wireless Networks, Communications and Mobile Computing'))
[query_database(**{'query': 'SELECT CAST(SUM(CASE WHEN T2.FullName = 'International Conference on Thermoelectrics' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN T2.FullName = 'International Conference on Wireless Networks, Communications and Mobile Computing' THEN 1 ELSE 0 END) FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Author" ( Id INTEGER constraint Author_pk primary key, Name TEXT, Affiliation TEXT ) /* 1 example row: SELECT * FROM author LIMIT 1; Id || Name ||Affiliation 9 ||Ernest Jordan || None */ /* column definitions { "Id": "Id of the author", "Name": "Author Name", "Affiliation": "Organization name with which the author is affiliated. " }*/ CREATE TABLE "Conference" ( Id INTEGER constraint Conference_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM conference LIMIT 1; Id ||ShortName || FullName ||HomePage 1 || IADIS ||International Association for Development of the Information Society || */ /* column definitions { "Id": "Conference Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of conference" }*/ CREATE TABLE "Journal" ( Id INTEGER constraint Journal_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM journal LIMIT 1; Id ||ShortName || FullName || HomePage 1 || ICOM ||Zeitschrift Für Interaktive Und Kooperative Medien ||http://www.i-com-media.de */ /* column definitions { "Id": "Journal Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of journal" }*/ CREATE TABLE Paper ( Id INTEGER primary key, Title TEXT, Year INTEGER, ConferenceId INTEGER, JournalId INTEGER, Keyword TEXT, foreign key (ConferenceId) references Conference(Id), foreign key (JournalId) references Journal(Id) ) /* 1 example row: SELECT * FROM paper LIMIT 1; Id || Title ||Year ||ConferenceId ||JournalId || Keyword 1 ||Stitching videos streamed by mobile phones in real-time ||2009 || 167 || 0 ||mobile video capturing|real-time|video stitching */ /* column definitions { "Id": " Id of the paper", "Title": "Title of the paper", "Year": "Year of the paper", "ConferenceId": "Conference Id in which paper was published", "JournalId": "Journal Id in which paper was published", "Keyword": "Keywords of the paper " }*/ CREATE TABLE PaperAuthor ( PaperId INTEGER, AuthorId INTEGER, Name TEXT, Affiliation TEXT, foreign key (PaperId) references Paper(Id), foreign key (AuthorId) references Author(Id) ) /* 1 example row: SELECT * FROM paperauthor LIMIT 1; PaperId ||AuthorId || Name ||Affiliation 4 || 1456512 ||ADAM G. JONES || None */ /* column definitions { "PaperId": " Paper Id", "AuthorId": "Author Id", "Name": "Author Name (as written on paper)", "Affiliation": "Author Affiliation (as written on paper)" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Author" ( Id INTEGER constraint Author_pk primary key, Name TEXT, Affiliation TEXT ) /* 1 example row: SELECT * FROM author LIMIT 1; Id || Name ||Affiliation 9 ||Ernest Jordan || None */ /* column definitions { "Id": "Id of the author", "Name": "Author Name", "Affiliation": "Organization name with which the author is affiliated. " }*/ CREATE TABLE "Conference" ( Id INTEGER constraint Conference_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM conference LIMIT 1; Id ||ShortName || FullName ||HomePage 1 || IADIS ||International Association for Development of the Information Society || */ /* column definitions { "Id": "Conference Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of conference" }*/ CREATE TABLE "Journal" ( Id INTEGER constraint Journal_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM journal LIMIT 1; Id ||ShortName || FullName || HomePage 1 || ICOM ||Zeitschrift Für Interaktive Und Kooperative Medien ||http://www.i-com-media.de */ /* column definitions { "Id": "Journal Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of journal" }*/ CREATE TABLE Paper ( Id INTEGER primary key, Title TEXT, Year INTEGER, ConferenceId INTEGER, JournalId INTEGER, Keyword TEXT, foreign key (ConferenceId) references Conference(Id), foreign key (JournalId) references Journal(Id) ) /* 1 example row: SELECT * FROM paper LIMIT 1; Id || Title ||Year ||ConferenceId ||JournalId || Keyword 1 ||Stitching videos streamed by mobile phones in real-time ||2009 || 167 || 0 ||mobile video capturing|real-time|video stitching */ /* column definitions { "Id": " Id of the paper", "Title": "Title of the paper", "Year": "Year of the paper", "ConferenceId": "Conference Id in which paper was published", "JournalId": "Journal Id in which paper was published", "Keyword": "Keywords of the paper " }*/ CREATE TABLE PaperAuthor ( PaperId INTEGER, AuthorId INTEGER, Name TEXT, Affiliation TEXT, foreign key (PaperId) references Paper(Id), foreign key (AuthorId) references Author(Id) ) /* 1 example row: SELECT * FROM paperauthor LIMIT 1; PaperId ||AuthorId || Name ||Affiliation 4 || 1456512 ||ADAM G. JONES || None */ /* column definitions { "PaperId": " Paper Id", "AuthorId": "Author Id", "Name": "Author Name (as written on paper)", "Affiliation": "Author Affiliation (as written on paper)" }*/ ### Question How many authors are affiliated with NASA Langley Research Center? Clarification: NASA Langley Research Center is the Affiliation
[query_database(**{'query': 'SELECT COUNT(Name) FROM Author WHERE Affiliation = 'NASA Langley Research Center''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Author" ( Id INTEGER constraint Author_pk primary key, Name TEXT, Affiliation TEXT ) /* 1 example row: SELECT * FROM author LIMIT 1; Id || Name ||Affiliation 9 ||Ernest Jordan || None */ /* column definitions { "Id": "Id of the author", "Name": "Author Name", "Affiliation": "Organization name with which the author is affiliated. " }*/ CREATE TABLE "Conference" ( Id INTEGER constraint Conference_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM conference LIMIT 1; Id ||ShortName || FullName ||HomePage 1 || IADIS ||International Association for Development of the Information Society || */ /* column definitions { "Id": "Conference Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of conference" }*/ CREATE TABLE "Journal" ( Id INTEGER constraint Journal_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM journal LIMIT 1; Id ||ShortName || FullName || HomePage 1 || ICOM ||Zeitschrift Für Interaktive Und Kooperative Medien ||http://www.i-com-media.de */ /* column definitions { "Id": "Journal Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of journal" }*/ CREATE TABLE Paper ( Id INTEGER primary key, Title TEXT, Year INTEGER, ConferenceId INTEGER, JournalId INTEGER, Keyword TEXT, foreign key (ConferenceId) references Conference(Id), foreign key (JournalId) references Journal(Id) ) /* 1 example row: SELECT * FROM paper LIMIT 1; Id || Title ||Year ||ConferenceId ||JournalId || Keyword 1 ||Stitching videos streamed by mobile phones in real-time ||2009 || 167 || 0 ||mobile video capturing|real-time|video stitching */ /* column definitions { "Id": " Id of the paper", "Title": "Title of the paper", "Year": "Year of the paper", "ConferenceId": "Conference Id in which paper was published", "JournalId": "Journal Id in which paper was published", "Keyword": "Keywords of the paper " }*/ CREATE TABLE PaperAuthor ( PaperId INTEGER, AuthorId INTEGER, Name TEXT, Affiliation TEXT, foreign key (PaperId) references Paper(Id), foreign key (AuthorId) references Author(Id) ) /* 1 example row: SELECT * FROM paperauthor LIMIT 1; PaperId ||AuthorId || Name ||Affiliation 4 || 1456512 ||ADAM G. JONES || None */ /* column definitions { "PaperId": " Paper Id", "AuthorId": "Author Id", "Name": "Author Name (as written on paper)", "Affiliation": "Author Affiliation (as written on paper)" }*/
3,643
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Author" ( Id INTEGER constraint Author_pk primary key, Name TEXT, Affiliation TEXT ) /* 1 example row: SELECT * FROM author LIMIT 1; Id || Name ||Affiliation 9 ||Ernest Jordan || None */ /* column definitions { "Id": "Id of the author", "Name": "Author Name", "Affiliation": "Organization name with which the author is affiliated. " }*/ CREATE TABLE "Conference" ( Id INTEGER constraint Conference_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM conference LIMIT 1; Id ||ShortName || FullName ||HomePage 1 || IADIS ||International Association for Development of the Information Society || */ /* column definitions { "Id": "Conference Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of conference" }*/ CREATE TABLE "Journal" ( Id INTEGER constraint Journal_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM journal LIMIT 1; Id ||ShortName || FullName || HomePage 1 || ICOM ||Zeitschrift Für Interaktive Und Kooperative Medien ||http://www.i-com-media.de */ /* column definitions { "Id": "Journal Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of journal" }*/ CREATE TABLE Paper ( Id INTEGER primary key, Title TEXT, Year INTEGER, ConferenceId INTEGER, JournalId INTEGER, Keyword TEXT, foreign key (ConferenceId) references Conference(Id), foreign key (JournalId) references Journal(Id) ) /* 1 example row: SELECT * FROM paper LIMIT 1; Id || Title ||Year ||ConferenceId ||JournalId || Keyword 1 ||Stitching videos streamed by mobile phones in real-time ||2009 || 167 || 0 ||mobile video capturing|real-time|video stitching */ /* column definitions { "Id": " Id of the paper", "Title": "Title of the paper", "Year": "Year of the paper", "ConferenceId": "Conference Id in which paper was published", "JournalId": "Journal Id in which paper was published", "Keyword": "Keywords of the paper " }*/ CREATE TABLE PaperAuthor ( PaperId INTEGER, AuthorId INTEGER, Name TEXT, Affiliation TEXT, foreign key (PaperId) references Paper(Id), foreign key (AuthorId) references Author(Id) ) /* 1 example row: SELECT * FROM paperauthor LIMIT 1; PaperId ||AuthorId || Name ||Affiliation 4 || 1456512 ||ADAM G. JONES || None */ /* column definitions { "PaperId": " Paper Id", "AuthorId": "Author Id", "Name": "Author Name (as written on paper)", "Affiliation": "Author Affiliation (as written on paper)" }*/ ### Question Which paper published by the "TUBERCLE LUNG DIS" journal is the oldest? Clarification: paper refers to Title; TUBERCLE LUNG DIS is the ShortName of journal; the oldest refers to MIN(Year)
[query_database(**{'query': 'SELECT T2.Title FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T1.ShortName = 'TUBERCLE LUNG DIS' ORDER BY T2.Year 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 "Author" ( Id INTEGER constraint Author_pk primary key, Name TEXT, Affiliation TEXT ) /* 1 example row: SELECT * FROM author LIMIT 1; Id || Name ||Affiliation 9 ||Ernest Jordan || None */ /* column definitions { "Id": "Id of the author", "Name": "Author Name", "Affiliation": "Organization name with which the author is affiliated. " }*/ CREATE TABLE "Conference" ( Id INTEGER constraint Conference_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM conference LIMIT 1; Id ||ShortName || FullName ||HomePage 1 || IADIS ||International Association for Development of the Information Society || */ /* column definitions { "Id": "Conference Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of conference" }*/ CREATE TABLE "Journal" ( Id INTEGER constraint Journal_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM journal LIMIT 1; Id ||ShortName || FullName || HomePage 1 || ICOM ||Zeitschrift Für Interaktive Und Kooperative Medien ||http://www.i-com-media.de */ /* column definitions { "Id": "Journal Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of journal" }*/ CREATE TABLE Paper ( Id INTEGER primary key, Title TEXT, Year INTEGER, ConferenceId INTEGER, JournalId INTEGER, Keyword TEXT, foreign key (ConferenceId) references Conference(Id), foreign key (JournalId) references Journal(Id) ) /* 1 example row: SELECT * FROM paper LIMIT 1; Id || Title ||Year ||ConferenceId ||JournalId || Keyword 1 ||Stitching videos streamed by mobile phones in real-time ||2009 || 167 || 0 ||mobile video capturing|real-time|video stitching */ /* column definitions { "Id": " Id of the paper", "Title": "Title of the paper", "Year": "Year of the paper", "ConferenceId": "Conference Id in which paper was published", "JournalId": "Journal Id in which paper was published", "Keyword": "Keywords of the paper " }*/ CREATE TABLE PaperAuthor ( PaperId INTEGER, AuthorId INTEGER, Name TEXT, Affiliation TEXT, foreign key (PaperId) references Paper(Id), foreign key (AuthorId) references Author(Id) ) /* 1 example row: SELECT * FROM paperauthor LIMIT 1; PaperId ||AuthorId || Name ||Affiliation 4 || 1456512 ||ADAM G. JONES || None */ /* column definitions { "PaperId": " Paper Id", "AuthorId": "Author Id", "Name": "Author Name (as written on paper)", "Affiliation": "Author Affiliation (as written on paper)" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Author" ( Id INTEGER constraint Author_pk primary key, Name TEXT, Affiliation TEXT ) /* 1 example row: SELECT * FROM author LIMIT 1; Id || Name ||Affiliation 9 ||Ernest Jordan || None */ /* column definitions { "Id": "Id of the author", "Name": "Author Name", "Affiliation": "Organization name with which the author is affiliated. " }*/ CREATE TABLE "Conference" ( Id INTEGER constraint Conference_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM conference LIMIT 1; Id ||ShortName || FullName ||HomePage 1 || IADIS ||International Association for Development of the Information Society || */ /* column definitions { "Id": "Conference Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of conference" }*/ CREATE TABLE "Journal" ( Id INTEGER constraint Journal_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM journal LIMIT 1; Id ||ShortName || FullName || HomePage 1 || ICOM ||Zeitschrift Für Interaktive Und Kooperative Medien ||http://www.i-com-media.de */ /* column definitions { "Id": "Journal Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of journal" }*/ CREATE TABLE Paper ( Id INTEGER primary key, Title TEXT, Year INTEGER, ConferenceId INTEGER, JournalId INTEGER, Keyword TEXT, foreign key (ConferenceId) references Conference(Id), foreign key (JournalId) references Journal(Id) ) /* 1 example row: SELECT * FROM paper LIMIT 1; Id || Title ||Year ||ConferenceId ||JournalId || Keyword 1 ||Stitching videos streamed by mobile phones in real-time ||2009 || 167 || 0 ||mobile video capturing|real-time|video stitching */ /* column definitions { "Id": " Id of the paper", "Title": "Title of the paper", "Year": "Year of the paper", "ConferenceId": "Conference Id in which paper was published", "JournalId": "Journal Id in which paper was published", "Keyword": "Keywords of the paper " }*/ CREATE TABLE PaperAuthor ( PaperId INTEGER, AuthorId INTEGER, Name TEXT, Affiliation TEXT, foreign key (PaperId) references Paper(Id), foreign key (AuthorId) references Author(Id) ) /* 1 example row: SELECT * FROM paperauthor LIMIT 1; PaperId ||AuthorId || Name ||Affiliation 4 || 1456512 ||ADAM G. JONES || None */ /* column definitions { "PaperId": " Paper Id", "AuthorId": "Author Id", "Name": "Author Name (as written on paper)", "Affiliation": "Author Affiliation (as written on paper)" }*/ ### Question What are the affiliations of the author "Mark A. Musen" written on and off paper? Clarification: Mark A. Musen refer to Author.Name;
[query_database(**{'query': 'SELECT T1.Affiliation FROM PaperAuthor AS T1 INNER JOIN Author AS T2 ON T1.AuthorId = T2.Id WHERE T2.Name = 'Mark A. Musen''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Author" ( Id INTEGER constraint Author_pk primary key, Name TEXT, Affiliation TEXT ) /* 1 example row: SELECT * FROM author LIMIT 1; Id || Name ||Affiliation 9 ||Ernest Jordan || None */ /* column definitions { "Id": "Id of the author", "Name": "Author Name", "Affiliation": "Organization name with which the author is affiliated. " }*/ CREATE TABLE "Conference" ( Id INTEGER constraint Conference_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM conference LIMIT 1; Id ||ShortName || FullName ||HomePage 1 || IADIS ||International Association for Development of the Information Society || */ /* column definitions { "Id": "Conference Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of conference" }*/ CREATE TABLE "Journal" ( Id INTEGER constraint Journal_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM journal LIMIT 1; Id ||ShortName || FullName || HomePage 1 || ICOM ||Zeitschrift Für Interaktive Und Kooperative Medien ||http://www.i-com-media.de */ /* column definitions { "Id": "Journal Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of journal" }*/ CREATE TABLE Paper ( Id INTEGER primary key, Title TEXT, Year INTEGER, ConferenceId INTEGER, JournalId INTEGER, Keyword TEXT, foreign key (ConferenceId) references Conference(Id), foreign key (JournalId) references Journal(Id) ) /* 1 example row: SELECT * FROM paper LIMIT 1; Id || Title ||Year ||ConferenceId ||JournalId || Keyword 1 ||Stitching videos streamed by mobile phones in real-time ||2009 || 167 || 0 ||mobile video capturing|real-time|video stitching */ /* column definitions { "Id": " Id of the paper", "Title": "Title of the paper", "Year": "Year of the paper", "ConferenceId": "Conference Id in which paper was published", "JournalId": "Journal Id in which paper was published", "Keyword": "Keywords of the paper " }*/ CREATE TABLE PaperAuthor ( PaperId INTEGER, AuthorId INTEGER, Name TEXT, Affiliation TEXT, foreign key (PaperId) references Paper(Id), foreign key (AuthorId) references Author(Id) ) /* 1 example row: SELECT * FROM paperauthor LIMIT 1; PaperId ||AuthorId || Name ||Affiliation 4 || 1456512 ||ADAM G. JONES || None */ /* column definitions { "PaperId": " Paper Id", "AuthorId": "Author Id", "Name": "Author Name (as written on paper)", "Affiliation": "Author Affiliation (as written on paper)" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Author" ( Id INTEGER constraint Author_pk primary key, Name TEXT, Affiliation TEXT ) /* 1 example row: SELECT * FROM author LIMIT 1; Id || Name ||Affiliation 9 ||Ernest Jordan || None */ /* column definitions { "Id": "Id of the author", "Name": "Author Name", "Affiliation": "Organization name with which the author is affiliated. " }*/ CREATE TABLE "Conference" ( Id INTEGER constraint Conference_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM conference LIMIT 1; Id ||ShortName || FullName ||HomePage 1 || IADIS ||International Association for Development of the Information Society || */ /* column definitions { "Id": "Conference Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of conference" }*/ CREATE TABLE "Journal" ( Id INTEGER constraint Journal_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM journal LIMIT 1; Id ||ShortName || FullName || HomePage 1 || ICOM ||Zeitschrift Für Interaktive Und Kooperative Medien ||http://www.i-com-media.de */ /* column definitions { "Id": "Journal Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of journal" }*/ CREATE TABLE Paper ( Id INTEGER primary key, Title TEXT, Year INTEGER, ConferenceId INTEGER, JournalId INTEGER, Keyword TEXT, foreign key (ConferenceId) references Conference(Id), foreign key (JournalId) references Journal(Id) ) /* 1 example row: SELECT * FROM paper LIMIT 1; Id || Title ||Year ||ConferenceId ||JournalId || Keyword 1 ||Stitching videos streamed by mobile phones in real-time ||2009 || 167 || 0 ||mobile video capturing|real-time|video stitching */ /* column definitions { "Id": " Id of the paper", "Title": "Title of the paper", "Year": "Year of the paper", "ConferenceId": "Conference Id in which paper was published", "JournalId": "Journal Id in which paper was published", "Keyword": "Keywords of the paper " }*/ CREATE TABLE PaperAuthor ( PaperId INTEGER, AuthorId INTEGER, Name TEXT, Affiliation TEXT, foreign key (PaperId) references Paper(Id), foreign key (AuthorId) references Author(Id) ) /* 1 example row: SELECT * FROM paperauthor LIMIT 1; PaperId ||AuthorId || Name ||Affiliation 4 || 1456512 ||ADAM G. JONES || None */ /* column definitions { "PaperId": " Paper Id", "AuthorId": "Author Id", "Name": "Author Name (as written on paper)", "Affiliation": "Author Affiliation (as written on paper)" }*/ ### Question What are the different ways the name of the author, Randall Davis, is written on their papers? Clarification: Randall Davis refer to Author.Name
[query_database(**{'query': 'SELECT DISTINCT T1.Name FROM PaperAuthor AS T1 INNER JOIN Author AS T2 ON T1.AuthorId = T2.Id WHERE T2.Name = 'Randall Davis' AND T1.Name != 'Randall Davis''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Author" ( Id INTEGER constraint Author_pk primary key, Name TEXT, Affiliation TEXT ) /* 1 example row: SELECT * FROM author LIMIT 1; Id || Name ||Affiliation 9 ||Ernest Jordan || None */ /* column definitions { "Id": "Id of the author", "Name": "Author Name", "Affiliation": "Organization name with which the author is affiliated. " }*/ CREATE TABLE "Conference" ( Id INTEGER constraint Conference_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM conference LIMIT 1; Id ||ShortName || FullName ||HomePage 1 || IADIS ||International Association for Development of the Information Society || */ /* column definitions { "Id": "Conference Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of conference" }*/ CREATE TABLE "Journal" ( Id INTEGER constraint Journal_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM journal LIMIT 1; Id ||ShortName || FullName || HomePage 1 || ICOM ||Zeitschrift Für Interaktive Und Kooperative Medien ||http://www.i-com-media.de */ /* column definitions { "Id": "Journal Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of journal" }*/ CREATE TABLE Paper ( Id INTEGER primary key, Title TEXT, Year INTEGER, ConferenceId INTEGER, JournalId INTEGER, Keyword TEXT, foreign key (ConferenceId) references Conference(Id), foreign key (JournalId) references Journal(Id) ) /* 1 example row: SELECT * FROM paper LIMIT 1; Id || Title ||Year ||ConferenceId ||JournalId || Keyword 1 ||Stitching videos streamed by mobile phones in real-time ||2009 || 167 || 0 ||mobile video capturing|real-time|video stitching */ /* column definitions { "Id": " Id of the paper", "Title": "Title of the paper", "Year": "Year of the paper", "ConferenceId": "Conference Id in which paper was published", "JournalId": "Journal Id in which paper was published", "Keyword": "Keywords of the paper " }*/ CREATE TABLE PaperAuthor ( PaperId INTEGER, AuthorId INTEGER, Name TEXT, Affiliation TEXT, foreign key (PaperId) references Paper(Id), foreign key (AuthorId) references Author(Id) ) /* 1 example row: SELECT * FROM paperauthor LIMIT 1; PaperId ||AuthorId || Name ||Affiliation 4 || 1456512 ||ADAM G. JONES || None */ /* column definitions { "PaperId": " Paper Id", "AuthorId": "Author Id", "Name": "Author Name (as written on paper)", "Affiliation": "Author Affiliation (as written on paper)" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Author" ( Id INTEGER constraint Author_pk primary key, Name TEXT, Affiliation TEXT ) /* 1 example row: SELECT * FROM author LIMIT 1; Id || Name ||Affiliation 9 ||Ernest Jordan || None */ /* column definitions { "Id": "Id of the author", "Name": "Author Name", "Affiliation": "Organization name with which the author is affiliated. " }*/ CREATE TABLE "Conference" ( Id INTEGER constraint Conference_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM conference LIMIT 1; Id ||ShortName || FullName ||HomePage 1 || IADIS ||International Association for Development of the Information Society || */ /* column definitions { "Id": "Conference Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of conference" }*/ CREATE TABLE "Journal" ( Id INTEGER constraint Journal_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM journal LIMIT 1; Id ||ShortName || FullName || HomePage 1 || ICOM ||Zeitschrift Für Interaktive Und Kooperative Medien ||http://www.i-com-media.de */ /* column definitions { "Id": "Journal Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of journal" }*/ CREATE TABLE Paper ( Id INTEGER primary key, Title TEXT, Year INTEGER, ConferenceId INTEGER, JournalId INTEGER, Keyword TEXT, foreign key (ConferenceId) references Conference(Id), foreign key (JournalId) references Journal(Id) ) /* 1 example row: SELECT * FROM paper LIMIT 1; Id || Title ||Year ||ConferenceId ||JournalId || Keyword 1 ||Stitching videos streamed by mobile phones in real-time ||2009 || 167 || 0 ||mobile video capturing|real-time|video stitching */ /* column definitions { "Id": " Id of the paper", "Title": "Title of the paper", "Year": "Year of the paper", "ConferenceId": "Conference Id in which paper was published", "JournalId": "Journal Id in which paper was published", "Keyword": "Keywords of the paper " }*/ CREATE TABLE PaperAuthor ( PaperId INTEGER, AuthorId INTEGER, Name TEXT, Affiliation TEXT, foreign key (PaperId) references Paper(Id), foreign key (AuthorId) references Author(Id) ) /* 1 example row: SELECT * FROM paperauthor LIMIT 1; PaperId ||AuthorId || Name ||Affiliation 4 || 1456512 ||ADAM G. JONES || None */ /* column definitions { "PaperId": " Paper Id", "AuthorId": "Author Id", "Name": "Author Name (as written on paper)", "Affiliation": "Author Affiliation (as written on paper)" }*/ ### Question What is the name of author with the ID of 1722? Clarification:
[query_database(**{'query': 'SELECT Name FROM Author WHERE Id = 1722'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Author" ( Id INTEGER constraint Author_pk primary key, Name TEXT, Affiliation TEXT ) /* 1 example row: SELECT * FROM author LIMIT 1; Id || Name ||Affiliation 9 ||Ernest Jordan || None */ /* column definitions { "Id": "Id of the author", "Name": "Author Name", "Affiliation": "Organization name with which the author is affiliated. " }*/ CREATE TABLE "Conference" ( Id INTEGER constraint Conference_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM conference LIMIT 1; Id ||ShortName || FullName ||HomePage 1 || IADIS ||International Association for Development of the Information Society || */ /* column definitions { "Id": "Conference Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of conference" }*/ CREATE TABLE "Journal" ( Id INTEGER constraint Journal_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM journal LIMIT 1; Id ||ShortName || FullName || HomePage 1 || ICOM ||Zeitschrift Für Interaktive Und Kooperative Medien ||http://www.i-com-media.de */ /* column definitions { "Id": "Journal Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of journal" }*/ CREATE TABLE Paper ( Id INTEGER primary key, Title TEXT, Year INTEGER, ConferenceId INTEGER, JournalId INTEGER, Keyword TEXT, foreign key (ConferenceId) references Conference(Id), foreign key (JournalId) references Journal(Id) ) /* 1 example row: SELECT * FROM paper LIMIT 1; Id || Title ||Year ||ConferenceId ||JournalId || Keyword 1 ||Stitching videos streamed by mobile phones in real-time ||2009 || 167 || 0 ||mobile video capturing|real-time|video stitching */ /* column definitions { "Id": " Id of the paper", "Title": "Title of the paper", "Year": "Year of the paper", "ConferenceId": "Conference Id in which paper was published", "JournalId": "Journal Id in which paper was published", "Keyword": "Keywords of the paper " }*/ CREATE TABLE PaperAuthor ( PaperId INTEGER, AuthorId INTEGER, Name TEXT, Affiliation TEXT, foreign key (PaperId) references Paper(Id), foreign key (AuthorId) references Author(Id) ) /* 1 example row: SELECT * FROM paperauthor LIMIT 1; PaperId ||AuthorId || Name ||Affiliation 4 || 1456512 ||ADAM G. JONES || None */ /* column definitions { "PaperId": " Paper Id", "AuthorId": "Author Id", "Name": "Author Name (as written on paper)", "Affiliation": "Author Affiliation (as written on paper)" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Author" ( Id INTEGER constraint Author_pk primary key, Name TEXT, Affiliation TEXT ) /* 1 example row: SELECT * FROM author LIMIT 1; Id || Name ||Affiliation 9 ||Ernest Jordan || None */ /* column definitions { "Id": "Id of the author", "Name": "Author Name", "Affiliation": "Organization name with which the author is affiliated. " }*/ CREATE TABLE "Conference" ( Id INTEGER constraint Conference_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM conference LIMIT 1; Id ||ShortName || FullName ||HomePage 1 || IADIS ||International Association for Development of the Information Society || */ /* column definitions { "Id": "Conference Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of conference" }*/ CREATE TABLE "Journal" ( Id INTEGER constraint Journal_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM journal LIMIT 1; Id ||ShortName || FullName || HomePage 1 || ICOM ||Zeitschrift Für Interaktive Und Kooperative Medien ||http://www.i-com-media.de */ /* column definitions { "Id": "Journal Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of journal" }*/ CREATE TABLE Paper ( Id INTEGER primary key, Title TEXT, Year INTEGER, ConferenceId INTEGER, JournalId INTEGER, Keyword TEXT, foreign key (ConferenceId) references Conference(Id), foreign key (JournalId) references Journal(Id) ) /* 1 example row: SELECT * FROM paper LIMIT 1; Id || Title ||Year ||ConferenceId ||JournalId || Keyword 1 ||Stitching videos streamed by mobile phones in real-time ||2009 || 167 || 0 ||mobile video capturing|real-time|video stitching */ /* column definitions { "Id": " Id of the paper", "Title": "Title of the paper", "Year": "Year of the paper", "ConferenceId": "Conference Id in which paper was published", "JournalId": "Journal Id in which paper was published", "Keyword": "Keywords of the paper " }*/ CREATE TABLE PaperAuthor ( PaperId INTEGER, AuthorId INTEGER, Name TEXT, Affiliation TEXT, foreign key (PaperId) references Paper(Id), foreign key (AuthorId) references Author(Id) ) /* 1 example row: SELECT * FROM paperauthor LIMIT 1; PaperId ||AuthorId || Name ||Affiliation 4 || 1456512 ||ADAM G. JONES || None */ /* column definitions { "PaperId": " Paper Id", "AuthorId": "Author Id", "Name": "Author Name (as written on paper)", "Affiliation": "Author Affiliation (as written on paper)" }*/ ### Question State the title of papers published in the Ibm Journal of Research and Development. Clarification: Ibm Journal of Research and Development refer to FullName 'Ibm Journal of Research and Development' is the full name of paper
[query_database(**{'query': 'SELECT T2.Title FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T1.FullName = 'Ibm Journal of Research and Development''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Author" ( Id INTEGER constraint Author_pk primary key, Name TEXT, Affiliation TEXT ) /* 1 example row: SELECT * FROM author LIMIT 1; Id || Name ||Affiliation 9 ||Ernest Jordan || None */ /* column definitions { "Id": "Id of the author", "Name": "Author Name", "Affiliation": "Organization name with which the author is affiliated. " }*/ CREATE TABLE "Conference" ( Id INTEGER constraint Conference_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM conference LIMIT 1; Id ||ShortName || FullName ||HomePage 1 || IADIS ||International Association for Development of the Information Society || */ /* column definitions { "Id": "Conference Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of conference" }*/ CREATE TABLE "Journal" ( Id INTEGER constraint Journal_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM journal LIMIT 1; Id ||ShortName || FullName || HomePage 1 || ICOM ||Zeitschrift Für Interaktive Und Kooperative Medien ||http://www.i-com-media.de */ /* column definitions { "Id": "Journal Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of journal" }*/ CREATE TABLE Paper ( Id INTEGER primary key, Title TEXT, Year INTEGER, ConferenceId INTEGER, JournalId INTEGER, Keyword TEXT, foreign key (ConferenceId) references Conference(Id), foreign key (JournalId) references Journal(Id) ) /* 1 example row: SELECT * FROM paper LIMIT 1; Id || Title ||Year ||ConferenceId ||JournalId || Keyword 1 ||Stitching videos streamed by mobile phones in real-time ||2009 || 167 || 0 ||mobile video capturing|real-time|video stitching */ /* column definitions { "Id": " Id of the paper", "Title": "Title of the paper", "Year": "Year of the paper", "ConferenceId": "Conference Id in which paper was published", "JournalId": "Journal Id in which paper was published", "Keyword": "Keywords of the paper " }*/ CREATE TABLE PaperAuthor ( PaperId INTEGER, AuthorId INTEGER, Name TEXT, Affiliation TEXT, foreign key (PaperId) references Paper(Id), foreign key (AuthorId) references Author(Id) ) /* 1 example row: SELECT * FROM paperauthor LIMIT 1; PaperId ||AuthorId || Name ||Affiliation 4 || 1456512 ||ADAM G. JONES || None */ /* column definitions { "PaperId": " Paper Id", "AuthorId": "Author Id", "Name": "Author Name (as written on paper)", "Affiliation": "Author Affiliation (as written on paper)" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Author" ( Id INTEGER constraint Author_pk primary key, Name TEXT, Affiliation TEXT ) /* 1 example row: SELECT * FROM author LIMIT 1; Id || Name ||Affiliation 9 ||Ernest Jordan || None */ /* column definitions { "Id": "Id of the author", "Name": "Author Name", "Affiliation": "Organization name with which the author is affiliated. " }*/ CREATE TABLE "Conference" ( Id INTEGER constraint Conference_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM conference LIMIT 1; Id ||ShortName || FullName ||HomePage 1 || IADIS ||International Association for Development of the Information Society || */ /* column definitions { "Id": "Conference Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of conference" }*/ CREATE TABLE "Journal" ( Id INTEGER constraint Journal_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM journal LIMIT 1; Id ||ShortName || FullName || HomePage 1 || ICOM ||Zeitschrift Für Interaktive Und Kooperative Medien ||http://www.i-com-media.de */ /* column definitions { "Id": "Journal Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of journal" }*/ CREATE TABLE Paper ( Id INTEGER primary key, Title TEXT, Year INTEGER, ConferenceId INTEGER, JournalId INTEGER, Keyword TEXT, foreign key (ConferenceId) references Conference(Id), foreign key (JournalId) references Journal(Id) ) /* 1 example row: SELECT * FROM paper LIMIT 1; Id || Title ||Year ||ConferenceId ||JournalId || Keyword 1 ||Stitching videos streamed by mobile phones in real-time ||2009 || 167 || 0 ||mobile video capturing|real-time|video stitching */ /* column definitions { "Id": " Id of the paper", "Title": "Title of the paper", "Year": "Year of the paper", "ConferenceId": "Conference Id in which paper was published", "JournalId": "Journal Id in which paper was published", "Keyword": "Keywords of the paper " }*/ CREATE TABLE PaperAuthor ( PaperId INTEGER, AuthorId INTEGER, Name TEXT, Affiliation TEXT, foreign key (PaperId) references Paper(Id), foreign key (AuthorId) references Author(Id) ) /* 1 example row: SELECT * FROM paperauthor LIMIT 1; PaperId ||AuthorId || Name ||Affiliation 4 || 1456512 ||ADAM G. JONES || None */ /* column definitions { "PaperId": " Paper Id", "AuthorId": "Author Id", "Name": "Author Name (as written on paper)", "Affiliation": "Author Affiliation (as written on paper)" }*/ ### Question How many papers were published in International Workshop on Inductive Logic Programming from 2001 to 2009? Clarification: From 2001 to 2009 refer to Year 2001 BETWEEN 2009; 'International Workshop on Inductive Logic Programming' refer to Conference.FullName
[query_database(**{'query': 'SELECT COUNT(T1.Id) FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T2.FullName = 'International Workshop on Inductive Logic Programming' AND T1.Year BETWEEN 2001 AND 2009'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Author" ( Id INTEGER constraint Author_pk primary key, Name TEXT, Affiliation TEXT ) /* 1 example row: SELECT * FROM author LIMIT 1; Id || Name ||Affiliation 9 ||Ernest Jordan || None */ /* column definitions { "Id": "Id of the author", "Name": "Author Name", "Affiliation": "Organization name with which the author is affiliated. " }*/ CREATE TABLE "Conference" ( Id INTEGER constraint Conference_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM conference LIMIT 1; Id ||ShortName || FullName ||HomePage 1 || IADIS ||International Association for Development of the Information Society || */ /* column definitions { "Id": "Conference Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of conference" }*/ CREATE TABLE "Journal" ( Id INTEGER constraint Journal_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM journal LIMIT 1; Id ||ShortName || FullName || HomePage 1 || ICOM ||Zeitschrift Für Interaktive Und Kooperative Medien ||http://www.i-com-media.de */ /* column definitions { "Id": "Journal Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of journal" }*/ CREATE TABLE Paper ( Id INTEGER primary key, Title TEXT, Year INTEGER, ConferenceId INTEGER, JournalId INTEGER, Keyword TEXT, foreign key (ConferenceId) references Conference(Id), foreign key (JournalId) references Journal(Id) ) /* 1 example row: SELECT * FROM paper LIMIT 1; Id || Title ||Year ||ConferenceId ||JournalId || Keyword 1 ||Stitching videos streamed by mobile phones in real-time ||2009 || 167 || 0 ||mobile video capturing|real-time|video stitching */ /* column definitions { "Id": " Id of the paper", "Title": "Title of the paper", "Year": "Year of the paper", "ConferenceId": "Conference Id in which paper was published", "JournalId": "Journal Id in which paper was published", "Keyword": "Keywords of the paper " }*/ CREATE TABLE PaperAuthor ( PaperId INTEGER, AuthorId INTEGER, Name TEXT, Affiliation TEXT, foreign key (PaperId) references Paper(Id), foreign key (AuthorId) references Author(Id) ) /* 1 example row: SELECT * FROM paperauthor LIMIT 1; PaperId ||AuthorId || Name ||Affiliation 4 || 1456512 ||ADAM G. JONES || None */ /* column definitions { "PaperId": " Paper Id", "AuthorId": "Author Id", "Name": "Author Name (as written on paper)", "Affiliation": "Author Affiliation (as written on paper)" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Author" ( Id INTEGER constraint Author_pk primary key, Name TEXT, Affiliation TEXT ) /* 1 example row: SELECT * FROM author LIMIT 1; Id || Name ||Affiliation 9 ||Ernest Jordan || None */ /* column definitions { "Id": "Id of the author", "Name": "Author Name", "Affiliation": "Organization name with which the author is affiliated. " }*/ CREATE TABLE "Conference" ( Id INTEGER constraint Conference_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM conference LIMIT 1; Id ||ShortName || FullName ||HomePage 1 || IADIS ||International Association for Development of the Information Society || */ /* column definitions { "Id": "Conference Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of conference" }*/ CREATE TABLE "Journal" ( Id INTEGER constraint Journal_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM journal LIMIT 1; Id ||ShortName || FullName || HomePage 1 || ICOM ||Zeitschrift Für Interaktive Und Kooperative Medien ||http://www.i-com-media.de */ /* column definitions { "Id": "Journal Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of journal" }*/ CREATE TABLE Paper ( Id INTEGER primary key, Title TEXT, Year INTEGER, ConferenceId INTEGER, JournalId INTEGER, Keyword TEXT, foreign key (ConferenceId) references Conference(Id), foreign key (JournalId) references Journal(Id) ) /* 1 example row: SELECT * FROM paper LIMIT 1; Id || Title ||Year ||ConferenceId ||JournalId || Keyword 1 ||Stitching videos streamed by mobile phones in real-time ||2009 || 167 || 0 ||mobile video capturing|real-time|video stitching */ /* column definitions { "Id": " Id of the paper", "Title": "Title of the paper", "Year": "Year of the paper", "ConferenceId": "Conference Id in which paper was published", "JournalId": "Journal Id in which paper was published", "Keyword": "Keywords of the paper " }*/ CREATE TABLE PaperAuthor ( PaperId INTEGER, AuthorId INTEGER, Name TEXT, Affiliation TEXT, foreign key (PaperId) references Paper(Id), foreign key (AuthorId) references Author(Id) ) /* 1 example row: SELECT * FROM paperauthor LIMIT 1; PaperId ||AuthorId || Name ||Affiliation 4 || 1456512 ||ADAM G. JONES || None */ /* column definitions { "PaperId": " Paper Id", "AuthorId": "Author Id", "Name": "Author Name (as written on paper)", "Affiliation": "Author Affiliation (as written on paper)" }*/ ### Question Provide the name of the author who is affiliated with the organization named 'ABB Electrical Machines'. Clarification: 'ABB Electrical Machines' is an affiliation
[query_database(**{'query': 'SELECT Name FROM Author WHERE Affiliation = 'ABB Electrical Machines''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Author" ( Id INTEGER constraint Author_pk primary key, Name TEXT, Affiliation TEXT ) /* 1 example row: SELECT * FROM author LIMIT 1; Id || Name ||Affiliation 9 ||Ernest Jordan || None */ /* column definitions { "Id": "Id of the author", "Name": "Author Name", "Affiliation": "Organization name with which the author is affiliated. " }*/ CREATE TABLE "Conference" ( Id INTEGER constraint Conference_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM conference LIMIT 1; Id ||ShortName || FullName ||HomePage 1 || IADIS ||International Association for Development of the Information Society || */ /* column definitions { "Id": "Conference Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of conference" }*/ CREATE TABLE "Journal" ( Id INTEGER constraint Journal_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM journal LIMIT 1; Id ||ShortName || FullName || HomePage 1 || ICOM ||Zeitschrift Für Interaktive Und Kooperative Medien ||http://www.i-com-media.de */ /* column definitions { "Id": "Journal Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of journal" }*/ CREATE TABLE Paper ( Id INTEGER primary key, Title TEXT, Year INTEGER, ConferenceId INTEGER, JournalId INTEGER, Keyword TEXT, foreign key (ConferenceId) references Conference(Id), foreign key (JournalId) references Journal(Id) ) /* 1 example row: SELECT * FROM paper LIMIT 1; Id || Title ||Year ||ConferenceId ||JournalId || Keyword 1 ||Stitching videos streamed by mobile phones in real-time ||2009 || 167 || 0 ||mobile video capturing|real-time|video stitching */ /* column definitions { "Id": " Id of the paper", "Title": "Title of the paper", "Year": "Year of the paper", "ConferenceId": "Conference Id in which paper was published", "JournalId": "Journal Id in which paper was published", "Keyword": "Keywords of the paper " }*/ CREATE TABLE PaperAuthor ( PaperId INTEGER, AuthorId INTEGER, Name TEXT, Affiliation TEXT, foreign key (PaperId) references Paper(Id), foreign key (AuthorId) references Author(Id) ) /* 1 example row: SELECT * FROM paperauthor LIMIT 1; PaperId ||AuthorId || Name ||Affiliation 4 || 1456512 ||ADAM G. JONES || None */ /* column definitions { "PaperId": " Paper Id", "AuthorId": "Author Id", "Name": "Author Name (as written on paper)", "Affiliation": "Author Affiliation (as written on paper)" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Author" ( Id INTEGER constraint Author_pk primary key, Name TEXT, Affiliation TEXT ) /* 1 example row: SELECT * FROM author LIMIT 1; Id || Name ||Affiliation 9 ||Ernest Jordan || None */ /* column definitions { "Id": "Id of the author", "Name": "Author Name", "Affiliation": "Organization name with which the author is affiliated. " }*/ CREATE TABLE "Conference" ( Id INTEGER constraint Conference_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM conference LIMIT 1; Id ||ShortName || FullName ||HomePage 1 || IADIS ||International Association for Development of the Information Society || */ /* column definitions { "Id": "Conference Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of conference" }*/ CREATE TABLE "Journal" ( Id INTEGER constraint Journal_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM journal LIMIT 1; Id ||ShortName || FullName || HomePage 1 || ICOM ||Zeitschrift Für Interaktive Und Kooperative Medien ||http://www.i-com-media.de */ /* column definitions { "Id": "Journal Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of journal" }*/ CREATE TABLE Paper ( Id INTEGER primary key, Title TEXT, Year INTEGER, ConferenceId INTEGER, JournalId INTEGER, Keyword TEXT, foreign key (ConferenceId) references Conference(Id), foreign key (JournalId) references Journal(Id) ) /* 1 example row: SELECT * FROM paper LIMIT 1; Id || Title ||Year ||ConferenceId ||JournalId || Keyword 1 ||Stitching videos streamed by mobile phones in real-time ||2009 || 167 || 0 ||mobile video capturing|real-time|video stitching */ /* column definitions { "Id": " Id of the paper", "Title": "Title of the paper", "Year": "Year of the paper", "ConferenceId": "Conference Id in which paper was published", "JournalId": "Journal Id in which paper was published", "Keyword": "Keywords of the paper " }*/ CREATE TABLE PaperAuthor ( PaperId INTEGER, AuthorId INTEGER, Name TEXT, Affiliation TEXT, foreign key (PaperId) references Paper(Id), foreign key (AuthorId) references Author(Id) ) /* 1 example row: SELECT * FROM paperauthor LIMIT 1; PaperId ||AuthorId || Name ||Affiliation 4 || 1456512 ||ADAM G. JONES || None */ /* column definitions { "PaperId": " Paper Id", "AuthorId": "Author Id", "Name": "Author Name (as written on paper)", "Affiliation": "Author Affiliation (as written on paper)" }*/ ### Question Provide the average number of papers that are published in the journal named 'Information Sciences' annually. Clarification: 'Information Sciences' is the FullName of journal; average = DIVIDE(COUNT(JournalId = 48), COUNT(Years))
[query_database(**{'query': 'SELECT CAST(COUNT(T2.JournalId) AS REAL) / COUNT(DISTINCT T2.Year) FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T1.FullName = 'Information Sciences''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Author" ( Id INTEGER constraint Author_pk primary key, Name TEXT, Affiliation TEXT ) /* 1 example row: SELECT * FROM author LIMIT 1; Id || Name ||Affiliation 9 ||Ernest Jordan || None */ /* column definitions { "Id": "Id of the author", "Name": "Author Name", "Affiliation": "Organization name with which the author is affiliated. " }*/ CREATE TABLE "Conference" ( Id INTEGER constraint Conference_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM conference LIMIT 1; Id ||ShortName || FullName ||HomePage 1 || IADIS ||International Association for Development of the Information Society || */ /* column definitions { "Id": "Conference Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of conference" }*/ CREATE TABLE "Journal" ( Id INTEGER constraint Journal_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM journal LIMIT 1; Id ||ShortName || FullName || HomePage 1 || ICOM ||Zeitschrift Für Interaktive Und Kooperative Medien ||http://www.i-com-media.de */ /* column definitions { "Id": "Journal Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of journal" }*/ CREATE TABLE Paper ( Id INTEGER primary key, Title TEXT, Year INTEGER, ConferenceId INTEGER, JournalId INTEGER, Keyword TEXT, foreign key (ConferenceId) references Conference(Id), foreign key (JournalId) references Journal(Id) ) /* 1 example row: SELECT * FROM paper LIMIT 1; Id || Title ||Year ||ConferenceId ||JournalId || Keyword 1 ||Stitching videos streamed by mobile phones in real-time ||2009 || 167 || 0 ||mobile video capturing|real-time|video stitching */ /* column definitions { "Id": " Id of the paper", "Title": "Title of the paper", "Year": "Year of the paper", "ConferenceId": "Conference Id in which paper was published", "JournalId": "Journal Id in which paper was published", "Keyword": "Keywords of the paper " }*/ CREATE TABLE PaperAuthor ( PaperId INTEGER, AuthorId INTEGER, Name TEXT, Affiliation TEXT, foreign key (PaperId) references Paper(Id), foreign key (AuthorId) references Author(Id) ) /* 1 example row: SELECT * FROM paperauthor LIMIT 1; PaperId ||AuthorId || Name ||Affiliation 4 || 1456512 ||ADAM G. JONES || None */ /* column definitions { "PaperId": " Paper Id", "AuthorId": "Author Id", "Name": "Author Name (as written on paper)", "Affiliation": "Author Affiliation (as written on paper)" }*/
3,675
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Author" ( Id INTEGER constraint Author_pk primary key, Name TEXT, Affiliation TEXT ) /* 1 example row: SELECT * FROM author LIMIT 1; Id || Name ||Affiliation 9 ||Ernest Jordan || None */ /* column definitions { "Id": "Id of the author", "Name": "Author Name", "Affiliation": "Organization name with which the author is affiliated. " }*/ CREATE TABLE "Conference" ( Id INTEGER constraint Conference_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM conference LIMIT 1; Id ||ShortName || FullName ||HomePage 1 || IADIS ||International Association for Development of the Information Society || */ /* column definitions { "Id": "Conference Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of conference" }*/ CREATE TABLE "Journal" ( Id INTEGER constraint Journal_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM journal LIMIT 1; Id ||ShortName || FullName || HomePage 1 || ICOM ||Zeitschrift Für Interaktive Und Kooperative Medien ||http://www.i-com-media.de */ /* column definitions { "Id": "Journal Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of journal" }*/ CREATE TABLE Paper ( Id INTEGER primary key, Title TEXT, Year INTEGER, ConferenceId INTEGER, JournalId INTEGER, Keyword TEXT, foreign key (ConferenceId) references Conference(Id), foreign key (JournalId) references Journal(Id) ) /* 1 example row: SELECT * FROM paper LIMIT 1; Id || Title ||Year ||ConferenceId ||JournalId || Keyword 1 ||Stitching videos streamed by mobile phones in real-time ||2009 || 167 || 0 ||mobile video capturing|real-time|video stitching */ /* column definitions { "Id": " Id of the paper", "Title": "Title of the paper", "Year": "Year of the paper", "ConferenceId": "Conference Id in which paper was published", "JournalId": "Journal Id in which paper was published", "Keyword": "Keywords of the paper " }*/ CREATE TABLE PaperAuthor ( PaperId INTEGER, AuthorId INTEGER, Name TEXT, Affiliation TEXT, foreign key (PaperId) references Paper(Id), foreign key (AuthorId) references Author(Id) ) /* 1 example row: SELECT * FROM paperauthor LIMIT 1; PaperId ||AuthorId || Name ||Affiliation 4 || 1456512 ||ADAM G. JONES || None */ /* column definitions { "PaperId": " Paper Id", "AuthorId": "Author Id", "Name": "Author Name (as written on paper)", "Affiliation": "Author Affiliation (as written on paper)" }*/ ### Question List out the full name and URL link of ICCI? Clarification: 'ICCI' is the ShortName of conference; URL refer to HomePage
[query_database(**{'query': 'SELECT FullName, HomePage FROM Conference WHERE ShortName = 'ICCI''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Author" ( Id INTEGER constraint Author_pk primary key, Name TEXT, Affiliation TEXT ) /* 1 example row: SELECT * FROM author LIMIT 1; Id || Name ||Affiliation 9 ||Ernest Jordan || None */ /* column definitions { "Id": "Id of the author", "Name": "Author Name", "Affiliation": "Organization name with which the author is affiliated. " }*/ CREATE TABLE "Conference" ( Id INTEGER constraint Conference_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM conference LIMIT 1; Id ||ShortName || FullName ||HomePage 1 || IADIS ||International Association for Development of the Information Society || */ /* column definitions { "Id": "Conference Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of conference" }*/ CREATE TABLE "Journal" ( Id INTEGER constraint Journal_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM journal LIMIT 1; Id ||ShortName || FullName || HomePage 1 || ICOM ||Zeitschrift Für Interaktive Und Kooperative Medien ||http://www.i-com-media.de */ /* column definitions { "Id": "Journal Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of journal" }*/ CREATE TABLE Paper ( Id INTEGER primary key, Title TEXT, Year INTEGER, ConferenceId INTEGER, JournalId INTEGER, Keyword TEXT, foreign key (ConferenceId) references Conference(Id), foreign key (JournalId) references Journal(Id) ) /* 1 example row: SELECT * FROM paper LIMIT 1; Id || Title ||Year ||ConferenceId ||JournalId || Keyword 1 ||Stitching videos streamed by mobile phones in real-time ||2009 || 167 || 0 ||mobile video capturing|real-time|video stitching */ /* column definitions { "Id": " Id of the paper", "Title": "Title of the paper", "Year": "Year of the paper", "ConferenceId": "Conference Id in which paper was published", "JournalId": "Journal Id in which paper was published", "Keyword": "Keywords of the paper " }*/ CREATE TABLE PaperAuthor ( PaperId INTEGER, AuthorId INTEGER, Name TEXT, Affiliation TEXT, foreign key (PaperId) references Paper(Id), foreign key (AuthorId) references Author(Id) ) /* 1 example row: SELECT * FROM paperauthor LIMIT 1; PaperId ||AuthorId || Name ||Affiliation 4 || 1456512 ||ADAM G. JONES || None */ /* column definitions { "PaperId": " Paper Id", "AuthorId": "Author Id", "Name": "Author Name (as written on paper)", "Affiliation": "Author Affiliation (as written on paper)" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Author" ( Id INTEGER constraint Author_pk primary key, Name TEXT, Affiliation TEXT ) /* 1 example row: SELECT * FROM author LIMIT 1; Id || Name ||Affiliation 9 ||Ernest Jordan || None */ /* column definitions { "Id": "Id of the author", "Name": "Author Name", "Affiliation": "Organization name with which the author is affiliated. " }*/ CREATE TABLE "Conference" ( Id INTEGER constraint Conference_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM conference LIMIT 1; Id ||ShortName || FullName ||HomePage 1 || IADIS ||International Association for Development of the Information Society || */ /* column definitions { "Id": "Conference Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of conference" }*/ CREATE TABLE "Journal" ( Id INTEGER constraint Journal_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM journal LIMIT 1; Id ||ShortName || FullName || HomePage 1 || ICOM ||Zeitschrift Für Interaktive Und Kooperative Medien ||http://www.i-com-media.de */ /* column definitions { "Id": "Journal Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of journal" }*/ CREATE TABLE Paper ( Id INTEGER primary key, Title TEXT, Year INTEGER, ConferenceId INTEGER, JournalId INTEGER, Keyword TEXT, foreign key (ConferenceId) references Conference(Id), foreign key (JournalId) references Journal(Id) ) /* 1 example row: SELECT * FROM paper LIMIT 1; Id || Title ||Year ||ConferenceId ||JournalId || Keyword 1 ||Stitching videos streamed by mobile phones in real-time ||2009 || 167 || 0 ||mobile video capturing|real-time|video stitching */ /* column definitions { "Id": " Id of the paper", "Title": "Title of the paper", "Year": "Year of the paper", "ConferenceId": "Conference Id in which paper was published", "JournalId": "Journal Id in which paper was published", "Keyword": "Keywords of the paper " }*/ CREATE TABLE PaperAuthor ( PaperId INTEGER, AuthorId INTEGER, Name TEXT, Affiliation TEXT, foreign key (PaperId) references Paper(Id), foreign key (AuthorId) references Author(Id) ) /* 1 example row: SELECT * FROM paperauthor LIMIT 1; PaperId ||AuthorId || Name ||Affiliation 4 || 1456512 ||ADAM G. JONES || None */ /* column definitions { "PaperId": " Paper Id", "AuthorId": "Author Id", "Name": "Author Name (as written on paper)", "Affiliation": "Author Affiliation (as written on paper)" }*/ ### Question Sate the author name and published year for paper id 2? Clarification: published year refers to year
[query_database(**{'query': 'SELECT T1.Name, T3.Year FROM Author AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.AuthorId INNER JOIN Paper AS T3 ON T2.PaperId = T3.Id WHERE T2.PaperId = 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 "Author" ( Id INTEGER constraint Author_pk primary key, Name TEXT, Affiliation TEXT ) /* 1 example row: SELECT * FROM author LIMIT 1; Id || Name ||Affiliation 9 ||Ernest Jordan || None */ /* column definitions { "Id": "Id of the author", "Name": "Author Name", "Affiliation": "Organization name with which the author is affiliated. " }*/ CREATE TABLE "Conference" ( Id INTEGER constraint Conference_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM conference LIMIT 1; Id ||ShortName || FullName ||HomePage 1 || IADIS ||International Association for Development of the Information Society || */ /* column definitions { "Id": "Conference Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of conference" }*/ CREATE TABLE "Journal" ( Id INTEGER constraint Journal_pk primary key, ShortName TEXT, FullName TEXT, HomePage TEXT ) /* 1 example row: SELECT * FROM journal LIMIT 1; Id ||ShortName || FullName || HomePage 1 || ICOM ||Zeitschrift Für Interaktive Und Kooperative Medien ||http://www.i-com-media.de */ /* column definitions { "Id": "Journal Id", "ShortName": "Short name", "FullName": "Full name", "HomePage": "Homepage URL of journal" }*/ CREATE TABLE Paper ( Id INTEGER primary key, Title TEXT, Year INTEGER, ConferenceId INTEGER, JournalId INTEGER, Keyword TEXT, foreign key (ConferenceId) references Conference(Id), foreign key (JournalId) references Journal(Id) ) /* 1 example row: SELECT * FROM paper LIMIT 1; Id || Title ||Year ||ConferenceId ||JournalId || Keyword 1 ||Stitching videos streamed by mobile phones in real-time ||2009 || 167 || 0 ||mobile video capturing|real-time|video stitching */ /* column definitions { "Id": " Id of the paper", "Title": "Title of the paper", "Year": "Year of the paper", "ConferenceId": "Conference Id in which paper was published", "JournalId": "Journal Id in which paper was published", "Keyword": "Keywords of the paper " }*/ CREATE TABLE PaperAuthor ( PaperId INTEGER, AuthorId INTEGER, Name TEXT, Affiliation TEXT, foreign key (PaperId) references Paper(Id), foreign key (AuthorId) references Author(Id) ) /* 1 example row: SELECT * FROM paperauthor LIMIT 1; PaperId ||AuthorId || Name ||Affiliation 4 || 1456512 ||ADAM G. JONES || None */ /* column definitions { "PaperId": " Paper Id", "AuthorId": "Author Id", "Name": "Author Name (as written on paper)", "Affiliation": "Author Affiliation (as written on paper)" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE institution_details ( unitid INTEGER constraint institution_details_pk primary key, chronname TEXT, city TEXT, state TEXT, level TEXT, control TEXT, basic TEXT, hbcu TEXT, flagship TEXT, long_x REAL, lat_y REAL, site TEXT, student_count INTEGER, awards_per_value REAL, awards_per_state_value REAL, awards_per_natl_value REAL, exp_award_value INTEGER, exp_award_state_value INTEGER, exp_award_natl_value INTEGER, exp_award_percentile INTEGER, ft_pct REAL, fte_value INTEGER, fte_percentile INTEGER, med_sat_value TEXT, med_sat_percentile TEXT, aid_value INTEGER, aid_percentile INTEGER, endow_value TEXT, endow_percentile TEXT, grad_100_value REAL, grad_100_percentile INTEGER, grad_150_value REAL, grad_150_percentile INTEGER, pell_value REAL, pell_percentile INTEGER, retain_value REAL, retain_percentile INTEGER, ft_fac_value REAL, ft_fac_percentile INTEGER, vsa_year TEXT, vsa_grad_after4_first TEXT, vsa_grad_elsewhere_after4_first TEXT, vsa_enroll_after4_first TEXT, vsa_enroll_elsewhere_after4_first TEXT, vsa_grad_after6_first TEXT, vsa_grad_elsewhere_after6_first TEXT, vsa_enroll_after6_first TEXT, vsa_enroll_elsewhere_after6_first TEXT, vsa_grad_after4_transfer TEXT, vsa_grad_elsewhere_after4_transfer TEXT, vsa_enroll_after4_transfer TEXT, vsa_enroll_elsewhere_after4_transfer TEXT, vsa_grad_after6_transfer TEXT, vsa_grad_elsewhere_after6_transfer TEXT, vsa_enroll_after6_transfer TEXT, vsa_enroll_elsewhere_after6_transfer TEXT, similar TEXT, state_sector_ct INTEGER, carnegie_ct INTEGER, counted_pct TEXT, nicknames TEXT, cohort_size INTEGER ) /* 1 example row: SELECT * FROM institution_details LIMIT 1; unitid || chronname || city || state || level ||control || basic ||hbcu ||flagship || long_x || lat_y || site ||student_count ||awards_per_value ||awards_per_state_value ||awards_per_natl_value ||exp_award_value ||exp_award_state_value ||exp_award_natl_value ||exp_award_percentile ||ft_pct ||fte_value ||fte_percentile ||med_sat_value ||med_sat_percentile ||aid_value ||aid_percentile ||endow_value ||endow_percentile ||grad_100_value ||grad_100_percentile ||grad_150_value ||grad_150_percentile ||pell_value ||pell_percentile ||retain_value ||retain_percentile ||ft_fac_value ||ft_fac_percentile ||vsa_year ||vsa_grad_after4_first ||vsa_grad_elsewhere_after4_first ||vsa_enroll_after4_first ||vsa_enroll_elsewhere_after4_first ||vsa_grad_after6_first ||vsa_grad_elsewhere_after6_first ||vsa_enroll_after6_first ||vsa_enroll_elsewhere_after6_first ||vsa_grad_after4_transfer ||vsa_grad_elsewhere_after4_transfer ||vsa_enroll_after4_transfer ||vsa_enroll_elsewhere_after4_transfer ||vsa_grad_after6_transfer ||vsa_grad_elsewhere_after6_transfer ||vsa_enroll_after6_transfer ||vsa_enroll_elsewhere_after6_transfer || similar ||state_sector_ct ||carnegie_ct ||counted_pct ||nicknames ||cohort_size 100654 ||Alabama A&M University ||Normal ||Alabama ||4-year || Public ||Masters Colleges and Universities--larger programs || X || NULL ||-86.568502 ||34.783368 ||www.aamu.edu/ || 4051 || 14.2 || 18.8 || 21.5 || 105331 || 75743 || 66436 || 90 || 93.8 || 3906 || 33 || 823 || 0 || 7142 || 72 || NULL || NULL || 10.0 || 15 || 29.1 || 14 || 71.2 || 98 || 63.1 || 17 || 82.8 || 89 || 2010 || 14.7 || 2 || 36.5 || 16.1 || 33 || 5.3 || 12.5 || 14.6 || 15.7 || 1.5 || 40.9 || 17.2 || 36.4 || 5.6 || 17.2 || 11.1 ||232937|100724|405997|113607|139533|144005|228501|101480|131876|144759|419509|176479|243197|228529|372222|228431|206695|139366|159993|224147 || 13 || 386 || 99.7|07 || NULL || 882 */ /* column definitions { "unitid": "unique Education Unit ID number", "chronname": "Institution name", "city": "Institution city", "state": "Institution state", "level": "Level of institution", "control": "Control of institution", "basic": "Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version)", "hbcu": "Denotes Historically Black College and Universities", "flagship": "Denotes Public flagship institutions", "long_x": "Institution longitude", "lat_y": "Institution latitude", "site": "Institution Web site address", "student_count": "Total number of undergraduates in 2010", "awards_per_value": "Completions per 100 FTE (full-time equivalency) undergraduate students (average 2011, 2012, and 2013)", "awards_per_state_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, national sector average", "exp_award_value": "Estimated educational spending per academic award in 2013. Includes all certificates and degrees", "exp_award_state_value": "Spending per completion, state and sector average", "exp_award_natl_value": "Spending per completion, national sector average", "exp_award_percentile": "", "ft_pct": "Percentage of undergraduates who attend full-time", "fte_value": "total number of full-time equivalent undergraduates", "fte_percentile": "", "med_sat_value": "Median estimated SAT value for incoming students", "med_sat_percentile": "Institution's percent rank for median SAT value within sector", "aid_value": "The average amount of student aid going to undergraduate recipients", "aid_percentile": "Institution's percent rank for average amount of student aid going to undergraduate recipients within sector", "endow_value": "End-of-year endowment value per full-time equivalent student", "endow_percentile": "Institution's percent rank for endowment value per full-time equivalent student within sector", "grad_100_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_100_percentile": "Institution's percent rank for completers within 100 percent of normal time within sector", "grad_150_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_150_percentile": "Institution's percent rank for completers within 150 percent of normal time within sector", "pell_value": "percentage of undergraduates receiving a Pell Grant", "pell_percentile": "Institution's percent rank for undergraduate Pell recipients within sector", "retain_value": "share of freshman students retained for a second year", "retain_percentile": "Institution's percent rank for freshman retention percentage within sector", "ft_fac_value": "Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school", "ft_fac_percentile": "Institution's percent rank for full-time faculty share within sector ", "vsa_year": "Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability", "vsa_grad_after4_first": "First-time, full-time students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_first": "First-time, full-time students who graduated from another institution within four years", "vsa_enroll_after4_first": "First-time, full-time students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_first": "First-time, full-time students who are enrolled at another institution after four years", "vsa_grad_after6_first": "First-time, full-time students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_first": "First-time, full-time students who graduated from another institution within six years", "vsa_enroll_after6_first": "First-time, full-time students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_first": "First-time, full-time students who are enrolled at another institution after six years", "vsa_grad_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_enroll_after4_transfer": "Full-time transfer students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_transfer": "Full-time transfer students who are enrolled at another institution after four years", "vsa_grad_after6_transfer": "Full-time transfer students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_transfer": "Full-time transfer students who graduated from another institution within six years", "vsa_enroll_after6_transfer": "Full-time transfer students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_transfer": "Full-time transfer students who are enrolled at another institution after six years", "similar": "", "state_sector_ct": "", "carnegie_ct": "", "counted_pct": "", "nicknames": "", "cohort_size": "" }*/ CREATE TABLE institution_grads ( unitid INTEGER, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, foreign key (unitid) references institution_details(unitid) ) /* 1 example row: SELECT * FROM institution_grads LIMIT 1; unitid ||year ||gender ||race ||cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate 100760 ||2011 || B || X ||2y all || 446 || 73 || 105 || 16.4 || 23.5 */ /* column definitions { "unitid": "Education Unit ID number", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time" }*/ CREATE TABLE state_sector_grads ( stateid INTEGER, state TEXT, state_abbr TEXT, control TEXT, level TEXT, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, grad_cohort_ct INTEGER, foreign key (state) references institution_details(state), foreign key (stateid) references state_sector_details(stateid) ) /* 1 example row: SELECT * FROM state_sector_grads LIMIT 1; stateid || state ||state_abbr || control || level ||year ||gender ||race || cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate ||grad_cohort_ct 1 ||Alabama || AL ||Private for-profit ||4-year ||2011 || B || A ||4y bach || 0 || 0 || 0 || NULL || NULL || 9 */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_abbr": "", "control": "", "level": "Level of institution", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time", "grad_cohort_ct": "Number of institutions with data included in the cohort" }*/ CREATE TABLE "state_sector_details" ( stateid INTEGER, state TEXT references institution_details (state), state_post TEXT, level TEXT, control TEXT, schools_count INTEGER, counted_pct TEXT, awards_per_state_value TEXT, awards_per_natl_value REAL, exp_award_state_value TEXT, exp_award_natl_value INTEGER, state_appr_value TEXT, state_appr_rank TEXT, grad_rate_rank TEXT, awards_per_rank TEXT, primary key (stateid, level, control) ) /* 1 example row: SELECT * FROM state_sector_details LIMIT 1; stateid || state ||state_post || level ||control ||schools_count ||counted_pct ||awards_per_state_value ||awards_per_natl_value ||exp_award_state_value ||exp_award_natl_value ||state_appr_value ||state_appr_rank ||grad_rate_rank ||awards_per_rank 0 ||United States || U.S. ||4-year || Public || 632 || NULL || NULL || 21.5 || NULL || 66436 || NULL || NULL || 23 || NULL */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_post": "", "level": "Level of institution", "control": "", "schools_count": "", "counted_pct": "Percentage of students in the entering class (Fall 2007 at 4-year institutions, Fall 2010 at 2-year institutions) who are first-time, full-time, degree-seeking students and generally part of the official graduation rate", "awards_per_state_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, national sector average", "exp_award_state_value": "Spending per completion, state and sector average ", "exp_award_natl_value": "Spending per completion, national sector average", "state_appr_value": "State appropriations to higher education in fiscal year 2011 per resident", "state_appr_rank": "", "grad_rate_rank": "", "awards_per_rank": "" }*/ ### Question State the name and website of the institutes from the state with 209 graduate cohort in 2011. Clarification: name of the institutes refers to chronname; website refers to site; graduate cohort refers to grad_cohort; in 2011 refers to year = '2011';
