Datasets:
truongpdd
/
BIRD_for_augment_sql2question

Dataset card Viewer Files Community
1
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int64
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE state ( StateCode TEXT constraint state_pk primary key, State TEXT, Region TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; StateCode || State ||Region AL ||Alabama || South */ /* column definitions { "StateCode": "", "State": "", "Region": "" }*/ CREATE TABLE callcenterlogs ( "Date received" DATE, "Complaint ID" TEXT, "rand client" TEXT, phonefinal TEXT, "vru+line" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, primary key ("Complaint ID"), foreign key ("rand client") references client(client_id) ) /* 1 example row: SELECT * FROM callcenterlogs LIMIT 1; Date received ||Complaint ID ||rand client || phonefinal ||vru+line ||call_id ||priority ||type ||outcome ||server ||ser_start ||ser_exit ||ser_time 2017-03-27 || CR2406263 || C00004587 ||977-806-9726 || AA0103 || 34536 || 0 || NW || AGENT ||MICHAL || 13:34:11 ||13:40:23 ||00:06:12 */ /* column definitions { "Date received": "complaint date", "Complaint ID": "unique id number representing each complaint", "rand client": "client id", "phonefinal": "final phone number", "vru+line": "voice response unit line", "call_id": "id number identifying the call", "priority": "priority of the complaint", "type": "type of complaint", "outcome": "the outcome of processing of complaints", "server": "server", "ser_start": "server start time", "ser_exit": "server exit time", "ser_time": "server time" }*/ CREATE TABLE client ( client_id TEXT primary key, sex TEXT, day INTEGER, month INTEGER, year INTEGER, age INTEGER, social TEXT, first TEXT, middle TEXT, last TEXT, phone TEXT, email TEXT, address_1 TEXT, address_2 TEXT, city TEXT, state TEXT, zipcode INTEGER, district_id INTEGER, foreign key (district_id) references district(district_id) ) /* 1 example row: SELECT * FROM client LIMIT 1; client_id || sex ||day ||month ||year ||age || social ||first ||middle || last || phone || email || address_1 ||address_2 || city ||state ||zipcode ||district_id C00000001 ||Female || 13 || 12 ||1990 || 29 ||926-93-2157 || Emma || Avaya ||Smith ||367-171-6840 ||emma.smith@gmail.com ||387 Wellington Ave. || Unit 1 ||Albuquerque || NM || 47246 || 18 */ /* column definitions { "client_id": "unique id client number", "sex": "sex of client", "day": "day of the birthday", "month": "month of the birthday", "year": "year when is born", "age": "age ", "social": "social number", "first": "first name", "middle": "middle name", "last": "last name", "phone": "phone number", "email": "email", "address_1": "address 1", "address_2": "address 2", "city": "city ", "state": "state code", "zipcode": "zipcode", "district_id": "district id number" }*/ CREATE TABLE district ( district_id INTEGER primary key, city TEXT, state_abbrev TEXT, division TEXT, foreign key (state_abbrev) references state(StateCode) ) /* 1 example row: SELECT * FROM district LIMIT 1; district_id || city ||state_abbrev || division 1 ||New York City || NY ||Middle Atlantic */ /* column definitions { "district_id": "unique id number representing district", "city": "city ", "state_abbrev": "state abbreviated code", "division": "division" }*/ CREATE TABLE events ( "Date received" DATE, Product TEXT, "Sub-product" TEXT, Issue TEXT, "Sub-issue" TEXT, "Consumer complaint narrative" TEXT, Tags TEXT, "Consumer consent provided?" TEXT, "Submitted via" TEXT, "Date sent to company" TEXT, "Company response to consumer" TEXT, "Timely response?" TEXT, "Consumer disputed?" TEXT, "Complaint ID" TEXT, Client_ID TEXT, primary key ("Complaint ID", Client_ID), foreign key ("Complaint ID") references callcenterlogs("Complaint ID"), foreign key (Client_ID) references client(client_id) ) /* 1 example row: SELECT * FROM events LIMIT 1; Date received || Product || Sub-product || Issue ||Sub-issue ||Consumer complaint narrative ||Tags ||Consumer consent provided? ||Submitted via ||Date sent to company ||Company response to consumer ||Timely response? ||Consumer disputed? ||Complaint ID ||Client_ID 2014-07-03 ||Bank account or service ||Checking account ||Deposits and withdrawals || None || None ||None || N/A || Email || 2014-07-09 || Closed with explanation || Yes || No || CR0922485 ||C00001925 */ /* column definitions { "Date received": "Date received", "Product": "complaining about which product ", "Sub-product": "sub product if exists", "Issue": "problems leading to this complaints", "Sub-issue": "sub problems leading to this complaints if exists", "Consumer complaint narrative": "Consumer complaint narrative", "Tags": "tags of client", "Consumer consent provided?": "whether the tags labeled under permission of the clients", "Submitted via": "Submitted via", "Date sent to company": "Date sent to company", "Company response to consumer": "Company response to consumer", "Timely response?": "whether the response of the company is timely", "Consumer disputed?": "whether the consumer dispute about the response from the company.", "Complaint ID": "id number indicating which complaint", "Client_ID": "id number indicating which client" }*/ CREATE TABLE reviews ( "Date" DATE primary key, Stars INTEGER, Reviews TEXT, Product TEXT, district_id INTEGER, foreign key (district_id) references district(district_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; Date ||Stars || Reviews || Product ||district_id 2017-10-04 || 5 ||Great job, Eagle National! Each person was professional and helped us move through our refinance process smoothly. Thank you! ||Eagle National Mortgage || 65 */ /* column definitions { "Date": "", "Stars": "", "Reviews": "", "Product": "", "district_id": "" }*/ ### Question Among the reviews from midwest region, what are the products that received 1 star? Clarification: 1 star refers to Stars = 1
[query_database(**{'query': 'SELECT DISTINCT T3.Product FROM state AS T1 INNER JOIN district AS T2 ON T1.StateCode = T2.state_abbrev INNER JOIN reviews AS T3 ON T2.district_id = T3.district_id WHERE T1.Region = 'Midwest' AND T3.Stars = 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 state ( StateCode TEXT constraint state_pk primary key, State TEXT, Region TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; StateCode || State ||Region AL ||Alabama || South */ /* column definitions { "StateCode": "", "State": "", "Region": "" }*/ CREATE TABLE callcenterlogs ( "Date received" DATE, "Complaint ID" TEXT, "rand client" TEXT, phonefinal TEXT, "vru+line" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, primary key ("Complaint ID"), foreign key ("rand client") references client(client_id) ) /* 1 example row: SELECT * FROM callcenterlogs LIMIT 1; Date received ||Complaint ID ||rand client || phonefinal ||vru+line ||call_id ||priority ||type ||outcome ||server ||ser_start ||ser_exit ||ser_time 2017-03-27 || CR2406263 || C00004587 ||977-806-9726 || AA0103 || 34536 || 0 || NW || AGENT ||MICHAL || 13:34:11 ||13:40:23 ||00:06:12 */ /* column definitions { "Date received": "complaint date", "Complaint ID": "unique id number representing each complaint", "rand client": "client id", "phonefinal": "final phone number", "vru+line": "voice response unit line", "call_id": "id number identifying the call", "priority": "priority of the complaint", "type": "type of complaint", "outcome": "the outcome of processing of complaints", "server": "server", "ser_start": "server start time", "ser_exit": "server exit time", "ser_time": "server time" }*/ CREATE TABLE client ( client_id TEXT primary key, sex TEXT, day INTEGER, month INTEGER, year INTEGER, age INTEGER, social TEXT, first TEXT, middle TEXT, last TEXT, phone TEXT, email TEXT, address_1 TEXT, address_2 TEXT, city TEXT, state TEXT, zipcode INTEGER, district_id INTEGER, foreign key (district_id) references district(district_id) ) /* 1 example row: SELECT * FROM client LIMIT 1; client_id || sex ||day ||month ||year ||age || social ||first ||middle || last || phone || email || address_1 ||address_2 || city ||state ||zipcode ||district_id C00000001 ||Female || 13 || 12 ||1990 || 29 ||926-93-2157 || Emma || Avaya ||Smith ||367-171-6840 ||emma.smith@gmail.com ||387 Wellington Ave. || Unit 1 ||Albuquerque || NM || 47246 || 18 */ /* column definitions { "client_id": "unique id client number", "sex": "sex of client", "day": "day of the birthday", "month": "month of the birthday", "year": "year when is born", "age": "age ", "social": "social number", "first": "first name", "middle": "middle name", "last": "last name", "phone": "phone number", "email": "email", "address_1": "address 1", "address_2": "address 2", "city": "city ", "state": "state code", "zipcode": "zipcode", "district_id": "district id number" }*/ CREATE TABLE district ( district_id INTEGER primary key, city TEXT, state_abbrev TEXT, division TEXT, foreign key (state_abbrev) references state(StateCode) ) /* 1 example row: SELECT * FROM district LIMIT 1; district_id || city ||state_abbrev || division 1 ||New York City || NY ||Middle Atlantic */ /* column definitions { "district_id": "unique id number representing district", "city": "city ", "state_abbrev": "state abbreviated code", "division": "division" }*/ CREATE TABLE events ( "Date received" DATE, Product TEXT, "Sub-product" TEXT, Issue TEXT, "Sub-issue" TEXT, "Consumer complaint narrative" TEXT, Tags TEXT, "Consumer consent provided?" TEXT, "Submitted via" TEXT, "Date sent to company" TEXT, "Company response to consumer" TEXT, "Timely response?" TEXT, "Consumer disputed?" TEXT, "Complaint ID" TEXT, Client_ID TEXT, primary key ("Complaint ID", Client_ID), foreign key ("Complaint ID") references callcenterlogs("Complaint ID"), foreign key (Client_ID) references client(client_id) ) /* 1 example row: SELECT * FROM events LIMIT 1; Date received || Product || Sub-product || Issue ||Sub-issue ||Consumer complaint narrative ||Tags ||Consumer consent provided? ||Submitted via ||Date sent to company ||Company response to consumer ||Timely response? ||Consumer disputed? ||Complaint ID ||Client_ID 2014-07-03 ||Bank account or service ||Checking account ||Deposits and withdrawals || None || None ||None || N/A || Email || 2014-07-09 || Closed with explanation || Yes || No || CR0922485 ||C00001925 */ /* column definitions { "Date received": "Date received", "Product": "complaining about which product ", "Sub-product": "sub product if exists", "Issue": "problems leading to this complaints", "Sub-issue": "sub problems leading to this complaints if exists", "Consumer complaint narrative": "Consumer complaint narrative", "Tags": "tags of client", "Consumer consent provided?": "whether the tags labeled under permission of the clients", "Submitted via": "Submitted via", "Date sent to company": "Date sent to company", "Company response to consumer": "Company response to consumer", "Timely response?": "whether the response of the company is timely", "Consumer disputed?": "whether the consumer dispute about the response from the company.", "Complaint ID": "id number indicating which complaint", "Client_ID": "id number indicating which client" }*/ CREATE TABLE reviews ( "Date" DATE primary key, Stars INTEGER, Reviews TEXT, Product TEXT, district_id INTEGER, foreign key (district_id) references district(district_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; Date ||Stars || Reviews || Product ||district_id 2017-10-04 || 5 ||Great job, Eagle National! Each person was professional and helped us move through our refinance process smoothly. Thank you! ||Eagle National Mortgage || 65 */ /* column definitions { "Date": "", "Stars": "", "Reviews": "", "Product": "", "district_id": "" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE state ( StateCode TEXT constraint state_pk primary key, State TEXT, Region TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; StateCode || State ||Region AL ||Alabama || South */ /* column definitions { "StateCode": "", "State": "", "Region": "" }*/ CREATE TABLE callcenterlogs ( "Date received" DATE, "Complaint ID" TEXT, "rand client" TEXT, phonefinal TEXT, "vru+line" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, primary key ("Complaint ID"), foreign key ("rand client") references client(client_id) ) /* 1 example row: SELECT * FROM callcenterlogs LIMIT 1; Date received ||Complaint ID ||rand client || phonefinal ||vru+line ||call_id ||priority ||type ||outcome ||server ||ser_start ||ser_exit ||ser_time 2017-03-27 || CR2406263 || C00004587 ||977-806-9726 || AA0103 || 34536 || 0 || NW || AGENT ||MICHAL || 13:34:11 ||13:40:23 ||00:06:12 */ /* column definitions { "Date received": "complaint date", "Complaint ID": "unique id number representing each complaint", "rand client": "client id", "phonefinal": "final phone number", "vru+line": "voice response unit line", "call_id": "id number identifying the call", "priority": "priority of the complaint", "type": "type of complaint", "outcome": "the outcome of processing of complaints", "server": "server", "ser_start": "server start time", "ser_exit": "server exit time", "ser_time": "server time" }*/ CREATE TABLE client ( client_id TEXT primary key, sex TEXT, day INTEGER, month INTEGER, year INTEGER, age INTEGER, social TEXT, first TEXT, middle TEXT, last TEXT, phone TEXT, email TEXT, address_1 TEXT, address_2 TEXT, city TEXT, state TEXT, zipcode INTEGER, district_id INTEGER, foreign key (district_id) references district(district_id) ) /* 1 example row: SELECT * FROM client LIMIT 1; client_id || sex ||day ||month ||year ||age || social ||first ||middle || last || phone || email || address_1 ||address_2 || city ||state ||zipcode ||district_id C00000001 ||Female || 13 || 12 ||1990 || 29 ||926-93-2157 || Emma || Avaya ||Smith ||367-171-6840 ||emma.smith@gmail.com ||387 Wellington Ave. || Unit 1 ||Albuquerque || NM || 47246 || 18 */ /* column definitions { "client_id": "unique id client number", "sex": "sex of client", "day": "day of the birthday", "month": "month of the birthday", "year": "year when is born", "age": "age ", "social": "social number", "first": "first name", "middle": "middle name", "last": "last name", "phone": "phone number", "email": "email", "address_1": "address 1", "address_2": "address 2", "city": "city ", "state": "state code", "zipcode": "zipcode", "district_id": "district id number" }*/ CREATE TABLE district ( district_id INTEGER primary key, city TEXT, state_abbrev TEXT, division TEXT, foreign key (state_abbrev) references state(StateCode) ) /* 1 example row: SELECT * FROM district LIMIT 1; district_id || city ||state_abbrev || division 1 ||New York City || NY ||Middle Atlantic */ /* column definitions { "district_id": "unique id number representing district", "city": "city ", "state_abbrev": "state abbreviated code", "division": "division" }*/ CREATE TABLE events ( "Date received" DATE, Product TEXT, "Sub-product" TEXT, Issue TEXT, "Sub-issue" TEXT, "Consumer complaint narrative" TEXT, Tags TEXT, "Consumer consent provided?" TEXT, "Submitted via" TEXT, "Date sent to company" TEXT, "Company response to consumer" TEXT, "Timely response?" TEXT, "Consumer disputed?" TEXT, "Complaint ID" TEXT, Client_ID TEXT, primary key ("Complaint ID", Client_ID), foreign key ("Complaint ID") references callcenterlogs("Complaint ID"), foreign key (Client_ID) references client(client_id) ) /* 1 example row: SELECT * FROM events LIMIT 1; Date received || Product || Sub-product || Issue ||Sub-issue ||Consumer complaint narrative ||Tags ||Consumer consent provided? ||Submitted via ||Date sent to company ||Company response to consumer ||Timely response? ||Consumer disputed? ||Complaint ID ||Client_ID 2014-07-03 ||Bank account or service ||Checking account ||Deposits and withdrawals || None || None ||None || N/A || Email || 2014-07-09 || Closed with explanation || Yes || No || CR0922485 ||C00001925 */ /* column definitions { "Date received": "Date received", "Product": "complaining about which product ", "Sub-product": "sub product if exists", "Issue": "problems leading to this complaints", "Sub-issue": "sub problems leading to this complaints if exists", "Consumer complaint narrative": "Consumer complaint narrative", "Tags": "tags of client", "Consumer consent provided?": "whether the tags labeled under permission of the clients", "Submitted via": "Submitted via", "Date sent to company": "Date sent to company", "Company response to consumer": "Company response to consumer", "Timely response?": "whether the response of the company is timely", "Consumer disputed?": "whether the consumer dispute about the response from the company.", "Complaint ID": "id number indicating which complaint", "Client_ID": "id number indicating which client" }*/ CREATE TABLE reviews ( "Date" DATE primary key, Stars INTEGER, Reviews TEXT, Product TEXT, district_id INTEGER, foreign key (district_id) references district(district_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; Date ||Stars || Reviews || Product ||district_id 2017-10-04 || 5 ||Great job, Eagle National! Each person was professional and helped us move through our refinance process smoothly. Thank you! ||Eagle National Mortgage || 65 */ /* column definitions { "Date": "", "Stars": "", "Reviews": "", "Product": "", "district_id": "" }*/ ### Question In complaints received in 2014, how many of them were submitted via call? Clarification: in 2014 refers to Date received LIKE '2014%'; submitted via call refers to Submitted via = 'Phone'
[query_database(**{'query': 'SELECT COUNT(T2.`Complaint ID`) FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.`Submitted via` = 'Phone' AND strftime('%Y', T1.`Date received`) = '2014''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE state ( StateCode TEXT constraint state_pk primary key, State TEXT, Region TEXT ) /* 1 example row: SELECT * FROM state LIMIT 1; StateCode || State ||Region AL ||Alabama || South */ /* column definitions { "StateCode": "", "State": "", "Region": "" }*/ CREATE TABLE callcenterlogs ( "Date received" DATE, "Complaint ID" TEXT, "rand client" TEXT, phonefinal TEXT, "vru+line" TEXT, call_id INTEGER, priority INTEGER, type TEXT, outcome TEXT, server TEXT, ser_start TEXT, ser_exit TEXT, ser_time TEXT, primary key ("Complaint ID"), foreign key ("rand client") references client(client_id) ) /* 1 example row: SELECT * FROM callcenterlogs LIMIT 1; Date received ||Complaint ID ||rand client || phonefinal ||vru+line ||call_id ||priority ||type ||outcome ||server ||ser_start ||ser_exit ||ser_time 2017-03-27 || CR2406263 || C00004587 ||977-806-9726 || AA0103 || 34536 || 0 || NW || AGENT ||MICHAL || 13:34:11 ||13:40:23 ||00:06:12 */ /* column definitions { "Date received": "complaint date", "Complaint ID": "unique id number representing each complaint", "rand client": "client id", "phonefinal": "final phone number", "vru+line": "voice response unit line", "call_id": "id number identifying the call", "priority": "priority of the complaint", "type": "type of complaint", "outcome": "the outcome of processing of complaints", "server": "server", "ser_start": "server start time", "ser_exit": "server exit time", "ser_time": "server time" }*/ CREATE TABLE client ( client_id TEXT primary key, sex TEXT, day INTEGER, month INTEGER, year INTEGER, age INTEGER, social TEXT, first TEXT, middle TEXT, last TEXT, phone TEXT, email TEXT, address_1 TEXT, address_2 TEXT, city TEXT, state TEXT, zipcode INTEGER, district_id INTEGER, foreign key (district_id) references district(district_id) ) /* 1 example row: SELECT * FROM client LIMIT 1; client_id || sex ||day ||month ||year ||age || social ||first ||middle || last || phone || email || address_1 ||address_2 || city ||state ||zipcode ||district_id C00000001 ||Female || 13 || 12 ||1990 || 29 ||926-93-2157 || Emma || Avaya ||Smith ||367-171-6840 ||emma.smith@gmail.com ||387 Wellington Ave. || Unit 1 ||Albuquerque || NM || 47246 || 18 */ /* column definitions { "client_id": "unique id client number", "sex": "sex of client", "day": "day of the birthday", "month": "month of the birthday", "year": "year when is born", "age": "age ", "social": "social number", "first": "first name", "middle": "middle name", "last": "last name", "phone": "phone number", "email": "email", "address_1": "address 1", "address_2": "address 2", "city": "city ", "state": "state code", "zipcode": "zipcode", "district_id": "district id number" }*/ CREATE TABLE district ( district_id INTEGER primary key, city TEXT, state_abbrev TEXT, division TEXT, foreign key (state_abbrev) references state(StateCode) ) /* 1 example row: SELECT * FROM district LIMIT 1; district_id || city ||state_abbrev || division 1 ||New York City || NY ||Middle Atlantic */ /* column definitions { "district_id": "unique id number representing district", "city": "city ", "state_abbrev": "state abbreviated code", "division": "division" }*/ CREATE TABLE events ( "Date received" DATE, Product TEXT, "Sub-product" TEXT, Issue TEXT, "Sub-issue" TEXT, "Consumer complaint narrative" TEXT, Tags TEXT, "Consumer consent provided?" TEXT, "Submitted via" TEXT, "Date sent to company" TEXT, "Company response to consumer" TEXT, "Timely response?" TEXT, "Consumer disputed?" TEXT, "Complaint ID" TEXT, Client_ID TEXT, primary key ("Complaint ID", Client_ID), foreign key ("Complaint ID") references callcenterlogs("Complaint ID"), foreign key (Client_ID) references client(client_id) ) /* 1 example row: SELECT * FROM events LIMIT 1; Date received || Product || Sub-product || Issue ||Sub-issue ||Consumer complaint narrative ||Tags ||Consumer consent provided? ||Submitted via ||Date sent to company ||Company response to consumer ||Timely response? ||Consumer disputed? ||Complaint ID ||Client_ID 2014-07-03 ||Bank account or service ||Checking account ||Deposits and withdrawals || None || None ||None || N/A || Email || 2014-07-09 || Closed with explanation || Yes || No || CR0922485 ||C00001925 */ /* column definitions { "Date received": "Date received", "Product": "complaining about which product ", "Sub-product": "sub product if exists", "Issue": "problems leading to this complaints", "Sub-issue": "sub problems leading to this complaints if exists", "Consumer complaint narrative": "Consumer complaint narrative", "Tags": "tags of client", "Consumer consent provided?": "whether the tags labeled under permission of the clients", "Submitted via": "Submitted via", "Date sent to company": "Date sent to company", "Company response to consumer": "Company response to consumer", "Timely response?": "whether the response of the company is timely", "Consumer disputed?": "whether the consumer dispute about the response from the company.", "Complaint ID": "id number indicating which complaint", "Client_ID": "id number indicating which client" }*/ CREATE TABLE reviews ( "Date" DATE primary key, Stars INTEGER, Reviews TEXT, Product TEXT, district_id INTEGER, foreign key (district_id) references district(district_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; Date ||Stars || Reviews || Product ||district_id 2017-10-04 || 5 ||Great job, Eagle National! Each person was professional and helped us move through our refinance process smoothly. Thank you! ||Eagle National Mortgage || 65 */ /* column definitions { "Date": "", "Stars": "", "Reviews": "", "Product": "", "district_id": "" }*/
409
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question How many production companies does the movie "Four Rooms" have? Clarification: movie "Four Rooms" refers to title = 'Four Rooms'
[query_database(**{'query': 'SELECT COUNT(CNAME) FROM ( SELECT T1.company_name AS CNAME FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T3.title = 'Four Rooms' )'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
413
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question What was the job of Dariusz Wolski in the movie "Pirates of the Caribbean: At World's End"? Clarification: movie "Pirates of the Caribbean: At World's End" refers to title = 'Pirates of the Caribbean: At World''s End'
[query_database(**{'query': 'SELECT T2.job FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title LIKE 'Pirates of the Caribbean: At World%s End' AND T3.person_name = 'Dariusz Wolski''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question Please list the names of all the producers in the movie "Pirates of the Caribbean: At World's End". Clarification: names refers to person_name; producers refers to job = 'Producer'; "Pirates of the Caribbean: At World's End" refers to title = 'Pirates of the Caribbean: At World''s End'
[query_database(**{'query': 'SELECT T3.person_name FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title LIKE 'Pirates of the Caribbean: At World%s End' AND T2.job = 'Producer''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
420
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question Among the movie in which Dariusz Wolski works as the director of photography, what is the percentage of those movie whose vote average is over 5.0? Clarification: director of photography refers to job = 'Director of Photography'; vote average is over 8.0 refers to vote_average > 5; percentage = divide(sum(movie_id) when vote_average > 5, count(movie_id)) as percentage
[query_database(**{'query': 'SELECT CAST(COUNT(CASE WHEN T1.vote_average > 5 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.vote_average) FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Dariusz Wolski' AND T2.job = 'Director of Photography''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
425
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question Show the total number of keywords of the movie "I Hope They Serve Beer in Hell". Clarification: "I Hope They Serve Beer in Hell" refers to title = 'I Hope They Serve Beer in Hell';
[query_database(**{'query': 'SELECT COUNT(T2.keyword_id) FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id WHERE T1.title = 'I Hope They Serve Beer in Hell''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
429
