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truongpdd
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BIRD_for_augment_sql2question

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */ ### Question How many parties do we have?
[query_database(**{'query': 'SELECT count(DISTINCT party_name) FROM party'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */
2,047
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */ ### Question Show the minister who took office after 1961 or before 1959.
[query_database(**{'query': 'SELECT minister FROM party WHERE took_office > 1961 OR took_office < 1959'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */
2,051
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */ ### Question Show all ministers and parties they belong to in descending order of the time they took office.
[query_database(**{'query': 'SELECT minister , party_name FROM party ORDER BY took_office DESC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */
2,055
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */ ### Question List member names and their party names.
[query_database(**{'query': 'SELECT T1.member_name , T2.party_name FROM Member AS T1 JOIN party AS T2 ON T1.party_id = T2.party_id'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */ ### Question What is the name of party with most number of members?
[query_database(**{'query': 'SELECT T2.party_name FROM Member AS T1 JOIN party AS T2 ON T1.party_id = T2.party_id GROUP BY T1.party_id ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */ ### Question Show names of parties that does not have any members.
[query_database(**{'query': 'SELECT party_name FROM party WHERE party_id NOT IN (SELECT party_id FROM Member)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */ ### Question Show member names that are not in the Progress Party.
[query_database(**{'query': 'SELECT T1.member_name FROM Member AS T1 JOIN party AS T2 ON T1.party_id = T2.party_id WHERE T2.Party_name != "Progress Party"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */
2,071
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */ ### Question Show party names and the number of events for each party.
[query_database(**{'query': 'SELECT T2.party_name , count(*) FROM party_events AS T1 JOIN party AS T2 ON T1.party_id = T2.party_id GROUP BY T1.party_id'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */ ### Question What are the names of parties with at least 2 events?
[query_database(**{'query': 'SELECT T2.party_name FROM party_events AS T1 JOIN party AS T2 ON T1.party_id = T2.party_id GROUP BY T1.party_id HAVING count(*) >= 2'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */ ### Question find the event names that have more than 2 records.
[query_database(**{'query': 'SELECT event_name FROM party_events GROUP BY event_name HAVING count(*) > 2'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "region" ( "Region_ID" int, "Region_name" text, "Date" text, "Label" text, "Format" text, "Catalogue" text, PRIMARY KEY ("Region_ID") ) /* 1 example row: SELECT * FROM region LIMIT 1; Region_ID || Region_name || Date || Label ||Format ||Catalogue 1 ||United Kingdom ||1 July 2002 ||Parlophone || CD || 540 3622 */ CREATE TABLE "party" ( "Party_ID" int, "Minister" text, "Took_office" text, "Left_office" text, "Region_ID" int, "Party_name" text, PRIMARY KEY ("Party_ID"), FOREIGN KEY (`Region_ID`) REFERENCES `region`(`Region_ID`) ) /* 1 example row: SELECT * FROM party LIMIT 1; Party_ID || Minister ||Took_office ||Left_office ||Region_ID || Party_name 1 ||Dr. Kwame Nkrumah (MP) || 1957 || 1958 || 1 ||Convention Peoples Party */ CREATE TABLE "member" ( "Member_ID" int, "Member_Name" text, "Party_ID" text, "In_office" text, PRIMARY KEY ("Member_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`) ) /* 1 example row: SELECT * FROM member LIMIT 1; Member_ID || Member_Name ||Party_ID || In_office 1 ||Hon Tony Abbott || 3 ||1994–present */ CREATE TABLE "party_events" ( "Event_ID" int, "Event_Name" text, "Party_ID" int, "Member_in_charge_ID" int, PRIMARY KEY ("Event_ID"), FOREIGN KEY (`Party_ID`) REFERENCES `party`(`Party_ID`), FOREIGN KEY (`Member_in_charge_ID`) REFERENCES `member`(`Member_ID`) ) /* 1 example row: SELECT * FROM party_events LIMIT 1; Event_ID || Event_Name ||Party_ID ||Member_in_charge_ID 1 ||Annaual Meeting || 1 || 4 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "aircraft" ( "Aircraft_ID" int, "Order_Year" int, "Manufacturer" text, "Model" text, "Fleet_Series" text, "Powertrain" text, "Fuel_Propulsion" text, PRIMARY KEY ("Aircraft_ID") ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID ||Order_Year ||Manufacturer || Model ||Fleet_Series || Powertrain ||Fuel_Propulsion 1 || 1992 || Gillig ||Phantom (High Floor) ||444-464 (21) ||DD S50EGR Allison WB-400R || Diesel */ CREATE TABLE "pilot" ( "Pilot_ID" int, "Pilot_name" text, "Rank" int, "Age" int, "Nationality" text, "Position" text, "Join_Year" int, "Team" text, PRIMARY KEY ("Pilot_ID") ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_ID || Pilot_name ||Rank ||Age || Nationality || Position ||Join_Year || Team 1 ||Patrick O'Bryant || 13 || 33 ||United States ||Center Team || 2009 ||Bradley */ CREATE TABLE "pilot_record" ( "Record_ID" int, "Pilot_ID" int, "Aircraft_ID" int, "Date" text, PRIMARY KEY ("Pilot_ID", "Aircraft_ID", "Date"), FOREIGN KEY (`Pilot_ID`) REFERENCES `pilot`(`Pilot_ID`), FOREIGN KEY (`Aircraft_ID`) REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM pilot_record LIMIT 1; Record_ID ||Pilot_ID ||Aircraft_ID || Date 1 || 1 || 1 ||2003/01/04 */ ### Question How many pilots are there?
[query_database(**{'query': 'SELECT count(*) FROM pilot'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "aircraft" ( "Aircraft_ID" int, "Order_Year" int, "Manufacturer" text, "Model" text, "Fleet_Series" text, "Powertrain" text, "Fuel_Propulsion" text, PRIMARY KEY ("Aircraft_ID") ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID ||Order_Year ||Manufacturer || Model ||Fleet_Series || Powertrain ||Fuel_Propulsion 1 || 1992 || Gillig ||Phantom (High Floor) ||444-464 (21) ||DD S50EGR Allison WB-400R || Diesel */ CREATE TABLE "pilot" ( "Pilot_ID" int, "Pilot_name" text, "Rank" int, "Age" int, "Nationality" text, "Position" text, "Join_Year" int, "Team" text, PRIMARY KEY ("Pilot_ID") ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_ID || Pilot_name ||Rank ||Age || Nationality || Position ||Join_Year || Team 1 ||Patrick O'Bryant || 13 || 33 ||United States ||Center Team || 2009 ||Bradley */ CREATE TABLE "pilot_record" ( "Record_ID" int, "Pilot_ID" int, "Aircraft_ID" int, "Date" text, PRIMARY KEY ("Pilot_ID", "Aircraft_ID", "Date"), FOREIGN KEY (`Pilot_ID`) REFERENCES `pilot`(`Pilot_ID`), FOREIGN KEY (`Aircraft_ID`) REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM pilot_record LIMIT 1; Record_ID ||Pilot_ID ||Aircraft_ID || Date 1 || 1 || 1 ||2003/01/04 */
2,087
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "aircraft" ( "Aircraft_ID" int, "Order_Year" int, "Manufacturer" text, "Model" text, "Fleet_Series" text, "Powertrain" text, "Fuel_Propulsion" text, PRIMARY KEY ("Aircraft_ID") ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID ||Order_Year ||Manufacturer || Model ||Fleet_Series || Powertrain ||Fuel_Propulsion 1 || 1992 || Gillig ||Phantom (High Floor) ||444-464 (21) ||DD S50EGR Allison WB-400R || Diesel */ CREATE TABLE "pilot" ( "Pilot_ID" int, "Pilot_name" text, "Rank" int, "Age" int, "Nationality" text, "Position" text, "Join_Year" int, "Team" text, PRIMARY KEY ("Pilot_ID") ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_ID || Pilot_name ||Rank ||Age || Nationality || Position ||Join_Year || Team 1 ||Patrick O'Bryant || 13 || 33 ||United States ||Center Team || 2009 ||Bradley */ CREATE TABLE "pilot_record" ( "Record_ID" int, "Pilot_ID" int, "Aircraft_ID" int, "Date" text, PRIMARY KEY ("Pilot_ID", "Aircraft_ID", "Date"), FOREIGN KEY (`Pilot_ID`) REFERENCES `pilot`(`Pilot_ID`), FOREIGN KEY (`Aircraft_ID`) REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM pilot_record LIMIT 1; Record_ID ||Pilot_ID ||Aircraft_ID || Date 1 || 1 || 1 ||2003/01/04 */ ### Question Show the names of pilots from team "Bradley" or "Fordham".