[query_database(**{'query': 'SELECT T1.chronname, T1.site FROM institution_details AS T1 INNER JOIN state_sector_grads AS T2 ON T1.state = T2.state WHERE T2.year = 2011 AND T2.grad_cohort = 209'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE institution_details ( unitid INTEGER constraint institution_details_pk primary key, chronname TEXT, city TEXT, state TEXT, level TEXT, control TEXT, basic TEXT, hbcu TEXT, flagship TEXT, long_x REAL, lat_y REAL, site TEXT, student_count INTEGER, awards_per_value REAL, awards_per_state_value REAL, awards_per_natl_value REAL, exp_award_value INTEGER, exp_award_state_value INTEGER, exp_award_natl_value INTEGER, exp_award_percentile INTEGER, ft_pct REAL, fte_value INTEGER, fte_percentile INTEGER, med_sat_value TEXT, med_sat_percentile TEXT, aid_value INTEGER, aid_percentile INTEGER, endow_value TEXT, endow_percentile TEXT, grad_100_value REAL, grad_100_percentile INTEGER, grad_150_value REAL, grad_150_percentile INTEGER, pell_value REAL, pell_percentile INTEGER, retain_value REAL, retain_percentile INTEGER, ft_fac_value REAL, ft_fac_percentile INTEGER, vsa_year TEXT, vsa_grad_after4_first TEXT, vsa_grad_elsewhere_after4_first TEXT, vsa_enroll_after4_first TEXT, vsa_enroll_elsewhere_after4_first TEXT, vsa_grad_after6_first TEXT, vsa_grad_elsewhere_after6_first TEXT, vsa_enroll_after6_first TEXT, vsa_enroll_elsewhere_after6_first TEXT, vsa_grad_after4_transfer TEXT, vsa_grad_elsewhere_after4_transfer TEXT, vsa_enroll_after4_transfer TEXT, vsa_enroll_elsewhere_after4_transfer TEXT, vsa_grad_after6_transfer TEXT, vsa_grad_elsewhere_after6_transfer TEXT, vsa_enroll_after6_transfer TEXT, vsa_enroll_elsewhere_after6_transfer TEXT, similar TEXT, state_sector_ct INTEGER, carnegie_ct INTEGER, counted_pct TEXT, nicknames TEXT, cohort_size INTEGER ) /* 1 example row: SELECT * FROM institution_details LIMIT 1; unitid || chronname || city || state || level ||control || basic ||hbcu ||flagship || long_x || lat_y || site ||student_count ||awards_per_value ||awards_per_state_value ||awards_per_natl_value ||exp_award_value ||exp_award_state_value ||exp_award_natl_value ||exp_award_percentile ||ft_pct ||fte_value ||fte_percentile ||med_sat_value ||med_sat_percentile ||aid_value ||aid_percentile ||endow_value ||endow_percentile ||grad_100_value ||grad_100_percentile ||grad_150_value ||grad_150_percentile ||pell_value ||pell_percentile ||retain_value ||retain_percentile ||ft_fac_value ||ft_fac_percentile ||vsa_year ||vsa_grad_after4_first ||vsa_grad_elsewhere_after4_first ||vsa_enroll_after4_first ||vsa_enroll_elsewhere_after4_first ||vsa_grad_after6_first ||vsa_grad_elsewhere_after6_first ||vsa_enroll_after6_first ||vsa_enroll_elsewhere_after6_first ||vsa_grad_after4_transfer ||vsa_grad_elsewhere_after4_transfer ||vsa_enroll_after4_transfer ||vsa_enroll_elsewhere_after4_transfer ||vsa_grad_after6_transfer ||vsa_grad_elsewhere_after6_transfer ||vsa_enroll_after6_transfer ||vsa_enroll_elsewhere_after6_transfer || similar ||state_sector_ct ||carnegie_ct ||counted_pct ||nicknames ||cohort_size 100654 ||Alabama A&M University ||Normal ||Alabama ||4-year || Public ||Masters Colleges and Universities--larger programs || X || NULL ||-86.568502 ||34.783368 ||www.aamu.edu/ || 4051 || 14.2 || 18.8 || 21.5 || 105331 || 75743 || 66436 || 90 || 93.8 || 3906 || 33 || 823 || 0 || 7142 || 72 || NULL || NULL || 10.0 || 15 || 29.1 || 14 || 71.2 || 98 || 63.1 || 17 || 82.8 || 89 || 2010 || 14.7 || 2 || 36.5 || 16.1 || 33 || 5.3 || 12.5 || 14.6 || 15.7 || 1.5 || 40.9 || 17.2 || 36.4 || 5.6 || 17.2 || 11.1 ||232937|100724|405997|113607|139533|144005|228501|101480|131876|144759|419509|176479|243197|228529|372222|228431|206695|139366|159993|224147 || 13 || 386 || 99.7|07 || NULL || 882 */ /* column definitions { "unitid": "unique Education Unit ID number", "chronname": "Institution name", "city": "Institution city", "state": "Institution state", "level": "Level of institution", "control": "Control of institution", "basic": "Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version)", "hbcu": "Denotes Historically Black College and Universities", "flagship": "Denotes Public flagship institutions", "long_x": "Institution longitude", "lat_y": "Institution latitude", "site": "Institution Web site address", "student_count": "Total number of undergraduates in 2010", "awards_per_value": "Completions per 100 FTE (full-time equivalency) undergraduate students (average 2011, 2012, and 2013)", "awards_per_state_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, national sector average", "exp_award_value": "Estimated educational spending per academic award in 2013. Includes all certificates and degrees", "exp_award_state_value": "Spending per completion, state and sector average", "exp_award_natl_value": "Spending per completion, national sector average", "exp_award_percentile": "", "ft_pct": "Percentage of undergraduates who attend full-time", "fte_value": "total number of full-time equivalent undergraduates", "fte_percentile": "", "med_sat_value": "Median estimated SAT value for incoming students", "med_sat_percentile": "Institution's percent rank for median SAT value within sector", "aid_value": "The average amount of student aid going to undergraduate recipients", "aid_percentile": "Institution's percent rank for average amount of student aid going to undergraduate recipients within sector", "endow_value": "End-of-year endowment value per full-time equivalent student", "endow_percentile": "Institution's percent rank for endowment value per full-time equivalent student within sector", "grad_100_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_100_percentile": "Institution's percent rank for completers within 100 percent of normal time within sector", "grad_150_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_150_percentile": "Institution's percent rank for completers within 150 percent of normal time within sector", "pell_value": "percentage of undergraduates receiving a Pell Grant", "pell_percentile": "Institution's percent rank for undergraduate Pell recipients within sector", "retain_value": "share of freshman students retained for a second year", "retain_percentile": "Institution's percent rank for freshman retention percentage within sector", "ft_fac_value": "Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school", "ft_fac_percentile": "Institution's percent rank for full-time faculty share within sector ", "vsa_year": "Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability", "vsa_grad_after4_first": "First-time, full-time students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_first": "First-time, full-time students who graduated from another institution within four years", "vsa_enroll_after4_first": "First-time, full-time students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_first": "First-time, full-time students who are enrolled at another institution after four years", "vsa_grad_after6_first": "First-time, full-time students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_first": "First-time, full-time students who graduated from another institution within six years", "vsa_enroll_after6_first": "First-time, full-time students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_first": "First-time, full-time students who are enrolled at another institution after six years", "vsa_grad_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_enroll_after4_transfer": "Full-time transfer students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_transfer": "Full-time transfer students who are enrolled at another institution after four years", "vsa_grad_after6_transfer": "Full-time transfer students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_transfer": "Full-time transfer students who graduated from another institution within six years", "vsa_enroll_after6_transfer": "Full-time transfer students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_transfer": "Full-time transfer students who are enrolled at another institution after six years", "similar": "", "state_sector_ct": "", "carnegie_ct": "", "counted_pct": "", "nicknames": "", "cohort_size": "" }*/ CREATE TABLE institution_grads ( unitid INTEGER, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, foreign key (unitid) references institution_details(unitid) ) /* 1 example row: SELECT * FROM institution_grads LIMIT 1; unitid ||year ||gender ||race ||cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate 100760 ||2011 || B || X ||2y all || 446 || 73 || 105 || 16.4 || 23.5 */ /* column definitions { "unitid": "Education Unit ID number", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time" }*/ CREATE TABLE state_sector_grads ( stateid INTEGER, state TEXT, state_abbr TEXT, control TEXT, level TEXT, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, grad_cohort_ct INTEGER, foreign key (state) references institution_details(state), foreign key (stateid) references state_sector_details(stateid) ) /* 1 example row: SELECT * FROM state_sector_grads LIMIT 1; stateid || state ||state_abbr || control || level ||year ||gender ||race || cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate ||grad_cohort_ct 1 ||Alabama || AL ||Private for-profit ||4-year ||2011 || B || A ||4y bach || 0 || 0 || 0 || NULL || NULL || 9 */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_abbr": "", "control": "", "level": "Level of institution", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time", "grad_cohort_ct": "Number of institutions with data included in the cohort" }*/ CREATE TABLE "state_sector_details" ( stateid INTEGER, state TEXT references institution_details (state), state_post TEXT, level TEXT, control TEXT, schools_count INTEGER, counted_pct TEXT, awards_per_state_value TEXT, awards_per_natl_value REAL, exp_award_state_value TEXT, exp_award_natl_value INTEGER, state_appr_value TEXT, state_appr_rank TEXT, grad_rate_rank TEXT, awards_per_rank TEXT, primary key (stateid, level, control) ) /* 1 example row: SELECT * FROM state_sector_details LIMIT 1; stateid || state ||state_post || level ||control ||schools_count ||counted_pct ||awards_per_state_value ||awards_per_natl_value ||exp_award_state_value ||exp_award_natl_value ||state_appr_value ||state_appr_rank ||grad_rate_rank ||awards_per_rank 0 ||United States || U.S. ||4-year || Public || 632 || NULL || NULL || 21.5 || NULL || 66436 || NULL || NULL || 23 || NULL */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_post": "", "level": "Level of institution", "control": "", "schools_count": "", "counted_pct": "Percentage of students in the entering class (Fall 2007 at 4-year institutions, Fall 2010 at 2-year institutions) who are first-time, full-time, degree-seeking students and generally part of the official graduation rate", "awards_per_state_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, national sector average", "exp_award_state_value": "Spending per completion, state and sector average ", "exp_award_natl_value": "Spending per completion, national sector average", "state_appr_value": "State appropriations to higher education in fiscal year 2011 per resident", "state_appr_rank": "", "grad_rate_rank": "", "awards_per_rank": "" }*/
3,687
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE institution_details ( unitid INTEGER constraint institution_details_pk primary key, chronname TEXT, city TEXT, state TEXT, level TEXT, control TEXT, basic TEXT, hbcu TEXT, flagship TEXT, long_x REAL, lat_y REAL, site TEXT, student_count INTEGER, awards_per_value REAL, awards_per_state_value REAL, awards_per_natl_value REAL, exp_award_value INTEGER, exp_award_state_value INTEGER, exp_award_natl_value INTEGER, exp_award_percentile INTEGER, ft_pct REAL, fte_value INTEGER, fte_percentile INTEGER, med_sat_value TEXT, med_sat_percentile TEXT, aid_value INTEGER, aid_percentile INTEGER, endow_value TEXT, endow_percentile TEXT, grad_100_value REAL, grad_100_percentile INTEGER, grad_150_value REAL, grad_150_percentile INTEGER, pell_value REAL, pell_percentile INTEGER, retain_value REAL, retain_percentile INTEGER, ft_fac_value REAL, ft_fac_percentile INTEGER, vsa_year TEXT, vsa_grad_after4_first TEXT, vsa_grad_elsewhere_after4_first TEXT, vsa_enroll_after4_first TEXT, vsa_enroll_elsewhere_after4_first TEXT, vsa_grad_after6_first TEXT, vsa_grad_elsewhere_after6_first TEXT, vsa_enroll_after6_first TEXT, vsa_enroll_elsewhere_after6_first TEXT, vsa_grad_after4_transfer TEXT, vsa_grad_elsewhere_after4_transfer TEXT, vsa_enroll_after4_transfer TEXT, vsa_enroll_elsewhere_after4_transfer TEXT, vsa_grad_after6_transfer TEXT, vsa_grad_elsewhere_after6_transfer TEXT, vsa_enroll_after6_transfer TEXT, vsa_enroll_elsewhere_after6_transfer TEXT, similar TEXT, state_sector_ct INTEGER, carnegie_ct INTEGER, counted_pct TEXT, nicknames TEXT, cohort_size INTEGER ) /* 1 example row: SELECT * FROM institution_details LIMIT 1; unitid || chronname || city || state || level ||control || basic ||hbcu ||flagship || long_x || lat_y || site ||student_count ||awards_per_value ||awards_per_state_value ||awards_per_natl_value ||exp_award_value ||exp_award_state_value ||exp_award_natl_value ||exp_award_percentile ||ft_pct ||fte_value ||fte_percentile ||med_sat_value ||med_sat_percentile ||aid_value ||aid_percentile ||endow_value ||endow_percentile ||grad_100_value ||grad_100_percentile ||grad_150_value ||grad_150_percentile ||pell_value ||pell_percentile ||retain_value ||retain_percentile ||ft_fac_value ||ft_fac_percentile ||vsa_year ||vsa_grad_after4_first ||vsa_grad_elsewhere_after4_first ||vsa_enroll_after4_first ||vsa_enroll_elsewhere_after4_first ||vsa_grad_after6_first ||vsa_grad_elsewhere_after6_first ||vsa_enroll_after6_first ||vsa_enroll_elsewhere_after6_first ||vsa_grad_after4_transfer ||vsa_grad_elsewhere_after4_transfer ||vsa_enroll_after4_transfer ||vsa_enroll_elsewhere_after4_transfer ||vsa_grad_after6_transfer ||vsa_grad_elsewhere_after6_transfer ||vsa_enroll_after6_transfer ||vsa_enroll_elsewhere_after6_transfer || similar ||state_sector_ct ||carnegie_ct ||counted_pct ||nicknames ||cohort_size 100654 ||Alabama A&M University ||Normal ||Alabama ||4-year || Public ||Masters Colleges and Universities--larger programs || X || NULL ||-86.568502 ||34.783368 ||www.aamu.edu/ || 4051 || 14.2 || 18.8 || 21.5 || 105331 || 75743 || 66436 || 90 || 93.8 || 3906 || 33 || 823 || 0 || 7142 || 72 || NULL || NULL || 10.0 || 15 || 29.1 || 14 || 71.2 || 98 || 63.1 || 17 || 82.8 || 89 || 2010 || 14.7 || 2 || 36.5 || 16.1 || 33 || 5.3 || 12.5 || 14.6 || 15.7 || 1.5 || 40.9 || 17.2 || 36.4 || 5.6 || 17.2 || 11.1 ||232937|100724|405997|113607|139533|144005|228501|101480|131876|144759|419509|176479|243197|228529|372222|228431|206695|139366|159993|224147 || 13 || 386 || 99.7|07 || NULL || 882 */ /* column definitions { "unitid": "unique Education Unit ID number", "chronname": "Institution name", "city": "Institution city", "state": "Institution state", "level": "Level of institution", "control": "Control of institution", "basic": "Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version)", "hbcu": "Denotes Historically Black College and Universities", "flagship": "Denotes Public flagship institutions", "long_x": "Institution longitude", "lat_y": "Institution latitude", "site": "Institution Web site address", "student_count": "Total number of undergraduates in 2010", "awards_per_value": "Completions per 100 FTE (full-time equivalency) undergraduate students (average 2011, 2012, and 2013)", "awards_per_state_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, national sector average", "exp_award_value": "Estimated educational spending per academic award in 2013. Includes all certificates and degrees", "exp_award_state_value": "Spending per completion, state and sector average", "exp_award_natl_value": "Spending per completion, national sector average", "exp_award_percentile": "", "ft_pct": "Percentage of undergraduates who attend full-time", "fte_value": "total number of full-time equivalent undergraduates", "fte_percentile": "", "med_sat_value": "Median estimated SAT value for incoming students", "med_sat_percentile": "Institution's percent rank for median SAT value within sector", "aid_value": "The average amount of student aid going to undergraduate recipients", "aid_percentile": "Institution's percent rank for average amount of student aid going to undergraduate recipients within sector", "endow_value": "End-of-year endowment value per full-time equivalent student", "endow_percentile": "Institution's percent rank for endowment value per full-time equivalent student within sector", "grad_100_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_100_percentile": "Institution's percent rank for completers within 100 percent of normal time within sector", "grad_150_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_150_percentile": "Institution's percent rank for completers within 150 percent of normal time within sector", "pell_value": "percentage of undergraduates receiving a Pell Grant", "pell_percentile": "Institution's percent rank for undergraduate Pell recipients within sector", "retain_value": "share of freshman students retained for a second year", "retain_percentile": "Institution's percent rank for freshman retention percentage within sector", "ft_fac_value": "Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school", "ft_fac_percentile": "Institution's percent rank for full-time faculty share within sector ", "vsa_year": "Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability", "vsa_grad_after4_first": "First-time, full-time students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_first": "First-time, full-time students who graduated from another institution within four years", "vsa_enroll_after4_first": "First-time, full-time students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_first": "First-time, full-time students who are enrolled at another institution after four years", "vsa_grad_after6_first": "First-time, full-time students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_first": "First-time, full-time students who graduated from another institution within six years", "vsa_enroll_after6_first": "First-time, full-time students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_first": "First-time, full-time students who are enrolled at another institution after six years", "vsa_grad_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_enroll_after4_transfer": "Full-time transfer students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_transfer": "Full-time transfer students who are enrolled at another institution after four years", "vsa_grad_after6_transfer": "Full-time transfer students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_transfer": "Full-time transfer students who graduated from another institution within six years", "vsa_enroll_after6_transfer": "Full-time transfer students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_transfer": "Full-time transfer students who are enrolled at another institution after six years", "similar": "", "state_sector_ct": "", "carnegie_ct": "", "counted_pct": "", "nicknames": "", "cohort_size": "" }*/ CREATE TABLE institution_grads ( unitid INTEGER, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, foreign key (unitid) references institution_details(unitid) ) /* 1 example row: SELECT * FROM institution_grads LIMIT 1; unitid ||year ||gender ||race ||cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate 100760 ||2011 || B || X ||2y all || 446 || 73 || 105 || 16.4 || 23.5 */ /* column definitions { "unitid": "Education Unit ID number", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time" }*/ CREATE TABLE state_sector_grads ( stateid INTEGER, state TEXT, state_abbr TEXT, control TEXT, level TEXT, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, grad_cohort_ct INTEGER, foreign key (state) references institution_details(state), foreign key (stateid) references state_sector_details(stateid) ) /* 1 example row: SELECT * FROM state_sector_grads LIMIT 1; stateid || state ||state_abbr || control || level ||year ||gender ||race || cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate ||grad_cohort_ct 1 ||Alabama || AL ||Private for-profit ||4-year ||2011 || B || A ||4y bach || 0 || 0 || 0 || NULL || NULL || 9 */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_abbr": "", "control": "", "level": "Level of institution", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time", "grad_cohort_ct": "Number of institutions with data included in the cohort" }*/ CREATE TABLE "state_sector_details" ( stateid INTEGER, state TEXT references institution_details (state), state_post TEXT, level TEXT, control TEXT, schools_count INTEGER, counted_pct TEXT, awards_per_state_value TEXT, awards_per_natl_value REAL, exp_award_state_value TEXT, exp_award_natl_value INTEGER, state_appr_value TEXT, state_appr_rank TEXT, grad_rate_rank TEXT, awards_per_rank TEXT, primary key (stateid, level, control) ) /* 1 example row: SELECT * FROM state_sector_details LIMIT 1; stateid || state ||state_post || level ||control ||schools_count ||counted_pct ||awards_per_state_value ||awards_per_natl_value ||exp_award_state_value ||exp_award_natl_value ||state_appr_value ||state_appr_rank ||grad_rate_rank ||awards_per_rank 0 ||United States || U.S. ||4-year || Public || 632 || NULL || NULL || 21.5 || NULL || 66436 || NULL || NULL || 23 || NULL */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_post": "", "level": "Level of institution", "control": "", "schools_count": "", "counted_pct": "Percentage of students in the entering class (Fall 2007 at 4-year institutions, Fall 2010 at 2-year institutions) who are first-time, full-time, degree-seeking students and generally part of the official graduation rate", "awards_per_state_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, national sector average", "exp_award_state_value": "Spending per completion, state and sector average ", "exp_award_natl_value": "Spending per completion, national sector average", "state_appr_value": "State appropriations to higher education in fiscal year 2011 per resident", "state_appr_rank": "", "grad_rate_rank": "", "awards_per_rank": "" }*/ ### Question Name the state with the most number of graduate cohort in 2012 from private institute for profit? List all such institutes in the mentioned state. Clarification: most number of graduate cohort refers to MAX(SUM(grad_cohort)); in 2012 refers to year = 2012; private institute for profit refers to control = 'Private for-profit'; institutes refers to chronname;
[query_database(**{'query': 'SELECT T1.state, T1.chronname FROM institution_details AS T1 INNER JOIN state_sector_grads AS T2 ON T1.state = T2.state WHERE T2.year = 2012 AND T1.control = 'Private for-profit' GROUP BY T2.grad_cohort ORDER BY COUNT(T2.grad_cohort) 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 institution_details ( unitid INTEGER constraint institution_details_pk primary key, chronname TEXT, city TEXT, state TEXT, level TEXT, control TEXT, basic TEXT, hbcu TEXT, flagship TEXT, long_x REAL, lat_y REAL, site TEXT, student_count INTEGER, awards_per_value REAL, awards_per_state_value REAL, awards_per_natl_value REAL, exp_award_value INTEGER, exp_award_state_value INTEGER, exp_award_natl_value INTEGER, exp_award_percentile INTEGER, ft_pct REAL, fte_value INTEGER, fte_percentile INTEGER, med_sat_value TEXT, med_sat_percentile TEXT, aid_value INTEGER, aid_percentile INTEGER, endow_value TEXT, endow_percentile TEXT, grad_100_value REAL, grad_100_percentile INTEGER, grad_150_value REAL, grad_150_percentile INTEGER, pell_value REAL, pell_percentile INTEGER, retain_value REAL, retain_percentile INTEGER, ft_fac_value REAL, ft_fac_percentile INTEGER, vsa_year TEXT, vsa_grad_after4_first TEXT, vsa_grad_elsewhere_after4_first TEXT, vsa_enroll_after4_first TEXT, vsa_enroll_elsewhere_after4_first TEXT, vsa_grad_after6_first TEXT, vsa_grad_elsewhere_after6_first TEXT, vsa_enroll_after6_first TEXT, vsa_enroll_elsewhere_after6_first TEXT, vsa_grad_after4_transfer TEXT, vsa_grad_elsewhere_after4_transfer TEXT, vsa_enroll_after4_transfer TEXT, vsa_enroll_elsewhere_after4_transfer TEXT, vsa_grad_after6_transfer TEXT, vsa_grad_elsewhere_after6_transfer TEXT, vsa_enroll_after6_transfer TEXT, vsa_enroll_elsewhere_after6_transfer TEXT, similar TEXT, state_sector_ct INTEGER, carnegie_ct INTEGER, counted_pct TEXT, nicknames TEXT, cohort_size INTEGER ) /* 1 example row: SELECT * FROM institution_details LIMIT 1; unitid || chronname || city || state || level ||control || basic ||hbcu ||flagship || long_x || lat_y || site ||student_count ||awards_per_value ||awards_per_state_value ||awards_per_natl_value ||exp_award_value ||exp_award_state_value ||exp_award_natl_value ||exp_award_percentile ||ft_pct ||fte_value ||fte_percentile ||med_sat_value ||med_sat_percentile ||aid_value ||aid_percentile ||endow_value ||endow_percentile ||grad_100_value ||grad_100_percentile ||grad_150_value ||grad_150_percentile ||pell_value ||pell_percentile ||retain_value ||retain_percentile ||ft_fac_value ||ft_fac_percentile ||vsa_year ||vsa_grad_after4_first ||vsa_grad_elsewhere_after4_first ||vsa_enroll_after4_first ||vsa_enroll_elsewhere_after4_first ||vsa_grad_after6_first ||vsa_grad_elsewhere_after6_first ||vsa_enroll_after6_first ||vsa_enroll_elsewhere_after6_first ||vsa_grad_after4_transfer ||vsa_grad_elsewhere_after4_transfer ||vsa_enroll_after4_transfer ||vsa_enroll_elsewhere_after4_transfer ||vsa_grad_after6_transfer ||vsa_grad_elsewhere_after6_transfer ||vsa_enroll_after6_transfer ||vsa_enroll_elsewhere_after6_transfer || similar ||state_sector_ct ||carnegie_ct ||counted_pct ||nicknames ||cohort_size 100654 ||Alabama A&M University ||Normal ||Alabama ||4-year || Public ||Masters Colleges and Universities--larger programs || X || NULL ||-86.568502 ||34.783368 ||www.aamu.edu/ || 4051 || 14.2 || 18.8 || 21.5 || 105331 || 75743 || 66436 || 90 || 93.8 || 3906 || 33 || 823 || 0 || 7142 || 72 || NULL || NULL || 10.0 || 15 || 29.1 || 14 || 71.2 || 98 || 63.1 || 17 || 82.8 || 89 || 2010 || 14.7 || 2 || 36.5 || 16.1 || 33 || 5.3 || 12.5 || 14.6 || 15.7 || 1.5 || 40.9 || 17.2 || 36.4 || 5.6 || 17.2 || 11.1 ||232937|100724|405997|113607|139533|144005|228501|101480|131876|144759|419509|176479|243197|228529|372222|228431|206695|139366|159993|224147 || 13 || 386 || 99.7|07 || NULL || 882 */ /* column definitions { "unitid": "unique Education Unit ID number", "chronname": "Institution name", "city": "Institution city", "state": "Institution state", "level": "Level of institution", "control": "Control of institution", "basic": "Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version)", "hbcu": "Denotes Historically Black College and Universities", "flagship": "Denotes Public flagship institutions", "long_x": "Institution longitude", "lat_y": "Institution latitude", "site": "Institution Web site address", "student_count": "Total number of undergraduates in 2010", "awards_per_value": "Completions per 100 FTE (full-time equivalency) undergraduate students (average 2011, 2012, and 2013)", "awards_per_state_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, national sector average", "exp_award_value": "Estimated educational spending per academic award in 2013. Includes all certificates and degrees", "exp_award_state_value": "Spending per completion, state and sector average", "exp_award_natl_value": "Spending per completion, national sector average", "exp_award_percentile": "", "ft_pct": "Percentage of undergraduates who attend full-time", "fte_value": "total number of full-time equivalent undergraduates", "fte_percentile": "", "med_sat_value": "Median estimated SAT value for incoming students", "med_sat_percentile": "Institution's percent rank for median SAT value within sector", "aid_value": "The average amount of student aid going to undergraduate recipients", "aid_percentile": "Institution's percent rank for average amount of student aid going to undergraduate recipients within sector", "endow_value": "End-of-year endowment value per full-time equivalent student", "endow_percentile": "Institution's percent rank for endowment value per full-time equivalent student within sector", "grad_100_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_100_percentile": "Institution's percent rank for completers within 100 percent of normal time within sector", "grad_150_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_150_percentile": "Institution's percent rank for completers within 150 percent of normal time within sector", "pell_value": "percentage of undergraduates receiving a Pell Grant", "pell_percentile": "Institution's percent rank for undergraduate Pell recipients within sector", "retain_value": "share of freshman students retained for a second year", "retain_percentile": "Institution's percent rank for freshman retention percentage within sector", "ft_fac_value": "Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school", "ft_fac_percentile": "Institution's percent rank for full-time faculty share within sector ", "vsa_year": "Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability", "vsa_grad_after4_first": "First-time, full-time students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_first": "First-time, full-time students who graduated from another institution within four years", "vsa_enroll_after4_first": "First-time, full-time students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_first": "First-time, full-time students who are enrolled at another institution after four years", "vsa_grad_after6_first": "First-time, full-time students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_first": "First-time, full-time students who graduated from another institution within six years", "vsa_enroll_after6_first": "First-time, full-time students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_first": "First-time, full-time students who are enrolled at another institution after six years", "vsa_grad_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_enroll_after4_transfer": "Full-time transfer students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_transfer": "Full-time transfer students who are enrolled at another institution after four years", "vsa_grad_after6_transfer": "Full-time transfer students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_transfer": "Full-time transfer students who graduated from another institution within six years", "vsa_enroll_after6_transfer": "Full-time transfer students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_transfer": "Full-time transfer students who are enrolled at another institution after six years", "similar": "", "state_sector_ct": "", "carnegie_ct": "", "counted_pct": "", "nicknames": "", "cohort_size": "" }*/ CREATE TABLE institution_grads ( unitid INTEGER, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, foreign key (unitid) references institution_details(unitid) ) /* 1 example row: SELECT * FROM institution_grads LIMIT 1; unitid ||year ||gender ||race ||cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate 100760 ||2011 || B || X ||2y all || 446 || 73 || 105 || 16.4 || 23.5 */ /* column definitions { "unitid": "Education Unit ID number", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time" }*/ CREATE TABLE state_sector_grads ( stateid INTEGER, state TEXT, state_abbr TEXT, control TEXT, level TEXT, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, grad_cohort_ct INTEGER, foreign key (state) references institution_details(state), foreign key (stateid) references state_sector_details(stateid) ) /* 1 example row: SELECT * FROM state_sector_grads LIMIT 1; stateid || state ||state_abbr || control || level ||year ||gender ||race || cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate ||grad_cohort_ct 1 ||Alabama || AL ||Private for-profit ||4-year ||2011 || B || A ||4y bach || 0 || 0 || 0 || NULL || NULL || 9 */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_abbr": "", "control": "", "level": "Level of institution", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time", "grad_cohort_ct": "Number of institutions with data included in the cohort" }*/ CREATE TABLE "state_sector_details" ( stateid INTEGER, state TEXT references institution_details (state), state_post TEXT, level TEXT, control TEXT, schools_count INTEGER, counted_pct TEXT, awards_per_state_value TEXT, awards_per_natl_value REAL, exp_award_state_value TEXT, exp_award_natl_value INTEGER, state_appr_value TEXT, state_appr_rank TEXT, grad_rate_rank TEXT, awards_per_rank TEXT, primary key (stateid, level, control) ) /* 1 example row: SELECT * FROM state_sector_details LIMIT 1; stateid || state ||state_post || level ||control ||schools_count ||counted_pct ||awards_per_state_value ||awards_per_natl_value ||exp_award_state_value ||exp_award_natl_value ||state_appr_value ||state_appr_rank ||grad_rate_rank ||awards_per_rank 0 ||United States || U.S. ||4-year || Public || 632 || NULL || NULL || 21.5 || NULL || 66436 || NULL || NULL || 23 || NULL */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_post": "", "level": "Level of institution", "control": "", "schools_count": "", "counted_pct": "Percentage of students in the entering class (Fall 2007 at 4-year institutions, Fall 2010 at 2-year institutions) who are first-time, full-time, degree-seeking students and generally part of the official graduation rate", "awards_per_state_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, national sector average", "exp_award_state_value": "Spending per completion, state and sector average ", "exp_award_natl_value": "Spending per completion, national sector average", "state_appr_value": "State appropriations to higher education in fiscal year 2011 per resident", "state_appr_rank": "", "grad_rate_rank": "", "awards_per_rank": "" }*/
3,691
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE institution_details ( unitid INTEGER constraint institution_details_pk primary key, chronname TEXT, city TEXT, state TEXT, level TEXT, control TEXT, basic TEXT, hbcu TEXT, flagship TEXT, long_x REAL, lat_y REAL, site TEXT, student_count INTEGER, awards_per_value REAL, awards_per_state_value REAL, awards_per_natl_value REAL, exp_award_value INTEGER, exp_award_state_value INTEGER, exp_award_natl_value INTEGER, exp_award_percentile INTEGER, ft_pct REAL, fte_value INTEGER, fte_percentile INTEGER, med_sat_value TEXT, med_sat_percentile TEXT, aid_value INTEGER, aid_percentile INTEGER, endow_value TEXT, endow_percentile TEXT, grad_100_value REAL, grad_100_percentile INTEGER, grad_150_value REAL, grad_150_percentile INTEGER, pell_value REAL, pell_percentile INTEGER, retain_value REAL, retain_percentile INTEGER, ft_fac_value REAL, ft_fac_percentile INTEGER, vsa_year TEXT, vsa_grad_after4_first TEXT, vsa_grad_elsewhere_after4_first TEXT, vsa_enroll_after4_first TEXT, vsa_enroll_elsewhere_after4_first TEXT, vsa_grad_after6_first TEXT, vsa_grad_elsewhere_after6_first TEXT, vsa_enroll_after6_first TEXT, vsa_enroll_elsewhere_after6_first TEXT, vsa_grad_after4_transfer TEXT, vsa_grad_elsewhere_after4_transfer TEXT, vsa_enroll_after4_transfer TEXT, vsa_enroll_elsewhere_after4_transfer TEXT, vsa_grad_after6_transfer TEXT, vsa_grad_elsewhere_after6_transfer TEXT, vsa_enroll_after6_transfer TEXT, vsa_enroll_elsewhere_after6_transfer TEXT, similar TEXT, state_sector_ct INTEGER, carnegie_ct INTEGER, counted_pct TEXT, nicknames TEXT, cohort_size INTEGER ) /* 1 example row: SELECT * FROM institution_details LIMIT 1; unitid || chronname || city || state || level ||control || basic ||hbcu ||flagship || long_x || lat_y || site ||student_count ||awards_per_value ||awards_per_state_value ||awards_per_natl_value ||exp_award_value ||exp_award_state_value ||exp_award_natl_value ||exp_award_percentile ||ft_pct ||fte_value ||fte_percentile ||med_sat_value ||med_sat_percentile ||aid_value ||aid_percentile ||endow_value ||endow_percentile ||grad_100_value ||grad_100_percentile ||grad_150_value ||grad_150_percentile ||pell_value ||pell_percentile ||retain_value ||retain_percentile ||ft_fac_value ||ft_fac_percentile ||vsa_year ||vsa_grad_after4_first ||vsa_grad_elsewhere_after4_first ||vsa_enroll_after4_first ||vsa_enroll_elsewhere_after4_first ||vsa_grad_after6_first ||vsa_grad_elsewhere_after6_first ||vsa_enroll_after6_first ||vsa_enroll_elsewhere_after6_first ||vsa_grad_after4_transfer ||vsa_grad_elsewhere_after4_transfer ||vsa_enroll_after4_transfer ||vsa_enroll_elsewhere_after4_transfer ||vsa_grad_after6_transfer ||vsa_grad_elsewhere_after6_transfer ||vsa_enroll_after6_transfer ||vsa_enroll_elsewhere_after6_transfer || similar ||state_sector_ct ||carnegie_ct ||counted_pct ||nicknames ||cohort_size 100654 ||Alabama A&M University ||Normal ||Alabama ||4-year || Public ||Masters Colleges and Universities--larger programs || X || NULL ||-86.568502 ||34.783368 ||www.aamu.edu/ || 4051 || 14.2 || 18.8 || 21.5 || 105331 || 75743 || 66436 || 90 || 93.8 || 3906 || 33 || 823 || 0 || 7142 || 72 || NULL || NULL || 10.0 || 15 || 29.1 || 14 || 71.2 || 98 || 63.1 || 17 || 82.8 || 89 || 2010 || 14.7 || 2 || 36.5 || 16.1 || 33 || 5.3 || 12.5 || 14.6 || 15.7 || 1.5 || 40.9 || 17.2 || 36.4 || 5.6 || 17.2 || 11.1 ||232937|100724|405997|113607|139533|144005|228501|101480|131876|144759|419509|176479|243197|228529|372222|228431|206695|139366|159993|224147 || 13 || 386 || 99.7|07 || NULL || 882 */ /* column definitions { "unitid": "unique Education Unit ID number", "chronname": "Institution name", "city": "Institution city", "state": "Institution state", "level": "Level of institution", "control": "Control of institution", "basic": "Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version)", "hbcu": "Denotes Historically Black College and Universities", "flagship": "Denotes Public flagship institutions", "long_x": "Institution longitude", "lat_y": "Institution latitude", "site": "Institution Web site address", "student_count": "Total number of undergraduates in 2010", "awards_per_value": "Completions per 100 FTE (full-time equivalency) undergraduate students (average 2011, 2012, and 2013)", "awards_per_state_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, national sector average", "exp_award_value": "Estimated educational spending per academic award in 2013. Includes all certificates and degrees", "exp_award_state_value": "Spending per completion, state and sector average", "exp_award_natl_value": "Spending per completion, national sector average", "exp_award_percentile": "", "ft_pct": "Percentage of undergraduates who attend full-time", "fte_value": "total number of full-time equivalent undergraduates", "fte_percentile": "", "med_sat_value": "Median estimated SAT value for incoming students", "med_sat_percentile": "Institution's percent rank for median SAT value within sector", "aid_value": "The average amount of student aid going to undergraduate recipients", "aid_percentile": "Institution's percent rank for average amount of student aid going to undergraduate recipients within sector", "endow_value": "End-of-year endowment value per full-time equivalent student", "endow_percentile": "Institution's percent rank for endowment value per full-time equivalent student within sector", "grad_100_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_100_percentile": "Institution's percent rank for completers within 100 percent of normal time within sector", "grad_150_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_150_percentile": "Institution's percent rank for completers within 150 percent of normal time within sector", "pell_value": "percentage of undergraduates receiving a Pell Grant", "pell_percentile": "Institution's percent rank for undergraduate Pell recipients within sector", "retain_value": "share of freshman students retained for a second year", "retain_percentile": "Institution's percent rank for freshman retention percentage within sector", "ft_fac_value": "Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school", "ft_fac_percentile": "Institution's percent rank for full-time faculty share within sector ", "vsa_year": "Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability", "vsa_grad_after4_first": "First-time, full-time students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_first": "First-time, full-time students who graduated from another institution within four years", "vsa_enroll_after4_first": "First-time, full-time students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_first": "First-time, full-time students who are enrolled at another institution after four years", "vsa_grad_after6_first": "First-time, full-time students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_first": "First-time, full-time students who graduated from another institution within six years", "vsa_enroll_after6_first": "First-time, full-time students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_first": "First-time, full-time students who are enrolled at another institution after six years", "vsa_grad_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_enroll_after4_transfer": "Full-time transfer students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_transfer": "Full-time transfer students who are enrolled at another institution after four years", "vsa_grad_after6_transfer": "Full-time transfer students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_transfer": "Full-time transfer students who graduated from another institution within six years", "vsa_enroll_after6_transfer": "Full-time transfer students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_transfer": "Full-time transfer students who are enrolled at another institution after six years", "similar": "", "state_sector_ct": "", "carnegie_ct": "", "counted_pct": "", "nicknames": "", "cohort_size": "" }*/ CREATE TABLE institution_grads ( unitid INTEGER, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, foreign key (unitid) references institution_details(unitid) ) /* 1 example row: SELECT * FROM institution_grads LIMIT 1; unitid ||year ||gender ||race ||cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate 100760 ||2011 || B || X ||2y all || 446 || 73 || 105 || 16.4 || 23.5 */ /* column definitions { "unitid": "Education Unit ID number", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time" }*/ CREATE TABLE state_sector_grads ( stateid INTEGER, state TEXT, state_abbr TEXT, control TEXT, level TEXT, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, grad_cohort_ct INTEGER, foreign key (state) references institution_details(state), foreign key (stateid) references state_sector_details(stateid) ) /* 1 example row: SELECT * FROM state_sector_grads LIMIT 1; stateid || state ||state_abbr || control || level ||year ||gender ||race || cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate ||grad_cohort_ct 1 ||Alabama || AL ||Private for-profit ||4-year ||2011 || B || A ||4y bach || 0 || 0 || 0 || NULL || NULL || 9 */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_abbr": "", "control": "", "level": "Level of institution", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time", "grad_cohort_ct": "Number of institutions with data included in the cohort" }*/ CREATE TABLE "state_sector_details" ( stateid INTEGER, state TEXT references institution_details (state), state_post TEXT, level TEXT, control TEXT, schools_count INTEGER, counted_pct TEXT, awards_per_state_value TEXT, awards_per_natl_value REAL, exp_award_state_value TEXT, exp_award_natl_value INTEGER, state_appr_value TEXT, state_appr_rank TEXT, grad_rate_rank TEXT, awards_per_rank TEXT, primary key (stateid, level, control) ) /* 1 example row: SELECT * FROM state_sector_details LIMIT 1; stateid || state ||state_post || level ||control ||schools_count ||counted_pct ||awards_per_state_value ||awards_per_natl_value ||exp_award_state_value ||exp_award_natl_value ||state_appr_value ||state_appr_rank ||grad_rate_rank ||awards_per_rank 0 ||United States || U.S. ||4-year || Public || 632 || NULL || NULL || 21.5 || NULL || 66436 || NULL || NULL || 23 || NULL */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_post": "", "level": "Level of institution", "control": "", "schools_count": "", "counted_pct": "Percentage of students in the entering class (Fall 2007 at 4-year institutions, Fall 2010 at 2-year institutions) who are first-time, full-time, degree-seeking students and generally part of the official graduation rate", "awards_per_state_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, national sector average", "exp_award_state_value": "Spending per completion, state and sector average ", "exp_award_natl_value": "Spending per completion, national sector average", "state_appr_value": "State appropriations to higher education in fiscal year 2011 per resident", "state_appr_rank": "", "grad_rate_rank": "", "awards_per_rank": "" }*/ ### Question In 2012, how many Asian female graduates were seeking another type of degree or certificate at the 4-year institution at University of Alaska at Anchorage? Clarification: In 2012 refers to year = 2012; Asian refers to race = 'A'; female refers to gender = 'F'; graduates refers to grad_cohort; seeking another type of degree or certificate at a 4-year institution refers to cohort = '4y other'; University of Alaska at Anchorage refers to chronname = 'University of Alaska at Anchorage';
[query_database(**{'query': 'SELECT COUNT(*) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T1.unitid = T2.unitid WHERE T2.gender = 'F' AND T2.race = 'A' AND T1.chronname = 'University of Alaska at Anchorage' AND T2.cohort = '4y other''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE institution_details ( unitid INTEGER constraint institution_details_pk primary key, chronname TEXT, city TEXT, state TEXT, level TEXT, control TEXT, basic TEXT, hbcu TEXT, flagship TEXT, long_x REAL, lat_y REAL, site TEXT, student_count INTEGER, awards_per_value REAL, awards_per_state_value REAL, awards_per_natl_value REAL, exp_award_value INTEGER, exp_award_state_value INTEGER, exp_award_natl_value INTEGER, exp_award_percentile INTEGER, ft_pct REAL, fte_value INTEGER, fte_percentile INTEGER, med_sat_value TEXT, med_sat_percentile TEXT, aid_value INTEGER, aid_percentile INTEGER, endow_value TEXT, endow_percentile TEXT, grad_100_value REAL, grad_100_percentile INTEGER, grad_150_value REAL, grad_150_percentile INTEGER, pell_value REAL, pell_percentile INTEGER, retain_value REAL, retain_percentile INTEGER, ft_fac_value REAL, ft_fac_percentile INTEGER, vsa_year TEXT, vsa_grad_after4_first TEXT, vsa_grad_elsewhere_after4_first TEXT, vsa_enroll_after4_first TEXT, vsa_enroll_elsewhere_after4_first TEXT, vsa_grad_after6_first TEXT, vsa_grad_elsewhere_after6_first TEXT, vsa_enroll_after6_first TEXT, vsa_enroll_elsewhere_after6_first TEXT, vsa_grad_after4_transfer TEXT, vsa_grad_elsewhere_after4_transfer TEXT, vsa_enroll_after4_transfer TEXT, vsa_enroll_elsewhere_after4_transfer TEXT, vsa_grad_after6_transfer TEXT, vsa_grad_elsewhere_after6_transfer TEXT, vsa_enroll_after6_transfer TEXT, vsa_enroll_elsewhere_after6_transfer TEXT, similar TEXT, state_sector_ct INTEGER, carnegie_ct INTEGER, counted_pct TEXT, nicknames TEXT, cohort_size INTEGER ) /* 1 example row: SELECT * FROM institution_details LIMIT 1; unitid || chronname || city || state || level ||control || basic ||hbcu ||flagship || long_x || lat_y || site ||student_count ||awards_per_value ||awards_per_state_value ||awards_per_natl_value ||exp_award_value ||exp_award_state_value ||exp_award_natl_value ||exp_award_percentile ||ft_pct ||fte_value ||fte_percentile ||med_sat_value ||med_sat_percentile ||aid_value ||aid_percentile ||endow_value ||endow_percentile ||grad_100_value ||grad_100_percentile ||grad_150_value ||grad_150_percentile ||pell_value ||pell_percentile ||retain_value ||retain_percentile ||ft_fac_value ||ft_fac_percentile ||vsa_year ||vsa_grad_after4_first ||vsa_grad_elsewhere_after4_first ||vsa_enroll_after4_first ||vsa_enroll_elsewhere_after4_first ||vsa_grad_after6_first ||vsa_grad_elsewhere_after6_first ||vsa_enroll_after6_first ||vsa_enroll_elsewhere_after6_first ||vsa_grad_after4_transfer ||vsa_grad_elsewhere_after4_transfer ||vsa_enroll_after4_transfer ||vsa_enroll_elsewhere_after4_transfer ||vsa_grad_after6_transfer ||vsa_grad_elsewhere_after6_transfer ||vsa_enroll_after6_transfer ||vsa_enroll_elsewhere_after6_transfer || similar ||state_sector_ct ||carnegie_ct ||counted_pct ||nicknames ||cohort_size 100654 ||Alabama A&M University ||Normal ||Alabama ||4-year || Public ||Masters Colleges and Universities--larger programs || X || NULL ||-86.568502 ||34.783368 ||www.aamu.edu/ || 4051 || 14.2 || 18.8 || 21.5 || 105331 || 75743 || 66436 || 90 || 93.8 || 3906 || 33 || 823 || 0 || 7142 || 72 || NULL || NULL || 10.0 || 15 || 29.1 || 14 || 71.2 || 98 || 63.1 || 17 || 82.8 || 89 || 2010 || 14.7 || 2 || 36.5 || 16.1 || 33 || 5.3 || 12.5 || 14.6 || 15.7 || 1.5 || 40.9 || 17.2 || 36.4 || 5.6 || 17.2 || 11.1 ||232937|100724|405997|113607|139533|144005|228501|101480|131876|144759|419509|176479|243197|228529|372222|228431|206695|139366|159993|224147 || 13 || 386 || 99.7|07 || NULL || 882 */ /* column definitions { "unitid": "unique Education Unit ID number", "chronname": "Institution name", "city": "Institution city", "state": "Institution state", "level": "Level of institution", "control": "Control of institution", "basic": "Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version)", "hbcu": "Denotes Historically Black College and Universities", "flagship": "Denotes Public flagship institutions", "long_x": "Institution longitude", "lat_y": "Institution latitude", "site": "Institution Web site address", "student_count": "Total number of undergraduates in 2010", "awards_per_value": "Completions per 100 FTE (full-time equivalency) undergraduate students (average 2011, 2012, and 2013)", "awards_per_state_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, national sector average", "exp_award_value": "Estimated educational spending per academic award in 2013. Includes all certificates and degrees", "exp_award_state_value": "Spending per completion, state and sector average", "exp_award_natl_value": "Spending per completion, national sector average", "exp_award_percentile": "", "ft_pct": "Percentage of undergraduates who attend full-time", "fte_value": "total number of full-time equivalent undergraduates", "fte_percentile": "", "med_sat_value": "Median estimated SAT value for incoming students", "med_sat_percentile": "Institution's percent rank for median SAT value within sector", "aid_value": "The average amount of student aid going to undergraduate recipients", "aid_percentile": "Institution's percent rank for average amount of student aid going to undergraduate recipients within sector", "endow_value": "End-of-year endowment value per full-time equivalent student", "endow_percentile": "Institution's percent rank for endowment value per full-time equivalent student within sector", "grad_100_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_100_percentile": "Institution's percent rank for completers within 100 percent of normal time within sector", "grad_150_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_150_percentile": "Institution's percent rank for completers within 150 percent of normal time within sector", "pell_value": "percentage of undergraduates receiving a Pell Grant", "pell_percentile": "Institution's percent rank for undergraduate Pell recipients within sector", "retain_value": "share of freshman students retained for a second year", "retain_percentile": "Institution's percent rank for freshman retention percentage within sector", "ft_fac_value": "Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school", "ft_fac_percentile": "Institution's percent rank for full-time faculty share within sector ", "vsa_year": "Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability", "vsa_grad_after4_first": "First-time, full-time students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_first": "First-time, full-time students who graduated from another institution within four years", "vsa_enroll_after4_first": "First-time, full-time students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_first": "First-time, full-time students who are enrolled at another institution after four years", "vsa_grad_after6_first": "First-time, full-time students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_first": "First-time, full-time students who graduated from another institution within six years", "vsa_enroll_after6_first": "First-time, full-time students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_first": "First-time, full-time students who are enrolled at another institution after six years", "vsa_grad_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_enroll_after4_transfer": "Full-time transfer students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_transfer": "Full-time transfer students who are enrolled at another institution after four years", "vsa_grad_after6_transfer": "Full-time transfer students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_transfer": "Full-time transfer students who graduated from another institution within six years", "vsa_enroll_after6_transfer": "Full-time transfer students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_transfer": "Full-time transfer students who are enrolled at another institution after six years", "similar": "", "state_sector_ct": "", "carnegie_ct": "", "counted_pct": "", "nicknames": "", "cohort_size": "" }*/ CREATE TABLE institution_grads ( unitid INTEGER, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, foreign key (unitid) references institution_details(unitid) ) /* 1 example row: SELECT * FROM institution_grads LIMIT 1; unitid ||year ||gender ||race ||cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate 100760 ||2011 || B || X ||2y all || 446 || 73 || 105 || 16.4 || 23.5 */ /* column definitions { "unitid": "Education Unit ID number", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time" }*/ CREATE TABLE state_sector_grads ( stateid INTEGER, state TEXT, state_abbr TEXT, control TEXT, level TEXT, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, grad_cohort_ct INTEGER, foreign key (state) references institution_details(state), foreign key (stateid) references state_sector_details(stateid) ) /* 1 example row: SELECT * FROM state_sector_grads LIMIT 1; stateid || state ||state_abbr || control || level ||year ||gender ||race || cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate ||grad_cohort_ct 1 ||Alabama || AL ||Private for-profit ||4-year ||2011 || B || A ||4y bach || 0 || 0 || 0 || NULL || NULL || 9 */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_abbr": "", "control": "", "level": "Level of institution", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time", "grad_cohort_ct": "Number of institutions with data included in the cohort" }*/ CREATE TABLE "state_sector_details" ( stateid INTEGER, state TEXT references institution_details (state), state_post TEXT, level TEXT, control TEXT, schools_count INTEGER, counted_pct TEXT, awards_per_state_value TEXT, awards_per_natl_value REAL, exp_award_state_value TEXT, exp_award_natl_value INTEGER, state_appr_value TEXT, state_appr_rank TEXT, grad_rate_rank TEXT, awards_per_rank TEXT, primary key (stateid, level, control) ) /* 1 example row: SELECT * FROM state_sector_details LIMIT 1; stateid || state ||state_post || level ||control ||schools_count ||counted_pct ||awards_per_state_value ||awards_per_natl_value ||exp_award_state_value ||exp_award_natl_value ||state_appr_value ||state_appr_rank ||grad_rate_rank ||awards_per_rank 0 ||United States || U.S. ||4-year || Public || 632 || NULL || NULL || 21.5 || NULL || 66436 || NULL || NULL || 23 || NULL */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_post": "", "level": "Level of institution", "control": "", "schools_count": "", "counted_pct": "Percentage of students in the entering class (Fall 2007 at 4-year institutions, Fall 2010 at 2-year institutions) who are first-time, full-time, degree-seeking students and generally part of the official graduation rate", "awards_per_state_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, national sector average", "exp_award_state_value": "Spending per completion, state and sector average ", "exp_award_natl_value": "Spending per completion, national sector average", "state_appr_value": "State appropriations to higher education in fiscal year 2011 per resident", "state_appr_rank": "", "grad_rate_rank": "", "awards_per_rank": "" }*/
3,695