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question Provide the most used keyword in the movies. Clarification: most used keyword refers to keyword_name where max(count(keyword_name))
[query_database(**{'query': 'SELECT T1.keyword_name FROM keyword AS T1 INNER JOIN movie_keywords AS T2 ON T1.keyword_id = T2.keyword_id GROUP BY T1.keyword_name ORDER BY COUNT(T1.keyword_name) 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 country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
433
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question For all the movies which were produced by Cruel and Unusual Films, which one has the most popularity? Clarification: produced by Cruel and Unusual Films refers to company_name = 'Cruel and Unusual Films'; most popularity refers to max(popularity)
[query_database(**{'query': 'SELECT T3.title FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T1.company_name = 'Cruel and Unusual Films' ORDER BY T3.popularity 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 country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
437
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question What is the title of the movie that was made with the most money and resources? Clarification: made with the most money and resources refers to max(budget)
[query_database(**{'query': 'SELECT title FROM movie ORDER BY budget 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 country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
441
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question Provide the title of the movie that is most-liked by a large number of people. Clarification: most-liked by a large number of people refers to max(popularity)
[query_database(**{'query': 'SELECT title FROM movie ORDER BY popularity 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 country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question What is Walt Disney Pictures' most popular movie? Clarification: Walt Disney Pictures refers to company_name = 'Walt Disney Pictures'; most popular movie refers to max(popularity)
[query_database(**{'query': 'SELECT T3.title FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T1.company_name = 'Walt Disney Pictures' ORDER BY T3.popularity 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 country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
449
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question List the names of the production companies that made at least 200 movies. Clarification: names of the production companies refers to company_name; at least 200 movies refers to COUNT(company_name) > = 200
[query_database(**{'query': 'SELECT T1.company_name FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id GROUP BY T1.company_id HAVING COUNT(T2.movie_id) > 200'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
453
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question What is the title of the first crime movie ever released? Clarification: first crime movie ever released refers to min(release_date) and genre_name = 'Crime'
[query_database(**{'query': 'SELECT T1.title FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id WHERE T3.genre_name = 'Crime' ORDER BY T1.release_date 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 country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
457
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question In Movie No. 19, how many people are there in Department No. 7? Please give me their job. Clarification: Movie No. 19 refers to movie_id = 19; Department No. 7 refers to department_id = 7
[query_database(**{'query': 'SELECT COUNT(DISTINCT job) FROM movie_crew WHERE movie_id = 19 AND department_id = 7'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
461
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question Give the names of the female cast in Movie No. 1865. Clarification: female cast refers to gender = 'Female'; name of cast refers to person_name; Movie No. 1865 refers to movie_id = 1865
[query_database(**{'query': 'SELECT T2.person_name FROM movie_cast AS T1 INNER JOIN person AS T2 ON T1.person_id = T2.person_id INNER JOIN gender AS T3 ON T1.gender_id = T3.gender_id WHERE T1.movie_id = 1865 AND T3.gender = 'Female''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
465
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question Write the titles of horror films with a vote average of more than 7. Clarification: horror films refers to genre_name = 'Horror'; vote average of more than 7 refers to vote_average > 7
[query_database(**{'query': 'SELECT T1.title FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id WHERE T3.genre_name = 'Horror' AND vote_average > 7'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
469
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question List the title of movies in Latin released between 1/01/1990 and 12/31/1995. Clarification: movies in Latin refers to language_name = 'Latin'; released between 1/01/1990 and 12/31/1995 refers to release_date BETWEEN '1990-01-01' AND '1995-12-31'
[query_database(**{'query': 'SELECT T1.title FROM movie AS T1 INNER JOIN movie_languages AS T2 ON T1.movie_id = T2.movie_id INNER JOIN language AS T3 ON T2.language_id = T3.language_id WHERE T3.language_name = 'Latin' AND T1.release_date BETWEEN '1990-01-01' AND '1995-12-31''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
473
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question Which actor plays Optimus Prime? Clarification: Which actor refers to person_name; Optimus Prime refers to character_name = 'Optimus Prime (voice)'
[query_database(**{'query': 'SELECT DISTINCT T1.person_name FROM person AS T1 INNER JOIN movie_cast AS T2 ON T1.person_id = T2.person_id WHERE T2.character_name = 'Optimus Prime (voice)''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
476
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question Which movie did the company 'Radiant Film GmbH' work on? Clarification: Which movie refers to title; company 'Radiant Film GmbH' refers to company_name = 'Radiant Film GmbH'
[query_database(**{'query': 'SELECT T3.title FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T1.company_name = 'Radiant Film GmbH''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
480
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question Which movie has the keyword 'extremis?' Clarification: Which movie refers to title; keyword 'extremis' refers to keyword_name = 'extremis'
[query_database(**{'query': 'SELECT T1.title FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id INNER JOIN keyword AS T3 ON T2.keyword_id = T3.keyword_id WHERE T3.keyword_name = 'extremis''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
484
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question What percentage of movies that came from Japan belong in the 'animation' genre? Clarification: from Japan refers to country_name = 'Japan'; in the 'animation' genre refers to genre_name = 'animation'; percentage = divide(sum(movie_id) when genre_name = 'animation', count(movie_id)) as percentage
[query_database(**{'query': 'SELECT CAST(COUNT(CASE WHEN T4.genre_name = 'Animation' THEN T1.movie_id ELSE NULL END) AS REAL) * 100 / COUNT(T1.movie_id) FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN production_COUNTry AS T3 ON T1.movie_id = T3.movie_id INNER JOIN genre AS T4 ON T2.genre_id = T4.genre_id INNER JOIN COUNTry AS T5 ON T3.COUNTry_id = T5.COUNTry_id WHERE T5.COUNTry_name = 'Japan''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
489
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question Which keywords belong to the movie titles with the highest popularity? Clarification: Which keywords refers to keyword_name; highest popularity refers to max(popularity)
[query_database(**{'query': 'SELECT T3.keyword_name FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id INNER JOIN keyword AS T3 ON T2.keyword_id = T3.keyword_id ORDER BY T1.popularity 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 country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
493
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question What is the genre of the movie title with the lowest revenue generated? Clarification: genre refers to genre_name; lowest revenue refers to min(revenue)
[query_database(**{'query': 'SELECT T3.genre_name FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id ORDER BY T1.revenue 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 country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
496
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question Provide the genre of a movie title with a tagline of "A long time ago in a galaxy far, far away…". Clarification: genre refers to genre_name; tagline of "A long time ago in a galaxy far, far away…" refers to tagline = 'A long time ago in a galaxy far, far away…'
[query_database(**{'query': 'SELECT T3.genre_name FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T3.genre_id = T2.genre_id WHERE T1.tagline = 'A long time ago in a galaxy far, far away...''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
501
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question Find out the popularity of the movies with the highest vote count. Clarification: highest vote count refers to max(vote_count)
[query_database(**{'query': 'SELECT popularity FROM movie ORDER BY vote_COUNT DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
504
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question List down the IDs of the production companies that released the movies in 1916. Clarification: IDs of the production companies refers to company_id; movies in 1916 refers to release_date LIKE '1916%'
[query_database(**{'query': 'SELECT T2.company_id FROM movie AS T1 INNER JOIN movie_company AS T2 ON T1.movie_id = T2.movie_id WHERE CAST(STRFTIME('%Y', T1.release_date) AS INT) = 1916'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
508
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question What is the language ID of the movie "Walk the Line"? Clarification: movie "Walk the Line" refers to title = 'Walk the Line'
[query_database(**{'query': 'SELECT T2.language_id FROM movie AS T1 INNER JOIN movie_languages AS T2 ON T1.movie_id = T2.movie_id WHERE T1.title = 'Walk the Line''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
512
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question List down the tagline of the Polski movies. Clarification: Polski movies refers to language_name = 'Polski'
[query_database(**{'query': 'SELECT DISTINCT T1.tagline FROM movie AS T1 INNER JOIN movie_languages AS T2 ON T1.movie_id = T2.movie_id INNER JOIN language AS T3 ON T2.language_id = T3.language_id WHERE T3.language_name = 'Polski''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
517
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question What is the most common first name? Clarification: most common first name refers to max(count(person_name))
[query_database(**{'query': 'SELECT person_name FROM person GROUP BY person_name ORDER BY COUNT(person_name) 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 country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
521
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question What is the iso code of "Kyrgyz Republic"? Clarification: iso code refers to country_iso_code; "Kyrgyz Republic" refers to country_name = 'Kyrgyz Republic'
[query_database(**{'query': 'SELECT COUNTry_iso_code FROM COUNTry WHERE COUNTry_name = 'Kyrgyz Republic''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
525
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question What is the most common keyword among all the movies released in 2006? Clarification: most common keyword refers to max(count(keyword_name)); movies released in 2006 refers to release_date LIKE '%2006%'
[query_database(**{'query': 'SELECT T3.keyword_name FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id INNER JOIN keyword AS T3 ON T2.keyword_id = T3.keyword_id WHERE T1.release_date LIKE '2006%' GROUP BY T3.keyword_name ORDER BY COUNT(T3.keyword_name) 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 country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
529
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question Provide the average revenue of all the French movies. Clarification: French movies refers to country_name = 'France'; average revenue = AVG(revenue)
[query_database(**{'query': 'SELECT AVG(T1.revenue) FROM movie AS T1 INNER JOIN production_COUNTry AS T2 ON T1.movie_id = T2.movie_id INNER JOIN COUNTry AS T3 ON T2.COUNTry_id = T3.COUNTry_id WHERE T3.COUNTry_name = 'France''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
533
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question What is the title of the movie with the most keywords? Clarification: most keywords refers to max(count(keyword_id))
[query_database(**{'query': 'SELECT T1.title FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id GROUP BY T1.title ORDER BY COUNT(T2.keyword_id) 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 country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
537
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question List the movies released in 1945. Clarification: List the movies refers to title; released in 1945 refers to release_date LIKE '1945%'
[query_database(**{'query': 'SELECT title FROM movie WHERE CAST(STRFTIME('%Y', release_date) AS INT) = 1945'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
540
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question List the movies in the Somali language. Clarification: List the movies refers to title; Somali language refers to language_name = 'Somali'
[query_database(**{'query': 'SELECT T1.title FROM movie AS T1 INNER JOIN movie_languages AS T2 ON T1.movie_id = T2.movie_id INNER JOIN language AS T3 ON T2.language_id = T3.language_id WHERE T3.language_name = 'Somali''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
544
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question Who is the main actor in the "Pirates of the Caribbean: At World's End" movie? Clarification: main actor refers to person_name where Min(cast_order); "Pirates of the Caribbean: At World's End" refers to title = 'Pirates of the Caribbean: At World''s End'
[query_database(**{'query': 'SELECT T3.person_name FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title LIKE 'Pirates of the Caribbean: At World%s End' ORDER BY T2.cast_order 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 country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
549
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question How many movies were produced in Canada? Clarification: produced in Canada refers to country_name = 'Canada'
[query_database(**{'query': 'SELECT COUNT(T2.movie_id) FROM COUNTry AS T1 INNER JOIN production_COUNTry AS T2 ON T1.COUNTry_id = T2.COUNTry_id WHERE T1.COUNTry_name = 'Canada''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
553
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question Which genre does the movie Dancer in the Dark belong to? Clarification: genre refers to genre_name; movie Dancer in the Dark refers to title = 'Dancer in the Dark'
[query_database(**{'query': 'SELECT T3.genre_name FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id WHERE T1.title = 'Dancer in the Dark''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
556
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question What keyword can the user use to search for the movie Finding Nemo? Clarification: What keyword refers to keyword_name; Finding Nemo refers to title = 'Finding Nemo'
[query_database(**{'query': 'SELECT T3.keyword_name FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id INNER JOIN keyword AS T3 ON T2.keyword_id = T3.keyword_id WHERE T1.title = 'Finding Nemo''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
560
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question How many main actors are there in the movie Pirates of the Caribbean: At World's End? Clarification: main actors refers to gender = 'male' and min(cast_order); Pirates of the Caribbean: At World's End refers to title = 'Pirates of the Caribbean: At World''s End'
[query_database(**{'query': 'SELECT COUNT(T2.cast_order) FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN gender AS T3 ON T3.gender_id = T2.gender_id WHERE T3.gender = 'Male' OR T3.gender = 'Female' AND T1.title = 'Pirates of the Caribbean: At World''s End' AND T2.cast_order = ( SELECT MIN(T2.cast_order) FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN gender AS T3 ON T3.gender_id = T2.gender_id WHERE T3.gender = 'Male' OR T3.gender = 'Female' AND T1.title = 'Pirates of the Caribbean: At World''s End' )'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
565
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/ ### Question Calculate the average income made by movies using the keyword "paris". List the title of the movies. Clarification: income refers to revenue; keyword "paris" refers to keyword_name = 'paris'; average income = AVG(revenue)
[query_database(**{'query': 'SELECT AVG(T1.revenue), T1.title FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id INNER JOIN keyword AS T3 ON T2.keyword_id = T3.keyword_id WHERE T3.keyword_name = 'paris''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE country ( country_id INTEGER not null primary key, country_iso_code TEXT default NULL, country_name TEXT default NULL ) /* 1 example row: SELECT * FROM country LIMIT 1; country_id ||country_iso_code || country_name 128 || AE ||United Arab Emirates */ /* column definitions { "country_id": "the unique identifier of the country", "country_iso_code": "the ISO code", "country_name": "the name of the country" }*/ CREATE TABLE department ( department_id INTEGER not null primary key, department_name TEXT default NULL ) /* 1 example row: SELECT * FROM department LIMIT 1; department_id ||department_name 1 || Camera */ /* column definitions { "department_id": "the unique identifier of the department", "department_name": "the name of the department" }*/ CREATE TABLE gender ( gender_id INTEGER not null primary key, gender TEXT default NULL ) /* 1 example row: SELECT * FROM gender LIMIT 1; gender_id || gender 0 ||Unspecified */ /* column definitions { "gender_id": "the unique identifier of the gender", "gender": "the gender" }*/ CREATE TABLE genre ( genre_id INTEGER not null primary key, genre_name TEXT default NULL ) /* 1 example row: SELECT * FROM genre LIMIT 1; genre_id ||genre_name 12 || Adventure */ /* column definitions { "genre_id": "the unique identifier of the genre", "genre_name": "the genre" }*/ CREATE TABLE keyword ( keyword_id INTEGER not null primary key, keyword_name TEXT default NULL ) /* 1 example row: SELECT * FROM keyword LIMIT 1; keyword_id ||keyword_name 30 || individual */ /* column definitions { "keyword_id": "the unique identifier of the keyword", "keyword_name": "the keyword" }*/ CREATE TABLE language ( language_id INTEGER not null primary key, language_code TEXT default NULL, language_name TEXT default NULL ) /* 1 example row: SELECT * FROM language LIMIT 1; language_id ||language_code ||language_name 24574 || en || English */ /* column definitions { "language_id": "the unique identifier of the language", "language_code": "the code of the language", "language_name": "the language name" }*/ CREATE TABLE language_role ( role_id INTEGER not null primary key, language_role TEXT default NULL ) /* 1 example row: SELECT * FROM language_role LIMIT 1; role_id ||language_role 1 || Original */ /* column definitions { "role_id": "the unique identifier of the language id", "language_role": "the language role" }*/ CREATE TABLE movie ( movie_id INTEGER not null primary key, title TEXT default NULL, budget INTEGER default NULL, homepage TEXT default NULL, overview TEXT default NULL, popularity REAL default NULL, release_date DATE default NULL, revenue INTEGER default NULL, runtime INTEGER default NULL, movie_status TEXT default NULL, tagline TEXT default NULL, vote_average REAL default NULL, vote_count INTEGER default NULL ) /* 1 example row: SELECT * FROM movie LIMIT 1; movie_id || title || budget ||homepage || overview ||popularity ||release_date ||revenue ||runtime ||movie_status || tagline ||vote_average ||vote_count 5 ||Four Rooms ||4000000 || ||It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to place him in some outrageous predicaments. It seems that this evening's room service is serving up one unbelievable happening after another. || 22.87623 || 1995-12-09 ||4300000 || 98 || Released ||Twelve outrageous guests. Four scandalous requests. And one lone bellhop, in his first day on the job, who's in for the wildest New year's Eve of his life. || 6.5 || 530 */ /* column definitions { "movie_id": "the unique identifier of the movie", "title": "the title of the movie", "budget": "the budget for the movie", "homepage": "the homepage of the movie", "overview": "the overview of the movie", "popularity": "the popularity of the movie", "release_date": "the release date of the movie", "revenue": "the revenue of the movie", "runtime": "the runtime of the movie", "movie_status": "the status of the movie\nThe only value of this column is 'Released'. ", "tagline": "the tagline of the movie", "vote_average": "the average vote for the movie", "vote_count": "the vote count for the movie" }*/ CREATE TABLE movie_genres ( movie_id INTEGER default NULL, genre_id INTEGER default NULL, foreign key (genre_id) references genre(genre_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM movie_genres LIMIT 1; movie_id ||genre_id 5 || 35 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "genre_id": "the id of the movie genre\nMaps to genre(genre_id)" }*/ CREATE TABLE movie_languages ( movie_id INTEGER default NULL, language_id INTEGER default NULL, language_role_id INTEGER default NULL, foreign key (language_id) references language(language_id), foreign key (movie_id) references movie(movie_id), foreign key (language_role_id) references language_role(role_id) ) /* 1 example row: SELECT * FROM movie_languages LIMIT 1; movie_id ||language_id ||language_role_id 5 || 24574 || 2 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "language_id": "the id of the movie language\nMaps to language(language_id)", "language_role_id": "the id of the role's language" }*/ CREATE TABLE person ( person_id INTEGER not null primary key, person_name TEXT default NULL ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || person_name 1 ||George Lucas */ /* column definitions { "person_id": "the unique identifier of the person", "person_name": "the name of the person" }*/ CREATE TABLE movie_crew ( movie_id INTEGER default NULL, person_id INTEGER default NULL, department_id INTEGER default NULL, job TEXT default NULL, foreign key (department_id) references department(department_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_crew LIMIT 1; movie_id ||person_id ||department_id || job 285 || 120 || 1 ||Director of Photography */ /* column definitions { "movie_id": "the id of the movie that the crew worked for\nMaps to movie(movie_id)", "person_id": "the id of the crew\nMaps to person(person_id)", "department_id": "the id of the crew's department\nMaps to department(department_id)", "job": "the job of the crew" }*/ CREATE TABLE production_company ( company_id INTEGER not null primary key, company_name TEXT default NULL ) /* 1 example row: SELECT * FROM production_company LIMIT 1; company_id ||company_name 1 || Lucasfilm */ /* column definitions { "company_id": "the unique identifier of the company", "company_name": "the name of the company" }*/ CREATE TABLE production_country ( movie_id INTEGER default NULL, country_id INTEGER default NULL, foreign key (country_id) references country(country_id), foreign key (movie_id) references movie(movie_id) ) /* 1 example row: SELECT * FROM production_country LIMIT 1; movie_id ||country_id 5 || 214 */ /* column definitions { "movie_id": "the unique identifier of the movie", "country_id": "the id of the country" }*/ CREATE TABLE movie_cast ( movie_id INTEGER default NULL, person_id INTEGER default NULL, character_name TEXT default NULL, gender_id INTEGER default NULL, cast_order INTEGER default NULL, foreign key (gender_id) references gender(gender_id), foreign key (movie_id) references movie(movie_id), foreign key (person_id) references person(person_id) ) /* 1 example row: SELECT * FROM movie_cast LIMIT 1; movie_id ||person_id || character_name ||gender_id ||cast_order 285 || 85 ||Captain Jack Sparrow || 2 || 0 */ /* column definitions { "movie_id": "the id of the movie\nMaps to movie(movie_id)", "person_id": "the id of the person\nMaps to person(person_id)", "character_name": "the character name", "gender_id": "the id of the cast's gender\nMaps to gender(gender_id)", "cast_order": "the cast order of the cast" }*/ CREATE TABLE "movie_keywords" ( movie_id INTEGER default NULL references movie, keyword_id INTEGER default NULL references keyword ) /* 1 example row: SELECT * FROM movie_keywords LIMIT 1; movie_id ||keyword_id 5 || 612 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "keyword_id": "the id of the movie keyword\nMaps to keyword(keyword_id)" }*/ CREATE TABLE "movie_company" ( movie_id INTEGER default NULL references movie, company_id INTEGER default NULL references production_company ) /* 1 example row: SELECT * FROM movie_company LIMIT 1; movie_id ||company_id 5 || 14 */ /* column definitions { "movie_id": "the id of the movie \nMaps to movie(movie_id)", "company_id": "the id of the company that produced the movie\nMaps to production_company(company_id)" }*/
570
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/ ### Question What is the id of the repository with the highest number of solution path? Clarification: highest number of solution path refers to max(count(Path)); id of the repository refers to RepoId