[query_database(**{'query': 'SELECT Pilot_name FROM pilot WHERE Team = "Bradley" OR Team = "Fordham"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "aircraft" ( "Aircraft_ID" int, "Order_Year" int, "Manufacturer" text, "Model" text, "Fleet_Series" text, "Powertrain" text, "Fuel_Propulsion" text, PRIMARY KEY ("Aircraft_ID") ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID ||Order_Year ||Manufacturer || Model ||Fleet_Series || Powertrain ||Fuel_Propulsion 1 || 1992 || Gillig ||Phantom (High Floor) ||444-464 (21) ||DD S50EGR Allison WB-400R || Diesel */ CREATE TABLE "pilot" ( "Pilot_ID" int, "Pilot_name" text, "Rank" int, "Age" int, "Nationality" text, "Position" text, "Join_Year" int, "Team" text, PRIMARY KEY ("Pilot_ID") ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_ID || Pilot_name ||Rank ||Age || Nationality || Position ||Join_Year || Team 1 ||Patrick O'Bryant || 13 || 33 ||United States ||Center Team || 2009 ||Bradley */ CREATE TABLE "pilot_record" ( "Record_ID" int, "Pilot_ID" int, "Aircraft_ID" int, "Date" text, PRIMARY KEY ("Pilot_ID", "Aircraft_ID", "Date"), FOREIGN KEY (`Pilot_ID`) REFERENCES `pilot`(`Pilot_ID`), FOREIGN KEY (`Aircraft_ID`) REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM pilot_record LIMIT 1; Record_ID ||Pilot_ID ||Aircraft_ID || Date 1 || 1 || 1 ||2003/01/04 */
2,091
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "aircraft" ( "Aircraft_ID" int, "Order_Year" int, "Manufacturer" text, "Model" text, "Fleet_Series" text, "Powertrain" text, "Fuel_Propulsion" text, PRIMARY KEY ("Aircraft_ID") ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID ||Order_Year ||Manufacturer || Model ||Fleet_Series || Powertrain ||Fuel_Propulsion 1 || 1992 || Gillig ||Phantom (High Floor) ||444-464 (21) ||DD S50EGR Allison WB-400R || Diesel */ CREATE TABLE "pilot" ( "Pilot_ID" int, "Pilot_name" text, "Rank" int, "Age" int, "Nationality" text, "Position" text, "Join_Year" int, "Team" text, PRIMARY KEY ("Pilot_ID") ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_ID || Pilot_name ||Rank ||Age || Nationality || Position ||Join_Year || Team 1 ||Patrick O'Bryant || 13 || 33 ||United States ||Center Team || 2009 ||Bradley */ CREATE TABLE "pilot_record" ( "Record_ID" int, "Pilot_ID" int, "Aircraft_ID" int, "Date" text, PRIMARY KEY ("Pilot_ID", "Aircraft_ID", "Date"), FOREIGN KEY (`Pilot_ID`) REFERENCES `pilot`(`Pilot_ID`), FOREIGN KEY (`Aircraft_ID`) REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM pilot_record LIMIT 1; Record_ID ||Pilot_ID ||Aircraft_ID || Date 1 || 1 || 1 ||2003/01/04 */ ### Question Show the pilot positions that have both pilots joining after year 2005 and pilots joining before 2000.
[query_database(**{'query': 'SELECT POSITION FROM pilot WHERE Join_Year < 2000 INTERSECT SELECT POSITION FROM pilot WHERE Join_Year > 2005'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "aircraft" ( "Aircraft_ID" int, "Order_Year" int, "Manufacturer" text, "Model" text, "Fleet_Series" text, "Powertrain" text, "Fuel_Propulsion" text, PRIMARY KEY ("Aircraft_ID") ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID ||Order_Year ||Manufacturer || Model ||Fleet_Series || Powertrain ||Fuel_Propulsion 1 || 1992 || Gillig ||Phantom (High Floor) ||444-464 (21) ||DD S50EGR Allison WB-400R || Diesel */ CREATE TABLE "pilot" ( "Pilot_ID" int, "Pilot_name" text, "Rank" int, "Age" int, "Nationality" text, "Position" text, "Join_Year" int, "Team" text, PRIMARY KEY ("Pilot_ID") ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_ID || Pilot_name ||Rank ||Age || Nationality || Position ||Join_Year || Team 1 ||Patrick O'Bryant || 13 || 33 ||United States ||Center Team || 2009 ||Bradley */ CREATE TABLE "pilot_record" ( "Record_ID" int, "Pilot_ID" int, "Aircraft_ID" int, "Date" text, PRIMARY KEY ("Pilot_ID", "Aircraft_ID", "Date"), FOREIGN KEY (`Pilot_ID`) REFERENCES `pilot`(`Pilot_ID`), FOREIGN KEY (`Aircraft_ID`) REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM pilot_record LIMIT 1; Record_ID ||Pilot_ID ||Aircraft_ID || Date 1 || 1 || 1 ||2003/01/04 */
2,095
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "aircraft" ( "Aircraft_ID" int, "Order_Year" int, "Manufacturer" text, "Model" text, "Fleet_Series" text, "Powertrain" text, "Fuel_Propulsion" text, PRIMARY KEY ("Aircraft_ID") ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID ||Order_Year ||Manufacturer || Model ||Fleet_Series || Powertrain ||Fuel_Propulsion 1 || 1992 || Gillig ||Phantom (High Floor) ||444-464 (21) ||DD S50EGR Allison WB-400R || Diesel */ CREATE TABLE "pilot" ( "Pilot_ID" int, "Pilot_name" text, "Rank" int, "Age" int, "Nationality" text, "Position" text, "Join_Year" int, "Team" text, PRIMARY KEY ("Pilot_ID") ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_ID || Pilot_name ||Rank ||Age || Nationality || Position ||Join_Year || Team 1 ||Patrick O'Bryant || 13 || 33 ||United States ||Center Team || 2009 ||Bradley */ CREATE TABLE "pilot_record" ( "Record_ID" int, "Pilot_ID" int, "Aircraft_ID" int, "Date" text, PRIMARY KEY ("Pilot_ID", "Aircraft_ID", "Date"), FOREIGN KEY (`Pilot_ID`) REFERENCES `pilot`(`Pilot_ID`), FOREIGN KEY (`Aircraft_ID`) REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM pilot_record LIMIT 1; Record_ID ||Pilot_ID ||Aircraft_ID || Date 1 || 1 || 1 ||2003/01/04 */ ### Question Show the names of pilots and the number of records they have.