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE institution_details ( unitid INTEGER constraint institution_details_pk primary key, chronname TEXT, city TEXT, state TEXT, level TEXT, control TEXT, basic TEXT, hbcu TEXT, flagship TEXT, long_x REAL, lat_y REAL, site TEXT, student_count INTEGER, awards_per_value REAL, awards_per_state_value REAL, awards_per_natl_value REAL, exp_award_value INTEGER, exp_award_state_value INTEGER, exp_award_natl_value INTEGER, exp_award_percentile INTEGER, ft_pct REAL, fte_value INTEGER, fte_percentile INTEGER, med_sat_value TEXT, med_sat_percentile TEXT, aid_value INTEGER, aid_percentile INTEGER, endow_value TEXT, endow_percentile TEXT, grad_100_value REAL, grad_100_percentile INTEGER, grad_150_value REAL, grad_150_percentile INTEGER, pell_value REAL, pell_percentile INTEGER, retain_value REAL, retain_percentile INTEGER, ft_fac_value REAL, ft_fac_percentile INTEGER, vsa_year TEXT, vsa_grad_after4_first TEXT, vsa_grad_elsewhere_after4_first TEXT, vsa_enroll_after4_first TEXT, vsa_enroll_elsewhere_after4_first TEXT, vsa_grad_after6_first TEXT, vsa_grad_elsewhere_after6_first TEXT, vsa_enroll_after6_first TEXT, vsa_enroll_elsewhere_after6_first TEXT, vsa_grad_after4_transfer TEXT, vsa_grad_elsewhere_after4_transfer TEXT, vsa_enroll_after4_transfer TEXT, vsa_enroll_elsewhere_after4_transfer TEXT, vsa_grad_after6_transfer TEXT, vsa_grad_elsewhere_after6_transfer TEXT, vsa_enroll_after6_transfer TEXT, vsa_enroll_elsewhere_after6_transfer TEXT, similar TEXT, state_sector_ct INTEGER, carnegie_ct INTEGER, counted_pct TEXT, nicknames TEXT, cohort_size INTEGER ) /* 1 example row: SELECT * FROM institution_details LIMIT 1; unitid || chronname || city || state || level ||control || basic ||hbcu ||flagship || long_x || lat_y || site ||student_count ||awards_per_value ||awards_per_state_value ||awards_per_natl_value ||exp_award_value ||exp_award_state_value ||exp_award_natl_value ||exp_award_percentile ||ft_pct ||fte_value ||fte_percentile ||med_sat_value ||med_sat_percentile ||aid_value ||aid_percentile ||endow_value ||endow_percentile ||grad_100_value ||grad_100_percentile ||grad_150_value ||grad_150_percentile ||pell_value ||pell_percentile ||retain_value ||retain_percentile ||ft_fac_value ||ft_fac_percentile ||vsa_year ||vsa_grad_after4_first ||vsa_grad_elsewhere_after4_first ||vsa_enroll_after4_first ||vsa_enroll_elsewhere_after4_first ||vsa_grad_after6_first ||vsa_grad_elsewhere_after6_first ||vsa_enroll_after6_first ||vsa_enroll_elsewhere_after6_first ||vsa_grad_after4_transfer ||vsa_grad_elsewhere_after4_transfer ||vsa_enroll_after4_transfer ||vsa_enroll_elsewhere_after4_transfer ||vsa_grad_after6_transfer ||vsa_grad_elsewhere_after6_transfer ||vsa_enroll_after6_transfer ||vsa_enroll_elsewhere_after6_transfer || similar ||state_sector_ct ||carnegie_ct ||counted_pct ||nicknames ||cohort_size 100654 ||Alabama A&M University ||Normal ||Alabama ||4-year || Public ||Masters Colleges and Universities--larger programs || X || NULL ||-86.568502 ||34.783368 ||www.aamu.edu/ || 4051 || 14.2 || 18.8 || 21.5 || 105331 || 75743 || 66436 || 90 || 93.8 || 3906 || 33 || 823 || 0 || 7142 || 72 || NULL || NULL || 10.0 || 15 || 29.1 || 14 || 71.2 || 98 || 63.1 || 17 || 82.8 || 89 || 2010 || 14.7 || 2 || 36.5 || 16.1 || 33 || 5.3 || 12.5 || 14.6 || 15.7 || 1.5 || 40.9 || 17.2 || 36.4 || 5.6 || 17.2 || 11.1 ||232937|100724|405997|113607|139533|144005|228501|101480|131876|144759|419509|176479|243197|228529|372222|228431|206695|139366|159993|224147 || 13 || 386 || 99.7|07 || NULL || 882 */ /* column definitions { "unitid": "unique Education Unit ID number", "chronname": "Institution name", "city": "Institution city", "state": "Institution state", "level": "Level of institution", "control": "Control of institution", "basic": "Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version)", "hbcu": "Denotes Historically Black College and Universities", "flagship": "Denotes Public flagship institutions", "long_x": "Institution longitude", "lat_y": "Institution latitude", "site": "Institution Web site address", "student_count": "Total number of undergraduates in 2010", "awards_per_value": "Completions per 100 FTE (full-time equivalency) undergraduate students (average 2011, 2012, and 2013)", "awards_per_state_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, national sector average", "exp_award_value": "Estimated educational spending per academic award in 2013. Includes all certificates and degrees", "exp_award_state_value": "Spending per completion, state and sector average", "exp_award_natl_value": "Spending per completion, national sector average", "exp_award_percentile": "", "ft_pct": "Percentage of undergraduates who attend full-time", "fte_value": "total number of full-time equivalent undergraduates", "fte_percentile": "", "med_sat_value": "Median estimated SAT value for incoming students", "med_sat_percentile": "Institution's percent rank for median SAT value within sector", "aid_value": "The average amount of student aid going to undergraduate recipients", "aid_percentile": "Institution's percent rank for average amount of student aid going to undergraduate recipients within sector", "endow_value": "End-of-year endowment value per full-time equivalent student", "endow_percentile": "Institution's percent rank for endowment value per full-time equivalent student within sector", "grad_100_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_100_percentile": "Institution's percent rank for completers within 100 percent of normal time within sector", "grad_150_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_150_percentile": "Institution's percent rank for completers within 150 percent of normal time within sector", "pell_value": "percentage of undergraduates receiving a Pell Grant", "pell_percentile": "Institution's percent rank for undergraduate Pell recipients within sector", "retain_value": "share of freshman students retained for a second year", "retain_percentile": "Institution's percent rank for freshman retention percentage within sector", "ft_fac_value": "Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school", "ft_fac_percentile": "Institution's percent rank for full-time faculty share within sector ", "vsa_year": "Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability", "vsa_grad_after4_first": "First-time, full-time students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_first": "First-time, full-time students who graduated from another institution within four years", "vsa_enroll_after4_first": "First-time, full-time students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_first": "First-time, full-time students who are enrolled at another institution after four years", "vsa_grad_after6_first": "First-time, full-time students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_first": "First-time, full-time students who graduated from another institution within six years", "vsa_enroll_after6_first": "First-time, full-time students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_first": "First-time, full-time students who are enrolled at another institution after six years", "vsa_grad_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_enroll_after4_transfer": "Full-time transfer students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_transfer": "Full-time transfer students who are enrolled at another institution after four years", "vsa_grad_after6_transfer": "Full-time transfer students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_transfer": "Full-time transfer students who graduated from another institution within six years", "vsa_enroll_after6_transfer": "Full-time transfer students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_transfer": "Full-time transfer students who are enrolled at another institution after six years", "similar": "", "state_sector_ct": "", "carnegie_ct": "", "counted_pct": "", "nicknames": "", "cohort_size": "" }*/ CREATE TABLE institution_grads ( unitid INTEGER, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, foreign key (unitid) references institution_details(unitid) ) /* 1 example row: SELECT * FROM institution_grads LIMIT 1; unitid ||year ||gender ||race ||cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate 100760 ||2011 || B || X ||2y all || 446 || 73 || 105 || 16.4 || 23.5 */ /* column definitions { "unitid": "Education Unit ID number", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time" }*/ CREATE TABLE state_sector_grads ( stateid INTEGER, state TEXT, state_abbr TEXT, control TEXT, level TEXT, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, grad_cohort_ct INTEGER, foreign key (state) references institution_details(state), foreign key (stateid) references state_sector_details(stateid) ) /* 1 example row: SELECT * FROM state_sector_grads LIMIT 1; stateid || state ||state_abbr || control || level ||year ||gender ||race || cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate ||grad_cohort_ct 1 ||Alabama || AL ||Private for-profit ||4-year ||2011 || B || A ||4y bach || 0 || 0 || 0 || NULL || NULL || 9 */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_abbr": "", "control": "", "level": "Level of institution", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time", "grad_cohort_ct": "Number of institutions with data included in the cohort" }*/ CREATE TABLE "state_sector_details" ( stateid INTEGER, state TEXT references institution_details (state), state_post TEXT, level TEXT, control TEXT, schools_count INTEGER, counted_pct TEXT, awards_per_state_value TEXT, awards_per_natl_value REAL, exp_award_state_value TEXT, exp_award_natl_value INTEGER, state_appr_value TEXT, state_appr_rank TEXT, grad_rate_rank TEXT, awards_per_rank TEXT, primary key (stateid, level, control) ) /* 1 example row: SELECT * FROM state_sector_details LIMIT 1; stateid || state ||state_post || level ||control ||schools_count ||counted_pct ||awards_per_state_value ||awards_per_natl_value ||exp_award_state_value ||exp_award_natl_value ||state_appr_value ||state_appr_rank ||grad_rate_rank ||awards_per_rank 0 ||United States || U.S. ||4-year || Public || 632 || NULL || NULL || 21.5 || NULL || 66436 || NULL || NULL || 23 || NULL */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_post": "", "level": "Level of institution", "control": "", "schools_count": "", "counted_pct": "Percentage of students in the entering class (Fall 2007 at 4-year institutions, Fall 2010 at 2-year institutions) who are first-time, full-time, degree-seeking students and generally part of the official graduation rate", "awards_per_state_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, national sector average", "exp_award_state_value": "Spending per completion, state and sector average ", "exp_award_natl_value": "Spending per completion, national sector average", "state_appr_value": "State appropriations to higher education in fiscal year 2011 per resident", "state_appr_rank": "", "grad_rate_rank": "", "awards_per_rank": "" }*/ ### Question What is the ratio of Asian male graduates to Asian female graduates from Harvard University in 2013? Clarification: ratio = MULTIPLY(DIVIDE(SUM(grad_cohort WHERE Gender = 'M'), SUM( grad_cohort WHERE Gender = 'F')), 1.0); Asian refers to race = 'A'; female refers to gender = 'F'; graduates refers to grad_cohort; male refers to gender = 'M'; Harvard University refers to chronname = 'Harvard University'; in 2013 refers to year = 2013;
[query_database(**{'query': 'SELECT CAST(SUM(CASE WHEN T2.Gender = 'M' THEN T2.grad_cohort ELSE 0 END) AS REAL) / SUM(CASE WHEN T2.Gender = 'F' THEN T2.grad_cohort ELSE 0 END) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T1.unitid = T2.unitid WHERE T1.chronname = 'Harvard University' AND T2.year = 2013 AND T2.race = 'A''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE institution_details ( unitid INTEGER constraint institution_details_pk primary key, chronname TEXT, city TEXT, state TEXT, level TEXT, control TEXT, basic TEXT, hbcu TEXT, flagship TEXT, long_x REAL, lat_y REAL, site TEXT, student_count INTEGER, awards_per_value REAL, awards_per_state_value REAL, awards_per_natl_value REAL, exp_award_value INTEGER, exp_award_state_value INTEGER, exp_award_natl_value INTEGER, exp_award_percentile INTEGER, ft_pct REAL, fte_value INTEGER, fte_percentile INTEGER, med_sat_value TEXT, med_sat_percentile TEXT, aid_value INTEGER, aid_percentile INTEGER, endow_value TEXT, endow_percentile TEXT, grad_100_value REAL, grad_100_percentile INTEGER, grad_150_value REAL, grad_150_percentile INTEGER, pell_value REAL, pell_percentile INTEGER, retain_value REAL, retain_percentile INTEGER, ft_fac_value REAL, ft_fac_percentile INTEGER, vsa_year TEXT, vsa_grad_after4_first TEXT, vsa_grad_elsewhere_after4_first TEXT, vsa_enroll_after4_first TEXT, vsa_enroll_elsewhere_after4_first TEXT, vsa_grad_after6_first TEXT, vsa_grad_elsewhere_after6_first TEXT, vsa_enroll_after6_first TEXT, vsa_enroll_elsewhere_after6_first TEXT, vsa_grad_after4_transfer TEXT, vsa_grad_elsewhere_after4_transfer TEXT, vsa_enroll_after4_transfer TEXT, vsa_enroll_elsewhere_after4_transfer TEXT, vsa_grad_after6_transfer TEXT, vsa_grad_elsewhere_after6_transfer TEXT, vsa_enroll_after6_transfer TEXT, vsa_enroll_elsewhere_after6_transfer TEXT, similar TEXT, state_sector_ct INTEGER, carnegie_ct INTEGER, counted_pct TEXT, nicknames TEXT, cohort_size INTEGER ) /* 1 example row: SELECT * FROM institution_details LIMIT 1; unitid || chronname || city || state || level ||control || basic ||hbcu ||flagship || long_x || lat_y || site ||student_count ||awards_per_value ||awards_per_state_value ||awards_per_natl_value ||exp_award_value ||exp_award_state_value ||exp_award_natl_value ||exp_award_percentile ||ft_pct ||fte_value ||fte_percentile ||med_sat_value ||med_sat_percentile ||aid_value ||aid_percentile ||endow_value ||endow_percentile ||grad_100_value ||grad_100_percentile ||grad_150_value ||grad_150_percentile ||pell_value ||pell_percentile ||retain_value ||retain_percentile ||ft_fac_value ||ft_fac_percentile ||vsa_year ||vsa_grad_after4_first ||vsa_grad_elsewhere_after4_first ||vsa_enroll_after4_first ||vsa_enroll_elsewhere_after4_first ||vsa_grad_after6_first ||vsa_grad_elsewhere_after6_first ||vsa_enroll_after6_first ||vsa_enroll_elsewhere_after6_first ||vsa_grad_after4_transfer ||vsa_grad_elsewhere_after4_transfer ||vsa_enroll_after4_transfer ||vsa_enroll_elsewhere_after4_transfer ||vsa_grad_after6_transfer ||vsa_grad_elsewhere_after6_transfer ||vsa_enroll_after6_transfer ||vsa_enroll_elsewhere_after6_transfer || similar ||state_sector_ct ||carnegie_ct ||counted_pct ||nicknames ||cohort_size 100654 ||Alabama A&M University ||Normal ||Alabama ||4-year || Public ||Masters Colleges and Universities--larger programs || X || NULL ||-86.568502 ||34.783368 ||www.aamu.edu/ || 4051 || 14.2 || 18.8 || 21.5 || 105331 || 75743 || 66436 || 90 || 93.8 || 3906 || 33 || 823 || 0 || 7142 || 72 || NULL || NULL || 10.0 || 15 || 29.1 || 14 || 71.2 || 98 || 63.1 || 17 || 82.8 || 89 || 2010 || 14.7 || 2 || 36.5 || 16.1 || 33 || 5.3 || 12.5 || 14.6 || 15.7 || 1.5 || 40.9 || 17.2 || 36.4 || 5.6 || 17.2 || 11.1 ||232937|100724|405997|113607|139533|144005|228501|101480|131876|144759|419509|176479|243197|228529|372222|228431|206695|139366|159993|224147 || 13 || 386 || 99.7|07 || NULL || 882 */ /* column definitions { "unitid": "unique Education Unit ID number", "chronname": "Institution name", "city": "Institution city", "state": "Institution state", "level": "Level of institution", "control": "Control of institution", "basic": "Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version)", "hbcu": "Denotes Historically Black College and Universities", "flagship": "Denotes Public flagship institutions", "long_x": "Institution longitude", "lat_y": "Institution latitude", "site": "Institution Web site address", "student_count": "Total number of undergraduates in 2010", "awards_per_value": "Completions per 100 FTE (full-time equivalency) undergraduate students (average 2011, 2012, and 2013)", "awards_per_state_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, national sector average", "exp_award_value": "Estimated educational spending per academic award in 2013. Includes all certificates and degrees", "exp_award_state_value": "Spending per completion, state and sector average", "exp_award_natl_value": "Spending per completion, national sector average", "exp_award_percentile": "", "ft_pct": "Percentage of undergraduates who attend full-time", "fte_value": "total number of full-time equivalent undergraduates", "fte_percentile": "", "med_sat_value": "Median estimated SAT value for incoming students", "med_sat_percentile": "Institution's percent rank for median SAT value within sector", "aid_value": "The average amount of student aid going to undergraduate recipients", "aid_percentile": "Institution's percent rank for average amount of student aid going to undergraduate recipients within sector", "endow_value": "End-of-year endowment value per full-time equivalent student", "endow_percentile": "Institution's percent rank for endowment value per full-time equivalent student within sector", "grad_100_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_100_percentile": "Institution's percent rank for completers within 100 percent of normal time within sector", "grad_150_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_150_percentile": "Institution's percent rank for completers within 150 percent of normal time within sector", "pell_value": "percentage of undergraduates receiving a Pell Grant", "pell_percentile": "Institution's percent rank for undergraduate Pell recipients within sector", "retain_value": "share of freshman students retained for a second year", "retain_percentile": "Institution's percent rank for freshman retention percentage within sector", "ft_fac_value": "Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school", "ft_fac_percentile": "Institution's percent rank for full-time faculty share within sector ", "vsa_year": "Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability", "vsa_grad_after4_first": "First-time, full-time students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_first": "First-time, full-time students who graduated from another institution within four years", "vsa_enroll_after4_first": "First-time, full-time students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_first": "First-time, full-time students who are enrolled at another institution after four years", "vsa_grad_after6_first": "First-time, full-time students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_first": "First-time, full-time students who graduated from another institution within six years", "vsa_enroll_after6_first": "First-time, full-time students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_first": "First-time, full-time students who are enrolled at another institution after six years", "vsa_grad_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_enroll_after4_transfer": "Full-time transfer students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_transfer": "Full-time transfer students who are enrolled at another institution after four years", "vsa_grad_after6_transfer": "Full-time transfer students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_transfer": "Full-time transfer students who graduated from another institution within six years", "vsa_enroll_after6_transfer": "Full-time transfer students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_transfer": "Full-time transfer students who are enrolled at another institution after six years", "similar": "", "state_sector_ct": "", "carnegie_ct": "", "counted_pct": "", "nicknames": "", "cohort_size": "" }*/ CREATE TABLE institution_grads ( unitid INTEGER, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, foreign key (unitid) references institution_details(unitid) ) /* 1 example row: SELECT * FROM institution_grads LIMIT 1; unitid ||year ||gender ||race ||cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate 100760 ||2011 || B || X ||2y all || 446 || 73 || 105 || 16.4 || 23.5 */ /* column definitions { "unitid": "Education Unit ID number", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time" }*/ CREATE TABLE state_sector_grads ( stateid INTEGER, state TEXT, state_abbr TEXT, control TEXT, level TEXT, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, grad_cohort_ct INTEGER, foreign key (state) references institution_details(state), foreign key (stateid) references state_sector_details(stateid) ) /* 1 example row: SELECT * FROM state_sector_grads LIMIT 1; stateid || state ||state_abbr || control || level ||year ||gender ||race || cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate ||grad_cohort_ct 1 ||Alabama || AL ||Private for-profit ||4-year ||2011 || B || A ||4y bach || 0 || 0 || 0 || NULL || NULL || 9 */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_abbr": "", "control": "", "level": "Level of institution", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time", "grad_cohort_ct": "Number of institutions with data included in the cohort" }*/ CREATE TABLE "state_sector_details" ( stateid INTEGER, state TEXT references institution_details (state), state_post TEXT, level TEXT, control TEXT, schools_count INTEGER, counted_pct TEXT, awards_per_state_value TEXT, awards_per_natl_value REAL, exp_award_state_value TEXT, exp_award_natl_value INTEGER, state_appr_value TEXT, state_appr_rank TEXT, grad_rate_rank TEXT, awards_per_rank TEXT, primary key (stateid, level, control) ) /* 1 example row: SELECT * FROM state_sector_details LIMIT 1; stateid || state ||state_post || level ||control ||schools_count ||counted_pct ||awards_per_state_value ||awards_per_natl_value ||exp_award_state_value ||exp_award_natl_value ||state_appr_value ||state_appr_rank ||grad_rate_rank ||awards_per_rank 0 ||United States || U.S. ||4-year || Public || 632 || NULL || NULL || 21.5 || NULL || 66436 || NULL || NULL || 23 || NULL */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_post": "", "level": "Level of institution", "control": "", "schools_count": "", "counted_pct": "Percentage of students in the entering class (Fall 2007 at 4-year institutions, Fall 2010 at 2-year institutions) who are first-time, full-time, degree-seeking students and generally part of the official graduation rate", "awards_per_state_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, national sector average", "exp_award_state_value": "Spending per completion, state and sector average ", "exp_award_natl_value": "Spending per completion, national sector average", "state_appr_value": "State appropriations to higher education in fiscal year 2011 per resident", "state_appr_rank": "", "grad_rate_rank": "", "awards_per_rank": "" }*/
3,699
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE institution_details ( unitid INTEGER constraint institution_details_pk primary key, chronname TEXT, city TEXT, state TEXT, level TEXT, control TEXT, basic TEXT, hbcu TEXT, flagship TEXT, long_x REAL, lat_y REAL, site TEXT, student_count INTEGER, awards_per_value REAL, awards_per_state_value REAL, awards_per_natl_value REAL, exp_award_value INTEGER, exp_award_state_value INTEGER, exp_award_natl_value INTEGER, exp_award_percentile INTEGER, ft_pct REAL, fte_value INTEGER, fte_percentile INTEGER, med_sat_value TEXT, med_sat_percentile TEXT, aid_value INTEGER, aid_percentile INTEGER, endow_value TEXT, endow_percentile TEXT, grad_100_value REAL, grad_100_percentile INTEGER, grad_150_value REAL, grad_150_percentile INTEGER, pell_value REAL, pell_percentile INTEGER, retain_value REAL, retain_percentile INTEGER, ft_fac_value REAL, ft_fac_percentile INTEGER, vsa_year TEXT, vsa_grad_after4_first TEXT, vsa_grad_elsewhere_after4_first TEXT, vsa_enroll_after4_first TEXT, vsa_enroll_elsewhere_after4_first TEXT, vsa_grad_after6_first TEXT, vsa_grad_elsewhere_after6_first TEXT, vsa_enroll_after6_first TEXT, vsa_enroll_elsewhere_after6_first TEXT, vsa_grad_after4_transfer TEXT, vsa_grad_elsewhere_after4_transfer TEXT, vsa_enroll_after4_transfer TEXT, vsa_enroll_elsewhere_after4_transfer TEXT, vsa_grad_after6_transfer TEXT, vsa_grad_elsewhere_after6_transfer TEXT, vsa_enroll_after6_transfer TEXT, vsa_enroll_elsewhere_after6_transfer TEXT, similar TEXT, state_sector_ct INTEGER, carnegie_ct INTEGER, counted_pct TEXT, nicknames TEXT, cohort_size INTEGER ) /* 1 example row: SELECT * FROM institution_details LIMIT 1; unitid || chronname || city || state || level ||control || basic ||hbcu ||flagship || long_x || lat_y || site ||student_count ||awards_per_value ||awards_per_state_value ||awards_per_natl_value ||exp_award_value ||exp_award_state_value ||exp_award_natl_value ||exp_award_percentile ||ft_pct ||fte_value ||fte_percentile ||med_sat_value ||med_sat_percentile ||aid_value ||aid_percentile ||endow_value ||endow_percentile ||grad_100_value ||grad_100_percentile ||grad_150_value ||grad_150_percentile ||pell_value ||pell_percentile ||retain_value ||retain_percentile ||ft_fac_value ||ft_fac_percentile ||vsa_year ||vsa_grad_after4_first ||vsa_grad_elsewhere_after4_first ||vsa_enroll_after4_first ||vsa_enroll_elsewhere_after4_first ||vsa_grad_after6_first ||vsa_grad_elsewhere_after6_first ||vsa_enroll_after6_first ||vsa_enroll_elsewhere_after6_first ||vsa_grad_after4_transfer ||vsa_grad_elsewhere_after4_transfer ||vsa_enroll_after4_transfer ||vsa_enroll_elsewhere_after4_transfer ||vsa_grad_after6_transfer ||vsa_grad_elsewhere_after6_transfer ||vsa_enroll_after6_transfer ||vsa_enroll_elsewhere_after6_transfer || similar ||state_sector_ct ||carnegie_ct ||counted_pct ||nicknames ||cohort_size 100654 ||Alabama A&M University ||Normal ||Alabama ||4-year || Public ||Masters Colleges and Universities--larger programs || X || NULL ||-86.568502 ||34.783368 ||www.aamu.edu/ || 4051 || 14.2 || 18.8 || 21.5 || 105331 || 75743 || 66436 || 90 || 93.8 || 3906 || 33 || 823 || 0 || 7142 || 72 || NULL || NULL || 10.0 || 15 || 29.1 || 14 || 71.2 || 98 || 63.1 || 17 || 82.8 || 89 || 2010 || 14.7 || 2 || 36.5 || 16.1 || 33 || 5.3 || 12.5 || 14.6 || 15.7 || 1.5 || 40.9 || 17.2 || 36.4 || 5.6 || 17.2 || 11.1 ||232937|100724|405997|113607|139533|144005|228501|101480|131876|144759|419509|176479|243197|228529|372222|228431|206695|139366|159993|224147 || 13 || 386 || 99.7|07 || NULL || 882 */ /* column definitions { "unitid": "unique Education Unit ID number", "chronname": "Institution name", "city": "Institution city", "state": "Institution state", "level": "Level of institution", "control": "Control of institution", "basic": "Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version)", "hbcu": "Denotes Historically Black College and Universities", "flagship": "Denotes Public flagship institutions", "long_x": "Institution longitude", "lat_y": "Institution latitude", "site": "Institution Web site address", "student_count": "Total number of undergraduates in 2010", "awards_per_value": "Completions per 100 FTE (full-time equivalency) undergraduate students (average 2011, 2012, and 2013)", "awards_per_state_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, national sector average", "exp_award_value": "Estimated educational spending per academic award in 2013. Includes all certificates and degrees", "exp_award_state_value": "Spending per completion, state and sector average", "exp_award_natl_value": "Spending per completion, national sector average", "exp_award_percentile": "", "ft_pct": "Percentage of undergraduates who attend full-time", "fte_value": "total number of full-time equivalent undergraduates", "fte_percentile": "", "med_sat_value": "Median estimated SAT value for incoming students", "med_sat_percentile": "Institution's percent rank for median SAT value within sector", "aid_value": "The average amount of student aid going to undergraduate recipients", "aid_percentile": "Institution's percent rank for average amount of student aid going to undergraduate recipients within sector", "endow_value": "End-of-year endowment value per full-time equivalent student", "endow_percentile": "Institution's percent rank for endowment value per full-time equivalent student within sector", "grad_100_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_100_percentile": "Institution's percent rank for completers within 100 percent of normal time within sector", "grad_150_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_150_percentile": "Institution's percent rank for completers within 150 percent of normal time within sector", "pell_value": "percentage of undergraduates receiving a Pell Grant", "pell_percentile": "Institution's percent rank for undergraduate Pell recipients within sector", "retain_value": "share of freshman students retained for a second year", "retain_percentile": "Institution's percent rank for freshman retention percentage within sector", "ft_fac_value": "Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school", "ft_fac_percentile": "Institution's percent rank for full-time faculty share within sector ", "vsa_year": "Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability", "vsa_grad_after4_first": "First-time, full-time students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_first": "First-time, full-time students who graduated from another institution within four years", "vsa_enroll_after4_first": "First-time, full-time students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_first": "First-time, full-time students who are enrolled at another institution after four years", "vsa_grad_after6_first": "First-time, full-time students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_first": "First-time, full-time students who graduated from another institution within six years", "vsa_enroll_after6_first": "First-time, full-time students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_first": "First-time, full-time students who are enrolled at another institution after six years", "vsa_grad_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_enroll_after4_transfer": "Full-time transfer students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_transfer": "Full-time transfer students who are enrolled at another institution after four years", "vsa_grad_after6_transfer": "Full-time transfer students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_transfer": "Full-time transfer students who graduated from another institution within six years", "vsa_enroll_after6_transfer": "Full-time transfer students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_transfer": "Full-time transfer students who are enrolled at another institution after six years", "similar": "", "state_sector_ct": "", "carnegie_ct": "", "counted_pct": "", "nicknames": "", "cohort_size": "" }*/ CREATE TABLE institution_grads ( unitid INTEGER, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, foreign key (unitid) references institution_details(unitid) ) /* 1 example row: SELECT * FROM institution_grads LIMIT 1; unitid ||year ||gender ||race ||cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate 100760 ||2011 || B || X ||2y all || 446 || 73 || 105 || 16.4 || 23.5 */ /* column definitions { "unitid": "Education Unit ID number", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time" }*/ CREATE TABLE state_sector_grads ( stateid INTEGER, state TEXT, state_abbr TEXT, control TEXT, level TEXT, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, grad_cohort_ct INTEGER, foreign key (state) references institution_details(state), foreign key (stateid) references state_sector_details(stateid) ) /* 1 example row: SELECT * FROM state_sector_grads LIMIT 1; stateid || state ||state_abbr || control || level ||year ||gender ||race || cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate ||grad_cohort_ct 1 ||Alabama || AL ||Private for-profit ||4-year ||2011 || B || A ||4y bach || 0 || 0 || 0 || NULL || NULL || 9 */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_abbr": "", "control": "", "level": "Level of institution", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time", "grad_cohort_ct": "Number of institutions with data included in the cohort" }*/ CREATE TABLE "state_sector_details" ( stateid INTEGER, state TEXT references institution_details (state), state_post TEXT, level TEXT, control TEXT, schools_count INTEGER, counted_pct TEXT, awards_per_state_value TEXT, awards_per_natl_value REAL, exp_award_state_value TEXT, exp_award_natl_value INTEGER, state_appr_value TEXT, state_appr_rank TEXT, grad_rate_rank TEXT, awards_per_rank TEXT, primary key (stateid, level, control) ) /* 1 example row: SELECT * FROM state_sector_details LIMIT 1; stateid || state ||state_post || level ||control ||schools_count ||counted_pct ||awards_per_state_value ||awards_per_natl_value ||exp_award_state_value ||exp_award_natl_value ||state_appr_value ||state_appr_rank ||grad_rate_rank ||awards_per_rank 0 ||United States || U.S. ||4-year || Public || 632 || NULL || NULL || 21.5 || NULL || 66436 || NULL || NULL || 23 || NULL */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_post": "", "level": "Level of institution", "control": "", "schools_count": "", "counted_pct": "Percentage of students in the entering class (Fall 2007 at 4-year institutions, Fall 2010 at 2-year institutions) who are first-time, full-time, degree-seeking students and generally part of the official graduation rate", "awards_per_state_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, national sector average", "exp_award_state_value": "Spending per completion, state and sector average ", "exp_award_natl_value": "Spending per completion, national sector average", "state_appr_value": "State appropriations to higher education in fiscal year 2011 per resident", "state_appr_rank": "", "grad_rate_rank": "", "awards_per_rank": "" }*/ ### Question How many students that graduated from Lincoln College in 2011 belong to the cohort type of Bachelor's/equivalent seeking cohort at 4-year institutions? Clarification: Lincoln College refers to chronname = 'Lincoln College'; in 2011 refers to year = 2011; Bachelor's/equivalent seeking cohort at 4-year institutions refers to cohort = '4y bach';
[query_database(**{'query': 'SELECT COUNT(T1.unitid) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T1.unitid = T2.unitid WHERE T1.chronname = 'Lincoln College' AND T2.year = 2011 AND T2.cohort = '4y bach''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE institution_details ( unitid INTEGER constraint institution_details_pk primary key, chronname TEXT, city TEXT, state TEXT, level TEXT, control TEXT, basic TEXT, hbcu TEXT, flagship TEXT, long_x REAL, lat_y REAL, site TEXT, student_count INTEGER, awards_per_value REAL, awards_per_state_value REAL, awards_per_natl_value REAL, exp_award_value INTEGER, exp_award_state_value INTEGER, exp_award_natl_value INTEGER, exp_award_percentile INTEGER, ft_pct REAL, fte_value INTEGER, fte_percentile INTEGER, med_sat_value TEXT, med_sat_percentile TEXT, aid_value INTEGER, aid_percentile INTEGER, endow_value TEXT, endow_percentile TEXT, grad_100_value REAL, grad_100_percentile INTEGER, grad_150_value REAL, grad_150_percentile INTEGER, pell_value REAL, pell_percentile INTEGER, retain_value REAL, retain_percentile INTEGER, ft_fac_value REAL, ft_fac_percentile INTEGER, vsa_year TEXT, vsa_grad_after4_first TEXT, vsa_grad_elsewhere_after4_first TEXT, vsa_enroll_after4_first TEXT, vsa_enroll_elsewhere_after4_first TEXT, vsa_grad_after6_first TEXT, vsa_grad_elsewhere_after6_first TEXT, vsa_enroll_after6_first TEXT, vsa_enroll_elsewhere_after6_first TEXT, vsa_grad_after4_transfer TEXT, vsa_grad_elsewhere_after4_transfer TEXT, vsa_enroll_after4_transfer TEXT, vsa_enroll_elsewhere_after4_transfer TEXT, vsa_grad_after6_transfer TEXT, vsa_grad_elsewhere_after6_transfer TEXT, vsa_enroll_after6_transfer TEXT, vsa_enroll_elsewhere_after6_transfer TEXT, similar TEXT, state_sector_ct INTEGER, carnegie_ct INTEGER, counted_pct TEXT, nicknames TEXT, cohort_size INTEGER ) /* 1 example row: SELECT * FROM institution_details LIMIT 1; unitid || chronname || city || state || level ||control || basic ||hbcu ||flagship || long_x || lat_y || site ||student_count ||awards_per_value ||awards_per_state_value ||awards_per_natl_value ||exp_award_value ||exp_award_state_value ||exp_award_natl_value ||exp_award_percentile ||ft_pct ||fte_value ||fte_percentile ||med_sat_value ||med_sat_percentile ||aid_value ||aid_percentile ||endow_value ||endow_percentile ||grad_100_value ||grad_100_percentile ||grad_150_value ||grad_150_percentile ||pell_value ||pell_percentile ||retain_value ||retain_percentile ||ft_fac_value ||ft_fac_percentile ||vsa_year ||vsa_grad_after4_first ||vsa_grad_elsewhere_after4_first ||vsa_enroll_after4_first ||vsa_enroll_elsewhere_after4_first ||vsa_grad_after6_first ||vsa_grad_elsewhere_after6_first ||vsa_enroll_after6_first ||vsa_enroll_elsewhere_after6_first ||vsa_grad_after4_transfer ||vsa_grad_elsewhere_after4_transfer ||vsa_enroll_after4_transfer ||vsa_enroll_elsewhere_after4_transfer ||vsa_grad_after6_transfer ||vsa_grad_elsewhere_after6_transfer ||vsa_enroll_after6_transfer ||vsa_enroll_elsewhere_after6_transfer || similar ||state_sector_ct ||carnegie_ct ||counted_pct ||nicknames ||cohort_size 100654 ||Alabama A&M University ||Normal ||Alabama ||4-year || Public ||Masters Colleges and Universities--larger programs || X || NULL ||-86.568502 ||34.783368 ||www.aamu.edu/ || 4051 || 14.2 || 18.8 || 21.5 || 105331 || 75743 || 66436 || 90 || 93.8 || 3906 || 33 || 823 || 0 || 7142 || 72 || NULL || NULL || 10.0 || 15 || 29.1 || 14 || 71.2 || 98 || 63.1 || 17 || 82.8 || 89 || 2010 || 14.7 || 2 || 36.5 || 16.1 || 33 || 5.3 || 12.5 || 14.6 || 15.7 || 1.5 || 40.9 || 17.2 || 36.4 || 5.6 || 17.2 || 11.1 ||232937|100724|405997|113607|139533|144005|228501|101480|131876|144759|419509|176479|243197|228529|372222|228431|206695|139366|159993|224147 || 13 || 386 || 99.7|07 || NULL || 882 */ /* column definitions { "unitid": "unique Education Unit ID number", "chronname": "Institution name", "city": "Institution city", "state": "Institution state", "level": "Level of institution", "control": "Control of institution", "basic": "Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version)", "hbcu": "Denotes Historically Black College and Universities", "flagship": "Denotes Public flagship institutions", "long_x": "Institution longitude", "lat_y": "Institution latitude", "site": "Institution Web site address", "student_count": "Total number of undergraduates in 2010", "awards_per_value": "Completions per 100 FTE (full-time equivalency) undergraduate students (average 2011, 2012, and 2013)", "awards_per_state_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, national sector average", "exp_award_value": "Estimated educational spending per academic award in 2013. Includes all certificates and degrees", "exp_award_state_value": "Spending per completion, state and sector average", "exp_award_natl_value": "Spending per completion, national sector average", "exp_award_percentile": "", "ft_pct": "Percentage of undergraduates who attend full-time", "fte_value": "total number of full-time equivalent undergraduates", "fte_percentile": "", "med_sat_value": "Median estimated SAT value for incoming students", "med_sat_percentile": "Institution's percent rank for median SAT value within sector", "aid_value": "The average amount of student aid going to undergraduate recipients", "aid_percentile": "Institution's percent rank for average amount of student aid going to undergraduate recipients within sector", "endow_value": "End-of-year endowment value per full-time equivalent student", "endow_percentile": "Institution's percent rank for endowment value per full-time equivalent student within sector", "grad_100_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_100_percentile": "Institution's percent rank for completers within 100 percent of normal time within sector", "grad_150_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_150_percentile": "Institution's percent rank for completers within 150 percent of normal time within sector", "pell_value": "percentage of undergraduates receiving a Pell Grant", "pell_percentile": "Institution's percent rank for undergraduate Pell recipients within sector", "retain_value": "share of freshman students retained for a second year", "retain_percentile": "Institution's percent rank for freshman retention percentage within sector", "ft_fac_value": "Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school", "ft_fac_percentile": "Institution's percent rank for full-time faculty share within sector ", "vsa_year": "Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability", "vsa_grad_after4_first": "First-time, full-time students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_first": "First-time, full-time students who graduated from another institution within four years", "vsa_enroll_after4_first": "First-time, full-time students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_first": "First-time, full-time students who are enrolled at another institution after four years", "vsa_grad_after6_first": "First-time, full-time students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_first": "First-time, full-time students who graduated from another institution within six years", "vsa_enroll_after6_first": "First-time, full-time students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_first": "First-time, full-time students who are enrolled at another institution after six years", "vsa_grad_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_enroll_after4_transfer": "Full-time transfer students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_transfer": "Full-time transfer students who are enrolled at another institution after four years", "vsa_grad_after6_transfer": "Full-time transfer students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_transfer": "Full-time transfer students who graduated from another institution within six years", "vsa_enroll_after6_transfer": "Full-time transfer students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_transfer": "Full-time transfer students who are enrolled at another institution after six years", "similar": "", "state_sector_ct": "", "carnegie_ct": "", "counted_pct": "", "nicknames": "", "cohort_size": "" }*/ CREATE TABLE institution_grads ( unitid INTEGER, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, foreign key (unitid) references institution_details(unitid) ) /* 1 example row: SELECT * FROM institution_grads LIMIT 1; unitid ||year ||gender ||race ||cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate 100760 ||2011 || B || X ||2y all || 446 || 73 || 105 || 16.4 || 23.5 */ /* column definitions { "unitid": "Education Unit ID number", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time" }*/ CREATE TABLE state_sector_grads ( stateid INTEGER, state TEXT, state_abbr TEXT, control TEXT, level TEXT, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, grad_cohort_ct INTEGER, foreign key (state) references institution_details(state), foreign key (stateid) references state_sector_details(stateid) ) /* 1 example row: SELECT * FROM state_sector_grads LIMIT 1; stateid || state ||state_abbr || control || level ||year ||gender ||race || cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate ||grad_cohort_ct 1 ||Alabama || AL ||Private for-profit ||4-year ||2011 || B || A ||4y bach || 0 || 0 || 0 || NULL || NULL || 9 */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_abbr": "", "control": "", "level": "Level of institution", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time", "grad_cohort_ct": "Number of institutions with data included in the cohort" }*/ CREATE TABLE "state_sector_details" ( stateid INTEGER, state TEXT references institution_details (state), state_post TEXT, level TEXT, control TEXT, schools_count INTEGER, counted_pct TEXT, awards_per_state_value TEXT, awards_per_natl_value REAL, exp_award_state_value TEXT, exp_award_natl_value INTEGER, state_appr_value TEXT, state_appr_rank TEXT, grad_rate_rank TEXT, awards_per_rank TEXT, primary key (stateid, level, control) ) /* 1 example row: SELECT * FROM state_sector_details LIMIT 1; stateid || state ||state_post || level ||control ||schools_count ||counted_pct ||awards_per_state_value ||awards_per_natl_value ||exp_award_state_value ||exp_award_natl_value ||state_appr_value ||state_appr_rank ||grad_rate_rank ||awards_per_rank 0 ||United States || U.S. ||4-year || Public || 632 || NULL || NULL || 21.5 || NULL || 66436 || NULL || NULL || 23 || NULL */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_post": "", "level": "Level of institution", "control": "", "schools_count": "", "counted_pct": "Percentage of students in the entering class (Fall 2007 at 4-year institutions, Fall 2010 at 2-year institutions) who are first-time, full-time, degree-seeking students and generally part of the official graduation rate", "awards_per_state_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, national sector average", "exp_award_state_value": "Spending per completion, state and sector average ", "exp_award_natl_value": "Spending per completion, national sector average", "state_appr_value": "State appropriations to higher education in fiscal year 2011 per resident", "state_appr_rank": "", "grad_rate_rank": "", "awards_per_rank": "" }*/
3,703
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE institution_details ( unitid INTEGER constraint institution_details_pk primary key, chronname TEXT, city TEXT, state TEXT, level TEXT, control TEXT, basic TEXT, hbcu TEXT, flagship TEXT, long_x REAL, lat_y REAL, site TEXT, student_count INTEGER, awards_per_value REAL, awards_per_state_value REAL, awards_per_natl_value REAL, exp_award_value INTEGER, exp_award_state_value INTEGER, exp_award_natl_value INTEGER, exp_award_percentile INTEGER, ft_pct REAL, fte_value INTEGER, fte_percentile INTEGER, med_sat_value TEXT, med_sat_percentile TEXT, aid_value INTEGER, aid_percentile INTEGER, endow_value TEXT, endow_percentile TEXT, grad_100_value REAL, grad_100_percentile INTEGER, grad_150_value REAL, grad_150_percentile INTEGER, pell_value REAL, pell_percentile INTEGER, retain_value REAL, retain_percentile INTEGER, ft_fac_value REAL, ft_fac_percentile INTEGER, vsa_year TEXT, vsa_grad_after4_first TEXT, vsa_grad_elsewhere_after4_first TEXT, vsa_enroll_after4_first TEXT, vsa_enroll_elsewhere_after4_first TEXT, vsa_grad_after6_first TEXT, vsa_grad_elsewhere_after6_first TEXT, vsa_enroll_after6_first TEXT, vsa_enroll_elsewhere_after6_first TEXT, vsa_grad_after4_transfer TEXT, vsa_grad_elsewhere_after4_transfer TEXT, vsa_enroll_after4_transfer TEXT, vsa_enroll_elsewhere_after4_transfer TEXT, vsa_grad_after6_transfer TEXT, vsa_grad_elsewhere_after6_transfer TEXT, vsa_enroll_after6_transfer TEXT, vsa_enroll_elsewhere_after6_transfer TEXT, similar TEXT, state_sector_ct INTEGER, carnegie_ct INTEGER, counted_pct TEXT, nicknames TEXT, cohort_size INTEGER ) /* 1 example row: SELECT * FROM institution_details LIMIT 1; unitid || chronname || city || state || level ||control || basic ||hbcu ||flagship || long_x || lat_y || site ||student_count ||awards_per_value ||awards_per_state_value ||awards_per_natl_value ||exp_award_value ||exp_award_state_value ||exp_award_natl_value ||exp_award_percentile ||ft_pct ||fte_value ||fte_percentile ||med_sat_value ||med_sat_percentile ||aid_value ||aid_percentile ||endow_value ||endow_percentile ||grad_100_value ||grad_100_percentile ||grad_150_value ||grad_150_percentile ||pell_value ||pell_percentile ||retain_value ||retain_percentile ||ft_fac_value ||ft_fac_percentile ||vsa_year ||vsa_grad_after4_first ||vsa_grad_elsewhere_after4_first ||vsa_enroll_after4_first ||vsa_enroll_elsewhere_after4_first ||vsa_grad_after6_first ||vsa_grad_elsewhere_after6_first ||vsa_enroll_after6_first ||vsa_enroll_elsewhere_after6_first ||vsa_grad_after4_transfer ||vsa_grad_elsewhere_after4_transfer ||vsa_enroll_after4_transfer ||vsa_enroll_elsewhere_after4_transfer ||vsa_grad_after6_transfer ||vsa_grad_elsewhere_after6_transfer ||vsa_enroll_after6_transfer ||vsa_enroll_elsewhere_after6_transfer || similar ||state_sector_ct ||carnegie_ct ||counted_pct ||nicknames ||cohort_size 100654 ||Alabama A&M University ||Normal ||Alabama ||4-year || Public ||Masters Colleges and Universities--larger programs || X || NULL ||-86.568502 ||34.783368 ||www.aamu.edu/ || 4051 || 14.2 || 18.8 || 21.5 || 105331 || 75743 || 66436 || 90 || 93.8 || 3906 || 33 || 823 || 0 || 7142 || 72 || NULL || NULL || 10.0 || 15 || 29.1 || 14 || 71.2 || 98 || 63.1 || 17 || 82.8 || 89 || 2010 || 14.7 || 2 || 36.5 || 16.1 || 33 || 5.3 || 12.5 || 14.6 || 15.7 || 1.5 || 40.9 || 17.2 || 36.4 || 5.6 || 17.2 || 11.1 ||232937|100724|405997|113607|139533|144005|228501|101480|131876|144759|419509|176479|243197|228529|372222|228431|206695|139366|159993|224147 || 13 || 386 || 99.7|07 || NULL || 882 */ /* column definitions { "unitid": "unique Education Unit ID number", "chronname": "Institution name", "city": "Institution city", "state": "Institution state", "level": "Level of institution", "control": "Control of institution", "basic": "Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version)", "hbcu": "Denotes Historically Black College and Universities", "flagship": "Denotes Public flagship institutions", "long_x": "Institution longitude", "lat_y": "Institution latitude", "site": "Institution Web site address", "student_count": "Total number of undergraduates in 2010", "awards_per_value": "Completions per 100 FTE (full-time equivalency) undergraduate students (average 2011, 2012, and 2013)", "awards_per_state_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, national sector average", "exp_award_value": "Estimated educational spending per academic award in 2013. Includes all certificates and degrees", "exp_award_state_value": "Spending per completion, state and sector average", "exp_award_natl_value": "Spending per completion, national sector average", "exp_award_percentile": "", "ft_pct": "Percentage of undergraduates who attend full-time", "fte_value": "total number of full-time equivalent undergraduates", "fte_percentile": "", "med_sat_value": "Median estimated SAT value for incoming students", "med_sat_percentile": "Institution's percent rank for median SAT value within sector", "aid_value": "The average amount of student aid going to undergraduate recipients", "aid_percentile": "Institution's percent rank for average amount of student aid going to undergraduate recipients within sector", "endow_value": "End-of-year endowment value per full-time equivalent student", "endow_percentile": "Institution's percent rank for endowment value per full-time equivalent student within sector", "grad_100_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_100_percentile": "Institution's percent rank for completers within 100 percent of normal time within sector", "grad_150_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_150_percentile": "Institution's percent rank for completers within 150 percent of normal time within sector", "pell_value": "percentage of undergraduates receiving a Pell Grant", "pell_percentile": "Institution's percent rank for undergraduate Pell recipients within sector", "retain_value": "share of freshman students retained for a second year", "retain_percentile": "Institution's percent rank for freshman retention percentage within sector", "ft_fac_value": "Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school", "ft_fac_percentile": "Institution's percent rank for full-time faculty share within sector ", "vsa_year": "Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability", "vsa_grad_after4_first": "First-time, full-time students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_first": "First-time, full-time students who graduated from another institution within four years", "vsa_enroll_after4_first": "First-time, full-time students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_first": "First-time, full-time students who are enrolled at another institution after four years", "vsa_grad_after6_first": "First-time, full-time students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_first": "First-time, full-time students who graduated from another institution within six years", "vsa_enroll_after6_first": "First-time, full-time students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_first": "First-time, full-time students who are enrolled at another institution after six years", "vsa_grad_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_enroll_after4_transfer": "Full-time transfer students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_transfer": "Full-time transfer students who are enrolled at another institution after four years", "vsa_grad_after6_transfer": "Full-time transfer students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_transfer": "Full-time transfer students who graduated from another institution within six years", "vsa_enroll_after6_transfer": "Full-time transfer students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_transfer": "Full-time transfer students who are enrolled at another institution after six years", "similar": "", "state_sector_ct": "", "carnegie_ct": "", "counted_pct": "", "nicknames": "", "cohort_size": "" }*/ CREATE TABLE institution_grads ( unitid INTEGER, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, foreign key (unitid) references institution_details(unitid) ) /* 1 example row: SELECT * FROM institution_grads LIMIT 1; unitid ||year ||gender ||race ||cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate 100760 ||2011 || B || X ||2y all || 446 || 73 || 105 || 16.4 || 23.5 */ /* column definitions { "unitid": "Education Unit ID number", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time" }*/ CREATE TABLE state_sector_grads ( stateid INTEGER, state TEXT, state_abbr TEXT, control TEXT, level TEXT, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, grad_cohort_ct INTEGER, foreign key (state) references institution_details(state), foreign key (stateid) references state_sector_details(stateid) ) /* 1 example row: SELECT * FROM state_sector_grads LIMIT 1; stateid || state ||state_abbr || control || level ||year ||gender ||race || cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate ||grad_cohort_ct 1 ||Alabama || AL ||Private for-profit ||4-year ||2011 || B || A ||4y bach || 0 || 0 || 0 || NULL || NULL || 9 */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_abbr": "", "control": "", "level": "Level of institution", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time", "grad_cohort_ct": "Number of institutions with data included in the cohort" }*/ CREATE TABLE "state_sector_details" ( stateid INTEGER, state TEXT references institution_details (state), state_post TEXT, level TEXT, control TEXT, schools_count INTEGER, counted_pct TEXT, awards_per_state_value TEXT, awards_per_natl_value REAL, exp_award_state_value TEXT, exp_award_natl_value INTEGER, state_appr_value TEXT, state_appr_rank TEXT, grad_rate_rank TEXT, awards_per_rank TEXT, primary key (stateid, level, control) ) /* 1 example row: SELECT * FROM state_sector_details LIMIT 1; stateid || state ||state_post || level ||control ||schools_count ||counted_pct ||awards_per_state_value ||awards_per_natl_value ||exp_award_state_value ||exp_award_natl_value ||state_appr_value ||state_appr_rank ||grad_rate_rank ||awards_per_rank 0 ||United States || U.S. ||4-year || Public || 632 || NULL || NULL || 21.5 || NULL || 66436 || NULL || NULL || 23 || NULL */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_post": "", "level": "Level of institution", "control": "", "schools_count": "", "counted_pct": "Percentage of students in the entering class (Fall 2007 at 4-year institutions, Fall 2010 at 2-year institutions) who are first-time, full-time, degree-seeking students and generally part of the official graduation rate", "awards_per_state_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, national sector average", "exp_award_state_value": "Spending per completion, state and sector average ", "exp_award_natl_value": "Spending per completion, national sector average", "state_appr_value": "State appropriations to higher education in fiscal year 2011 per resident", "state_appr_rank": "", "grad_rate_rank": "", "awards_per_rank": "" }*/ ### Question Which institute has the highest percentage of male White students graduating in 2011 within 150 percent of normal/expected time? Clarification: male refers to gender = 'M'; white refers to race = 'w'; in 2011 refers to year = 2011; graduating within 150 percent of normal/expected time refers to grad_150;
[query_database(**{'query': 'SELECT T1.chronname FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T2.year = 2011 AND T2.gender = 'M' AND T2.race = 'W' AND T2.grad_150 = ( SELECT MAX(T2.grad_150) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T2.year = 2011 AND T2.gender = 'M' AND T2.race = 'W' )'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE institution_details ( unitid INTEGER constraint institution_details_pk primary key, chronname TEXT, city TEXT, state TEXT, level TEXT, control TEXT, basic TEXT, hbcu TEXT, flagship TEXT, long_x REAL, lat_y REAL, site TEXT, student_count INTEGER, awards_per_value REAL, awards_per_state_value REAL, awards_per_natl_value REAL, exp_award_value INTEGER, exp_award_state_value INTEGER, exp_award_natl_value INTEGER, exp_award_percentile INTEGER, ft_pct REAL, fte_value INTEGER, fte_percentile INTEGER, med_sat_value TEXT, med_sat_percentile TEXT, aid_value INTEGER, aid_percentile INTEGER, endow_value TEXT, endow_percentile TEXT, grad_100_value REAL, grad_100_percentile INTEGER, grad_150_value REAL, grad_150_percentile INTEGER, pell_value REAL, pell_percentile INTEGER, retain_value REAL, retain_percentile INTEGER, ft_fac_value REAL, ft_fac_percentile INTEGER, vsa_year TEXT, vsa_grad_after4_first TEXT, vsa_grad_elsewhere_after4_first TEXT, vsa_enroll_after4_first TEXT, vsa_enroll_elsewhere_after4_first TEXT, vsa_grad_after6_first TEXT, vsa_grad_elsewhere_after6_first TEXT, vsa_enroll_after6_first TEXT, vsa_enroll_elsewhere_after6_first TEXT, vsa_grad_after4_transfer TEXT, vsa_grad_elsewhere_after4_transfer TEXT, vsa_enroll_after4_transfer TEXT, vsa_enroll_elsewhere_after4_transfer TEXT, vsa_grad_after6_transfer TEXT, vsa_grad_elsewhere_after6_transfer TEXT, vsa_enroll_after6_transfer TEXT, vsa_enroll_elsewhere_after6_transfer TEXT, similar TEXT, state_sector_ct INTEGER, carnegie_ct INTEGER, counted_pct TEXT, nicknames TEXT, cohort_size INTEGER ) /* 1 example row: SELECT * FROM institution_details LIMIT 1; unitid || chronname || city || state || level ||control || basic ||hbcu ||flagship || long_x || lat_y || site ||student_count ||awards_per_value ||awards_per_state_value ||awards_per_natl_value ||exp_award_value ||exp_award_state_value ||exp_award_natl_value ||exp_award_percentile ||ft_pct ||fte_value ||fte_percentile ||med_sat_value ||med_sat_percentile ||aid_value ||aid_percentile ||endow_value ||endow_percentile ||grad_100_value ||grad_100_percentile ||grad_150_value ||grad_150_percentile ||pell_value ||pell_percentile ||retain_value ||retain_percentile ||ft_fac_value ||ft_fac_percentile ||vsa_year ||vsa_grad_after4_first ||vsa_grad_elsewhere_after4_first ||vsa_enroll_after4_first ||vsa_enroll_elsewhere_after4_first ||vsa_grad_after6_first ||vsa_grad_elsewhere_after6_first ||vsa_enroll_after6_first ||vsa_enroll_elsewhere_after6_first ||vsa_grad_after4_transfer ||vsa_grad_elsewhere_after4_transfer ||vsa_enroll_after4_transfer ||vsa_enroll_elsewhere_after4_transfer ||vsa_grad_after6_transfer ||vsa_grad_elsewhere_after6_transfer ||vsa_enroll_after6_transfer ||vsa_enroll_elsewhere_after6_transfer || similar ||state_sector_ct ||carnegie_ct ||counted_pct ||nicknames ||cohort_size 100654 ||Alabama A&M University ||Normal ||Alabama ||4-year || Public ||Masters Colleges and Universities--larger programs || X || NULL ||-86.568502 ||34.783368 ||www.aamu.edu/ || 4051 || 14.2 || 18.8 || 21.5 || 105331 || 75743 || 66436 || 90 || 93.8 || 3906 || 33 || 823 || 0 || 7142 || 72 || NULL || NULL || 10.0 || 15 || 29.1 || 14 || 71.2 || 98 || 63.1 || 17 || 82.8 || 89 || 2010 || 14.7 || 2 || 36.5 || 16.1 || 33 || 5.3 || 12.5 || 14.6 || 15.7 || 1.5 || 40.9 || 17.2 || 36.4 || 5.6 || 17.2 || 11.1 ||232937|100724|405997|113607|139533|144005|228501|101480|131876|144759|419509|176479|243197|228529|372222|228431|206695|139366|159993|224147 || 13 || 386 || 99.7|07 || NULL || 882 */ /* column definitions { "unitid": "unique Education Unit ID number", "chronname": "Institution name", "city": "Institution city", "state": "Institution state", "level": "Level of institution", "control": "Control of institution", "basic": "Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version)", "hbcu": "Denotes Historically Black College and Universities", "flagship": "Denotes Public flagship institutions", "long_x": "Institution longitude", "lat_y": "Institution latitude", "site": "Institution Web site address", "student_count": "Total number of undergraduates in 2010", "awards_per_value": "Completions per 100 FTE (full-time equivalency) undergraduate students (average 2011, 2012, and 2013)", "awards_per_state_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, national sector average", "exp_award_value": "Estimated educational spending per academic award in 2013. Includes all certificates and degrees", "exp_award_state_value": "Spending per completion, state and sector average", "exp_award_natl_value": "Spending per completion, national sector average", "exp_award_percentile": "", "ft_pct": "Percentage of undergraduates who attend full-time", "fte_value": "total number of full-time equivalent undergraduates", "fte_percentile": "", "med_sat_value": "Median estimated SAT value for incoming students", "med_sat_percentile": "Institution's percent rank for median SAT value within sector", "aid_value": "The average amount of student aid going to undergraduate recipients", "aid_percentile": "Institution's percent rank for average amount of student aid going to undergraduate recipients within sector", "endow_value": "End-of-year endowment value per full-time equivalent student", "endow_percentile": "Institution's percent rank for endowment value per full-time equivalent student within sector", "grad_100_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_100_percentile": "Institution's percent rank for completers within 100 percent of normal time within sector", "grad_150_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_150_percentile": "Institution's percent rank for completers within 150 percent of normal time within sector", "pell_value": "percentage of undergraduates receiving a Pell Grant", "pell_percentile": "Institution's percent rank for undergraduate Pell recipients within sector", "retain_value": "share of freshman students retained for a second year", "retain_percentile": "Institution's percent rank for freshman retention percentage within sector", "ft_fac_value": "Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school", "ft_fac_percentile": "Institution's percent rank for full-time faculty share within sector ", "vsa_year": "Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability", "vsa_grad_after4_first": "First-time, full-time students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_first": "First-time, full-time students who graduated from another institution within four years", "vsa_enroll_after4_first": "First-time, full-time students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_first": "First-time, full-time students who are enrolled at another institution after four years", "vsa_grad_after6_first": "First-time, full-time students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_first": "First-time, full-time students who graduated from another institution within six years", "vsa_enroll_after6_first": "First-time, full-time students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_first": "First-time, full-time students who are enrolled at another institution after six years", "vsa_grad_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_enroll_after4_transfer": "Full-time transfer students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_transfer": "Full-time transfer students who are enrolled at another institution after four years", "vsa_grad_after6_transfer": "Full-time transfer students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_transfer": "Full-time transfer students who graduated from another institution within six years", "vsa_enroll_after6_transfer": "Full-time transfer students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_transfer": "Full-time transfer students who are enrolled at another institution after six years", "similar": "", "state_sector_ct": "", "carnegie_ct": "", "counted_pct": "", "nicknames": "", "cohort_size": "" }*/ CREATE TABLE institution_grads ( unitid INTEGER, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, foreign key (unitid) references institution_details(unitid) ) /* 1 example row: SELECT * FROM institution_grads LIMIT 1; unitid ||year ||gender ||race ||cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate 100760 ||2011 || B || X ||2y all || 446 || 73 || 105 || 16.4 || 23.5 */ /* column definitions { "unitid": "Education Unit ID number", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time" }*/ CREATE TABLE state_sector_grads ( stateid INTEGER, state TEXT, state_abbr TEXT, control TEXT, level TEXT, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, grad_cohort_ct INTEGER, foreign key (state) references institution_details(state), foreign key (stateid) references state_sector_details(stateid) ) /* 1 example row: SELECT * FROM state_sector_grads LIMIT 1; stateid || state ||state_abbr || control || level ||year ||gender ||race || cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate ||grad_cohort_ct 1 ||Alabama || AL ||Private for-profit ||4-year ||2011 || B || A ||4y bach || 0 || 0 || 0 || NULL || NULL || 9 */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_abbr": "", "control": "", "level": "Level of institution", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time", "grad_cohort_ct": "Number of institutions with data included in the cohort" }*/ CREATE TABLE "state_sector_details" ( stateid INTEGER, state TEXT references institution_details (state), state_post TEXT, level TEXT, control TEXT, schools_count INTEGER, counted_pct TEXT, awards_per_state_value TEXT, awards_per_natl_value REAL, exp_award_state_value TEXT, exp_award_natl_value INTEGER, state_appr_value TEXT, state_appr_rank TEXT, grad_rate_rank TEXT, awards_per_rank TEXT, primary key (stateid, level, control) ) /* 1 example row: SELECT * FROM state_sector_details LIMIT 1; stateid || state ||state_post || level ||control ||schools_count ||counted_pct ||awards_per_state_value ||awards_per_natl_value ||exp_award_state_value ||exp_award_natl_value ||state_appr_value ||state_appr_rank ||grad_rate_rank ||awards_per_rank 0 ||United States || U.S. ||4-year || Public || 632 || NULL || NULL || 21.5 || NULL || 66436 || NULL || NULL || 23 || NULL */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_post": "", "level": "Level of institution", "control": "", "schools_count": "", "counted_pct": "Percentage of students in the entering class (Fall 2007 at 4-year institutions, Fall 2010 at 2-year institutions) who are first-time, full-time, degree-seeking students and generally part of the official graduation rate", "awards_per_state_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, national sector average", "exp_award_state_value": "Spending per completion, state and sector average ", "exp_award_natl_value": "Spending per completion, national sector average", "state_appr_value": "State appropriations to higher education in fiscal year 2011 per resident", "state_appr_rank": "", "grad_rate_rank": "", "awards_per_rank": "" }*/