[query_database(**{'query': 'SELECT RepoId FROM solution GROUP BY RepoId ORDER BY COUNT(Path) 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 "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/ ### Question What is the github address of the "nofear_Mara\Mara.sln" solution path? Clarification: github address of repository refers to Url;
[query_database(**{'query': 'SELECT Url FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE Path = 'nofear_MaraMara.sln''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/ ### Question In the "https://github.com/wallerdev/htmlsharp.git", give all the linearized sequenced of API calls. Clarification: linearized sequenced of API calls refers to ApiCalls; 'https://github.com/wallerdev/htmlsharp.git' is url of repository
[query_database(**{'query': 'SELECT T3.ApiCalls FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId INNER JOIN Method AS T3 ON T2.Id = T3.SolutionId WHERE T1.Url = 'https://github.com/wallerdev/htmlsharp.git''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/
582
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/ ### Question What is the linearized sequenced of API calls of the method whose solution path is "mauriciodeamorim_tdd.encontro2\Tdd.Encontro2.sln"? Clarification: linearized sequenced of API calls refers to ApiCalls;
[query_database(**{'query': 'SELECT T2.ApiCalls FROM Solution AS T1 INNER JOIN Method AS T2 ON T1.Id = T2.SolutionId WHERE T1.Path = 'mauriciodeamorim_tdd.encontro2Tdd.Encontro2.sln''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/
586
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/ ### Question What is the language of the method used in the solution path "opendns_diagnosticapp\windows\OpenDnsDiagnostic.sln"? Clarification: language refers to Lang;
[query_database(**{'query': 'SELECT T2.Lang FROM Solution AS T1 INNER JOIN Method AS T2 ON T1.Id = T2.SolutionId WHERE T1.Path = 'opendns_diagnosticappwindowsOpenDnsDiagnostic.sln''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/ ### Question Which method has the summary "Write a command to the log"? Clarification:
[query_database(**{'query': 'SELECT Name FROM Method WHERE Summary = 'Write a command to the log''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/
593
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/ ### Question Among the solutions that contain files within the repository followed by over 1000 people, how many of them can be implemented without needs of compilation? Clarification: followed by over 1000 people refers to Forks >1000; can be implemented without needs of compilation refers to WasCompiled = 1;
[query_database(**{'query': 'SELECT COUNT(T2.RepoId) FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T1.Forks > 1000 AND T2.WasCompiled = 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 "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/ ### Question Please give the url of the repository whose files are contained in solution ID 9? Clarification:
[query_database(**{'query': 'SELECT T1.Url FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T2.Id = 9'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/
601
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/ ### Question What is the average time needed for the solutions containing files within the repository whose url is "https://github.com/jeffdik/tachy.git" to be processd? Clarification: average time = avg(ProcessedTime)；
[query_database(**{'query': 'SELECT CAST(SUM(T2.ProcessedTime) AS REAL) / COUNT(T2.RepoId) FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T1.Url = 'https://github.com/jeffdik/tachy.git''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/ ### Question List the summary of the method "Castle.MonoRail.Framework.Test.StubViewComponentContext.RenderSection". Clarification:
[query_database(**{'query': 'SELECT DISTINCT Summary FROM Method WHERE Name = 'Castle.MonoRail.Framework.Test.StubViewComponentContext.RenderSection''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/
609
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/ ### Question What is the solution path for the method "IQ.Data.DbQueryProvider.CanBeEvaluatedLocally"? Clarification: solution path refers to Path; method refers to Name; Name = 'IQ.Data.DbQueryProvider.CanBeEvaluatedLocally'
[query_database(**{'query': 'SELECT T1.Path FROM Solution AS T1 INNER JOIN Method AS T2 ON T1.Id = T2.SolutionId WHERE T2.Name = 'IQ.Data.DbQueryProvider.CanBeEvaluatedLocally''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/ ### Question For the repository with '8094' watchers , how many solutions does it contain? Clarification: repository refers to Repo.Id and RepoId; solutions a repository contains refers to Solution.Id;
[query_database(**{'query': 'SELECT COUNT(T2.RepoId) FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T1.Watchers = 8094'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/
617
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/ ### Question Give the number of watchers that the repository of the solution No. 338082 have. Clarification: number of watchers refers to Watchers; solution number refers to Solution.Id;
[query_database(**{'query': 'SELECT T1.Watchers FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T2.Id = 338082'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/
621
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/ ### Question Give the repository ID for the solution of method "Kalibrasi.Data.EntityClasses.THistoryJadwalEntity.GetSingleTjadwal". Clarification: repository ID refers to RepoID; method refers to Name; Name = 'Kalibrasi.Data.EntityClasses.THistoryJadwalEntity.GetSingleTjadwal';
[query_database(**{'query': 'SELECT DISTINCT T1.RepoId FROM Solution AS T1 INNER JOIN Method AS T2 ON T1.Id = T2.SolutionId WHERE T2.Name = 'Kalibrasi.Data.EntityClasses.THistoryJadwalEntity.GetSingleTjadwal''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/
625
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/ ### Question How many percent more of the watchers for the repository of solution No.83855 than No.1502? Clarification: solution No. refers to Solution.Id; percentage = DIVIDE(MULTIPLY(SUBTRACT(SUM(Solution.Id = 83855), SUM(Solution.Id = 1502)), 100)), SUM(Soltution.Id = 1502);
[query_database(**{'query': 'SELECT CAST(SUM(CASE WHEN T2.Id = 83855 THEN T1.Watchers ELSE 0 END) - SUM(CASE WHEN T2.Id = 1502 THEN T1.Watchers ELSE 0 END) AS REAL) * 100 / SUM(CASE WHEN T2.Id = 1502 THEN T1.Watchers ELSE 0 END) FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/
629
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/ ### Question How many solutions are in "https://github.com/derickbailey/presentations-and-training.git"? Clarification: solutions refers to Solution.Id; https://github.com/derickbailey/presentations-and-training.git refers to Url; Url; = 'https://github.com/derickbailey/presentations-and-training.git';
[query_database(**{'query': 'SELECT COUNT(T2.RepoId) FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T1.Url = 'https://github.com/derickbailey/presentations-and-training.git''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/
633
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/ ### Question What are the "en" methods with solutions from repository "1093" Clarification: en methods refers to lang = 'en'; solution refers to Solution.Id; repository refers to RepoId; RepoId = 1093;
[query_database(**{'query': 'SELECT DISTINCT T2.id FROM Solution AS T1 INNER JOIN Method AS T2 ON T1.Id = T2.SolutionId WHERE T1.RepoId = 1093 AND T2.Lang = 'en''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/
637
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/ ### Question How many methods with solutions with path 'maravillas_linq-to-delicious\tasty.sln'? Clarification: solution refers to SolutionId;
[query_database(**{'query': 'SELECT COUNT(T2.SolutionId) FROM Solution AS T1 INNER JOIN Method AS T2 ON T1.Id = T2.SolutionId WHERE T1.Path = 'maravillas_linq-to-delicious\tasty.sln''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/
641
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/ ### Question What is the percentage of Forks to Stars of repository for solution "104086"? Clarification: solution refers to Solution.Id; Solution.Id = 104086; percentage = MULTIPLY(DIVIDE(Forkk, Stars), 100);
[query_database(**{'query': 'SELECT CAST(T1.Forks AS REAL) * 100 / T1.Stars FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T2.Id = 104086'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/
645
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/ ### Question Please provide the id of the solution whose repository has the most watchers. Clarification: id of the solution refers to Solution.Id; repository has the most watchers refers to MAX(Watchers);
[query_database(**{'query': 'SELECT T2.Id FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T1.Watchers = ( SELECT MAX(Watchers) FROM Repo )'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/ ### Question Please list the names of methods with the solution path "wallerdev_htmlsharp\HtmlSharp.sln". Clarification: name of the methods refers to Name; solution path refers to Path; Path = 'wallerdev_htmlsharp\HtmlSharp.sln';
[query_database(**{'query': 'SELECT T2.Name FROM Solution AS T1 INNER JOIN Method AS T2 ON T1.Id = T2.SolutionId WHERE T1.Path = 'wallerdev_htmlsharpHtmlSharp.sln''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/ ### Question What the percentage of the english methods among the methods whose comments is XML format? Clarification: english methods refers to lang = 'en'; comment is XML format refers to CommentIsXml = 1;
[query_database(**{'query': 'SELECT CAST(SUM(CASE WHEN Lang = 'en' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(Name) FROM Method WHERE CommentIsXml = 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 "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/ ### Question How many solutions whose repository's stars are a third more than forks? Clarification: solutions refers to Solution.Id; repository stars are a third more than forks = (MULTIPLY(Stars, 1/3))>Forks;
[query_database(**{'query': 'SELECT COUNT(T2.RepoId) FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T1.Forks < T1.Stars * 1 / 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 "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/ ### Question How many more stars in percentage are there for the repository of solution "1" than solution "2"? Clarification: solution refers to Solution.Id; Solution.Id = 1 OR 2; percentage = DIVIDE(MULTIPLY(SUBTRACT(SUM(Solution.Id = 1), SUM(Solution.Id = 2)), 100)), SUM(Solution.Id = 2);
[query_database(**{'query': 'SELECT CAST(SUM(CASE WHEN T2.Id = 1 THEN T1.Stars ELSE 0 END) - SUM(CASE WHEN T2.Id = 2 THEN T1.Stars ELSE 0 END) AS REAL) * 100 / SUM(CASE WHEN T2.Id = 2 THEN T1.Stars ELSE 0 END) FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/ ### Question Please provide a link to the most well-known repository's Github address. Clarification: link refers to Url; well-known repository refers to MAX(Watchers);
[query_database(**{'query': 'SELECT Url FROM Repo WHERE Watchers = ( SELECT MAX(Watchers) FROM Repo )'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/
669
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/ ### Question What is solution 1's processing time and how many methods have been using this solution? Clarification: solution refers to Solution.Id and SolutionId; Solution.Id = 1; SolutionId = 1; processing time refers to ProcessedTime; methods refers to Name;
[query_database(**{'query': 'SELECT T1.ProcessedTime, COUNT(T2.SolutionId) FROM Solution AS T1 INNER JOIN Method AS T2 ON T1.Id = T2.SolutionId WHERE T2.SolutionId = 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 "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/ ### Question What is the comment format of method number 50 with the solution path "managedfusion_managedfusion\ManagedFusion.sln"? Clarification: comment format refers to CommentIsXml; method number refers to Method_100k.Id; Method_100k.Id = 50; solution path refers to Path; Path = 'managedfusion_managedfusion\ManagedFusion.sln';
[query_database(**{'query': 'SELECT CASE WHEN T2.CommentIsXml = 0 THEN 'isNotXMLFormat' WHEN T2.CommentIsXml = 1 THEN 'isXMLFormat' END format FROM Solution AS T1 INNER JOIN Method AS T2 ON T1.Id = T2.SolutionId WHERE T2.Id = 50 AND T1.Path = 'managedfusion_managedfusionManagedFusion.sln''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/ ### Question How many watchers does the path "maff_se3ue7\US7.sln" have? Clarification:
[query_database(**{'query': 'SELECT T1.Watchers FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T2.Path = 'maff_se3ue7US7.sln''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/ ### Question List 5 solution path that has sampling time of 636431758961741000. Clarification: solution path refers to Path; sampling time refers to SampledAt; SampledAt = '636431758961741000';
[query_database(**{'query': 'SELECT DISTINCT T1.Path FROM Solution AS T1 INNER JOIN Method AS T2 ON T1.Id = T2.SolutionId WHERE T2.SampledAt = 636431758961741000 LIMIT 5'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/ ### Question Provide the github address with the summary of method "A test for Decompose ". Clarification: github address refers to Url; summary of method refers to Summary; Summary = 'A test for Decompose';
[query_database(**{'query': 'SELECT T1.Url FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId INNER JOIN Method AS T3 ON T2.Id = T3.SolutionId WHERE T3.Summary = 'A test for Decompose''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Method" ( Id INTEGER not null primary key autoincrement, Name TEXT, FullComment TEXT, Summary TEXT, ApiCalls TEXT, CommentIsXml INTEGER, SampledAt INTEGER, SolutionId INTEGER, Lang TEXT, NameTokenized TEXT ) /* 1 example row: SELECT * FROM method LIMIT 1; Id || Name || FullComment ||Summary || ApiCalls ||CommentIsXml || SampledAt ||SolutionId ||Lang || NameTokenized 1 ||HtmlSharp.HtmlParser.Feed ||Feeds data into the parser || None ||System.String.IsNullOrEmpty HtmlSharp.HtmlParser.GoAhead HtmlSharp.HtmlParser.EndData HtmlSharp.HtmlParser.PopTag || 0 ||636430963695654788 || 1 ||None ||html parser feed */ /* column definitions { "Id ": "unique id number\nthat identifies methods", "Name ": "name of methods ", "FullComment": "full comment of this method", "Summary": "summary of the method", "ApiCalls": "linearized sequenced of API calls", "CommentIsXml": "whether the comment is XML format or not", "SampledAt": "the time of sampling", "SolutionId": "id number of solutions", "Lang": "language code of method", "NameTokenized": "tokenized name" }*/ CREATE TABLE "MethodParameter" ( Id INTEGER not null primary key autoincrement, MethodId TEXT, Type TEXT, Name TEXT ) /* 1 example row: SELECT * FROM methodparameter LIMIT 1; Id ||MethodId || Type ||Name 1 || 1 ||System.String ||data */ /* column definitions { "Id": "unique id number identifying method parameters", "MethodId": "", "Type": "type of the method", "Name": "name of the method" }*/ CREATE TABLE Repo ( Id INTEGER not null primary key autoincrement, Url TEXT, Stars INTEGER, Forks INTEGER, Watchers INTEGER, ProcessedTime INTEGER ) /* 1 example row: SELECT * FROM repo LIMIT 1; Id || Url ||Stars ||Forks ||Watchers || ProcessedTime 1 ||https://github.com/wallerdev/htmlsharp.git || 14 || 2 || 14 ||636430963247108053 */ /* column definitions { "Id": "unique id to identify repositories", "Url": "github address of repository", "Stars": "stars this repository has received", "Forks": "forks that the repository has received", "Watchers": "how many watchers of this repository", "ProcessedTime": "how much processed time of downloading this repository" }*/ CREATE TABLE Solution ( Id INTEGER not null primary key autoincrement, RepoId INTEGER, Path TEXT, ProcessedTime INTEGER, WasCompiled INTEGER ) /* 1 example row: SELECT * FROM solution LIMIT 1; Id ||RepoId || Path || ProcessedTime ||WasCompiled 1 || 1 ||wallerdev_htmlsharp\HtmlSharp.sln ||636430963695642191 || 1 */ /* column definitions { "0": "", "1": "Repository Id", "2": "Path", "3": "Processed Time", "4": "Was Compiled" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `cars` ( `id` INTEGER NOT NULL, `train_id` INTEGER DEFAULT NULL, `position` INTEGER DEFAULT NULL, `shape` TEXT DEFAULT NULL, `len`TEXT DEFAULT NULL, `sides` TEXT DEFAULT NULL, `roof` TEXT DEFAULT NULL, `wheels` INTEGER DEFAULT NULL, `load_shape` TEXT DEFAULT NULL, `load_num` INTEGER DEFAULT NULL, PRIMARY KEY (`id`), FOREIGN KEY (`train_id`) REFERENCES `trains` (`id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM cars LIMIT 1; id ||train_id ||position || shape || len || sides ||roof ||wheels ||load_shape ||load_num 1 || 1 || 1 ||rectangle ||short ||not_double ||none || 2 || circle || 1 */ /* column definitions { "id": "the unique id number representing the cars", "train_id": "the counterpart id for trains that the cars belong to", "position": "postion id of cars in the trains", "shape": "shape of the cars", "len": "length of the cars", "sides": "sides of the cars", "roof": "roof of the cars", "wheels": "wheels of the cars", "load_shape": "load shape", "load_num": "load number" }*/ CREATE TABLE `trains` ( `id` INTEGER NOT NULL, `direction` TEXT DEFAULT NULL, PRIMARY KEY (`id`) ) /* 1 example row: SELECT * FROM trains LIMIT 1; id ||direction 1 || east */ /* column definitions { "id": "the unique id representing the trains", "direction": "the direction of trains that are running " }*/ ### Question How many trains are there that run in the east direction? Clarification: east is a direction
[query_database(**{'query': 'SELECT COUNT(id) FROM trains WHERE direction = 'east''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `cars` ( `id` INTEGER NOT NULL, `train_id` INTEGER DEFAULT NULL, `position` INTEGER DEFAULT NULL, `shape` TEXT DEFAULT NULL, `len`TEXT DEFAULT NULL, `sides` TEXT DEFAULT NULL, `roof` TEXT DEFAULT NULL, `wheels` INTEGER DEFAULT NULL, `load_shape` TEXT DEFAULT NULL, `load_num` INTEGER DEFAULT NULL, PRIMARY KEY (`id`), FOREIGN KEY (`train_id`) REFERENCES `trains` (`id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM cars LIMIT 1; id ||train_id ||position || shape || len || sides ||roof ||wheels ||load_shape ||load_num 1 || 1 || 1 ||rectangle ||short ||not_double ||none || 2 || circle || 1 */ /* column definitions { "id": "the unique id number representing the cars", "train_id": "the counterpart id for trains that the cars belong to", "position": "postion id of cars in the trains", "shape": "shape of the cars", "len": "length of the cars", "sides": "sides of the cars", "roof": "roof of the cars", "wheels": "wheels of the cars", "load_shape": "load shape", "load_num": "load number" }*/ CREATE TABLE `trains` ( `id` INTEGER NOT NULL, `direction` TEXT DEFAULT NULL, PRIMARY KEY (`id`) ) /* 1 example row: SELECT * FROM trains LIMIT 1; id ||direction 1 || east */ /* column definitions { "id": "the unique id representing the trains", "direction": "the direction of trains that are running " }*/
692
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `cars` ( `id` INTEGER NOT NULL, `train_id` INTEGER DEFAULT NULL, `position` INTEGER DEFAULT NULL, `shape` TEXT DEFAULT NULL, `len`TEXT DEFAULT NULL, `sides` TEXT DEFAULT NULL, `roof` TEXT DEFAULT NULL, `wheels` INTEGER DEFAULT NULL, `load_shape` TEXT DEFAULT NULL, `load_num` INTEGER DEFAULT NULL, PRIMARY KEY (`id`), FOREIGN KEY (`train_id`) REFERENCES `trains` (`id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM cars LIMIT 1; id ||train_id ||position || shape || len || sides ||roof ||wheels ||load_shape ||load_num 1 || 1 || 1 ||rectangle ||short ||not_double ||none || 2 || circle || 1 */ /* column definitions { "id": "the unique id number representing the cars", "train_id": "the counterpart id for trains that the cars belong to", "position": "postion id of cars in the trains", "shape": "shape of the cars", "len": "length of the cars", "sides": "sides of the cars", "roof": "roof of the cars", "wheels": "wheels of the cars", "load_shape": "load shape", "load_num": "load number" }*/ CREATE TABLE `trains` ( `id` INTEGER NOT NULL, `direction` TEXT DEFAULT NULL, PRIMARY KEY (`id`) ) /* 1 example row: SELECT * FROM trains LIMIT 1; id ||direction 1 || east */ /* column definitions { "id": "the unique id representing the trains", "direction": "the direction of trains that are running " }*/ ### Question What is the shape of the tail car on train no.1? Clarification: train no.1 refers to train_id = 1; tail car refers to position = 4
[query_database(**{'query': 'SELECT shape FROM cars WHERE train_id = 1 AND position = 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 `cars` ( `id` INTEGER NOT NULL, `train_id` INTEGER DEFAULT NULL, `position` INTEGER DEFAULT NULL, `shape` TEXT DEFAULT NULL, `len`TEXT DEFAULT NULL, `sides` TEXT DEFAULT NULL, `roof` TEXT DEFAULT NULL, `wheels` INTEGER DEFAULT NULL, `load_shape` TEXT DEFAULT NULL, `load_num` INTEGER DEFAULT NULL, PRIMARY KEY (`id`), FOREIGN KEY (`train_id`) REFERENCES `trains` (`id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM cars LIMIT 1; id ||train_id ||position || shape || len || sides ||roof ||wheels ||load_shape ||load_num 1 || 1 || 1 ||rectangle ||short ||not_double ||none || 2 || circle || 1 */ /* column definitions { "id": "the unique id number representing the cars", "train_id": "the counterpart id for trains that the cars belong to", "position": "postion id of cars in the trains", "shape": "shape of the cars", "len": "length of the cars", "sides": "sides of the cars", "roof": "roof of the cars", "wheels": "wheels of the cars", "load_shape": "load shape", "load_num": "load number" }*/ CREATE TABLE `trains` ( `id` INTEGER NOT NULL, `direction` TEXT DEFAULT NULL, PRIMARY KEY (`id`) ) /* 1 example row: SELECT * FROM trains LIMIT 1; id ||direction 1 || east */ /* column definitions { "id": "the unique id representing the trains", "direction": "the direction of trains that are running " }*/
696
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `cars` ( `id` INTEGER NOT NULL, `train_id` INTEGER DEFAULT NULL, `position` INTEGER DEFAULT NULL, `shape` TEXT DEFAULT NULL, `len`TEXT DEFAULT NULL, `sides` TEXT DEFAULT NULL, `roof` TEXT DEFAULT NULL, `wheels` INTEGER DEFAULT NULL, `load_shape` TEXT DEFAULT NULL, `load_num` INTEGER DEFAULT NULL, PRIMARY KEY (`id`), FOREIGN KEY (`train_id`) REFERENCES `trains` (`id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM cars LIMIT 1; id ||train_id ||position || shape || len || sides ||roof ||wheels ||load_shape ||load_num 1 || 1 || 1 ||rectangle ||short ||not_double ||none || 2 || circle || 1 */ /* column definitions { "id": "the unique id number representing the cars", "train_id": "the counterpart id for trains that the cars belong to", "position": "postion id of cars in the trains", "shape": "shape of the cars", "len": "length of the cars", "sides": "sides of the cars", "roof": "roof of the cars", "wheels": "wheels of the cars", "load_shape": "load shape", "load_num": "load number" }*/ CREATE TABLE `trains` ( `id` INTEGER NOT NULL, `direction` TEXT DEFAULT NULL, PRIMARY KEY (`id`) ) /* 1 example row: SELECT * FROM trains LIMIT 1; id ||direction 1 || east */ /* column definitions { "id": "the unique id representing the trains", "direction": "the direction of trains that are running " }*/ ### Question Among the trains that run in the east direction, how many of them have at least one car in a non-regular shape? Clarification: non-regular shape refers to shape in ('elipse', 'bucket')
[query_database(**{'query': 'SELECT SUM(CASE WHEN T1.shape IN ('bucket', 'elipse') THEN 1 ELSE 0 end)as count FROM cars AS T1 INNER JOIN trains AS T2 ON T1.train_id = T2.id WHERE T2.direction = 'east''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `cars` ( `id` INTEGER NOT NULL, `train_id` INTEGER DEFAULT NULL, `position` INTEGER DEFAULT NULL, `shape` TEXT DEFAULT NULL, `len`TEXT DEFAULT NULL, `sides` TEXT DEFAULT NULL, `roof` TEXT DEFAULT NULL, `wheels` INTEGER DEFAULT NULL, `load_shape` TEXT DEFAULT NULL, `load_num` INTEGER DEFAULT NULL, PRIMARY KEY (`id`), FOREIGN KEY (`train_id`) REFERENCES `trains` (`id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM cars LIMIT 1; id ||train_id ||position || shape || len || sides ||roof ||wheels ||load_shape ||load_num 1 || 1 || 1 ||rectangle ||short ||not_double ||none || 2 || circle || 1 */ /* column definitions { "id": "the unique id number representing the cars", "train_id": "the counterpart id for trains that the cars belong to", "position": "postion id of cars in the trains", "shape": "shape of the cars", "len": "length of the cars", "sides": "sides of the cars", "roof": "roof of the cars", "wheels": "wheels of the cars", "load_shape": "load shape", "load_num": "load number" }*/ CREATE TABLE `trains` ( `id` INTEGER NOT NULL, `direction` TEXT DEFAULT NULL, PRIMARY KEY (`id`) ) /* 1 example row: SELECT * FROM trains LIMIT 1; id ||direction 1 || east */ /* column definitions { "id": "the unique id representing the trains", "direction": "the direction of trains that are running " }*/
700
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `cars` ( `id` INTEGER NOT NULL, `train_id` INTEGER DEFAULT NULL, `position` INTEGER DEFAULT NULL, `shape` TEXT DEFAULT NULL, `len`TEXT DEFAULT NULL, `sides` TEXT DEFAULT NULL, `roof` TEXT DEFAULT NULL, `wheels` INTEGER DEFAULT NULL, `load_shape` TEXT DEFAULT NULL, `load_num` INTEGER DEFAULT NULL, PRIMARY KEY (`id`), FOREIGN KEY (`train_id`) REFERENCES `trains` (`id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM cars LIMIT 1; id ||train_id ||position || shape || len || sides ||roof ||wheels ||load_shape ||load_num 1 || 1 || 1 ||rectangle ||short ||not_double ||none || 2 || circle || 1 */ /* column definitions { "id": "the unique id number representing the cars", "train_id": "the counterpart id for trains that the cars belong to", "position": "postion id of cars in the trains", "shape": "shape of the cars", "len": "length of the cars", "sides": "sides of the cars", "roof": "roof of the cars", "wheels": "wheels of the cars", "load_shape": "load shape", "load_num": "load number" }*/ CREATE TABLE `trains` ( `id` INTEGER NOT NULL, `direction` TEXT DEFAULT NULL, PRIMARY KEY (`id`) ) /* 1 example row: SELECT * FROM trains LIMIT 1; id ||direction 1 || east */ /* column definitions { "id": "the unique id representing the trains", "direction": "the direction of trains that are running " }*/ ### Question Please list the directions in which the trains with at least one empty-loaded car run. Clarification: at least one empty-loaded car run refers to load_num = 0