[query_database(**{'query': 'SELECT T2.Pilot_name , COUNT(*) FROM pilot_record AS T1 JOIN pilot AS T2 ON T1.pilot_ID = T2.pilot_ID GROUP BY T2.Pilot_name'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "aircraft" ( "Aircraft_ID" int, "Order_Year" int, "Manufacturer" text, "Model" text, "Fleet_Series" text, "Powertrain" text, "Fuel_Propulsion" text, PRIMARY KEY ("Aircraft_ID") ) /* 1 example row: SELECT * FROM aircraft LIMIT 1; Aircraft_ID ||Order_Year ||Manufacturer || Model ||Fleet_Series || Powertrain ||Fuel_Propulsion 1 || 1992 || Gillig ||Phantom (High Floor) ||444-464 (21) ||DD S50EGR Allison WB-400R || Diesel */ CREATE TABLE "pilot" ( "Pilot_ID" int, "Pilot_name" text, "Rank" int, "Age" int, "Nationality" text, "Position" text, "Join_Year" int, "Team" text, PRIMARY KEY ("Pilot_ID") ) /* 1 example row: SELECT * FROM pilot LIMIT 1; Pilot_ID || Pilot_name ||Rank ||Age || Nationality || Position ||Join_Year || Team 1 ||Patrick O'Bryant || 13 || 33 ||United States ||Center Team || 2009 ||Bradley */ CREATE TABLE "pilot_record" ( "Record_ID" int, "Pilot_ID" int, "Aircraft_ID" int, "Date" text, PRIMARY KEY ("Pilot_ID", "Aircraft_ID", "Date"), FOREIGN KEY (`Pilot_ID`) REFERENCES `pilot`(`Pilot_ID`), FOREIGN KEY (`Aircraft_ID`) REFERENCES `aircraft`(`Aircraft_ID`) ) /* 1 example row: SELECT * FROM pilot_record LIMIT 1; Record_ID ||Pilot_ID ||Aircraft_ID || Date 1 || 1 || 1 ||2003/01/04 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Ref_Document_Types ( document_type_code CHAR(15) NOT NULL, document_type_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_type_code) ) /* 1 example row: SELECT * FROM ref_document_types LIMIT 1; document_type_code ||document_type_description CD || b */ CREATE TABLE Roles ( role_code CHAR(15) NOT NULL, role_description VARCHAR(255), PRIMARY KEY (role_code) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code ||role_description ED || Editor */ CREATE TABLE Addresses ( address_id INTEGER NOT NULL, address_details VARCHAR(255), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||address_details 0 || IT */ CREATE TABLE Ref_Document_Status ( document_status_code CHAR(15) NOT NULL, document_status_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_status_code) ) /* 1 example row: SELECT * FROM ref_document_status LIMIT 1; document_status_code ||document_status_description working || currently working on */ CREATE TABLE Ref_Shipping_Agents ( shipping_agent_code CHAR(15) NOT NULL, shipping_agent_name VARCHAR(255) NOT NULL, shipping_agent_description VARCHAR(255) NOT NULL, PRIMARY KEY (shipping_agent_code) ) /* 1 example row: SELECT * FROM ref_shipping_agents LIMIT 1; shipping_agent_code ||shipping_agent_name ||shipping_agent_description UP || UPS || g */ CREATE TABLE Documents ( document_id INTEGER NOT NULL, document_status_code CHAR(15) NOT NULL, document_type_code CHAR(15) NOT NULL, shipping_agent_code CHAR(15), receipt_date DATETIME, receipt_number VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (document_id), FOREIGN KEY (document_type_code) REFERENCES Ref_Document_Types (document_type_code), FOREIGN KEY (document_status_code) REFERENCES Ref_Document_Status (document_status_code), FOREIGN KEY (shipping_agent_code) REFERENCES Ref_Shipping_Agents (shipping_agent_code) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_status_code ||document_type_code ||shipping_agent_code || receipt_date ||receipt_number ||other_details 1 || working || CD || UP ||2008-04-21 20:42:25 || 19 || z */ CREATE TABLE Employees ( employee_id INTEGER NOT NULL, role_code CHAR(15) NOT NULL, employee_name VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (employee_id), FOREIGN KEY (role_code) REFERENCES Roles (role_code) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employee_id ||role_code ||employee_name ||other_details 1 || ED || Koby || h */ CREATE TABLE Document_Drafts ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, draft_details VARCHAR(255), PRIMARY KEY (document_id, draft_number), FOREIGN KEY (document_id) REFERENCES Documents (document_id) ) /* 1 example row: SELECT * FROM document_drafts LIMIT 1; document_id ||draft_number ||draft_details 1 || 0 || e */ CREATE TABLE Draft_Copies ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number), FOREIGN KEY (document_id, draft_number) REFERENCES Document_Drafts (document_id,draft_number) ) /* 1 example row: SELECT * FROM draft_copies LIMIT 1; document_id ||draft_number ||copy_number 2 || 8 || 5 */ CREATE TABLE Circulation_History ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, employee_id INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number, employee_id), FOREIGN KEY (document_id, draft_number, copy_number) REFERENCES Draft_Copies (document_id,draft_number,copy_number), FOREIGN KEY (employee_id) REFERENCES Employees (employee_id) ) /* 1 example row: SELECT * FROM circulation_history LIMIT 1; document_id ||draft_number ||copy_number ||employee_id 20 || 17 || 15 || 8 */ CREATE TABLE Documents_Mailed ( document_id INTEGER NOT NULL, mailed_to_address_id INTEGER NOT NULL, mailing_date DATETIME, PRIMARY KEY (document_id, mailed_to_address_id), FOREIGN KEY (document_id) REFERENCES Documents (document_id), FOREIGN KEY (mailed_to_address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM documents_mailed LIMIT 1; document_id ||mailed_to_address_id || mailing_date 2 || 8 ||1977-04-01 17:03:50 */ ### Question What is the description of document status code 'working'?