3,707
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE institution_details ( unitid INTEGER constraint institution_details_pk primary key, chronname TEXT, city TEXT, state TEXT, level TEXT, control TEXT, basic TEXT, hbcu TEXT, flagship TEXT, long_x REAL, lat_y REAL, site TEXT, student_count INTEGER, awards_per_value REAL, awards_per_state_value REAL, awards_per_natl_value REAL, exp_award_value INTEGER, exp_award_state_value INTEGER, exp_award_natl_value INTEGER, exp_award_percentile INTEGER, ft_pct REAL, fte_value INTEGER, fte_percentile INTEGER, med_sat_value TEXT, med_sat_percentile TEXT, aid_value INTEGER, aid_percentile INTEGER, endow_value TEXT, endow_percentile TEXT, grad_100_value REAL, grad_100_percentile INTEGER, grad_150_value REAL, grad_150_percentile INTEGER, pell_value REAL, pell_percentile INTEGER, retain_value REAL, retain_percentile INTEGER, ft_fac_value REAL, ft_fac_percentile INTEGER, vsa_year TEXT, vsa_grad_after4_first TEXT, vsa_grad_elsewhere_after4_first TEXT, vsa_enroll_after4_first TEXT, vsa_enroll_elsewhere_after4_first TEXT, vsa_grad_after6_first TEXT, vsa_grad_elsewhere_after6_first TEXT, vsa_enroll_after6_first TEXT, vsa_enroll_elsewhere_after6_first TEXT, vsa_grad_after4_transfer TEXT, vsa_grad_elsewhere_after4_transfer TEXT, vsa_enroll_after4_transfer TEXT, vsa_enroll_elsewhere_after4_transfer TEXT, vsa_grad_after6_transfer TEXT, vsa_grad_elsewhere_after6_transfer TEXT, vsa_enroll_after6_transfer TEXT, vsa_enroll_elsewhere_after6_transfer TEXT, similar TEXT, state_sector_ct INTEGER, carnegie_ct INTEGER, counted_pct TEXT, nicknames TEXT, cohort_size INTEGER ) /* 1 example row: SELECT * FROM institution_details LIMIT 1; unitid || chronname || city || state || level ||control || basic ||hbcu ||flagship || long_x || lat_y || site ||student_count ||awards_per_value ||awards_per_state_value ||awards_per_natl_value ||exp_award_value ||exp_award_state_value ||exp_award_natl_value ||exp_award_percentile ||ft_pct ||fte_value ||fte_percentile ||med_sat_value ||med_sat_percentile ||aid_value ||aid_percentile ||endow_value ||endow_percentile ||grad_100_value ||grad_100_percentile ||grad_150_value ||grad_150_percentile ||pell_value ||pell_percentile ||retain_value ||retain_percentile ||ft_fac_value ||ft_fac_percentile ||vsa_year ||vsa_grad_after4_first ||vsa_grad_elsewhere_after4_first ||vsa_enroll_after4_first ||vsa_enroll_elsewhere_after4_first ||vsa_grad_after6_first ||vsa_grad_elsewhere_after6_first ||vsa_enroll_after6_first ||vsa_enroll_elsewhere_after6_first ||vsa_grad_after4_transfer ||vsa_grad_elsewhere_after4_transfer ||vsa_enroll_after4_transfer ||vsa_enroll_elsewhere_after4_transfer ||vsa_grad_after6_transfer ||vsa_grad_elsewhere_after6_transfer ||vsa_enroll_after6_transfer ||vsa_enroll_elsewhere_after6_transfer || similar ||state_sector_ct ||carnegie_ct ||counted_pct ||nicknames ||cohort_size 100654 ||Alabama A&M University ||Normal ||Alabama ||4-year || Public ||Masters Colleges and Universities--larger programs || X || NULL ||-86.568502 ||34.783368 ||www.aamu.edu/ || 4051 || 14.2 || 18.8 || 21.5 || 105331 || 75743 || 66436 || 90 || 93.8 || 3906 || 33 || 823 || 0 || 7142 || 72 || NULL || NULL || 10.0 || 15 || 29.1 || 14 || 71.2 || 98 || 63.1 || 17 || 82.8 || 89 || 2010 || 14.7 || 2 || 36.5 || 16.1 || 33 || 5.3 || 12.5 || 14.6 || 15.7 || 1.5 || 40.9 || 17.2 || 36.4 || 5.6 || 17.2 || 11.1 ||232937|100724|405997|113607|139533|144005|228501|101480|131876|144759|419509|176479|243197|228529|372222|228431|206695|139366|159993|224147 || 13 || 386 || 99.7|07 || NULL || 882 */ /* column definitions { "unitid": "unique Education Unit ID number", "chronname": "Institution name", "city": "Institution city", "state": "Institution state", "level": "Level of institution", "control": "Control of institution", "basic": "Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version)", "hbcu": "Denotes Historically Black College and Universities", "flagship": "Denotes Public flagship institutions", "long_x": "Institution longitude", "lat_y": "Institution latitude", "site": "Institution Web site address", "student_count": "Total number of undergraduates in 2010", "awards_per_value": "Completions per 100 FTE (full-time equivalency) undergraduate students (average 2011, 2012, and 2013)", "awards_per_state_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, national sector average", "exp_award_value": "Estimated educational spending per academic award in 2013. Includes all certificates and degrees", "exp_award_state_value": "Spending per completion, state and sector average", "exp_award_natl_value": "Spending per completion, national sector average", "exp_award_percentile": "", "ft_pct": "Percentage of undergraduates who attend full-time", "fte_value": "total number of full-time equivalent undergraduates", "fte_percentile": "", "med_sat_value": "Median estimated SAT value for incoming students", "med_sat_percentile": "Institution's percent rank for median SAT value within sector", "aid_value": "The average amount of student aid going to undergraduate recipients", "aid_percentile": "Institution's percent rank for average amount of student aid going to undergraduate recipients within sector", "endow_value": "End-of-year endowment value per full-time equivalent student", "endow_percentile": "Institution's percent rank for endowment value per full-time equivalent student within sector", "grad_100_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_100_percentile": "Institution's percent rank for completers within 100 percent of normal time within sector", "grad_150_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_150_percentile": "Institution's percent rank for completers within 150 percent of normal time within sector", "pell_value": "percentage of undergraduates receiving a Pell Grant", "pell_percentile": "Institution's percent rank for undergraduate Pell recipients within sector", "retain_value": "share of freshman students retained for a second year", "retain_percentile": "Institution's percent rank for freshman retention percentage within sector", "ft_fac_value": "Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school", "ft_fac_percentile": "Institution's percent rank for full-time faculty share within sector ", "vsa_year": "Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability", "vsa_grad_after4_first": "First-time, full-time students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_first": "First-time, full-time students who graduated from another institution within four years", "vsa_enroll_after4_first": "First-time, full-time students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_first": "First-time, full-time students who are enrolled at another institution after four years", "vsa_grad_after6_first": "First-time, full-time students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_first": "First-time, full-time students who graduated from another institution within six years", "vsa_enroll_after6_first": "First-time, full-time students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_first": "First-time, full-time students who are enrolled at another institution after six years", "vsa_grad_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_enroll_after4_transfer": "Full-time transfer students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_transfer": "Full-time transfer students who are enrolled at another institution after four years", "vsa_grad_after6_transfer": "Full-time transfer students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_transfer": "Full-time transfer students who graduated from another institution within six years", "vsa_enroll_after6_transfer": "Full-time transfer students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_transfer": "Full-time transfer students who are enrolled at another institution after six years", "similar": "", "state_sector_ct": "", "carnegie_ct": "", "counted_pct": "", "nicknames": "", "cohort_size": "" }*/ CREATE TABLE institution_grads ( unitid INTEGER, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, foreign key (unitid) references institution_details(unitid) ) /* 1 example row: SELECT * FROM institution_grads LIMIT 1; unitid ||year ||gender ||race ||cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate 100760 ||2011 || B || X ||2y all || 446 || 73 || 105 || 16.4 || 23.5 */ /* column definitions { "unitid": "Education Unit ID number", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time" }*/ CREATE TABLE state_sector_grads ( stateid INTEGER, state TEXT, state_abbr TEXT, control TEXT, level TEXT, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, grad_cohort_ct INTEGER, foreign key (state) references institution_details(state), foreign key (stateid) references state_sector_details(stateid) ) /* 1 example row: SELECT * FROM state_sector_grads LIMIT 1; stateid || state ||state_abbr || control || level ||year ||gender ||race || cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate ||grad_cohort_ct 1 ||Alabama || AL ||Private for-profit ||4-year ||2011 || B || A ||4y bach || 0 || 0 || 0 || NULL || NULL || 9 */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_abbr": "", "control": "", "level": "Level of institution", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time", "grad_cohort_ct": "Number of institutions with data included in the cohort" }*/ CREATE TABLE "state_sector_details" ( stateid INTEGER, state TEXT references institution_details (state), state_post TEXT, level TEXT, control TEXT, schools_count INTEGER, counted_pct TEXT, awards_per_state_value TEXT, awards_per_natl_value REAL, exp_award_state_value TEXT, exp_award_natl_value INTEGER, state_appr_value TEXT, state_appr_rank TEXT, grad_rate_rank TEXT, awards_per_rank TEXT, primary key (stateid, level, control) ) /* 1 example row: SELECT * FROM state_sector_details LIMIT 1; stateid || state ||state_post || level ||control ||schools_count ||counted_pct ||awards_per_state_value ||awards_per_natl_value ||exp_award_state_value ||exp_award_natl_value ||state_appr_value ||state_appr_rank ||grad_rate_rank ||awards_per_rank 0 ||United States || U.S. ||4-year || Public || 632 || NULL || NULL || 21.5 || NULL || 66436 || NULL || NULL || 23 || NULL */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_post": "", "level": "Level of institution", "control": "", "schools_count": "", "counted_pct": "Percentage of students in the entering class (Fall 2007 at 4-year institutions, Fall 2010 at 2-year institutions) who are first-time, full-time, degree-seeking students and generally part of the official graduation rate", "awards_per_state_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, national sector average", "exp_award_state_value": "Spending per completion, state and sector average ", "exp_award_natl_value": "Spending per completion, national sector average", "state_appr_value": "State appropriations to higher education in fiscal year 2011 per resident", "state_appr_rank": "", "grad_rate_rank": "", "awards_per_rank": "" }*/ ### Question Among the institutes in the state of Alabama whose percent rank for median SAT value within sector is 77, how many of them have over 500 graduates in total in 2011? Clarification: percent rank for median SAT value within sector refers to med_sat_percentile; over 500 graduates refers to grad_cohort > 500; in 2011 refers to year = 2011;
[query_database(**{'query': 'SELECT COUNT(DISTINCT T1.chronname) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.state = 'Alabama' AND T1.med_sat_percentile = '100' AND T2.year = 2011 AND T2.grad_cohort > 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 institution_details ( unitid INTEGER constraint institution_details_pk primary key, chronname TEXT, city TEXT, state TEXT, level TEXT, control TEXT, basic TEXT, hbcu TEXT, flagship TEXT, long_x REAL, lat_y REAL, site TEXT, student_count INTEGER, awards_per_value REAL, awards_per_state_value REAL, awards_per_natl_value REAL, exp_award_value INTEGER, exp_award_state_value INTEGER, exp_award_natl_value INTEGER, exp_award_percentile INTEGER, ft_pct REAL, fte_value INTEGER, fte_percentile INTEGER, med_sat_value TEXT, med_sat_percentile TEXT, aid_value INTEGER, aid_percentile INTEGER, endow_value TEXT, endow_percentile TEXT, grad_100_value REAL, grad_100_percentile INTEGER, grad_150_value REAL, grad_150_percentile INTEGER, pell_value REAL, pell_percentile INTEGER, retain_value REAL, retain_percentile INTEGER, ft_fac_value REAL, ft_fac_percentile INTEGER, vsa_year TEXT, vsa_grad_after4_first TEXT, vsa_grad_elsewhere_after4_first TEXT, vsa_enroll_after4_first TEXT, vsa_enroll_elsewhere_after4_first TEXT, vsa_grad_after6_first TEXT, vsa_grad_elsewhere_after6_first TEXT, vsa_enroll_after6_first TEXT, vsa_enroll_elsewhere_after6_first TEXT, vsa_grad_after4_transfer TEXT, vsa_grad_elsewhere_after4_transfer TEXT, vsa_enroll_after4_transfer TEXT, vsa_enroll_elsewhere_after4_transfer TEXT, vsa_grad_after6_transfer TEXT, vsa_grad_elsewhere_after6_transfer TEXT, vsa_enroll_after6_transfer TEXT, vsa_enroll_elsewhere_after6_transfer TEXT, similar TEXT, state_sector_ct INTEGER, carnegie_ct INTEGER, counted_pct TEXT, nicknames TEXT, cohort_size INTEGER ) /* 1 example row: SELECT * FROM institution_details LIMIT 1; unitid || chronname || city || state || level ||control || basic ||hbcu ||flagship || long_x || lat_y || site ||student_count ||awards_per_value ||awards_per_state_value ||awards_per_natl_value ||exp_award_value ||exp_award_state_value ||exp_award_natl_value ||exp_award_percentile ||ft_pct ||fte_value ||fte_percentile ||med_sat_value ||med_sat_percentile ||aid_value ||aid_percentile ||endow_value ||endow_percentile ||grad_100_value ||grad_100_percentile ||grad_150_value ||grad_150_percentile ||pell_value ||pell_percentile ||retain_value ||retain_percentile ||ft_fac_value ||ft_fac_percentile ||vsa_year ||vsa_grad_after4_first ||vsa_grad_elsewhere_after4_first ||vsa_enroll_after4_first ||vsa_enroll_elsewhere_after4_first ||vsa_grad_after6_first ||vsa_grad_elsewhere_after6_first ||vsa_enroll_after6_first ||vsa_enroll_elsewhere_after6_first ||vsa_grad_after4_transfer ||vsa_grad_elsewhere_after4_transfer ||vsa_enroll_after4_transfer ||vsa_enroll_elsewhere_after4_transfer ||vsa_grad_after6_transfer ||vsa_grad_elsewhere_after6_transfer ||vsa_enroll_after6_transfer ||vsa_enroll_elsewhere_after6_transfer || similar ||state_sector_ct ||carnegie_ct ||counted_pct ||nicknames ||cohort_size 100654 ||Alabama A&M University ||Normal ||Alabama ||4-year || Public ||Masters Colleges and Universities--larger programs || X || NULL ||-86.568502 ||34.783368 ||www.aamu.edu/ || 4051 || 14.2 || 18.8 || 21.5 || 105331 || 75743 || 66436 || 90 || 93.8 || 3906 || 33 || 823 || 0 || 7142 || 72 || NULL || NULL || 10.0 || 15 || 29.1 || 14 || 71.2 || 98 || 63.1 || 17 || 82.8 || 89 || 2010 || 14.7 || 2 || 36.5 || 16.1 || 33 || 5.3 || 12.5 || 14.6 || 15.7 || 1.5 || 40.9 || 17.2 || 36.4 || 5.6 || 17.2 || 11.1 ||232937|100724|405997|113607|139533|144005|228501|101480|131876|144759|419509|176479|243197|228529|372222|228431|206695|139366|159993|224147 || 13 || 386 || 99.7|07 || NULL || 882 */ /* column definitions { "unitid": "unique Education Unit ID number", "chronname": "Institution name", "city": "Institution city", "state": "Institution state", "level": "Level of institution", "control": "Control of institution", "basic": "Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version)", "hbcu": "Denotes Historically Black College and Universities", "flagship": "Denotes Public flagship institutions", "long_x": "Institution longitude", "lat_y": "Institution latitude", "site": "Institution Web site address", "student_count": "Total number of undergraduates in 2010", "awards_per_value": "Completions per 100 FTE (full-time equivalency) undergraduate students (average 2011, 2012, and 2013)", "awards_per_state_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, national sector average", "exp_award_value": "Estimated educational spending per academic award in 2013. Includes all certificates and degrees", "exp_award_state_value": "Spending per completion, state and sector average", "exp_award_natl_value": "Spending per completion, national sector average", "exp_award_percentile": "", "ft_pct": "Percentage of undergraduates who attend full-time", "fte_value": "total number of full-time equivalent undergraduates", "fte_percentile": "", "med_sat_value": "Median estimated SAT value for incoming students", "med_sat_percentile": "Institution's percent rank for median SAT value within sector", "aid_value": "The average amount of student aid going to undergraduate recipients", "aid_percentile": "Institution's percent rank for average amount of student aid going to undergraduate recipients within sector", "endow_value": "End-of-year endowment value per full-time equivalent student", "endow_percentile": "Institution's percent rank for endowment value per full-time equivalent student within sector", "grad_100_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_100_percentile": "Institution's percent rank for completers within 100 percent of normal time within sector", "grad_150_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_150_percentile": "Institution's percent rank for completers within 150 percent of normal time within sector", "pell_value": "percentage of undergraduates receiving a Pell Grant", "pell_percentile": "Institution's percent rank for undergraduate Pell recipients within sector", "retain_value": "share of freshman students retained for a second year", "retain_percentile": "Institution's percent rank for freshman retention percentage within sector", "ft_fac_value": "Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school", "ft_fac_percentile": "Institution's percent rank for full-time faculty share within sector ", "vsa_year": "Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability", "vsa_grad_after4_first": "First-time, full-time students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_first": "First-time, full-time students who graduated from another institution within four years", "vsa_enroll_after4_first": "First-time, full-time students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_first": "First-time, full-time students who are enrolled at another institution after four years", "vsa_grad_after6_first": "First-time, full-time students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_first": "First-time, full-time students who graduated from another institution within six years", "vsa_enroll_after6_first": "First-time, full-time students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_first": "First-time, full-time students who are enrolled at another institution after six years", "vsa_grad_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_enroll_after4_transfer": "Full-time transfer students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_transfer": "Full-time transfer students who are enrolled at another institution after four years", "vsa_grad_after6_transfer": "Full-time transfer students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_transfer": "Full-time transfer students who graduated from another institution within six years", "vsa_enroll_after6_transfer": "Full-time transfer students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_transfer": "Full-time transfer students who are enrolled at another institution after six years", "similar": "", "state_sector_ct": "", "carnegie_ct": "", "counted_pct": "", "nicknames": "", "cohort_size": "" }*/ CREATE TABLE institution_grads ( unitid INTEGER, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, foreign key (unitid) references institution_details(unitid) ) /* 1 example row: SELECT * FROM institution_grads LIMIT 1; unitid ||year ||gender ||race ||cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate 100760 ||2011 || B || X ||2y all || 446 || 73 || 105 || 16.4 || 23.5 */ /* column definitions { "unitid": "Education Unit ID number", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time" }*/ CREATE TABLE state_sector_grads ( stateid INTEGER, state TEXT, state_abbr TEXT, control TEXT, level TEXT, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, grad_cohort_ct INTEGER, foreign key (state) references institution_details(state), foreign key (stateid) references state_sector_details(stateid) ) /* 1 example row: SELECT * FROM state_sector_grads LIMIT 1; stateid || state ||state_abbr || control || level ||year ||gender ||race || cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate ||grad_cohort_ct 1 ||Alabama || AL ||Private for-profit ||4-year ||2011 || B || A ||4y bach || 0 || 0 || 0 || NULL || NULL || 9 */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_abbr": "", "control": "", "level": "Level of institution", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time", "grad_cohort_ct": "Number of institutions with data included in the cohort" }*/ CREATE TABLE "state_sector_details" ( stateid INTEGER, state TEXT references institution_details (state), state_post TEXT, level TEXT, control TEXT, schools_count INTEGER, counted_pct TEXT, awards_per_state_value TEXT, awards_per_natl_value REAL, exp_award_state_value TEXT, exp_award_natl_value INTEGER, state_appr_value TEXT, state_appr_rank TEXT, grad_rate_rank TEXT, awards_per_rank TEXT, primary key (stateid, level, control) ) /* 1 example row: SELECT * FROM state_sector_details LIMIT 1; stateid || state ||state_post || level ||control ||schools_count ||counted_pct ||awards_per_state_value ||awards_per_natl_value ||exp_award_state_value ||exp_award_natl_value ||state_appr_value ||state_appr_rank ||grad_rate_rank ||awards_per_rank 0 ||United States || U.S. ||4-year || Public || 632 || NULL || NULL || 21.5 || NULL || 66436 || NULL || NULL || 23 || NULL */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_post": "", "level": "Level of institution", "control": "", "schools_count": "", "counted_pct": "Percentage of students in the entering class (Fall 2007 at 4-year institutions, Fall 2010 at 2-year institutions) who are first-time, full-time, degree-seeking students and generally part of the official graduation rate", "awards_per_state_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, national sector average", "exp_award_state_value": "Spending per completion, state and sector average ", "exp_award_natl_value": "Spending per completion, national sector average", "state_appr_value": "State appropriations to higher education in fiscal year 2011 per resident", "state_appr_rank": "", "grad_rate_rank": "", "awards_per_rank": "" }*/
3,711
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE institution_details ( unitid INTEGER constraint institution_details_pk primary key, chronname TEXT, city TEXT, state TEXT, level TEXT, control TEXT, basic TEXT, hbcu TEXT, flagship TEXT, long_x REAL, lat_y REAL, site TEXT, student_count INTEGER, awards_per_value REAL, awards_per_state_value REAL, awards_per_natl_value REAL, exp_award_value INTEGER, exp_award_state_value INTEGER, exp_award_natl_value INTEGER, exp_award_percentile INTEGER, ft_pct REAL, fte_value INTEGER, fte_percentile INTEGER, med_sat_value TEXT, med_sat_percentile TEXT, aid_value INTEGER, aid_percentile INTEGER, endow_value TEXT, endow_percentile TEXT, grad_100_value REAL, grad_100_percentile INTEGER, grad_150_value REAL, grad_150_percentile INTEGER, pell_value REAL, pell_percentile INTEGER, retain_value REAL, retain_percentile INTEGER, ft_fac_value REAL, ft_fac_percentile INTEGER, vsa_year TEXT, vsa_grad_after4_first TEXT, vsa_grad_elsewhere_after4_first TEXT, vsa_enroll_after4_first TEXT, vsa_enroll_elsewhere_after4_first TEXT, vsa_grad_after6_first TEXT, vsa_grad_elsewhere_after6_first TEXT, vsa_enroll_after6_first TEXT, vsa_enroll_elsewhere_after6_first TEXT, vsa_grad_after4_transfer TEXT, vsa_grad_elsewhere_after4_transfer TEXT, vsa_enroll_after4_transfer TEXT, vsa_enroll_elsewhere_after4_transfer TEXT, vsa_grad_after6_transfer TEXT, vsa_grad_elsewhere_after6_transfer TEXT, vsa_enroll_after6_transfer TEXT, vsa_enroll_elsewhere_after6_transfer TEXT, similar TEXT, state_sector_ct INTEGER, carnegie_ct INTEGER, counted_pct TEXT, nicknames TEXT, cohort_size INTEGER ) /* 1 example row: SELECT * FROM institution_details LIMIT 1; unitid || chronname || city || state || level ||control || basic ||hbcu ||flagship || long_x || lat_y || site ||student_count ||awards_per_value ||awards_per_state_value ||awards_per_natl_value ||exp_award_value ||exp_award_state_value ||exp_award_natl_value ||exp_award_percentile ||ft_pct ||fte_value ||fte_percentile ||med_sat_value ||med_sat_percentile ||aid_value ||aid_percentile ||endow_value ||endow_percentile ||grad_100_value ||grad_100_percentile ||grad_150_value ||grad_150_percentile ||pell_value ||pell_percentile ||retain_value ||retain_percentile ||ft_fac_value ||ft_fac_percentile ||vsa_year ||vsa_grad_after4_first ||vsa_grad_elsewhere_after4_first ||vsa_enroll_after4_first ||vsa_enroll_elsewhere_after4_first ||vsa_grad_after6_first ||vsa_grad_elsewhere_after6_first ||vsa_enroll_after6_first ||vsa_enroll_elsewhere_after6_first ||vsa_grad_after4_transfer ||vsa_grad_elsewhere_after4_transfer ||vsa_enroll_after4_transfer ||vsa_enroll_elsewhere_after4_transfer ||vsa_grad_after6_transfer ||vsa_grad_elsewhere_after6_transfer ||vsa_enroll_after6_transfer ||vsa_enroll_elsewhere_after6_transfer || similar ||state_sector_ct ||carnegie_ct ||counted_pct ||nicknames ||cohort_size 100654 ||Alabama A&M University ||Normal ||Alabama ||4-year || Public ||Masters Colleges and Universities--larger programs || X || NULL ||-86.568502 ||34.783368 ||www.aamu.edu/ || 4051 || 14.2 || 18.8 || 21.5 || 105331 || 75743 || 66436 || 90 || 93.8 || 3906 || 33 || 823 || 0 || 7142 || 72 || NULL || NULL || 10.0 || 15 || 29.1 || 14 || 71.2 || 98 || 63.1 || 17 || 82.8 || 89 || 2010 || 14.7 || 2 || 36.5 || 16.1 || 33 || 5.3 || 12.5 || 14.6 || 15.7 || 1.5 || 40.9 || 17.2 || 36.4 || 5.6 || 17.2 || 11.1 ||232937|100724|405997|113607|139533|144005|228501|101480|131876|144759|419509|176479|243197|228529|372222|228431|206695|139366|159993|224147 || 13 || 386 || 99.7|07 || NULL || 882 */ /* column definitions { "unitid": "unique Education Unit ID number", "chronname": "Institution name", "city": "Institution city", "state": "Institution state", "level": "Level of institution", "control": "Control of institution", "basic": "Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version)", "hbcu": "Denotes Historically Black College and Universities", "flagship": "Denotes Public flagship institutions", "long_x": "Institution longitude", "lat_y": "Institution latitude", "site": "Institution Web site address", "student_count": "Total number of undergraduates in 2010", "awards_per_value": "Completions per 100 FTE (full-time equivalency) undergraduate students (average 2011, 2012, and 2013)", "awards_per_state_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, national sector average", "exp_award_value": "Estimated educational spending per academic award in 2013. Includes all certificates and degrees", "exp_award_state_value": "Spending per completion, state and sector average", "exp_award_natl_value": "Spending per completion, national sector average", "exp_award_percentile": "", "ft_pct": "Percentage of undergraduates who attend full-time", "fte_value": "total number of full-time equivalent undergraduates", "fte_percentile": "", "med_sat_value": "Median estimated SAT value for incoming students", "med_sat_percentile": "Institution's percent rank for median SAT value within sector", "aid_value": "The average amount of student aid going to undergraduate recipients", "aid_percentile": "Institution's percent rank for average amount of student aid going to undergraduate recipients within sector", "endow_value": "End-of-year endowment value per full-time equivalent student", "endow_percentile": "Institution's percent rank for endowment value per full-time equivalent student within sector", "grad_100_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_100_percentile": "Institution's percent rank for completers within 100 percent of normal time within sector", "grad_150_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_150_percentile": "Institution's percent rank for completers within 150 percent of normal time within sector", "pell_value": "percentage of undergraduates receiving a Pell Grant", "pell_percentile": "Institution's percent rank for undergraduate Pell recipients within sector", "retain_value": "share of freshman students retained for a second year", "retain_percentile": "Institution's percent rank for freshman retention percentage within sector", "ft_fac_value": "Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school", "ft_fac_percentile": "Institution's percent rank for full-time faculty share within sector ", "vsa_year": "Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability", "vsa_grad_after4_first": "First-time, full-time students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_first": "First-time, full-time students who graduated from another institution within four years", "vsa_enroll_after4_first": "First-time, full-time students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_first": "First-time, full-time students who are enrolled at another institution after four years", "vsa_grad_after6_first": "First-time, full-time students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_first": "First-time, full-time students who graduated from another institution within six years", "vsa_enroll_after6_first": "First-time, full-time students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_first": "First-time, full-time students who are enrolled at another institution after six years", "vsa_grad_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_enroll_after4_transfer": "Full-time transfer students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_transfer": "Full-time transfer students who are enrolled at another institution after four years", "vsa_grad_after6_transfer": "Full-time transfer students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_transfer": "Full-time transfer students who graduated from another institution within six years", "vsa_enroll_after6_transfer": "Full-time transfer students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_transfer": "Full-time transfer students who are enrolled at another institution after six years", "similar": "", "state_sector_ct": "", "carnegie_ct": "", "counted_pct": "", "nicknames": "", "cohort_size": "" }*/ CREATE TABLE institution_grads ( unitid INTEGER, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, foreign key (unitid) references institution_details(unitid) ) /* 1 example row: SELECT * FROM institution_grads LIMIT 1; unitid ||year ||gender ||race ||cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate 100760 ||2011 || B || X ||2y all || 446 || 73 || 105 || 16.4 || 23.5 */ /* column definitions { "unitid": "Education Unit ID number", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time" }*/ CREATE TABLE state_sector_grads ( stateid INTEGER, state TEXT, state_abbr TEXT, control TEXT, level TEXT, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, grad_cohort_ct INTEGER, foreign key (state) references institution_details(state), foreign key (stateid) references state_sector_details(stateid) ) /* 1 example row: SELECT * FROM state_sector_grads LIMIT 1; stateid || state ||state_abbr || control || level ||year ||gender ||race || cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate ||grad_cohort_ct 1 ||Alabama || AL ||Private for-profit ||4-year ||2011 || B || A ||4y bach || 0 || 0 || 0 || NULL || NULL || 9 */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_abbr": "", "control": "", "level": "Level of institution", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time", "grad_cohort_ct": "Number of institutions with data included in the cohort" }*/ CREATE TABLE "state_sector_details" ( stateid INTEGER, state TEXT references institution_details (state), state_post TEXT, level TEXT, control TEXT, schools_count INTEGER, counted_pct TEXT, awards_per_state_value TEXT, awards_per_natl_value REAL, exp_award_state_value TEXT, exp_award_natl_value INTEGER, state_appr_value TEXT, state_appr_rank TEXT, grad_rate_rank TEXT, awards_per_rank TEXT, primary key (stateid, level, control) ) /* 1 example row: SELECT * FROM state_sector_details LIMIT 1; stateid || state ||state_post || level ||control ||schools_count ||counted_pct ||awards_per_state_value ||awards_per_natl_value ||exp_award_state_value ||exp_award_natl_value ||state_appr_value ||state_appr_rank ||grad_rate_rank ||awards_per_rank 0 ||United States || U.S. ||4-year || Public || 632 || NULL || NULL || 21.5 || NULL || 66436 || NULL || NULL || 23 || NULL */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_post": "", "level": "Level of institution", "control": "", "schools_count": "", "counted_pct": "Percentage of students in the entering class (Fall 2007 at 4-year institutions, Fall 2010 at 2-year institutions) who are first-time, full-time, degree-seeking students and generally part of the official graduation rate", "awards_per_state_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, national sector average", "exp_award_state_value": "Spending per completion, state and sector average ", "exp_award_natl_value": "Spending per completion, national sector average", "state_appr_value": "State appropriations to higher education in fiscal year 2011 per resident", "state_appr_rank": "", "grad_rate_rank": "", "awards_per_rank": "" }*/ ### Question What is the average percentage of students graduating within 100 percent of normal/expected time for Central Alabama Community College? Clarification: average = DIVIDE(SUM(grad_100_rate), (SUM(grad_100), SUM(grad_150))); percentage of students graduating within 100 percent of normal/expected time refers to grade_100_rate; Central Alabama Community College refers to chronname = 'Central Alabama Community College';
[query_database(**{'query': 'SELECT AVG(T2.grad_100_rate) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.chronname = 'Central Alabama Community College''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE institution_details ( unitid INTEGER constraint institution_details_pk primary key, chronname TEXT, city TEXT, state TEXT, level TEXT, control TEXT, basic TEXT, hbcu TEXT, flagship TEXT, long_x REAL, lat_y REAL, site TEXT, student_count INTEGER, awards_per_value REAL, awards_per_state_value REAL, awards_per_natl_value REAL, exp_award_value INTEGER, exp_award_state_value INTEGER, exp_award_natl_value INTEGER, exp_award_percentile INTEGER, ft_pct REAL, fte_value INTEGER, fte_percentile INTEGER, med_sat_value TEXT, med_sat_percentile TEXT, aid_value INTEGER, aid_percentile INTEGER, endow_value TEXT, endow_percentile TEXT, grad_100_value REAL, grad_100_percentile INTEGER, grad_150_value REAL, grad_150_percentile INTEGER, pell_value REAL, pell_percentile INTEGER, retain_value REAL, retain_percentile INTEGER, ft_fac_value REAL, ft_fac_percentile INTEGER, vsa_year TEXT, vsa_grad_after4_first TEXT, vsa_grad_elsewhere_after4_first TEXT, vsa_enroll_after4_first TEXT, vsa_enroll_elsewhere_after4_first TEXT, vsa_grad_after6_first TEXT, vsa_grad_elsewhere_after6_first TEXT, vsa_enroll_after6_first TEXT, vsa_enroll_elsewhere_after6_first TEXT, vsa_grad_after4_transfer TEXT, vsa_grad_elsewhere_after4_transfer TEXT, vsa_enroll_after4_transfer TEXT, vsa_enroll_elsewhere_after4_transfer TEXT, vsa_grad_after6_transfer TEXT, vsa_grad_elsewhere_after6_transfer TEXT, vsa_enroll_after6_transfer TEXT, vsa_enroll_elsewhere_after6_transfer TEXT, similar TEXT, state_sector_ct INTEGER, carnegie_ct INTEGER, counted_pct TEXT, nicknames TEXT, cohort_size INTEGER ) /* 1 example row: SELECT * FROM institution_details LIMIT 1; unitid || chronname || city || state || level ||control || basic ||hbcu ||flagship || long_x || lat_y || site ||student_count ||awards_per_value ||awards_per_state_value ||awards_per_natl_value ||exp_award_value ||exp_award_state_value ||exp_award_natl_value ||exp_award_percentile ||ft_pct ||fte_value ||fte_percentile ||med_sat_value ||med_sat_percentile ||aid_value ||aid_percentile ||endow_value ||endow_percentile ||grad_100_value ||grad_100_percentile ||grad_150_value ||grad_150_percentile ||pell_value ||pell_percentile ||retain_value ||retain_percentile ||ft_fac_value ||ft_fac_percentile ||vsa_year ||vsa_grad_after4_first ||vsa_grad_elsewhere_after4_first ||vsa_enroll_after4_first ||vsa_enroll_elsewhere_after4_first ||vsa_grad_after6_first ||vsa_grad_elsewhere_after6_first ||vsa_enroll_after6_first ||vsa_enroll_elsewhere_after6_first ||vsa_grad_after4_transfer ||vsa_grad_elsewhere_after4_transfer ||vsa_enroll_after4_transfer ||vsa_enroll_elsewhere_after4_transfer ||vsa_grad_after6_transfer ||vsa_grad_elsewhere_after6_transfer ||vsa_enroll_after6_transfer ||vsa_enroll_elsewhere_after6_transfer || similar ||state_sector_ct ||carnegie_ct ||counted_pct ||nicknames ||cohort_size 100654 ||Alabama A&M University ||Normal ||Alabama ||4-year || Public ||Masters Colleges and Universities--larger programs || X || NULL ||-86.568502 ||34.783368 ||www.aamu.edu/ || 4051 || 14.2 || 18.8 || 21.5 || 105331 || 75743 || 66436 || 90 || 93.8 || 3906 || 33 || 823 || 0 || 7142 || 72 || NULL || NULL || 10.0 || 15 || 29.1 || 14 || 71.2 || 98 || 63.1 || 17 || 82.8 || 89 || 2010 || 14.7 || 2 || 36.5 || 16.1 || 33 || 5.3 || 12.5 || 14.6 || 15.7 || 1.5 || 40.9 || 17.2 || 36.4 || 5.6 || 17.2 || 11.1 ||232937|100724|405997|113607|139533|144005|228501|101480|131876|144759|419509|176479|243197|228529|372222|228431|206695|139366|159993|224147 || 13 || 386 || 99.7|07 || NULL || 882 */ /* column definitions { "unitid": "unique Education Unit ID number", "chronname": "Institution name", "city": "Institution city", "state": "Institution state", "level": "Level of institution", "control": "Control of institution", "basic": "Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version)", "hbcu": "Denotes Historically Black College and Universities", "flagship": "Denotes Public flagship institutions", "long_x": "Institution longitude", "lat_y": "Institution latitude", "site": "Institution Web site address", "student_count": "Total number of undergraduates in 2010", "awards_per_value": "Completions per 100 FTE (full-time equivalency) undergraduate students (average 2011, 2012, and 2013)", "awards_per_state_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, national sector average", "exp_award_value": "Estimated educational spending per academic award in 2013. Includes all certificates and degrees", "exp_award_state_value": "Spending per completion, state and sector average", "exp_award_natl_value": "Spending per completion, national sector average", "exp_award_percentile": "", "ft_pct": "Percentage of undergraduates who attend full-time", "fte_value": "total number of full-time equivalent undergraduates", "fte_percentile": "", "med_sat_value": "Median estimated SAT value for incoming students", "med_sat_percentile": "Institution's percent rank for median SAT value within sector", "aid_value": "The average amount of student aid going to undergraduate recipients", "aid_percentile": "Institution's percent rank for average amount of student aid going to undergraduate recipients within sector", "endow_value": "End-of-year endowment value per full-time equivalent student", "endow_percentile": "Institution's percent rank for endowment value per full-time equivalent student within sector", "grad_100_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_100_percentile": "Institution's percent rank for completers within 100 percent of normal time within sector", "grad_150_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_150_percentile": "Institution's percent rank for completers within 150 percent of normal time within sector", "pell_value": "percentage of undergraduates receiving a Pell Grant", "pell_percentile": "Institution's percent rank for undergraduate Pell recipients within sector", "retain_value": "share of freshman students retained for a second year", "retain_percentile": "Institution's percent rank for freshman retention percentage within sector", "ft_fac_value": "Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school", "ft_fac_percentile": "Institution's percent rank for full-time faculty share within sector ", "vsa_year": "Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability", "vsa_grad_after4_first": "First-time, full-time students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_first": "First-time, full-time students who graduated from another institution within four years", "vsa_enroll_after4_first": "First-time, full-time students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_first": "First-time, full-time students who are enrolled at another institution after four years", "vsa_grad_after6_first": "First-time, full-time students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_first": "First-time, full-time students who graduated from another institution within six years", "vsa_enroll_after6_first": "First-time, full-time students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_first": "First-time, full-time students who are enrolled at another institution after six years", "vsa_grad_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_enroll_after4_transfer": "Full-time transfer students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_transfer": "Full-time transfer students who are enrolled at another institution after four years", "vsa_grad_after6_transfer": "Full-time transfer students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_transfer": "Full-time transfer students who graduated from another institution within six years", "vsa_enroll_after6_transfer": "Full-time transfer students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_transfer": "Full-time transfer students who are enrolled at another institution after six years", "similar": "", "state_sector_ct": "", "carnegie_ct": "", "counted_pct": "", "nicknames": "", "cohort_size": "" }*/ CREATE TABLE institution_grads ( unitid INTEGER, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, foreign key (unitid) references institution_details(unitid) ) /* 1 example row: SELECT * FROM institution_grads LIMIT 1; unitid ||year ||gender ||race ||cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate 100760 ||2011 || B || X ||2y all || 446 || 73 || 105 || 16.4 || 23.5 */ /* column definitions { "unitid": "Education Unit ID number", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time" }*/ CREATE TABLE state_sector_grads ( stateid INTEGER, state TEXT, state_abbr TEXT, control TEXT, level TEXT, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, grad_cohort_ct INTEGER, foreign key (state) references institution_details(state), foreign key (stateid) references state_sector_details(stateid) ) /* 1 example row: SELECT * FROM state_sector_grads LIMIT 1; stateid || state ||state_abbr || control || level ||year ||gender ||race || cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate ||grad_cohort_ct 1 ||Alabama || AL ||Private for-profit ||4-year ||2011 || B || A ||4y bach || 0 || 0 || 0 || NULL || NULL || 9 */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_abbr": "", "control": "", "level": "Level of institution", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time", "grad_cohort_ct": "Number of institutions with data included in the cohort" }*/ CREATE TABLE "state_sector_details" ( stateid INTEGER, state TEXT references institution_details (state), state_post TEXT, level TEXT, control TEXT, schools_count INTEGER, counted_pct TEXT, awards_per_state_value TEXT, awards_per_natl_value REAL, exp_award_state_value TEXT, exp_award_natl_value INTEGER, state_appr_value TEXT, state_appr_rank TEXT, grad_rate_rank TEXT, awards_per_rank TEXT, primary key (stateid, level, control) ) /* 1 example row: SELECT * FROM state_sector_details LIMIT 1; stateid || state ||state_post || level ||control ||schools_count ||counted_pct ||awards_per_state_value ||awards_per_natl_value ||exp_award_state_value ||exp_award_natl_value ||state_appr_value ||state_appr_rank ||grad_rate_rank ||awards_per_rank 0 ||United States || U.S. ||4-year || Public || 632 || NULL || NULL || 21.5 || NULL || 66436 || NULL || NULL || 23 || NULL */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_post": "", "level": "Level of institution", "control": "", "schools_count": "", "counted_pct": "Percentage of students in the entering class (Fall 2007 at 4-year institutions, Fall 2010 at 2-year institutions) who are first-time, full-time, degree-seeking students and generally part of the official graduation rate", "awards_per_state_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, national sector average", "exp_award_state_value": "Spending per completion, state and sector average ", "exp_award_natl_value": "Spending per completion, national sector average", "state_appr_value": "State appropriations to higher education in fiscal year 2011 per resident", "state_appr_rank": "", "grad_rate_rank": "", "awards_per_rank": "" }*/
3,716
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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 institution_details ( unitid INTEGER constraint institution_details_pk primary key, chronname TEXT, city TEXT, state TEXT, level TEXT, control TEXT, basic TEXT, hbcu TEXT, flagship TEXT, long_x REAL, lat_y REAL, site TEXT, student_count INTEGER, awards_per_value REAL, awards_per_state_value REAL, awards_per_natl_value REAL, exp_award_value INTEGER, exp_award_state_value INTEGER, exp_award_natl_value INTEGER, exp_award_percentile INTEGER, ft_pct REAL, fte_value INTEGER, fte_percentile INTEGER, med_sat_value TEXT, med_sat_percentile TEXT, aid_value INTEGER, aid_percentile INTEGER, endow_value TEXT, endow_percentile TEXT, grad_100_value REAL, grad_100_percentile INTEGER, grad_150_value REAL, grad_150_percentile INTEGER, pell_value REAL, pell_percentile INTEGER, retain_value REAL, retain_percentile INTEGER, ft_fac_value REAL, ft_fac_percentile INTEGER, vsa_year TEXT, vsa_grad_after4_first TEXT, vsa_grad_elsewhere_after4_first TEXT, vsa_enroll_after4_first TEXT, vsa_enroll_elsewhere_after4_first TEXT, vsa_grad_after6_first TEXT, vsa_grad_elsewhere_after6_first TEXT, vsa_enroll_after6_first TEXT, vsa_enroll_elsewhere_after6_first TEXT, vsa_grad_after4_transfer TEXT, vsa_grad_elsewhere_after4_transfer TEXT, vsa_enroll_after4_transfer TEXT, vsa_enroll_elsewhere_after4_transfer TEXT, vsa_grad_after6_transfer TEXT, vsa_grad_elsewhere_after6_transfer TEXT, vsa_enroll_after6_transfer TEXT, vsa_enroll_elsewhere_after6_transfer TEXT, similar TEXT, state_sector_ct INTEGER, carnegie_ct INTEGER, counted_pct TEXT, nicknames TEXT, cohort_size INTEGER ) /* 1 example row: SELECT * FROM institution_details LIMIT 1; unitid || chronname || city || state || level ||control || basic ||hbcu ||flagship || long_x || lat_y || site ||student_count ||awards_per_value ||awards_per_state_value ||awards_per_natl_value ||exp_award_value ||exp_award_state_value ||exp_award_natl_value ||exp_award_percentile ||ft_pct ||fte_value ||fte_percentile ||med_sat_value ||med_sat_percentile ||aid_value ||aid_percentile ||endow_value ||endow_percentile ||grad_100_value ||grad_100_percentile ||grad_150_value ||grad_150_percentile ||pell_value ||pell_percentile ||retain_value ||retain_percentile ||ft_fac_value ||ft_fac_percentile ||vsa_year ||vsa_grad_after4_first ||vsa_grad_elsewhere_after4_first ||vsa_enroll_after4_first ||vsa_enroll_elsewhere_after4_first ||vsa_grad_after6_first ||vsa_grad_elsewhere_after6_first ||vsa_enroll_after6_first ||vsa_enroll_elsewhere_after6_first ||vsa_grad_after4_transfer ||vsa_grad_elsewhere_after4_transfer ||vsa_enroll_after4_transfer ||vsa_enroll_elsewhere_after4_transfer ||vsa_grad_after6_transfer ||vsa_grad_elsewhere_after6_transfer ||vsa_enroll_after6_transfer ||vsa_enroll_elsewhere_after6_transfer || similar ||state_sector_ct ||carnegie_ct ||counted_pct ||nicknames ||cohort_size 100654 ||Alabama A&M University ||Normal ||Alabama ||4-year || Public ||Masters Colleges and Universities--larger programs || X || NULL ||-86.568502 ||34.783368 ||www.aamu.edu/ || 4051 || 14.2 || 18.8 || 21.5 || 105331 || 75743 || 66436 || 90 || 93.8 || 3906 || 33 || 823 || 0 || 7142 || 72 || NULL || NULL || 10.0 || 15 || 29.1 || 14 || 71.2 || 98 || 63.1 || 17 || 82.8 || 89 || 2010 || 14.7 || 2 || 36.5 || 16.1 || 33 || 5.3 || 12.5 || 14.6 || 15.7 || 1.5 || 40.9 || 17.2 || 36.4 || 5.6 || 17.2 || 11.1 ||232937|100724|405997|113607|139533|144005|228501|101480|131876|144759|419509|176479|243197|228529|372222|228431|206695|139366|159993|224147 || 13 || 386 || 99.7|07 || NULL || 882 */ /* column definitions { "unitid": "unique Education Unit ID number", "chronname": "Institution name", "city": "Institution city", "state": "Institution state", "level": "Level of institution", "control": "Control of institution", "basic": "Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version)", "hbcu": "Denotes Historically Black College and Universities", "flagship": "Denotes Public flagship institutions", "long_x": "Institution longitude", "lat_y": "Institution latitude", "site": "Institution Web site address", "student_count": "Total number of undergraduates in 2010", "awards_per_value": "Completions per 100 FTE (full-time equivalency) undergraduate students (average 2011, 2012, and 2013)", "awards_per_state_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, national sector average", "exp_award_value": "Estimated educational spending per academic award in 2013. Includes all certificates and degrees", "exp_award_state_value": "Spending per completion, state and sector average", "exp_award_natl_value": "Spending per completion, national sector average", "exp_award_percentile": "", "ft_pct": "Percentage of undergraduates who attend full-time", "fte_value": "total number of full-time equivalent undergraduates", "fte_percentile": "", "med_sat_value": "Median estimated SAT value for incoming students", "med_sat_percentile": "Institution's percent rank for median SAT value within sector", "aid_value": "The average amount of student aid going to undergraduate recipients", "aid_percentile": "Institution's percent rank for average amount of student aid going to undergraduate recipients within sector", "endow_value": "End-of-year endowment value per full-time equivalent student", "endow_percentile": "Institution's percent rank for endowment value per full-time equivalent student within sector", "grad_100_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_100_percentile": "Institution's percent rank for completers within 100 percent of normal time within sector", "grad_150_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_150_percentile": "Institution's percent rank for completers within 150 percent of normal time within sector", "pell_value": "percentage of undergraduates receiving a Pell Grant", "pell_percentile": "Institution's percent rank for undergraduate Pell recipients within sector", "retain_value": "share of freshman students retained for a second year", "retain_percentile": "Institution's percent rank for freshman retention percentage within sector", "ft_fac_value": "Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school", "ft_fac_percentile": "Institution's percent rank for full-time faculty share within sector ", "vsa_year": "Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability", "vsa_grad_after4_first": "First-time, full-time students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_first": "First-time, full-time students who graduated from another institution within four years", "vsa_enroll_after4_first": "First-time, full-time students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_first": "First-time, full-time students who are enrolled at another institution after four years", "vsa_grad_after6_first": "First-time, full-time students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_first": "First-time, full-time students who graduated from another institution within six years", "vsa_enroll_after6_first": "First-time, full-time students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_first": "First-time, full-time students who are enrolled at another institution after six years", "vsa_grad_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_enroll_after4_transfer": "Full-time transfer students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_transfer": "Full-time transfer students who are enrolled at another institution after four years", "vsa_grad_after6_transfer": "Full-time transfer students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_transfer": "Full-time transfer students who graduated from another institution within six years", "vsa_enroll_after6_transfer": "Full-time transfer students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_transfer": "Full-time transfer students who are enrolled at another institution after six years", "similar": "", "state_sector_ct": "", "carnegie_ct": "", "counted_pct": "", "nicknames": "", "cohort_size": "" }*/ CREATE TABLE institution_grads ( unitid INTEGER, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, foreign key (unitid) references institution_details(unitid) ) /* 1 example row: SELECT * FROM institution_grads LIMIT 1; unitid ||year ||gender ||race ||cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate 100760 ||2011 || B || X ||2y all || 446 || 73 || 105 || 16.4 || 23.5 */ /* column definitions { "unitid": "Education Unit ID number", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time" }*/ CREATE TABLE state_sector_grads ( stateid INTEGER, state TEXT, state_abbr TEXT, control TEXT, level TEXT, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, grad_cohort_ct INTEGER, foreign key (state) references institution_details(state), foreign key (stateid) references state_sector_details(stateid) ) /* 1 example row: SELECT * FROM state_sector_grads LIMIT 1; stateid || state ||state_abbr || control || level ||year ||gender ||race || cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate ||grad_cohort_ct 1 ||Alabama || AL ||Private for-profit ||4-year ||2011 || B || A ||4y bach || 0 || 0 || 0 || NULL || NULL || 9 */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_abbr": "", "control": "", "level": "Level of institution", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time", "grad_cohort_ct": "Number of institutions with data included in the cohort" }*/ CREATE TABLE "state_sector_details" ( stateid INTEGER, state TEXT references institution_details (state), state_post TEXT, level TEXT, control TEXT, schools_count INTEGER, counted_pct TEXT, awards_per_state_value TEXT, awards_per_natl_value REAL, exp_award_state_value TEXT, exp_award_natl_value INTEGER, state_appr_value TEXT, state_appr_rank TEXT, grad_rate_rank TEXT, awards_per_rank TEXT, primary key (stateid, level, control) ) /* 1 example row: SELECT * FROM state_sector_details LIMIT 1; stateid || state ||state_post || level ||control ||schools_count ||counted_pct ||awards_per_state_value ||awards_per_natl_value ||exp_award_state_value ||exp_award_natl_value ||state_appr_value ||state_appr_rank ||grad_rate_rank ||awards_per_rank 0 ||United States || U.S. ||4-year || Public || 632 || NULL || NULL || 21.5 || NULL || 66436 || NULL || NULL || 23 || NULL */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_post": "", "level": "Level of institution", "control": "", "schools_count": "", "counted_pct": "Percentage of students in the entering class (Fall 2007 at 4-year institutions, Fall 2010 at 2-year institutions) who are first-time, full-time, degree-seeking students and generally part of the official graduation rate", "awards_per_state_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, national sector average", "exp_award_state_value": "Spending per completion, state and sector average ", "exp_award_natl_value": "Spending per completion, national sector average", "state_appr_value": "State appropriations to higher education in fiscal year 2011 per resident", "state_appr_rank": "", "grad_rate_rank": "", "awards_per_rank": "" }*/ ### Question How many 2-year public schools are there in "California"? Clarification: 2-year refers to level = '2-year'; public refers to control = 'public'; California refers to state = 'California';