[query_database(**{'query': 'SELECT T2.direction FROM cars AS T1 INNER JOIN trains AS T2 ON T1.train_id = T2.id WHERE T1.load_num = 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 `cars` ( `id` INTEGER NOT NULL, `train_id` INTEGER DEFAULT NULL, `position` INTEGER DEFAULT NULL, `shape` TEXT DEFAULT NULL, `len`TEXT DEFAULT NULL, `sides` TEXT DEFAULT NULL, `roof` TEXT DEFAULT NULL, `wheels` INTEGER DEFAULT NULL, `load_shape` TEXT DEFAULT NULL, `load_num` INTEGER DEFAULT NULL, PRIMARY KEY (`id`), FOREIGN KEY (`train_id`) REFERENCES `trains` (`id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM cars LIMIT 1; id ||train_id ||position || shape || len || sides ||roof ||wheels ||load_shape ||load_num 1 || 1 || 1 ||rectangle ||short ||not_double ||none || 2 || circle || 1 */ /* column definitions { "id": "the unique id number representing the cars", "train_id": "the counterpart id for trains that the cars belong to", "position": "postion id of cars in the trains", "shape": "shape of the cars", "len": "length of the cars", "sides": "sides of the cars", "roof": "roof of the cars", "wheels": "wheels of the cars", "load_shape": "load shape", "load_num": "load number" }*/ CREATE TABLE `trains` ( `id` INTEGER NOT NULL, `direction` TEXT DEFAULT NULL, PRIMARY KEY (`id`) ) /* 1 example row: SELECT * FROM trains LIMIT 1; id ||direction 1 || east */ /* column definitions { "id": "the unique id representing the trains", "direction": "the direction of trains that are running " }*/
704
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `cars` ( `id` INTEGER NOT NULL, `train_id` INTEGER DEFAULT NULL, `position` INTEGER DEFAULT NULL, `shape` TEXT DEFAULT NULL, `len`TEXT DEFAULT NULL, `sides` TEXT DEFAULT NULL, `roof` TEXT DEFAULT NULL, `wheels` INTEGER DEFAULT NULL, `load_shape` TEXT DEFAULT NULL, `load_num` INTEGER DEFAULT NULL, PRIMARY KEY (`id`), FOREIGN KEY (`train_id`) REFERENCES `trains` (`id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM cars LIMIT 1; id ||train_id ||position || shape || len || sides ||roof ||wheels ||load_shape ||load_num 1 || 1 || 1 ||rectangle ||short ||not_double ||none || 2 || circle || 1 */ /* column definitions { "id": "the unique id number representing the cars", "train_id": "the counterpart id for trains that the cars belong to", "position": "postion id of cars in the trains", "shape": "shape of the cars", "len": "length of the cars", "sides": "sides of the cars", "roof": "roof of the cars", "wheels": "wheels of the cars", "load_shape": "load shape", "load_num": "load number" }*/ CREATE TABLE `trains` ( `id` INTEGER NOT NULL, `direction` TEXT DEFAULT NULL, PRIMARY KEY (`id`) ) /* 1 example row: SELECT * FROM trains LIMIT 1; id ||direction 1 || east */ /* column definitions { "id": "the unique id representing the trains", "direction": "the direction of trains that are running " }*/ ### Question How many cars on a train that runs in the east direction have a flat roof? Clarification: flat roof refers to roof = 'flat'
[query_database(**{'query': 'SELECT SUM(CASE WHEN T1.roof = 'flat' THEN 1 ELSE 0 END)as count FROM cars AS T1 INNER JOIN trains AS T2 ON T1.train_id = T2.id WHERE T2.direction = 'east''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `cars` ( `id` INTEGER NOT NULL, `train_id` INTEGER DEFAULT NULL, `position` INTEGER DEFAULT NULL, `shape` TEXT DEFAULT NULL, `len`TEXT DEFAULT NULL, `sides` TEXT DEFAULT NULL, `roof` TEXT DEFAULT NULL, `wheels` INTEGER DEFAULT NULL, `load_shape` TEXT DEFAULT NULL, `load_num` INTEGER DEFAULT NULL, PRIMARY KEY (`id`), FOREIGN KEY (`train_id`) REFERENCES `trains` (`id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM cars LIMIT 1; id ||train_id ||position || shape || len || sides ||roof ||wheels ||load_shape ||load_num 1 || 1 || 1 ||rectangle ||short ||not_double ||none || 2 || circle || 1 */ /* column definitions { "id": "the unique id number representing the cars", "train_id": "the counterpart id for trains that the cars belong to", "position": "postion id of cars in the trains", "shape": "shape of the cars", "len": "length of the cars", "sides": "sides of the cars", "roof": "roof of the cars", "wheels": "wheels of the cars", "load_shape": "load shape", "load_num": "load number" }*/ CREATE TABLE `trains` ( `id` INTEGER NOT NULL, `direction` TEXT DEFAULT NULL, PRIMARY KEY (`id`) ) /* 1 example row: SELECT * FROM trains LIMIT 1; id ||direction 1 || east */ /* column definitions { "id": "the unique id representing the trains", "direction": "the direction of trains that are running " }*/
708
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `cars` ( `id` INTEGER NOT NULL, `train_id` INTEGER DEFAULT NULL, `position` INTEGER DEFAULT NULL, `shape` TEXT DEFAULT NULL, `len`TEXT DEFAULT NULL, `sides` TEXT DEFAULT NULL, `roof` TEXT DEFAULT NULL, `wheels` INTEGER DEFAULT NULL, `load_shape` TEXT DEFAULT NULL, `load_num` INTEGER DEFAULT NULL, PRIMARY KEY (`id`), FOREIGN KEY (`train_id`) REFERENCES `trains` (`id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM cars LIMIT 1; id ||train_id ||position || shape || len || sides ||roof ||wheels ||load_shape ||load_num 1 || 1 || 1 ||rectangle ||short ||not_double ||none || 2 || circle || 1 */ /* column definitions { "id": "the unique id number representing the cars", "train_id": "the counterpart id for trains that the cars belong to", "position": "postion id of cars in the trains", "shape": "shape of the cars", "len": "length of the cars", "sides": "sides of the cars", "roof": "roof of the cars", "wheels": "wheels of the cars", "load_shape": "load shape", "load_num": "load number" }*/ CREATE TABLE `trains` ( `id` INTEGER NOT NULL, `direction` TEXT DEFAULT NULL, PRIMARY KEY (`id`) ) /* 1 example row: SELECT * FROM trains LIMIT 1; id ||direction 1 || east */ /* column definitions { "id": "the unique id representing the trains", "direction": "the direction of trains that are running " }*/ ### Question What is the average number of cars on trains that run in the east direction? Clarification: calculation = DIVIDE(count(id), count(train_id))
[query_database(**{'query': 'SELECT CAST(COUNT(T1.id) AS REAL) / COUNT(DISTINCT T1.train_id) FROM cars AS T1 INNER JOIN trains AS T2 ON T1.train_id = T2.id WHERE T2.direction = 'east''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `cars` ( `id` INTEGER NOT NULL, `train_id` INTEGER DEFAULT NULL, `position` INTEGER DEFAULT NULL, `shape` TEXT DEFAULT NULL, `len`TEXT DEFAULT NULL, `sides` TEXT DEFAULT NULL, `roof` TEXT DEFAULT NULL, `wheels` INTEGER DEFAULT NULL, `load_shape` TEXT DEFAULT NULL, `load_num` INTEGER DEFAULT NULL, PRIMARY KEY (`id`), FOREIGN KEY (`train_id`) REFERENCES `trains` (`id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM cars LIMIT 1; id ||train_id ||position || shape || len || sides ||roof ||wheels ||load_shape ||load_num 1 || 1 || 1 ||rectangle ||short ||not_double ||none || 2 || circle || 1 */ /* column definitions { "id": "the unique id number representing the cars", "train_id": "the counterpart id for trains that the cars belong to", "position": "postion id of cars in the trains", "shape": "shape of the cars", "len": "length of the cars", "sides": "sides of the cars", "roof": "roof of the cars", "wheels": "wheels of the cars", "load_shape": "load shape", "load_num": "load number" }*/ CREATE TABLE `trains` ( `id` INTEGER NOT NULL, `direction` TEXT DEFAULT NULL, PRIMARY KEY (`id`) ) /* 1 example row: SELECT * FROM trains LIMIT 1; id ||direction 1 || east */ /* column definitions { "id": "the unique id representing the trains", "direction": "the direction of trains that are running " }*/
712
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `cars` ( `id` INTEGER NOT NULL, `train_id` INTEGER DEFAULT NULL, `position` INTEGER DEFAULT NULL, `shape` TEXT DEFAULT NULL, `len`TEXT DEFAULT NULL, `sides` TEXT DEFAULT NULL, `roof` TEXT DEFAULT NULL, `wheels` INTEGER DEFAULT NULL, `load_shape` TEXT DEFAULT NULL, `load_num` INTEGER DEFAULT NULL, PRIMARY KEY (`id`), FOREIGN KEY (`train_id`) REFERENCES `trains` (`id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM cars LIMIT 1; id ||train_id ||position || shape || len || sides ||roof ||wheels ||load_shape ||load_num 1 || 1 || 1 ||rectangle ||short ||not_double ||none || 2 || circle || 1 */ /* column definitions { "id": "the unique id number representing the cars", "train_id": "the counterpart id for trains that the cars belong to", "position": "postion id of cars in the trains", "shape": "shape of the cars", "len": "length of the cars", "sides": "sides of the cars", "roof": "roof of the cars", "wheels": "wheels of the cars", "load_shape": "load shape", "load_num": "load number" }*/ CREATE TABLE `trains` ( `id` INTEGER NOT NULL, `direction` TEXT DEFAULT NULL, PRIMARY KEY (`id`) ) /* 1 example row: SELECT * FROM trains LIMIT 1; id ||direction 1 || east */ /* column definitions { "id": "the unique id representing the trains", "direction": "the direction of trains that are running " }*/ ### Question What are the load shapes of all the short ellipse cars? Clarification: short refers to len = 'short'; ellipse cars refers to shape = 'ellipse'
[query_database(**{'query': 'SELECT load_shape FROM cars WHERE shape = 'ellipse' AND len = '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 `cars` ( `id` INTEGER NOT NULL, `train_id` INTEGER DEFAULT NULL, `position` INTEGER DEFAULT NULL, `shape` TEXT DEFAULT NULL, `len`TEXT DEFAULT NULL, `sides` TEXT DEFAULT NULL, `roof` TEXT DEFAULT NULL, `wheels` INTEGER DEFAULT NULL, `load_shape` TEXT DEFAULT NULL, `load_num` INTEGER DEFAULT NULL, PRIMARY KEY (`id`), FOREIGN KEY (`train_id`) REFERENCES `trains` (`id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM cars LIMIT 1; id ||train_id ||position || shape || len || sides ||roof ||wheels ||load_shape ||load_num 1 || 1 || 1 ||rectangle ||short ||not_double ||none || 2 || circle || 1 */ /* column definitions { "id": "the unique id number representing the cars", "train_id": "the counterpart id for trains that the cars belong to", "position": "postion id of cars in the trains", "shape": "shape of the cars", "len": "length of the cars", "sides": "sides of the cars", "roof": "roof of the cars", "wheels": "wheels of the cars", "load_shape": "load shape", "load_num": "load number" }*/ CREATE TABLE `trains` ( `id` INTEGER NOT NULL, `direction` TEXT DEFAULT NULL, PRIMARY KEY (`id`) ) /* 1 example row: SELECT * FROM trains LIMIT 1; id ||direction 1 || east */ /* column definitions { "id": "the unique id representing the trains", "direction": "the direction of trains that are running " }*/
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 `cars` ( `id` INTEGER NOT NULL, `train_id` INTEGER DEFAULT NULL, `position` INTEGER DEFAULT NULL, `shape` TEXT DEFAULT NULL, `len`TEXT DEFAULT NULL, `sides` TEXT DEFAULT NULL, `roof` TEXT DEFAULT NULL, `wheels` INTEGER DEFAULT NULL, `load_shape` TEXT DEFAULT NULL, `load_num` INTEGER DEFAULT NULL, PRIMARY KEY (`id`), FOREIGN KEY (`train_id`) REFERENCES `trains` (`id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM cars LIMIT 1; id ||train_id ||position || shape || len || sides ||roof ||wheels ||load_shape ||load_num 1 || 1 || 1 ||rectangle ||short ||not_double ||none || 2 || circle || 1 */ /* column definitions { "id": "the unique id number representing the cars", "train_id": "the counterpart id for trains that the cars belong to", "position": "postion id of cars in the trains", "shape": "shape of the cars", "len": "length of the cars", "sides": "sides of the cars", "roof": "roof of the cars", "wheels": "wheels of the cars", "load_shape": "load shape", "load_num": "load number" }*/ CREATE TABLE `trains` ( `id` INTEGER NOT NULL, `direction` TEXT DEFAULT NULL, PRIMARY KEY (`id`) ) /* 1 example row: SELECT * FROM trains LIMIT 1; id ||direction 1 || east */ /* column definitions { "id": "the unique id representing the trains", "direction": "the direction of trains that are running " }*/ ### Question Among the trains running east, how many trains have at least 4 cars? Clarification: east is a direction; at least 4 cars refers to carsNum > = 4
[query_database(**{'query': 'SELECT SUM(CASE WHEN T1.direction = 'east' THEN 1 ELSE 0 END)as count FROM trains AS T1 INNER JOIN ( SELECT train_id, COUNT(id) AS carsNum FROM cars GROUP BY train_id ) AS T2 ON T1.id = T2.train_id WHERE T2.carsNum >= 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 `cars` ( `id` INTEGER NOT NULL, `train_id` INTEGER DEFAULT NULL, `position` INTEGER DEFAULT NULL, `shape` TEXT DEFAULT NULL, `len`TEXT DEFAULT NULL, `sides` TEXT DEFAULT NULL, `roof` TEXT DEFAULT NULL, `wheels` INTEGER DEFAULT NULL, `load_shape` TEXT DEFAULT NULL, `load_num` INTEGER DEFAULT NULL, PRIMARY KEY (`id`), FOREIGN KEY (`train_id`) REFERENCES `trains` (`id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM cars LIMIT 1; id ||train_id ||position || shape || len || sides ||roof ||wheels ||load_shape ||load_num 1 || 1 || 1 ||rectangle ||short ||not_double ||none || 2 || circle || 1 */ /* column definitions { "id": "the unique id number representing the cars", "train_id": "the counterpart id for trains that the cars belong to", "position": "postion id of cars in the trains", "shape": "shape of the cars", "len": "length of the cars", "sides": "sides of the cars", "roof": "roof of the cars", "wheels": "wheels of the cars", "load_shape": "load shape", "load_num": "load number" }*/ CREATE TABLE `trains` ( `id` INTEGER NOT NULL, `direction` TEXT DEFAULT NULL, PRIMARY KEY (`id`) ) /* 1 example row: SELECT * FROM trains LIMIT 1; id ||direction 1 || east */ /* column definitions { "id": "the unique id representing the trains", "direction": "the direction of trains that are running " }*/
721
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `cars` ( `id` INTEGER NOT NULL, `train_id` INTEGER DEFAULT NULL, `position` INTEGER DEFAULT NULL, `shape` TEXT DEFAULT NULL, `len`TEXT DEFAULT NULL, `sides` TEXT DEFAULT NULL, `roof` TEXT DEFAULT NULL, `wheels` INTEGER DEFAULT NULL, `load_shape` TEXT DEFAULT NULL, `load_num` INTEGER DEFAULT NULL, PRIMARY KEY (`id`), FOREIGN KEY (`train_id`) REFERENCES `trains` (`id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM cars LIMIT 1; id ||train_id ||position || shape || len || sides ||roof ||wheels ||load_shape ||load_num 1 || 1 || 1 ||rectangle ||short ||not_double ||none || 2 || circle || 1 */ /* column definitions { "id": "the unique id number representing the cars", "train_id": "the counterpart id for trains that the cars belong to", "position": "postion id of cars in the trains", "shape": "shape of the cars", "len": "length of the cars", "sides": "sides of the cars", "roof": "roof of the cars", "wheels": "wheels of the cars", "load_shape": "load shape", "load_num": "load number" }*/ CREATE TABLE `trains` ( `id` INTEGER NOT NULL, `direction` TEXT DEFAULT NULL, PRIMARY KEY (`id`) ) /* 1 example row: SELECT * FROM trains LIMIT 1; id ||direction 1 || east */ /* column definitions { "id": "the unique id representing the trains", "direction": "the direction of trains that are running " }*/ ### Question Which direction does the majority of the trains that have 3 cars are running? Clarification: 3 cars refers to carsNum = 3
[query_database(**{'query': 'SELECT T1.direction FROM trains AS T1 INNER JOIN ( SELECT train_id, COUNT(id) AS carsNum FROM cars GROUP BY train_id HAVING carsNum = 3 ) AS T2 ON T1.id = T2.train_id GROUP BY T1.direction'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `cars` ( `id` INTEGER NOT NULL, `train_id` INTEGER DEFAULT NULL, `position` INTEGER DEFAULT NULL, `shape` TEXT DEFAULT NULL, `len`TEXT DEFAULT NULL, `sides` TEXT DEFAULT NULL, `roof` TEXT DEFAULT NULL, `wheels` INTEGER DEFAULT NULL, `load_shape` TEXT DEFAULT NULL, `load_num` INTEGER DEFAULT NULL, PRIMARY KEY (`id`), FOREIGN KEY (`train_id`) REFERENCES `trains` (`id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM cars LIMIT 1; id ||train_id ||position || shape || len || sides ||roof ||wheels ||load_shape ||load_num 1 || 1 || 1 ||rectangle ||short ||not_double ||none || 2 || circle || 1 */ /* column definitions { "id": "the unique id number representing the cars", "train_id": "the counterpart id for trains that the cars belong to", "position": "postion id of cars in the trains", "shape": "shape of the cars", "len": "length of the cars", "sides": "sides of the cars", "roof": "roof of the cars", "wheels": "wheels of the cars", "load_shape": "load shape", "load_num": "load number" }*/ CREATE TABLE `trains` ( `id` INTEGER NOT NULL, `direction` TEXT DEFAULT NULL, PRIMARY KEY (`id`) ) /* 1 example row: SELECT * FROM trains LIMIT 1; id ||direction 1 || east */ /* column definitions { "id": "the unique id representing the trains", "direction": "the direction of trains that are running " }*/
726
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `cars` ( `id` INTEGER NOT NULL, `train_id` INTEGER DEFAULT NULL, `position` INTEGER DEFAULT NULL, `shape` TEXT DEFAULT NULL, `len`TEXT DEFAULT NULL, `sides` TEXT DEFAULT NULL, `roof` TEXT DEFAULT NULL, `wheels` INTEGER DEFAULT NULL, `load_shape` TEXT DEFAULT NULL, `load_num` INTEGER DEFAULT NULL, PRIMARY KEY (`id`), FOREIGN KEY (`train_id`) REFERENCES `trains` (`id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM cars LIMIT 1; id ||train_id ||position || shape || len || sides ||roof ||wheels ||load_shape ||load_num 1 || 1 || 1 ||rectangle ||short ||not_double ||none || 2 || circle || 1 */ /* column definitions { "id": "the unique id number representing the cars", "train_id": "the counterpart id for trains that the cars belong to", "position": "postion id of cars in the trains", "shape": "shape of the cars", "len": "length of the cars", "sides": "sides of the cars", "roof": "roof of the cars", "wheels": "wheels of the cars", "load_shape": "load shape", "load_num": "load number" }*/ CREATE TABLE `trains` ( `id` INTEGER NOT NULL, `direction` TEXT DEFAULT NULL, PRIMARY KEY (`id`) ) /* 1 example row: SELECT * FROM trains LIMIT 1; id ||direction 1 || east */ /* column definitions { "id": "the unique id representing the trains", "direction": "the direction of trains that are running " }*/ ### Question Among the trains running west, how many trains have three-wheeled, jagged roof cars? Clarification: west is an direction; three-wheeled refers to wheels = 3; jagged roof refers to roof = 'jagged'
[query_database(**{'query': 'SELECT SUM(CASE WHEN T2.direction = 'west' THEN 1 ELSE 0 END)as count FROM cars AS T1 INNER JOIN trains AS T2 ON T1.train_id = T2.id WHERE T1.wheels = 3 AND T1.roof = 'jagged''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `cars` ( `id` INTEGER NOT NULL, `train_id` INTEGER DEFAULT NULL, `position` INTEGER DEFAULT NULL, `shape` TEXT DEFAULT NULL, `len`TEXT DEFAULT NULL, `sides` TEXT DEFAULT NULL, `roof` TEXT DEFAULT NULL, `wheels` INTEGER DEFAULT NULL, `load_shape` TEXT DEFAULT NULL, `load_num` INTEGER DEFAULT NULL, PRIMARY KEY (`id`), FOREIGN KEY (`train_id`) REFERENCES `trains` (`id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM cars LIMIT 1; id ||train_id ||position || shape || len || sides ||roof ||wheels ||load_shape ||load_num 1 || 1 || 1 ||rectangle ||short ||not_double ||none || 2 || circle || 1 */ /* column definitions { "id": "the unique id number representing the cars", "train_id": "the counterpart id for trains that the cars belong to", "position": "postion id of cars in the trains", "shape": "shape of the cars", "len": "length of the cars", "sides": "sides of the cars", "roof": "roof of the cars", "wheels": "wheels of the cars", "load_shape": "load shape", "load_num": "load number" }*/ CREATE TABLE `trains` ( `id` INTEGER NOT NULL, `direction` TEXT DEFAULT NULL, PRIMARY KEY (`id`) ) /* 1 example row: SELECT * FROM trains LIMIT 1; id ||direction 1 || east */ /* column definitions { "id": "the unique id representing the trains", "direction": "the direction of trains that are running " }*/
730
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE actor ( ActorID INTEGER constraint actor_pk primary key, Name TEXT, "Date of Birth" DATE, "Birth City" TEXT, "Birth Country" TEXT, "Height (Inches)" INTEGER, Biography TEXT, Gender TEXT, Ethnicity TEXT, NetWorth TEXT ) /* 1 example row: SELECT * FROM actor LIMIT 1; ActorID || Name ||Date of Birth ||Birth City ||Birth Country ||Height (Inches) || Biography ||Gender ||Ethnicity || NetWorth 1 ||John Travolta || 1954-02-18 || Englewood || USA || 74 ||John Joseph Travolta was born in Englewood, New Jersey, one of six children of Helen Travolta (n�e Helen Cecilia Burke) and Salvatore/Samuel J. Travolta. His father was of Italian descent and his mother was of Irish ancestry. His father owned a tire repair shop called Travolta Tires in Hillsdale, NJ. Travolta started acting appearing in a local ... || Male || White ||$250,000,000.00 */ /* column definitions { "ActorID": "the unique id for the actor", "Name": "actor's name", "Date of Birth": "actor's birth date", "Birth City": "actor's birth city", "Birth Country": "actor's birth country", "Height (Inches)": "actor's height", "Biography": "actor's biography", "Gender": "actor's gender", "Ethnicity": "actor's ethnicity", "NetWorth": "actor's networth" }*/ CREATE TABLE movie ( MovieID INTEGER constraint movie_pk primary key, Title TEXT, "MPAA Rating" TEXT, Budget INTEGER, Gross INTEGER, "Release Date" TEXT, Genre TEXT, Runtime INTEGER, Rating REAL, "Rating Count" INTEGER, Summary TEXT ) /* 1 example row: SELECT * FROM movie LIMIT 1; MovieID || Title ||MPAA Rating || Budget || Gross ||Release Date || Genre ||Runtime ||Rating ||Rating Count || Summary 1 ||Look Who's Talking || PG-13 ||7500000 ||296000000 || 1989-10-12 ||Romance || 93 || 5.9 || 73638 ||After a single, career-minded woman is left on her own to give birth to the child of a married man, she finds a new romantic chance in a cab driver. Meanwhile, the point-of-view of the newborn boy is narrated through voice-over. */ /* column definitions { "MovieID": "the unique id for the movie", "Title": "the title of the movie", "MPAA Rating": "MPAA rating of the movie", "Budget": "the budget of the movie", "Gross": "the gross of the movie", "Release Date": "release date", "Genre": "the genre of the movie", "Runtime": "the runtime of the movie", "Rating": "the rating of the movie", "Rating Count": "the number of the ratings", "Summary": "the summary of the movie" }*/ CREATE TABLE characters ( MovieID INTEGER, ActorID INTEGER, "Character Name" TEXT, creditOrder INTEGER, pay TEXT, screentime TEXT, primary key (MovieID, ActorID), foreign key (ActorID) references actor(ActorID), foreign key (MovieID) references movie(MovieID) ) /* 1 example row: SELECT * FROM characters LIMIT 1; MovieID ||ActorID ||Character Name ||creditOrder || pay ||screentime 1 || 1 || James || 1 ||None || None */ /* column definitions { "MovieID": "the unique id for the movie", "ActorID": "the unique id for the actor", "Character Name": "the name of the character", "creditOrder": "order of the character in the credit list ", "pay": "the salary of the character", "screentime": "the screentime of the character" }*/ ### Question Please list the names of the characters in the movie Look Who's Talking. Clarification: movie Look Who's Talking refers to title = 'Look Who's Talking'
[query_database(**{'query': 'SELECT T2.`Character Name` FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID WHERE T1.Title = 'Look Who''s Talking''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE actor ( ActorID INTEGER constraint actor_pk primary key, Name TEXT, "Date of Birth" DATE, "Birth City" TEXT, "Birth Country" TEXT, "Height (Inches)" INTEGER, Biography TEXT, Gender TEXT, Ethnicity TEXT, NetWorth TEXT ) /* 1 example row: SELECT * FROM actor LIMIT 1; ActorID || Name ||Date of Birth ||Birth City ||Birth Country ||Height (Inches) || Biography ||Gender ||Ethnicity || NetWorth 1 ||John Travolta || 1954-02-18 || Englewood || USA || 74 ||John Joseph Travolta was born in Englewood, New Jersey, one of six children of Helen Travolta (n�e Helen Cecilia Burke) and Salvatore/Samuel J. Travolta. His father was of Italian descent and his mother was of Irish ancestry. His father owned a tire repair shop called Travolta Tires in Hillsdale, NJ. Travolta started acting appearing in a local ... || Male || White ||$250,000,000.00 */ /* column definitions { "ActorID": "the unique id for the actor", "Name": "actor's name", "Date of Birth": "actor's birth date", "Birth City": "actor's birth city", "Birth Country": "actor's birth country", "Height (Inches)": "actor's height", "Biography": "actor's biography", "Gender": "actor's gender", "Ethnicity": "actor's ethnicity", "NetWorth": "actor's networth" }*/ CREATE TABLE movie ( MovieID INTEGER constraint movie_pk primary key, Title TEXT, "MPAA Rating" TEXT, Budget INTEGER, Gross INTEGER, "Release Date" TEXT, Genre TEXT, Runtime INTEGER, Rating REAL, "Rating Count" INTEGER, Summary TEXT ) /* 1 example row: SELECT * FROM movie LIMIT 1; MovieID || Title ||MPAA Rating || Budget || Gross ||Release Date || Genre ||Runtime ||Rating ||Rating Count || Summary 1 ||Look Who's Talking || PG-13 ||7500000 ||296000000 || 1989-10-12 ||Romance || 93 || 5.9 || 73638 ||After a single, career-minded woman is left on her own to give birth to the child of a married man, she finds a new romantic chance in a cab driver. Meanwhile, the point-of-view of the newborn boy is narrated through voice-over. */ /* column definitions { "MovieID": "the unique id for the movie", "Title": "the title of the movie", "MPAA Rating": "MPAA rating of the movie", "Budget": "the budget of the movie", "Gross": "the gross of the movie", "Release Date": "release date", "Genre": "the genre of the movie", "Runtime": "the runtime of the movie", "Rating": "the rating of the movie", "Rating Count": "the number of the ratings", "Summary": "the summary of the movie" }*/ CREATE TABLE characters ( MovieID INTEGER, ActorID INTEGER, "Character Name" TEXT, creditOrder INTEGER, pay TEXT, screentime TEXT, primary key (MovieID, ActorID), foreign key (ActorID) references actor(ActorID), foreign key (MovieID) references movie(MovieID) ) /* 1 example row: SELECT * FROM characters LIMIT 1; MovieID ||ActorID ||Character Name ||creditOrder || pay ||screentime 1 || 1 || James || 1 ||None || None */ /* column definitions { "MovieID": "the unique id for the movie", "ActorID": "the unique id for the actor", "Character Name": "the name of the character", "creditOrder": "order of the character in the credit list ", "pay": "the salary of the character", "screentime": "the screentime of the character" }*/