[query_database(**{'query': 'SELECT document_status_description FROM Ref_Document_Status WHERE document_status_code = "working";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Ref_Document_Types ( document_type_code CHAR(15) NOT NULL, document_type_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_type_code) ) /* 1 example row: SELECT * FROM ref_document_types LIMIT 1; document_type_code ||document_type_description CD || b */ CREATE TABLE Roles ( role_code CHAR(15) NOT NULL, role_description VARCHAR(255), PRIMARY KEY (role_code) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code ||role_description ED || Editor */ CREATE TABLE Addresses ( address_id INTEGER NOT NULL, address_details VARCHAR(255), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||address_details 0 || IT */ CREATE TABLE Ref_Document_Status ( document_status_code CHAR(15) NOT NULL, document_status_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_status_code) ) /* 1 example row: SELECT * FROM ref_document_status LIMIT 1; document_status_code ||document_status_description working || currently working on */ CREATE TABLE Ref_Shipping_Agents ( shipping_agent_code CHAR(15) NOT NULL, shipping_agent_name VARCHAR(255) NOT NULL, shipping_agent_description VARCHAR(255) NOT NULL, PRIMARY KEY (shipping_agent_code) ) /* 1 example row: SELECT * FROM ref_shipping_agents LIMIT 1; shipping_agent_code ||shipping_agent_name ||shipping_agent_description UP || UPS || g */ CREATE TABLE Documents ( document_id INTEGER NOT NULL, document_status_code CHAR(15) NOT NULL, document_type_code CHAR(15) NOT NULL, shipping_agent_code CHAR(15), receipt_date DATETIME, receipt_number VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (document_id), FOREIGN KEY (document_type_code) REFERENCES Ref_Document_Types (document_type_code), FOREIGN KEY (document_status_code) REFERENCES Ref_Document_Status (document_status_code), FOREIGN KEY (shipping_agent_code) REFERENCES Ref_Shipping_Agents (shipping_agent_code) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_status_code ||document_type_code ||shipping_agent_code || receipt_date ||receipt_number ||other_details 1 || working || CD || UP ||2008-04-21 20:42:25 || 19 || z */ CREATE TABLE Employees ( employee_id INTEGER NOT NULL, role_code CHAR(15) NOT NULL, employee_name VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (employee_id), FOREIGN KEY (role_code) REFERENCES Roles (role_code) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employee_id ||role_code ||employee_name ||other_details 1 || ED || Koby || h */ CREATE TABLE Document_Drafts ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, draft_details VARCHAR(255), PRIMARY KEY (document_id, draft_number), FOREIGN KEY (document_id) REFERENCES Documents (document_id) ) /* 1 example row: SELECT * FROM document_drafts LIMIT 1; document_id ||draft_number ||draft_details 1 || 0 || e */ CREATE TABLE Draft_Copies ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number), FOREIGN KEY (document_id, draft_number) REFERENCES Document_Drafts (document_id,draft_number) ) /* 1 example row: SELECT * FROM draft_copies LIMIT 1; document_id ||draft_number ||copy_number 2 || 8 || 5 */ CREATE TABLE Circulation_History ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, employee_id INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number, employee_id), FOREIGN KEY (document_id, draft_number, copy_number) REFERENCES Draft_Copies (document_id,draft_number,copy_number), FOREIGN KEY (employee_id) REFERENCES Employees (employee_id) ) /* 1 example row: SELECT * FROM circulation_history LIMIT 1; document_id ||draft_number ||copy_number ||employee_id 20 || 17 || 15 || 8 */ CREATE TABLE Documents_Mailed ( document_id INTEGER NOT NULL, mailed_to_address_id INTEGER NOT NULL, mailing_date DATETIME, PRIMARY KEY (document_id, mailed_to_address_id), FOREIGN KEY (document_id) REFERENCES Documents (document_id), FOREIGN KEY (mailed_to_address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM documents_mailed LIMIT 1; document_id ||mailed_to_address_id || mailing_date 2 || 8 ||1977-04-01 17:03:50 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Ref_Document_Types ( document_type_code CHAR(15) NOT NULL, document_type_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_type_code) ) /* 1 example row: SELECT * FROM ref_document_types LIMIT 1; document_type_code ||document_type_description CD || b */ CREATE TABLE Roles ( role_code CHAR(15) NOT NULL, role_description VARCHAR(255), PRIMARY KEY (role_code) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code ||role_description ED || Editor */ CREATE TABLE Addresses ( address_id INTEGER NOT NULL, address_details VARCHAR(255), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||address_details 0 || IT */ CREATE TABLE Ref_Document_Status ( document_status_code CHAR(15) NOT NULL, document_status_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_status_code) ) /* 1 example row: SELECT * FROM ref_document_status LIMIT 1; document_status_code ||document_status_description working || currently working on */ CREATE TABLE Ref_Shipping_Agents ( shipping_agent_code CHAR(15) NOT NULL, shipping_agent_name VARCHAR(255) NOT NULL, shipping_agent_description VARCHAR(255) NOT NULL, PRIMARY KEY (shipping_agent_code) ) /* 1 example row: SELECT * FROM ref_shipping_agents LIMIT 1; shipping_agent_code ||shipping_agent_name ||shipping_agent_description UP || UPS || g */ CREATE TABLE Documents ( document_id INTEGER NOT NULL, document_status_code CHAR(15) NOT NULL, document_type_code CHAR(15) NOT NULL, shipping_agent_code CHAR(15), receipt_date DATETIME, receipt_number VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (document_id), FOREIGN KEY (document_type_code) REFERENCES Ref_Document_Types (document_type_code), FOREIGN KEY (document_status_code) REFERENCES Ref_Document_Status (document_status_code), FOREIGN KEY (shipping_agent_code) REFERENCES Ref_Shipping_Agents (shipping_agent_code) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_status_code ||document_type_code ||shipping_agent_code || receipt_date ||receipt_number ||other_details 1 || working || CD || UP ||2008-04-21 20:42:25 || 19 || z */ CREATE TABLE Employees ( employee_id INTEGER NOT NULL, role_code CHAR(15) NOT NULL, employee_name VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (employee_id), FOREIGN KEY (role_code) REFERENCES Roles (role_code) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employee_id ||role_code ||employee_name ||other_details 1 || ED || Koby || h */ CREATE TABLE Document_Drafts ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, draft_details VARCHAR(255), PRIMARY KEY (document_id, draft_number), FOREIGN KEY (document_id) REFERENCES Documents (document_id) ) /* 1 example row: SELECT * FROM document_drafts LIMIT 1; document_id ||draft_number ||draft_details 1 || 0 || e */ CREATE TABLE Draft_Copies ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number), FOREIGN KEY (document_id, draft_number) REFERENCES Document_Drafts (document_id,draft_number) ) /* 1 example row: SELECT * FROM draft_copies LIMIT 1; document_id ||draft_number ||copy_number 2 || 8 || 5 */ CREATE TABLE Circulation_History ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, employee_id INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number, employee_id), FOREIGN KEY (document_id, draft_number, copy_number) REFERENCES Draft_Copies (document_id,draft_number,copy_number), FOREIGN KEY (employee_id) REFERENCES Employees (employee_id) ) /* 1 example row: SELECT * FROM circulation_history LIMIT 1; document_id ||draft_number ||copy_number ||employee_id 20 || 17 || 15 || 8 */ CREATE TABLE Documents_Mailed ( document_id INTEGER NOT NULL, mailed_to_address_id INTEGER NOT NULL, mailing_date DATETIME, PRIMARY KEY (document_id, mailed_to_address_id), FOREIGN KEY (document_id) REFERENCES Documents (document_id), FOREIGN KEY (mailed_to_address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM documents_mailed LIMIT 1; document_id ||mailed_to_address_id || mailing_date 2 || 8 ||1977-04-01 17:03:50 */ ### Question What is the shipping agent code of shipping agent UPS?