[query_database(**{'query': 'SELECT COUNT(stateid) FROM state_sector_details WHERE state = 'California' AND level = '2-year' AND control = 'Public''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE institution_details ( unitid INTEGER constraint institution_details_pk primary key, chronname TEXT, city TEXT, state TEXT, level TEXT, control TEXT, basic TEXT, hbcu TEXT, flagship TEXT, long_x REAL, lat_y REAL, site TEXT, student_count INTEGER, awards_per_value REAL, awards_per_state_value REAL, awards_per_natl_value REAL, exp_award_value INTEGER, exp_award_state_value INTEGER, exp_award_natl_value INTEGER, exp_award_percentile INTEGER, ft_pct REAL, fte_value INTEGER, fte_percentile INTEGER, med_sat_value TEXT, med_sat_percentile TEXT, aid_value INTEGER, aid_percentile INTEGER, endow_value TEXT, endow_percentile TEXT, grad_100_value REAL, grad_100_percentile INTEGER, grad_150_value REAL, grad_150_percentile INTEGER, pell_value REAL, pell_percentile INTEGER, retain_value REAL, retain_percentile INTEGER, ft_fac_value REAL, ft_fac_percentile INTEGER, vsa_year TEXT, vsa_grad_after4_first TEXT, vsa_grad_elsewhere_after4_first TEXT, vsa_enroll_after4_first TEXT, vsa_enroll_elsewhere_after4_first TEXT, vsa_grad_after6_first TEXT, vsa_grad_elsewhere_after6_first TEXT, vsa_enroll_after6_first TEXT, vsa_enroll_elsewhere_after6_first TEXT, vsa_grad_after4_transfer TEXT, vsa_grad_elsewhere_after4_transfer TEXT, vsa_enroll_after4_transfer TEXT, vsa_enroll_elsewhere_after4_transfer TEXT, vsa_grad_after6_transfer TEXT, vsa_grad_elsewhere_after6_transfer TEXT, vsa_enroll_after6_transfer TEXT, vsa_enroll_elsewhere_after6_transfer TEXT, similar TEXT, state_sector_ct INTEGER, carnegie_ct INTEGER, counted_pct TEXT, nicknames TEXT, cohort_size INTEGER ) /* 1 example row: SELECT * FROM institution_details LIMIT 1; unitid || chronname || city || state || level ||control || basic ||hbcu ||flagship || long_x || lat_y || site ||student_count ||awards_per_value ||awards_per_state_value ||awards_per_natl_value ||exp_award_value ||exp_award_state_value ||exp_award_natl_value ||exp_award_percentile ||ft_pct ||fte_value ||fte_percentile ||med_sat_value ||med_sat_percentile ||aid_value ||aid_percentile ||endow_value ||endow_percentile ||grad_100_value ||grad_100_percentile ||grad_150_value ||grad_150_percentile ||pell_value ||pell_percentile ||retain_value ||retain_percentile ||ft_fac_value ||ft_fac_percentile ||vsa_year ||vsa_grad_after4_first ||vsa_grad_elsewhere_after4_first ||vsa_enroll_after4_first ||vsa_enroll_elsewhere_after4_first ||vsa_grad_after6_first ||vsa_grad_elsewhere_after6_first ||vsa_enroll_after6_first ||vsa_enroll_elsewhere_after6_first ||vsa_grad_after4_transfer ||vsa_grad_elsewhere_after4_transfer ||vsa_enroll_after4_transfer ||vsa_enroll_elsewhere_after4_transfer ||vsa_grad_after6_transfer ||vsa_grad_elsewhere_after6_transfer ||vsa_enroll_after6_transfer ||vsa_enroll_elsewhere_after6_transfer || similar ||state_sector_ct ||carnegie_ct ||counted_pct ||nicknames ||cohort_size 100654 ||Alabama A&M University ||Normal ||Alabama ||4-year || Public ||Masters Colleges and Universities--larger programs || X || NULL ||-86.568502 ||34.783368 ||www.aamu.edu/ || 4051 || 14.2 || 18.8 || 21.5 || 105331 || 75743 || 66436 || 90 || 93.8 || 3906 || 33 || 823 || 0 || 7142 || 72 || NULL || NULL || 10.0 || 15 || 29.1 || 14 || 71.2 || 98 || 63.1 || 17 || 82.8 || 89 || 2010 || 14.7 || 2 || 36.5 || 16.1 || 33 || 5.3 || 12.5 || 14.6 || 15.7 || 1.5 || 40.9 || 17.2 || 36.4 || 5.6 || 17.2 || 11.1 ||232937|100724|405997|113607|139533|144005|228501|101480|131876|144759|419509|176479|243197|228529|372222|228431|206695|139366|159993|224147 || 13 || 386 || 99.7|07 || NULL || 882 */ /* column definitions { "unitid": "unique Education Unit ID number", "chronname": "Institution name", "city": "Institution city", "state": "Institution state", "level": "Level of institution", "control": "Control of institution", "basic": "Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version)", "hbcu": "Denotes Historically Black College and Universities", "flagship": "Denotes Public flagship institutions", "long_x": "Institution longitude", "lat_y": "Institution latitude", "site": "Institution Web site address", "student_count": "Total number of undergraduates in 2010", "awards_per_value": "Completions per 100 FTE (full-time equivalency) undergraduate students (average 2011, 2012, and 2013)", "awards_per_state_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, national sector average", "exp_award_value": "Estimated educational spending per academic award in 2013. Includes all certificates and degrees", "exp_award_state_value": "Spending per completion, state and sector average", "exp_award_natl_value": "Spending per completion, national sector average", "exp_award_percentile": "", "ft_pct": "Percentage of undergraduates who attend full-time", "fte_value": "total number of full-time equivalent undergraduates", "fte_percentile": "", "med_sat_value": "Median estimated SAT value for incoming students", "med_sat_percentile": "Institution's percent rank for median SAT value within sector", "aid_value": "The average amount of student aid going to undergraduate recipients", "aid_percentile": "Institution's percent rank for average amount of student aid going to undergraduate recipients within sector", "endow_value": "End-of-year endowment value per full-time equivalent student", "endow_percentile": "Institution's percent rank for endowment value per full-time equivalent student within sector", "grad_100_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_100_percentile": "Institution's percent rank for completers within 100 percent of normal time within sector", "grad_150_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_150_percentile": "Institution's percent rank for completers within 150 percent of normal time within sector", "pell_value": "percentage of undergraduates receiving a Pell Grant", "pell_percentile": "Institution's percent rank for undergraduate Pell recipients within sector", "retain_value": "share of freshman students retained for a second year", "retain_percentile": "Institution's percent rank for freshman retention percentage within sector", "ft_fac_value": "Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school", "ft_fac_percentile": "Institution's percent rank for full-time faculty share within sector ", "vsa_year": "Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability", "vsa_grad_after4_first": "First-time, full-time students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_first": "First-time, full-time students who graduated from another institution within four years", "vsa_enroll_after4_first": "First-time, full-time students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_first": "First-time, full-time students who are enrolled at another institution after four years", "vsa_grad_after6_first": "First-time, full-time students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_first": "First-time, full-time students who graduated from another institution within six years", "vsa_enroll_after6_first": "First-time, full-time students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_first": "First-time, full-time students who are enrolled at another institution after six years", "vsa_grad_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_enroll_after4_transfer": "Full-time transfer students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_transfer": "Full-time transfer students who are enrolled at another institution after four years", "vsa_grad_after6_transfer": "Full-time transfer students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_transfer": "Full-time transfer students who graduated from another institution within six years", "vsa_enroll_after6_transfer": "Full-time transfer students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_transfer": "Full-time transfer students who are enrolled at another institution after six years", "similar": "", "state_sector_ct": "", "carnegie_ct": "", "counted_pct": "", "nicknames": "", "cohort_size": "" }*/ CREATE TABLE institution_grads ( unitid INTEGER, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, foreign key (unitid) references institution_details(unitid) ) /* 1 example row: SELECT * FROM institution_grads LIMIT 1; unitid ||year ||gender ||race ||cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate 100760 ||2011 || B || X ||2y all || 446 || 73 || 105 || 16.4 || 23.5 */ /* column definitions { "unitid": "Education Unit ID number", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time" }*/ CREATE TABLE state_sector_grads ( stateid INTEGER, state TEXT, state_abbr TEXT, control TEXT, level TEXT, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, grad_cohort_ct INTEGER, foreign key (state) references institution_details(state), foreign key (stateid) references state_sector_details(stateid) ) /* 1 example row: SELECT * FROM state_sector_grads LIMIT 1; stateid || state ||state_abbr || control || level ||year ||gender ||race || cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate ||grad_cohort_ct 1 ||Alabama || AL ||Private for-profit ||4-year ||2011 || B || A ||4y bach || 0 || 0 || 0 || NULL || NULL || 9 */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_abbr": "", "control": "", "level": "Level of institution", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time", "grad_cohort_ct": "Number of institutions with data included in the cohort" }*/ CREATE TABLE "state_sector_details" ( stateid INTEGER, state TEXT references institution_details (state), state_post TEXT, level TEXT, control TEXT, schools_count INTEGER, counted_pct TEXT, awards_per_state_value TEXT, awards_per_natl_value REAL, exp_award_state_value TEXT, exp_award_natl_value INTEGER, state_appr_value TEXT, state_appr_rank TEXT, grad_rate_rank TEXT, awards_per_rank TEXT, primary key (stateid, level, control) ) /* 1 example row: SELECT * FROM state_sector_details LIMIT 1; stateid || state ||state_post || level ||control ||schools_count ||counted_pct ||awards_per_state_value ||awards_per_natl_value ||exp_award_state_value ||exp_award_natl_value ||state_appr_value ||state_appr_rank ||grad_rate_rank ||awards_per_rank 0 ||United States || U.S. ||4-year || Public || 632 || NULL || NULL || 21.5 || NULL || 66436 || NULL || NULL || 23 || NULL */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_post": "", "level": "Level of institution", "control": "", "schools_count": "", "counted_pct": "Percentage of students in the entering class (Fall 2007 at 4-year institutions, Fall 2010 at 2-year institutions) who are first-time, full-time, degree-seeking students and generally part of the official graduation rate", "awards_per_state_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, national sector average", "exp_award_state_value": "Spending per completion, state and sector average ", "exp_award_natl_value": "Spending per completion, national sector average", "state_appr_value": "State appropriations to higher education in fiscal year 2011 per resident", "state_appr_rank": "", "grad_rate_rank": "", "awards_per_rank": "" }*/
3,720
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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 institution_details ( unitid INTEGER constraint institution_details_pk primary key, chronname TEXT, city TEXT, state TEXT, level TEXT, control TEXT, basic TEXT, hbcu TEXT, flagship TEXT, long_x REAL, lat_y REAL, site TEXT, student_count INTEGER, awards_per_value REAL, awards_per_state_value REAL, awards_per_natl_value REAL, exp_award_value INTEGER, exp_award_state_value INTEGER, exp_award_natl_value INTEGER, exp_award_percentile INTEGER, ft_pct REAL, fte_value INTEGER, fte_percentile INTEGER, med_sat_value TEXT, med_sat_percentile TEXT, aid_value INTEGER, aid_percentile INTEGER, endow_value TEXT, endow_percentile TEXT, grad_100_value REAL, grad_100_percentile INTEGER, grad_150_value REAL, grad_150_percentile INTEGER, pell_value REAL, pell_percentile INTEGER, retain_value REAL, retain_percentile INTEGER, ft_fac_value REAL, ft_fac_percentile INTEGER, vsa_year TEXT, vsa_grad_after4_first TEXT, vsa_grad_elsewhere_after4_first TEXT, vsa_enroll_after4_first TEXT, vsa_enroll_elsewhere_after4_first TEXT, vsa_grad_after6_first TEXT, vsa_grad_elsewhere_after6_first TEXT, vsa_enroll_after6_first TEXT, vsa_enroll_elsewhere_after6_first TEXT, vsa_grad_after4_transfer TEXT, vsa_grad_elsewhere_after4_transfer TEXT, vsa_enroll_after4_transfer TEXT, vsa_enroll_elsewhere_after4_transfer TEXT, vsa_grad_after6_transfer TEXT, vsa_grad_elsewhere_after6_transfer TEXT, vsa_enroll_after6_transfer TEXT, vsa_enroll_elsewhere_after6_transfer TEXT, similar TEXT, state_sector_ct INTEGER, carnegie_ct INTEGER, counted_pct TEXT, nicknames TEXT, cohort_size INTEGER ) /* 1 example row: SELECT * FROM institution_details LIMIT 1; unitid || chronname || city || state || level ||control || basic ||hbcu ||flagship || long_x || lat_y || site ||student_count ||awards_per_value ||awards_per_state_value ||awards_per_natl_value ||exp_award_value ||exp_award_state_value ||exp_award_natl_value ||exp_award_percentile ||ft_pct ||fte_value ||fte_percentile ||med_sat_value ||med_sat_percentile ||aid_value ||aid_percentile ||endow_value ||endow_percentile ||grad_100_value ||grad_100_percentile ||grad_150_value ||grad_150_percentile ||pell_value ||pell_percentile ||retain_value ||retain_percentile ||ft_fac_value ||ft_fac_percentile ||vsa_year ||vsa_grad_after4_first ||vsa_grad_elsewhere_after4_first ||vsa_enroll_after4_first ||vsa_enroll_elsewhere_after4_first ||vsa_grad_after6_first ||vsa_grad_elsewhere_after6_first ||vsa_enroll_after6_first ||vsa_enroll_elsewhere_after6_first ||vsa_grad_after4_transfer ||vsa_grad_elsewhere_after4_transfer ||vsa_enroll_after4_transfer ||vsa_enroll_elsewhere_after4_transfer ||vsa_grad_after6_transfer ||vsa_grad_elsewhere_after6_transfer ||vsa_enroll_after6_transfer ||vsa_enroll_elsewhere_after6_transfer || similar ||state_sector_ct ||carnegie_ct ||counted_pct ||nicknames ||cohort_size 100654 ||Alabama A&M University ||Normal ||Alabama ||4-year || Public ||Masters Colleges and Universities--larger programs || X || NULL ||-86.568502 ||34.783368 ||www.aamu.edu/ || 4051 || 14.2 || 18.8 || 21.5 || 105331 || 75743 || 66436 || 90 || 93.8 || 3906 || 33 || 823 || 0 || 7142 || 72 || NULL || NULL || 10.0 || 15 || 29.1 || 14 || 71.2 || 98 || 63.1 || 17 || 82.8 || 89 || 2010 || 14.7 || 2 || 36.5 || 16.1 || 33 || 5.3 || 12.5 || 14.6 || 15.7 || 1.5 || 40.9 || 17.2 || 36.4 || 5.6 || 17.2 || 11.1 ||232937|100724|405997|113607|139533|144005|228501|101480|131876|144759|419509|176479|243197|228529|372222|228431|206695|139366|159993|224147 || 13 || 386 || 99.7|07 || NULL || 882 */ /* column definitions { "unitid": "unique Education Unit ID number", "chronname": "Institution name", "city": "Institution city", "state": "Institution state", "level": "Level of institution", "control": "Control of institution", "basic": "Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version)", "hbcu": "Denotes Historically Black College and Universities", "flagship": "Denotes Public flagship institutions", "long_x": "Institution longitude", "lat_y": "Institution latitude", "site": "Institution Web site address", "student_count": "Total number of undergraduates in 2010", "awards_per_value": "Completions per 100 FTE (full-time equivalency) undergraduate students (average 2011, 2012, and 2013)", "awards_per_state_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, national sector average", "exp_award_value": "Estimated educational spending per academic award in 2013. Includes all certificates and degrees", "exp_award_state_value": "Spending per completion, state and sector average", "exp_award_natl_value": "Spending per completion, national sector average", "exp_award_percentile": "", "ft_pct": "Percentage of undergraduates who attend full-time", "fte_value": "total number of full-time equivalent undergraduates", "fte_percentile": "", "med_sat_value": "Median estimated SAT value for incoming students", "med_sat_percentile": "Institution's percent rank for median SAT value within sector", "aid_value": "The average amount of student aid going to undergraduate recipients", "aid_percentile": "Institution's percent rank for average amount of student aid going to undergraduate recipients within sector", "endow_value": "End-of-year endowment value per full-time equivalent student", "endow_percentile": "Institution's percent rank for endowment value per full-time equivalent student within sector", "grad_100_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_100_percentile": "Institution's percent rank for completers within 100 percent of normal time within sector", "grad_150_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_150_percentile": "Institution's percent rank for completers within 150 percent of normal time within sector", "pell_value": "percentage of undergraduates receiving a Pell Grant", "pell_percentile": "Institution's percent rank for undergraduate Pell recipients within sector", "retain_value": "share of freshman students retained for a second year", "retain_percentile": "Institution's percent rank for freshman retention percentage within sector", "ft_fac_value": "Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school", "ft_fac_percentile": "Institution's percent rank for full-time faculty share within sector ", "vsa_year": "Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability", "vsa_grad_after4_first": "First-time, full-time students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_first": "First-time, full-time students who graduated from another institution within four years", "vsa_enroll_after4_first": "First-time, full-time students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_first": "First-time, full-time students who are enrolled at another institution after four years", "vsa_grad_after6_first": "First-time, full-time students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_first": "First-time, full-time students who graduated from another institution within six years", "vsa_enroll_after6_first": "First-time, full-time students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_first": "First-time, full-time students who are enrolled at another institution after six years", "vsa_grad_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_enroll_after4_transfer": "Full-time transfer students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_transfer": "Full-time transfer students who are enrolled at another institution after four years", "vsa_grad_after6_transfer": "Full-time transfer students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_transfer": "Full-time transfer students who graduated from another institution within six years", "vsa_enroll_after6_transfer": "Full-time transfer students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_transfer": "Full-time transfer students who are enrolled at another institution after six years", "similar": "", "state_sector_ct": "", "carnegie_ct": "", "counted_pct": "", "nicknames": "", "cohort_size": "" }*/ CREATE TABLE institution_grads ( unitid INTEGER, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, foreign key (unitid) references institution_details(unitid) ) /* 1 example row: SELECT * FROM institution_grads LIMIT 1; unitid ||year ||gender ||race ||cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate 100760 ||2011 || B || X ||2y all || 446 || 73 || 105 || 16.4 || 23.5 */ /* column definitions { "unitid": "Education Unit ID number", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time" }*/ CREATE TABLE state_sector_grads ( stateid INTEGER, state TEXT, state_abbr TEXT, control TEXT, level TEXT, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, grad_cohort_ct INTEGER, foreign key (state) references institution_details(state), foreign key (stateid) references state_sector_details(stateid) ) /* 1 example row: SELECT * FROM state_sector_grads LIMIT 1; stateid || state ||state_abbr || control || level ||year ||gender ||race || cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate ||grad_cohort_ct 1 ||Alabama || AL ||Private for-profit ||4-year ||2011 || B || A ||4y bach || 0 || 0 || 0 || NULL || NULL || 9 */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_abbr": "", "control": "", "level": "Level of institution", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time", "grad_cohort_ct": "Number of institutions with data included in the cohort" }*/ CREATE TABLE "state_sector_details" ( stateid INTEGER, state TEXT references institution_details (state), state_post TEXT, level TEXT, control TEXT, schools_count INTEGER, counted_pct TEXT, awards_per_state_value TEXT, awards_per_natl_value REAL, exp_award_state_value TEXT, exp_award_natl_value INTEGER, state_appr_value TEXT, state_appr_rank TEXT, grad_rate_rank TEXT, awards_per_rank TEXT, primary key (stateid, level, control) ) /* 1 example row: SELECT * FROM state_sector_details LIMIT 1; stateid || state ||state_post || level ||control ||schools_count ||counted_pct ||awards_per_state_value ||awards_per_natl_value ||exp_award_state_value ||exp_award_natl_value ||state_appr_value ||state_appr_rank ||grad_rate_rank ||awards_per_rank 0 ||United States || U.S. ||4-year || Public || 632 || NULL || NULL || 21.5 || NULL || 66436 || NULL || NULL || 23 || NULL */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_post": "", "level": "Level of institution", "control": "", "schools_count": "", "counted_pct": "Percentage of students in the entering class (Fall 2007 at 4-year institutions, Fall 2010 at 2-year institutions) who are first-time, full-time, degree-seeking students and generally part of the official graduation rate", "awards_per_state_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, national sector average", "exp_award_state_value": "Spending per completion, state and sector average ", "exp_award_natl_value": "Spending per completion, national sector average", "state_appr_value": "State appropriations to higher education in fiscal year 2011 per resident", "state_appr_rank": "", "grad_rate_rank": "", "awards_per_rank": "" }*/ ### Question Tell the number of 4-year public schools in UT whose graduation rate exceeds the average for the state. Clarification: 4-year refers to level = '4-year'; public refers to control = 'Public'; UT refers to state_abbr = 'UT'; graduation rate exceeds the average for the state refers to awards_per_value > awards_per_state_value;
[query_database(**{'query': 'SELECT COUNT(DISTINCT T1.chronname) FROM institution_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.state = T1.state WHERE T2.state_abbr = 'UT' AND T1.level = '4-year' AND T1.control = 'Public' AND T1.awards_per_value > T1.awards_per_state_value'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE institution_details ( unitid INTEGER constraint institution_details_pk primary key, chronname TEXT, city TEXT, state TEXT, level TEXT, control TEXT, basic TEXT, hbcu TEXT, flagship TEXT, long_x REAL, lat_y REAL, site TEXT, student_count INTEGER, awards_per_value REAL, awards_per_state_value REAL, awards_per_natl_value REAL, exp_award_value INTEGER, exp_award_state_value INTEGER, exp_award_natl_value INTEGER, exp_award_percentile INTEGER, ft_pct REAL, fte_value INTEGER, fte_percentile INTEGER, med_sat_value TEXT, med_sat_percentile TEXT, aid_value INTEGER, aid_percentile INTEGER, endow_value TEXT, endow_percentile TEXT, grad_100_value REAL, grad_100_percentile INTEGER, grad_150_value REAL, grad_150_percentile INTEGER, pell_value REAL, pell_percentile INTEGER, retain_value REAL, retain_percentile INTEGER, ft_fac_value REAL, ft_fac_percentile INTEGER, vsa_year TEXT, vsa_grad_after4_first TEXT, vsa_grad_elsewhere_after4_first TEXT, vsa_enroll_after4_first TEXT, vsa_enroll_elsewhere_after4_first TEXT, vsa_grad_after6_first TEXT, vsa_grad_elsewhere_after6_first TEXT, vsa_enroll_after6_first TEXT, vsa_enroll_elsewhere_after6_first TEXT, vsa_grad_after4_transfer TEXT, vsa_grad_elsewhere_after4_transfer TEXT, vsa_enroll_after4_transfer TEXT, vsa_enroll_elsewhere_after4_transfer TEXT, vsa_grad_after6_transfer TEXT, vsa_grad_elsewhere_after6_transfer TEXT, vsa_enroll_after6_transfer TEXT, vsa_enroll_elsewhere_after6_transfer TEXT, similar TEXT, state_sector_ct INTEGER, carnegie_ct INTEGER, counted_pct TEXT, nicknames TEXT, cohort_size INTEGER ) /* 1 example row: SELECT * FROM institution_details LIMIT 1; unitid || chronname || city || state || level ||control || basic ||hbcu ||flagship || long_x || lat_y || site ||student_count ||awards_per_value ||awards_per_state_value ||awards_per_natl_value ||exp_award_value ||exp_award_state_value ||exp_award_natl_value ||exp_award_percentile ||ft_pct ||fte_value ||fte_percentile ||med_sat_value ||med_sat_percentile ||aid_value ||aid_percentile ||endow_value ||endow_percentile ||grad_100_value ||grad_100_percentile ||grad_150_value ||grad_150_percentile ||pell_value ||pell_percentile ||retain_value ||retain_percentile ||ft_fac_value ||ft_fac_percentile ||vsa_year ||vsa_grad_after4_first ||vsa_grad_elsewhere_after4_first ||vsa_enroll_after4_first ||vsa_enroll_elsewhere_after4_first ||vsa_grad_after6_first ||vsa_grad_elsewhere_after6_first ||vsa_enroll_after6_first ||vsa_enroll_elsewhere_after6_first ||vsa_grad_after4_transfer ||vsa_grad_elsewhere_after4_transfer ||vsa_enroll_after4_transfer ||vsa_enroll_elsewhere_after4_transfer ||vsa_grad_after6_transfer ||vsa_grad_elsewhere_after6_transfer ||vsa_enroll_after6_transfer ||vsa_enroll_elsewhere_after6_transfer || similar ||state_sector_ct ||carnegie_ct ||counted_pct ||nicknames ||cohort_size 100654 ||Alabama A&M University ||Normal ||Alabama ||4-year || Public ||Masters Colleges and Universities--larger programs || X || NULL ||-86.568502 ||34.783368 ||www.aamu.edu/ || 4051 || 14.2 || 18.8 || 21.5 || 105331 || 75743 || 66436 || 90 || 93.8 || 3906 || 33 || 823 || 0 || 7142 || 72 || NULL || NULL || 10.0 || 15 || 29.1 || 14 || 71.2 || 98 || 63.1 || 17 || 82.8 || 89 || 2010 || 14.7 || 2 || 36.5 || 16.1 || 33 || 5.3 || 12.5 || 14.6 || 15.7 || 1.5 || 40.9 || 17.2 || 36.4 || 5.6 || 17.2 || 11.1 ||232937|100724|405997|113607|139533|144005|228501|101480|131876|144759|419509|176479|243197|228529|372222|228431|206695|139366|159993|224147 || 13 || 386 || 99.7|07 || NULL || 882 */ /* column definitions { "unitid": "unique Education Unit ID number", "chronname": "Institution name", "city": "Institution city", "state": "Institution state", "level": "Level of institution", "control": "Control of institution", "basic": "Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version)", "hbcu": "Denotes Historically Black College and Universities", "flagship": "Denotes Public flagship institutions", "long_x": "Institution longitude", "lat_y": "Institution latitude", "site": "Institution Web site address", "student_count": "Total number of undergraduates in 2010", "awards_per_value": "Completions per 100 FTE (full-time equivalency) undergraduate students (average 2011, 2012, and 2013)", "awards_per_state_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, national sector average", "exp_award_value": "Estimated educational spending per academic award in 2013. Includes all certificates and degrees", "exp_award_state_value": "Spending per completion, state and sector average", "exp_award_natl_value": "Spending per completion, national sector average", "exp_award_percentile": "", "ft_pct": "Percentage of undergraduates who attend full-time", "fte_value": "total number of full-time equivalent undergraduates", "fte_percentile": "", "med_sat_value": "Median estimated SAT value for incoming students", "med_sat_percentile": "Institution's percent rank for median SAT value within sector", "aid_value": "The average amount of student aid going to undergraduate recipients", "aid_percentile": "Institution's percent rank for average amount of student aid going to undergraduate recipients within sector", "endow_value": "End-of-year endowment value per full-time equivalent student", "endow_percentile": "Institution's percent rank for endowment value per full-time equivalent student within sector", "grad_100_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_100_percentile": "Institution's percent rank for completers within 100 percent of normal time within sector", "grad_150_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_150_percentile": "Institution's percent rank for completers within 150 percent of normal time within sector", "pell_value": "percentage of undergraduates receiving a Pell Grant", "pell_percentile": "Institution's percent rank for undergraduate Pell recipients within sector", "retain_value": "share of freshman students retained for a second year", "retain_percentile": "Institution's percent rank for freshman retention percentage within sector", "ft_fac_value": "Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school", "ft_fac_percentile": "Institution's percent rank for full-time faculty share within sector ", "vsa_year": "Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability", "vsa_grad_after4_first": "First-time, full-time students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_first": "First-time, full-time students who graduated from another institution within four years", "vsa_enroll_after4_first": "First-time, full-time students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_first": "First-time, full-time students who are enrolled at another institution after four years", "vsa_grad_after6_first": "First-time, full-time students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_first": "First-time, full-time students who graduated from another institution within six years", "vsa_enroll_after6_first": "First-time, full-time students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_first": "First-time, full-time students who are enrolled at another institution after six years", "vsa_grad_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_enroll_after4_transfer": "Full-time transfer students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_transfer": "Full-time transfer students who are enrolled at another institution after four years", "vsa_grad_after6_transfer": "Full-time transfer students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_transfer": "Full-time transfer students who graduated from another institution within six years", "vsa_enroll_after6_transfer": "Full-time transfer students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_transfer": "Full-time transfer students who are enrolled at another institution after six years", "similar": "", "state_sector_ct": "", "carnegie_ct": "", "counted_pct": "", "nicknames": "", "cohort_size": "" }*/ CREATE TABLE institution_grads ( unitid INTEGER, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, foreign key (unitid) references institution_details(unitid) ) /* 1 example row: SELECT * FROM institution_grads LIMIT 1; unitid ||year ||gender ||race ||cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate 100760 ||2011 || B || X ||2y all || 446 || 73 || 105 || 16.4 || 23.5 */ /* column definitions { "unitid": "Education Unit ID number", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time" }*/ CREATE TABLE state_sector_grads ( stateid INTEGER, state TEXT, state_abbr TEXT, control TEXT, level TEXT, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, grad_cohort_ct INTEGER, foreign key (state) references institution_details(state), foreign key (stateid) references state_sector_details(stateid) ) /* 1 example row: SELECT * FROM state_sector_grads LIMIT 1; stateid || state ||state_abbr || control || level ||year ||gender ||race || cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate ||grad_cohort_ct 1 ||Alabama || AL ||Private for-profit ||4-year ||2011 || B || A ||4y bach || 0 || 0 || 0 || NULL || NULL || 9 */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_abbr": "", "control": "", "level": "Level of institution", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time", "grad_cohort_ct": "Number of institutions with data included in the cohort" }*/ CREATE TABLE "state_sector_details" ( stateid INTEGER, state TEXT references institution_details (state), state_post TEXT, level TEXT, control TEXT, schools_count INTEGER, counted_pct TEXT, awards_per_state_value TEXT, awards_per_natl_value REAL, exp_award_state_value TEXT, exp_award_natl_value INTEGER, state_appr_value TEXT, state_appr_rank TEXT, grad_rate_rank TEXT, awards_per_rank TEXT, primary key (stateid, level, control) ) /* 1 example row: SELECT * FROM state_sector_details LIMIT 1; stateid || state ||state_post || level ||control ||schools_count ||counted_pct ||awards_per_state_value ||awards_per_natl_value ||exp_award_state_value ||exp_award_natl_value ||state_appr_value ||state_appr_rank ||grad_rate_rank ||awards_per_rank 0 ||United States || U.S. ||4-year || Public || 632 || NULL || NULL || 21.5 || NULL || 66436 || NULL || NULL || 23 || NULL */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_post": "", "level": "Level of institution", "control": "", "schools_count": "", "counted_pct": "Percentage of students in the entering class (Fall 2007 at 4-year institutions, Fall 2010 at 2-year institutions) who are first-time, full-time, degree-seeking students and generally part of the official graduation rate", "awards_per_state_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, national sector average", "exp_award_state_value": "Spending per completion, state and sector average ", "exp_award_natl_value": "Spending per completion, national sector average", "state_appr_value": "State appropriations to higher education in fiscal year 2011 per resident", "state_appr_rank": "", "grad_rate_rank": "", "awards_per_rank": "" }*/
3,723
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE institution_details ( unitid INTEGER constraint institution_details_pk primary key, chronname TEXT, city TEXT, state TEXT, level TEXT, control TEXT, basic TEXT, hbcu TEXT, flagship TEXT, long_x REAL, lat_y REAL, site TEXT, student_count INTEGER, awards_per_value REAL, awards_per_state_value REAL, awards_per_natl_value REAL, exp_award_value INTEGER, exp_award_state_value INTEGER, exp_award_natl_value INTEGER, exp_award_percentile INTEGER, ft_pct REAL, fte_value INTEGER, fte_percentile INTEGER, med_sat_value TEXT, med_sat_percentile TEXT, aid_value INTEGER, aid_percentile INTEGER, endow_value TEXT, endow_percentile TEXT, grad_100_value REAL, grad_100_percentile INTEGER, grad_150_value REAL, grad_150_percentile INTEGER, pell_value REAL, pell_percentile INTEGER, retain_value REAL, retain_percentile INTEGER, ft_fac_value REAL, ft_fac_percentile INTEGER, vsa_year TEXT, vsa_grad_after4_first TEXT, vsa_grad_elsewhere_after4_first TEXT, vsa_enroll_after4_first TEXT, vsa_enroll_elsewhere_after4_first TEXT, vsa_grad_after6_first TEXT, vsa_grad_elsewhere_after6_first TEXT, vsa_enroll_after6_first TEXT, vsa_enroll_elsewhere_after6_first TEXT, vsa_grad_after4_transfer TEXT, vsa_grad_elsewhere_after4_transfer TEXT, vsa_enroll_after4_transfer TEXT, vsa_enroll_elsewhere_after4_transfer TEXT, vsa_grad_after6_transfer TEXT, vsa_grad_elsewhere_after6_transfer TEXT, vsa_enroll_after6_transfer TEXT, vsa_enroll_elsewhere_after6_transfer TEXT, similar TEXT, state_sector_ct INTEGER, carnegie_ct INTEGER, counted_pct TEXT, nicknames TEXT, cohort_size INTEGER ) /* 1 example row: SELECT * FROM institution_details LIMIT 1; unitid || chronname || city || state || level ||control || basic ||hbcu ||flagship || long_x || lat_y || site ||student_count ||awards_per_value ||awards_per_state_value ||awards_per_natl_value ||exp_award_value ||exp_award_state_value ||exp_award_natl_value ||exp_award_percentile ||ft_pct ||fte_value ||fte_percentile ||med_sat_value ||med_sat_percentile ||aid_value ||aid_percentile ||endow_value ||endow_percentile ||grad_100_value ||grad_100_percentile ||grad_150_value ||grad_150_percentile ||pell_value ||pell_percentile ||retain_value ||retain_percentile ||ft_fac_value ||ft_fac_percentile ||vsa_year ||vsa_grad_after4_first ||vsa_grad_elsewhere_after4_first ||vsa_enroll_after4_first ||vsa_enroll_elsewhere_after4_first ||vsa_grad_after6_first ||vsa_grad_elsewhere_after6_first ||vsa_enroll_after6_first ||vsa_enroll_elsewhere_after6_first ||vsa_grad_after4_transfer ||vsa_grad_elsewhere_after4_transfer ||vsa_enroll_after4_transfer ||vsa_enroll_elsewhere_after4_transfer ||vsa_grad_after6_transfer ||vsa_grad_elsewhere_after6_transfer ||vsa_enroll_after6_transfer ||vsa_enroll_elsewhere_after6_transfer || similar ||state_sector_ct ||carnegie_ct ||counted_pct ||nicknames ||cohort_size 100654 ||Alabama A&M University ||Normal ||Alabama ||4-year || Public ||Masters Colleges and Universities--larger programs || X || NULL ||-86.568502 ||34.783368 ||www.aamu.edu/ || 4051 || 14.2 || 18.8 || 21.5 || 105331 || 75743 || 66436 || 90 || 93.8 || 3906 || 33 || 823 || 0 || 7142 || 72 || NULL || NULL || 10.0 || 15 || 29.1 || 14 || 71.2 || 98 || 63.1 || 17 || 82.8 || 89 || 2010 || 14.7 || 2 || 36.5 || 16.1 || 33 || 5.3 || 12.5 || 14.6 || 15.7 || 1.5 || 40.9 || 17.2 || 36.4 || 5.6 || 17.2 || 11.1 ||232937|100724|405997|113607|139533|144005|228501|101480|131876|144759|419509|176479|243197|228529|372222|228431|206695|139366|159993|224147 || 13 || 386 || 99.7|07 || NULL || 882 */ /* column definitions { "unitid": "unique Education Unit ID number", "chronname": "Institution name", "city": "Institution city", "state": "Institution state", "level": "Level of institution", "control": "Control of institution", "basic": "Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version)", "hbcu": "Denotes Historically Black College and Universities", "flagship": "Denotes Public flagship institutions", "long_x": "Institution longitude", "lat_y": "Institution latitude", "site": "Institution Web site address", "student_count": "Total number of undergraduates in 2010", "awards_per_value": "Completions per 100 FTE (full-time equivalency) undergraduate students (average 2011, 2012, and 2013)", "awards_per_state_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, national sector average", "exp_award_value": "Estimated educational spending per academic award in 2013. Includes all certificates and degrees", "exp_award_state_value": "Spending per completion, state and sector average", "exp_award_natl_value": "Spending per completion, national sector average", "exp_award_percentile": "", "ft_pct": "Percentage of undergraduates who attend full-time", "fte_value": "total number of full-time equivalent undergraduates", "fte_percentile": "", "med_sat_value": "Median estimated SAT value for incoming students", "med_sat_percentile": "Institution's percent rank for median SAT value within sector", "aid_value": "The average amount of student aid going to undergraduate recipients", "aid_percentile": "Institution's percent rank for average amount of student aid going to undergraduate recipients within sector", "endow_value": "End-of-year endowment value per full-time equivalent student", "endow_percentile": "Institution's percent rank for endowment value per full-time equivalent student within sector", "grad_100_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_100_percentile": "Institution's percent rank for completers within 100 percent of normal time within sector", "grad_150_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_150_percentile": "Institution's percent rank for completers within 150 percent of normal time within sector", "pell_value": "percentage of undergraduates receiving a Pell Grant", "pell_percentile": "Institution's percent rank for undergraduate Pell recipients within sector", "retain_value": "share of freshman students retained for a second year", "retain_percentile": "Institution's percent rank for freshman retention percentage within sector", "ft_fac_value": "Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school", "ft_fac_percentile": "Institution's percent rank for full-time faculty share within sector ", "vsa_year": "Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability", "vsa_grad_after4_first": "First-time, full-time students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_first": "First-time, full-time students who graduated from another institution within four years", "vsa_enroll_after4_first": "First-time, full-time students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_first": "First-time, full-time students who are enrolled at another institution after four years", "vsa_grad_after6_first": "First-time, full-time students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_first": "First-time, full-time students who graduated from another institution within six years", "vsa_enroll_after6_first": "First-time, full-time students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_first": "First-time, full-time students who are enrolled at another institution after six years", "vsa_grad_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_enroll_after4_transfer": "Full-time transfer students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_transfer": "Full-time transfer students who are enrolled at another institution after four years", "vsa_grad_after6_transfer": "Full-time transfer students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_transfer": "Full-time transfer students who graduated from another institution within six years", "vsa_enroll_after6_transfer": "Full-time transfer students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_transfer": "Full-time transfer students who are enrolled at another institution after six years", "similar": "", "state_sector_ct": "", "carnegie_ct": "", "counted_pct": "", "nicknames": "", "cohort_size": "" }*/ CREATE TABLE institution_grads ( unitid INTEGER, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, foreign key (unitid) references institution_details(unitid) ) /* 1 example row: SELECT * FROM institution_grads LIMIT 1; unitid ||year ||gender ||race ||cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate 100760 ||2011 || B || X ||2y all || 446 || 73 || 105 || 16.4 || 23.5 */ /* column definitions { "unitid": "Education Unit ID number", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time" }*/ CREATE TABLE state_sector_grads ( stateid INTEGER, state TEXT, state_abbr TEXT, control TEXT, level TEXT, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, grad_cohort_ct INTEGER, foreign key (state) references institution_details(state), foreign key (stateid) references state_sector_details(stateid) ) /* 1 example row: SELECT * FROM state_sector_grads LIMIT 1; stateid || state ||state_abbr || control || level ||year ||gender ||race || cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate ||grad_cohort_ct 1 ||Alabama || AL ||Private for-profit ||4-year ||2011 || B || A ||4y bach || 0 || 0 || 0 || NULL || NULL || 9 */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_abbr": "", "control": "", "level": "Level of institution", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time", "grad_cohort_ct": "Number of institutions with data included in the cohort" }*/ CREATE TABLE "state_sector_details" ( stateid INTEGER, state TEXT references institution_details (state), state_post TEXT, level TEXT, control TEXT, schools_count INTEGER, counted_pct TEXT, awards_per_state_value TEXT, awards_per_natl_value REAL, exp_award_state_value TEXT, exp_award_natl_value INTEGER, state_appr_value TEXT, state_appr_rank TEXT, grad_rate_rank TEXT, awards_per_rank TEXT, primary key (stateid, level, control) ) /* 1 example row: SELECT * FROM state_sector_details LIMIT 1; stateid || state ||state_post || level ||control ||schools_count ||counted_pct ||awards_per_state_value ||awards_per_natl_value ||exp_award_state_value ||exp_award_natl_value ||state_appr_value ||state_appr_rank ||grad_rate_rank ||awards_per_rank 0 ||United States || U.S. ||4-year || Public || 632 || NULL || NULL || 21.5 || NULL || 66436 || NULL || NULL || 23 || NULL */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_post": "", "level": "Level of institution", "control": "", "schools_count": "", "counted_pct": "Percentage of students in the entering class (Fall 2007 at 4-year institutions, Fall 2010 at 2-year institutions) who are first-time, full-time, degree-seeking students and generally part of the official graduation rate", "awards_per_state_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, national sector average", "exp_award_state_value": "Spending per completion, state and sector average ", "exp_award_natl_value": "Spending per completion, national sector average", "state_appr_value": "State appropriations to higher education in fiscal year 2011 per resident", "state_appr_rank": "", "grad_rate_rank": "", "awards_per_rank": "" }*/ ### Question Which 4-year private for-profit school in "KY" has the highest graudation 150 value? Give the ID for the school. Clarification: 4-year refers to level = '4-year'; private for profit refers to control = 'Private for-profit'; KY refers to state_abbr = 'KY'; highest graduation 150 value refers to MAX(grad_150_value); ID of the school refers to unitid;
[query_database(**{'query': 'SELECT T1.chronname, T1.unitid FROM institution_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.state = T1.state WHERE T2.state_abbr = 'KY' AND T1.level = '4-year' AND T1.control = 'Private for-profit' GROUP BY T1.chronname ORDER BY SUM(T1.grad_150_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 institution_details ( unitid INTEGER constraint institution_details_pk primary key, chronname TEXT, city TEXT, state TEXT, level TEXT, control TEXT, basic TEXT, hbcu TEXT, flagship TEXT, long_x REAL, lat_y REAL, site TEXT, student_count INTEGER, awards_per_value REAL, awards_per_state_value REAL, awards_per_natl_value REAL, exp_award_value INTEGER, exp_award_state_value INTEGER, exp_award_natl_value INTEGER, exp_award_percentile INTEGER, ft_pct REAL, fte_value INTEGER, fte_percentile INTEGER, med_sat_value TEXT, med_sat_percentile TEXT, aid_value INTEGER, aid_percentile INTEGER, endow_value TEXT, endow_percentile TEXT, grad_100_value REAL, grad_100_percentile INTEGER, grad_150_value REAL, grad_150_percentile INTEGER, pell_value REAL, pell_percentile INTEGER, retain_value REAL, retain_percentile INTEGER, ft_fac_value REAL, ft_fac_percentile INTEGER, vsa_year TEXT, vsa_grad_after4_first TEXT, vsa_grad_elsewhere_after4_first TEXT, vsa_enroll_after4_first TEXT, vsa_enroll_elsewhere_after4_first TEXT, vsa_grad_after6_first TEXT, vsa_grad_elsewhere_after6_first TEXT, vsa_enroll_after6_first TEXT, vsa_enroll_elsewhere_after6_first TEXT, vsa_grad_after4_transfer TEXT, vsa_grad_elsewhere_after4_transfer TEXT, vsa_enroll_after4_transfer TEXT, vsa_enroll_elsewhere_after4_transfer TEXT, vsa_grad_after6_transfer TEXT, vsa_grad_elsewhere_after6_transfer TEXT, vsa_enroll_after6_transfer TEXT, vsa_enroll_elsewhere_after6_transfer TEXT, similar TEXT, state_sector_ct INTEGER, carnegie_ct INTEGER, counted_pct TEXT, nicknames TEXT, cohort_size INTEGER ) /* 1 example row: SELECT * FROM institution_details LIMIT 1; unitid || chronname || city || state || level ||control || basic ||hbcu ||flagship || long_x || lat_y || site ||student_count ||awards_per_value ||awards_per_state_value ||awards_per_natl_value ||exp_award_value ||exp_award_state_value ||exp_award_natl_value ||exp_award_percentile ||ft_pct ||fte_value ||fte_percentile ||med_sat_value ||med_sat_percentile ||aid_value ||aid_percentile ||endow_value ||endow_percentile ||grad_100_value ||grad_100_percentile ||grad_150_value ||grad_150_percentile ||pell_value ||pell_percentile ||retain_value ||retain_percentile ||ft_fac_value ||ft_fac_percentile ||vsa_year ||vsa_grad_after4_first ||vsa_grad_elsewhere_after4_first ||vsa_enroll_after4_first ||vsa_enroll_elsewhere_after4_first ||vsa_grad_after6_first ||vsa_grad_elsewhere_after6_first ||vsa_enroll_after6_first ||vsa_enroll_elsewhere_after6_first ||vsa_grad_after4_transfer ||vsa_grad_elsewhere_after4_transfer ||vsa_enroll_after4_transfer ||vsa_enroll_elsewhere_after4_transfer ||vsa_grad_after6_transfer ||vsa_grad_elsewhere_after6_transfer ||vsa_enroll_after6_transfer ||vsa_enroll_elsewhere_after6_transfer || similar ||state_sector_ct ||carnegie_ct ||counted_pct ||nicknames ||cohort_size 100654 ||Alabama A&M University ||Normal ||Alabama ||4-year || Public ||Masters Colleges and Universities--larger programs || X || NULL ||-86.568502 ||34.783368 ||www.aamu.edu/ || 4051 || 14.2 || 18.8 || 21.5 || 105331 || 75743 || 66436 || 90 || 93.8 || 3906 || 33 || 823 || 0 || 7142 || 72 || NULL || NULL || 10.0 || 15 || 29.1 || 14 || 71.2 || 98 || 63.1 || 17 || 82.8 || 89 || 2010 || 14.7 || 2 || 36.5 || 16.1 || 33 || 5.3 || 12.5 || 14.6 || 15.7 || 1.5 || 40.9 || 17.2 || 36.4 || 5.6 || 17.2 || 11.1 ||232937|100724|405997|113607|139533|144005|228501|101480|131876|144759|419509|176479|243197|228529|372222|228431|206695|139366|159993|224147 || 13 || 386 || 99.7|07 || NULL || 882 */ /* column definitions { "unitid": "unique Education Unit ID number", "chronname": "Institution name", "city": "Institution city", "state": "Institution state", "level": "Level of institution", "control": "Control of institution", "basic": "Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version)", "hbcu": "Denotes Historically Black College and Universities", "flagship": "Denotes Public flagship institutions", "long_x": "Institution longitude", "lat_y": "Institution latitude", "site": "Institution Web site address", "student_count": "Total number of undergraduates in 2010", "awards_per_value": "Completions per 100 FTE (full-time equivalency) undergraduate students (average 2011, 2012, and 2013)", "awards_per_state_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, national sector average", "exp_award_value": "Estimated educational spending per academic award in 2013. Includes all certificates and degrees", "exp_award_state_value": "Spending per completion, state and sector average", "exp_award_natl_value": "Spending per completion, national sector average", "exp_award_percentile": "", "ft_pct": "Percentage of undergraduates who attend full-time", "fte_value": "total number of full-time equivalent undergraduates", "fte_percentile": "", "med_sat_value": "Median estimated SAT value for incoming students", "med_sat_percentile": "Institution's percent rank for median SAT value within sector", "aid_value": "The average amount of student aid going to undergraduate recipients", "aid_percentile": "Institution's percent rank for average amount of student aid going to undergraduate recipients within sector", "endow_value": "End-of-year endowment value per full-time equivalent student", "endow_percentile": "Institution's percent rank for endowment value per full-time equivalent student within sector", "grad_100_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_100_percentile": "Institution's percent rank for completers within 100 percent of normal time within sector", "grad_150_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_150_percentile": "Institution's percent rank for completers within 150 percent of normal time within sector", "pell_value": "percentage of undergraduates receiving a Pell Grant", "pell_percentile": "Institution's percent rank for undergraduate Pell recipients within sector", "retain_value": "share of freshman students retained for a second year", "retain_percentile": "Institution's percent rank for freshman retention percentage within sector", "ft_fac_value": "Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school", "ft_fac_percentile": "Institution's percent rank for full-time faculty share within sector ", "vsa_year": "Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability", "vsa_grad_after4_first": "First-time, full-time students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_first": "First-time, full-time students who graduated from another institution within four years", "vsa_enroll_after4_first": "First-time, full-time students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_first": "First-time, full-time students who are enrolled at another institution after four years", "vsa_grad_after6_first": "First-time, full-time students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_first": "First-time, full-time students who graduated from another institution within six years", "vsa_enroll_after6_first": "First-time, full-time students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_first": "First-time, full-time students who are enrolled at another institution after six years", "vsa_grad_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_enroll_after4_transfer": "Full-time transfer students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_transfer": "Full-time transfer students who are enrolled at another institution after four years", "vsa_grad_after6_transfer": "Full-time transfer students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_transfer": "Full-time transfer students who graduated from another institution within six years", "vsa_enroll_after6_transfer": "Full-time transfer students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_transfer": "Full-time transfer students who are enrolled at another institution after six years", "similar": "", "state_sector_ct": "", "carnegie_ct": "", "counted_pct": "", "nicknames": "", "cohort_size": "" }*/ CREATE TABLE institution_grads ( unitid INTEGER, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, foreign key (unitid) references institution_details(unitid) ) /* 1 example row: SELECT * FROM institution_grads LIMIT 1; unitid ||year ||gender ||race ||cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate 100760 ||2011 || B || X ||2y all || 446 || 73 || 105 || 16.4 || 23.5 */ /* column definitions { "unitid": "Education Unit ID number", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time" }*/ CREATE TABLE state_sector_grads ( stateid INTEGER, state TEXT, state_abbr TEXT, control TEXT, level TEXT, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, grad_cohort_ct INTEGER, foreign key (state) references institution_details(state), foreign key (stateid) references state_sector_details(stateid) ) /* 1 example row: SELECT * FROM state_sector_grads LIMIT 1; stateid || state ||state_abbr || control || level ||year ||gender ||race || cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate ||grad_cohort_ct 1 ||Alabama || AL ||Private for-profit ||4-year ||2011 || B || A ||4y bach || 0 || 0 || 0 || NULL || NULL || 9 */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_abbr": "", "control": "", "level": "Level of institution", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time", "grad_cohort_ct": "Number of institutions with data included in the cohort" }*/ CREATE TABLE "state_sector_details" ( stateid INTEGER, state TEXT references institution_details (state), state_post TEXT, level TEXT, control TEXT, schools_count INTEGER, counted_pct TEXT, awards_per_state_value TEXT, awards_per_natl_value REAL, exp_award_state_value TEXT, exp_award_natl_value INTEGER, state_appr_value TEXT, state_appr_rank TEXT, grad_rate_rank TEXT, awards_per_rank TEXT, primary key (stateid, level, control) ) /* 1 example row: SELECT * FROM state_sector_details LIMIT 1; stateid || state ||state_post || level ||control ||schools_count ||counted_pct ||awards_per_state_value ||awards_per_natl_value ||exp_award_state_value ||exp_award_natl_value ||state_appr_value ||state_appr_rank ||grad_rate_rank ||awards_per_rank 0 ||United States || U.S. ||4-year || Public || 632 || NULL || NULL || 21.5 || NULL || 66436 || NULL || NULL || 23 || NULL */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_post": "", "level": "Level of institution", "control": "", "schools_count": "", "counted_pct": "Percentage of students in the entering class (Fall 2007 at 4-year institutions, Fall 2010 at 2-year institutions) who are first-time, full-time, degree-seeking students and generally part of the official graduation rate", "awards_per_state_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, national sector average", "exp_award_state_value": "Spending per completion, state and sector average ", "exp_award_natl_value": "Spending per completion, national sector average", "state_appr_value": "State appropriations to higher education in fiscal year 2011 per resident", "state_appr_rank": "", "grad_rate_rank": "", "awards_per_rank": "" }*/
3,727
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE institution_details ( unitid INTEGER constraint institution_details_pk primary key, chronname TEXT, city TEXT, state TEXT, level TEXT, control TEXT, basic TEXT, hbcu TEXT, flagship TEXT, long_x REAL, lat_y REAL, site TEXT, student_count INTEGER, awards_per_value REAL, awards_per_state_value REAL, awards_per_natl_value REAL, exp_award_value INTEGER, exp_award_state_value INTEGER, exp_award_natl_value INTEGER, exp_award_percentile INTEGER, ft_pct REAL, fte_value INTEGER, fte_percentile INTEGER, med_sat_value TEXT, med_sat_percentile TEXT, aid_value INTEGER, aid_percentile INTEGER, endow_value TEXT, endow_percentile TEXT, grad_100_value REAL, grad_100_percentile INTEGER, grad_150_value REAL, grad_150_percentile INTEGER, pell_value REAL, pell_percentile INTEGER, retain_value REAL, retain_percentile INTEGER, ft_fac_value REAL, ft_fac_percentile INTEGER, vsa_year TEXT, vsa_grad_after4_first TEXT, vsa_grad_elsewhere_after4_first TEXT, vsa_enroll_after4_first TEXT, vsa_enroll_elsewhere_after4_first TEXT, vsa_grad_after6_first TEXT, vsa_grad_elsewhere_after6_first TEXT, vsa_enroll_after6_first TEXT, vsa_enroll_elsewhere_after6_first TEXT, vsa_grad_after4_transfer TEXT, vsa_grad_elsewhere_after4_transfer TEXT, vsa_enroll_after4_transfer TEXT, vsa_enroll_elsewhere_after4_transfer TEXT, vsa_grad_after6_transfer TEXT, vsa_grad_elsewhere_after6_transfer TEXT, vsa_enroll_after6_transfer TEXT, vsa_enroll_elsewhere_after6_transfer TEXT, similar TEXT, state_sector_ct INTEGER, carnegie_ct INTEGER, counted_pct TEXT, nicknames TEXT, cohort_size INTEGER ) /* 1 example row: SELECT * FROM institution_details LIMIT 1; unitid || chronname || city || state || level ||control || basic ||hbcu ||flagship || long_x || lat_y || site ||student_count ||awards_per_value ||awards_per_state_value ||awards_per_natl_value ||exp_award_value ||exp_award_state_value ||exp_award_natl_value ||exp_award_percentile ||ft_pct ||fte_value ||fte_percentile ||med_sat_value ||med_sat_percentile ||aid_value ||aid_percentile ||endow_value ||endow_percentile ||grad_100_value ||grad_100_percentile ||grad_150_value ||grad_150_percentile ||pell_value ||pell_percentile ||retain_value ||retain_percentile ||ft_fac_value ||ft_fac_percentile ||vsa_year ||vsa_grad_after4_first ||vsa_grad_elsewhere_after4_first ||vsa_enroll_after4_first ||vsa_enroll_elsewhere_after4_first ||vsa_grad_after6_first ||vsa_grad_elsewhere_after6_first ||vsa_enroll_after6_first ||vsa_enroll_elsewhere_after6_first ||vsa_grad_after4_transfer ||vsa_grad_elsewhere_after4_transfer ||vsa_enroll_after4_transfer ||vsa_enroll_elsewhere_after4_transfer ||vsa_grad_after6_transfer ||vsa_grad_elsewhere_after6_transfer ||vsa_enroll_after6_transfer ||vsa_enroll_elsewhere_after6_transfer || similar ||state_sector_ct ||carnegie_ct ||counted_pct ||nicknames ||cohort_size 100654 ||Alabama A&M University ||Normal ||Alabama ||4-year || Public ||Masters Colleges and Universities--larger programs || X || NULL ||-86.568502 ||34.783368 ||www.aamu.edu/ || 4051 || 14.2 || 18.8 || 21.5 || 105331 || 75743 || 66436 || 90 || 93.8 || 3906 || 33 || 823 || 0 || 7142 || 72 || NULL || NULL || 10.0 || 15 || 29.1 || 14 || 71.2 || 98 || 63.1 || 17 || 82.8 || 89 || 2010 || 14.7 || 2 || 36.5 || 16.1 || 33 || 5.3 || 12.5 || 14.6 || 15.7 || 1.5 || 40.9 || 17.2 || 36.4 || 5.6 || 17.2 || 11.1 ||232937|100724|405997|113607|139533|144005|228501|101480|131876|144759|419509|176479|243197|228529|372222|228431|206695|139366|159993|224147 || 13 || 386 || 99.7|07 || NULL || 882 */ /* column definitions { "unitid": "unique Education Unit ID number", "chronname": "Institution name", "city": "Institution city", "state": "Institution state", "level": "Level of institution", "control": "Control of institution", "basic": "Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version)", "hbcu": "Denotes Historically Black College and Universities", "flagship": "Denotes Public flagship institutions", "long_x": "Institution longitude", "lat_y": "Institution latitude", "site": "Institution Web site address", "student_count": "Total number of undergraduates in 2010", "awards_per_value": "Completions per 100 FTE (full-time equivalency) undergraduate students (average 2011, 2012, and 2013)", "awards_per_state_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, national sector average", "exp_award_value": "Estimated educational spending per academic award in 2013. Includes all certificates and degrees", "exp_award_state_value": "Spending per completion, state and sector average", "exp_award_natl_value": "Spending per completion, national sector average", "exp_award_percentile": "", "ft_pct": "Percentage of undergraduates who attend full-time", "fte_value": "total number of full-time equivalent undergraduates", "fte_percentile": "", "med_sat_value": "Median estimated SAT value for incoming students", "med_sat_percentile": "Institution's percent rank for median SAT value within sector", "aid_value": "The average amount of student aid going to undergraduate recipients", "aid_percentile": "Institution's percent rank for average amount of student aid going to undergraduate recipients within sector", "endow_value": "End-of-year endowment value per full-time equivalent student", "endow_percentile": "Institution's percent rank for endowment value per full-time equivalent student within sector", "grad_100_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_100_percentile": "Institution's percent rank for completers within 100 percent of normal time within sector", "grad_150_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_150_percentile": "Institution's percent rank for completers within 150 percent of normal time within sector", "pell_value": "percentage of undergraduates receiving a Pell Grant", "pell_percentile": "Institution's percent rank for undergraduate Pell recipients within sector", "retain_value": "share of freshman students retained for a second year", "retain_percentile": "Institution's percent rank for freshman retention percentage within sector", "ft_fac_value": "Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school", "ft_fac_percentile": "Institution's percent rank for full-time faculty share within sector ", "vsa_year": "Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability", "vsa_grad_after4_first": "First-time, full-time students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_first": "First-time, full-time students who graduated from another institution within four years", "vsa_enroll_after4_first": "First-time, full-time students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_first": "First-time, full-time students who are enrolled at another institution after four years", "vsa_grad_after6_first": "First-time, full-time students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_first": "First-time, full-time students who graduated from another institution within six years", "vsa_enroll_after6_first": "First-time, full-time students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_first": "First-time, full-time students who are enrolled at another institution after six years", "vsa_grad_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_enroll_after4_transfer": "Full-time transfer students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_transfer": "Full-time transfer students who are enrolled at another institution after four years", "vsa_grad_after6_transfer": "Full-time transfer students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_transfer": "Full-time transfer students who graduated from another institution within six years", "vsa_enroll_after6_transfer": "Full-time transfer students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_transfer": "Full-time transfer students who are enrolled at another institution after six years", "similar": "", "state_sector_ct": "", "carnegie_ct": "", "counted_pct": "", "nicknames": "", "cohort_size": "" }*/ CREATE TABLE institution_grads ( unitid INTEGER, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, foreign key (unitid) references institution_details(unitid) ) /* 1 example row: SELECT * FROM institution_grads LIMIT 1; unitid ||year ||gender ||race ||cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate 100760 ||2011 || B || X ||2y all || 446 || 73 || 105 || 16.4 || 23.5 */ /* column definitions { "unitid": "Education Unit ID number", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time" }*/ CREATE TABLE state_sector_grads ( stateid INTEGER, state TEXT, state_abbr TEXT, control TEXT, level TEXT, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, grad_cohort_ct INTEGER, foreign key (state) references institution_details(state), foreign key (stateid) references state_sector_details(stateid) ) /* 1 example row: SELECT * FROM state_sector_grads LIMIT 1; stateid || state ||state_abbr || control || level ||year ||gender ||race || cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate ||grad_cohort_ct 1 ||Alabama || AL ||Private for-profit ||4-year ||2011 || B || A ||4y bach || 0 || 0 || 0 || NULL || NULL || 9 */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_abbr": "", "control": "", "level": "Level of institution", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time", "grad_cohort_ct": "Number of institutions with data included in the cohort" }*/ CREATE TABLE "state_sector_details" ( stateid INTEGER, state TEXT references institution_details (state), state_post TEXT, level TEXT, control TEXT, schools_count INTEGER, counted_pct TEXT, awards_per_state_value TEXT, awards_per_natl_value REAL, exp_award_state_value TEXT, exp_award_natl_value INTEGER, state_appr_value TEXT, state_appr_rank TEXT, grad_rate_rank TEXT, awards_per_rank TEXT, primary key (stateid, level, control) ) /* 1 example row: SELECT * FROM state_sector_details LIMIT 1; stateid || state ||state_post || level ||control ||schools_count ||counted_pct ||awards_per_state_value ||awards_per_natl_value ||exp_award_state_value ||exp_award_natl_value ||state_appr_value ||state_appr_rank ||grad_rate_rank ||awards_per_rank 0 ||United States || U.S. ||4-year || Public || 632 || NULL || NULL || 21.5 || NULL || 66436 || NULL || NULL || 23 || NULL */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_post": "", "level": "Level of institution", "control": "", "schools_count": "", "counted_pct": "Percentage of students in the entering class (Fall 2007 at 4-year institutions, Fall 2010 at 2-year institutions) who are first-time, full-time, degree-seeking students and generally part of the official graduation rate", "awards_per_state_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, national sector average", "exp_award_state_value": "Spending per completion, state and sector average ", "exp_award_natl_value": "Spending per completion, national sector average", "state_appr_value": "State appropriations to higher education in fiscal year 2011 per resident", "state_appr_rank": "", "grad_rate_rank": "", "awards_per_rank": "" }*/ ### Question Give the total number of all graduated students from a 2-year public schools in Alabama in 2011. Clarification: number of graduated students refers to grad_cohort; 2-year refers to level = '2-year'; public refers to control = 'Public'; Alabama refers to state = 'Alabama'; in 2011 refers to year = '2011'; reace = 'X' means all students.