734
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE actor ( ActorID INTEGER constraint actor_pk primary key, Name TEXT, "Date of Birth" DATE, "Birth City" TEXT, "Birth Country" TEXT, "Height (Inches)" INTEGER, Biography TEXT, Gender TEXT, Ethnicity TEXT, NetWorth TEXT ) /* 1 example row: SELECT * FROM actor LIMIT 1; ActorID || Name ||Date of Birth ||Birth City ||Birth Country ||Height (Inches) || Biography ||Gender ||Ethnicity || NetWorth 1 ||John Travolta || 1954-02-18 || Englewood || USA || 74 ||John Joseph Travolta was born in Englewood, New Jersey, one of six children of Helen Travolta (n�e Helen Cecilia Burke) and Salvatore/Samuel J. Travolta. His father was of Italian descent and his mother was of Irish ancestry. His father owned a tire repair shop called Travolta Tires in Hillsdale, NJ. Travolta started acting appearing in a local ... || Male || White ||$250,000,000.00 */ /* column definitions { "ActorID": "the unique id for the actor", "Name": "actor's name", "Date of Birth": "actor's birth date", "Birth City": "actor's birth city", "Birth Country": "actor's birth country", "Height (Inches)": "actor's height", "Biography": "actor's biography", "Gender": "actor's gender", "Ethnicity": "actor's ethnicity", "NetWorth": "actor's networth" }*/ CREATE TABLE movie ( MovieID INTEGER constraint movie_pk primary key, Title TEXT, "MPAA Rating" TEXT, Budget INTEGER, Gross INTEGER, "Release Date" TEXT, Genre TEXT, Runtime INTEGER, Rating REAL, "Rating Count" INTEGER, Summary TEXT ) /* 1 example row: SELECT * FROM movie LIMIT 1; MovieID || Title ||MPAA Rating || Budget || Gross ||Release Date || Genre ||Runtime ||Rating ||Rating Count || Summary 1 ||Look Who's Talking || PG-13 ||7500000 ||296000000 || 1989-10-12 ||Romance || 93 || 5.9 || 73638 ||After a single, career-minded woman is left on her own to give birth to the child of a married man, she finds a new romantic chance in a cab driver. Meanwhile, the point-of-view of the newborn boy is narrated through voice-over. */ /* column definitions { "MovieID": "the unique id for the movie", "Title": "the title of the movie", "MPAA Rating": "MPAA rating of the movie", "Budget": "the budget of the movie", "Gross": "the gross of the movie", "Release Date": "release date", "Genre": "the genre of the movie", "Runtime": "the runtime of the movie", "Rating": "the rating of the movie", "Rating Count": "the number of the ratings", "Summary": "the summary of the movie" }*/ CREATE TABLE characters ( MovieID INTEGER, ActorID INTEGER, "Character Name" TEXT, creditOrder INTEGER, pay TEXT, screentime TEXT, primary key (MovieID, ActorID), foreign key (ActorID) references actor(ActorID), foreign key (MovieID) references movie(MovieID) ) /* 1 example row: SELECT * FROM characters LIMIT 1; MovieID ||ActorID ||Character Name ||creditOrder || pay ||screentime 1 || 1 || James || 1 ||None || None */ /* column definitions { "MovieID": "the unique id for the movie", "ActorID": "the unique id for the actor", "Character Name": "the name of the character", "creditOrder": "order of the character in the credit list ", "pay": "the salary of the character", "screentime": "the screentime of the character" }*/ ### Question Which movie is the character Dr. Archibald 'Moonlight' Graham from? Clarification: movie name refers to title; character Dr. Archibald 'Moonlight' Graham refers to character_name = 'Dr. Archibald 'Moonlight' Graham'
[query_database(**{'query': 'SELECT T1.Title FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID WHERE T2.`Character Name` = 'Dr. Archibald ''Moonlight'' Graham''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE actor ( ActorID INTEGER constraint actor_pk primary key, Name TEXT, "Date of Birth" DATE, "Birth City" TEXT, "Birth Country" TEXT, "Height (Inches)" INTEGER, Biography TEXT, Gender TEXT, Ethnicity TEXT, NetWorth TEXT ) /* 1 example row: SELECT * FROM actor LIMIT 1; ActorID || Name ||Date of Birth ||Birth City ||Birth Country ||Height (Inches) || Biography ||Gender ||Ethnicity || NetWorth 1 ||John Travolta || 1954-02-18 || Englewood || USA || 74 ||John Joseph Travolta was born in Englewood, New Jersey, one of six children of Helen Travolta (n�e Helen Cecilia Burke) and Salvatore/Samuel J. Travolta. His father was of Italian descent and his mother was of Irish ancestry. His father owned a tire repair shop called Travolta Tires in Hillsdale, NJ. Travolta started acting appearing in a local ... || Male || White ||$250,000,000.00 */ /* column definitions { "ActorID": "the unique id for the actor", "Name": "actor's name", "Date of Birth": "actor's birth date", "Birth City": "actor's birth city", "Birth Country": "actor's birth country", "Height (Inches)": "actor's height", "Biography": "actor's biography", "Gender": "actor's gender", "Ethnicity": "actor's ethnicity", "NetWorth": "actor's networth" }*/ CREATE TABLE movie ( MovieID INTEGER constraint movie_pk primary key, Title TEXT, "MPAA Rating" TEXT, Budget INTEGER, Gross INTEGER, "Release Date" TEXT, Genre TEXT, Runtime INTEGER, Rating REAL, "Rating Count" INTEGER, Summary TEXT ) /* 1 example row: SELECT * FROM movie LIMIT 1; MovieID || Title ||MPAA Rating || Budget || Gross ||Release Date || Genre ||Runtime ||Rating ||Rating Count || Summary 1 ||Look Who's Talking || PG-13 ||7500000 ||296000000 || 1989-10-12 ||Romance || 93 || 5.9 || 73638 ||After a single, career-minded woman is left on her own to give birth to the child of a married man, she finds a new romantic chance in a cab driver. Meanwhile, the point-of-view of the newborn boy is narrated through voice-over. */ /* column definitions { "MovieID": "the unique id for the movie", "Title": "the title of the movie", "MPAA Rating": "MPAA rating of the movie", "Budget": "the budget of the movie", "Gross": "the gross of the movie", "Release Date": "release date", "Genre": "the genre of the movie", "Runtime": "the runtime of the movie", "Rating": "the rating of the movie", "Rating Count": "the number of the ratings", "Summary": "the summary of the movie" }*/ CREATE TABLE characters ( MovieID INTEGER, ActorID INTEGER, "Character Name" TEXT, creditOrder INTEGER, pay TEXT, screentime TEXT, primary key (MovieID, ActorID), foreign key (ActorID) references actor(ActorID), foreign key (MovieID) references movie(MovieID) ) /* 1 example row: SELECT * FROM characters LIMIT 1; MovieID ||ActorID ||Character Name ||creditOrder || pay ||screentime 1 || 1 || James || 1 ||None || None */ /* column definitions { "MovieID": "the unique id for the movie", "ActorID": "the unique id for the actor", "Character Name": "the name of the character", "creditOrder": "order of the character in the credit list ", "pay": "the salary of the character", "screentime": "the screentime of the character" }*/
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 actor ( ActorID INTEGER constraint actor_pk primary key, Name TEXT, "Date of Birth" DATE, "Birth City" TEXT, "Birth Country" TEXT, "Height (Inches)" INTEGER, Biography TEXT, Gender TEXT, Ethnicity TEXT, NetWorth TEXT ) /* 1 example row: SELECT * FROM actor LIMIT 1; ActorID || Name ||Date of Birth ||Birth City ||Birth Country ||Height (Inches) || Biography ||Gender ||Ethnicity || NetWorth 1 ||John Travolta || 1954-02-18 || Englewood || USA || 74 ||John Joseph Travolta was born in Englewood, New Jersey, one of six children of Helen Travolta (n�e Helen Cecilia Burke) and Salvatore/Samuel J. Travolta. His father was of Italian descent and his mother was of Irish ancestry. His father owned a tire repair shop called Travolta Tires in Hillsdale, NJ. Travolta started acting appearing in a local ... || Male || White ||$250,000,000.00 */ /* column definitions { "ActorID": "the unique id for the actor", "Name": "actor's name", "Date of Birth": "actor's birth date", "Birth City": "actor's birth city", "Birth Country": "actor's birth country", "Height (Inches)": "actor's height", "Biography": "actor's biography", "Gender": "actor's gender", "Ethnicity": "actor's ethnicity", "NetWorth": "actor's networth" }*/ CREATE TABLE movie ( MovieID INTEGER constraint movie_pk primary key, Title TEXT, "MPAA Rating" TEXT, Budget INTEGER, Gross INTEGER, "Release Date" TEXT, Genre TEXT, Runtime INTEGER, Rating REAL, "Rating Count" INTEGER, Summary TEXT ) /* 1 example row: SELECT * FROM movie LIMIT 1; MovieID || Title ||MPAA Rating || Budget || Gross ||Release Date || Genre ||Runtime ||Rating ||Rating Count || Summary 1 ||Look Who's Talking || PG-13 ||7500000 ||296000000 || 1989-10-12 ||Romance || 93 || 5.9 || 73638 ||After a single, career-minded woman is left on her own to give birth to the child of a married man, she finds a new romantic chance in a cab driver. Meanwhile, the point-of-view of the newborn boy is narrated through voice-over. */ /* column definitions { "MovieID": "the unique id for the movie", "Title": "the title of the movie", "MPAA Rating": "MPAA rating of the movie", "Budget": "the budget of the movie", "Gross": "the gross of the movie", "Release Date": "release date", "Genre": "the genre of the movie", "Runtime": "the runtime of the movie", "Rating": "the rating of the movie", "Rating Count": "the number of the ratings", "Summary": "the summary of the movie" }*/ CREATE TABLE characters ( MovieID INTEGER, ActorID INTEGER, "Character Name" TEXT, creditOrder INTEGER, pay TEXT, screentime TEXT, primary key (MovieID, ActorID), foreign key (ActorID) references actor(ActorID), foreign key (MovieID) references movie(MovieID) ) /* 1 example row: SELECT * FROM characters LIMIT 1; MovieID ||ActorID ||Character Name ||creditOrder || pay ||screentime 1 || 1 || James || 1 ||None || None */ /* column definitions { "MovieID": "the unique id for the movie", "ActorID": "the unique id for the actor", "Character Name": "the name of the character", "creditOrder": "order of the character in the credit list ", "pay": "the salary of the character", "screentime": "the screentime of the character" }*/ ### Question Please list the names of all the characters played by Tom Cruise. Clarification: played by Tom Cruise refers to name = 'Tom Cruise'
[query_database(**{'query': 'SELECT T1.`Character Name` FROM characters AS T1 INNER JOIN actor AS T2 ON T1.ActorID = T2.ActorID WHERE T2.Name = 'Tom Cruise''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE actor ( ActorID INTEGER constraint actor_pk primary key, Name TEXT, "Date of Birth" DATE, "Birth City" TEXT, "Birth Country" TEXT, "Height (Inches)" INTEGER, Biography TEXT, Gender TEXT, Ethnicity TEXT, NetWorth TEXT ) /* 1 example row: SELECT * FROM actor LIMIT 1; ActorID || Name ||Date of Birth ||Birth City ||Birth Country ||Height (Inches) || Biography ||Gender ||Ethnicity || NetWorth 1 ||John Travolta || 1954-02-18 || Englewood || USA || 74 ||John Joseph Travolta was born in Englewood, New Jersey, one of six children of Helen Travolta (n�e Helen Cecilia Burke) and Salvatore/Samuel J. Travolta. His father was of Italian descent and his mother was of Irish ancestry. His father owned a tire repair shop called Travolta Tires in Hillsdale, NJ. Travolta started acting appearing in a local ... || Male || White ||$250,000,000.00 */ /* column definitions { "ActorID": "the unique id for the actor", "Name": "actor's name", "Date of Birth": "actor's birth date", "Birth City": "actor's birth city", "Birth Country": "actor's birth country", "Height (Inches)": "actor's height", "Biography": "actor's biography", "Gender": "actor's gender", "Ethnicity": "actor's ethnicity", "NetWorth": "actor's networth" }*/ CREATE TABLE movie ( MovieID INTEGER constraint movie_pk primary key, Title TEXT, "MPAA Rating" TEXT, Budget INTEGER, Gross INTEGER, "Release Date" TEXT, Genre TEXT, Runtime INTEGER, Rating REAL, "Rating Count" INTEGER, Summary TEXT ) /* 1 example row: SELECT * FROM movie LIMIT 1; MovieID || Title ||MPAA Rating || Budget || Gross ||Release Date || Genre ||Runtime ||Rating ||Rating Count || Summary 1 ||Look Who's Talking || PG-13 ||7500000 ||296000000 || 1989-10-12 ||Romance || 93 || 5.9 || 73638 ||After a single, career-minded woman is left on her own to give birth to the child of a married man, she finds a new romantic chance in a cab driver. Meanwhile, the point-of-view of the newborn boy is narrated through voice-over. */ /* column definitions { "MovieID": "the unique id for the movie", "Title": "the title of the movie", "MPAA Rating": "MPAA rating of the movie", "Budget": "the budget of the movie", "Gross": "the gross of the movie", "Release Date": "release date", "Genre": "the genre of the movie", "Runtime": "the runtime of the movie", "Rating": "the rating of the movie", "Rating Count": "the number of the ratings", "Summary": "the summary of the movie" }*/ CREATE TABLE characters ( MovieID INTEGER, ActorID INTEGER, "Character Name" TEXT, creditOrder INTEGER, pay TEXT, screentime TEXT, primary key (MovieID, ActorID), foreign key (ActorID) references actor(ActorID), foreign key (MovieID) references movie(MovieID) ) /* 1 example row: SELECT * FROM characters LIMIT 1; MovieID ||ActorID ||Character Name ||creditOrder || pay ||screentime 1 || 1 || James || 1 ||None || None */ /* column definitions { "MovieID": "the unique id for the movie", "ActorID": "the unique id for the actor", "Character Name": "the name of the character", "creditOrder": "order of the character in the credit list ", "pay": "the salary of the character", "screentime": "the screentime of the character" }*/
742
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE actor ( ActorID INTEGER constraint actor_pk primary key, Name TEXT, "Date of Birth" DATE, "Birth City" TEXT, "Birth Country" TEXT, "Height (Inches)" INTEGER, Biography TEXT, Gender TEXT, Ethnicity TEXT, NetWorth TEXT ) /* 1 example row: SELECT * FROM actor LIMIT 1; ActorID || Name ||Date of Birth ||Birth City ||Birth Country ||Height (Inches) || Biography ||Gender ||Ethnicity || NetWorth 1 ||John Travolta || 1954-02-18 || Englewood || USA || 74 ||John Joseph Travolta was born in Englewood, New Jersey, one of six children of Helen Travolta (n�e Helen Cecilia Burke) and Salvatore/Samuel J. Travolta. His father was of Italian descent and his mother was of Irish ancestry. His father owned a tire repair shop called Travolta Tires in Hillsdale, NJ. Travolta started acting appearing in a local ... || Male || White ||$250,000,000.00 */ /* column definitions { "ActorID": "the unique id for the actor", "Name": "actor's name", "Date of Birth": "actor's birth date", "Birth City": "actor's birth city", "Birth Country": "actor's birth country", "Height (Inches)": "actor's height", "Biography": "actor's biography", "Gender": "actor's gender", "Ethnicity": "actor's ethnicity", "NetWorth": "actor's networth" }*/ CREATE TABLE movie ( MovieID INTEGER constraint movie_pk primary key, Title TEXT, "MPAA Rating" TEXT, Budget INTEGER, Gross INTEGER, "Release Date" TEXT, Genre TEXT, Runtime INTEGER, Rating REAL, "Rating Count" INTEGER, Summary TEXT ) /* 1 example row: SELECT * FROM movie LIMIT 1; MovieID || Title ||MPAA Rating || Budget || Gross ||Release Date || Genre ||Runtime ||Rating ||Rating Count || Summary 1 ||Look Who's Talking || PG-13 ||7500000 ||296000000 || 1989-10-12 ||Romance || 93 || 5.9 || 73638 ||After a single, career-minded woman is left on her own to give birth to the child of a married man, she finds a new romantic chance in a cab driver. Meanwhile, the point-of-view of the newborn boy is narrated through voice-over. */ /* column definitions { "MovieID": "the unique id for the movie", "Title": "the title of the movie", "MPAA Rating": "MPAA rating of the movie", "Budget": "the budget of the movie", "Gross": "the gross of the movie", "Release Date": "release date", "Genre": "the genre of the movie", "Runtime": "the runtime of the movie", "Rating": "the rating of the movie", "Rating Count": "the number of the ratings", "Summary": "the summary of the movie" }*/ CREATE TABLE characters ( MovieID INTEGER, ActorID INTEGER, "Character Name" TEXT, creditOrder INTEGER, pay TEXT, screentime TEXT, primary key (MovieID, ActorID), foreign key (ActorID) references actor(ActorID), foreign key (MovieID) references movie(MovieID) ) /* 1 example row: SELECT * FROM characters LIMIT 1; MovieID ||ActorID ||Character Name ||creditOrder || pay ||screentime 1 || 1 || James || 1 ||None || None */ /* column definitions { "MovieID": "the unique id for the movie", "ActorID": "the unique id for the actor", "Character Name": "the name of the character", "creditOrder": "order of the character in the credit list ", "pay": "the salary of the character", "screentime": "the screentime of the character" }*/ ### Question What is the average rating of all the movies starring Tom Cruise? Clarification: starring Tom Cruise refers to name = 'Tom Cruise'; average rating = divide(sum(rating where name = 'Tom Cruise'), count(movieid where name = 'Tom Cruise'))
[query_database(**{'query': 'SELECT AVG(T1.Rating) FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID INNER JOIN actor AS T3 ON T3.ActorID = T2.ActorID WHERE T3.Name = 'Tom Cruise''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE actor ( ActorID INTEGER constraint actor_pk primary key, Name TEXT, "Date of Birth" DATE, "Birth City" TEXT, "Birth Country" TEXT, "Height (Inches)" INTEGER, Biography TEXT, Gender TEXT, Ethnicity TEXT, NetWorth TEXT ) /* 1 example row: SELECT * FROM actor LIMIT 1; ActorID || Name ||Date of Birth ||Birth City ||Birth Country ||Height (Inches) || Biography ||Gender ||Ethnicity || NetWorth 1 ||John Travolta || 1954-02-18 || Englewood || USA || 74 ||John Joseph Travolta was born in Englewood, New Jersey, one of six children of Helen Travolta (n�e Helen Cecilia Burke) and Salvatore/Samuel J. Travolta. His father was of Italian descent and his mother was of Irish ancestry. His father owned a tire repair shop called Travolta Tires in Hillsdale, NJ. Travolta started acting appearing in a local ... || Male || White ||$250,000,000.00 */ /* column definitions { "ActorID": "the unique id for the actor", "Name": "actor's name", "Date of Birth": "actor's birth date", "Birth City": "actor's birth city", "Birth Country": "actor's birth country", "Height (Inches)": "actor's height", "Biography": "actor's biography", "Gender": "actor's gender", "Ethnicity": "actor's ethnicity", "NetWorth": "actor's networth" }*/ CREATE TABLE movie ( MovieID INTEGER constraint movie_pk primary key, Title TEXT, "MPAA Rating" TEXT, Budget INTEGER, Gross INTEGER, "Release Date" TEXT, Genre TEXT, Runtime INTEGER, Rating REAL, "Rating Count" INTEGER, Summary TEXT ) /* 1 example row: SELECT * FROM movie LIMIT 1; MovieID || Title ||MPAA Rating || Budget || Gross ||Release Date || Genre ||Runtime ||Rating ||Rating Count || Summary 1 ||Look Who's Talking || PG-13 ||7500000 ||296000000 || 1989-10-12 ||Romance || 93 || 5.9 || 73638 ||After a single, career-minded woman is left on her own to give birth to the child of a married man, she finds a new romantic chance in a cab driver. Meanwhile, the point-of-view of the newborn boy is narrated through voice-over. */ /* column definitions { "MovieID": "the unique id for the movie", "Title": "the title of the movie", "MPAA Rating": "MPAA rating of the movie", "Budget": "the budget of the movie", "Gross": "the gross of the movie", "Release Date": "release date", "Genre": "the genre of the movie", "Runtime": "the runtime of the movie", "Rating": "the rating of the movie", "Rating Count": "the number of the ratings", "Summary": "the summary of the movie" }*/ CREATE TABLE characters ( MovieID INTEGER, ActorID INTEGER, "Character Name" TEXT, creditOrder INTEGER, pay TEXT, screentime TEXT, primary key (MovieID, ActorID), foreign key (ActorID) references actor(ActorID), foreign key (MovieID) references movie(MovieID) ) /* 1 example row: SELECT * FROM characters LIMIT 1; MovieID ||ActorID ||Character Name ||creditOrder || pay ||screentime 1 || 1 || James || 1 ||None || None */ /* column definitions { "MovieID": "the unique id for the movie", "ActorID": "the unique id for the actor", "Character Name": "the name of the character", "creditOrder": "order of the character in the credit list ", "pay": "the salary of the character", "screentime": "the screentime of the character" }*/
746
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE actor ( ActorID INTEGER constraint actor_pk primary key, Name TEXT, "Date of Birth" DATE, "Birth City" TEXT, "Birth Country" TEXT, "Height (Inches)" INTEGER, Biography TEXT, Gender TEXT, Ethnicity TEXT, NetWorth TEXT ) /* 1 example row: SELECT * FROM actor LIMIT 1; ActorID || Name ||Date of Birth ||Birth City ||Birth Country ||Height (Inches) || Biography ||Gender ||Ethnicity || NetWorth 1 ||John Travolta || 1954-02-18 || Englewood || USA || 74 ||John Joseph Travolta was born in Englewood, New Jersey, one of six children of Helen Travolta (n�e Helen Cecilia Burke) and Salvatore/Samuel J. Travolta. His father was of Italian descent and his mother was of Irish ancestry. His father owned a tire repair shop called Travolta Tires in Hillsdale, NJ. Travolta started acting appearing in a local ... || Male || White ||$250,000,000.00 */ /* column definitions { "ActorID": "the unique id for the actor", "Name": "actor's name", "Date of Birth": "actor's birth date", "Birth City": "actor's birth city", "Birth Country": "actor's birth country", "Height (Inches)": "actor's height", "Biography": "actor's biography", "Gender": "actor's gender", "Ethnicity": "actor's ethnicity", "NetWorth": "actor's networth" }*/ CREATE TABLE movie ( MovieID INTEGER constraint movie_pk primary key, Title TEXT, "MPAA Rating" TEXT, Budget INTEGER, Gross INTEGER, "Release Date" TEXT, Genre TEXT, Runtime INTEGER, Rating REAL, "Rating Count" INTEGER, Summary TEXT ) /* 1 example row: SELECT * FROM movie LIMIT 1; MovieID || Title ||MPAA Rating || Budget || Gross ||Release Date || Genre ||Runtime ||Rating ||Rating Count || Summary 1 ||Look Who's Talking || PG-13 ||7500000 ||296000000 || 1989-10-12 ||Romance || 93 || 5.9 || 73638 ||After a single, career-minded woman is left on her own to give birth to the child of a married man, she finds a new romantic chance in a cab driver. Meanwhile, the point-of-view of the newborn boy is narrated through voice-over. */ /* column definitions { "MovieID": "the unique id for the movie", "Title": "the title of the movie", "MPAA Rating": "MPAA rating of the movie", "Budget": "the budget of the movie", "Gross": "the gross of the movie", "Release Date": "release date", "Genre": "the genre of the movie", "Runtime": "the runtime of the movie", "Rating": "the rating of the movie", "Rating Count": "the number of the ratings", "Summary": "the summary of the movie" }*/ CREATE TABLE characters ( MovieID INTEGER, ActorID INTEGER, "Character Name" TEXT, creditOrder INTEGER, pay TEXT, screentime TEXT, primary key (MovieID, ActorID), foreign key (ActorID) references actor(ActorID), foreign key (MovieID) references movie(MovieID) ) /* 1 example row: SELECT * FROM characters LIMIT 1; MovieID ||ActorID ||Character Name ||creditOrder || pay ||screentime 1 || 1 || James || 1 ||None || None */ /* column definitions { "MovieID": "the unique id for the movie", "ActorID": "the unique id for the actor", "Character Name": "the name of the character", "creditOrder": "order of the character in the credit list ", "pay": "the salary of the character", "screentime": "the screentime of the character" }*/ ### Question Give the name of the No.1 character in the credit list from the highest rating thriller movie. Clarification: No.1 character in the credit list refers to creditOrder = '1'; highest rating refers to max(rating); thriller movie refers to Genre = 'Thriller'