[query_database(**{'query': 'SELECT shipping_agent_code FROM Ref_Shipping_Agents WHERE shipping_agent_name = "UPS";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Ref_Document_Types ( document_type_code CHAR(15) NOT NULL, document_type_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_type_code) ) /* 1 example row: SELECT * FROM ref_document_types LIMIT 1; document_type_code ||document_type_description CD || b */ CREATE TABLE Roles ( role_code CHAR(15) NOT NULL, role_description VARCHAR(255), PRIMARY KEY (role_code) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code ||role_description ED || Editor */ CREATE TABLE Addresses ( address_id INTEGER NOT NULL, address_details VARCHAR(255), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||address_details 0 || IT */ CREATE TABLE Ref_Document_Status ( document_status_code CHAR(15) NOT NULL, document_status_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_status_code) ) /* 1 example row: SELECT * FROM ref_document_status LIMIT 1; document_status_code ||document_status_description working || currently working on */ CREATE TABLE Ref_Shipping_Agents ( shipping_agent_code CHAR(15) NOT NULL, shipping_agent_name VARCHAR(255) NOT NULL, shipping_agent_description VARCHAR(255) NOT NULL, PRIMARY KEY (shipping_agent_code) ) /* 1 example row: SELECT * FROM ref_shipping_agents LIMIT 1; shipping_agent_code ||shipping_agent_name ||shipping_agent_description UP || UPS || g */ CREATE TABLE Documents ( document_id INTEGER NOT NULL, document_status_code CHAR(15) NOT NULL, document_type_code CHAR(15) NOT NULL, shipping_agent_code CHAR(15), receipt_date DATETIME, receipt_number VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (document_id), FOREIGN KEY (document_type_code) REFERENCES Ref_Document_Types (document_type_code), FOREIGN KEY (document_status_code) REFERENCES Ref_Document_Status (document_status_code), FOREIGN KEY (shipping_agent_code) REFERENCES Ref_Shipping_Agents (shipping_agent_code) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_status_code ||document_type_code ||shipping_agent_code || receipt_date ||receipt_number ||other_details 1 || working || CD || UP ||2008-04-21 20:42:25 || 19 || z */ CREATE TABLE Employees ( employee_id INTEGER NOT NULL, role_code CHAR(15) NOT NULL, employee_name VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (employee_id), FOREIGN KEY (role_code) REFERENCES Roles (role_code) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employee_id ||role_code ||employee_name ||other_details 1 || ED || Koby || h */ CREATE TABLE Document_Drafts ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, draft_details VARCHAR(255), PRIMARY KEY (document_id, draft_number), FOREIGN KEY (document_id) REFERENCES Documents (document_id) ) /* 1 example row: SELECT * FROM document_drafts LIMIT 1; document_id ||draft_number ||draft_details 1 || 0 || e */ CREATE TABLE Draft_Copies ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number), FOREIGN KEY (document_id, draft_number) REFERENCES Document_Drafts (document_id,draft_number) ) /* 1 example row: SELECT * FROM draft_copies LIMIT 1; document_id ||draft_number ||copy_number 2 || 8 || 5 */ CREATE TABLE Circulation_History ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, employee_id INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number, employee_id), FOREIGN KEY (document_id, draft_number, copy_number) REFERENCES Draft_Copies (document_id,draft_number,copy_number), FOREIGN KEY (employee_id) REFERENCES Employees (employee_id) ) /* 1 example row: SELECT * FROM circulation_history LIMIT 1; document_id ||draft_number ||copy_number ||employee_id 20 || 17 || 15 || 8 */ CREATE TABLE Documents_Mailed ( document_id INTEGER NOT NULL, mailed_to_address_id INTEGER NOT NULL, mailing_date DATETIME, PRIMARY KEY (document_id, mailed_to_address_id), FOREIGN KEY (document_id) REFERENCES Documents (document_id), FOREIGN KEY (mailed_to_address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM documents_mailed LIMIT 1; document_id ||mailed_to_address_id || mailing_date 2 || 8 ||1977-04-01 17:03:50 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Ref_Document_Types ( document_type_code CHAR(15) NOT NULL, document_type_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_type_code) ) /* 1 example row: SELECT * FROM ref_document_types LIMIT 1; document_type_code ||document_type_description CD || b */ CREATE TABLE Roles ( role_code CHAR(15) NOT NULL, role_description VARCHAR(255), PRIMARY KEY (role_code) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code ||role_description ED || Editor */ CREATE TABLE Addresses ( address_id INTEGER NOT NULL, address_details VARCHAR(255), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||address_details 0 || IT */ CREATE TABLE Ref_Document_Status ( document_status_code CHAR(15) NOT NULL, document_status_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_status_code) ) /* 1 example row: SELECT * FROM ref_document_status LIMIT 1; document_status_code ||document_status_description working || currently working on */ CREATE TABLE Ref_Shipping_Agents ( shipping_agent_code CHAR(15) NOT NULL, shipping_agent_name VARCHAR(255) NOT NULL, shipping_agent_description VARCHAR(255) NOT NULL, PRIMARY KEY (shipping_agent_code) ) /* 1 example row: SELECT * FROM ref_shipping_agents LIMIT 1; shipping_agent_code ||shipping_agent_name ||shipping_agent_description UP || UPS || g */ CREATE TABLE Documents ( document_id INTEGER NOT NULL, document_status_code CHAR(15) NOT NULL, document_type_code CHAR(15) NOT NULL, shipping_agent_code CHAR(15), receipt_date DATETIME, receipt_number VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (document_id), FOREIGN KEY (document_type_code) REFERENCES Ref_Document_Types (document_type_code), FOREIGN KEY (document_status_code) REFERENCES Ref_Document_Status (document_status_code), FOREIGN KEY (shipping_agent_code) REFERENCES Ref_Shipping_Agents (shipping_agent_code) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_status_code ||document_type_code ||shipping_agent_code || receipt_date ||receipt_number ||other_details 1 || working || CD || UP ||2008-04-21 20:42:25 || 19 || z */ CREATE TABLE Employees ( employee_id INTEGER NOT NULL, role_code CHAR(15) NOT NULL, employee_name VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (employee_id), FOREIGN KEY (role_code) REFERENCES Roles (role_code) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employee_id ||role_code ||employee_name ||other_details 1 || ED || Koby || h */ CREATE TABLE Document_Drafts ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, draft_details VARCHAR(255), PRIMARY KEY (document_id, draft_number), FOREIGN KEY (document_id) REFERENCES Documents (document_id) ) /* 1 example row: SELECT * FROM document_drafts LIMIT 1; document_id ||draft_number ||draft_details 1 || 0 || e */ CREATE TABLE Draft_Copies ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number), FOREIGN KEY (document_id, draft_number) REFERENCES Document_Drafts (document_id,draft_number) ) /* 1 example row: SELECT * FROM draft_copies LIMIT 1; document_id ||draft_number ||copy_number 2 || 8 || 5 */ CREATE TABLE Circulation_History ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, employee_id INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number, employee_id), FOREIGN KEY (document_id, draft_number, copy_number) REFERENCES Draft_Copies (document_id,draft_number,copy_number), FOREIGN KEY (employee_id) REFERENCES Employees (employee_id) ) /* 1 example row: SELECT * FROM circulation_history LIMIT 1; document_id ||draft_number ||copy_number ||employee_id 20 || 17 || 15 || 8 */ CREATE TABLE Documents_Mailed ( document_id INTEGER NOT NULL, mailed_to_address_id INTEGER NOT NULL, mailing_date DATETIME, PRIMARY KEY (document_id, mailed_to_address_id), FOREIGN KEY (document_id) REFERENCES Documents (document_id), FOREIGN KEY (mailed_to_address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM documents_mailed LIMIT 1; document_id ||mailed_to_address_id || mailing_date 2 || 8 ||1977-04-01 17:03:50 */ ### Question What is the role of the employee named Koby?