[query_database(**{'query': 'SELECT SUM(T2.grad_cohort) FROM state_sector_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.stateid = T1.stateid WHERE T1.state = 'Alabama' AND T2.year = 2011 AND T1.level = '2-year' AND T1.control = 'Public' AND T2.race = 'X''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE institution_details ( unitid INTEGER constraint institution_details_pk primary key, chronname TEXT, city TEXT, state TEXT, level TEXT, control TEXT, basic TEXT, hbcu TEXT, flagship TEXT, long_x REAL, lat_y REAL, site TEXT, student_count INTEGER, awards_per_value REAL, awards_per_state_value REAL, awards_per_natl_value REAL, exp_award_value INTEGER, exp_award_state_value INTEGER, exp_award_natl_value INTEGER, exp_award_percentile INTEGER, ft_pct REAL, fte_value INTEGER, fte_percentile INTEGER, med_sat_value TEXT, med_sat_percentile TEXT, aid_value INTEGER, aid_percentile INTEGER, endow_value TEXT, endow_percentile TEXT, grad_100_value REAL, grad_100_percentile INTEGER, grad_150_value REAL, grad_150_percentile INTEGER, pell_value REAL, pell_percentile INTEGER, retain_value REAL, retain_percentile INTEGER, ft_fac_value REAL, ft_fac_percentile INTEGER, vsa_year TEXT, vsa_grad_after4_first TEXT, vsa_grad_elsewhere_after4_first TEXT, vsa_enroll_after4_first TEXT, vsa_enroll_elsewhere_after4_first TEXT, vsa_grad_after6_first TEXT, vsa_grad_elsewhere_after6_first TEXT, vsa_enroll_after6_first TEXT, vsa_enroll_elsewhere_after6_first TEXT, vsa_grad_after4_transfer TEXT, vsa_grad_elsewhere_after4_transfer TEXT, vsa_enroll_after4_transfer TEXT, vsa_enroll_elsewhere_after4_transfer TEXT, vsa_grad_after6_transfer TEXT, vsa_grad_elsewhere_after6_transfer TEXT, vsa_enroll_after6_transfer TEXT, vsa_enroll_elsewhere_after6_transfer TEXT, similar TEXT, state_sector_ct INTEGER, carnegie_ct INTEGER, counted_pct TEXT, nicknames TEXT, cohort_size INTEGER ) /* 1 example row: SELECT * FROM institution_details LIMIT 1; unitid || chronname || city || state || level ||control || basic ||hbcu ||flagship || long_x || lat_y || site ||student_count ||awards_per_value ||awards_per_state_value ||awards_per_natl_value ||exp_award_value ||exp_award_state_value ||exp_award_natl_value ||exp_award_percentile ||ft_pct ||fte_value ||fte_percentile ||med_sat_value ||med_sat_percentile ||aid_value ||aid_percentile ||endow_value ||endow_percentile ||grad_100_value ||grad_100_percentile ||grad_150_value ||grad_150_percentile ||pell_value ||pell_percentile ||retain_value ||retain_percentile ||ft_fac_value ||ft_fac_percentile ||vsa_year ||vsa_grad_after4_first ||vsa_grad_elsewhere_after4_first ||vsa_enroll_after4_first ||vsa_enroll_elsewhere_after4_first ||vsa_grad_after6_first ||vsa_grad_elsewhere_after6_first ||vsa_enroll_after6_first ||vsa_enroll_elsewhere_after6_first ||vsa_grad_after4_transfer ||vsa_grad_elsewhere_after4_transfer ||vsa_enroll_after4_transfer ||vsa_enroll_elsewhere_after4_transfer ||vsa_grad_after6_transfer ||vsa_grad_elsewhere_after6_transfer ||vsa_enroll_after6_transfer ||vsa_enroll_elsewhere_after6_transfer || similar ||state_sector_ct ||carnegie_ct ||counted_pct ||nicknames ||cohort_size 100654 ||Alabama A&M University ||Normal ||Alabama ||4-year || Public ||Masters Colleges and Universities--larger programs || X || NULL ||-86.568502 ||34.783368 ||www.aamu.edu/ || 4051 || 14.2 || 18.8 || 21.5 || 105331 || 75743 || 66436 || 90 || 93.8 || 3906 || 33 || 823 || 0 || 7142 || 72 || NULL || NULL || 10.0 || 15 || 29.1 || 14 || 71.2 || 98 || 63.1 || 17 || 82.8 || 89 || 2010 || 14.7 || 2 || 36.5 || 16.1 || 33 || 5.3 || 12.5 || 14.6 || 15.7 || 1.5 || 40.9 || 17.2 || 36.4 || 5.6 || 17.2 || 11.1 ||232937|100724|405997|113607|139533|144005|228501|101480|131876|144759|419509|176479|243197|228529|372222|228431|206695|139366|159993|224147 || 13 || 386 || 99.7|07 || NULL || 882 */ /* column definitions { "unitid": "unique Education Unit ID number", "chronname": "Institution name", "city": "Institution city", "state": "Institution state", "level": "Level of institution", "control": "Control of institution", "basic": "Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version)", "hbcu": "Denotes Historically Black College and Universities", "flagship": "Denotes Public flagship institutions", "long_x": "Institution longitude", "lat_y": "Institution latitude", "site": "Institution Web site address", "student_count": "Total number of undergraduates in 2010", "awards_per_value": "Completions per 100 FTE (full-time equivalency) undergraduate students (average 2011, 2012, and 2013)", "awards_per_state_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, national sector average", "exp_award_value": "Estimated educational spending per academic award in 2013. Includes all certificates and degrees", "exp_award_state_value": "Spending per completion, state and sector average", "exp_award_natl_value": "Spending per completion, national sector average", "exp_award_percentile": "", "ft_pct": "Percentage of undergraduates who attend full-time", "fte_value": "total number of full-time equivalent undergraduates", "fte_percentile": "", "med_sat_value": "Median estimated SAT value for incoming students", "med_sat_percentile": "Institution's percent rank for median SAT value within sector", "aid_value": "The average amount of student aid going to undergraduate recipients", "aid_percentile": "Institution's percent rank for average amount of student aid going to undergraduate recipients within sector", "endow_value": "End-of-year endowment value per full-time equivalent student", "endow_percentile": "Institution's percent rank for endowment value per full-time equivalent student within sector", "grad_100_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_100_percentile": "Institution's percent rank for completers within 100 percent of normal time within sector", "grad_150_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_150_percentile": "Institution's percent rank for completers within 150 percent of normal time within sector", "pell_value": "percentage of undergraduates receiving a Pell Grant", "pell_percentile": "Institution's percent rank for undergraduate Pell recipients within sector", "retain_value": "share of freshman students retained for a second year", "retain_percentile": "Institution's percent rank for freshman retention percentage within sector", "ft_fac_value": "Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school", "ft_fac_percentile": "Institution's percent rank for full-time faculty share within sector ", "vsa_year": "Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability", "vsa_grad_after4_first": "First-time, full-time students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_first": "First-time, full-time students who graduated from another institution within four years", "vsa_enroll_after4_first": "First-time, full-time students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_first": "First-time, full-time students who are enrolled at another institution after four years", "vsa_grad_after6_first": "First-time, full-time students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_first": "First-time, full-time students who graduated from another institution within six years", "vsa_enroll_after6_first": "First-time, full-time students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_first": "First-time, full-time students who are enrolled at another institution after six years", "vsa_grad_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_enroll_after4_transfer": "Full-time transfer students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_transfer": "Full-time transfer students who are enrolled at another institution after four years", "vsa_grad_after6_transfer": "Full-time transfer students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_transfer": "Full-time transfer students who graduated from another institution within six years", "vsa_enroll_after6_transfer": "Full-time transfer students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_transfer": "Full-time transfer students who are enrolled at another institution after six years", "similar": "", "state_sector_ct": "", "carnegie_ct": "", "counted_pct": "", "nicknames": "", "cohort_size": "" }*/ CREATE TABLE institution_grads ( unitid INTEGER, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, foreign key (unitid) references institution_details(unitid) ) /* 1 example row: SELECT * FROM institution_grads LIMIT 1; unitid ||year ||gender ||race ||cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate 100760 ||2011 || B || X ||2y all || 446 || 73 || 105 || 16.4 || 23.5 */ /* column definitions { "unitid": "Education Unit ID number", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time" }*/ CREATE TABLE state_sector_grads ( stateid INTEGER, state TEXT, state_abbr TEXT, control TEXT, level TEXT, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, grad_cohort_ct INTEGER, foreign key (state) references institution_details(state), foreign key (stateid) references state_sector_details(stateid) ) /* 1 example row: SELECT * FROM state_sector_grads LIMIT 1; stateid || state ||state_abbr || control || level ||year ||gender ||race || cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate ||grad_cohort_ct 1 ||Alabama || AL ||Private for-profit ||4-year ||2011 || B || A ||4y bach || 0 || 0 || 0 || NULL || NULL || 9 */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_abbr": "", "control": "", "level": "Level of institution", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time", "grad_cohort_ct": "Number of institutions with data included in the cohort" }*/ CREATE TABLE "state_sector_details" ( stateid INTEGER, state TEXT references institution_details (state), state_post TEXT, level TEXT, control TEXT, schools_count INTEGER, counted_pct TEXT, awards_per_state_value TEXT, awards_per_natl_value REAL, exp_award_state_value TEXT, exp_award_natl_value INTEGER, state_appr_value TEXT, state_appr_rank TEXT, grad_rate_rank TEXT, awards_per_rank TEXT, primary key (stateid, level, control) ) /* 1 example row: SELECT * FROM state_sector_details LIMIT 1; stateid || state ||state_post || level ||control ||schools_count ||counted_pct ||awards_per_state_value ||awards_per_natl_value ||exp_award_state_value ||exp_award_natl_value ||state_appr_value ||state_appr_rank ||grad_rate_rank ||awards_per_rank 0 ||United States || U.S. ||4-year || Public || 632 || NULL || NULL || 21.5 || NULL || 66436 || NULL || NULL || 23 || NULL */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_post": "", "level": "Level of institution", "control": "", "schools_count": "", "counted_pct": "Percentage of students in the entering class (Fall 2007 at 4-year institutions, Fall 2010 at 2-year institutions) who are first-time, full-time, degree-seeking students and generally part of the official graduation rate", "awards_per_state_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, national sector average", "exp_award_state_value": "Spending per completion, state and sector average ", "exp_award_natl_value": "Spending per completion, national sector average", "state_appr_value": "State appropriations to higher education in fiscal year 2011 per resident", "state_appr_rank": "", "grad_rate_rank": "", "awards_per_rank": "" }*/
3,731
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE institution_details ( unitid INTEGER constraint institution_details_pk primary key, chronname TEXT, city TEXT, state TEXT, level TEXT, control TEXT, basic TEXT, hbcu TEXT, flagship TEXT, long_x REAL, lat_y REAL, site TEXT, student_count INTEGER, awards_per_value REAL, awards_per_state_value REAL, awards_per_natl_value REAL, exp_award_value INTEGER, exp_award_state_value INTEGER, exp_award_natl_value INTEGER, exp_award_percentile INTEGER, ft_pct REAL, fte_value INTEGER, fte_percentile INTEGER, med_sat_value TEXT, med_sat_percentile TEXT, aid_value INTEGER, aid_percentile INTEGER, endow_value TEXT, endow_percentile TEXT, grad_100_value REAL, grad_100_percentile INTEGER, grad_150_value REAL, grad_150_percentile INTEGER, pell_value REAL, pell_percentile INTEGER, retain_value REAL, retain_percentile INTEGER, ft_fac_value REAL, ft_fac_percentile INTEGER, vsa_year TEXT, vsa_grad_after4_first TEXT, vsa_grad_elsewhere_after4_first TEXT, vsa_enroll_after4_first TEXT, vsa_enroll_elsewhere_after4_first TEXT, vsa_grad_after6_first TEXT, vsa_grad_elsewhere_after6_first TEXT, vsa_enroll_after6_first TEXT, vsa_enroll_elsewhere_after6_first TEXT, vsa_grad_after4_transfer TEXT, vsa_grad_elsewhere_after4_transfer TEXT, vsa_enroll_after4_transfer TEXT, vsa_enroll_elsewhere_after4_transfer TEXT, vsa_grad_after6_transfer TEXT, vsa_grad_elsewhere_after6_transfer TEXT, vsa_enroll_after6_transfer TEXT, vsa_enroll_elsewhere_after6_transfer TEXT, similar TEXT, state_sector_ct INTEGER, carnegie_ct INTEGER, counted_pct TEXT, nicknames TEXT, cohort_size INTEGER ) /* 1 example row: SELECT * FROM institution_details LIMIT 1; unitid || chronname || city || state || level ||control || basic ||hbcu ||flagship || long_x || lat_y || site ||student_count ||awards_per_value ||awards_per_state_value ||awards_per_natl_value ||exp_award_value ||exp_award_state_value ||exp_award_natl_value ||exp_award_percentile ||ft_pct ||fte_value ||fte_percentile ||med_sat_value ||med_sat_percentile ||aid_value ||aid_percentile ||endow_value ||endow_percentile ||grad_100_value ||grad_100_percentile ||grad_150_value ||grad_150_percentile ||pell_value ||pell_percentile ||retain_value ||retain_percentile ||ft_fac_value ||ft_fac_percentile ||vsa_year ||vsa_grad_after4_first ||vsa_grad_elsewhere_after4_first ||vsa_enroll_after4_first ||vsa_enroll_elsewhere_after4_first ||vsa_grad_after6_first ||vsa_grad_elsewhere_after6_first ||vsa_enroll_after6_first ||vsa_enroll_elsewhere_after6_first ||vsa_grad_after4_transfer ||vsa_grad_elsewhere_after4_transfer ||vsa_enroll_after4_transfer ||vsa_enroll_elsewhere_after4_transfer ||vsa_grad_after6_transfer ||vsa_grad_elsewhere_after6_transfer ||vsa_enroll_after6_transfer ||vsa_enroll_elsewhere_after6_transfer || similar ||state_sector_ct ||carnegie_ct ||counted_pct ||nicknames ||cohort_size 100654 ||Alabama A&M University ||Normal ||Alabama ||4-year || Public ||Masters Colleges and Universities--larger programs || X || NULL ||-86.568502 ||34.783368 ||www.aamu.edu/ || 4051 || 14.2 || 18.8 || 21.5 || 105331 || 75743 || 66436 || 90 || 93.8 || 3906 || 33 || 823 || 0 || 7142 || 72 || NULL || NULL || 10.0 || 15 || 29.1 || 14 || 71.2 || 98 || 63.1 || 17 || 82.8 || 89 || 2010 || 14.7 || 2 || 36.5 || 16.1 || 33 || 5.3 || 12.5 || 14.6 || 15.7 || 1.5 || 40.9 || 17.2 || 36.4 || 5.6 || 17.2 || 11.1 ||232937|100724|405997|113607|139533|144005|228501|101480|131876|144759|419509|176479|243197|228529|372222|228431|206695|139366|159993|224147 || 13 || 386 || 99.7|07 || NULL || 882 */ /* column definitions { "unitid": "unique Education Unit ID number", "chronname": "Institution name", "city": "Institution city", "state": "Institution state", "level": "Level of institution", "control": "Control of institution", "basic": "Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version)", "hbcu": "Denotes Historically Black College and Universities", "flagship": "Denotes Public flagship institutions", "long_x": "Institution longitude", "lat_y": "Institution latitude", "site": "Institution Web site address", "student_count": "Total number of undergraduates in 2010", "awards_per_value": "Completions per 100 FTE (full-time equivalency) undergraduate students (average 2011, 2012, and 2013)", "awards_per_state_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, national sector average", "exp_award_value": "Estimated educational spending per academic award in 2013. Includes all certificates and degrees", "exp_award_state_value": "Spending per completion, state and sector average", "exp_award_natl_value": "Spending per completion, national sector average", "exp_award_percentile": "", "ft_pct": "Percentage of undergraduates who attend full-time", "fte_value": "total number of full-time equivalent undergraduates", "fte_percentile": "", "med_sat_value": "Median estimated SAT value for incoming students", "med_sat_percentile": "Institution's percent rank for median SAT value within sector", "aid_value": "The average amount of student aid going to undergraduate recipients", "aid_percentile": "Institution's percent rank for average amount of student aid going to undergraduate recipients within sector", "endow_value": "End-of-year endowment value per full-time equivalent student", "endow_percentile": "Institution's percent rank for endowment value per full-time equivalent student within sector", "grad_100_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_100_percentile": "Institution's percent rank for completers within 100 percent of normal time within sector", "grad_150_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_150_percentile": "Institution's percent rank for completers within 150 percent of normal time within sector", "pell_value": "percentage of undergraduates receiving a Pell Grant", "pell_percentile": "Institution's percent rank for undergraduate Pell recipients within sector", "retain_value": "share of freshman students retained for a second year", "retain_percentile": "Institution's percent rank for freshman retention percentage within sector", "ft_fac_value": "Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school", "ft_fac_percentile": "Institution's percent rank for full-time faculty share within sector ", "vsa_year": "Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability", "vsa_grad_after4_first": "First-time, full-time students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_first": "First-time, full-time students who graduated from another institution within four years", "vsa_enroll_after4_first": "First-time, full-time students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_first": "First-time, full-time students who are enrolled at another institution after four years", "vsa_grad_after6_first": "First-time, full-time students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_first": "First-time, full-time students who graduated from another institution within six years", "vsa_enroll_after6_first": "First-time, full-time students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_first": "First-time, full-time students who are enrolled at another institution after six years", "vsa_grad_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_enroll_after4_transfer": "Full-time transfer students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_transfer": "Full-time transfer students who are enrolled at another institution after four years", "vsa_grad_after6_transfer": "Full-time transfer students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_transfer": "Full-time transfer students who graduated from another institution within six years", "vsa_enroll_after6_transfer": "Full-time transfer students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_transfer": "Full-time transfer students who are enrolled at another institution after six years", "similar": "", "state_sector_ct": "", "carnegie_ct": "", "counted_pct": "", "nicknames": "", "cohort_size": "" }*/ CREATE TABLE institution_grads ( unitid INTEGER, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, foreign key (unitid) references institution_details(unitid) ) /* 1 example row: SELECT * FROM institution_grads LIMIT 1; unitid ||year ||gender ||race ||cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate 100760 ||2011 || B || X ||2y all || 446 || 73 || 105 || 16.4 || 23.5 */ /* column definitions { "unitid": "Education Unit ID number", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time" }*/ CREATE TABLE state_sector_grads ( stateid INTEGER, state TEXT, state_abbr TEXT, control TEXT, level TEXT, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, grad_cohort_ct INTEGER, foreign key (state) references institution_details(state), foreign key (stateid) references state_sector_details(stateid) ) /* 1 example row: SELECT * FROM state_sector_grads LIMIT 1; stateid || state ||state_abbr || control || level ||year ||gender ||race || cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate ||grad_cohort_ct 1 ||Alabama || AL ||Private for-profit ||4-year ||2011 || B || A ||4y bach || 0 || 0 || 0 || NULL || NULL || 9 */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_abbr": "", "control": "", "level": "Level of institution", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time", "grad_cohort_ct": "Number of institutions with data included in the cohort" }*/ CREATE TABLE "state_sector_details" ( stateid INTEGER, state TEXT references institution_details (state), state_post TEXT, level TEXT, control TEXT, schools_count INTEGER, counted_pct TEXT, awards_per_state_value TEXT, awards_per_natl_value REAL, exp_award_state_value TEXT, exp_award_natl_value INTEGER, state_appr_value TEXT, state_appr_rank TEXT, grad_rate_rank TEXT, awards_per_rank TEXT, primary key (stateid, level, control) ) /* 1 example row: SELECT * FROM state_sector_details LIMIT 1; stateid || state ||state_post || level ||control ||schools_count ||counted_pct ||awards_per_state_value ||awards_per_natl_value ||exp_award_state_value ||exp_award_natl_value ||state_appr_value ||state_appr_rank ||grad_rate_rank ||awards_per_rank 0 ||United States || U.S. ||4-year || Public || 632 || NULL || NULL || 21.5 || NULL || 66436 || NULL || NULL || 23 || NULL */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_post": "", "level": "Level of institution", "control": "", "schools_count": "", "counted_pct": "Percentage of students in the entering class (Fall 2007 at 4-year institutions, Fall 2010 at 2-year institutions) who are first-time, full-time, degree-seeking students and generally part of the official graduation rate", "awards_per_state_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, national sector average", "exp_award_state_value": "Spending per completion, state and sector average ", "exp_award_natl_value": "Spending per completion, national sector average", "state_appr_value": "State appropriations to higher education in fiscal year 2011 per resident", "state_appr_rank": "", "grad_rate_rank": "", "awards_per_rank": "" }*/ ### Question List down the states in 2011 with a national sector average of 20 and below. Clarification: in 2011 refers to year = '2011'; national sector average of 20 and below refers to awards_per_natl_value < 20;
[query_database(**{'query': 'SELECT DISTINCT T1.state FROM state_sector_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.stateid = T1.stateid WHERE T2.year = 2011 AND T1.awards_per_natl_value <= 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 institution_details ( unitid INTEGER constraint institution_details_pk primary key, chronname TEXT, city TEXT, state TEXT, level TEXT, control TEXT, basic TEXT, hbcu TEXT, flagship TEXT, long_x REAL, lat_y REAL, site TEXT, student_count INTEGER, awards_per_value REAL, awards_per_state_value REAL, awards_per_natl_value REAL, exp_award_value INTEGER, exp_award_state_value INTEGER, exp_award_natl_value INTEGER, exp_award_percentile INTEGER, ft_pct REAL, fte_value INTEGER, fte_percentile INTEGER, med_sat_value TEXT, med_sat_percentile TEXT, aid_value INTEGER, aid_percentile INTEGER, endow_value TEXT, endow_percentile TEXT, grad_100_value REAL, grad_100_percentile INTEGER, grad_150_value REAL, grad_150_percentile INTEGER, pell_value REAL, pell_percentile INTEGER, retain_value REAL, retain_percentile INTEGER, ft_fac_value REAL, ft_fac_percentile INTEGER, vsa_year TEXT, vsa_grad_after4_first TEXT, vsa_grad_elsewhere_after4_first TEXT, vsa_enroll_after4_first TEXT, vsa_enroll_elsewhere_after4_first TEXT, vsa_grad_after6_first TEXT, vsa_grad_elsewhere_after6_first TEXT, vsa_enroll_after6_first TEXT, vsa_enroll_elsewhere_after6_first TEXT, vsa_grad_after4_transfer TEXT, vsa_grad_elsewhere_after4_transfer TEXT, vsa_enroll_after4_transfer TEXT, vsa_enroll_elsewhere_after4_transfer TEXT, vsa_grad_after6_transfer TEXT, vsa_grad_elsewhere_after6_transfer TEXT, vsa_enroll_after6_transfer TEXT, vsa_enroll_elsewhere_after6_transfer TEXT, similar TEXT, state_sector_ct INTEGER, carnegie_ct INTEGER, counted_pct TEXT, nicknames TEXT, cohort_size INTEGER ) /* 1 example row: SELECT * FROM institution_details LIMIT 1; unitid || chronname || city || state || level ||control || basic ||hbcu ||flagship || long_x || lat_y || site ||student_count ||awards_per_value ||awards_per_state_value ||awards_per_natl_value ||exp_award_value ||exp_award_state_value ||exp_award_natl_value ||exp_award_percentile ||ft_pct ||fte_value ||fte_percentile ||med_sat_value ||med_sat_percentile ||aid_value ||aid_percentile ||endow_value ||endow_percentile ||grad_100_value ||grad_100_percentile ||grad_150_value ||grad_150_percentile ||pell_value ||pell_percentile ||retain_value ||retain_percentile ||ft_fac_value ||ft_fac_percentile ||vsa_year ||vsa_grad_after4_first ||vsa_grad_elsewhere_after4_first ||vsa_enroll_after4_first ||vsa_enroll_elsewhere_after4_first ||vsa_grad_after6_first ||vsa_grad_elsewhere_after6_first ||vsa_enroll_after6_first ||vsa_enroll_elsewhere_after6_first ||vsa_grad_after4_transfer ||vsa_grad_elsewhere_after4_transfer ||vsa_enroll_after4_transfer ||vsa_enroll_elsewhere_after4_transfer ||vsa_grad_after6_transfer ||vsa_grad_elsewhere_after6_transfer ||vsa_enroll_after6_transfer ||vsa_enroll_elsewhere_after6_transfer || similar ||state_sector_ct ||carnegie_ct ||counted_pct ||nicknames ||cohort_size 100654 ||Alabama A&M University ||Normal ||Alabama ||4-year || Public ||Masters Colleges and Universities--larger programs || X || NULL ||-86.568502 ||34.783368 ||www.aamu.edu/ || 4051 || 14.2 || 18.8 || 21.5 || 105331 || 75743 || 66436 || 90 || 93.8 || 3906 || 33 || 823 || 0 || 7142 || 72 || NULL || NULL || 10.0 || 15 || 29.1 || 14 || 71.2 || 98 || 63.1 || 17 || 82.8 || 89 || 2010 || 14.7 || 2 || 36.5 || 16.1 || 33 || 5.3 || 12.5 || 14.6 || 15.7 || 1.5 || 40.9 || 17.2 || 36.4 || 5.6 || 17.2 || 11.1 ||232937|100724|405997|113607|139533|144005|228501|101480|131876|144759|419509|176479|243197|228529|372222|228431|206695|139366|159993|224147 || 13 || 386 || 99.7|07 || NULL || 882 */ /* column definitions { "unitid": "unique Education Unit ID number", "chronname": "Institution name", "city": "Institution city", "state": "Institution state", "level": "Level of institution", "control": "Control of institution", "basic": "Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version)", "hbcu": "Denotes Historically Black College and Universities", "flagship": "Denotes Public flagship institutions", "long_x": "Institution longitude", "lat_y": "Institution latitude", "site": "Institution Web site address", "student_count": "Total number of undergraduates in 2010", "awards_per_value": "Completions per 100 FTE (full-time equivalency) undergraduate students (average 2011, 2012, and 2013)", "awards_per_state_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, national sector average", "exp_award_value": "Estimated educational spending per academic award in 2013. Includes all certificates and degrees", "exp_award_state_value": "Spending per completion, state and sector average", "exp_award_natl_value": "Spending per completion, national sector average", "exp_award_percentile": "", "ft_pct": "Percentage of undergraduates who attend full-time", "fte_value": "total number of full-time equivalent undergraduates", "fte_percentile": "", "med_sat_value": "Median estimated SAT value for incoming students", "med_sat_percentile": "Institution's percent rank for median SAT value within sector", "aid_value": "The average amount of student aid going to undergraduate recipients", "aid_percentile": "Institution's percent rank for average amount of student aid going to undergraduate recipients within sector", "endow_value": "End-of-year endowment value per full-time equivalent student", "endow_percentile": "Institution's percent rank for endowment value per full-time equivalent student within sector", "grad_100_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_100_percentile": "Institution's percent rank for completers within 100 percent of normal time within sector", "grad_150_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_150_percentile": "Institution's percent rank for completers within 150 percent of normal time within sector", "pell_value": "percentage of undergraduates receiving a Pell Grant", "pell_percentile": "Institution's percent rank for undergraduate Pell recipients within sector", "retain_value": "share of freshman students retained for a second year", "retain_percentile": "Institution's percent rank for freshman retention percentage within sector", "ft_fac_value": "Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school", "ft_fac_percentile": "Institution's percent rank for full-time faculty share within sector ", "vsa_year": "Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability", "vsa_grad_after4_first": "First-time, full-time students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_first": "First-time, full-time students who graduated from another institution within four years", "vsa_enroll_after4_first": "First-time, full-time students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_first": "First-time, full-time students who are enrolled at another institution after four years", "vsa_grad_after6_first": "First-time, full-time students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_first": "First-time, full-time students who graduated from another institution within six years", "vsa_enroll_after6_first": "First-time, full-time students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_first": "First-time, full-time students who are enrolled at another institution after six years", "vsa_grad_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_enroll_after4_transfer": "Full-time transfer students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_transfer": "Full-time transfer students who are enrolled at another institution after four years", "vsa_grad_after6_transfer": "Full-time transfer students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_transfer": "Full-time transfer students who graduated from another institution within six years", "vsa_enroll_after6_transfer": "Full-time transfer students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_transfer": "Full-time transfer students who are enrolled at another institution after six years", "similar": "", "state_sector_ct": "", "carnegie_ct": "", "counted_pct": "", "nicknames": "", "cohort_size": "" }*/ CREATE TABLE institution_grads ( unitid INTEGER, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, foreign key (unitid) references institution_details(unitid) ) /* 1 example row: SELECT * FROM institution_grads LIMIT 1; unitid ||year ||gender ||race ||cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate 100760 ||2011 || B || X ||2y all || 446 || 73 || 105 || 16.4 || 23.5 */ /* column definitions { "unitid": "Education Unit ID number", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time" }*/ CREATE TABLE state_sector_grads ( stateid INTEGER, state TEXT, state_abbr TEXT, control TEXT, level TEXT, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, grad_cohort_ct INTEGER, foreign key (state) references institution_details(state), foreign key (stateid) references state_sector_details(stateid) ) /* 1 example row: SELECT * FROM state_sector_grads LIMIT 1; stateid || state ||state_abbr || control || level ||year ||gender ||race || cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate ||grad_cohort_ct 1 ||Alabama || AL ||Private for-profit ||4-year ||2011 || B || A ||4y bach || 0 || 0 || 0 || NULL || NULL || 9 */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_abbr": "", "control": "", "level": "Level of institution", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time", "grad_cohort_ct": "Number of institutions with data included in the cohort" }*/ CREATE TABLE "state_sector_details" ( stateid INTEGER, state TEXT references institution_details (state), state_post TEXT, level TEXT, control TEXT, schools_count INTEGER, counted_pct TEXT, awards_per_state_value TEXT, awards_per_natl_value REAL, exp_award_state_value TEXT, exp_award_natl_value INTEGER, state_appr_value TEXT, state_appr_rank TEXT, grad_rate_rank TEXT, awards_per_rank TEXT, primary key (stateid, level, control) ) /* 1 example row: SELECT * FROM state_sector_details LIMIT 1; stateid || state ||state_post || level ||control ||schools_count ||counted_pct ||awards_per_state_value ||awards_per_natl_value ||exp_award_state_value ||exp_award_natl_value ||state_appr_value ||state_appr_rank ||grad_rate_rank ||awards_per_rank 0 ||United States || U.S. ||4-year || Public || 632 || NULL || NULL || 21.5 || NULL || 66436 || NULL || NULL || 23 || NULL */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_post": "", "level": "Level of institution", "control": "", "schools_count": "", "counted_pct": "Percentage of students in the entering class (Fall 2007 at 4-year institutions, Fall 2010 at 2-year institutions) who are first-time, full-time, degree-seeking students and generally part of the official graduation rate", "awards_per_state_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, national sector average", "exp_award_state_value": "Spending per completion, state and sector average ", "exp_award_natl_value": "Spending per completion, national sector average", "state_appr_value": "State appropriations to higher education in fiscal year 2011 per resident", "state_appr_rank": "", "grad_rate_rank": "", "awards_per_rank": "" }*/
3,735
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE institution_details ( unitid INTEGER constraint institution_details_pk primary key, chronname TEXT, city TEXT, state TEXT, level TEXT, control TEXT, basic TEXT, hbcu TEXT, flagship TEXT, long_x REAL, lat_y REAL, site TEXT, student_count INTEGER, awards_per_value REAL, awards_per_state_value REAL, awards_per_natl_value REAL, exp_award_value INTEGER, exp_award_state_value INTEGER, exp_award_natl_value INTEGER, exp_award_percentile INTEGER, ft_pct REAL, fte_value INTEGER, fte_percentile INTEGER, med_sat_value TEXT, med_sat_percentile TEXT, aid_value INTEGER, aid_percentile INTEGER, endow_value TEXT, endow_percentile TEXT, grad_100_value REAL, grad_100_percentile INTEGER, grad_150_value REAL, grad_150_percentile INTEGER, pell_value REAL, pell_percentile INTEGER, retain_value REAL, retain_percentile INTEGER, ft_fac_value REAL, ft_fac_percentile INTEGER, vsa_year TEXT, vsa_grad_after4_first TEXT, vsa_grad_elsewhere_after4_first TEXT, vsa_enroll_after4_first TEXT, vsa_enroll_elsewhere_after4_first TEXT, vsa_grad_after6_first TEXT, vsa_grad_elsewhere_after6_first TEXT, vsa_enroll_after6_first TEXT, vsa_enroll_elsewhere_after6_first TEXT, vsa_grad_after4_transfer TEXT, vsa_grad_elsewhere_after4_transfer TEXT, vsa_enroll_after4_transfer TEXT, vsa_enroll_elsewhere_after4_transfer TEXT, vsa_grad_after6_transfer TEXT, vsa_grad_elsewhere_after6_transfer TEXT, vsa_enroll_after6_transfer TEXT, vsa_enroll_elsewhere_after6_transfer TEXT, similar TEXT, state_sector_ct INTEGER, carnegie_ct INTEGER, counted_pct TEXT, nicknames TEXT, cohort_size INTEGER ) /* 1 example row: SELECT * FROM institution_details LIMIT 1; unitid || chronname || city || state || level ||control || basic ||hbcu ||flagship || long_x || lat_y || site ||student_count ||awards_per_value ||awards_per_state_value ||awards_per_natl_value ||exp_award_value ||exp_award_state_value ||exp_award_natl_value ||exp_award_percentile ||ft_pct ||fte_value ||fte_percentile ||med_sat_value ||med_sat_percentile ||aid_value ||aid_percentile ||endow_value ||endow_percentile ||grad_100_value ||grad_100_percentile ||grad_150_value ||grad_150_percentile ||pell_value ||pell_percentile ||retain_value ||retain_percentile ||ft_fac_value ||ft_fac_percentile ||vsa_year ||vsa_grad_after4_first ||vsa_grad_elsewhere_after4_first ||vsa_enroll_after4_first ||vsa_enroll_elsewhere_after4_first ||vsa_grad_after6_first ||vsa_grad_elsewhere_after6_first ||vsa_enroll_after6_first ||vsa_enroll_elsewhere_after6_first ||vsa_grad_after4_transfer ||vsa_grad_elsewhere_after4_transfer ||vsa_enroll_after4_transfer ||vsa_enroll_elsewhere_after4_transfer ||vsa_grad_after6_transfer ||vsa_grad_elsewhere_after6_transfer ||vsa_enroll_after6_transfer ||vsa_enroll_elsewhere_after6_transfer || similar ||state_sector_ct ||carnegie_ct ||counted_pct ||nicknames ||cohort_size 100654 ||Alabama A&M University ||Normal ||Alabama ||4-year || Public ||Masters Colleges and Universities--larger programs || X || NULL ||-86.568502 ||34.783368 ||www.aamu.edu/ || 4051 || 14.2 || 18.8 || 21.5 || 105331 || 75743 || 66436 || 90 || 93.8 || 3906 || 33 || 823 || 0 || 7142 || 72 || NULL || NULL || 10.0 || 15 || 29.1 || 14 || 71.2 || 98 || 63.1 || 17 || 82.8 || 89 || 2010 || 14.7 || 2 || 36.5 || 16.1 || 33 || 5.3 || 12.5 || 14.6 || 15.7 || 1.5 || 40.9 || 17.2 || 36.4 || 5.6 || 17.2 || 11.1 ||232937|100724|405997|113607|139533|144005|228501|101480|131876|144759|419509|176479|243197|228529|372222|228431|206695|139366|159993|224147 || 13 || 386 || 99.7|07 || NULL || 882 */ /* column definitions { "unitid": "unique Education Unit ID number", "chronname": "Institution name", "city": "Institution city", "state": "Institution state", "level": "Level of institution", "control": "Control of institution", "basic": "Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version)", "hbcu": "Denotes Historically Black College and Universities", "flagship": "Denotes Public flagship institutions", "long_x": "Institution longitude", "lat_y": "Institution latitude", "site": "Institution Web site address", "student_count": "Total number of undergraduates in 2010", "awards_per_value": "Completions per 100 FTE (full-time equivalency) undergraduate students (average 2011, 2012, and 2013)", "awards_per_state_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, national sector average", "exp_award_value": "Estimated educational spending per academic award in 2013. Includes all certificates and degrees", "exp_award_state_value": "Spending per completion, state and sector average", "exp_award_natl_value": "Spending per completion, national sector average", "exp_award_percentile": "", "ft_pct": "Percentage of undergraduates who attend full-time", "fte_value": "total number of full-time equivalent undergraduates", "fte_percentile": "", "med_sat_value": "Median estimated SAT value for incoming students", "med_sat_percentile": "Institution's percent rank for median SAT value within sector", "aid_value": "The average amount of student aid going to undergraduate recipients", "aid_percentile": "Institution's percent rank for average amount of student aid going to undergraduate recipients within sector", "endow_value": "End-of-year endowment value per full-time equivalent student", "endow_percentile": "Institution's percent rank for endowment value per full-time equivalent student within sector", "grad_100_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_100_percentile": "Institution's percent rank for completers within 100 percent of normal time within sector", "grad_150_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_150_percentile": "Institution's percent rank for completers within 150 percent of normal time within sector", "pell_value": "percentage of undergraduates receiving a Pell Grant", "pell_percentile": "Institution's percent rank for undergraduate Pell recipients within sector", "retain_value": "share of freshman students retained for a second year", "retain_percentile": "Institution's percent rank for freshman retention percentage within sector", "ft_fac_value": "Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school", "ft_fac_percentile": "Institution's percent rank for full-time faculty share within sector ", "vsa_year": "Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability", "vsa_grad_after4_first": "First-time, full-time students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_first": "First-time, full-time students who graduated from another institution within four years", "vsa_enroll_after4_first": "First-time, full-time students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_first": "First-time, full-time students who are enrolled at another institution after four years", "vsa_grad_after6_first": "First-time, full-time students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_first": "First-time, full-time students who graduated from another institution within six years", "vsa_enroll_after6_first": "First-time, full-time students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_first": "First-time, full-time students who are enrolled at another institution after six years", "vsa_grad_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_enroll_after4_transfer": "Full-time transfer students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_transfer": "Full-time transfer students who are enrolled at another institution after four years", "vsa_grad_after6_transfer": "Full-time transfer students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_transfer": "Full-time transfer students who graduated from another institution within six years", "vsa_enroll_after6_transfer": "Full-time transfer students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_transfer": "Full-time transfer students who are enrolled at another institution after six years", "similar": "", "state_sector_ct": "", "carnegie_ct": "", "counted_pct": "", "nicknames": "", "cohort_size": "" }*/ CREATE TABLE institution_grads ( unitid INTEGER, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, foreign key (unitid) references institution_details(unitid) ) /* 1 example row: SELECT * FROM institution_grads LIMIT 1; unitid ||year ||gender ||race ||cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate 100760 ||2011 || B || X ||2y all || 446 || 73 || 105 || 16.4 || 23.5 */ /* column definitions { "unitid": "Education Unit ID number", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time" }*/ CREATE TABLE state_sector_grads ( stateid INTEGER, state TEXT, state_abbr TEXT, control TEXT, level TEXT, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, grad_cohort_ct INTEGER, foreign key (state) references institution_details(state), foreign key (stateid) references state_sector_details(stateid) ) /* 1 example row: SELECT * FROM state_sector_grads LIMIT 1; stateid || state ||state_abbr || control || level ||year ||gender ||race || cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate ||grad_cohort_ct 1 ||Alabama || AL ||Private for-profit ||4-year ||2011 || B || A ||4y bach || 0 || 0 || 0 || NULL || NULL || 9 */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_abbr": "", "control": "", "level": "Level of institution", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time", "grad_cohort_ct": "Number of institutions with data included in the cohort" }*/ CREATE TABLE "state_sector_details" ( stateid INTEGER, state TEXT references institution_details (state), state_post TEXT, level TEXT, control TEXT, schools_count INTEGER, counted_pct TEXT, awards_per_state_value TEXT, awards_per_natl_value REAL, exp_award_state_value TEXT, exp_award_natl_value INTEGER, state_appr_value TEXT, state_appr_rank TEXT, grad_rate_rank TEXT, awards_per_rank TEXT, primary key (stateid, level, control) ) /* 1 example row: SELECT * FROM state_sector_details LIMIT 1; stateid || state ||state_post || level ||control ||schools_count ||counted_pct ||awards_per_state_value ||awards_per_natl_value ||exp_award_state_value ||exp_award_natl_value ||state_appr_value ||state_appr_rank ||grad_rate_rank ||awards_per_rank 0 ||United States || U.S. ||4-year || Public || 632 || NULL || NULL || 21.5 || NULL || 66436 || NULL || NULL || 23 || NULL */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_post": "", "level": "Level of institution", "control": "", "schools_count": "", "counted_pct": "Percentage of students in the entering class (Fall 2007 at 4-year institutions, Fall 2010 at 2-year institutions) who are first-time, full-time, degree-seeking students and generally part of the official graduation rate", "awards_per_state_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, national sector average", "exp_award_state_value": "Spending per completion, state and sector average ", "exp_award_natl_value": "Spending per completion, national sector average", "state_appr_value": "State appropriations to higher education in fiscal year 2011 per resident", "state_appr_rank": "", "grad_rate_rank": "", "awards_per_rank": "" }*/ ### Question In Alaska with school count of 1 from year 2011 to 2013, how many of the students are white? Clarification: Alaska refers to state = 'Alaska'; from year 2011 to 2013 refers to year BETWEEN '2011' AND '2013'; white refers to race = 'W';
[query_database(**{'query': 'SELECT COUNT(T2.race) FROM state_sector_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.stateid = T1.stateid WHERE T1.schools_count = 1 AND T2.year BETWEEN 2011 AND 2013 AND T2.race = 'W' AND T1.state = 'Alaska''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE institution_details ( unitid INTEGER constraint institution_details_pk primary key, chronname TEXT, city TEXT, state TEXT, level TEXT, control TEXT, basic TEXT, hbcu TEXT, flagship TEXT, long_x REAL, lat_y REAL, site TEXT, student_count INTEGER, awards_per_value REAL, awards_per_state_value REAL, awards_per_natl_value REAL, exp_award_value INTEGER, exp_award_state_value INTEGER, exp_award_natl_value INTEGER, exp_award_percentile INTEGER, ft_pct REAL, fte_value INTEGER, fte_percentile INTEGER, med_sat_value TEXT, med_sat_percentile TEXT, aid_value INTEGER, aid_percentile INTEGER, endow_value TEXT, endow_percentile TEXT, grad_100_value REAL, grad_100_percentile INTEGER, grad_150_value REAL, grad_150_percentile INTEGER, pell_value REAL, pell_percentile INTEGER, retain_value REAL, retain_percentile INTEGER, ft_fac_value REAL, ft_fac_percentile INTEGER, vsa_year TEXT, vsa_grad_after4_first TEXT, vsa_grad_elsewhere_after4_first TEXT, vsa_enroll_after4_first TEXT, vsa_enroll_elsewhere_after4_first TEXT, vsa_grad_after6_first TEXT, vsa_grad_elsewhere_after6_first TEXT, vsa_enroll_after6_first TEXT, vsa_enroll_elsewhere_after6_first TEXT, vsa_grad_after4_transfer TEXT, vsa_grad_elsewhere_after4_transfer TEXT, vsa_enroll_after4_transfer TEXT, vsa_enroll_elsewhere_after4_transfer TEXT, vsa_grad_after6_transfer TEXT, vsa_grad_elsewhere_after6_transfer TEXT, vsa_enroll_after6_transfer TEXT, vsa_enroll_elsewhere_after6_transfer TEXT, similar TEXT, state_sector_ct INTEGER, carnegie_ct INTEGER, counted_pct TEXT, nicknames TEXT, cohort_size INTEGER ) /* 1 example row: SELECT * FROM institution_details LIMIT 1; unitid || chronname || city || state || level ||control || basic ||hbcu ||flagship || long_x || lat_y || site ||student_count ||awards_per_value ||awards_per_state_value ||awards_per_natl_value ||exp_award_value ||exp_award_state_value ||exp_award_natl_value ||exp_award_percentile ||ft_pct ||fte_value ||fte_percentile ||med_sat_value ||med_sat_percentile ||aid_value ||aid_percentile ||endow_value ||endow_percentile ||grad_100_value ||grad_100_percentile ||grad_150_value ||grad_150_percentile ||pell_value ||pell_percentile ||retain_value ||retain_percentile ||ft_fac_value ||ft_fac_percentile ||vsa_year ||vsa_grad_after4_first ||vsa_grad_elsewhere_after4_first ||vsa_enroll_after4_first ||vsa_enroll_elsewhere_after4_first ||vsa_grad_after6_first ||vsa_grad_elsewhere_after6_first ||vsa_enroll_after6_first ||vsa_enroll_elsewhere_after6_first ||vsa_grad_after4_transfer ||vsa_grad_elsewhere_after4_transfer ||vsa_enroll_after4_transfer ||vsa_enroll_elsewhere_after4_transfer ||vsa_grad_after6_transfer ||vsa_grad_elsewhere_after6_transfer ||vsa_enroll_after6_transfer ||vsa_enroll_elsewhere_after6_transfer || similar ||state_sector_ct ||carnegie_ct ||counted_pct ||nicknames ||cohort_size 100654 ||Alabama A&M University ||Normal ||Alabama ||4-year || Public ||Masters Colleges and Universities--larger programs || X || NULL ||-86.568502 ||34.783368 ||www.aamu.edu/ || 4051 || 14.2 || 18.8 || 21.5 || 105331 || 75743 || 66436 || 90 || 93.8 || 3906 || 33 || 823 || 0 || 7142 || 72 || NULL || NULL || 10.0 || 15 || 29.1 || 14 || 71.2 || 98 || 63.1 || 17 || 82.8 || 89 || 2010 || 14.7 || 2 || 36.5 || 16.1 || 33 || 5.3 || 12.5 || 14.6 || 15.7 || 1.5 || 40.9 || 17.2 || 36.4 || 5.6 || 17.2 || 11.1 ||232937|100724|405997|113607|139533|144005|228501|101480|131876|144759|419509|176479|243197|228529|372222|228431|206695|139366|159993|224147 || 13 || 386 || 99.7|07 || NULL || 882 */ /* column definitions { "unitid": "unique Education Unit ID number", "chronname": "Institution name", "city": "Institution city", "state": "Institution state", "level": "Level of institution", "control": "Control of institution", "basic": "Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version)", "hbcu": "Denotes Historically Black College and Universities", "flagship": "Denotes Public flagship institutions", "long_x": "Institution longitude", "lat_y": "Institution latitude", "site": "Institution Web site address", "student_count": "Total number of undergraduates in 2010", "awards_per_value": "Completions per 100 FTE (full-time equivalency) undergraduate students (average 2011, 2012, and 2013)", "awards_per_state_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, national sector average", "exp_award_value": "Estimated educational spending per academic award in 2013. Includes all certificates and degrees", "exp_award_state_value": "Spending per completion, state and sector average", "exp_award_natl_value": "Spending per completion, national sector average", "exp_award_percentile": "", "ft_pct": "Percentage of undergraduates who attend full-time", "fte_value": "total number of full-time equivalent undergraduates", "fte_percentile": "", "med_sat_value": "Median estimated SAT value for incoming students", "med_sat_percentile": "Institution's percent rank for median SAT value within sector", "aid_value": "The average amount of student aid going to undergraduate recipients", "aid_percentile": "Institution's percent rank for average amount of student aid going to undergraduate recipients within sector", "endow_value": "End-of-year endowment value per full-time equivalent student", "endow_percentile": "Institution's percent rank for endowment value per full-time equivalent student within sector", "grad_100_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_100_percentile": "Institution's percent rank for completers within 100 percent of normal time within sector", "grad_150_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_150_percentile": "Institution's percent rank for completers within 150 percent of normal time within sector", "pell_value": "percentage of undergraduates receiving a Pell Grant", "pell_percentile": "Institution's percent rank for undergraduate Pell recipients within sector", "retain_value": "share of freshman students retained for a second year", "retain_percentile": "Institution's percent rank for freshman retention percentage within sector", "ft_fac_value": "Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school", "ft_fac_percentile": "Institution's percent rank for full-time faculty share within sector ", "vsa_year": "Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability", "vsa_grad_after4_first": "First-time, full-time students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_first": "First-time, full-time students who graduated from another institution within four years", "vsa_enroll_after4_first": "First-time, full-time students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_first": "First-time, full-time students who are enrolled at another institution after four years", "vsa_grad_after6_first": "First-time, full-time students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_first": "First-time, full-time students who graduated from another institution within six years", "vsa_enroll_after6_first": "First-time, full-time students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_first": "First-time, full-time students who are enrolled at another institution after six years", "vsa_grad_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_enroll_after4_transfer": "Full-time transfer students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_transfer": "Full-time transfer students who are enrolled at another institution after four years", "vsa_grad_after6_transfer": "Full-time transfer students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_transfer": "Full-time transfer students who graduated from another institution within six years", "vsa_enroll_after6_transfer": "Full-time transfer students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_transfer": "Full-time transfer students who are enrolled at another institution after six years", "similar": "", "state_sector_ct": "", "carnegie_ct": "", "counted_pct": "", "nicknames": "", "cohort_size": "" }*/ CREATE TABLE institution_grads ( unitid INTEGER, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, foreign key (unitid) references institution_details(unitid) ) /* 1 example row: SELECT * FROM institution_grads LIMIT 1; unitid ||year ||gender ||race ||cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate 100760 ||2011 || B || X ||2y all || 446 || 73 || 105 || 16.4 || 23.5 */ /* column definitions { "unitid": "Education Unit ID number", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time" }*/ CREATE TABLE state_sector_grads ( stateid INTEGER, state TEXT, state_abbr TEXT, control TEXT, level TEXT, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, grad_cohort_ct INTEGER, foreign key (state) references institution_details(state), foreign key (stateid) references state_sector_details(stateid) ) /* 1 example row: SELECT * FROM state_sector_grads LIMIT 1; stateid || state ||state_abbr || control || level ||year ||gender ||race || cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate ||grad_cohort_ct 1 ||Alabama || AL ||Private for-profit ||4-year ||2011 || B || A ||4y bach || 0 || 0 || 0 || NULL || NULL || 9 */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_abbr": "", "control": "", "level": "Level of institution", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time", "grad_cohort_ct": "Number of institutions with data included in the cohort" }*/ CREATE TABLE "state_sector_details" ( stateid INTEGER, state TEXT references institution_details (state), state_post TEXT, level TEXT, control TEXT, schools_count INTEGER, counted_pct TEXT, awards_per_state_value TEXT, awards_per_natl_value REAL, exp_award_state_value TEXT, exp_award_natl_value INTEGER, state_appr_value TEXT, state_appr_rank TEXT, grad_rate_rank TEXT, awards_per_rank TEXT, primary key (stateid, level, control) ) /* 1 example row: SELECT * FROM state_sector_details LIMIT 1; stateid || state ||state_post || level ||control ||schools_count ||counted_pct ||awards_per_state_value ||awards_per_natl_value ||exp_award_state_value ||exp_award_natl_value ||state_appr_value ||state_appr_rank ||grad_rate_rank ||awards_per_rank 0 ||United States || U.S. ||4-year || Public || 632 || NULL || NULL || 21.5 || NULL || 66436 || NULL || NULL || 23 || NULL */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_post": "", "level": "Level of institution", "control": "", "schools_count": "", "counted_pct": "Percentage of students in the entering class (Fall 2007 at 4-year institutions, Fall 2010 at 2-year institutions) who are first-time, full-time, degree-seeking students and generally part of the official graduation rate", "awards_per_state_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, national sector average", "exp_award_state_value": "Spending per completion, state and sector average ", "exp_award_natl_value": "Spending per completion, national sector average", "state_appr_value": "State appropriations to higher education in fiscal year 2011 per resident", "state_appr_rank": "", "grad_rate_rank": "", "awards_per_rank": "" }*/
3,739
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE institution_details ( unitid INTEGER constraint institution_details_pk primary key, chronname TEXT, city TEXT, state TEXT, level TEXT, control TEXT, basic TEXT, hbcu TEXT, flagship TEXT, long_x REAL, lat_y REAL, site TEXT, student_count INTEGER, awards_per_value REAL, awards_per_state_value REAL, awards_per_natl_value REAL, exp_award_value INTEGER, exp_award_state_value INTEGER, exp_award_natl_value INTEGER, exp_award_percentile INTEGER, ft_pct REAL, fte_value INTEGER, fte_percentile INTEGER, med_sat_value TEXT, med_sat_percentile TEXT, aid_value INTEGER, aid_percentile INTEGER, endow_value TEXT, endow_percentile TEXT, grad_100_value REAL, grad_100_percentile INTEGER, grad_150_value REAL, grad_150_percentile INTEGER, pell_value REAL, pell_percentile INTEGER, retain_value REAL, retain_percentile INTEGER, ft_fac_value REAL, ft_fac_percentile INTEGER, vsa_year TEXT, vsa_grad_after4_first TEXT, vsa_grad_elsewhere_after4_first TEXT, vsa_enroll_after4_first TEXT, vsa_enroll_elsewhere_after4_first TEXT, vsa_grad_after6_first TEXT, vsa_grad_elsewhere_after6_first TEXT, vsa_enroll_after6_first TEXT, vsa_enroll_elsewhere_after6_first TEXT, vsa_grad_after4_transfer TEXT, vsa_grad_elsewhere_after4_transfer TEXT, vsa_enroll_after4_transfer TEXT, vsa_enroll_elsewhere_after4_transfer TEXT, vsa_grad_after6_transfer TEXT, vsa_grad_elsewhere_after6_transfer TEXT, vsa_enroll_after6_transfer TEXT, vsa_enroll_elsewhere_after6_transfer TEXT, similar TEXT, state_sector_ct INTEGER, carnegie_ct INTEGER, counted_pct TEXT, nicknames TEXT, cohort_size INTEGER ) /* 1 example row: SELECT * FROM institution_details LIMIT 1; unitid || chronname || city || state || level ||control || basic ||hbcu ||flagship || long_x || lat_y || site ||student_count ||awards_per_value ||awards_per_state_value ||awards_per_natl_value ||exp_award_value ||exp_award_state_value ||exp_award_natl_value ||exp_award_percentile ||ft_pct ||fte_value ||fte_percentile ||med_sat_value ||med_sat_percentile ||aid_value ||aid_percentile ||endow_value ||endow_percentile ||grad_100_value ||grad_100_percentile ||grad_150_value ||grad_150_percentile ||pell_value ||pell_percentile ||retain_value ||retain_percentile ||ft_fac_value ||ft_fac_percentile ||vsa_year ||vsa_grad_after4_first ||vsa_grad_elsewhere_after4_first ||vsa_enroll_after4_first ||vsa_enroll_elsewhere_after4_first ||vsa_grad_after6_first ||vsa_grad_elsewhere_after6_first ||vsa_enroll_after6_first ||vsa_enroll_elsewhere_after6_first ||vsa_grad_after4_transfer ||vsa_grad_elsewhere_after4_transfer ||vsa_enroll_after4_transfer ||vsa_enroll_elsewhere_after4_transfer ||vsa_grad_after6_transfer ||vsa_grad_elsewhere_after6_transfer ||vsa_enroll_after6_transfer ||vsa_enroll_elsewhere_after6_transfer || similar ||state_sector_ct ||carnegie_ct ||counted_pct ||nicknames ||cohort_size 100654 ||Alabama A&M University ||Normal ||Alabama ||4-year || Public ||Masters Colleges and Universities--larger programs || X || NULL ||-86.568502 ||34.783368 ||www.aamu.edu/ || 4051 || 14.2 || 18.8 || 21.5 || 105331 || 75743 || 66436 || 90 || 93.8 || 3906 || 33 || 823 || 0 || 7142 || 72 || NULL || NULL || 10.0 || 15 || 29.1 || 14 || 71.2 || 98 || 63.1 || 17 || 82.8 || 89 || 2010 || 14.7 || 2 || 36.5 || 16.1 || 33 || 5.3 || 12.5 || 14.6 || 15.7 || 1.5 || 40.9 || 17.2 || 36.4 || 5.6 || 17.2 || 11.1 ||232937|100724|405997|113607|139533|144005|228501|101480|131876|144759|419509|176479|243197|228529|372222|228431|206695|139366|159993|224147 || 13 || 386 || 99.7|07 || NULL || 882 */ /* column definitions { "unitid": "unique Education Unit ID number", "chronname": "Institution name", "city": "Institution city", "state": "Institution state", "level": "Level of institution", "control": "Control of institution", "basic": "Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version)", "hbcu": "Denotes Historically Black College and Universities", "flagship": "Denotes Public flagship institutions", "long_x": "Institution longitude", "lat_y": "Institution latitude", "site": "Institution Web site address", "student_count": "Total number of undergraduates in 2010", "awards_per_value": "Completions per 100 FTE (full-time equivalency) undergraduate students (average 2011, 2012, and 2013)", "awards_per_state_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, national sector average", "exp_award_value": "Estimated educational spending per academic award in 2013. Includes all certificates and degrees", "exp_award_state_value": "Spending per completion, state and sector average", "exp_award_natl_value": "Spending per completion, national sector average", "exp_award_percentile": "", "ft_pct": "Percentage of undergraduates who attend full-time", "fte_value": "total number of full-time equivalent undergraduates", "fte_percentile": "", "med_sat_value": "Median estimated SAT value for incoming students", "med_sat_percentile": "Institution's percent rank for median SAT value within sector", "aid_value": "The average amount of student aid going to undergraduate recipients", "aid_percentile": "Institution's percent rank for average amount of student aid going to undergraduate recipients within sector", "endow_value": "End-of-year endowment value per full-time equivalent student", "endow_percentile": "Institution's percent rank for endowment value per full-time equivalent student within sector", "grad_100_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_100_percentile": "Institution's percent rank for completers within 100 percent of normal time within sector", "grad_150_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_150_percentile": "Institution's percent rank for completers within 150 percent of normal time within sector", "pell_value": "percentage of undergraduates receiving a Pell Grant", "pell_percentile": "Institution's percent rank for undergraduate Pell recipients within sector", "retain_value": "share of freshman students retained for a second year", "retain_percentile": "Institution's percent rank for freshman retention percentage within sector", "ft_fac_value": "Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school", "ft_fac_percentile": "Institution's percent rank for full-time faculty share within sector ", "vsa_year": "Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability", "vsa_grad_after4_first": "First-time, full-time students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_first": "First-time, full-time students who graduated from another institution within four years", "vsa_enroll_after4_first": "First-time, full-time students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_first": "First-time, full-time students who are enrolled at another institution after four years", "vsa_grad_after6_first": "First-time, full-time students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_first": "First-time, full-time students who graduated from another institution within six years", "vsa_enroll_after6_first": "First-time, full-time students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_first": "First-time, full-time students who are enrolled at another institution after six years", "vsa_grad_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_enroll_after4_transfer": "Full-time transfer students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_transfer": "Full-time transfer students who are enrolled at another institution after four years", "vsa_grad_after6_transfer": "Full-time transfer students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_transfer": "Full-time transfer students who graduated from another institution within six years", "vsa_enroll_after6_transfer": "Full-time transfer students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_transfer": "Full-time transfer students who are enrolled at another institution after six years", "similar": "", "state_sector_ct": "", "carnegie_ct": "", "counted_pct": "", "nicknames": "", "cohort_size": "" }*/ CREATE TABLE institution_grads ( unitid INTEGER, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, foreign key (unitid) references institution_details(unitid) ) /* 1 example row: SELECT * FROM institution_grads LIMIT 1; unitid ||year ||gender ||race ||cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate 100760 ||2011 || B || X ||2y all || 446 || 73 || 105 || 16.4 || 23.5 */ /* column definitions { "unitid": "Education Unit ID number", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time" }*/ CREATE TABLE state_sector_grads ( stateid INTEGER, state TEXT, state_abbr TEXT, control TEXT, level TEXT, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, grad_cohort_ct INTEGER, foreign key (state) references institution_details(state), foreign key (stateid) references state_sector_details(stateid) ) /* 1 example row: SELECT * FROM state_sector_grads LIMIT 1; stateid || state ||state_abbr || control || level ||year ||gender ||race || cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate ||grad_cohort_ct 1 ||Alabama || AL ||Private for-profit ||4-year ||2011 || B || A ||4y bach || 0 || 0 || 0 || NULL || NULL || 9 */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_abbr": "", "control": "", "level": "Level of institution", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time", "grad_cohort_ct": "Number of institutions with data included in the cohort" }*/ CREATE TABLE "state_sector_details" ( stateid INTEGER, state TEXT references institution_details (state), state_post TEXT, level TEXT, control TEXT, schools_count INTEGER, counted_pct TEXT, awards_per_state_value TEXT, awards_per_natl_value REAL, exp_award_state_value TEXT, exp_award_natl_value INTEGER, state_appr_value TEXT, state_appr_rank TEXT, grad_rate_rank TEXT, awards_per_rank TEXT, primary key (stateid, level, control) ) /* 1 example row: SELECT * FROM state_sector_details LIMIT 1; stateid || state ||state_post || level ||control ||schools_count ||counted_pct ||awards_per_state_value ||awards_per_natl_value ||exp_award_state_value ||exp_award_natl_value ||state_appr_value ||state_appr_rank ||grad_rate_rank ||awards_per_rank 0 ||United States || U.S. ||4-year || Public || 632 || NULL || NULL || 21.5 || NULL || 66436 || NULL || NULL || 23 || NULL */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_post": "", "level": "Level of institution", "control": "", "schools_count": "", "counted_pct": "Percentage of students in the entering class (Fall 2007 at 4-year institutions, Fall 2010 at 2-year institutions) who are first-time, full-time, degree-seeking students and generally part of the official graduation rate", "awards_per_state_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, national sector average", "exp_award_state_value": "Spending per completion, state and sector average ", "exp_award_natl_value": "Spending per completion, national sector average", "state_appr_value": "State appropriations to higher education in fiscal year 2011 per resident", "state_appr_rank": "", "grad_rate_rank": "", "awards_per_rank": "" }*/ ### Question What is the state name of male graduate in 2011 from a private for profit institution with black students? Clarification: male refers to gender = 'M'; in 2011 refers to year = '2011'; private for profit refers to control = 'Private for-profit'; black refers to race = 'B';