[query_database(**{'query': 'SELECT T2.`Character Name` FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID WHERE T2.creditOrder = '1' AND T1.Genre = 'Thriller' ORDER BY T1.Rating DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE actor ( ActorID INTEGER constraint actor_pk primary key, Name TEXT, "Date of Birth" DATE, "Birth City" TEXT, "Birth Country" TEXT, "Height (Inches)" INTEGER, Biography TEXT, Gender TEXT, Ethnicity TEXT, NetWorth TEXT ) /* 1 example row: SELECT * FROM actor LIMIT 1; ActorID || Name ||Date of Birth ||Birth City ||Birth Country ||Height (Inches) || Biography ||Gender ||Ethnicity || NetWorth 1 ||John Travolta || 1954-02-18 || Englewood || USA || 74 ||John Joseph Travolta was born in Englewood, New Jersey, one of six children of Helen Travolta (n�e Helen Cecilia Burke) and Salvatore/Samuel J. Travolta. His father was of Italian descent and his mother was of Irish ancestry. His father owned a tire repair shop called Travolta Tires in Hillsdale, NJ. Travolta started acting appearing in a local ... || Male || White ||$250,000,000.00 */ /* column definitions { "ActorID": "the unique id for the actor", "Name": "actor's name", "Date of Birth": "actor's birth date", "Birth City": "actor's birth city", "Birth Country": "actor's birth country", "Height (Inches)": "actor's height", "Biography": "actor's biography", "Gender": "actor's gender", "Ethnicity": "actor's ethnicity", "NetWorth": "actor's networth" }*/ CREATE TABLE movie ( MovieID INTEGER constraint movie_pk primary key, Title TEXT, "MPAA Rating" TEXT, Budget INTEGER, Gross INTEGER, "Release Date" TEXT, Genre TEXT, Runtime INTEGER, Rating REAL, "Rating Count" INTEGER, Summary TEXT ) /* 1 example row: SELECT * FROM movie LIMIT 1; MovieID || Title ||MPAA Rating || Budget || Gross ||Release Date || Genre ||Runtime ||Rating ||Rating Count || Summary 1 ||Look Who's Talking || PG-13 ||7500000 ||296000000 || 1989-10-12 ||Romance || 93 || 5.9 || 73638 ||After a single, career-minded woman is left on her own to give birth to the child of a married man, she finds a new romantic chance in a cab driver. Meanwhile, the point-of-view of the newborn boy is narrated through voice-over. */ /* column definitions { "MovieID": "the unique id for the movie", "Title": "the title of the movie", "MPAA Rating": "MPAA rating of the movie", "Budget": "the budget of the movie", "Gross": "the gross of the movie", "Release Date": "release date", "Genre": "the genre of the movie", "Runtime": "the runtime of the movie", "Rating": "the rating of the movie", "Rating Count": "the number of the ratings", "Summary": "the summary of the movie" }*/ CREATE TABLE characters ( MovieID INTEGER, ActorID INTEGER, "Character Name" TEXT, creditOrder INTEGER, pay TEXT, screentime TEXT, primary key (MovieID, ActorID), foreign key (ActorID) references actor(ActorID), foreign key (MovieID) references movie(MovieID) ) /* 1 example row: SELECT * FROM characters LIMIT 1; MovieID ||ActorID ||Character Name ||creditOrder || pay ||screentime 1 || 1 || James || 1 ||None || None */ /* column definitions { "MovieID": "the unique id for the movie", "ActorID": "the unique id for the actor", "Character Name": "the name of the character", "creditOrder": "order of the character in the credit list ", "pay": "the salary of the character", "screentime": "the screentime of the character" }*/
750
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE actor ( ActorID INTEGER constraint actor_pk primary key, Name TEXT, "Date of Birth" DATE, "Birth City" TEXT, "Birth Country" TEXT, "Height (Inches)" INTEGER, Biography TEXT, Gender TEXT, Ethnicity TEXT, NetWorth TEXT ) /* 1 example row: SELECT * FROM actor LIMIT 1; ActorID || Name ||Date of Birth ||Birth City ||Birth Country ||Height (Inches) || Biography ||Gender ||Ethnicity || NetWorth 1 ||John Travolta || 1954-02-18 || Englewood || USA || 74 ||John Joseph Travolta was born in Englewood, New Jersey, one of six children of Helen Travolta (n�e Helen Cecilia Burke) and Salvatore/Samuel J. Travolta. His father was of Italian descent and his mother was of Irish ancestry. His father owned a tire repair shop called Travolta Tires in Hillsdale, NJ. Travolta started acting appearing in a local ... || Male || White ||$250,000,000.00 */ /* column definitions { "ActorID": "the unique id for the actor", "Name": "actor's name", "Date of Birth": "actor's birth date", "Birth City": "actor's birth city", "Birth Country": "actor's birth country", "Height (Inches)": "actor's height", "Biography": "actor's biography", "Gender": "actor's gender", "Ethnicity": "actor's ethnicity", "NetWorth": "actor's networth" }*/ CREATE TABLE movie ( MovieID INTEGER constraint movie_pk primary key, Title TEXT, "MPAA Rating" TEXT, Budget INTEGER, Gross INTEGER, "Release Date" TEXT, Genre TEXT, Runtime INTEGER, Rating REAL, "Rating Count" INTEGER, Summary TEXT ) /* 1 example row: SELECT * FROM movie LIMIT 1; MovieID || Title ||MPAA Rating || Budget || Gross ||Release Date || Genre ||Runtime ||Rating ||Rating Count || Summary 1 ||Look Who's Talking || PG-13 ||7500000 ||296000000 || 1989-10-12 ||Romance || 93 || 5.9 || 73638 ||After a single, career-minded woman is left on her own to give birth to the child of a married man, she finds a new romantic chance in a cab driver. Meanwhile, the point-of-view of the newborn boy is narrated through voice-over. */ /* column definitions { "MovieID": "the unique id for the movie", "Title": "the title of the movie", "MPAA Rating": "MPAA rating of the movie", "Budget": "the budget of the movie", "Gross": "the gross of the movie", "Release Date": "release date", "Genre": "the genre of the movie", "Runtime": "the runtime of the movie", "Rating": "the rating of the movie", "Rating Count": "the number of the ratings", "Summary": "the summary of the movie" }*/ CREATE TABLE characters ( MovieID INTEGER, ActorID INTEGER, "Character Name" TEXT, creditOrder INTEGER, pay TEXT, screentime TEXT, primary key (MovieID, ActorID), foreign key (ActorID) references actor(ActorID), foreign key (MovieID) references movie(MovieID) ) /* 1 example row: SELECT * FROM characters LIMIT 1; MovieID ||ActorID ||Character Name ||creditOrder || pay ||screentime 1 || 1 || James || 1 ||None || None */ /* column definitions { "MovieID": "the unique id for the movie", "ActorID": "the unique id for the actor", "Character Name": "the name of the character", "creditOrder": "order of the character in the credit list ", "pay": "the salary of the character", "screentime": "the screentime of the character" }*/ ### Question When is the birthday of the actor who played "Sully"? Clarification: birthday refers to Date of Birth; "Sully" refers to Character Name = 'Sully'
[query_database(**{'query': 'SELECT T2.`Date of Birth` FROM characters AS T1 INNER JOIN actor AS T2 ON T1.ActorID = T2.ActorID WHERE T1.`Character Name` = 'Sully''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE actor ( ActorID INTEGER constraint actor_pk primary key, Name TEXT, "Date of Birth" DATE, "Birth City" TEXT, "Birth Country" TEXT, "Height (Inches)" INTEGER, Biography TEXT, Gender TEXT, Ethnicity TEXT, NetWorth TEXT ) /* 1 example row: SELECT * FROM actor LIMIT 1; ActorID || Name ||Date of Birth ||Birth City ||Birth Country ||Height (Inches) || Biography ||Gender ||Ethnicity || NetWorth 1 ||John Travolta || 1954-02-18 || Englewood || USA || 74 ||John Joseph Travolta was born in Englewood, New Jersey, one of six children of Helen Travolta (n�e Helen Cecilia Burke) and Salvatore/Samuel J. Travolta. His father was of Italian descent and his mother was of Irish ancestry. His father owned a tire repair shop called Travolta Tires in Hillsdale, NJ. Travolta started acting appearing in a local ... || Male || White ||$250,000,000.00 */ /* column definitions { "ActorID": "the unique id for the actor", "Name": "actor's name", "Date of Birth": "actor's birth date", "Birth City": "actor's birth city", "Birth Country": "actor's birth country", "Height (Inches)": "actor's height", "Biography": "actor's biography", "Gender": "actor's gender", "Ethnicity": "actor's ethnicity", "NetWorth": "actor's networth" }*/ CREATE TABLE movie ( MovieID INTEGER constraint movie_pk primary key, Title TEXT, "MPAA Rating" TEXT, Budget INTEGER, Gross INTEGER, "Release Date" TEXT, Genre TEXT, Runtime INTEGER, Rating REAL, "Rating Count" INTEGER, Summary TEXT ) /* 1 example row: SELECT * FROM movie LIMIT 1; MovieID || Title ||MPAA Rating || Budget || Gross ||Release Date || Genre ||Runtime ||Rating ||Rating Count || Summary 1 ||Look Who's Talking || PG-13 ||7500000 ||296000000 || 1989-10-12 ||Romance || 93 || 5.9 || 73638 ||After a single, career-minded woman is left on her own to give birth to the child of a married man, she finds a new romantic chance in a cab driver. Meanwhile, the point-of-view of the newborn boy is narrated through voice-over. */ /* column definitions { "MovieID": "the unique id for the movie", "Title": "the title of the movie", "MPAA Rating": "MPAA rating of the movie", "Budget": "the budget of the movie", "Gross": "the gross of the movie", "Release Date": "release date", "Genre": "the genre of the movie", "Runtime": "the runtime of the movie", "Rating": "the rating of the movie", "Rating Count": "the number of the ratings", "Summary": "the summary of the movie" }*/ CREATE TABLE characters ( MovieID INTEGER, ActorID INTEGER, "Character Name" TEXT, creditOrder INTEGER, pay TEXT, screentime TEXT, primary key (MovieID, ActorID), foreign key (ActorID) references actor(ActorID), foreign key (MovieID) references movie(MovieID) ) /* 1 example row: SELECT * FROM characters LIMIT 1; MovieID ||ActorID ||Character Name ||creditOrder || pay ||screentime 1 || 1 || James || 1 ||None || None */ /* column definitions { "MovieID": "the unique id for the movie", "ActorID": "the unique id for the actor", "Character Name": "the name of the character", "creditOrder": "order of the character in the credit list ", "pay": "the salary of the character", "screentime": "the screentime of the character" }*/
754
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE actor ( ActorID INTEGER constraint actor_pk primary key, Name TEXT, "Date of Birth" DATE, "Birth City" TEXT, "Birth Country" TEXT, "Height (Inches)" INTEGER, Biography TEXT, Gender TEXT, Ethnicity TEXT, NetWorth TEXT ) /* 1 example row: SELECT * FROM actor LIMIT 1; ActorID || Name ||Date of Birth ||Birth City ||Birth Country ||Height (Inches) || Biography ||Gender ||Ethnicity || NetWorth 1 ||John Travolta || 1954-02-18 || Englewood || USA || 74 ||John Joseph Travolta was born in Englewood, New Jersey, one of six children of Helen Travolta (n�e Helen Cecilia Burke) and Salvatore/Samuel J. Travolta. His father was of Italian descent and his mother was of Irish ancestry. His father owned a tire repair shop called Travolta Tires in Hillsdale, NJ. Travolta started acting appearing in a local ... || Male || White ||$250,000,000.00 */ /* column definitions { "ActorID": "the unique id for the actor", "Name": "actor's name", "Date of Birth": "actor's birth date", "Birth City": "actor's birth city", "Birth Country": "actor's birth country", "Height (Inches)": "actor's height", "Biography": "actor's biography", "Gender": "actor's gender", "Ethnicity": "actor's ethnicity", "NetWorth": "actor's networth" }*/ CREATE TABLE movie ( MovieID INTEGER constraint movie_pk primary key, Title TEXT, "MPAA Rating" TEXT, Budget INTEGER, Gross INTEGER, "Release Date" TEXT, Genre TEXT, Runtime INTEGER, Rating REAL, "Rating Count" INTEGER, Summary TEXT ) /* 1 example row: SELECT * FROM movie LIMIT 1; MovieID || Title ||MPAA Rating || Budget || Gross ||Release Date || Genre ||Runtime ||Rating ||Rating Count || Summary 1 ||Look Who's Talking || PG-13 ||7500000 ||296000000 || 1989-10-12 ||Romance || 93 || 5.9 || 73638 ||After a single, career-minded woman is left on her own to give birth to the child of a married man, she finds a new romantic chance in a cab driver. Meanwhile, the point-of-view of the newborn boy is narrated through voice-over. */ /* column definitions { "MovieID": "the unique id for the movie", "Title": "the title of the movie", "MPAA Rating": "MPAA rating of the movie", "Budget": "the budget of the movie", "Gross": "the gross of the movie", "Release Date": "release date", "Genre": "the genre of the movie", "Runtime": "the runtime of the movie", "Rating": "the rating of the movie", "Rating Count": "the number of the ratings", "Summary": "the summary of the movie" }*/ CREATE TABLE characters ( MovieID INTEGER, ActorID INTEGER, "Character Name" TEXT, creditOrder INTEGER, pay TEXT, screentime TEXT, primary key (MovieID, ActorID), foreign key (ActorID) references actor(ActorID), foreign key (MovieID) references movie(MovieID) ) /* 1 example row: SELECT * FROM characters LIMIT 1; MovieID ||ActorID ||Character Name ||creditOrder || pay ||screentime 1 || 1 || James || 1 ||None || None */ /* column definitions { "MovieID": "the unique id for the movie", "ActorID": "the unique id for the actor", "Character Name": "the name of the character", "creditOrder": "order of the character in the credit list ", "pay": "the salary of the character", "screentime": "the screentime of the character" }*/ ### Question Show the No.3 character name in the credit list of the movie "G.I. Joe: The Rise of Cobra". Clarification: No.3 character refers to creditOrder = '3'; movie "G.I. Joe: The Rise of Cobra" refers to Title = 'G.I. Joe: The Rise of Cobra'
[query_database(**{'query': 'SELECT T2.`Character Name` FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID WHERE T1.Title = 'G.I. Joe: The Rise of Cobra' AND T2.creditOrder = '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 actor ( ActorID INTEGER constraint actor_pk primary key, Name TEXT, "Date of Birth" DATE, "Birth City" TEXT, "Birth Country" TEXT, "Height (Inches)" INTEGER, Biography TEXT, Gender TEXT, Ethnicity TEXT, NetWorth TEXT ) /* 1 example row: SELECT * FROM actor LIMIT 1; ActorID || Name ||Date of Birth ||Birth City ||Birth Country ||Height (Inches) || Biography ||Gender ||Ethnicity || NetWorth 1 ||John Travolta || 1954-02-18 || Englewood || USA || 74 ||John Joseph Travolta was born in Englewood, New Jersey, one of six children of Helen Travolta (n�e Helen Cecilia Burke) and Salvatore/Samuel J. Travolta. His father was of Italian descent and his mother was of Irish ancestry. His father owned a tire repair shop called Travolta Tires in Hillsdale, NJ. Travolta started acting appearing in a local ... || Male || White ||$250,000,000.00 */ /* column definitions { "ActorID": "the unique id for the actor", "Name": "actor's name", "Date of Birth": "actor's birth date", "Birth City": "actor's birth city", "Birth Country": "actor's birth country", "Height (Inches)": "actor's height", "Biography": "actor's biography", "Gender": "actor's gender", "Ethnicity": "actor's ethnicity", "NetWorth": "actor's networth" }*/ CREATE TABLE movie ( MovieID INTEGER constraint movie_pk primary key, Title TEXT, "MPAA Rating" TEXT, Budget INTEGER, Gross INTEGER, "Release Date" TEXT, Genre TEXT, Runtime INTEGER, Rating REAL, "Rating Count" INTEGER, Summary TEXT ) /* 1 example row: SELECT * FROM movie LIMIT 1; MovieID || Title ||MPAA Rating || Budget || Gross ||Release Date || Genre ||Runtime ||Rating ||Rating Count || Summary 1 ||Look Who's Talking || PG-13 ||7500000 ||296000000 || 1989-10-12 ||Romance || 93 || 5.9 || 73638 ||After a single, career-minded woman is left on her own to give birth to the child of a married man, she finds a new romantic chance in a cab driver. Meanwhile, the point-of-view of the newborn boy is narrated through voice-over. */ /* column definitions { "MovieID": "the unique id for the movie", "Title": "the title of the movie", "MPAA Rating": "MPAA rating of the movie", "Budget": "the budget of the movie", "Gross": "the gross of the movie", "Release Date": "release date", "Genre": "the genre of the movie", "Runtime": "the runtime of the movie", "Rating": "the rating of the movie", "Rating Count": "the number of the ratings", "Summary": "the summary of the movie" }*/ CREATE TABLE characters ( MovieID INTEGER, ActorID INTEGER, "Character Name" TEXT, creditOrder INTEGER, pay TEXT, screentime TEXT, primary key (MovieID, ActorID), foreign key (ActorID) references actor(ActorID), foreign key (MovieID) references movie(MovieID) ) /* 1 example row: SELECT * FROM characters LIMIT 1; MovieID ||ActorID ||Character Name ||creditOrder || pay ||screentime 1 || 1 || James || 1 ||None || None */ /* column definitions { "MovieID": "the unique id for the movie", "ActorID": "the unique id for the actor", "Character Name": "the name of the character", "creditOrder": "order of the character in the credit list ", "pay": "the salary of the character", "screentime": "the screentime of the character" }*/
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 actor ( ActorID INTEGER constraint actor_pk primary key, Name TEXT, "Date of Birth" DATE, "Birth City" TEXT, "Birth Country" TEXT, "Height (Inches)" INTEGER, Biography TEXT, Gender TEXT, Ethnicity TEXT, NetWorth TEXT ) /* 1 example row: SELECT * FROM actor LIMIT 1; ActorID || Name ||Date of Birth ||Birth City ||Birth Country ||Height (Inches) || Biography ||Gender ||Ethnicity || NetWorth 1 ||John Travolta || 1954-02-18 || Englewood || USA || 74 ||John Joseph Travolta was born in Englewood, New Jersey, one of six children of Helen Travolta (n�e Helen Cecilia Burke) and Salvatore/Samuel J. Travolta. His father was of Italian descent and his mother was of Irish ancestry. His father owned a tire repair shop called Travolta Tires in Hillsdale, NJ. Travolta started acting appearing in a local ... || Male || White ||$250,000,000.00 */ /* column definitions { "ActorID": "the unique id for the actor", "Name": "actor's name", "Date of Birth": "actor's birth date", "Birth City": "actor's birth city", "Birth Country": "actor's birth country", "Height (Inches)": "actor's height", "Biography": "actor's biography", "Gender": "actor's gender", "Ethnicity": "actor's ethnicity", "NetWorth": "actor's networth" }*/ CREATE TABLE movie ( MovieID INTEGER constraint movie_pk primary key, Title TEXT, "MPAA Rating" TEXT, Budget INTEGER, Gross INTEGER, "Release Date" TEXT, Genre TEXT, Runtime INTEGER, Rating REAL, "Rating Count" INTEGER, Summary TEXT ) /* 1 example row: SELECT * FROM movie LIMIT 1; MovieID || Title ||MPAA Rating || Budget || Gross ||Release Date || Genre ||Runtime ||Rating ||Rating Count || Summary 1 ||Look Who's Talking || PG-13 ||7500000 ||296000000 || 1989-10-12 ||Romance || 93 || 5.9 || 73638 ||After a single, career-minded woman is left on her own to give birth to the child of a married man, she finds a new romantic chance in a cab driver. Meanwhile, the point-of-view of the newborn boy is narrated through voice-over. */ /* column definitions { "MovieID": "the unique id for the movie", "Title": "the title of the movie", "MPAA Rating": "MPAA rating of the movie", "Budget": "the budget of the movie", "Gross": "the gross of the movie", "Release Date": "release date", "Genre": "the genre of the movie", "Runtime": "the runtime of the movie", "Rating": "the rating of the movie", "Rating Count": "the number of the ratings", "Summary": "the summary of the movie" }*/ CREATE TABLE characters ( MovieID INTEGER, ActorID INTEGER, "Character Name" TEXT, creditOrder INTEGER, pay TEXT, screentime TEXT, primary key (MovieID, ActorID), foreign key (ActorID) references actor(ActorID), foreign key (MovieID) references movie(MovieID) ) /* 1 example row: SELECT * FROM characters LIMIT 1; MovieID ||ActorID ||Character Name ||creditOrder || pay ||screentime 1 || 1 || James || 1 ||None || None */ /* column definitions { "MovieID": "the unique id for the movie", "ActorID": "the unique id for the actor", "Character Name": "the name of the character", "creditOrder": "order of the character in the credit list ", "pay": "the salary of the character", "screentime": "the screentime of the character" }*/ ### Question List down the movie ID of movie with a budget of 15000000 and a rating between 7 to 8. Clarification: a budget of 15000000 refers to Budget = 15000000; rating between 7 to 8 refers to Rating BETWEEN 7 and 8
[query_database(**{'query': 'SELECT MovieID FROM movie WHERE Rating BETWEEN 7 AND 8 AND Budget = 15000000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE actor ( ActorID INTEGER constraint actor_pk primary key, Name TEXT, "Date of Birth" DATE, "Birth City" TEXT, "Birth Country" TEXT, "Height (Inches)" INTEGER, Biography TEXT, Gender TEXT, Ethnicity TEXT, NetWorth TEXT ) /* 1 example row: SELECT * FROM actor LIMIT 1; ActorID || Name ||Date of Birth ||Birth City ||Birth Country ||Height (Inches) || Biography ||Gender ||Ethnicity || NetWorth 1 ||John Travolta || 1954-02-18 || Englewood || USA || 74 ||John Joseph Travolta was born in Englewood, New Jersey, one of six children of Helen Travolta (n�e Helen Cecilia Burke) and Salvatore/Samuel J. Travolta. His father was of Italian descent and his mother was of Irish ancestry. His father owned a tire repair shop called Travolta Tires in Hillsdale, NJ. Travolta started acting appearing in a local ... || Male || White ||$250,000,000.00 */ /* column definitions { "ActorID": "the unique id for the actor", "Name": "actor's name", "Date of Birth": "actor's birth date", "Birth City": "actor's birth city", "Birth Country": "actor's birth country", "Height (Inches)": "actor's height", "Biography": "actor's biography", "Gender": "actor's gender", "Ethnicity": "actor's ethnicity", "NetWorth": "actor's networth" }*/ CREATE TABLE movie ( MovieID INTEGER constraint movie_pk primary key, Title TEXT, "MPAA Rating" TEXT, Budget INTEGER, Gross INTEGER, "Release Date" TEXT, Genre TEXT, Runtime INTEGER, Rating REAL, "Rating Count" INTEGER, Summary TEXT ) /* 1 example row: SELECT * FROM movie LIMIT 1; MovieID || Title ||MPAA Rating || Budget || Gross ||Release Date || Genre ||Runtime ||Rating ||Rating Count || Summary 1 ||Look Who's Talking || PG-13 ||7500000 ||296000000 || 1989-10-12 ||Romance || 93 || 5.9 || 73638 ||After a single, career-minded woman is left on her own to give birth to the child of a married man, she finds a new romantic chance in a cab driver. Meanwhile, the point-of-view of the newborn boy is narrated through voice-over. */ /* column definitions { "MovieID": "the unique id for the movie", "Title": "the title of the movie", "MPAA Rating": "MPAA rating of the movie", "Budget": "the budget of the movie", "Gross": "the gross of the movie", "Release Date": "release date", "Genre": "the genre of the movie", "Runtime": "the runtime of the movie", "Rating": "the rating of the movie", "Rating Count": "the number of the ratings", "Summary": "the summary of the movie" }*/ CREATE TABLE characters ( MovieID INTEGER, ActorID INTEGER, "Character Name" TEXT, creditOrder INTEGER, pay TEXT, screentime TEXT, primary key (MovieID, ActorID), foreign key (ActorID) references actor(ActorID), foreign key (MovieID) references movie(MovieID) ) /* 1 example row: SELECT * FROM characters LIMIT 1; MovieID ||ActorID ||Character Name ||creditOrder || pay ||screentime 1 || 1 || James || 1 ||None || None */ /* column definitions { "MovieID": "the unique id for the movie", "ActorID": "the unique id for the actor", "Character Name": "the name of the character", "creditOrder": "order of the character in the credit list ", "pay": "the salary of the character", "screentime": "the screentime of the character" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE actor ( ActorID INTEGER constraint actor_pk primary key, Name TEXT, "Date of Birth" DATE, "Birth City" TEXT, "Birth Country" TEXT, "Height (Inches)" INTEGER, Biography TEXT, Gender TEXT, Ethnicity TEXT, NetWorth TEXT ) /* 1 example row: SELECT * FROM actor LIMIT 1; ActorID || Name ||Date of Birth ||Birth City ||Birth Country ||Height (Inches) || Biography ||Gender ||Ethnicity || NetWorth 1 ||John Travolta || 1954-02-18 || Englewood || USA || 74 ||John Joseph Travolta was born in Englewood, New Jersey, one of six children of Helen Travolta (n�e Helen Cecilia Burke) and Salvatore/Samuel J. Travolta. His father was of Italian descent and his mother was of Irish ancestry. His father owned a tire repair shop called Travolta Tires in Hillsdale, NJ. Travolta started acting appearing in a local ... || Male || White ||$250,000,000.00 */ /* column definitions { "ActorID": "the unique id for the actor", "Name": "actor's name", "Date of Birth": "actor's birth date", "Birth City": "actor's birth city", "Birth Country": "actor's birth country", "Height (Inches)": "actor's height", "Biography": "actor's biography", "Gender": "actor's gender", "Ethnicity": "actor's ethnicity", "NetWorth": "actor's networth" }*/ CREATE TABLE movie ( MovieID INTEGER constraint movie_pk primary key, Title TEXT, "MPAA Rating" TEXT, Budget INTEGER, Gross INTEGER, "Release Date" TEXT, Genre TEXT, Runtime INTEGER, Rating REAL, "Rating Count" INTEGER, Summary TEXT ) /* 1 example row: SELECT * FROM movie LIMIT 1; MovieID || Title ||MPAA Rating || Budget || Gross ||Release Date || Genre ||Runtime ||Rating ||Rating Count || Summary 1 ||Look Who's Talking || PG-13 ||7500000 ||296000000 || 1989-10-12 ||Romance || 93 || 5.9 || 73638 ||After a single, career-minded woman is left on her own to give birth to the child of a married man, she finds a new romantic chance in a cab driver. Meanwhile, the point-of-view of the newborn boy is narrated through voice-over. */ /* column definitions { "MovieID": "the unique id for the movie", "Title": "the title of the movie", "MPAA Rating": "MPAA rating of the movie", "Budget": "the budget of the movie", "Gross": "the gross of the movie", "Release Date": "release date", "Genre": "the genre of the movie", "Runtime": "the runtime of the movie", "Rating": "the rating of the movie", "Rating Count": "the number of the ratings", "Summary": "the summary of the movie" }*/ CREATE TABLE characters ( MovieID INTEGER, ActorID INTEGER, "Character Name" TEXT, creditOrder INTEGER, pay TEXT, screentime TEXT, primary key (MovieID, ActorID), foreign key (ActorID) references actor(ActorID), foreign key (MovieID) references movie(MovieID) ) /* 1 example row: SELECT * FROM characters LIMIT 1; MovieID ||ActorID ||Character Name ||creditOrder || pay ||screentime 1 || 1 || James || 1 ||None || None */ /* column definitions { "MovieID": "the unique id for the movie", "ActorID": "the unique id for the actor", "Character Name": "the name of the character", "creditOrder": "order of the character in the credit list ", "pay": "the salary of the character", "screentime": "the screentime of the character" }*/ ### Question Among the actors born in New York City, list the genre of their movie with a rating greater than 5. Clarification: born in New York City refers to Birth City = 'New York City'; rating greater than 5 refers to Rating > 5