[query_database(**{'query': 'SELECT T1.role_description FROM ROLES AS T1 JOIN Employees AS T2 ON T1.role_code = T2.role_code WHERE T2.employee_name = "Koby";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Ref_Document_Types ( document_type_code CHAR(15) NOT NULL, document_type_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_type_code) ) /* 1 example row: SELECT * FROM ref_document_types LIMIT 1; document_type_code ||document_type_description CD || b */ CREATE TABLE Roles ( role_code CHAR(15) NOT NULL, role_description VARCHAR(255), PRIMARY KEY (role_code) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code ||role_description ED || Editor */ CREATE TABLE Addresses ( address_id INTEGER NOT NULL, address_details VARCHAR(255), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||address_details 0 || IT */ CREATE TABLE Ref_Document_Status ( document_status_code CHAR(15) NOT NULL, document_status_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_status_code) ) /* 1 example row: SELECT * FROM ref_document_status LIMIT 1; document_status_code ||document_status_description working || currently working on */ CREATE TABLE Ref_Shipping_Agents ( shipping_agent_code CHAR(15) NOT NULL, shipping_agent_name VARCHAR(255) NOT NULL, shipping_agent_description VARCHAR(255) NOT NULL, PRIMARY KEY (shipping_agent_code) ) /* 1 example row: SELECT * FROM ref_shipping_agents LIMIT 1; shipping_agent_code ||shipping_agent_name ||shipping_agent_description UP || UPS || g */ CREATE TABLE Documents ( document_id INTEGER NOT NULL, document_status_code CHAR(15) NOT NULL, document_type_code CHAR(15) NOT NULL, shipping_agent_code CHAR(15), receipt_date DATETIME, receipt_number VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (document_id), FOREIGN KEY (document_type_code) REFERENCES Ref_Document_Types (document_type_code), FOREIGN KEY (document_status_code) REFERENCES Ref_Document_Status (document_status_code), FOREIGN KEY (shipping_agent_code) REFERENCES Ref_Shipping_Agents (shipping_agent_code) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_status_code ||document_type_code ||shipping_agent_code || receipt_date ||receipt_number ||other_details 1 || working || CD || UP ||2008-04-21 20:42:25 || 19 || z */ CREATE TABLE Employees ( employee_id INTEGER NOT NULL, role_code CHAR(15) NOT NULL, employee_name VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (employee_id), FOREIGN KEY (role_code) REFERENCES Roles (role_code) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employee_id ||role_code ||employee_name ||other_details 1 || ED || Koby || h */ CREATE TABLE Document_Drafts ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, draft_details VARCHAR(255), PRIMARY KEY (document_id, draft_number), FOREIGN KEY (document_id) REFERENCES Documents (document_id) ) /* 1 example row: SELECT * FROM document_drafts LIMIT 1; document_id ||draft_number ||draft_details 1 || 0 || e */ CREATE TABLE Draft_Copies ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number), FOREIGN KEY (document_id, draft_number) REFERENCES Document_Drafts (document_id,draft_number) ) /* 1 example row: SELECT * FROM draft_copies LIMIT 1; document_id ||draft_number ||copy_number 2 || 8 || 5 */ CREATE TABLE Circulation_History ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, employee_id INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number, employee_id), FOREIGN KEY (document_id, draft_number, copy_number) REFERENCES Draft_Copies (document_id,draft_number,copy_number), FOREIGN KEY (employee_id) REFERENCES Employees (employee_id) ) /* 1 example row: SELECT * FROM circulation_history LIMIT 1; document_id ||draft_number ||copy_number ||employee_id 20 || 17 || 15 || 8 */ CREATE TABLE Documents_Mailed ( document_id INTEGER NOT NULL, mailed_to_address_id INTEGER NOT NULL, mailing_date DATETIME, PRIMARY KEY (document_id, mailed_to_address_id), FOREIGN KEY (document_id) REFERENCES Documents (document_id), FOREIGN KEY (mailed_to_address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM documents_mailed LIMIT 1; document_id ||mailed_to_address_id || mailing_date 2 || 8 ||1977-04-01 17:03:50 */
2,111
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Ref_Document_Types ( document_type_code CHAR(15) NOT NULL, document_type_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_type_code) ) /* 1 example row: SELECT * FROM ref_document_types LIMIT 1; document_type_code ||document_type_description CD || b */ CREATE TABLE Roles ( role_code CHAR(15) NOT NULL, role_description VARCHAR(255), PRIMARY KEY (role_code) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code ||role_description ED || Editor */ CREATE TABLE Addresses ( address_id INTEGER NOT NULL, address_details VARCHAR(255), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||address_details 0 || IT */ CREATE TABLE Ref_Document_Status ( document_status_code CHAR(15) NOT NULL, document_status_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_status_code) ) /* 1 example row: SELECT * FROM ref_document_status LIMIT 1; document_status_code ||document_status_description working || currently working on */ CREATE TABLE Ref_Shipping_Agents ( shipping_agent_code CHAR(15) NOT NULL, shipping_agent_name VARCHAR(255) NOT NULL, shipping_agent_description VARCHAR(255) NOT NULL, PRIMARY KEY (shipping_agent_code) ) /* 1 example row: SELECT * FROM ref_shipping_agents LIMIT 1; shipping_agent_code ||shipping_agent_name ||shipping_agent_description UP || UPS || g */ CREATE TABLE Documents ( document_id INTEGER NOT NULL, document_status_code CHAR(15) NOT NULL, document_type_code CHAR(15) NOT NULL, shipping_agent_code CHAR(15), receipt_date DATETIME, receipt_number VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (document_id), FOREIGN KEY (document_type_code) REFERENCES Ref_Document_Types (document_type_code), FOREIGN KEY (document_status_code) REFERENCES Ref_Document_Status (document_status_code), FOREIGN KEY (shipping_agent_code) REFERENCES Ref_Shipping_Agents (shipping_agent_code) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_status_code ||document_type_code ||shipping_agent_code || receipt_date ||receipt_number ||other_details 1 || working || CD || UP ||2008-04-21 20:42:25 || 19 || z */ CREATE TABLE Employees ( employee_id INTEGER NOT NULL, role_code CHAR(15) NOT NULL, employee_name VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (employee_id), FOREIGN KEY (role_code) REFERENCES Roles (role_code) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employee_id ||role_code ||employee_name ||other_details 1 || ED || Koby || h */ CREATE TABLE Document_Drafts ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, draft_details VARCHAR(255), PRIMARY KEY (document_id, draft_number), FOREIGN KEY (document_id) REFERENCES Documents (document_id) ) /* 1 example row: SELECT * FROM document_drafts LIMIT 1; document_id ||draft_number ||draft_details 1 || 0 || e */ CREATE TABLE Draft_Copies ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number), FOREIGN KEY (document_id, draft_number) REFERENCES Document_Drafts (document_id,draft_number) ) /* 1 example row: SELECT * FROM draft_copies LIMIT 1; document_id ||draft_number ||copy_number 2 || 8 || 5 */ CREATE TABLE Circulation_History ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, employee_id INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number, employee_id), FOREIGN KEY (document_id, draft_number, copy_number) REFERENCES Draft_Copies (document_id,draft_number,copy_number), FOREIGN KEY (employee_id) REFERENCES Employees (employee_id) ) /* 1 example row: SELECT * FROM circulation_history LIMIT 1; document_id ||draft_number ||copy_number ||employee_id 20 || 17 || 15 || 8 */ CREATE TABLE Documents_Mailed ( document_id INTEGER NOT NULL, mailed_to_address_id INTEGER NOT NULL, mailing_date DATETIME, PRIMARY KEY (document_id, mailed_to_address_id), FOREIGN KEY (document_id) REFERENCES Documents (document_id), FOREIGN KEY (mailed_to_address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM documents_mailed LIMIT 1; document_id ||mailed_to_address_id || mailing_date 2 || 8 ||1977-04-01 17:03:50 */ ### Question What is the document status description of the document with id 1?