[query_database(**{'query': 'SELECT DISTINCT T1.state FROM state_sector_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.stateid = T1.stateid WHERE T2.gender = 'M' AND T2.race = 'B' AND T1.control = 'Private for-profit' AND T2.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 institution_details ( unitid INTEGER constraint institution_details_pk primary key, chronname TEXT, city TEXT, state TEXT, level TEXT, control TEXT, basic TEXT, hbcu TEXT, flagship TEXT, long_x REAL, lat_y REAL, site TEXT, student_count INTEGER, awards_per_value REAL, awards_per_state_value REAL, awards_per_natl_value REAL, exp_award_value INTEGER, exp_award_state_value INTEGER, exp_award_natl_value INTEGER, exp_award_percentile INTEGER, ft_pct REAL, fte_value INTEGER, fte_percentile INTEGER, med_sat_value TEXT, med_sat_percentile TEXT, aid_value INTEGER, aid_percentile INTEGER, endow_value TEXT, endow_percentile TEXT, grad_100_value REAL, grad_100_percentile INTEGER, grad_150_value REAL, grad_150_percentile INTEGER, pell_value REAL, pell_percentile INTEGER, retain_value REAL, retain_percentile INTEGER, ft_fac_value REAL, ft_fac_percentile INTEGER, vsa_year TEXT, vsa_grad_after4_first TEXT, vsa_grad_elsewhere_after4_first TEXT, vsa_enroll_after4_first TEXT, vsa_enroll_elsewhere_after4_first TEXT, vsa_grad_after6_first TEXT, vsa_grad_elsewhere_after6_first TEXT, vsa_enroll_after6_first TEXT, vsa_enroll_elsewhere_after6_first TEXT, vsa_grad_after4_transfer TEXT, vsa_grad_elsewhere_after4_transfer TEXT, vsa_enroll_after4_transfer TEXT, vsa_enroll_elsewhere_after4_transfer TEXT, vsa_grad_after6_transfer TEXT, vsa_grad_elsewhere_after6_transfer TEXT, vsa_enroll_after6_transfer TEXT, vsa_enroll_elsewhere_after6_transfer TEXT, similar TEXT, state_sector_ct INTEGER, carnegie_ct INTEGER, counted_pct TEXT, nicknames TEXT, cohort_size INTEGER ) /* 1 example row: SELECT * FROM institution_details LIMIT 1; unitid || chronname || city || state || level ||control || basic ||hbcu ||flagship || long_x || lat_y || site ||student_count ||awards_per_value ||awards_per_state_value ||awards_per_natl_value ||exp_award_value ||exp_award_state_value ||exp_award_natl_value ||exp_award_percentile ||ft_pct ||fte_value ||fte_percentile ||med_sat_value ||med_sat_percentile ||aid_value ||aid_percentile ||endow_value ||endow_percentile ||grad_100_value ||grad_100_percentile ||grad_150_value ||grad_150_percentile ||pell_value ||pell_percentile ||retain_value ||retain_percentile ||ft_fac_value ||ft_fac_percentile ||vsa_year ||vsa_grad_after4_first ||vsa_grad_elsewhere_after4_first ||vsa_enroll_after4_first ||vsa_enroll_elsewhere_after4_first ||vsa_grad_after6_first ||vsa_grad_elsewhere_after6_first ||vsa_enroll_after6_first ||vsa_enroll_elsewhere_after6_first ||vsa_grad_after4_transfer ||vsa_grad_elsewhere_after4_transfer ||vsa_enroll_after4_transfer ||vsa_enroll_elsewhere_after4_transfer ||vsa_grad_after6_transfer ||vsa_grad_elsewhere_after6_transfer ||vsa_enroll_after6_transfer ||vsa_enroll_elsewhere_after6_transfer || similar ||state_sector_ct ||carnegie_ct ||counted_pct ||nicknames ||cohort_size 100654 ||Alabama A&M University ||Normal ||Alabama ||4-year || Public ||Masters Colleges and Universities--larger programs || X || NULL ||-86.568502 ||34.783368 ||www.aamu.edu/ || 4051 || 14.2 || 18.8 || 21.5 || 105331 || 75743 || 66436 || 90 || 93.8 || 3906 || 33 || 823 || 0 || 7142 || 72 || NULL || NULL || 10.0 || 15 || 29.1 || 14 || 71.2 || 98 || 63.1 || 17 || 82.8 || 89 || 2010 || 14.7 || 2 || 36.5 || 16.1 || 33 || 5.3 || 12.5 || 14.6 || 15.7 || 1.5 || 40.9 || 17.2 || 36.4 || 5.6 || 17.2 || 11.1 ||232937|100724|405997|113607|139533|144005|228501|101480|131876|144759|419509|176479|243197|228529|372222|228431|206695|139366|159993|224147 || 13 || 386 || 99.7|07 || NULL || 882 */ /* column definitions { "unitid": "unique Education Unit ID number", "chronname": "Institution name", "city": "Institution city", "state": "Institution state", "level": "Level of institution", "control": "Control of institution", "basic": "Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version)", "hbcu": "Denotes Historically Black College and Universities", "flagship": "Denotes Public flagship institutions", "long_x": "Institution longitude", "lat_y": "Institution latitude", "site": "Institution Web site address", "student_count": "Total number of undergraduates in 2010", "awards_per_value": "Completions per 100 FTE (full-time equivalency) undergraduate students (average 2011, 2012, and 2013)", "awards_per_state_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, national sector average", "exp_award_value": "Estimated educational spending per academic award in 2013. Includes all certificates and degrees", "exp_award_state_value": "Spending per completion, state and sector average", "exp_award_natl_value": "Spending per completion, national sector average", "exp_award_percentile": "", "ft_pct": "Percentage of undergraduates who attend full-time", "fte_value": "total number of full-time equivalent undergraduates", "fte_percentile": "", "med_sat_value": "Median estimated SAT value for incoming students", "med_sat_percentile": "Institution's percent rank for median SAT value within sector", "aid_value": "The average amount of student aid going to undergraduate recipients", "aid_percentile": "Institution's percent rank for average amount of student aid going to undergraduate recipients within sector", "endow_value": "End-of-year endowment value per full-time equivalent student", "endow_percentile": "Institution's percent rank for endowment value per full-time equivalent student within sector", "grad_100_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_100_percentile": "Institution's percent rank for completers within 100 percent of normal time within sector", "grad_150_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_150_percentile": "Institution's percent rank for completers within 150 percent of normal time within sector", "pell_value": "percentage of undergraduates receiving a Pell Grant", "pell_percentile": "Institution's percent rank for undergraduate Pell recipients within sector", "retain_value": "share of freshman students retained for a second year", "retain_percentile": "Institution's percent rank for freshman retention percentage within sector", "ft_fac_value": "Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school", "ft_fac_percentile": "Institution's percent rank for full-time faculty share within sector ", "vsa_year": "Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability", "vsa_grad_after4_first": "First-time, full-time students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_first": "First-time, full-time students who graduated from another institution within four years", "vsa_enroll_after4_first": "First-time, full-time students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_first": "First-time, full-time students who are enrolled at another institution after four years", "vsa_grad_after6_first": "First-time, full-time students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_first": "First-time, full-time students who graduated from another institution within six years", "vsa_enroll_after6_first": "First-time, full-time students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_first": "First-time, full-time students who are enrolled at another institution after six years", "vsa_grad_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_enroll_after4_transfer": "Full-time transfer students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_transfer": "Full-time transfer students who are enrolled at another institution after four years", "vsa_grad_after6_transfer": "Full-time transfer students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_transfer": "Full-time transfer students who graduated from another institution within six years", "vsa_enroll_after6_transfer": "Full-time transfer students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_transfer": "Full-time transfer students who are enrolled at another institution after six years", "similar": "", "state_sector_ct": "", "carnegie_ct": "", "counted_pct": "", "nicknames": "", "cohort_size": "" }*/ CREATE TABLE institution_grads ( unitid INTEGER, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, foreign key (unitid) references institution_details(unitid) ) /* 1 example row: SELECT * FROM institution_grads LIMIT 1; unitid ||year ||gender ||race ||cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate 100760 ||2011 || B || X ||2y all || 446 || 73 || 105 || 16.4 || 23.5 */ /* column definitions { "unitid": "Education Unit ID number", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time" }*/ CREATE TABLE state_sector_grads ( stateid INTEGER, state TEXT, state_abbr TEXT, control TEXT, level TEXT, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, grad_cohort_ct INTEGER, foreign key (state) references institution_details(state), foreign key (stateid) references state_sector_details(stateid) ) /* 1 example row: SELECT * FROM state_sector_grads LIMIT 1; stateid || state ||state_abbr || control || level ||year ||gender ||race || cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate ||grad_cohort_ct 1 ||Alabama || AL ||Private for-profit ||4-year ||2011 || B || A ||4y bach || 0 || 0 || 0 || NULL || NULL || 9 */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_abbr": "", "control": "", "level": "Level of institution", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time", "grad_cohort_ct": "Number of institutions with data included in the cohort" }*/ CREATE TABLE "state_sector_details" ( stateid INTEGER, state TEXT references institution_details (state), state_post TEXT, level TEXT, control TEXT, schools_count INTEGER, counted_pct TEXT, awards_per_state_value TEXT, awards_per_natl_value REAL, exp_award_state_value TEXT, exp_award_natl_value INTEGER, state_appr_value TEXT, state_appr_rank TEXT, grad_rate_rank TEXT, awards_per_rank TEXT, primary key (stateid, level, control) ) /* 1 example row: SELECT * FROM state_sector_details LIMIT 1; stateid || state ||state_post || level ||control ||schools_count ||counted_pct ||awards_per_state_value ||awards_per_natl_value ||exp_award_state_value ||exp_award_natl_value ||state_appr_value ||state_appr_rank ||grad_rate_rank ||awards_per_rank 0 ||United States || U.S. ||4-year || Public || 632 || NULL || NULL || 21.5 || NULL || 66436 || NULL || NULL || 23 || NULL */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_post": "", "level": "Level of institution", "control": "", "schools_count": "", "counted_pct": "Percentage of students in the entering class (Fall 2007 at 4-year institutions, Fall 2010 at 2-year institutions) who are first-time, full-time, degree-seeking students and generally part of the official graduation rate", "awards_per_state_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, national sector average", "exp_award_state_value": "Spending per completion, state and sector average ", "exp_award_natl_value": "Spending per completion, national sector average", "state_appr_value": "State appropriations to higher education in fiscal year 2011 per resident", "state_appr_rank": "", "grad_rate_rank": "", "awards_per_rank": "" }*/
3,743
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE institution_details ( unitid INTEGER constraint institution_details_pk primary key, chronname TEXT, city TEXT, state TEXT, level TEXT, control TEXT, basic TEXT, hbcu TEXT, flagship TEXT, long_x REAL, lat_y REAL, site TEXT, student_count INTEGER, awards_per_value REAL, awards_per_state_value REAL, awards_per_natl_value REAL, exp_award_value INTEGER, exp_award_state_value INTEGER, exp_award_natl_value INTEGER, exp_award_percentile INTEGER, ft_pct REAL, fte_value INTEGER, fte_percentile INTEGER, med_sat_value TEXT, med_sat_percentile TEXT, aid_value INTEGER, aid_percentile INTEGER, endow_value TEXT, endow_percentile TEXT, grad_100_value REAL, grad_100_percentile INTEGER, grad_150_value REAL, grad_150_percentile INTEGER, pell_value REAL, pell_percentile INTEGER, retain_value REAL, retain_percentile INTEGER, ft_fac_value REAL, ft_fac_percentile INTEGER, vsa_year TEXT, vsa_grad_after4_first TEXT, vsa_grad_elsewhere_after4_first TEXT, vsa_enroll_after4_first TEXT, vsa_enroll_elsewhere_after4_first TEXT, vsa_grad_after6_first TEXT, vsa_grad_elsewhere_after6_first TEXT, vsa_enroll_after6_first TEXT, vsa_enroll_elsewhere_after6_first TEXT, vsa_grad_after4_transfer TEXT, vsa_grad_elsewhere_after4_transfer TEXT, vsa_enroll_after4_transfer TEXT, vsa_enroll_elsewhere_after4_transfer TEXT, vsa_grad_after6_transfer TEXT, vsa_grad_elsewhere_after6_transfer TEXT, vsa_enroll_after6_transfer TEXT, vsa_enroll_elsewhere_after6_transfer TEXT, similar TEXT, state_sector_ct INTEGER, carnegie_ct INTEGER, counted_pct TEXT, nicknames TEXT, cohort_size INTEGER ) /* 1 example row: SELECT * FROM institution_details LIMIT 1; unitid || chronname || city || state || level ||control || basic ||hbcu ||flagship || long_x || lat_y || site ||student_count ||awards_per_value ||awards_per_state_value ||awards_per_natl_value ||exp_award_value ||exp_award_state_value ||exp_award_natl_value ||exp_award_percentile ||ft_pct ||fte_value ||fte_percentile ||med_sat_value ||med_sat_percentile ||aid_value ||aid_percentile ||endow_value ||endow_percentile ||grad_100_value ||grad_100_percentile ||grad_150_value ||grad_150_percentile ||pell_value ||pell_percentile ||retain_value ||retain_percentile ||ft_fac_value ||ft_fac_percentile ||vsa_year ||vsa_grad_after4_first ||vsa_grad_elsewhere_after4_first ||vsa_enroll_after4_first ||vsa_enroll_elsewhere_after4_first ||vsa_grad_after6_first ||vsa_grad_elsewhere_after6_first ||vsa_enroll_after6_first ||vsa_enroll_elsewhere_after6_first ||vsa_grad_after4_transfer ||vsa_grad_elsewhere_after4_transfer ||vsa_enroll_after4_transfer ||vsa_enroll_elsewhere_after4_transfer ||vsa_grad_after6_transfer ||vsa_grad_elsewhere_after6_transfer ||vsa_enroll_after6_transfer ||vsa_enroll_elsewhere_after6_transfer || similar ||state_sector_ct ||carnegie_ct ||counted_pct ||nicknames ||cohort_size 100654 ||Alabama A&M University ||Normal ||Alabama ||4-year || Public ||Masters Colleges and Universities--larger programs || X || NULL ||-86.568502 ||34.783368 ||www.aamu.edu/ || 4051 || 14.2 || 18.8 || 21.5 || 105331 || 75743 || 66436 || 90 || 93.8 || 3906 || 33 || 823 || 0 || 7142 || 72 || NULL || NULL || 10.0 || 15 || 29.1 || 14 || 71.2 || 98 || 63.1 || 17 || 82.8 || 89 || 2010 || 14.7 || 2 || 36.5 || 16.1 || 33 || 5.3 || 12.5 || 14.6 || 15.7 || 1.5 || 40.9 || 17.2 || 36.4 || 5.6 || 17.2 || 11.1 ||232937|100724|405997|113607|139533|144005|228501|101480|131876|144759|419509|176479|243197|228529|372222|228431|206695|139366|159993|224147 || 13 || 386 || 99.7|07 || NULL || 882 */ /* column definitions { "unitid": "unique Education Unit ID number", "chronname": "Institution name", "city": "Institution city", "state": "Institution state", "level": "Level of institution", "control": "Control of institution", "basic": "Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version)", "hbcu": "Denotes Historically Black College and Universities", "flagship": "Denotes Public flagship institutions", "long_x": "Institution longitude", "lat_y": "Institution latitude", "site": "Institution Web site address", "student_count": "Total number of undergraduates in 2010", "awards_per_value": "Completions per 100 FTE (full-time equivalency) undergraduate students (average 2011, 2012, and 2013)", "awards_per_state_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, national sector average", "exp_award_value": "Estimated educational spending per academic award in 2013. Includes all certificates and degrees", "exp_award_state_value": "Spending per completion, state and sector average", "exp_award_natl_value": "Spending per completion, national sector average", "exp_award_percentile": "", "ft_pct": "Percentage of undergraduates who attend full-time", "fte_value": "total number of full-time equivalent undergraduates", "fte_percentile": "", "med_sat_value": "Median estimated SAT value for incoming students", "med_sat_percentile": "Institution's percent rank for median SAT value within sector", "aid_value": "The average amount of student aid going to undergraduate recipients", "aid_percentile": "Institution's percent rank for average amount of student aid going to undergraduate recipients within sector", "endow_value": "End-of-year endowment value per full-time equivalent student", "endow_percentile": "Institution's percent rank for endowment value per full-time equivalent student within sector", "grad_100_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_100_percentile": "Institution's percent rank for completers within 100 percent of normal time within sector", "grad_150_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_150_percentile": "Institution's percent rank for completers within 150 percent of normal time within sector", "pell_value": "percentage of undergraduates receiving a Pell Grant", "pell_percentile": "Institution's percent rank for undergraduate Pell recipients within sector", "retain_value": "share of freshman students retained for a second year", "retain_percentile": "Institution's percent rank for freshman retention percentage within sector", "ft_fac_value": "Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school", "ft_fac_percentile": "Institution's percent rank for full-time faculty share within sector ", "vsa_year": "Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability", "vsa_grad_after4_first": "First-time, full-time students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_first": "First-time, full-time students who graduated from another institution within four years", "vsa_enroll_after4_first": "First-time, full-time students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_first": "First-time, full-time students who are enrolled at another institution after four years", "vsa_grad_after6_first": "First-time, full-time students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_first": "First-time, full-time students who graduated from another institution within six years", "vsa_enroll_after6_first": "First-time, full-time students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_first": "First-time, full-time students who are enrolled at another institution after six years", "vsa_grad_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_enroll_after4_transfer": "Full-time transfer students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_transfer": "Full-time transfer students who are enrolled at another institution after four years", "vsa_grad_after6_transfer": "Full-time transfer students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_transfer": "Full-time transfer students who graduated from another institution within six years", "vsa_enroll_after6_transfer": "Full-time transfer students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_transfer": "Full-time transfer students who are enrolled at another institution after six years", "similar": "", "state_sector_ct": "", "carnegie_ct": "", "counted_pct": "", "nicknames": "", "cohort_size": "" }*/ CREATE TABLE institution_grads ( unitid INTEGER, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, foreign key (unitid) references institution_details(unitid) ) /* 1 example row: SELECT * FROM institution_grads LIMIT 1; unitid ||year ||gender ||race ||cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate 100760 ||2011 || B || X ||2y all || 446 || 73 || 105 || 16.4 || 23.5 */ /* column definitions { "unitid": "Education Unit ID number", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time" }*/ CREATE TABLE state_sector_grads ( stateid INTEGER, state TEXT, state_abbr TEXT, control TEXT, level TEXT, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, grad_cohort_ct INTEGER, foreign key (state) references institution_details(state), foreign key (stateid) references state_sector_details(stateid) ) /* 1 example row: SELECT * FROM state_sector_grads LIMIT 1; stateid || state ||state_abbr || control || level ||year ||gender ||race || cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate ||grad_cohort_ct 1 ||Alabama || AL ||Private for-profit ||4-year ||2011 || B || A ||4y bach || 0 || 0 || 0 || NULL || NULL || 9 */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_abbr": "", "control": "", "level": "Level of institution", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time", "grad_cohort_ct": "Number of institutions with data included in the cohort" }*/ CREATE TABLE "state_sector_details" ( stateid INTEGER, state TEXT references institution_details (state), state_post TEXT, level TEXT, control TEXT, schools_count INTEGER, counted_pct TEXT, awards_per_state_value TEXT, awards_per_natl_value REAL, exp_award_state_value TEXT, exp_award_natl_value INTEGER, state_appr_value TEXT, state_appr_rank TEXT, grad_rate_rank TEXT, awards_per_rank TEXT, primary key (stateid, level, control) ) /* 1 example row: SELECT * FROM state_sector_details LIMIT 1; stateid || state ||state_post || level ||control ||schools_count ||counted_pct ||awards_per_state_value ||awards_per_natl_value ||exp_award_state_value ||exp_award_natl_value ||state_appr_value ||state_appr_rank ||grad_rate_rank ||awards_per_rank 0 ||United States || U.S. ||4-year || Public || 632 || NULL || NULL || 21.5 || NULL || 66436 || NULL || NULL || 23 || NULL */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_post": "", "level": "Level of institution", "control": "", "schools_count": "", "counted_pct": "Percentage of students in the entering class (Fall 2007 at 4-year institutions, Fall 2010 at 2-year institutions) who are first-time, full-time, degree-seeking students and generally part of the official graduation rate", "awards_per_state_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, national sector average", "exp_award_state_value": "Spending per completion, state and sector average ", "exp_award_natl_value": "Spending per completion, national sector average", "state_appr_value": "State appropriations to higher education in fiscal year 2011 per resident", "state_appr_rank": "", "grad_rate_rank": "", "awards_per_rank": "" }*/ ### Question In year 2010 at schools located in Hawaii, what is the percentage of schools offers an associate's degree? Clarification: Hawaii refers to state = 'Hawaii'; associate's degree refers to level = '2-year'; percentage = MULTIPLY(DIVIDE(SUM(level = '2-year' ), count(level)), 1.0);
[query_database(**{'query': 'SELECT CAST(SUM(CASE WHEN T2.level = '2-year' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.level) FROM state_sector_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.stateid = T1.stateid WHERE T2.state = 'Hawaii' AND T2.year = 2010'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE institution_details ( unitid INTEGER constraint institution_details_pk primary key, chronname TEXT, city TEXT, state TEXT, level TEXT, control TEXT, basic TEXT, hbcu TEXT, flagship TEXT, long_x REAL, lat_y REAL, site TEXT, student_count INTEGER, awards_per_value REAL, awards_per_state_value REAL, awards_per_natl_value REAL, exp_award_value INTEGER, exp_award_state_value INTEGER, exp_award_natl_value INTEGER, exp_award_percentile INTEGER, ft_pct REAL, fte_value INTEGER, fte_percentile INTEGER, med_sat_value TEXT, med_sat_percentile TEXT, aid_value INTEGER, aid_percentile INTEGER, endow_value TEXT, endow_percentile TEXT, grad_100_value REAL, grad_100_percentile INTEGER, grad_150_value REAL, grad_150_percentile INTEGER, pell_value REAL, pell_percentile INTEGER, retain_value REAL, retain_percentile INTEGER, ft_fac_value REAL, ft_fac_percentile INTEGER, vsa_year TEXT, vsa_grad_after4_first TEXT, vsa_grad_elsewhere_after4_first TEXT, vsa_enroll_after4_first TEXT, vsa_enroll_elsewhere_after4_first TEXT, vsa_grad_after6_first TEXT, vsa_grad_elsewhere_after6_first TEXT, vsa_enroll_after6_first TEXT, vsa_enroll_elsewhere_after6_first TEXT, vsa_grad_after4_transfer TEXT, vsa_grad_elsewhere_after4_transfer TEXT, vsa_enroll_after4_transfer TEXT, vsa_enroll_elsewhere_after4_transfer TEXT, vsa_grad_after6_transfer TEXT, vsa_grad_elsewhere_after6_transfer TEXT, vsa_enroll_after6_transfer TEXT, vsa_enroll_elsewhere_after6_transfer TEXT, similar TEXT, state_sector_ct INTEGER, carnegie_ct INTEGER, counted_pct TEXT, nicknames TEXT, cohort_size INTEGER ) /* 1 example row: SELECT * FROM institution_details LIMIT 1; unitid || chronname || city || state || level ||control || basic ||hbcu ||flagship || long_x || lat_y || site ||student_count ||awards_per_value ||awards_per_state_value ||awards_per_natl_value ||exp_award_value ||exp_award_state_value ||exp_award_natl_value ||exp_award_percentile ||ft_pct ||fte_value ||fte_percentile ||med_sat_value ||med_sat_percentile ||aid_value ||aid_percentile ||endow_value ||endow_percentile ||grad_100_value ||grad_100_percentile ||grad_150_value ||grad_150_percentile ||pell_value ||pell_percentile ||retain_value ||retain_percentile ||ft_fac_value ||ft_fac_percentile ||vsa_year ||vsa_grad_after4_first ||vsa_grad_elsewhere_after4_first ||vsa_enroll_after4_first ||vsa_enroll_elsewhere_after4_first ||vsa_grad_after6_first ||vsa_grad_elsewhere_after6_first ||vsa_enroll_after6_first ||vsa_enroll_elsewhere_after6_first ||vsa_grad_after4_transfer ||vsa_grad_elsewhere_after4_transfer ||vsa_enroll_after4_transfer ||vsa_enroll_elsewhere_after4_transfer ||vsa_grad_after6_transfer ||vsa_grad_elsewhere_after6_transfer ||vsa_enroll_after6_transfer ||vsa_enroll_elsewhere_after6_transfer || similar ||state_sector_ct ||carnegie_ct ||counted_pct ||nicknames ||cohort_size 100654 ||Alabama A&M University ||Normal ||Alabama ||4-year || Public ||Masters Colleges and Universities--larger programs || X || NULL ||-86.568502 ||34.783368 ||www.aamu.edu/ || 4051 || 14.2 || 18.8 || 21.5 || 105331 || 75743 || 66436 || 90 || 93.8 || 3906 || 33 || 823 || 0 || 7142 || 72 || NULL || NULL || 10.0 || 15 || 29.1 || 14 || 71.2 || 98 || 63.1 || 17 || 82.8 || 89 || 2010 || 14.7 || 2 || 36.5 || 16.1 || 33 || 5.3 || 12.5 || 14.6 || 15.7 || 1.5 || 40.9 || 17.2 || 36.4 || 5.6 || 17.2 || 11.1 ||232937|100724|405997|113607|139533|144005|228501|101480|131876|144759|419509|176479|243197|228529|372222|228431|206695|139366|159993|224147 || 13 || 386 || 99.7|07 || NULL || 882 */ /* column definitions { "unitid": "unique Education Unit ID number", "chronname": "Institution name", "city": "Institution city", "state": "Institution state", "level": "Level of institution", "control": "Control of institution", "basic": "Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version)", "hbcu": "Denotes Historically Black College and Universities", "flagship": "Denotes Public flagship institutions", "long_x": "Institution longitude", "lat_y": "Institution latitude", "site": "Institution Web site address", "student_count": "Total number of undergraduates in 2010", "awards_per_value": "Completions per 100 FTE (full-time equivalency) undergraduate students (average 2011, 2012, and 2013)", "awards_per_state_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, national sector average", "exp_award_value": "Estimated educational spending per academic award in 2013. Includes all certificates and degrees", "exp_award_state_value": "Spending per completion, state and sector average", "exp_award_natl_value": "Spending per completion, national sector average", "exp_award_percentile": "", "ft_pct": "Percentage of undergraduates who attend full-time", "fte_value": "total number of full-time equivalent undergraduates", "fte_percentile": "", "med_sat_value": "Median estimated SAT value for incoming students", "med_sat_percentile": "Institution's percent rank for median SAT value within sector", "aid_value": "The average amount of student aid going to undergraduate recipients", "aid_percentile": "Institution's percent rank for average amount of student aid going to undergraduate recipients within sector", "endow_value": "End-of-year endowment value per full-time equivalent student", "endow_percentile": "Institution's percent rank for endowment value per full-time equivalent student within sector", "grad_100_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_100_percentile": "Institution's percent rank for completers within 100 percent of normal time within sector", "grad_150_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_150_percentile": "Institution's percent rank for completers within 150 percent of normal time within sector", "pell_value": "percentage of undergraduates receiving a Pell Grant", "pell_percentile": "Institution's percent rank for undergraduate Pell recipients within sector", "retain_value": "share of freshman students retained for a second year", "retain_percentile": "Institution's percent rank for freshman retention percentage within sector", "ft_fac_value": "Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school", "ft_fac_percentile": "Institution's percent rank for full-time faculty share within sector ", "vsa_year": "Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability", "vsa_grad_after4_first": "First-time, full-time students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_first": "First-time, full-time students who graduated from another institution within four years", "vsa_enroll_after4_first": "First-time, full-time students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_first": "First-time, full-time students who are enrolled at another institution after four years", "vsa_grad_after6_first": "First-time, full-time students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_first": "First-time, full-time students who graduated from another institution within six years", "vsa_enroll_after6_first": "First-time, full-time students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_first": "First-time, full-time students who are enrolled at another institution after six years", "vsa_grad_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_enroll_after4_transfer": "Full-time transfer students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_transfer": "Full-time transfer students who are enrolled at another institution after four years", "vsa_grad_after6_transfer": "Full-time transfer students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_transfer": "Full-time transfer students who graduated from another institution within six years", "vsa_enroll_after6_transfer": "Full-time transfer students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_transfer": "Full-time transfer students who are enrolled at another institution after six years", "similar": "", "state_sector_ct": "", "carnegie_ct": "", "counted_pct": "", "nicknames": "", "cohort_size": "" }*/ CREATE TABLE institution_grads ( unitid INTEGER, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, foreign key (unitid) references institution_details(unitid) ) /* 1 example row: SELECT * FROM institution_grads LIMIT 1; unitid ||year ||gender ||race ||cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate 100760 ||2011 || B || X ||2y all || 446 || 73 || 105 || 16.4 || 23.5 */ /* column definitions { "unitid": "Education Unit ID number", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time" }*/ CREATE TABLE state_sector_grads ( stateid INTEGER, state TEXT, state_abbr TEXT, control TEXT, level TEXT, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, grad_cohort_ct INTEGER, foreign key (state) references institution_details(state), foreign key (stateid) references state_sector_details(stateid) ) /* 1 example row: SELECT * FROM state_sector_grads LIMIT 1; stateid || state ||state_abbr || control || level ||year ||gender ||race || cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate ||grad_cohort_ct 1 ||Alabama || AL ||Private for-profit ||4-year ||2011 || B || A ||4y bach || 0 || 0 || 0 || NULL || NULL || 9 */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_abbr": "", "control": "", "level": "Level of institution", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time", "grad_cohort_ct": "Number of institutions with data included in the cohort" }*/ CREATE TABLE "state_sector_details" ( stateid INTEGER, state TEXT references institution_details (state), state_post TEXT, level TEXT, control TEXT, schools_count INTEGER, counted_pct TEXT, awards_per_state_value TEXT, awards_per_natl_value REAL, exp_award_state_value TEXT, exp_award_natl_value INTEGER, state_appr_value TEXT, state_appr_rank TEXT, grad_rate_rank TEXT, awards_per_rank TEXT, primary key (stateid, level, control) ) /* 1 example row: SELECT * FROM state_sector_details LIMIT 1; stateid || state ||state_post || level ||control ||schools_count ||counted_pct ||awards_per_state_value ||awards_per_natl_value ||exp_award_state_value ||exp_award_natl_value ||state_appr_value ||state_appr_rank ||grad_rate_rank ||awards_per_rank 0 ||United States || U.S. ||4-year || Public || 632 || NULL || NULL || 21.5 || NULL || 66436 || NULL || NULL || 23 || NULL */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_post": "", "level": "Level of institution", "control": "", "schools_count": "", "counted_pct": "Percentage of students in the entering class (Fall 2007 at 4-year institutions, Fall 2010 at 2-year institutions) who are first-time, full-time, degree-seeking students and generally part of the official graduation rate", "awards_per_state_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, national sector average", "exp_award_state_value": "Spending per completion, state and sector average ", "exp_award_natl_value": "Spending per completion, national sector average", "state_appr_value": "State appropriations to higher education in fiscal year 2011 per resident", "state_appr_rank": "", "grad_rate_rank": "", "awards_per_rank": "" }*/
3,747
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE institution_details ( unitid INTEGER constraint institution_details_pk primary key, chronname TEXT, city TEXT, state TEXT, level TEXT, control TEXT, basic TEXT, hbcu TEXT, flagship TEXT, long_x REAL, lat_y REAL, site TEXT, student_count INTEGER, awards_per_value REAL, awards_per_state_value REAL, awards_per_natl_value REAL, exp_award_value INTEGER, exp_award_state_value INTEGER, exp_award_natl_value INTEGER, exp_award_percentile INTEGER, ft_pct REAL, fte_value INTEGER, fte_percentile INTEGER, med_sat_value TEXT, med_sat_percentile TEXT, aid_value INTEGER, aid_percentile INTEGER, endow_value TEXT, endow_percentile TEXT, grad_100_value REAL, grad_100_percentile INTEGER, grad_150_value REAL, grad_150_percentile INTEGER, pell_value REAL, pell_percentile INTEGER, retain_value REAL, retain_percentile INTEGER, ft_fac_value REAL, ft_fac_percentile INTEGER, vsa_year TEXT, vsa_grad_after4_first TEXT, vsa_grad_elsewhere_after4_first TEXT, vsa_enroll_after4_first TEXT, vsa_enroll_elsewhere_after4_first TEXT, vsa_grad_after6_first TEXT, vsa_grad_elsewhere_after6_first TEXT, vsa_enroll_after6_first TEXT, vsa_enroll_elsewhere_after6_first TEXT, vsa_grad_after4_transfer TEXT, vsa_grad_elsewhere_after4_transfer TEXT, vsa_enroll_after4_transfer TEXT, vsa_enroll_elsewhere_after4_transfer TEXT, vsa_grad_after6_transfer TEXT, vsa_grad_elsewhere_after6_transfer TEXT, vsa_enroll_after6_transfer TEXT, vsa_enroll_elsewhere_after6_transfer TEXT, similar TEXT, state_sector_ct INTEGER, carnegie_ct INTEGER, counted_pct TEXT, nicknames TEXT, cohort_size INTEGER ) /* 1 example row: SELECT * FROM institution_details LIMIT 1; unitid || chronname || city || state || level ||control || basic ||hbcu ||flagship || long_x || lat_y || site ||student_count ||awards_per_value ||awards_per_state_value ||awards_per_natl_value ||exp_award_value ||exp_award_state_value ||exp_award_natl_value ||exp_award_percentile ||ft_pct ||fte_value ||fte_percentile ||med_sat_value ||med_sat_percentile ||aid_value ||aid_percentile ||endow_value ||endow_percentile ||grad_100_value ||grad_100_percentile ||grad_150_value ||grad_150_percentile ||pell_value ||pell_percentile ||retain_value ||retain_percentile ||ft_fac_value ||ft_fac_percentile ||vsa_year ||vsa_grad_after4_first ||vsa_grad_elsewhere_after4_first ||vsa_enroll_after4_first ||vsa_enroll_elsewhere_after4_first ||vsa_grad_after6_first ||vsa_grad_elsewhere_after6_first ||vsa_enroll_after6_first ||vsa_enroll_elsewhere_after6_first ||vsa_grad_after4_transfer ||vsa_grad_elsewhere_after4_transfer ||vsa_enroll_after4_transfer ||vsa_enroll_elsewhere_after4_transfer ||vsa_grad_after6_transfer ||vsa_grad_elsewhere_after6_transfer ||vsa_enroll_after6_transfer ||vsa_enroll_elsewhere_after6_transfer || similar ||state_sector_ct ||carnegie_ct ||counted_pct ||nicknames ||cohort_size 100654 ||Alabama A&M University ||Normal ||Alabama ||4-year || Public ||Masters Colleges and Universities--larger programs || X || NULL ||-86.568502 ||34.783368 ||www.aamu.edu/ || 4051 || 14.2 || 18.8 || 21.5 || 105331 || 75743 || 66436 || 90 || 93.8 || 3906 || 33 || 823 || 0 || 7142 || 72 || NULL || NULL || 10.0 || 15 || 29.1 || 14 || 71.2 || 98 || 63.1 || 17 || 82.8 || 89 || 2010 || 14.7 || 2 || 36.5 || 16.1 || 33 || 5.3 || 12.5 || 14.6 || 15.7 || 1.5 || 40.9 || 17.2 || 36.4 || 5.6 || 17.2 || 11.1 ||232937|100724|405997|113607|139533|144005|228501|101480|131876|144759|419509|176479|243197|228529|372222|228431|206695|139366|159993|224147 || 13 || 386 || 99.7|07 || NULL || 882 */ /* column definitions { "unitid": "unique Education Unit ID number", "chronname": "Institution name", "city": "Institution city", "state": "Institution state", "level": "Level of institution", "control": "Control of institution", "basic": "Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version)", "hbcu": "Denotes Historically Black College and Universities", "flagship": "Denotes Public flagship institutions", "long_x": "Institution longitude", "lat_y": "Institution latitude", "site": "Institution Web site address", "student_count": "Total number of undergraduates in 2010", "awards_per_value": "Completions per 100 FTE (full-time equivalency) undergraduate students (average 2011, 2012, and 2013)", "awards_per_state_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, national sector average", "exp_award_value": "Estimated educational spending per academic award in 2013. Includes all certificates and degrees", "exp_award_state_value": "Spending per completion, state and sector average", "exp_award_natl_value": "Spending per completion, national sector average", "exp_award_percentile": "", "ft_pct": "Percentage of undergraduates who attend full-time", "fte_value": "total number of full-time equivalent undergraduates", "fte_percentile": "", "med_sat_value": "Median estimated SAT value for incoming students", "med_sat_percentile": "Institution's percent rank for median SAT value within sector", "aid_value": "The average amount of student aid going to undergraduate recipients", "aid_percentile": "Institution's percent rank for average amount of student aid going to undergraduate recipients within sector", "endow_value": "End-of-year endowment value per full-time equivalent student", "endow_percentile": "Institution's percent rank for endowment value per full-time equivalent student within sector", "grad_100_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_100_percentile": "Institution's percent rank for completers within 100 percent of normal time within sector", "grad_150_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_150_percentile": "Institution's percent rank for completers within 150 percent of normal time within sector", "pell_value": "percentage of undergraduates receiving a Pell Grant", "pell_percentile": "Institution's percent rank for undergraduate Pell recipients within sector", "retain_value": "share of freshman students retained for a second year", "retain_percentile": "Institution's percent rank for freshman retention percentage within sector", "ft_fac_value": "Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school", "ft_fac_percentile": "Institution's percent rank for full-time faculty share within sector ", "vsa_year": "Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability", "vsa_grad_after4_first": "First-time, full-time students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_first": "First-time, full-time students who graduated from another institution within four years", "vsa_enroll_after4_first": "First-time, full-time students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_first": "First-time, full-time students who are enrolled at another institution after four years", "vsa_grad_after6_first": "First-time, full-time students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_first": "First-time, full-time students who graduated from another institution within six years", "vsa_enroll_after6_first": "First-time, full-time students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_first": "First-time, full-time students who are enrolled at another institution after six years", "vsa_grad_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_enroll_after4_transfer": "Full-time transfer students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_transfer": "Full-time transfer students who are enrolled at another institution after four years", "vsa_grad_after6_transfer": "Full-time transfer students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_transfer": "Full-time transfer students who graduated from another institution within six years", "vsa_enroll_after6_transfer": "Full-time transfer students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_transfer": "Full-time transfer students who are enrolled at another institution after six years", "similar": "", "state_sector_ct": "", "carnegie_ct": "", "counted_pct": "", "nicknames": "", "cohort_size": "" }*/ CREATE TABLE institution_grads ( unitid INTEGER, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, foreign key (unitid) references institution_details(unitid) ) /* 1 example row: SELECT * FROM institution_grads LIMIT 1; unitid ||year ||gender ||race ||cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate 100760 ||2011 || B || X ||2y all || 446 || 73 || 105 || 16.4 || 23.5 */ /* column definitions { "unitid": "Education Unit ID number", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time" }*/ CREATE TABLE state_sector_grads ( stateid INTEGER, state TEXT, state_abbr TEXT, control TEXT, level TEXT, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, grad_cohort_ct INTEGER, foreign key (state) references institution_details(state), foreign key (stateid) references state_sector_details(stateid) ) /* 1 example row: SELECT * FROM state_sector_grads LIMIT 1; stateid || state ||state_abbr || control || level ||year ||gender ||race || cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate ||grad_cohort_ct 1 ||Alabama || AL ||Private for-profit ||4-year ||2011 || B || A ||4y bach || 0 || 0 || 0 || NULL || NULL || 9 */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_abbr": "", "control": "", "level": "Level of institution", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time", "grad_cohort_ct": "Number of institutions with data included in the cohort" }*/ CREATE TABLE "state_sector_details" ( stateid INTEGER, state TEXT references institution_details (state), state_post TEXT, level TEXT, control TEXT, schools_count INTEGER, counted_pct TEXT, awards_per_state_value TEXT, awards_per_natl_value REAL, exp_award_state_value TEXT, exp_award_natl_value INTEGER, state_appr_value TEXT, state_appr_rank TEXT, grad_rate_rank TEXT, awards_per_rank TEXT, primary key (stateid, level, control) ) /* 1 example row: SELECT * FROM state_sector_details LIMIT 1; stateid || state ||state_post || level ||control ||schools_count ||counted_pct ||awards_per_state_value ||awards_per_natl_value ||exp_award_state_value ||exp_award_natl_value ||state_appr_value ||state_appr_rank ||grad_rate_rank ||awards_per_rank 0 ||United States || U.S. ||4-year || Public || 632 || NULL || NULL || 21.5 || NULL || 66436 || NULL || NULL || 23 || NULL */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_post": "", "level": "Level of institution", "control": "", "schools_count": "", "counted_pct": "Percentage of students in the entering class (Fall 2007 at 4-year institutions, Fall 2010 at 2-year institutions) who are first-time, full-time, degree-seeking students and generally part of the official graduation rate", "awards_per_state_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, national sector average", "exp_award_state_value": "Spending per completion, state and sector average ", "exp_award_natl_value": "Spending per completion, national sector average", "state_appr_value": "State appropriations to higher education in fiscal year 2011 per resident", "state_appr_rank": "", "grad_rate_rank": "", "awards_per_rank": "" }*/ ### Question In the state with the highest state appropriations to higher education in fiscal year 2011 per resident, which institution has the lowest number of undergraduates in 2010? Clarification: highest state appropriations to higher education in fiscal year 2011 per resident refers to MAX(state_appr_value); lowest number of undergraduates refers to MIN(student_count); in 2010 refers to year = 2010;
[query_database(**{'query': 'SELECT T1.chronname FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 ON T2.state = T1.state INNER JOIN institution_grads AS T3 ON T3.unitid = T1.unitid WHERE T1.student_count = ( SELECT MIN(T1.student_count) FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 ON T2.state = T1.state INNER JOIN institution_grads AS T3 ON T3.unitid = T1.unitid WHERE T3.year = 2010 ) AND T3.year = 2010 GROUP BY T1.state ORDER BY SUM(T2.state_appr_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 institution_details ( unitid INTEGER constraint institution_details_pk primary key, chronname TEXT, city TEXT, state TEXT, level TEXT, control TEXT, basic TEXT, hbcu TEXT, flagship TEXT, long_x REAL, lat_y REAL, site TEXT, student_count INTEGER, awards_per_value REAL, awards_per_state_value REAL, awards_per_natl_value REAL, exp_award_value INTEGER, exp_award_state_value INTEGER, exp_award_natl_value INTEGER, exp_award_percentile INTEGER, ft_pct REAL, fte_value INTEGER, fte_percentile INTEGER, med_sat_value TEXT, med_sat_percentile TEXT, aid_value INTEGER, aid_percentile INTEGER, endow_value TEXT, endow_percentile TEXT, grad_100_value REAL, grad_100_percentile INTEGER, grad_150_value REAL, grad_150_percentile INTEGER, pell_value REAL, pell_percentile INTEGER, retain_value REAL, retain_percentile INTEGER, ft_fac_value REAL, ft_fac_percentile INTEGER, vsa_year TEXT, vsa_grad_after4_first TEXT, vsa_grad_elsewhere_after4_first TEXT, vsa_enroll_after4_first TEXT, vsa_enroll_elsewhere_after4_first TEXT, vsa_grad_after6_first TEXT, vsa_grad_elsewhere_after6_first TEXT, vsa_enroll_after6_first TEXT, vsa_enroll_elsewhere_after6_first TEXT, vsa_grad_after4_transfer TEXT, vsa_grad_elsewhere_after4_transfer TEXT, vsa_enroll_after4_transfer TEXT, vsa_enroll_elsewhere_after4_transfer TEXT, vsa_grad_after6_transfer TEXT, vsa_grad_elsewhere_after6_transfer TEXT, vsa_enroll_after6_transfer TEXT, vsa_enroll_elsewhere_after6_transfer TEXT, similar TEXT, state_sector_ct INTEGER, carnegie_ct INTEGER, counted_pct TEXT, nicknames TEXT, cohort_size INTEGER ) /* 1 example row: SELECT * FROM institution_details LIMIT 1; unitid || chronname || city || state || level ||control || basic ||hbcu ||flagship || long_x || lat_y || site ||student_count ||awards_per_value ||awards_per_state_value ||awards_per_natl_value ||exp_award_value ||exp_award_state_value ||exp_award_natl_value ||exp_award_percentile ||ft_pct ||fte_value ||fte_percentile ||med_sat_value ||med_sat_percentile ||aid_value ||aid_percentile ||endow_value ||endow_percentile ||grad_100_value ||grad_100_percentile ||grad_150_value ||grad_150_percentile ||pell_value ||pell_percentile ||retain_value ||retain_percentile ||ft_fac_value ||ft_fac_percentile ||vsa_year ||vsa_grad_after4_first ||vsa_grad_elsewhere_after4_first ||vsa_enroll_after4_first ||vsa_enroll_elsewhere_after4_first ||vsa_grad_after6_first ||vsa_grad_elsewhere_after6_first ||vsa_enroll_after6_first ||vsa_enroll_elsewhere_after6_first ||vsa_grad_after4_transfer ||vsa_grad_elsewhere_after4_transfer ||vsa_enroll_after4_transfer ||vsa_enroll_elsewhere_after4_transfer ||vsa_grad_after6_transfer ||vsa_grad_elsewhere_after6_transfer ||vsa_enroll_after6_transfer ||vsa_enroll_elsewhere_after6_transfer || similar ||state_sector_ct ||carnegie_ct ||counted_pct ||nicknames ||cohort_size 100654 ||Alabama A&M University ||Normal ||Alabama ||4-year || Public ||Masters Colleges and Universities--larger programs || X || NULL ||-86.568502 ||34.783368 ||www.aamu.edu/ || 4051 || 14.2 || 18.8 || 21.5 || 105331 || 75743 || 66436 || 90 || 93.8 || 3906 || 33 || 823 || 0 || 7142 || 72 || NULL || NULL || 10.0 || 15 || 29.1 || 14 || 71.2 || 98 || 63.1 || 17 || 82.8 || 89 || 2010 || 14.7 || 2 || 36.5 || 16.1 || 33 || 5.3 || 12.5 || 14.6 || 15.7 || 1.5 || 40.9 || 17.2 || 36.4 || 5.6 || 17.2 || 11.1 ||232937|100724|405997|113607|139533|144005|228501|101480|131876|144759|419509|176479|243197|228529|372222|228431|206695|139366|159993|224147 || 13 || 386 || 99.7|07 || NULL || 882 */ /* column definitions { "unitid": "unique Education Unit ID number", "chronname": "Institution name", "city": "Institution city", "state": "Institution state", "level": "Level of institution", "control": "Control of institution", "basic": "Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version)", "hbcu": "Denotes Historically Black College and Universities", "flagship": "Denotes Public flagship institutions", "long_x": "Institution longitude", "lat_y": "Institution latitude", "site": "Institution Web site address", "student_count": "Total number of undergraduates in 2010", "awards_per_value": "Completions per 100 FTE (full-time equivalency) undergraduate students (average 2011, 2012, and 2013)", "awards_per_state_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, national sector average", "exp_award_value": "Estimated educational spending per academic award in 2013. Includes all certificates and degrees", "exp_award_state_value": "Spending per completion, state and sector average", "exp_award_natl_value": "Spending per completion, national sector average", "exp_award_percentile": "", "ft_pct": "Percentage of undergraduates who attend full-time", "fte_value": "total number of full-time equivalent undergraduates", "fte_percentile": "", "med_sat_value": "Median estimated SAT value for incoming students", "med_sat_percentile": "Institution's percent rank for median SAT value within sector", "aid_value": "The average amount of student aid going to undergraduate recipients", "aid_percentile": "Institution's percent rank for average amount of student aid going to undergraduate recipients within sector", "endow_value": "End-of-year endowment value per full-time equivalent student", "endow_percentile": "Institution's percent rank for endowment value per full-time equivalent student within sector", "grad_100_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_100_percentile": "Institution's percent rank for completers within 100 percent of normal time within sector", "grad_150_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_150_percentile": "Institution's percent rank for completers within 150 percent of normal time within sector", "pell_value": "percentage of undergraduates receiving a Pell Grant", "pell_percentile": "Institution's percent rank for undergraduate Pell recipients within sector", "retain_value": "share of freshman students retained for a second year", "retain_percentile": "Institution's percent rank for freshman retention percentage within sector", "ft_fac_value": "Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school", "ft_fac_percentile": "Institution's percent rank for full-time faculty share within sector ", "vsa_year": "Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability", "vsa_grad_after4_first": "First-time, full-time students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_first": "First-time, full-time students who graduated from another institution within four years", "vsa_enroll_after4_first": "First-time, full-time students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_first": "First-time, full-time students who are enrolled at another institution after four years", "vsa_grad_after6_first": "First-time, full-time students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_first": "First-time, full-time students who graduated from another institution within six years", "vsa_enroll_after6_first": "First-time, full-time students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_first": "First-time, full-time students who are enrolled at another institution after six years", "vsa_grad_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_enroll_after4_transfer": "Full-time transfer students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_transfer": "Full-time transfer students who are enrolled at another institution after four years", "vsa_grad_after6_transfer": "Full-time transfer students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_transfer": "Full-time transfer students who graduated from another institution within six years", "vsa_enroll_after6_transfer": "Full-time transfer students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_transfer": "Full-time transfer students who are enrolled at another institution after six years", "similar": "", "state_sector_ct": "", "carnegie_ct": "", "counted_pct": "", "nicknames": "", "cohort_size": "" }*/ CREATE TABLE institution_grads ( unitid INTEGER, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, foreign key (unitid) references institution_details(unitid) ) /* 1 example row: SELECT * FROM institution_grads LIMIT 1; unitid ||year ||gender ||race ||cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate 100760 ||2011 || B || X ||2y all || 446 || 73 || 105 || 16.4 || 23.5 */ /* column definitions { "unitid": "Education Unit ID number", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time" }*/ CREATE TABLE state_sector_grads ( stateid INTEGER, state TEXT, state_abbr TEXT, control TEXT, level TEXT, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, grad_cohort_ct INTEGER, foreign key (state) references institution_details(state), foreign key (stateid) references state_sector_details(stateid) ) /* 1 example row: SELECT * FROM state_sector_grads LIMIT 1; stateid || state ||state_abbr || control || level ||year ||gender ||race || cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate ||grad_cohort_ct 1 ||Alabama || AL ||Private for-profit ||4-year ||2011 || B || A ||4y bach || 0 || 0 || 0 || NULL || NULL || 9 */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_abbr": "", "control": "", "level": "Level of institution", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time", "grad_cohort_ct": "Number of institutions with data included in the cohort" }*/ CREATE TABLE "state_sector_details" ( stateid INTEGER, state TEXT references institution_details (state), state_post TEXT, level TEXT, control TEXT, schools_count INTEGER, counted_pct TEXT, awards_per_state_value TEXT, awards_per_natl_value REAL, exp_award_state_value TEXT, exp_award_natl_value INTEGER, state_appr_value TEXT, state_appr_rank TEXT, grad_rate_rank TEXT, awards_per_rank TEXT, primary key (stateid, level, control) ) /* 1 example row: SELECT * FROM state_sector_details LIMIT 1; stateid || state ||state_post || level ||control ||schools_count ||counted_pct ||awards_per_state_value ||awards_per_natl_value ||exp_award_state_value ||exp_award_natl_value ||state_appr_value ||state_appr_rank ||grad_rate_rank ||awards_per_rank 0 ||United States || U.S. ||4-year || Public || 632 || NULL || NULL || 21.5 || NULL || 66436 || NULL || NULL || 23 || NULL */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_post": "", "level": "Level of institution", "control": "", "schools_count": "", "counted_pct": "Percentage of students in the entering class (Fall 2007 at 4-year institutions, Fall 2010 at 2-year institutions) who are first-time, full-time, degree-seeking students and generally part of the official graduation rate", "awards_per_state_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, national sector average", "exp_award_state_value": "Spending per completion, state and sector average ", "exp_award_natl_value": "Spending per completion, national sector average", "state_appr_value": "State appropriations to higher education in fiscal year 2011 per resident", "state_appr_rank": "", "grad_rate_rank": "", "awards_per_rank": "" }*/
3,751
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE institution_details ( unitid INTEGER constraint institution_details_pk primary key, chronname TEXT, city TEXT, state TEXT, level TEXT, control TEXT, basic TEXT, hbcu TEXT, flagship TEXT, long_x REAL, lat_y REAL, site TEXT, student_count INTEGER, awards_per_value REAL, awards_per_state_value REAL, awards_per_natl_value REAL, exp_award_value INTEGER, exp_award_state_value INTEGER, exp_award_natl_value INTEGER, exp_award_percentile INTEGER, ft_pct REAL, fte_value INTEGER, fte_percentile INTEGER, med_sat_value TEXT, med_sat_percentile TEXT, aid_value INTEGER, aid_percentile INTEGER, endow_value TEXT, endow_percentile TEXT, grad_100_value REAL, grad_100_percentile INTEGER, grad_150_value REAL, grad_150_percentile INTEGER, pell_value REAL, pell_percentile INTEGER, retain_value REAL, retain_percentile INTEGER, ft_fac_value REAL, ft_fac_percentile INTEGER, vsa_year TEXT, vsa_grad_after4_first TEXT, vsa_grad_elsewhere_after4_first TEXT, vsa_enroll_after4_first TEXT, vsa_enroll_elsewhere_after4_first TEXT, vsa_grad_after6_first TEXT, vsa_grad_elsewhere_after6_first TEXT, vsa_enroll_after6_first TEXT, vsa_enroll_elsewhere_after6_first TEXT, vsa_grad_after4_transfer TEXT, vsa_grad_elsewhere_after4_transfer TEXT, vsa_enroll_after4_transfer TEXT, vsa_enroll_elsewhere_after4_transfer TEXT, vsa_grad_after6_transfer TEXT, vsa_grad_elsewhere_after6_transfer TEXT, vsa_enroll_after6_transfer TEXT, vsa_enroll_elsewhere_after6_transfer TEXT, similar TEXT, state_sector_ct INTEGER, carnegie_ct INTEGER, counted_pct TEXT, nicknames TEXT, cohort_size INTEGER ) /* 1 example row: SELECT * FROM institution_details LIMIT 1; unitid || chronname || city || state || level ||control || basic ||hbcu ||flagship || long_x || lat_y || site ||student_count ||awards_per_value ||awards_per_state_value ||awards_per_natl_value ||exp_award_value ||exp_award_state_value ||exp_award_natl_value ||exp_award_percentile ||ft_pct ||fte_value ||fte_percentile ||med_sat_value ||med_sat_percentile ||aid_value ||aid_percentile ||endow_value ||endow_percentile ||grad_100_value ||grad_100_percentile ||grad_150_value ||grad_150_percentile ||pell_value ||pell_percentile ||retain_value ||retain_percentile ||ft_fac_value ||ft_fac_percentile ||vsa_year ||vsa_grad_after4_first ||vsa_grad_elsewhere_after4_first ||vsa_enroll_after4_first ||vsa_enroll_elsewhere_after4_first ||vsa_grad_after6_first ||vsa_grad_elsewhere_after6_first ||vsa_enroll_after6_first ||vsa_enroll_elsewhere_after6_first ||vsa_grad_after4_transfer ||vsa_grad_elsewhere_after4_transfer ||vsa_enroll_after4_transfer ||vsa_enroll_elsewhere_after4_transfer ||vsa_grad_after6_transfer ||vsa_grad_elsewhere_after6_transfer ||vsa_enroll_after6_transfer ||vsa_enroll_elsewhere_after6_transfer || similar ||state_sector_ct ||carnegie_ct ||counted_pct ||nicknames ||cohort_size 100654 ||Alabama A&M University ||Normal ||Alabama ||4-year || Public ||Masters Colleges and Universities--larger programs || X || NULL ||-86.568502 ||34.783368 ||www.aamu.edu/ || 4051 || 14.2 || 18.8 || 21.5 || 105331 || 75743 || 66436 || 90 || 93.8 || 3906 || 33 || 823 || 0 || 7142 || 72 || NULL || NULL || 10.0 || 15 || 29.1 || 14 || 71.2 || 98 || 63.1 || 17 || 82.8 || 89 || 2010 || 14.7 || 2 || 36.5 || 16.1 || 33 || 5.3 || 12.5 || 14.6 || 15.7 || 1.5 || 40.9 || 17.2 || 36.4 || 5.6 || 17.2 || 11.1 ||232937|100724|405997|113607|139533|144005|228501|101480|131876|144759|419509|176479|243197|228529|372222|228431|206695|139366|159993|224147 || 13 || 386 || 99.7|07 || NULL || 882 */ /* column definitions { "unitid": "unique Education Unit ID number", "chronname": "Institution name", "city": "Institution city", "state": "Institution state", "level": "Level of institution", "control": "Control of institution", "basic": "Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version)", "hbcu": "Denotes Historically Black College and Universities", "flagship": "Denotes Public flagship institutions", "long_x": "Institution longitude", "lat_y": "Institution latitude", "site": "Institution Web site address", "student_count": "Total number of undergraduates in 2010", "awards_per_value": "Completions per 100 FTE (full-time equivalency) undergraduate students (average 2011, 2012, and 2013)", "awards_per_state_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, national sector average", "exp_award_value": "Estimated educational spending per academic award in 2013. Includes all certificates and degrees", "exp_award_state_value": "Spending per completion, state and sector average", "exp_award_natl_value": "Spending per completion, national sector average", "exp_award_percentile": "", "ft_pct": "Percentage of undergraduates who attend full-time", "fte_value": "total number of full-time equivalent undergraduates", "fte_percentile": "", "med_sat_value": "Median estimated SAT value for incoming students", "med_sat_percentile": "Institution's percent rank for median SAT value within sector", "aid_value": "The average amount of student aid going to undergraduate recipients", "aid_percentile": "Institution's percent rank for average amount of student aid going to undergraduate recipients within sector", "endow_value": "End-of-year endowment value per full-time equivalent student", "endow_percentile": "Institution's percent rank for endowment value per full-time equivalent student within sector", "grad_100_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_100_percentile": "Institution's percent rank for completers within 100 percent of normal time within sector", "grad_150_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_150_percentile": "Institution's percent rank for completers within 150 percent of normal time within sector", "pell_value": "percentage of undergraduates receiving a Pell Grant", "pell_percentile": "Institution's percent rank for undergraduate Pell recipients within sector", "retain_value": "share of freshman students retained for a second year", "retain_percentile": "Institution's percent rank for freshman retention percentage within sector", "ft_fac_value": "Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school", "ft_fac_percentile": "Institution's percent rank for full-time faculty share within sector ", "vsa_year": "Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability", "vsa_grad_after4_first": "First-time, full-time students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_first": "First-time, full-time students who graduated from another institution within four years", "vsa_enroll_after4_first": "First-time, full-time students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_first": "First-time, full-time students who are enrolled at another institution after four years", "vsa_grad_after6_first": "First-time, full-time students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_first": "First-time, full-time students who graduated from another institution within six years", "vsa_enroll_after6_first": "First-time, full-time students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_first": "First-time, full-time students who are enrolled at another institution after six years", "vsa_grad_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_enroll_after4_transfer": "Full-time transfer students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_transfer": "Full-time transfer students who are enrolled at another institution after four years", "vsa_grad_after6_transfer": "Full-time transfer students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_transfer": "Full-time transfer students who graduated from another institution within six years", "vsa_enroll_after6_transfer": "Full-time transfer students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_transfer": "Full-time transfer students who are enrolled at another institution after six years", "similar": "", "state_sector_ct": "", "carnegie_ct": "", "counted_pct": "", "nicknames": "", "cohort_size": "" }*/ CREATE TABLE institution_grads ( unitid INTEGER, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, foreign key (unitid) references institution_details(unitid) ) /* 1 example row: SELECT * FROM institution_grads LIMIT 1; unitid ||year ||gender ||race ||cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate 100760 ||2011 || B || X ||2y all || 446 || 73 || 105 || 16.4 || 23.5 */ /* column definitions { "unitid": "Education Unit ID number", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time" }*/ CREATE TABLE state_sector_grads ( stateid INTEGER, state TEXT, state_abbr TEXT, control TEXT, level TEXT, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, grad_cohort_ct INTEGER, foreign key (state) references institution_details(state), foreign key (stateid) references state_sector_details(stateid) ) /* 1 example row: SELECT * FROM state_sector_grads LIMIT 1; stateid || state ||state_abbr || control || level ||year ||gender ||race || cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate ||grad_cohort_ct 1 ||Alabama || AL ||Private for-profit ||4-year ||2011 || B || A ||4y bach || 0 || 0 || 0 || NULL || NULL || 9 */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_abbr": "", "control": "", "level": "Level of institution", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time", "grad_cohort_ct": "Number of institutions with data included in the cohort" }*/ CREATE TABLE "state_sector_details" ( stateid INTEGER, state TEXT references institution_details (state), state_post TEXT, level TEXT, control TEXT, schools_count INTEGER, counted_pct TEXT, awards_per_state_value TEXT, awards_per_natl_value REAL, exp_award_state_value TEXT, exp_award_natl_value INTEGER, state_appr_value TEXT, state_appr_rank TEXT, grad_rate_rank TEXT, awards_per_rank TEXT, primary key (stateid, level, control) ) /* 1 example row: SELECT * FROM state_sector_details LIMIT 1; stateid || state ||state_post || level ||control ||schools_count ||counted_pct ||awards_per_state_value ||awards_per_natl_value ||exp_award_state_value ||exp_award_natl_value ||state_appr_value ||state_appr_rank ||grad_rate_rank ||awards_per_rank 0 ||United States || U.S. ||4-year || Public || 632 || NULL || NULL || 21.5 || NULL || 66436 || NULL || NULL || 23 || NULL */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_post": "", "level": "Level of institution", "control": "", "schools_count": "", "counted_pct": "Percentage of students in the entering class (Fall 2007 at 4-year institutions, Fall 2010 at 2-year institutions) who are first-time, full-time, degree-seeking students and generally part of the official graduation rate", "awards_per_state_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, national sector average", "exp_award_state_value": "Spending per completion, state and sector average ", "exp_award_natl_value": "Spending per completion, national sector average", "state_appr_value": "State appropriations to higher education in fiscal year 2011 per resident", "state_appr_rank": "", "grad_rate_rank": "", "awards_per_rank": "" }*/ ### Question Between the Ivy League Schools, which school's state have the lowest sate appropriations to higher education in fiscal year 2011 per resident? Clarification: Ivy League Schools refers to chronname = 'Brown University' or chronname = 'Columbia University' or chronname = 'Cornell University' or chronname = 'Dartmouth College' or chronname = 'Harvard University' or chronname = 'Princeton University' or chronname = 'University of Pennsylvania' or chronname = 'Yale University'; lowest state appropriations to higher education in fiscal year 2011 per resident refers to MIN(state_appr_value);