[query_database(**{'query': 'SELECT T1.Genre FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID INNER JOIN actor AS T3 ON T3.ActorID = T2.ActorID WHERE T3.`Birth City` = 'New York City' AND T1.Rating > 5'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE actor ( ActorID INTEGER constraint actor_pk primary key, Name TEXT, "Date of Birth" DATE, "Birth City" TEXT, "Birth Country" TEXT, "Height (Inches)" INTEGER, Biography TEXT, Gender TEXT, Ethnicity TEXT, NetWorth TEXT ) /* 1 example row: SELECT * FROM actor LIMIT 1; ActorID || Name ||Date of Birth ||Birth City ||Birth Country ||Height (Inches) || Biography ||Gender ||Ethnicity || NetWorth 1 ||John Travolta || 1954-02-18 || Englewood || USA || 74 ||John Joseph Travolta was born in Englewood, New Jersey, one of six children of Helen Travolta (n�e Helen Cecilia Burke) and Salvatore/Samuel J. Travolta. His father was of Italian descent and his mother was of Irish ancestry. His father owned a tire repair shop called Travolta Tires in Hillsdale, NJ. Travolta started acting appearing in a local ... || Male || White ||$250,000,000.00 */ /* column definitions { "ActorID": "the unique id for the actor", "Name": "actor's name", "Date of Birth": "actor's birth date", "Birth City": "actor's birth city", "Birth Country": "actor's birth country", "Height (Inches)": "actor's height", "Biography": "actor's biography", "Gender": "actor's gender", "Ethnicity": "actor's ethnicity", "NetWorth": "actor's networth" }*/ CREATE TABLE movie ( MovieID INTEGER constraint movie_pk primary key, Title TEXT, "MPAA Rating" TEXT, Budget INTEGER, Gross INTEGER, "Release Date" TEXT, Genre TEXT, Runtime INTEGER, Rating REAL, "Rating Count" INTEGER, Summary TEXT ) /* 1 example row: SELECT * FROM movie LIMIT 1; MovieID || Title ||MPAA Rating || Budget || Gross ||Release Date || Genre ||Runtime ||Rating ||Rating Count || Summary 1 ||Look Who's Talking || PG-13 ||7500000 ||296000000 || 1989-10-12 ||Romance || 93 || 5.9 || 73638 ||After a single, career-minded woman is left on her own to give birth to the child of a married man, she finds a new romantic chance in a cab driver. Meanwhile, the point-of-view of the newborn boy is narrated through voice-over. */ /* column definitions { "MovieID": "the unique id for the movie", "Title": "the title of the movie", "MPAA Rating": "MPAA rating of the movie", "Budget": "the budget of the movie", "Gross": "the gross of the movie", "Release Date": "release date", "Genre": "the genre of the movie", "Runtime": "the runtime of the movie", "Rating": "the rating of the movie", "Rating Count": "the number of the ratings", "Summary": "the summary of the movie" }*/ CREATE TABLE characters ( MovieID INTEGER, ActorID INTEGER, "Character Name" TEXT, creditOrder INTEGER, pay TEXT, screentime TEXT, primary key (MovieID, ActorID), foreign key (ActorID) references actor(ActorID), foreign key (MovieID) references movie(MovieID) ) /* 1 example row: SELECT * FROM characters LIMIT 1; MovieID ||ActorID ||Character Name ||creditOrder || pay ||screentime 1 || 1 || James || 1 ||None || None */ /* column definitions { "MovieID": "the unique id for the movie", "ActorID": "the unique id for the actor", "Character Name": "the name of the character", "creditOrder": "order of the character in the credit list ", "pay": "the salary of the character", "screentime": "the screentime of the character" }*/
766
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE actor ( ActorID INTEGER constraint actor_pk primary key, Name TEXT, "Date of Birth" DATE, "Birth City" TEXT, "Birth Country" TEXT, "Height (Inches)" INTEGER, Biography TEXT, Gender TEXT, Ethnicity TEXT, NetWorth TEXT ) /* 1 example row: SELECT * FROM actor LIMIT 1; ActorID || Name ||Date of Birth ||Birth City ||Birth Country ||Height (Inches) || Biography ||Gender ||Ethnicity || NetWorth 1 ||John Travolta || 1954-02-18 || Englewood || USA || 74 ||John Joseph Travolta was born in Englewood, New Jersey, one of six children of Helen Travolta (n�e Helen Cecilia Burke) and Salvatore/Samuel J. Travolta. His father was of Italian descent and his mother was of Irish ancestry. His father owned a tire repair shop called Travolta Tires in Hillsdale, NJ. Travolta started acting appearing in a local ... || Male || White ||$250,000,000.00 */ /* column definitions { "ActorID": "the unique id for the actor", "Name": "actor's name", "Date of Birth": "actor's birth date", "Birth City": "actor's birth city", "Birth Country": "actor's birth country", "Height (Inches)": "actor's height", "Biography": "actor's biography", "Gender": "actor's gender", "Ethnicity": "actor's ethnicity", "NetWorth": "actor's networth" }*/ CREATE TABLE movie ( MovieID INTEGER constraint movie_pk primary key, Title TEXT, "MPAA Rating" TEXT, Budget INTEGER, Gross INTEGER, "Release Date" TEXT, Genre TEXT, Runtime INTEGER, Rating REAL, "Rating Count" INTEGER, Summary TEXT ) /* 1 example row: SELECT * FROM movie LIMIT 1; MovieID || Title ||MPAA Rating || Budget || Gross ||Release Date || Genre ||Runtime ||Rating ||Rating Count || Summary 1 ||Look Who's Talking || PG-13 ||7500000 ||296000000 || 1989-10-12 ||Romance || 93 || 5.9 || 73638 ||After a single, career-minded woman is left on her own to give birth to the child of a married man, she finds a new romantic chance in a cab driver. Meanwhile, the point-of-view of the newborn boy is narrated through voice-over. */ /* column definitions { "MovieID": "the unique id for the movie", "Title": "the title of the movie", "MPAA Rating": "MPAA rating of the movie", "Budget": "the budget of the movie", "Gross": "the gross of the movie", "Release Date": "release date", "Genre": "the genre of the movie", "Runtime": "the runtime of the movie", "Rating": "the rating of the movie", "Rating Count": "the number of the ratings", "Summary": "the summary of the movie" }*/ CREATE TABLE characters ( MovieID INTEGER, ActorID INTEGER, "Character Name" TEXT, creditOrder INTEGER, pay TEXT, screentime TEXT, primary key (MovieID, ActorID), foreign key (ActorID) references actor(ActorID), foreign key (MovieID) references movie(MovieID) ) /* 1 example row: SELECT * FROM characters LIMIT 1; MovieID ||ActorID ||Character Name ||creditOrder || pay ||screentime 1 || 1 || James || 1 ||None || None */ /* column definitions { "MovieID": "the unique id for the movie", "ActorID": "the unique id for the actor", "Character Name": "the name of the character", "creditOrder": "order of the character in the credit list ", "pay": "the salary of the character", "screentime": "the screentime of the character" }*/ ### Question What is the net worth of the actor starred in Misery who has a height ranging from 60 to 70 inches tall? Clarification: Misery refers to Title = 'Misery'; height ranging from 60 to 70 inches refers to Height (Inches) BETWEEN 60 and 70
[query_database(**{'query': 'SELECT T3.NetWorth FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID INNER JOIN actor AS T3 ON T3.ActorID = T2.ActorID WHERE T1.Title = 'Misery' AND T3.`Height (Inches)` BETWEEN 60 AND 70 AND T3.Gender = 'Male''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE actor ( ActorID INTEGER constraint actor_pk primary key, Name TEXT, "Date of Birth" DATE, "Birth City" TEXT, "Birth Country" TEXT, "Height (Inches)" INTEGER, Biography TEXT, Gender TEXT, Ethnicity TEXT, NetWorth TEXT ) /* 1 example row: SELECT * FROM actor LIMIT 1; ActorID || Name ||Date of Birth ||Birth City ||Birth Country ||Height (Inches) || Biography ||Gender ||Ethnicity || NetWorth 1 ||John Travolta || 1954-02-18 || Englewood || USA || 74 ||John Joseph Travolta was born in Englewood, New Jersey, one of six children of Helen Travolta (n�e Helen Cecilia Burke) and Salvatore/Samuel J. Travolta. His father was of Italian descent and his mother was of Irish ancestry. His father owned a tire repair shop called Travolta Tires in Hillsdale, NJ. Travolta started acting appearing in a local ... || Male || White ||$250,000,000.00 */ /* column definitions { "ActorID": "the unique id for the actor", "Name": "actor's name", "Date of Birth": "actor's birth date", "Birth City": "actor's birth city", "Birth Country": "actor's birth country", "Height (Inches)": "actor's height", "Biography": "actor's biography", "Gender": "actor's gender", "Ethnicity": "actor's ethnicity", "NetWorth": "actor's networth" }*/ CREATE TABLE movie ( MovieID INTEGER constraint movie_pk primary key, Title TEXT, "MPAA Rating" TEXT, Budget INTEGER, Gross INTEGER, "Release Date" TEXT, Genre TEXT, Runtime INTEGER, Rating REAL, "Rating Count" INTEGER, Summary TEXT ) /* 1 example row: SELECT * FROM movie LIMIT 1; MovieID || Title ||MPAA Rating || Budget || Gross ||Release Date || Genre ||Runtime ||Rating ||Rating Count || Summary 1 ||Look Who's Talking || PG-13 ||7500000 ||296000000 || 1989-10-12 ||Romance || 93 || 5.9 || 73638 ||After a single, career-minded woman is left on her own to give birth to the child of a married man, she finds a new romantic chance in a cab driver. Meanwhile, the point-of-view of the newborn boy is narrated through voice-over. */ /* column definitions { "MovieID": "the unique id for the movie", "Title": "the title of the movie", "MPAA Rating": "MPAA rating of the movie", "Budget": "the budget of the movie", "Gross": "the gross of the movie", "Release Date": "release date", "Genre": "the genre of the movie", "Runtime": "the runtime of the movie", "Rating": "the rating of the movie", "Rating Count": "the number of the ratings", "Summary": "the summary of the movie" }*/ CREATE TABLE characters ( MovieID INTEGER, ActorID INTEGER, "Character Name" TEXT, creditOrder INTEGER, pay TEXT, screentime TEXT, primary key (MovieID, ActorID), foreign key (ActorID) references actor(ActorID), foreign key (MovieID) references movie(MovieID) ) /* 1 example row: SELECT * FROM characters LIMIT 1; MovieID ||ActorID ||Character Name ||creditOrder || pay ||screentime 1 || 1 || James || 1 ||None || None */ /* column definitions { "MovieID": "the unique id for the movie", "ActorID": "the unique id for the actor", "Character Name": "the name of the character", "creditOrder": "order of the character in the credit list ", "pay": "the salary of the character", "screentime": "the screentime of the character" }*/
770
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE actor ( ActorID INTEGER constraint actor_pk primary key, Name TEXT, "Date of Birth" DATE, "Birth City" TEXT, "Birth Country" TEXT, "Height (Inches)" INTEGER, Biography TEXT, Gender TEXT, Ethnicity TEXT, NetWorth TEXT ) /* 1 example row: SELECT * FROM actor LIMIT 1; ActorID || Name ||Date of Birth ||Birth City ||Birth Country ||Height (Inches) || Biography ||Gender ||Ethnicity || NetWorth 1 ||John Travolta || 1954-02-18 || Englewood || USA || 74 ||John Joseph Travolta was born in Englewood, New Jersey, one of six children of Helen Travolta (n�e Helen Cecilia Burke) and Salvatore/Samuel J. Travolta. His father was of Italian descent and his mother was of Irish ancestry. His father owned a tire repair shop called Travolta Tires in Hillsdale, NJ. Travolta started acting appearing in a local ... || Male || White ||$250,000,000.00 */ /* column definitions { "ActorID": "the unique id for the actor", "Name": "actor's name", "Date of Birth": "actor's birth date", "Birth City": "actor's birth city", "Birth Country": "actor's birth country", "Height (Inches)": "actor's height", "Biography": "actor's biography", "Gender": "actor's gender", "Ethnicity": "actor's ethnicity", "NetWorth": "actor's networth" }*/ CREATE TABLE movie ( MovieID INTEGER constraint movie_pk primary key, Title TEXT, "MPAA Rating" TEXT, Budget INTEGER, Gross INTEGER, "Release Date" TEXT, Genre TEXT, Runtime INTEGER, Rating REAL, "Rating Count" INTEGER, Summary TEXT ) /* 1 example row: SELECT * FROM movie LIMIT 1; MovieID || Title ||MPAA Rating || Budget || Gross ||Release Date || Genre ||Runtime ||Rating ||Rating Count || Summary 1 ||Look Who's Talking || PG-13 ||7500000 ||296000000 || 1989-10-12 ||Romance || 93 || 5.9 || 73638 ||After a single, career-minded woman is left on her own to give birth to the child of a married man, she finds a new romantic chance in a cab driver. Meanwhile, the point-of-view of the newborn boy is narrated through voice-over. */ /* column definitions { "MovieID": "the unique id for the movie", "Title": "the title of the movie", "MPAA Rating": "MPAA rating of the movie", "Budget": "the budget of the movie", "Gross": "the gross of the movie", "Release Date": "release date", "Genre": "the genre of the movie", "Runtime": "the runtime of the movie", "Rating": "the rating of the movie", "Rating Count": "the number of the ratings", "Summary": "the summary of the movie" }*/ CREATE TABLE characters ( MovieID INTEGER, ActorID INTEGER, "Character Name" TEXT, creditOrder INTEGER, pay TEXT, screentime TEXT, primary key (MovieID, ActorID), foreign key (ActorID) references actor(ActorID), foreign key (MovieID) references movie(MovieID) ) /* 1 example row: SELECT * FROM characters LIMIT 1; MovieID ||ActorID ||Character Name ||creditOrder || pay ||screentime 1 || 1 || James || 1 ||None || None */ /* column definitions { "MovieID": "the unique id for the movie", "ActorID": "the unique id for the actor", "Character Name": "the name of the character", "creditOrder": "order of the character in the credit list ", "pay": "the salary of the character", "screentime": "the screentime of the character" }*/ ### Question List the runtime of movies starred by an African-American actor born on December 28, 1954. Clarification: African-American refers to Ethnicity = 'African American'; born on December 28 1954 refers to Date of Birth = '1954-12-28'
[query_database(**{'query': 'SELECT T1.Runtime FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID INNER JOIN actor AS T3 ON T3.ActorID = T2.ActorID WHERE T3.Ethnicity = 'African American' AND T3.`Date of Birth` = '1954-12-28''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE actor ( ActorID INTEGER constraint actor_pk primary key, Name TEXT, "Date of Birth" DATE, "Birth City" TEXT, "Birth Country" TEXT, "Height (Inches)" INTEGER, Biography TEXT, Gender TEXT, Ethnicity TEXT, NetWorth TEXT ) /* 1 example row: SELECT * FROM actor LIMIT 1; ActorID || Name ||Date of Birth ||Birth City ||Birth Country ||Height (Inches) || Biography ||Gender ||Ethnicity || NetWorth 1 ||John Travolta || 1954-02-18 || Englewood || USA || 74 ||John Joseph Travolta was born in Englewood, New Jersey, one of six children of Helen Travolta (n�e Helen Cecilia Burke) and Salvatore/Samuel J. Travolta. His father was of Italian descent and his mother was of Irish ancestry. His father owned a tire repair shop called Travolta Tires in Hillsdale, NJ. Travolta started acting appearing in a local ... || Male || White ||$250,000,000.00 */ /* column definitions { "ActorID": "the unique id for the actor", "Name": "actor's name", "Date of Birth": "actor's birth date", "Birth City": "actor's birth city", "Birth Country": "actor's birth country", "Height (Inches)": "actor's height", "Biography": "actor's biography", "Gender": "actor's gender", "Ethnicity": "actor's ethnicity", "NetWorth": "actor's networth" }*/ CREATE TABLE movie ( MovieID INTEGER constraint movie_pk primary key, Title TEXT, "MPAA Rating" TEXT, Budget INTEGER, Gross INTEGER, "Release Date" TEXT, Genre TEXT, Runtime INTEGER, Rating REAL, "Rating Count" INTEGER, Summary TEXT ) /* 1 example row: SELECT * FROM movie LIMIT 1; MovieID || Title ||MPAA Rating || Budget || Gross ||Release Date || Genre ||Runtime ||Rating ||Rating Count || Summary 1 ||Look Who's Talking || PG-13 ||7500000 ||296000000 || 1989-10-12 ||Romance || 93 || 5.9 || 73638 ||After a single, career-minded woman is left on her own to give birth to the child of a married man, she finds a new romantic chance in a cab driver. Meanwhile, the point-of-view of the newborn boy is narrated through voice-over. */ /* column definitions { "MovieID": "the unique id for the movie", "Title": "the title of the movie", "MPAA Rating": "MPAA rating of the movie", "Budget": "the budget of the movie", "Gross": "the gross of the movie", "Release Date": "release date", "Genre": "the genre of the movie", "Runtime": "the runtime of the movie", "Rating": "the rating of the movie", "Rating Count": "the number of the ratings", "Summary": "the summary of the movie" }*/ CREATE TABLE characters ( MovieID INTEGER, ActorID INTEGER, "Character Name" TEXT, creditOrder INTEGER, pay TEXT, screentime TEXT, primary key (MovieID, ActorID), foreign key (ActorID) references actor(ActorID), foreign key (MovieID) references movie(MovieID) ) /* 1 example row: SELECT * FROM characters LIMIT 1; MovieID ||ActorID ||Character Name ||creditOrder || pay ||screentime 1 || 1 || James || 1 ||None || None */ /* column definitions { "MovieID": "the unique id for the movie", "ActorID": "the unique id for the actor", "Character Name": "the name of the character", "creditOrder": "order of the character in the credit list ", "pay": "the salary of the character", "screentime": "the screentime of the character" }*/
774
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE actor ( ActorID INTEGER constraint actor_pk primary key, Name TEXT, "Date of Birth" DATE, "Birth City" TEXT, "Birth Country" TEXT, "Height (Inches)" INTEGER, Biography TEXT, Gender TEXT, Ethnicity TEXT, NetWorth TEXT ) /* 1 example row: SELECT * FROM actor LIMIT 1; ActorID || Name ||Date of Birth ||Birth City ||Birth Country ||Height (Inches) || Biography ||Gender ||Ethnicity || NetWorth 1 ||John Travolta || 1954-02-18 || Englewood || USA || 74 ||John Joseph Travolta was born in Englewood, New Jersey, one of six children of Helen Travolta (n�e Helen Cecilia Burke) and Salvatore/Samuel J. Travolta. His father was of Italian descent and his mother was of Irish ancestry. His father owned a tire repair shop called Travolta Tires in Hillsdale, NJ. Travolta started acting appearing in a local ... || Male || White ||$250,000,000.00 */ /* column definitions { "ActorID": "the unique id for the actor", "Name": "actor's name", "Date of Birth": "actor's birth date", "Birth City": "actor's birth city", "Birth Country": "actor's birth country", "Height (Inches)": "actor's height", "Biography": "actor's biography", "Gender": "actor's gender", "Ethnicity": "actor's ethnicity", "NetWorth": "actor's networth" }*/ CREATE TABLE movie ( MovieID INTEGER constraint movie_pk primary key, Title TEXT, "MPAA Rating" TEXT, Budget INTEGER, Gross INTEGER, "Release Date" TEXT, Genre TEXT, Runtime INTEGER, Rating REAL, "Rating Count" INTEGER, Summary TEXT ) /* 1 example row: SELECT * FROM movie LIMIT 1; MovieID || Title ||MPAA Rating || Budget || Gross ||Release Date || Genre ||Runtime ||Rating ||Rating Count || Summary 1 ||Look Who's Talking || PG-13 ||7500000 ||296000000 || 1989-10-12 ||Romance || 93 || 5.9 || 73638 ||After a single, career-minded woman is left on her own to give birth to the child of a married man, she finds a new romantic chance in a cab driver. Meanwhile, the point-of-view of the newborn boy is narrated through voice-over. */ /* column definitions { "MovieID": "the unique id for the movie", "Title": "the title of the movie", "MPAA Rating": "MPAA rating of the movie", "Budget": "the budget of the movie", "Gross": "the gross of the movie", "Release Date": "release date", "Genre": "the genre of the movie", "Runtime": "the runtime of the movie", "Rating": "the rating of the movie", "Rating Count": "the number of the ratings", "Summary": "the summary of the movie" }*/ CREATE TABLE characters ( MovieID INTEGER, ActorID INTEGER, "Character Name" TEXT, creditOrder INTEGER, pay TEXT, screentime TEXT, primary key (MovieID, ActorID), foreign key (ActorID) references actor(ActorID), foreign key (MovieID) references movie(MovieID) ) /* 1 example row: SELECT * FROM characters LIMIT 1; MovieID ||ActorID ||Character Name ||creditOrder || pay ||screentime 1 || 1 || James || 1 ||None || None */ /* column definitions { "MovieID": "the unique id for the movie", "ActorID": "the unique id for the actor", "Character Name": "the name of the character", "creditOrder": "order of the character in the credit list ", "pay": "the salary of the character", "screentime": "the screentime of the character" }*/ ### Question Among the movies with drama genre, what is the percentage of the actors with net worth greater than $400,000,000.00? Clarification: drama genre refers to Genre = 'Drama'; net worth greater than $400,000,000.00 refers to NetWorth > '$400,000,000.00'; percentage = divide(count(ActorID where NetWorth > '$400,000,000.00'), COUNT(ActorID))*100%
[query_database(**{'query': 'SELECT SUM(CASE WHEN CAST(REPLACE(REPLACE(T3.NetWorth, ',', ''), '$', '') AS REAL) > 400000000 THEN 1 ELSE 0 END) - SUM(CASE WHEN CAST(REPLACE(REPLACE(T3.NetWorth, ',', ''), '$', '') AS REAL) < 400000000 THEN 1 ELSE 0 END) FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID INNER JOIN actor AS T3 ON T3.ActorID = T2.ActorID WHERE T1.Genre = 'Drama''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE actor ( ActorID INTEGER constraint actor_pk primary key, Name TEXT, "Date of Birth" DATE, "Birth City" TEXT, "Birth Country" TEXT, "Height (Inches)" INTEGER, Biography TEXT, Gender TEXT, Ethnicity TEXT, NetWorth TEXT ) /* 1 example row: SELECT * FROM actor LIMIT 1; ActorID || Name ||Date of Birth ||Birth City ||Birth Country ||Height (Inches) || Biography ||Gender ||Ethnicity || NetWorth 1 ||John Travolta || 1954-02-18 || Englewood || USA || 74 ||John Joseph Travolta was born in Englewood, New Jersey, one of six children of Helen Travolta (n�e Helen Cecilia Burke) and Salvatore/Samuel J. Travolta. His father was of Italian descent and his mother was of Irish ancestry. His father owned a tire repair shop called Travolta Tires in Hillsdale, NJ. Travolta started acting appearing in a local ... || Male || White ||$250,000,000.00 */ /* column definitions { "ActorID": "the unique id for the actor", "Name": "actor's name", "Date of Birth": "actor's birth date", "Birth City": "actor's birth city", "Birth Country": "actor's birth country", "Height (Inches)": "actor's height", "Biography": "actor's biography", "Gender": "actor's gender", "Ethnicity": "actor's ethnicity", "NetWorth": "actor's networth" }*/ CREATE TABLE movie ( MovieID INTEGER constraint movie_pk primary key, Title TEXT, "MPAA Rating" TEXT, Budget INTEGER, Gross INTEGER, "Release Date" TEXT, Genre TEXT, Runtime INTEGER, Rating REAL, "Rating Count" INTEGER, Summary TEXT ) /* 1 example row: SELECT * FROM movie LIMIT 1; MovieID || Title ||MPAA Rating || Budget || Gross ||Release Date || Genre ||Runtime ||Rating ||Rating Count || Summary 1 ||Look Who's Talking || PG-13 ||7500000 ||296000000 || 1989-10-12 ||Romance || 93 || 5.9 || 73638 ||After a single, career-minded woman is left on her own to give birth to the child of a married man, she finds a new romantic chance in a cab driver. Meanwhile, the point-of-view of the newborn boy is narrated through voice-over. */ /* column definitions { "MovieID": "the unique id for the movie", "Title": "the title of the movie", "MPAA Rating": "MPAA rating of the movie", "Budget": "the budget of the movie", "Gross": "the gross of the movie", "Release Date": "release date", "Genre": "the genre of the movie", "Runtime": "the runtime of the movie", "Rating": "the rating of the movie", "Rating Count": "the number of the ratings", "Summary": "the summary of the movie" }*/ CREATE TABLE characters ( MovieID INTEGER, ActorID INTEGER, "Character Name" TEXT, creditOrder INTEGER, pay TEXT, screentime TEXT, primary key (MovieID, ActorID), foreign key (ActorID) references actor(ActorID), foreign key (MovieID) references movie(MovieID) ) /* 1 example row: SELECT * FROM characters LIMIT 1; MovieID ||ActorID ||Character Name ||creditOrder || pay ||screentime 1 || 1 || James || 1 ||None || None */ /* column definitions { "MovieID": "the unique id for the movie", "ActorID": "the unique id for the actor", "Character Name": "the name of the character", "creditOrder": "order of the character in the credit list ", "pay": "the salary of the character", "screentime": "the screentime of the character" }*/
778
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE location ( LocationID INTEGER constraint location_pk primary key, Country TEXT, State TEXT, StateCode TEXT, City TEXT ) /* 1 example row: SELECT * FROM location LIMIT 1; LocationID ||Country || State ||StateCode || City 1 ||Albania ||Elbasan || AL ||Elbasan */ /* column definitions { "LocationID": "unique id of the location", "Country": "the country", "State": "the state", "StateCode": "state code", "City": "the city" }*/ CREATE TABLE user ( UserID TEXT constraint user_pk primary key, Gender TEXT ) /* 1 example row: SELECT * FROM user LIMIT 1; UserID || Gender tw-1267804344 ||Unknown */ /* column definitions { "UserID": "the unique id of the user", "Gender": "user's gender" }*/ CREATE TABLE twitter ( TweetID TEXT primary key, Weekday TEXT, Hour INTEGER, Day INTEGER, Lang TEXT, IsReshare TEXT, Reach INTEGER, RetweetCount INTEGER, Likes INTEGER, Klout INTEGER, Sentiment REAL, "text" TEXT, LocationID INTEGER, UserID TEXT, foreign key (LocationID) references location(LocationID), foreign key (UserID) references user(UserID) ) /* 1 example row: SELECT * FROM twitter LIMIT 1; TweetID || Weekday ||Hour ||Day ||Lang ||IsReshare ||Reach ||RetweetCount ||Likes ||Klout ||Sentiment || text ||LocationID || UserID tw-682712873332805633 ||Thursday || 17 || 31 || en || FALSE || 44 || 0 || 0 || 35 || 0.0 ||We are hiring: Senior Software Engineer - Proto http://www.reqcloud.com/jobs/719865/?k=0LaPxXuFwczs1e32ZURJKrgCIDMQtRO7BquFSQthUKY&utm_source=twitter&utm_campaign=reqCloud_JobPost #job @awscloud #job #protocol #networking #aws #mediastreaming || 3751 ||tw-40932430 */ /* column definitions { "TweetID": "the unique id of the tweet", "Weekday": "the weekday that the tweet has been posted", "Hour": "the hour that the tweet has been posted", "Day": "the day that the tweet has been posted", "Lang": "the language of the tweet", "IsReshare": "whether the tweet is reshared", "Reach": "the reach of the tweet", "RetweetCount": "the retweet count", "Likes": "the number of likes ", "Klout": "the klout of the tweet", "Sentiment": "the sentiment of the tweet", "text": "the text of the tweet", "LocationID": "the location id of the poster", "UserID": "the user id of the poster" }*/ ### Question How many tweets are seen by more than 1000 unique users? Clarification: seen by more than 1000 unique users refers to Reach > 1000