[query_database(**{'query': 'SELECT Ref_Document_Status.document_status_description FROM Ref_Document_Status JOIN Documents ON Documents.document_status_code = Ref_Document_Status.document_status_code WHERE Documents.document_id = 1;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Ref_Document_Types ( document_type_code CHAR(15) NOT NULL, document_type_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_type_code) ) /* 1 example row: SELECT * FROM ref_document_types LIMIT 1; document_type_code ||document_type_description CD || b */ CREATE TABLE Roles ( role_code CHAR(15) NOT NULL, role_description VARCHAR(255), PRIMARY KEY (role_code) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code ||role_description ED || Editor */ CREATE TABLE Addresses ( address_id INTEGER NOT NULL, address_details VARCHAR(255), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||address_details 0 || IT */ CREATE TABLE Ref_Document_Status ( document_status_code CHAR(15) NOT NULL, document_status_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_status_code) ) /* 1 example row: SELECT * FROM ref_document_status LIMIT 1; document_status_code ||document_status_description working || currently working on */ CREATE TABLE Ref_Shipping_Agents ( shipping_agent_code CHAR(15) NOT NULL, shipping_agent_name VARCHAR(255) NOT NULL, shipping_agent_description VARCHAR(255) NOT NULL, PRIMARY KEY (shipping_agent_code) ) /* 1 example row: SELECT * FROM ref_shipping_agents LIMIT 1; shipping_agent_code ||shipping_agent_name ||shipping_agent_description UP || UPS || g */ CREATE TABLE Documents ( document_id INTEGER NOT NULL, document_status_code CHAR(15) NOT NULL, document_type_code CHAR(15) NOT NULL, shipping_agent_code CHAR(15), receipt_date DATETIME, receipt_number VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (document_id), FOREIGN KEY (document_type_code) REFERENCES Ref_Document_Types (document_type_code), FOREIGN KEY (document_status_code) REFERENCES Ref_Document_Status (document_status_code), FOREIGN KEY (shipping_agent_code) REFERENCES Ref_Shipping_Agents (shipping_agent_code) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_status_code ||document_type_code ||shipping_agent_code || receipt_date ||receipt_number ||other_details 1 || working || CD || UP ||2008-04-21 20:42:25 || 19 || z */ CREATE TABLE Employees ( employee_id INTEGER NOT NULL, role_code CHAR(15) NOT NULL, employee_name VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (employee_id), FOREIGN KEY (role_code) REFERENCES Roles (role_code) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employee_id ||role_code ||employee_name ||other_details 1 || ED || Koby || h */ CREATE TABLE Document_Drafts ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, draft_details VARCHAR(255), PRIMARY KEY (document_id, draft_number), FOREIGN KEY (document_id) REFERENCES Documents (document_id) ) /* 1 example row: SELECT * FROM document_drafts LIMIT 1; document_id ||draft_number ||draft_details 1 || 0 || e */ CREATE TABLE Draft_Copies ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number), FOREIGN KEY (document_id, draft_number) REFERENCES Document_Drafts (document_id,draft_number) ) /* 1 example row: SELECT * FROM draft_copies LIMIT 1; document_id ||draft_number ||copy_number 2 || 8 || 5 */ CREATE TABLE Circulation_History ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, employee_id INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number, employee_id), FOREIGN KEY (document_id, draft_number, copy_number) REFERENCES Draft_Copies (document_id,draft_number,copy_number), FOREIGN KEY (employee_id) REFERENCES Employees (employee_id) ) /* 1 example row: SELECT * FROM circulation_history LIMIT 1; document_id ||draft_number ||copy_number ||employee_id 20 || 17 || 15 || 8 */ CREATE TABLE Documents_Mailed ( document_id INTEGER NOT NULL, mailed_to_address_id INTEGER NOT NULL, mailing_date DATETIME, PRIMARY KEY (document_id, mailed_to_address_id), FOREIGN KEY (document_id) REFERENCES Documents (document_id), FOREIGN KEY (mailed_to_address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM documents_mailed LIMIT 1; document_id ||mailed_to_address_id || mailing_date 2 || 8 ||1977-04-01 17:03:50 */
2,116
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Ref_Document_Types ( document_type_code CHAR(15) NOT NULL, document_type_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_type_code) ) /* 1 example row: SELECT * FROM ref_document_types LIMIT 1; document_type_code ||document_type_description CD || b */ CREATE TABLE Roles ( role_code CHAR(15) NOT NULL, role_description VARCHAR(255), PRIMARY KEY (role_code) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code ||role_description ED || Editor */ CREATE TABLE Addresses ( address_id INTEGER NOT NULL, address_details VARCHAR(255), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||address_details 0 || IT */ CREATE TABLE Ref_Document_Status ( document_status_code CHAR(15) NOT NULL, document_status_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_status_code) ) /* 1 example row: SELECT * FROM ref_document_status LIMIT 1; document_status_code ||document_status_description working || currently working on */ CREATE TABLE Ref_Shipping_Agents ( shipping_agent_code CHAR(15) NOT NULL, shipping_agent_name VARCHAR(255) NOT NULL, shipping_agent_description VARCHAR(255) NOT NULL, PRIMARY KEY (shipping_agent_code) ) /* 1 example row: SELECT * FROM ref_shipping_agents LIMIT 1; shipping_agent_code ||shipping_agent_name ||shipping_agent_description UP || UPS || g */ CREATE TABLE Documents ( document_id INTEGER NOT NULL, document_status_code CHAR(15) NOT NULL, document_type_code CHAR(15) NOT NULL, shipping_agent_code CHAR(15), receipt_date DATETIME, receipt_number VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (document_id), FOREIGN KEY (document_type_code) REFERENCES Ref_Document_Types (document_type_code), FOREIGN KEY (document_status_code) REFERENCES Ref_Document_Status (document_status_code), FOREIGN KEY (shipping_agent_code) REFERENCES Ref_Shipping_Agents (shipping_agent_code) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_status_code ||document_type_code ||shipping_agent_code || receipt_date ||receipt_number ||other_details 1 || working || CD || UP ||2008-04-21 20:42:25 || 19 || z */ CREATE TABLE Employees ( employee_id INTEGER NOT NULL, role_code CHAR(15) NOT NULL, employee_name VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (employee_id), FOREIGN KEY (role_code) REFERENCES Roles (role_code) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employee_id ||role_code ||employee_name ||other_details 1 || ED || Koby || h */ CREATE TABLE Document_Drafts ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, draft_details VARCHAR(255), PRIMARY KEY (document_id, draft_number), FOREIGN KEY (document_id) REFERENCES Documents (document_id) ) /* 1 example row: SELECT * FROM document_drafts LIMIT 1; document_id ||draft_number ||draft_details 1 || 0 || e */ CREATE TABLE Draft_Copies ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number), FOREIGN KEY (document_id, draft_number) REFERENCES Document_Drafts (document_id,draft_number) ) /* 1 example row: SELECT * FROM draft_copies LIMIT 1; document_id ||draft_number ||copy_number 2 || 8 || 5 */ CREATE TABLE Circulation_History ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, employee_id INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number, employee_id), FOREIGN KEY (document_id, draft_number, copy_number) REFERENCES Draft_Copies (document_id,draft_number,copy_number), FOREIGN KEY (employee_id) REFERENCES Employees (employee_id) ) /* 1 example row: SELECT * FROM circulation_history LIMIT 1; document_id ||draft_number ||copy_number ||employee_id 20 || 17 || 15 || 8 */ CREATE TABLE Documents_Mailed ( document_id INTEGER NOT NULL, mailed_to_address_id INTEGER NOT NULL, mailing_date DATETIME, PRIMARY KEY (document_id, mailed_to_address_id), FOREIGN KEY (document_id) REFERENCES Documents (document_id), FOREIGN KEY (mailed_to_address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM documents_mailed LIMIT 1; document_id ||mailed_to_address_id || mailing_date 2 || 8 ||1977-04-01 17:03:50 */ ### Question How many documents were shipped by USPS?