[query_database(**{'query': 'SELECT T1.state FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 ON T2.state = T1.state WHERE T1.chronname IN ( 'Brown University', 'Columbia University', 'Cornell University', 'Dartmouth College', 'Harvard University', 'Princeton University', 'University of Pennsylvania', 'Yale University' ) GROUP BY T1.state ORDER BY SUM(T2.state_appr_value) 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 institution_details ( unitid INTEGER constraint institution_details_pk primary key, chronname TEXT, city TEXT, state TEXT, level TEXT, control TEXT, basic TEXT, hbcu TEXT, flagship TEXT, long_x REAL, lat_y REAL, site TEXT, student_count INTEGER, awards_per_value REAL, awards_per_state_value REAL, awards_per_natl_value REAL, exp_award_value INTEGER, exp_award_state_value INTEGER, exp_award_natl_value INTEGER, exp_award_percentile INTEGER, ft_pct REAL, fte_value INTEGER, fte_percentile INTEGER, med_sat_value TEXT, med_sat_percentile TEXT, aid_value INTEGER, aid_percentile INTEGER, endow_value TEXT, endow_percentile TEXT, grad_100_value REAL, grad_100_percentile INTEGER, grad_150_value REAL, grad_150_percentile INTEGER, pell_value REAL, pell_percentile INTEGER, retain_value REAL, retain_percentile INTEGER, ft_fac_value REAL, ft_fac_percentile INTEGER, vsa_year TEXT, vsa_grad_after4_first TEXT, vsa_grad_elsewhere_after4_first TEXT, vsa_enroll_after4_first TEXT, vsa_enroll_elsewhere_after4_first TEXT, vsa_grad_after6_first TEXT, vsa_grad_elsewhere_after6_first TEXT, vsa_enroll_after6_first TEXT, vsa_enroll_elsewhere_after6_first TEXT, vsa_grad_after4_transfer TEXT, vsa_grad_elsewhere_after4_transfer TEXT, vsa_enroll_after4_transfer TEXT, vsa_enroll_elsewhere_after4_transfer TEXT, vsa_grad_after6_transfer TEXT, vsa_grad_elsewhere_after6_transfer TEXT, vsa_enroll_after6_transfer TEXT, vsa_enroll_elsewhere_after6_transfer TEXT, similar TEXT, state_sector_ct INTEGER, carnegie_ct INTEGER, counted_pct TEXT, nicknames TEXT, cohort_size INTEGER ) /* 1 example row: SELECT * FROM institution_details LIMIT 1; unitid || chronname || city || state || level ||control || basic ||hbcu ||flagship || long_x || lat_y || site ||student_count ||awards_per_value ||awards_per_state_value ||awards_per_natl_value ||exp_award_value ||exp_award_state_value ||exp_award_natl_value ||exp_award_percentile ||ft_pct ||fte_value ||fte_percentile ||med_sat_value ||med_sat_percentile ||aid_value ||aid_percentile ||endow_value ||endow_percentile ||grad_100_value ||grad_100_percentile ||grad_150_value ||grad_150_percentile ||pell_value ||pell_percentile ||retain_value ||retain_percentile ||ft_fac_value ||ft_fac_percentile ||vsa_year ||vsa_grad_after4_first ||vsa_grad_elsewhere_after4_first ||vsa_enroll_after4_first ||vsa_enroll_elsewhere_after4_first ||vsa_grad_after6_first ||vsa_grad_elsewhere_after6_first ||vsa_enroll_after6_first ||vsa_enroll_elsewhere_after6_first ||vsa_grad_after4_transfer ||vsa_grad_elsewhere_after4_transfer ||vsa_enroll_after4_transfer ||vsa_enroll_elsewhere_after4_transfer ||vsa_grad_after6_transfer ||vsa_grad_elsewhere_after6_transfer ||vsa_enroll_after6_transfer ||vsa_enroll_elsewhere_after6_transfer || similar ||state_sector_ct ||carnegie_ct ||counted_pct ||nicknames ||cohort_size 100654 ||Alabama A&M University ||Normal ||Alabama ||4-year || Public ||Masters Colleges and Universities--larger programs || X || NULL ||-86.568502 ||34.783368 ||www.aamu.edu/ || 4051 || 14.2 || 18.8 || 21.5 || 105331 || 75743 || 66436 || 90 || 93.8 || 3906 || 33 || 823 || 0 || 7142 || 72 || NULL || NULL || 10.0 || 15 || 29.1 || 14 || 71.2 || 98 || 63.1 || 17 || 82.8 || 89 || 2010 || 14.7 || 2 || 36.5 || 16.1 || 33 || 5.3 || 12.5 || 14.6 || 15.7 || 1.5 || 40.9 || 17.2 || 36.4 || 5.6 || 17.2 || 11.1 ||232937|100724|405997|113607|139533|144005|228501|101480|131876|144759|419509|176479|243197|228529|372222|228431|206695|139366|159993|224147 || 13 || 386 || 99.7|07 || NULL || 882 */ /* column definitions { "unitid": "unique Education Unit ID number", "chronname": "Institution name", "city": "Institution city", "state": "Institution state", "level": "Level of institution", "control": "Control of institution", "basic": "Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version)", "hbcu": "Denotes Historically Black College and Universities", "flagship": "Denotes Public flagship institutions", "long_x": "Institution longitude", "lat_y": "Institution latitude", "site": "Institution Web site address", "student_count": "Total number of undergraduates in 2010", "awards_per_value": "Completions per 100 FTE (full-time equivalency) undergraduate students (average 2011, 2012, and 2013)", "awards_per_state_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, national sector average", "exp_award_value": "Estimated educational spending per academic award in 2013. Includes all certificates and degrees", "exp_award_state_value": "Spending per completion, state and sector average", "exp_award_natl_value": "Spending per completion, national sector average", "exp_award_percentile": "", "ft_pct": "Percentage of undergraduates who attend full-time", "fte_value": "total number of full-time equivalent undergraduates", "fte_percentile": "", "med_sat_value": "Median estimated SAT value for incoming students", "med_sat_percentile": "Institution's percent rank for median SAT value within sector", "aid_value": "The average amount of student aid going to undergraduate recipients", "aid_percentile": "Institution's percent rank for average amount of student aid going to undergraduate recipients within sector", "endow_value": "End-of-year endowment value per full-time equivalent student", "endow_percentile": "Institution's percent rank for endowment value per full-time equivalent student within sector", "grad_100_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_100_percentile": "Institution's percent rank for completers within 100 percent of normal time within sector", "grad_150_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_150_percentile": "Institution's percent rank for completers within 150 percent of normal time within sector", "pell_value": "percentage of undergraduates receiving a Pell Grant", "pell_percentile": "Institution's percent rank for undergraduate Pell recipients within sector", "retain_value": "share of freshman students retained for a second year", "retain_percentile": "Institution's percent rank for freshman retention percentage within sector", "ft_fac_value": "Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school", "ft_fac_percentile": "Institution's percent rank for full-time faculty share within sector ", "vsa_year": "Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability", "vsa_grad_after4_first": "First-time, full-time students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_first": "First-time, full-time students who graduated from another institution within four years", "vsa_enroll_after4_first": "First-time, full-time students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_first": "First-time, full-time students who are enrolled at another institution after four years", "vsa_grad_after6_first": "First-time, full-time students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_first": "First-time, full-time students who graduated from another institution within six years", "vsa_enroll_after6_first": "First-time, full-time students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_first": "First-time, full-time students who are enrolled at another institution after six years", "vsa_grad_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_enroll_after4_transfer": "Full-time transfer students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_transfer": "Full-time transfer students who are enrolled at another institution after four years", "vsa_grad_after6_transfer": "Full-time transfer students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_transfer": "Full-time transfer students who graduated from another institution within six years", "vsa_enroll_after6_transfer": "Full-time transfer students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_transfer": "Full-time transfer students who are enrolled at another institution after six years", "similar": "", "state_sector_ct": "", "carnegie_ct": "", "counted_pct": "", "nicknames": "", "cohort_size": "" }*/ CREATE TABLE institution_grads ( unitid INTEGER, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, foreign key (unitid) references institution_details(unitid) ) /* 1 example row: SELECT * FROM institution_grads LIMIT 1; unitid ||year ||gender ||race ||cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate 100760 ||2011 || B || X ||2y all || 446 || 73 || 105 || 16.4 || 23.5 */ /* column definitions { "unitid": "Education Unit ID number", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time" }*/ CREATE TABLE state_sector_grads ( stateid INTEGER, state TEXT, state_abbr TEXT, control TEXT, level TEXT, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, grad_cohort_ct INTEGER, foreign key (state) references institution_details(state), foreign key (stateid) references state_sector_details(stateid) ) /* 1 example row: SELECT * FROM state_sector_grads LIMIT 1; stateid || state ||state_abbr || control || level ||year ||gender ||race || cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate ||grad_cohort_ct 1 ||Alabama || AL ||Private for-profit ||4-year ||2011 || B || A ||4y bach || 0 || 0 || 0 || NULL || NULL || 9 */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_abbr": "", "control": "", "level": "Level of institution", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time", "grad_cohort_ct": "Number of institutions with data included in the cohort" }*/ CREATE TABLE "state_sector_details" ( stateid INTEGER, state TEXT references institution_details (state), state_post TEXT, level TEXT, control TEXT, schools_count INTEGER, counted_pct TEXT, awards_per_state_value TEXT, awards_per_natl_value REAL, exp_award_state_value TEXT, exp_award_natl_value INTEGER, state_appr_value TEXT, state_appr_rank TEXT, grad_rate_rank TEXT, awards_per_rank TEXT, primary key (stateid, level, control) ) /* 1 example row: SELECT * FROM state_sector_details LIMIT 1; stateid || state ||state_post || level ||control ||schools_count ||counted_pct ||awards_per_state_value ||awards_per_natl_value ||exp_award_state_value ||exp_award_natl_value ||state_appr_value ||state_appr_rank ||grad_rate_rank ||awards_per_rank 0 ||United States || U.S. ||4-year || Public || 632 || NULL || NULL || 21.5 || NULL || 66436 || NULL || NULL || 23 || NULL */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_post": "", "level": "Level of institution", "control": "", "schools_count": "", "counted_pct": "Percentage of students in the entering class (Fall 2007 at 4-year institutions, Fall 2010 at 2-year institutions) who are first-time, full-time, degree-seeking students and generally part of the official graduation rate", "awards_per_state_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, national sector average", "exp_award_state_value": "Spending per completion, state and sector average ", "exp_award_natl_value": "Spending per completion, national sector average", "state_appr_value": "State appropriations to higher education in fiscal year 2011 per resident", "state_appr_rank": "", "grad_rate_rank": "", "awards_per_rank": "" }*/
3,755
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE institution_details ( unitid INTEGER constraint institution_details_pk primary key, chronname TEXT, city TEXT, state TEXT, level TEXT, control TEXT, basic TEXT, hbcu TEXT, flagship TEXT, long_x REAL, lat_y REAL, site TEXT, student_count INTEGER, awards_per_value REAL, awards_per_state_value REAL, awards_per_natl_value REAL, exp_award_value INTEGER, exp_award_state_value INTEGER, exp_award_natl_value INTEGER, exp_award_percentile INTEGER, ft_pct REAL, fte_value INTEGER, fte_percentile INTEGER, med_sat_value TEXT, med_sat_percentile TEXT, aid_value INTEGER, aid_percentile INTEGER, endow_value TEXT, endow_percentile TEXT, grad_100_value REAL, grad_100_percentile INTEGER, grad_150_value REAL, grad_150_percentile INTEGER, pell_value REAL, pell_percentile INTEGER, retain_value REAL, retain_percentile INTEGER, ft_fac_value REAL, ft_fac_percentile INTEGER, vsa_year TEXT, vsa_grad_after4_first TEXT, vsa_grad_elsewhere_after4_first TEXT, vsa_enroll_after4_first TEXT, vsa_enroll_elsewhere_after4_first TEXT, vsa_grad_after6_first TEXT, vsa_grad_elsewhere_after6_first TEXT, vsa_enroll_after6_first TEXT, vsa_enroll_elsewhere_after6_first TEXT, vsa_grad_after4_transfer TEXT, vsa_grad_elsewhere_after4_transfer TEXT, vsa_enroll_after4_transfer TEXT, vsa_enroll_elsewhere_after4_transfer TEXT, vsa_grad_after6_transfer TEXT, vsa_grad_elsewhere_after6_transfer TEXT, vsa_enroll_after6_transfer TEXT, vsa_enroll_elsewhere_after6_transfer TEXT, similar TEXT, state_sector_ct INTEGER, carnegie_ct INTEGER, counted_pct TEXT, nicknames TEXT, cohort_size INTEGER ) /* 1 example row: SELECT * FROM institution_details LIMIT 1; unitid || chronname || city || state || level ||control || basic ||hbcu ||flagship || long_x || lat_y || site ||student_count ||awards_per_value ||awards_per_state_value ||awards_per_natl_value ||exp_award_value ||exp_award_state_value ||exp_award_natl_value ||exp_award_percentile ||ft_pct ||fte_value ||fte_percentile ||med_sat_value ||med_sat_percentile ||aid_value ||aid_percentile ||endow_value ||endow_percentile ||grad_100_value ||grad_100_percentile ||grad_150_value ||grad_150_percentile ||pell_value ||pell_percentile ||retain_value ||retain_percentile ||ft_fac_value ||ft_fac_percentile ||vsa_year ||vsa_grad_after4_first ||vsa_grad_elsewhere_after4_first ||vsa_enroll_after4_first ||vsa_enroll_elsewhere_after4_first ||vsa_grad_after6_first ||vsa_grad_elsewhere_after6_first ||vsa_enroll_after6_first ||vsa_enroll_elsewhere_after6_first ||vsa_grad_after4_transfer ||vsa_grad_elsewhere_after4_transfer ||vsa_enroll_after4_transfer ||vsa_enroll_elsewhere_after4_transfer ||vsa_grad_after6_transfer ||vsa_grad_elsewhere_after6_transfer ||vsa_enroll_after6_transfer ||vsa_enroll_elsewhere_after6_transfer || similar ||state_sector_ct ||carnegie_ct ||counted_pct ||nicknames ||cohort_size 100654 ||Alabama A&M University ||Normal ||Alabama ||4-year || Public ||Masters Colleges and Universities--larger programs || X || NULL ||-86.568502 ||34.783368 ||www.aamu.edu/ || 4051 || 14.2 || 18.8 || 21.5 || 105331 || 75743 || 66436 || 90 || 93.8 || 3906 || 33 || 823 || 0 || 7142 || 72 || NULL || NULL || 10.0 || 15 || 29.1 || 14 || 71.2 || 98 || 63.1 || 17 || 82.8 || 89 || 2010 || 14.7 || 2 || 36.5 || 16.1 || 33 || 5.3 || 12.5 || 14.6 || 15.7 || 1.5 || 40.9 || 17.2 || 36.4 || 5.6 || 17.2 || 11.1 ||232937|100724|405997|113607|139533|144005|228501|101480|131876|144759|419509|176479|243197|228529|372222|228431|206695|139366|159993|224147 || 13 || 386 || 99.7|07 || NULL || 882 */ /* column definitions { "unitid": "unique Education Unit ID number", "chronname": "Institution name", "city": "Institution city", "state": "Institution state", "level": "Level of institution", "control": "Control of institution", "basic": "Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version)", "hbcu": "Denotes Historically Black College and Universities", "flagship": "Denotes Public flagship institutions", "long_x": "Institution longitude", "lat_y": "Institution latitude", "site": "Institution Web site address", "student_count": "Total number of undergraduates in 2010", "awards_per_value": "Completions per 100 FTE (full-time equivalency) undergraduate students (average 2011, 2012, and 2013)", "awards_per_state_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, national sector average", "exp_award_value": "Estimated educational spending per academic award in 2013. Includes all certificates and degrees", "exp_award_state_value": "Spending per completion, state and sector average", "exp_award_natl_value": "Spending per completion, national sector average", "exp_award_percentile": "", "ft_pct": "Percentage of undergraduates who attend full-time", "fte_value": "total number of full-time equivalent undergraduates", "fte_percentile": "", "med_sat_value": "Median estimated SAT value for incoming students", "med_sat_percentile": "Institution's percent rank for median SAT value within sector", "aid_value": "The average amount of student aid going to undergraduate recipients", "aid_percentile": "Institution's percent rank for average amount of student aid going to undergraduate recipients within sector", "endow_value": "End-of-year endowment value per full-time equivalent student", "endow_percentile": "Institution's percent rank for endowment value per full-time equivalent student within sector", "grad_100_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_100_percentile": "Institution's percent rank for completers within 100 percent of normal time within sector", "grad_150_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_150_percentile": "Institution's percent rank for completers within 150 percent of normal time within sector", "pell_value": "percentage of undergraduates receiving a Pell Grant", "pell_percentile": "Institution's percent rank for undergraduate Pell recipients within sector", "retain_value": "share of freshman students retained for a second year", "retain_percentile": "Institution's percent rank for freshman retention percentage within sector", "ft_fac_value": "Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school", "ft_fac_percentile": "Institution's percent rank for full-time faculty share within sector ", "vsa_year": "Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability", "vsa_grad_after4_first": "First-time, full-time students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_first": "First-time, full-time students who graduated from another institution within four years", "vsa_enroll_after4_first": "First-time, full-time students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_first": "First-time, full-time students who are enrolled at another institution after four years", "vsa_grad_after6_first": "First-time, full-time students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_first": "First-time, full-time students who graduated from another institution within six years", "vsa_enroll_after6_first": "First-time, full-time students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_first": "First-time, full-time students who are enrolled at another institution after six years", "vsa_grad_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_enroll_after4_transfer": "Full-time transfer students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_transfer": "Full-time transfer students who are enrolled at another institution after four years", "vsa_grad_after6_transfer": "Full-time transfer students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_transfer": "Full-time transfer students who graduated from another institution within six years", "vsa_enroll_after6_transfer": "Full-time transfer students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_transfer": "Full-time transfer students who are enrolled at another institution after six years", "similar": "", "state_sector_ct": "", "carnegie_ct": "", "counted_pct": "", "nicknames": "", "cohort_size": "" }*/ CREATE TABLE institution_grads ( unitid INTEGER, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, foreign key (unitid) references institution_details(unitid) ) /* 1 example row: SELECT * FROM institution_grads LIMIT 1; unitid ||year ||gender ||race ||cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate 100760 ||2011 || B || X ||2y all || 446 || 73 || 105 || 16.4 || 23.5 */ /* column definitions { "unitid": "Education Unit ID number", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time" }*/ CREATE TABLE state_sector_grads ( stateid INTEGER, state TEXT, state_abbr TEXT, control TEXT, level TEXT, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, grad_cohort_ct INTEGER, foreign key (state) references institution_details(state), foreign key (stateid) references state_sector_details(stateid) ) /* 1 example row: SELECT * FROM state_sector_grads LIMIT 1; stateid || state ||state_abbr || control || level ||year ||gender ||race || cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate ||grad_cohort_ct 1 ||Alabama || AL ||Private for-profit ||4-year ||2011 || B || A ||4y bach || 0 || 0 || 0 || NULL || NULL || 9 */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_abbr": "", "control": "", "level": "Level of institution", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time", "grad_cohort_ct": "Number of institutions with data included in the cohort" }*/ CREATE TABLE "state_sector_details" ( stateid INTEGER, state TEXT references institution_details (state), state_post TEXT, level TEXT, control TEXT, schools_count INTEGER, counted_pct TEXT, awards_per_state_value TEXT, awards_per_natl_value REAL, exp_award_state_value TEXT, exp_award_natl_value INTEGER, state_appr_value TEXT, state_appr_rank TEXT, grad_rate_rank TEXT, awards_per_rank TEXT, primary key (stateid, level, control) ) /* 1 example row: SELECT * FROM state_sector_details LIMIT 1; stateid || state ||state_post || level ||control ||schools_count ||counted_pct ||awards_per_state_value ||awards_per_natl_value ||exp_award_state_value ||exp_award_natl_value ||state_appr_value ||state_appr_rank ||grad_rate_rank ||awards_per_rank 0 ||United States || U.S. ||4-year || Public || 632 || NULL || NULL || 21.5 || NULL || 66436 || NULL || NULL || 23 || NULL */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_post": "", "level": "Level of institution", "control": "", "schools_count": "", "counted_pct": "Percentage of students in the entering class (Fall 2007 at 4-year institutions, Fall 2010 at 2-year institutions) who are first-time, full-time, degree-seeking students and generally part of the official graduation rate", "awards_per_state_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, national sector average", "exp_award_state_value": "Spending per completion, state and sector average ", "exp_award_natl_value": "Spending per completion, national sector average", "state_appr_value": "State appropriations to higher education in fiscal year 2011 per resident", "state_appr_rank": "", "grad_rate_rank": "", "awards_per_rank": "" }*/ ### Question Among the Ivy League Schools in 2013, which schools have the highest number of Black students who graduated within 150 percent of normal/expected time who were seeking a bachelor's/equivalent cohort at 4-year institutions? Clarification: Ivy League Schools refers to chronname = 'Brown University' or chronname = 'Columbia University' or chronname = 'Cornell University' or chronname = 'Dartmouth College' or chronname = 'Harvard University' or chronname = 'Princeton University' or chronname = 'University of Pennsylvania' or chronname = 'Yale University'; in 2013 refers to year = '2013'; highest number of Black students who graduated within 150 percent of normal/expected time refers to MAX(grad_150 WHERE race = 'B'); seeking a bachelor's/equivalent cohort at 4-year institutions refers to cohort = '4y bach';
[query_database(**{'query': 'SELECT T1.chronname FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.chronname IN ( 'Brown University', 'Columbia University', 'Cornell University', 'Dartmouth College', 'Harvard University', 'Princeton University', 'University of Pennsylvania', 'Yale University' ) AND T2.year = 2013 AND T2.race = 'B' AND T2.cohort = '4y bach' ORDER BY T2.grad_cohort 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 institution_details ( unitid INTEGER constraint institution_details_pk primary key, chronname TEXT, city TEXT, state TEXT, level TEXT, control TEXT, basic TEXT, hbcu TEXT, flagship TEXT, long_x REAL, lat_y REAL, site TEXT, student_count INTEGER, awards_per_value REAL, awards_per_state_value REAL, awards_per_natl_value REAL, exp_award_value INTEGER, exp_award_state_value INTEGER, exp_award_natl_value INTEGER, exp_award_percentile INTEGER, ft_pct REAL, fte_value INTEGER, fte_percentile INTEGER, med_sat_value TEXT, med_sat_percentile TEXT, aid_value INTEGER, aid_percentile INTEGER, endow_value TEXT, endow_percentile TEXT, grad_100_value REAL, grad_100_percentile INTEGER, grad_150_value REAL, grad_150_percentile INTEGER, pell_value REAL, pell_percentile INTEGER, retain_value REAL, retain_percentile INTEGER, ft_fac_value REAL, ft_fac_percentile INTEGER, vsa_year TEXT, vsa_grad_after4_first TEXT, vsa_grad_elsewhere_after4_first TEXT, vsa_enroll_after4_first TEXT, vsa_enroll_elsewhere_after4_first TEXT, vsa_grad_after6_first TEXT, vsa_grad_elsewhere_after6_first TEXT, vsa_enroll_after6_first TEXT, vsa_enroll_elsewhere_after6_first TEXT, vsa_grad_after4_transfer TEXT, vsa_grad_elsewhere_after4_transfer TEXT, vsa_enroll_after4_transfer TEXT, vsa_enroll_elsewhere_after4_transfer TEXT, vsa_grad_after6_transfer TEXT, vsa_grad_elsewhere_after6_transfer TEXT, vsa_enroll_after6_transfer TEXT, vsa_enroll_elsewhere_after6_transfer TEXT, similar TEXT, state_sector_ct INTEGER, carnegie_ct INTEGER, counted_pct TEXT, nicknames TEXT, cohort_size INTEGER ) /* 1 example row: SELECT * FROM institution_details LIMIT 1; unitid || chronname || city || state || level ||control || basic ||hbcu ||flagship || long_x || lat_y || site ||student_count ||awards_per_value ||awards_per_state_value ||awards_per_natl_value ||exp_award_value ||exp_award_state_value ||exp_award_natl_value ||exp_award_percentile ||ft_pct ||fte_value ||fte_percentile ||med_sat_value ||med_sat_percentile ||aid_value ||aid_percentile ||endow_value ||endow_percentile ||grad_100_value ||grad_100_percentile ||grad_150_value ||grad_150_percentile ||pell_value ||pell_percentile ||retain_value ||retain_percentile ||ft_fac_value ||ft_fac_percentile ||vsa_year ||vsa_grad_after4_first ||vsa_grad_elsewhere_after4_first ||vsa_enroll_after4_first ||vsa_enroll_elsewhere_after4_first ||vsa_grad_after6_first ||vsa_grad_elsewhere_after6_first ||vsa_enroll_after6_first ||vsa_enroll_elsewhere_after6_first ||vsa_grad_after4_transfer ||vsa_grad_elsewhere_after4_transfer ||vsa_enroll_after4_transfer ||vsa_enroll_elsewhere_after4_transfer ||vsa_grad_after6_transfer ||vsa_grad_elsewhere_after6_transfer ||vsa_enroll_after6_transfer ||vsa_enroll_elsewhere_after6_transfer || similar ||state_sector_ct ||carnegie_ct ||counted_pct ||nicknames ||cohort_size 100654 ||Alabama A&M University ||Normal ||Alabama ||4-year || Public ||Masters Colleges and Universities--larger programs || X || NULL ||-86.568502 ||34.783368 ||www.aamu.edu/ || 4051 || 14.2 || 18.8 || 21.5 || 105331 || 75743 || 66436 || 90 || 93.8 || 3906 || 33 || 823 || 0 || 7142 || 72 || NULL || NULL || 10.0 || 15 || 29.1 || 14 || 71.2 || 98 || 63.1 || 17 || 82.8 || 89 || 2010 || 14.7 || 2 || 36.5 || 16.1 || 33 || 5.3 || 12.5 || 14.6 || 15.7 || 1.5 || 40.9 || 17.2 || 36.4 || 5.6 || 17.2 || 11.1 ||232937|100724|405997|113607|139533|144005|228501|101480|131876|144759|419509|176479|243197|228529|372222|228431|206695|139366|159993|224147 || 13 || 386 || 99.7|07 || NULL || 882 */ /* column definitions { "unitid": "unique Education Unit ID number", "chronname": "Institution name", "city": "Institution city", "state": "Institution state", "level": "Level of institution", "control": "Control of institution", "basic": "Carnegie Foundation for the Advancement of Teaching Basic Classification (2010 version)", "hbcu": "Denotes Historically Black College and Universities", "flagship": "Denotes Public flagship institutions", "long_x": "Institution longitude", "lat_y": "Institution latitude", "site": "Institution Web site address", "student_count": "Total number of undergraduates in 2010", "awards_per_value": "Completions per 100 FTE (full-time equivalency) undergraduate students (average 2011, 2012, and 2013)", "awards_per_state_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalency) undergraduate students, national sector average", "exp_award_value": "Estimated educational spending per academic award in 2013. Includes all certificates and degrees", "exp_award_state_value": "Spending per completion, state and sector average", "exp_award_natl_value": "Spending per completion, national sector average", "exp_award_percentile": "", "ft_pct": "Percentage of undergraduates who attend full-time", "fte_value": "total number of full-time equivalent undergraduates", "fte_percentile": "", "med_sat_value": "Median estimated SAT value for incoming students", "med_sat_percentile": "Institution's percent rank for median SAT value within sector", "aid_value": "The average amount of student aid going to undergraduate recipients", "aid_percentile": "Institution's percent rank for average amount of student aid going to undergraduate recipients within sector", "endow_value": "End-of-year endowment value per full-time equivalent student", "endow_percentile": "Institution's percent rank for endowment value per full-time equivalent student within sector", "grad_100_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 100 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_100_percentile": "Institution's percent rank for completers within 100 percent of normal time within sector", "grad_150_value": "percentage of first-time, full-time, degree-seeking undergraduates who complete a degree or certificate program within 150 percent of expected time (bachelor's-seeking group at 4-year institutions)", "grad_150_percentile": "Institution's percent rank for completers within 150 percent of normal time within sector", "pell_value": "percentage of undergraduates receiving a Pell Grant", "pell_percentile": "Institution's percent rank for undergraduate Pell recipients within sector", "retain_value": "share of freshman students retained for a second year", "retain_percentile": "Institution's percent rank for freshman retention percentage within sector", "ft_fac_value": "Percentage of employees devoted to instruction, research or public service who are full-time and do not work for an associated medical school", "ft_fac_percentile": "Institution's percent rank for full-time faculty share within sector ", "vsa_year": "Most recent year of Student Success and Progress Rate data available from the Voluntary System of Accountability", "vsa_grad_after4_first": "First-time, full-time students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_first": "First-time, full-time students who graduated from another institution within four years", "vsa_enroll_after4_first": "First-time, full-time students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_first": "First-time, full-time students who are enrolled at another institution after four years", "vsa_grad_after6_first": "First-time, full-time students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_first": "First-time, full-time students who graduated from another institution within six years", "vsa_enroll_after6_first": "First-time, full-time students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_first": "First-time, full-time students who are enrolled at another institution after six years", "vsa_grad_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_grad_elsewhere_after4_transfer": "Full-time transfer students who graduated from this institution within four years", "vsa_enroll_after4_transfer": "Full-time transfer students who are still enrolled at this institution after four years", "vsa_enroll_elsewhere_after4_transfer": "Full-time transfer students who are enrolled at another institution after four years", "vsa_grad_after6_transfer": "Full-time transfer students who graduated from this institution within six years", "vsa_grad_elsewhere_after6_transfer": "Full-time transfer students who graduated from another institution within six years", "vsa_enroll_after6_transfer": "Full-time transfer students who are still enrolled at this institution after six years", "vsa_enroll_elsewhere_after6_transfer": "Full-time transfer students who are enrolled at another institution after six years", "similar": "", "state_sector_ct": "", "carnegie_ct": "", "counted_pct": "", "nicknames": "", "cohort_size": "" }*/ CREATE TABLE institution_grads ( unitid INTEGER, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, foreign key (unitid) references institution_details(unitid) ) /* 1 example row: SELECT * FROM institution_grads LIMIT 1; unitid ||year ||gender ||race ||cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate 100760 ||2011 || B || X ||2y all || 446 || 73 || 105 || 16.4 || 23.5 */ /* column definitions { "unitid": "Education Unit ID number", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time" }*/ CREATE TABLE state_sector_grads ( stateid INTEGER, state TEXT, state_abbr TEXT, control TEXT, level TEXT, year INTEGER, gender TEXT, race TEXT, cohort TEXT, grad_cohort TEXT, grad_100 TEXT, grad_150 TEXT, grad_100_rate TEXT, grad_150_rate TEXT, grad_cohort_ct INTEGER, foreign key (state) references institution_details(state), foreign key (stateid) references state_sector_details(stateid) ) /* 1 example row: SELECT * FROM state_sector_grads LIMIT 1; stateid || state ||state_abbr || control || level ||year ||gender ||race || cohort ||grad_cohort ||grad_100 ||grad_150 ||grad_100_rate ||grad_150_rate ||grad_cohort_ct 1 ||Alabama || AL ||Private for-profit ||4-year ||2011 || B || A ||4y bach || 0 || 0 || 0 || NULL || NULL || 9 */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_abbr": "", "control": "", "level": "Level of institution", "year": "year of data release", "gender": "gender of students", "race": "race/ethnicity of students", "cohort": "degree-seeking cohort type", "grad_cohort": "Number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions", "grad_100": "Number of students who graduated within 100 percent of normal/expected time", "grad_150": "Number of students who graduated within 150 percent of normal/expected time", "grad_100_rate": "Percentage of students who graduated within 100 percent of normal/expected time", "grad_150_rate": "Percentage of students who graduated within 150 percent of normal/expected time", "grad_cohort_ct": "Number of institutions with data included in the cohort" }*/ CREATE TABLE "state_sector_details" ( stateid INTEGER, state TEXT references institution_details (state), state_post TEXT, level TEXT, control TEXT, schools_count INTEGER, counted_pct TEXT, awards_per_state_value TEXT, awards_per_natl_value REAL, exp_award_state_value TEXT, exp_award_natl_value INTEGER, state_appr_value TEXT, state_appr_rank TEXT, grad_rate_rank TEXT, awards_per_rank TEXT, primary key (stateid, level, control) ) /* 1 example row: SELECT * FROM state_sector_details LIMIT 1; stateid || state ||state_post || level ||control ||schools_count ||counted_pct ||awards_per_state_value ||awards_per_natl_value ||exp_award_state_value ||exp_award_natl_value ||state_appr_value ||state_appr_rank ||grad_rate_rank ||awards_per_rank 0 ||United States || U.S. ||4-year || Public || 632 || NULL || NULL || 21.5 || NULL || 66436 || NULL || NULL || 23 || NULL */ /* column definitions { "stateid": "state FIPS (Federal Information Processing System) code", "state": "state name ", "state_post": "", "level": "Level of institution", "control": "", "schools_count": "", "counted_pct": "Percentage of students in the entering class (Fall 2007 at 4-year institutions, Fall 2010 at 2-year institutions) who are first-time, full-time, degree-seeking students and generally part of the official graduation rate", "awards_per_state_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, state and sector average", "awards_per_natl_value": "Completions per 100 FTE (full-time equivalent) undergraduate students, national sector average", "exp_award_state_value": "Spending per completion, state and sector average ", "exp_award_natl_value": "Spending per completion, national sector average", "state_appr_value": "State appropriations to higher education in fiscal year 2011 per resident", "state_appr_rank": "", "grad_rate_rank": "", "awards_per_rank": "" }*/
3,759
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question What is the quantity of the closed or not running Yelp Businesses in 'AZ'? Clarification: closed or not running refers to active = 'False'; AZ refers to state = 'AZ';
[query_database(**{'query': 'SELECT COUNT(business_id) FROM Business WHERE state LIKE 'AZ' AND active LIKE 'False''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question What kind of "wi-fi" does Yelp business No."10172" have? Clarification: kind of wi-fi refers to attribute_value where attribute_name = 'Wi-Fi'; business No. refers to business_id;
[query_database(**{'query': 'SELECT T2.attribute_value FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.business_id = 10172 AND T1.attribute_name LIKE 'wi-fi''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,768
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question For the user who gave the most number of long reviews, what is his/her averge ratings of all review? Clarification: long reviews refers to review_length = 'long'; most number of long reviews refers to MAX(COUNT(review_length = 'long')); average ratings = AVG(review_stars);
[query_database(**{'query': 'SELECT CAST(SUM(T1.review_stars) AS REAL) / COUNT(T1.review_stars) FROM Reviews AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id WHERE T1.review_length LIKE 'Long' GROUP BY T1.user_id ORDER BY COUNT(T1.review_length) 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 Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,772
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question User No. 70271 only has given one tip to the Yelp business, which category was that business belonged to? Clarification: user No. refers to user_id; short tip refers to tip_length = 'short'; category refers to category_name;
[query_database(**{'query': 'SELECT T4.category_name FROM Tips AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Business_Categories AS T3 ON T2.business_id = T3.business_id INNER JOIN Categories AS T4 ON T3.category_id = T4.category_id WHERE T1.user_id = 70271'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,776
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question Give the number of users who joined Yelp since "2004". Clarification: joined yelp since 2004 refers to user_yelping_since_year = 2004;
[query_database(**{'query': 'SELECT COUNT(user_id) FROM Users WHERE user_yelping_since_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 Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,779
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29312, 198, 1021, 262, 5699, 851, 256, 31481, 198, 286, 22295, 29312, 34421, 198, 310, 6156, 1401, 345, 262, 5699, 1292, 16139, 198, 340, 3364, 16, 3187, 2872, 25, 720, 19638, 353, 4393, 11306, 10592, 220, 16, 26, 4815, 5699, 851, 1393, 5588, 1292, 720, 692, 220, 16, 1393, 220, 10106, 9601, 2355, 6343, 1075, 3330, 17931, 341, 197, 1, 5588, 851, 794, 8488, 197, 1, 5588, 1292, 794, 8555, 69077, 23421, 14700, 1219, 501, 12843, 198, 1021, 262, 32241, 851, 256, 31481, 198, 286, 22295, 1219, 501, 12843, 34421, 198, 310, 6156, 1401, 345, 262, 32241, 1857, 16139, 198, 340, 3364, 16, 3187, 2872, 25, 720, 19638, 353, 4393, 72739, 10592, 220, 16, 26, 4815, 32241, 851, 1393, 884, 501, 3904, 1857, 720, 310, 220, 16, 1393, 260, 7397, 2355, 6343, 1075, 3330, 17931, 341, 197, 1, 884, 501, 3904, 851, 794, 8488, 197, 1, 884, 501, 3904, 1857, 794, 8555, 69077, 23421, 14700, 21882, 198, 1021, 262, 1938, 851, 415, 31481, 198, 286, 22295, 21882, 34421, 198, 310, 6156, 1401, 345, 262, 1938, 3659, 32377, 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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question What is the number of reviews from user No. "21679"? Clarification: user No. refers to user_id;
[query_database(**{'query': 'SELECT COUNT(review_length) FROM Reviews WHERE user_id = 21679'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,783
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question Does Yelp business No."4960" have TV? Clarification: business No. refers to business_id; have TV refers to attribute_name = 'Has TV';
[query_database(**{'query': 'SELECT DISTINCT CASE WHEN T1.attribute_name LIKE 'Has TV' THEN 'yes' ELSE 'no' END FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.business_id = 4960'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,787
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question How many more "Chinese" than "Filipino" Yelp businesses? Clarification: Chinese refers to category_name = 'Chinese'; Filipino refers to category_name = 'Filipino'; how many more = SUBTRACT(SUM(category_name = 'Chinese'), SUM(category_name = 'Filipino'));
[query_database(**{'query': 'SELECT SUM(CASE WHEN T1.category_name LIKE 'Chinese' THEN 1 ELSE 0 END) - SUM(CASE WHEN T1.category_name LIKE 'Filipino' THEN 1 ELSE 0 END) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_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 Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,791
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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 Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question Who has got the most number of "funny" type of compliments? Give the user ID. Clarification: type of compliments refers to compliment_type; most number of funny type of compliments refers to MAX(COUNT(number of compliments = 'high' WHERE compliment_type = 'funny'));
[query_database(**{'query': 'SELECT user_id FROM Users_Compliments WHERE compliment_id IN ( SELECT compliment_id FROM Compliments WHERE compliment_type LIKE 'funny' )'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,795
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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 Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question List the names of business in AZ with a rating of 5. Clarification: AZ refers to state = 'AZ'; rating refers to stars;
[query_database(**{'query': 'SELECT business_id FROM Business WHERE state LIKE 'AZ' AND stars = 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 Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,799
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question How many businesses operating in the shopping business have opening times before 8AM? Clarification: shopping business refers to category_name = 'Shopping'; opening time before 8AM refers to opening_time < '8AM';
[query_database(**{'query': 'SELECT COUNT(T3.business_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Business_Hours AS T4 ON T3.business_id = T4.business_id WHERE T4.opening_time < '8AM' AND T1.category_name LIKE 'Shopping''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,803
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question Please list the businesses name with a rating less than 5 whose category name is men's clothing. Clarification: businesses name refers to business_id; rating refers to stars; stars < 5;
[query_database(**{'query': 'SELECT T2.business_id FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.category_name LIKE 'Men''s Clothing' AND T3.stars < 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 Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,807
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question How many compliments received from medium users that Phoenix city achieved? Clarification: medium refers to number_of_compliments = 'Medium';
[query_database(**{'query': 'SELECT COUNT(T1.number_of_compliments) FROM Users_Compliments AS T1 INNER JOIN Reviews AS T2 ON T1.user_id = T2.user_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T3.city LIKE 'Phoenix' AND T1.number_of_compliments LIKE 'Medium''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,811
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question How many cities have businesses with active life category? Find the percentage of the city where the review count that is low in total review count. Clarification: category refers to category_name; percentage = MULTIPLY(DIVIDE(SUM(category_name = 'Active Life'), SUM(review_count = 'LOW')), 1.0);
[query_database(**{'query': 'SELECT SUM(CASE WHEN T2.category_name LIKE 'Active Life' THEN 1 ELSE 0 END) AS "num" , CAST(SUM(CASE WHEN T3.city LIKE 'Phoenix' THEN 1 ELSE 0 END) AS REAL) * 100 / ( SELECT COUNT(T3.review_count) FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T1.business_id = T3.business_id WHERE T3.review_count LIKE 'Low' ) FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T1.business_id = T3.business_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 Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question Which city has the most businesses whose attribute is full_bar? Clarification: most business refers to MAX(business_id); full_bar refers to attribute_value = 'full_bar';
[query_database(**{'query': 'SELECT T1.city FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id WHERE T2.attribute_value LIKE 'full_bar' GROUP BY T1.city'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,820
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question Which city has the least number of businesses whose amount of funny votes is low? Clarification: least number of businesses refers to MIN(business_id); funny votes is low refers to review_votes_funny = 'Low';
[query_database(**{'query': 'SELECT T1.city FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T2.review_votes_funny LIKE 'low' GROUP BY T1.city'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,824
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question What are the attribute numbers that are related to payment? Clarification: attribute numbers refers to attribute_id; related to payment refers to attribute_name like '%payment%';
[query_database(**{'query': 'SELECT attribute_id FROM Attributes WHERE attribute_name LIKE '%payment%''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,828
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question Please state any three business numbers in AZ state that have received the "Great experience" review stars. Clarification: business numbers refers to business_id; great experience review stars refers to review_stars = 5;
[query_database(**{'query': 'SELECT DISTINCT T2.business_id FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T2.state LIKE 'AZ' AND T1.review_stars = 5 LIMIT 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,832
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question What are the attributes that business number 56 have? Clarification: business number refers to business_id; attributes that business have refers to attribute_value = 'true';
[query_database(**{'query': 'SELECT T1.attribute_name FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.attribute_value LIKE 'TRUE' AND T2.business_id = 56'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,836
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question How many businesses operating in the "Accessories" category have received a "wonderful experience" review from users? Clarification: Accessories category refers to category_name = 'Accessories'; wonderful experience review refers to stars > 3;
[query_database(**{'query': 'SELECT COUNT(T2.business_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T3.stars > 3 AND T1.category_name LIKE 'Accessories''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,841
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question How many Yelp_Businesses in Scottsdale have received positive comments in the Elitestar rating? Clarification: Scottsdale refers to city = 'Scottsdale'; positive comments refers to stars > 3; Elitestar rating refers to stars;
[query_database(**{'query': 'SELECT COUNT(business_id) FROM Business WHERE city LIKE 'Scottsdale' AND stars > 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 Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,845
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question Please list the cities of the Yelp_Businesses that have gotten a 5 in the Elitestar rating. Clarification: 5 in the Elitestar rating refers to stars = 5;
[query_database(**{'query': 'SELECT city FROM Business WHERE stars = 5 GROUP BY city'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,848
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question Among the long reviews made by user ID 3, how many of them have received a medium number of useful votes? Clarification: long reviews refers to review_length = 'Long'; medium number of useful votes refers to review_votes_useful = 'medium';
[query_database(**{'query': 'SELECT COUNT(review_length) FROM Reviews WHERE user_id = 3 AND review_length LIKE 'Long' AND review_votes_useful LIKE 'Medium''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,853
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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 Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question Please list the business IDs of all the Yelp_Businesses that are good for kids. Clarification: good for kids refers to attribute_name = 'Good for Kids' and attribute_value = 'true'
[query_database(**{'query': 'SELECT T2.business_id FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T1.attribute_name LIKE 'Good for Kids' AND T2.attribute_value LIKE 'TRUE''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,856
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question Among the Yelp_Businesses which are still running, how many of them fall under the category of "Food"? Clarification: are still running refers to active = 'true'; the category of "Food" refers to category_name = 'Food'
[query_database(**{'query': 'SELECT COUNT(T3.business_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Tips AS T4 ON T3.business_id = T4.business_id WHERE T1.category_name LIKE 'Food' AND T3.active LIKE 'TRUE''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,860
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question How many Yelp_Business in Arizona has user no. 3 reviewed? Clarification: in Arizona refers to state = 'AZ'; user no. 3 refers to user_id = 3
[query_database(**{'query': 'SELECT COUNT(T2.business_id) FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T2.state LIKE 'AZ' AND T1.user_id = 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 Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,864
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question How many Yelp_Business close after 8PM on Mondays? Clarification: close after 8PM refers to closing_time = '9PM' or closing_time = '10PM' closing_time = '11PM' closing_time = '12PM'; Mondays refers to day_of_week = 'Monday'
[query_database(**{'query': 'SELECT COUNT(T1.business_id) FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id WHERE T2.day_of_week LIKE 'Monday' AND T1.closing_time > '8PM''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,868
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question How many "Good for Kids" Yelp_Businesses are open everyday of the week? Clarification: Good for Kids refers to attribute_name = 'Good for Kids'and attribute_value = 'true'; open everyday refers to day_id between 1 and 7
[query_database(**{'query': 'SELECT COUNT(T1.business_id) FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id INNER JOIN Business_Attributes AS T3 ON T1.business_id = T3.business_id INNER JOIN Attributes AS T4 ON T4.attribute_id = T4.attribute_id WHERE T2.day_id IN (1, 2, 3, 4, 5, 6, 7) AND T4.attribute_name = 'Good for Kids' AND T3.attribute_value = 'true''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,873
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question Among the users who have posted more than 10 reviews, how many users are elite users? Clarification: posted more than 10 reviews refers to count(Reviews.user_id) > 10
[query_database(**{'query': 'SELECT COUNT(T4.user_id) FROM ( SELECT T1.user_id FROM Users AS T1 INNER JOIN Elite AS T2 ON T1.user_id = T2.user_id INNER JOIN Reviews AS T3 ON T1.user_id = T3.user_id WHERE T3.user_id IS NOT NULL GROUP BY T3.user_id HAVING COUNT(T3.user_id) > 10 ) T4'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question How many stars on average does user no.3 give to Yelp_Business in Arizona? Clarification: user no.3 refers to user_id = 3; in Arizona refers to state = 'AZ'; stars on average = avg(review_stars(user_id = 3))
[query_database(**{'query': 'SELECT AVG(T2.review_stars) FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.state LIKE 'AZ' AND T2.user_id = 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 Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,880
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question What is the total number of active businesses in AZ with a low review count? Clarification: active businesses refers to active = 'true'; in AZ refers to state = 'AZ'
[query_database(**{'query': 'SELECT COUNT(business_id) FROM Business WHERE state LIKE 'AZ' AND active LIKE 'True' AND review_count LIKE 'low''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,883
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question What is the review length of user 35026 to business with business ID 2? Clarification: user 35026 refers to user_id = 35026
[query_database(**{'query': 'SELECT review_length FROM Reviews WHERE user_id = 35026 AND business_id = 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 Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,887
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question What is the category of businesses with highest star rating? Clarification: category refers to category_name; highest star rating refers to max(stars)
[query_database(**{'query': 'SELECT T3.category_name FROM Business AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id ORDER BY T1.stars 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 Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,890
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question What is the closing and opening time of businesses located at Tempe with highest star rating? Clarification: located at Tempe refers to city = 'Tempe'; highest star rating refers to max(stars)
[query_database(**{'query': 'SELECT T2.closing_time, T2.opening_time FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id WHERE T1.city LIKE 'Tempe' ORDER BY T1.stars 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 Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,894
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question What is the attribute value of an active business with a high review count and 3 stars which is located at Mesa, AZ? Clarification: active business refers to active = 'true'; located at Mesa, AZ refers to city = 'Mesa', state = 'AZ'
[query_database(**{'query': 'SELECT T2.attribute_value FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id INNER JOIN Attributes AS T3 ON T2.attribute_id = T3.attribute_id WHERE T1.state LIKE 'AZ' AND T1.review_count LIKE 'High' AND T1.active LIKE 'TRUE' AND T1.city LIKE 'Mesa' AND T1.stars = 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 Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,898
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question How many active businesses are located at Phoenix, Arizona? Clarification: active business refers to active = 'true'; 'Phoenix' is the city
[query_database(**{'query': 'SELECT COUNT(business_id) FROM Business WHERE city LIKE 'Phoenix' AND active LIKE 'True''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,902
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question How many users received high compliment type in photo? Clarification: high compliments refers to number_of_compliments = 'High'; type in photo refers to compliment_ID = 1
[query_database(**{'query': 'SELECT COUNT(T1.user_id) FROM Users_Compliments AS T1 INNER JOIN Compliments AS T2 ON T1.compliment_id = T2.compliment_id WHERE T1.number_of_compliments LIKE 'High' AND T2.compliment_id = 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 Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,906
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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 Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question List out which business category that are most likely to have average good review in Arizona? Clarification: average good review refers to review_count > = 3; Arizona refers to state = 'AZ'; business category refers to category_name
[query_database(**{'query': 'SELECT DISTINCT T4.category_name FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Business_Categories AS T3 ON T2.business_id = T3.business_id INNER JOIN Categories AS T4 ON T3.category_id = T4.category_id WHERE T2.state LIKE 'AZ' AND T1.review_stars >= 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 Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,910
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question What is the yearly average review done by user ID 3? Clarification: yearly average review = Divide( Count(business_id), Subtract('%Y'(CURRENT_TIME), user_yelping_since_year))
[query_database(**{'query': 'SELECT COUNT(review_stars) / (strftime('%Y', 'now') - T1.user_yelping_since_year) FROM Users AS T1 INNER JOIN Reviews AS T2 ON T1.user_id = T2.user_id WHERE T1.user_id = 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 Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,915
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question How many of the businesses are active? Clarification: active refers to active = 'true'
[query_database(**{'query': 'SELECT COUNT(business_id) FROM Business WHERE active LIKE 'True''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,920
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29312, 198, 1021, 262, 5699, 851, 256, 31481, 198, 286, 22295, 29312, 34421, 198, 310, 6156, 1401, 345, 262, 5699, 1292, 16139, 198, 340, 3364, 16, 3187, 2872, 25, 720, 19638, 353, 4393, 11306, 10592, 220, 16, 26, 4815, 5699, 851, 1393, 5588, 1292, 720, 692, 220, 16, 1393, 220, 10106, 9601, 2355, 6343, 1075, 3330, 17931, 341, 197, 1, 5588, 851, 794, 8488, 197, 1, 5588, 1292, 794, 8555, 69077, 23421, 14700, 1219, 501, 12843, 198, 1021, 262, 32241, 851, 256, 31481, 198, 286, 22295, 1219, 501, 12843, 34421, 198, 310, 6156, 1401, 345, 262, 32241, 1857, 16139, 198, 340, 3364, 16, 3187, 2872, 25, 720, 19638, 353, 4393, 72739, 10592, 220, 16, 26, 4815, 32241, 851, 1393, 884, 501, 3904, 1857, 720, 310, 220, 16, 1393, 260, 7397, 2355, 6343, 1075, 3330, 17931, 341, 197, 1, 884, 501, 3904, 851, 794, 8488, 197, 1, 884, 501, 3904, 1857, 794, 8555, 69077, 23421, 14700, 21882, 198, 1021, 262, 1938, 851, 415, 31481, 198, 286, 22295, 21882, 34421, 198, 310, 6156, 1401, 345, 262, 1938, 3659, 32377, 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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question What is the review length of user 60776 to business with business ID 1? Clarification: "60776" is the user_id
[query_database(**{'query': 'SELECT review_length FROM Reviews WHERE user_id = 60776 AND business_id = 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 Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,923
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question List the active business ID and its stars of the businesses fall under the category of Pets. Clarification: active business refers to active = 'true'; 'Pets' is the category_name
[query_database(**{'query': 'SELECT T1.business_id, T1.stars FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id WHERE T1.active LIKE 'TRUE' AND T3.category_name LIKE 'Pets''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,927
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question What is the closing and opening time of businesses located at Gilbert with highest star rating? Clarification: "Gilbert" is the name of city; highest star rating refers to Max(stars)
[query_database(**{'query': 'SELECT T2.closing_time, T2.opening_time FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id WHERE T1.city LIKE 'Gilbert' ORDER BY T1.stars 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 Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,931
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question What is the attribute value of an inactive business with a medium review count and 3.5 stars which is located at Phoenix, AZ? Clarification: inactive business refers to active = 'FALSE'; 'AZ' is the state; 'Phoenix' is the name of city; medium review count refers to review_count = 'Medium'; 3.5 stars refers to stars = 3.5
[query_database(**{'query': 'SELECT T2.attribute_value FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id INNER JOIN Attributes AS T3 ON T2.attribute_id = T3.attribute_id WHERE T1.state LIKE 'AZ' AND T1.review_count LIKE 'Medium' AND T1.active LIKE 'FALSE' AND T1.city LIKE 'Phoenix' AND T1.stars = 3.5'})]
### 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 Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,935
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question How many users have no followers in 2014? Clarification: in 2004 refers to user_yelping_since_year = 2004; no follower refers to user_fans = 'None'
[query_database(**{'query': 'SELECT COUNT(user_id) FROM Users WHERE user_yelping_since_year = 2004 AND user_fans LIKE 'None''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question How many businesses are opened for 24 hours? Clarification: opened for 24 hours refers to attribute_name = 'Open 24 Hours' AND attribute_value = 'true'
[query_database(**{'query': 'SELECT COUNT(T2.business_id) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.attribute_value LIKE 'TRUE' AND T1.attribute_name LIKE 'Open 24 Hours''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,943
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question List the category of the business with high review count but received 2 stars. Clarification: high review count refers to review_count = 'High'; received 2 stars refers to stars = 2; category refers to category_name
[query_database(**{'query': 'SELECT T3.category_name FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id WHERE T1.stars = 2 AND T1.review_count LIKE 'High''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,947
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question What city does the business came from where they received a high volume of check-ins from 12 am to 1 am on Saturday. Clarification: 12 am refers to opening_time = '12AM'; 1 am refers to closing_time = '1AM'; on Saturday refers to day_of_week = 'Saturday'
[query_database(**{'query': 'SELECT T1.city FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T2.closing_time = '1AM' AND T2.opening_time = '12AM' AND T3.day_of_week = 'Saturday''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,952
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question State the ID number for the attribute named "Accepts Insurance"? Clarification: ID number refers to attribute_id
[query_database(**{'query': 'SELECT attribute_id FROM Attributes WHERE attribute_name = 'Accepts Insurance''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,955
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question Provide the number of Yelp businesses in "Gilbert" which got a" high" review count. Clarification: "Gilbert" is the name of city; high review count refers to review_count = 'High'
[query_database(**{'query': 'SELECT COUNT(business_id) FROM Business WHERE review_count = 'High' AND city = 'Gilbert''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,959
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question Is the Yelp business No. 14033 good for supper? Clarification: business no. 14033 refers to business_id = 14033; good for supper refers to attribute_name = 'good_for_dinner'
[query_database(**{'query': 'SELECT T1.attribute_value FROM Business_Attributes AS T1 INNER JOIN Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.attribute_name = 'good_for_dinner' AND T1.business_id = 14033'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,963
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question For the user who joined Yelp in "2010", with an average of "4.5" stars review and has got uber number of fans, how many "funny" compliments has he/she received from other users? Clarification: in "2010" refers to user_yelping_since_year = '2010'; average of "4.5" stars review refers to user_average_stars = '4.5'; uber number of fans refers to user_average_stars = '4.5'; "funny" compliments refers to compliment_type = 'funny'
[query_database(**{'query': 'SELECT COUNT(T2.user_id) FROM Users AS T1 INNER JOIN Users_Compliments AS T2 ON T1.user_id = T2.user_id INNER JOIN Compliments AS T3 ON T2.compliment_id = T3.compliment_id WHERE T1.user_yelping_since_year = 2010 AND T1.user_average_stars = 4.5 AND T1.user_fans = 'Uber' AND T3.compliment_type = 'funny''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,967
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question What is the percentage for the Yelp businesses in "Pets" category of all businesses? Clarification: businesses in "Pets" category refers to category_name = 'Pets'; percentage refers to DIVIDE(COUNT(category_name = 'Pets'), COUNT(business_id)) * 100%
[query_database(**{'query': 'SELECT CAST(SUM(CASE WHEN T2.category_name = 'Pets' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.category_name) FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_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 Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,971
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question Among all attribute names, list down the ID and attribute name which start with "music". Clarification: attribute name which start with "music" refers to attribute_name LIKE 'music%'
[query_database(**{'query': 'SELECT attribute_id, attribute_name FROM Attributes WHERE attribute_name LIKE 'music%''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,975
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question Write the user ID, business ID and tips length of who started using Yelp since 2004 and had high followers. Clarification: started using Yelp since 2004 refers to user_yelping_since_year = '2004'; had high followers refers to user_fans = 'High'
[query_database(**{'query': 'SELECT T1.user_id, T2.business_id, T2.tip_length FROM Users AS T1 INNER JOIN Tips AS T2 ON T1.user_id = T2.user_id WHERE T1.user_yelping_since_year = 2004 AND T1.user_fans = 'High''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question Among the stopped businesses in San Tan Valley city, list down the user ID and review length of who had great experience. Clarification: stop businesses refers to active = 'false'; great experience refers to review_stars = 5
[query_database(**{'query': 'SELECT T2.user_id, T2.review_length FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'San Tan Valley' AND T1.active = 'false' AND T2.review_stars = 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 Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,983
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question For the business with great experience existed in Sun Lakes city, provide the user ID who gave review on it and user followers. Clarification: with great experience refers to stars = 5
[query_database(**{'query': 'SELECT T3.user_id, T3.user_fans FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id INNER JOIN Users AS T3 ON T2.user_id = T3.user_id WHERE T1.city = 'Sun Lakes' AND T1.stars = 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 Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,990
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question Find the percentage of 5 stars rated business. Clarification: percentage refers to DIVIDE(COUNT(stars = 5), COUNT(business_id)) * 100%
[query_database(**{'query': 'SELECT CAST(SUM(CASE WHEN stars = 5 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(stars) FROM Business'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,994
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question List the business ID of shopping business that have 4 stars ratings. Clarification: shopping business refers to category_name = 'Shopping'; 4 stars ratings refers to stars = 4
[query_database(**{'query': 'SELECT T1.business_id FROM Business AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T3.category_name = 'Shopping' AND T1.stars = 4'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
3,998
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question How many photos type compliment given from users with high cool votes? Clarification: photos type compliment refers to compliment_type = 'photos'; high cool votes refers to review_votes_cool = 'High'
[query_database(**{'query': 'SELECT COUNT(T1.user_id) FROM Users AS T1 INNER JOIN Users_Compliments AS T2 ON T1.user_id = T2.user_id INNER JOIN Compliments AS T3 ON T2.compliment_id = T3.compliment_id INNER JOIN Reviews AS T4 ON T1.user_id = T4.user_id WHERE T3.compliment_type = 'photos' AND T4.review_votes_cool = 'High''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
4,002
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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 Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question What is the ratio between business in shopping category and business in pets category? Clarification: ratio = divide(count(business_id where category_name = 'Shopping'), count(business_id where category_name = 'Pets'))
[query_database(**{'query': 'SELECT CAST(SUM(CASE WHEN T2.category_name = 'Shopping' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN T2.category_name = 'Pets' THEN 1 ELSE 0 END) AS radio FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_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 Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
4,005
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question What time does the business with ID no.12 open on Monday? Clarification: open time refers to opening_time; on Monday refers to day_of_week = 'Monday'; business with ID no. refers to business_id
[query_database(**{'query': 'SELECT T1.opening_time FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id WHERE T1.business_id = 12 AND T2.day_of_week = 'Monday''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
4,009
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question Among all closed businesses in Avondale, AZ what percent have obtained a 'wonderful experience' rating of the business. Clarification: closed business refers to active = 'false'; in Avondale refers to city = 'Avondale'; 'wonderful experience' rating refers to stars > 3; percentage = divide(count(business_id where stars > 3), count(business_id))*100%
[query_database(**{'query': 'SELECT CAST(SUM(CASE WHEN stars > 3 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(stars) FROM Business WHERE city = 'Avondale' AND active = 'false''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question How many short tips were left for the business with ID no.2? Clarification: short tip refers to tip_length = 'Short'; business category refers to category_name
[query_database(**{'query': 'SELECT COUNT(business_id) FROM Tips WHERE business_id = 2 AND tip_length = 'Short''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
4,017
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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 Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question Mention the number of businesses that have no any attribute. Clarification: have no attribute refers to attribute_value in( 'none', 'no', 'false')
[query_database(**{'query': 'SELECT COUNT(business_id) FROM Business_Attributes WHERE attribute_value IN ('none', 'no', 'false')'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
4,021
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question Among the businesses which have short length of review, which one located in Phoenix? Clarification: short length of review refers to review_length = 'Short'; in Phoenix refers to city = 'Phoenix'
[query_database(**{'query': 'SELECT DISTINCT T1.business_id FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'Phoenix' AND T2.review_length = 'Short''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
4,025
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question Among the businesses with average rating, how many business has attribute of full_bar. Clarification: average rating refers to avg(stars); attribute of full_bar refers to attribute_value = 'full_bar'
[query_database(**{'query': 'SELECT COUNT(T1.business_id) FROM Business_Attributes AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T1.attribute_value = 'full_bar''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/