[query_database(**{'query': 'SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Reach > 1000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE location ( LocationID INTEGER constraint location_pk primary key, Country TEXT, State TEXT, StateCode TEXT, City TEXT ) /* 1 example row: SELECT * FROM location LIMIT 1; LocationID ||Country || State ||StateCode || City 1 ||Albania ||Elbasan || AL ||Elbasan */ /* column definitions { "LocationID": "unique id of the location", "Country": "the country", "State": "the state", "StateCode": "state code", "City": "the city" }*/ CREATE TABLE user ( UserID TEXT constraint user_pk primary key, Gender TEXT ) /* 1 example row: SELECT * FROM user LIMIT 1; UserID || Gender tw-1267804344 ||Unknown */ /* column definitions { "UserID": "the unique id of the user", "Gender": "user's gender" }*/ CREATE TABLE twitter ( TweetID TEXT primary key, Weekday TEXT, Hour INTEGER, Day INTEGER, Lang TEXT, IsReshare TEXT, Reach INTEGER, RetweetCount INTEGER, Likes INTEGER, Klout INTEGER, Sentiment REAL, "text" TEXT, LocationID INTEGER, UserID TEXT, foreign key (LocationID) references location(LocationID), foreign key (UserID) references user(UserID) ) /* 1 example row: SELECT * FROM twitter LIMIT 1; TweetID || Weekday ||Hour ||Day ||Lang ||IsReshare ||Reach ||RetweetCount ||Likes ||Klout ||Sentiment || text ||LocationID || UserID tw-682712873332805633 ||Thursday || 17 || 31 || en || FALSE || 44 || 0 || 0 || 35 || 0.0 ||We are hiring: Senior Software Engineer - Proto http://www.reqcloud.com/jobs/719865/?k=0LaPxXuFwczs1e32ZURJKrgCIDMQtRO7BquFSQthUKY&utm_source=twitter&utm_campaign=reqCloud_JobPost #job @awscloud #job #protocol #networking #aws #mediastreaming || 3751 ||tw-40932430 */ /* column definitions { "TweetID": "the unique id of the tweet", "Weekday": "the weekday that the tweet has been posted", "Hour": "the hour that the tweet has been posted", "Day": "the day that the tweet has been posted", "Lang": "the language of the tweet", "IsReshare": "whether the tweet is reshared", "Reach": "the reach of the tweet", "RetweetCount": "the retweet count", "Likes": "the number of likes ", "Klout": "the klout of the tweet", "Sentiment": "the sentiment of the tweet", "text": "the text of the tweet", "LocationID": "the location id of the poster", "UserID": "the user id of the poster" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE location ( LocationID INTEGER constraint location_pk primary key, Country TEXT, State TEXT, StateCode TEXT, City TEXT ) /* 1 example row: SELECT * FROM location LIMIT 1; LocationID ||Country || State ||StateCode || City 1 ||Albania ||Elbasan || AL ||Elbasan */ /* column definitions { "LocationID": "unique id of the location", "Country": "the country", "State": "the state", "StateCode": "state code", "City": "the city" }*/ CREATE TABLE user ( UserID TEXT constraint user_pk primary key, Gender TEXT ) /* 1 example row: SELECT * FROM user LIMIT 1; UserID || Gender tw-1267804344 ||Unknown */ /* column definitions { "UserID": "the unique id of the user", "Gender": "user's gender" }*/ CREATE TABLE twitter ( TweetID TEXT primary key, Weekday TEXT, Hour INTEGER, Day INTEGER, Lang TEXT, IsReshare TEXT, Reach INTEGER, RetweetCount INTEGER, Likes INTEGER, Klout INTEGER, Sentiment REAL, "text" TEXT, LocationID INTEGER, UserID TEXT, foreign key (LocationID) references location(LocationID), foreign key (UserID) references user(UserID) ) /* 1 example row: SELECT * FROM twitter LIMIT 1; TweetID || Weekday ||Hour ||Day ||Lang ||IsReshare ||Reach ||RetweetCount ||Likes ||Klout ||Sentiment || text ||LocationID || UserID tw-682712873332805633 ||Thursday || 17 || 31 || en || FALSE || 44 || 0 || 0 || 35 || 0.0 ||We are hiring: Senior Software Engineer - Proto http://www.reqcloud.com/jobs/719865/?k=0LaPxXuFwczs1e32ZURJKrgCIDMQtRO7BquFSQthUKY&utm_source=twitter&utm_campaign=reqCloud_JobPost #job @awscloud #job #protocol #networking #aws #mediastreaming || 3751 ||tw-40932430 */ /* column definitions { "TweetID": "the unique id of the tweet", "Weekday": "the weekday that the tweet has been posted", "Hour": "the hour that the tweet has been posted", "Day": "the day that the tweet has been posted", "Lang": "the language of the tweet", "IsReshare": "whether the tweet is reshared", "Reach": "the reach of the tweet", "RetweetCount": "the retweet count", "Likes": "the number of likes ", "Klout": "the klout of the tweet", "Sentiment": "the sentiment of the tweet", "text": "the text of the tweet", "LocationID": "the location id of the poster", "UserID": "the user id of the poster" }*/ ### Question How many tweets in total were posted by a user in Argentina? Clarification: "Argentina" is the Country
[query_database(**{'query': 'SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country = 'Argentina' 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 location ( LocationID INTEGER constraint location_pk primary key, Country TEXT, State TEXT, StateCode TEXT, City TEXT ) /* 1 example row: SELECT * FROM location LIMIT 1; LocationID ||Country || State ||StateCode || City 1 ||Albania ||Elbasan || AL ||Elbasan */ /* column definitions { "LocationID": "unique id of the location", "Country": "the country", "State": "the state", "StateCode": "state code", "City": "the city" }*/ CREATE TABLE user ( UserID TEXT constraint user_pk primary key, Gender TEXT ) /* 1 example row: SELECT * FROM user LIMIT 1; UserID || Gender tw-1267804344 ||Unknown */ /* column definitions { "UserID": "the unique id of the user", "Gender": "user's gender" }*/ CREATE TABLE twitter ( TweetID TEXT primary key, Weekday TEXT, Hour INTEGER, Day INTEGER, Lang TEXT, IsReshare TEXT, Reach INTEGER, RetweetCount INTEGER, Likes INTEGER, Klout INTEGER, Sentiment REAL, "text" TEXT, LocationID INTEGER, UserID TEXT, foreign key (LocationID) references location(LocationID), foreign key (UserID) references user(UserID) ) /* 1 example row: SELECT * FROM twitter LIMIT 1; TweetID || Weekday ||Hour ||Day ||Lang ||IsReshare ||Reach ||RetweetCount ||Likes ||Klout ||Sentiment || text ||LocationID || UserID tw-682712873332805633 ||Thursday || 17 || 31 || en || FALSE || 44 || 0 || 0 || 35 || 0.0 ||We are hiring: Senior Software Engineer - Proto http://www.reqcloud.com/jobs/719865/?k=0LaPxXuFwczs1e32ZURJKrgCIDMQtRO7BquFSQthUKY&utm_source=twitter&utm_campaign=reqCloud_JobPost #job @awscloud #job #protocol #networking #aws #mediastreaming || 3751 ||tw-40932430 */ /* column definitions { "TweetID": "the unique id of the tweet", "Weekday": "the weekday that the tweet has been posted", "Hour": "the hour that the tweet has been posted", "Day": "the day that the tweet has been posted", "Lang": "the language of the tweet", "IsReshare": "whether the tweet is reshared", "Reach": "the reach of the tweet", "RetweetCount": "the retweet count", "Likes": "the number of likes ", "Klout": "the klout of the tweet", "Sentiment": "the sentiment of the tweet", "text": "the text of the tweet", "LocationID": "the location id of the poster", "UserID": "the user id of the poster" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE location ( LocationID INTEGER constraint location_pk primary key, Country TEXT, State TEXT, StateCode TEXT, City TEXT ) /* 1 example row: SELECT * FROM location LIMIT 1; LocationID ||Country || State ||StateCode || City 1 ||Albania ||Elbasan || AL ||Elbasan */ /* column definitions { "LocationID": "unique id of the location", "Country": "the country", "State": "the state", "StateCode": "state code", "City": "the city" }*/ CREATE TABLE user ( UserID TEXT constraint user_pk primary key, Gender TEXT ) /* 1 example row: SELECT * FROM user LIMIT 1; UserID || Gender tw-1267804344 ||Unknown */ /* column definitions { "UserID": "the unique id of the user", "Gender": "user's gender" }*/ CREATE TABLE twitter ( TweetID TEXT primary key, Weekday TEXT, Hour INTEGER, Day INTEGER, Lang TEXT, IsReshare TEXT, Reach INTEGER, RetweetCount INTEGER, Likes INTEGER, Klout INTEGER, Sentiment REAL, "text" TEXT, LocationID INTEGER, UserID TEXT, foreign key (LocationID) references location(LocationID), foreign key (UserID) references user(UserID) ) /* 1 example row: SELECT * FROM twitter LIMIT 1; TweetID || Weekday ||Hour ||Day ||Lang ||IsReshare ||Reach ||RetweetCount ||Likes ||Klout ||Sentiment || text ||LocationID || UserID tw-682712873332805633 ||Thursday || 17 || 31 || en || FALSE || 44 || 0 || 0 || 35 || 0.0 ||We are hiring: Senior Software Engineer - Proto http://www.reqcloud.com/jobs/719865/?k=0LaPxXuFwczs1e32ZURJKrgCIDMQtRO7BquFSQthUKY&utm_source=twitter&utm_campaign=reqCloud_JobPost #job @awscloud #job #protocol #networking #aws #mediastreaming || 3751 ||tw-40932430 */ /* column definitions { "TweetID": "the unique id of the tweet", "Weekday": "the weekday that the tweet has been posted", "Hour": "the hour that the tweet has been posted", "Day": "the day that the tweet has been posted", "Lang": "the language of the tweet", "IsReshare": "whether the tweet is reshared", "Reach": "the reach of the tweet", "RetweetCount": "the retweet count", "Likes": "the number of likes ", "Klout": "the klout of the tweet", "Sentiment": "the sentiment of the tweet", "text": "the text of the tweet", "LocationID": "the location id of the poster", "UserID": "the user id of the poster" }*/ ### Question From which country is the tweet with the most likes posted? Clarification: tweet with the most likes refers to Max(Likes)
[query_database(**{'query': 'SELECT T2.Country FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID ORDER BY T1.Likes 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 location ( LocationID INTEGER constraint location_pk primary key, Country TEXT, State TEXT, StateCode TEXT, City TEXT ) /* 1 example row: SELECT * FROM location LIMIT 1; LocationID ||Country || State ||StateCode || City 1 ||Albania ||Elbasan || AL ||Elbasan */ /* column definitions { "LocationID": "unique id of the location", "Country": "the country", "State": "the state", "StateCode": "state code", "City": "the city" }*/ CREATE TABLE user ( UserID TEXT constraint user_pk primary key, Gender TEXT ) /* 1 example row: SELECT * FROM user LIMIT 1; UserID || Gender tw-1267804344 ||Unknown */ /* column definitions { "UserID": "the unique id of the user", "Gender": "user's gender" }*/ CREATE TABLE twitter ( TweetID TEXT primary key, Weekday TEXT, Hour INTEGER, Day INTEGER, Lang TEXT, IsReshare TEXT, Reach INTEGER, RetweetCount INTEGER, Likes INTEGER, Klout INTEGER, Sentiment REAL, "text" TEXT, LocationID INTEGER, UserID TEXT, foreign key (LocationID) references location(LocationID), foreign key (UserID) references user(UserID) ) /* 1 example row: SELECT * FROM twitter LIMIT 1; TweetID || Weekday ||Hour ||Day ||Lang ||IsReshare ||Reach ||RetweetCount ||Likes ||Klout ||Sentiment || text ||LocationID || UserID tw-682712873332805633 ||Thursday || 17 || 31 || en || FALSE || 44 || 0 || 0 || 35 || 0.0 ||We are hiring: Senior Software Engineer - Proto http://www.reqcloud.com/jobs/719865/?k=0LaPxXuFwczs1e32ZURJKrgCIDMQtRO7BquFSQthUKY&utm_source=twitter&utm_campaign=reqCloud_JobPost #job @awscloud #job #protocol #networking #aws #mediastreaming || 3751 ||tw-40932430 */ /* column definitions { "TweetID": "the unique id of the tweet", "Weekday": "the weekday that the tweet has been posted", "Hour": "the hour that the tweet has been posted", "Day": "the day that the tweet has been posted", "Lang": "the language of the tweet", "IsReshare": "whether the tweet is reshared", "Reach": "the reach of the tweet", "RetweetCount": "the retweet count", "Likes": "the number of likes ", "Klout": "the klout of the tweet", "Sentiment": "the sentiment of the tweet", "text": "the text of the tweet", "LocationID": "the location id of the poster", "UserID": "the user id of the poster" }*/
790
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE location ( LocationID INTEGER constraint location_pk primary key, Country TEXT, State TEXT, StateCode TEXT, City TEXT ) /* 1 example row: SELECT * FROM location LIMIT 1; LocationID ||Country || State ||StateCode || City 1 ||Albania ||Elbasan || AL ||Elbasan */ /* column definitions { "LocationID": "unique id of the location", "Country": "the country", "State": "the state", "StateCode": "state code", "City": "the city" }*/ CREATE TABLE user ( UserID TEXT constraint user_pk primary key, Gender TEXT ) /* 1 example row: SELECT * FROM user LIMIT 1; UserID || Gender tw-1267804344 ||Unknown */ /* column definitions { "UserID": "the unique id of the user", "Gender": "user's gender" }*/ CREATE TABLE twitter ( TweetID TEXT primary key, Weekday TEXT, Hour INTEGER, Day INTEGER, Lang TEXT, IsReshare TEXT, Reach INTEGER, RetweetCount INTEGER, Likes INTEGER, Klout INTEGER, Sentiment REAL, "text" TEXT, LocationID INTEGER, UserID TEXT, foreign key (LocationID) references location(LocationID), foreign key (UserID) references user(UserID) ) /* 1 example row: SELECT * FROM twitter LIMIT 1; TweetID || Weekday ||Hour ||Day ||Lang ||IsReshare ||Reach ||RetweetCount ||Likes ||Klout ||Sentiment || text ||LocationID || UserID tw-682712873332805633 ||Thursday || 17 || 31 || en || FALSE || 44 || 0 || 0 || 35 || 0.0 ||We are hiring: Senior Software Engineer - Proto http://www.reqcloud.com/jobs/719865/?k=0LaPxXuFwczs1e32ZURJKrgCIDMQtRO7BquFSQthUKY&utm_source=twitter&utm_campaign=reqCloud_JobPost #job @awscloud #job #protocol #networking #aws #mediastreaming || 3751 ||tw-40932430 */ /* column definitions { "TweetID": "the unique id of the tweet", "Weekday": "the weekday that the tweet has been posted", "Hour": "the hour that the tweet has been posted", "Day": "the day that the tweet has been posted", "Lang": "the language of the tweet", "IsReshare": "whether the tweet is reshared", "Reach": "the reach of the tweet", "RetweetCount": "the retweet count", "Likes": "the number of likes ", "Klout": "the klout of the tweet", "Sentiment": "the sentiment of the tweet", "text": "the text of the tweet", "LocationID": "the location id of the poster", "UserID": "the user id of the poster" }*/ ### Question How many tweets have the male users posted in total? Clarification: male users refers to Gender = 'Male'; total tweets refers to Count(TweetID)
[query_database(**{'query': 'SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE location ( LocationID INTEGER constraint location_pk primary key, Country TEXT, State TEXT, StateCode TEXT, City TEXT ) /* 1 example row: SELECT * FROM location LIMIT 1; LocationID ||Country || State ||StateCode || City 1 ||Albania ||Elbasan || AL ||Elbasan */ /* column definitions { "LocationID": "unique id of the location", "Country": "the country", "State": "the state", "StateCode": "state code", "City": "the city" }*/ CREATE TABLE user ( UserID TEXT constraint user_pk primary key, Gender TEXT ) /* 1 example row: SELECT * FROM user LIMIT 1; UserID || Gender tw-1267804344 ||Unknown */ /* column definitions { "UserID": "the unique id of the user", "Gender": "user's gender" }*/ CREATE TABLE twitter ( TweetID TEXT primary key, Weekday TEXT, Hour INTEGER, Day INTEGER, Lang TEXT, IsReshare TEXT, Reach INTEGER, RetweetCount INTEGER, Likes INTEGER, Klout INTEGER, Sentiment REAL, "text" TEXT, LocationID INTEGER, UserID TEXT, foreign key (LocationID) references location(LocationID), foreign key (UserID) references user(UserID) ) /* 1 example row: SELECT * FROM twitter LIMIT 1; TweetID || Weekday ||Hour ||Day ||Lang ||IsReshare ||Reach ||RetweetCount ||Likes ||Klout ||Sentiment || text ||LocationID || UserID tw-682712873332805633 ||Thursday || 17 || 31 || en || FALSE || 44 || 0 || 0 || 35 || 0.0 ||We are hiring: Senior Software Engineer - Proto http://www.reqcloud.com/jobs/719865/?k=0LaPxXuFwczs1e32ZURJKrgCIDMQtRO7BquFSQthUKY&utm_source=twitter&utm_campaign=reqCloud_JobPost #job @awscloud #job #protocol #networking #aws #mediastreaming || 3751 ||tw-40932430 */ /* column definitions { "TweetID": "the unique id of the tweet", "Weekday": "the weekday that the tweet has been posted", "Hour": "the hour that the tweet has been posted", "Day": "the day that the tweet has been posted", "Lang": "the language of the tweet", "IsReshare": "whether the tweet is reshared", "Reach": "the reach of the tweet", "RetweetCount": "the retweet count", "Likes": "the number of likes ", "Klout": "the klout of the tweet", "Sentiment": "the sentiment of the tweet", "text": "the text of the tweet", "LocationID": "the location id of the poster", "UserID": "the user id of the poster" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE location ( LocationID INTEGER constraint location_pk primary key, Country TEXT, State TEXT, StateCode TEXT, City TEXT ) /* 1 example row: SELECT * FROM location LIMIT 1; LocationID ||Country || State ||StateCode || City 1 ||Albania ||Elbasan || AL ||Elbasan */ /* column definitions { "LocationID": "unique id of the location", "Country": "the country", "State": "the state", "StateCode": "state code", "City": "the city" }*/ CREATE TABLE user ( UserID TEXT constraint user_pk primary key, Gender TEXT ) /* 1 example row: SELECT * FROM user LIMIT 1; UserID || Gender tw-1267804344 ||Unknown */ /* column definitions { "UserID": "the unique id of the user", "Gender": "user's gender" }*/ CREATE TABLE twitter ( TweetID TEXT primary key, Weekday TEXT, Hour INTEGER, Day INTEGER, Lang TEXT, IsReshare TEXT, Reach INTEGER, RetweetCount INTEGER, Likes INTEGER, Klout INTEGER, Sentiment REAL, "text" TEXT, LocationID INTEGER, UserID TEXT, foreign key (LocationID) references location(LocationID), foreign key (UserID) references user(UserID) ) /* 1 example row: SELECT * FROM twitter LIMIT 1; TweetID || Weekday ||Hour ||Day ||Lang ||IsReshare ||Reach ||RetweetCount ||Likes ||Klout ||Sentiment || text ||LocationID || UserID tw-682712873332805633 ||Thursday || 17 || 31 || en || FALSE || 44 || 0 || 0 || 35 || 0.0 ||We are hiring: Senior Software Engineer - Proto http://www.reqcloud.com/jobs/719865/?k=0LaPxXuFwczs1e32ZURJKrgCIDMQtRO7BquFSQthUKY&utm_source=twitter&utm_campaign=reqCloud_JobPost #job @awscloud #job #protocol #networking #aws #mediastreaming || 3751 ||tw-40932430 */ /* column definitions { "TweetID": "the unique id of the tweet", "Weekday": "the weekday that the tweet has been posted", "Hour": "the hour that the tweet has been posted", "Day": "the day that the tweet has been posted", "Lang": "the language of the tweet", "IsReshare": "whether the tweet is reshared", "Reach": "the reach of the tweet", "RetweetCount": "the retweet count", "Likes": "the number of likes ", "Klout": "the klout of the tweet", "Sentiment": "the sentiment of the tweet", "text": "the text of the tweet", "LocationID": "the location id of the poster", "UserID": "the user id of the poster" }*/ ### Question What is the average number of tweets posted by the users in a city in Argentina? Clarification: "Argentina" is the Country; average number of tweets in a city = Divide (Count(TweetID where Country = 'Argentina'), Count (City))
[query_database(**{'query': 'SELECT SUM(CASE WHEN T2.City = 'Buenos Aires' THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS avg FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country = 'Argentina''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE location ( LocationID INTEGER constraint location_pk primary key, Country TEXT, State TEXT, StateCode TEXT, City TEXT ) /* 1 example row: SELECT * FROM location LIMIT 1; LocationID ||Country || State ||StateCode || City 1 ||Albania ||Elbasan || AL ||Elbasan */ /* column definitions { "LocationID": "unique id of the location", "Country": "the country", "State": "the state", "StateCode": "state code", "City": "the city" }*/ CREATE TABLE user ( UserID TEXT constraint user_pk primary key, Gender TEXT ) /* 1 example row: SELECT * FROM user LIMIT 1; UserID || Gender tw-1267804344 ||Unknown */ /* column definitions { "UserID": "the unique id of the user", "Gender": "user's gender" }*/ CREATE TABLE twitter ( TweetID TEXT primary key, Weekday TEXT, Hour INTEGER, Day INTEGER, Lang TEXT, IsReshare TEXT, Reach INTEGER, RetweetCount INTEGER, Likes INTEGER, Klout INTEGER, Sentiment REAL, "text" TEXT, LocationID INTEGER, UserID TEXT, foreign key (LocationID) references location(LocationID), foreign key (UserID) references user(UserID) ) /* 1 example row: SELECT * FROM twitter LIMIT 1; TweetID || Weekday ||Hour ||Day ||Lang ||IsReshare ||Reach ||RetweetCount ||Likes ||Klout ||Sentiment || text ||LocationID || UserID tw-682712873332805633 ||Thursday || 17 || 31 || en || FALSE || 44 || 0 || 0 || 35 || 0.0 ||We are hiring: Senior Software Engineer - Proto http://www.reqcloud.com/jobs/719865/?k=0LaPxXuFwczs1e32ZURJKrgCIDMQtRO7BquFSQthUKY&utm_source=twitter&utm_campaign=reqCloud_JobPost #job @awscloud #job #protocol #networking #aws #mediastreaming || 3751 ||tw-40932430 */ /* column definitions { "TweetID": "the unique id of the tweet", "Weekday": "the weekday that the tweet has been posted", "Hour": "the hour that the tweet has been posted", "Day": "the day that the tweet has been posted", "Lang": "the language of the tweet", "IsReshare": "whether the tweet is reshared", "Reach": "the reach of the tweet", "RetweetCount": "the retweet count", "Likes": "the number of likes ", "Klout": "the klout of the tweet", "Sentiment": "the sentiment of the tweet", "text": "the text of the tweet", "LocationID": "the location id of the poster", "UserID": "the user id of the poster" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE location ( LocationID INTEGER constraint location_pk primary key, Country TEXT, State TEXT, StateCode TEXT, City TEXT ) /* 1 example row: SELECT * FROM location LIMIT 1; LocationID ||Country || State ||StateCode || City 1 ||Albania ||Elbasan || AL ||Elbasan */ /* column definitions { "LocationID": "unique id of the location", "Country": "the country", "State": "the state", "StateCode": "state code", "City": "the city" }*/ CREATE TABLE user ( UserID TEXT constraint user_pk primary key, Gender TEXT ) /* 1 example row: SELECT * FROM user LIMIT 1; UserID || Gender tw-1267804344 ||Unknown */ /* column definitions { "UserID": "the unique id of the user", "Gender": "user's gender" }*/ CREATE TABLE twitter ( TweetID TEXT primary key, Weekday TEXT, Hour INTEGER, Day INTEGER, Lang TEXT, IsReshare TEXT, Reach INTEGER, RetweetCount INTEGER, Likes INTEGER, Klout INTEGER, Sentiment REAL, "text" TEXT, LocationID INTEGER, UserID TEXT, foreign key (LocationID) references location(LocationID), foreign key (UserID) references user(UserID) ) /* 1 example row: SELECT * FROM twitter LIMIT 1; TweetID || Weekday ||Hour ||Day ||Lang ||IsReshare ||Reach ||RetweetCount ||Likes ||Klout ||Sentiment || text ||LocationID || UserID tw-682712873332805633 ||Thursday || 17 || 31 || en || FALSE || 44 || 0 || 0 || 35 || 0.0 ||We are hiring: Senior Software Engineer - Proto http://www.reqcloud.com/jobs/719865/?k=0LaPxXuFwczs1e32ZURJKrgCIDMQtRO7BquFSQthUKY&utm_source=twitter&utm_campaign=reqCloud_JobPost #job @awscloud #job #protocol #networking #aws #mediastreaming || 3751 ||tw-40932430 */ /* column definitions { "TweetID": "the unique id of the tweet", "Weekday": "the weekday that the tweet has been posted", "Hour": "the hour that the tweet has been posted", "Day": "the day that the tweet has been posted", "Lang": "the language of the tweet", "IsReshare": "whether the tweet is reshared", "Reach": "the reach of the tweet", "RetweetCount": "the retweet count", "Likes": "the number of likes ", "Klout": "the klout of the tweet", "Sentiment": "the sentiment of the tweet", "text": "the text of the tweet", "LocationID": "the location id of the poster", "UserID": "the user id of the poster" }*/ ### Question What is the code of Gwynedd State? Clarification: code refers to StateCode
[query_database(**{'query': 'SELECT DISTINCT StateCode FROM location WHERE State = 'Gwynedd''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE location ( LocationID INTEGER constraint location_pk primary key, Country TEXT, State TEXT, StateCode TEXT, City TEXT ) /* 1 example row: SELECT * FROM location LIMIT 1; LocationID ||Country || State ||StateCode || City 1 ||Albania ||Elbasan || AL ||Elbasan */ /* column definitions { "LocationID": "unique id of the location", "Country": "the country", "State": "the state", "StateCode": "state code", "City": "the city" }*/ CREATE TABLE user ( UserID TEXT constraint user_pk primary key, Gender TEXT ) /* 1 example row: SELECT * FROM user LIMIT 1; UserID || Gender tw-1267804344 ||Unknown */ /* column definitions { "UserID": "the unique id of the user", "Gender": "user's gender" }*/ CREATE TABLE twitter ( TweetID TEXT primary key, Weekday TEXT, Hour INTEGER, Day INTEGER, Lang TEXT, IsReshare TEXT, Reach INTEGER, RetweetCount INTEGER, Likes INTEGER, Klout INTEGER, Sentiment REAL, "text" TEXT, LocationID INTEGER, UserID TEXT, foreign key (LocationID) references location(LocationID), foreign key (UserID) references user(UserID) ) /* 1 example row: SELECT * FROM twitter LIMIT 1; TweetID || Weekday ||Hour ||Day ||Lang ||IsReshare ||Reach ||RetweetCount ||Likes ||Klout ||Sentiment || text ||LocationID || UserID tw-682712873332805633 ||Thursday || 17 || 31 || en || FALSE || 44 || 0 || 0 || 35 || 0.0 ||We are hiring: Senior Software Engineer - Proto http://www.reqcloud.com/jobs/719865/?k=0LaPxXuFwczs1e32ZURJKrgCIDMQtRO7BquFSQthUKY&utm_source=twitter&utm_campaign=reqCloud_JobPost #job @awscloud #job #protocol #networking #aws #mediastreaming || 3751 ||tw-40932430 */ /* column definitions { "TweetID": "the unique id of the tweet", "Weekday": "the weekday that the tweet has been posted", "Hour": "the hour that the tweet has been posted", "Day": "the day that the tweet has been posted", "Lang": "the language of the tweet", "IsReshare": "whether the tweet is reshared", "Reach": "the reach of the tweet", "RetweetCount": "the retweet count", "Likes": "the number of likes ", "Klout": "the klout of the tweet", "Sentiment": "the sentiment of the tweet", "text": "the text of the tweet", "LocationID": "the location id of the poster", "UserID": "the user id of the poster" }*/