[query_database(**{'query': 'SELECT count(*) FROM Ref_Shipping_Agents JOIN Documents ON Documents.shipping_agent_code = Ref_Shipping_Agents.shipping_agent_code WHERE Ref_Shipping_Agents.shipping_agent_name = "USPS";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Ref_Document_Types ( document_type_code CHAR(15) NOT NULL, document_type_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_type_code) ) /* 1 example row: SELECT * FROM ref_document_types LIMIT 1; document_type_code ||document_type_description CD || b */ CREATE TABLE Roles ( role_code CHAR(15) NOT NULL, role_description VARCHAR(255), PRIMARY KEY (role_code) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code ||role_description ED || Editor */ CREATE TABLE Addresses ( address_id INTEGER NOT NULL, address_details VARCHAR(255), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||address_details 0 || IT */ CREATE TABLE Ref_Document_Status ( document_status_code CHAR(15) NOT NULL, document_status_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_status_code) ) /* 1 example row: SELECT * FROM ref_document_status LIMIT 1; document_status_code ||document_status_description working || currently working on */ CREATE TABLE Ref_Shipping_Agents ( shipping_agent_code CHAR(15) NOT NULL, shipping_agent_name VARCHAR(255) NOT NULL, shipping_agent_description VARCHAR(255) NOT NULL, PRIMARY KEY (shipping_agent_code) ) /* 1 example row: SELECT * FROM ref_shipping_agents LIMIT 1; shipping_agent_code ||shipping_agent_name ||shipping_agent_description UP || UPS || g */ CREATE TABLE Documents ( document_id INTEGER NOT NULL, document_status_code CHAR(15) NOT NULL, document_type_code CHAR(15) NOT NULL, shipping_agent_code CHAR(15), receipt_date DATETIME, receipt_number VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (document_id), FOREIGN KEY (document_type_code) REFERENCES Ref_Document_Types (document_type_code), FOREIGN KEY (document_status_code) REFERENCES Ref_Document_Status (document_status_code), FOREIGN KEY (shipping_agent_code) REFERENCES Ref_Shipping_Agents (shipping_agent_code) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_status_code ||document_type_code ||shipping_agent_code || receipt_date ||receipt_number ||other_details 1 || working || CD || UP ||2008-04-21 20:42:25 || 19 || z */ CREATE TABLE Employees ( employee_id INTEGER NOT NULL, role_code CHAR(15) NOT NULL, employee_name VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (employee_id), FOREIGN KEY (role_code) REFERENCES Roles (role_code) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employee_id ||role_code ||employee_name ||other_details 1 || ED || Koby || h */ CREATE TABLE Document_Drafts ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, draft_details VARCHAR(255), PRIMARY KEY (document_id, draft_number), FOREIGN KEY (document_id) REFERENCES Documents (document_id) ) /* 1 example row: SELECT * FROM document_drafts LIMIT 1; document_id ||draft_number ||draft_details 1 || 0 || e */ CREATE TABLE Draft_Copies ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number), FOREIGN KEY (document_id, draft_number) REFERENCES Document_Drafts (document_id,draft_number) ) /* 1 example row: SELECT * FROM draft_copies LIMIT 1; document_id ||draft_number ||copy_number 2 || 8 || 5 */ CREATE TABLE Circulation_History ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, employee_id INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number, employee_id), FOREIGN KEY (document_id, draft_number, copy_number) REFERENCES Draft_Copies (document_id,draft_number,copy_number), FOREIGN KEY (employee_id) REFERENCES Employees (employee_id) ) /* 1 example row: SELECT * FROM circulation_history LIMIT 1; document_id ||draft_number ||copy_number ||employee_id 20 || 17 || 15 || 8 */ CREATE TABLE Documents_Mailed ( document_id INTEGER NOT NULL, mailed_to_address_id INTEGER NOT NULL, mailing_date DATETIME, PRIMARY KEY (document_id, mailed_to_address_id), FOREIGN KEY (document_id) REFERENCES Documents (document_id), FOREIGN KEY (mailed_to_address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM documents_mailed LIMIT 1; document_id ||mailed_to_address_id || mailing_date 2 || 8 ||1977-04-01 17:03:50 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Ref_Document_Types ( document_type_code CHAR(15) NOT NULL, document_type_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_type_code) ) /* 1 example row: SELECT * FROM ref_document_types LIMIT 1; document_type_code ||document_type_description CD || b */ CREATE TABLE Roles ( role_code CHAR(15) NOT NULL, role_description VARCHAR(255), PRIMARY KEY (role_code) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code ||role_description ED || Editor */ CREATE TABLE Addresses ( address_id INTEGER NOT NULL, address_details VARCHAR(255), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||address_details 0 || IT */ CREATE TABLE Ref_Document_Status ( document_status_code CHAR(15) NOT NULL, document_status_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_status_code) ) /* 1 example row: SELECT * FROM ref_document_status LIMIT 1; document_status_code ||document_status_description working || currently working on */ CREATE TABLE Ref_Shipping_Agents ( shipping_agent_code CHAR(15) NOT NULL, shipping_agent_name VARCHAR(255) NOT NULL, shipping_agent_description VARCHAR(255) NOT NULL, PRIMARY KEY (shipping_agent_code) ) /* 1 example row: SELECT * FROM ref_shipping_agents LIMIT 1; shipping_agent_code ||shipping_agent_name ||shipping_agent_description UP || UPS || g */ CREATE TABLE Documents ( document_id INTEGER NOT NULL, document_status_code CHAR(15) NOT NULL, document_type_code CHAR(15) NOT NULL, shipping_agent_code CHAR(15), receipt_date DATETIME, receipt_number VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (document_id), FOREIGN KEY (document_type_code) REFERENCES Ref_Document_Types (document_type_code), FOREIGN KEY (document_status_code) REFERENCES Ref_Document_Status (document_status_code), FOREIGN KEY (shipping_agent_code) REFERENCES Ref_Shipping_Agents (shipping_agent_code) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_status_code ||document_type_code ||shipping_agent_code || receipt_date ||receipt_number ||other_details 1 || working || CD || UP ||2008-04-21 20:42:25 || 19 || z */ CREATE TABLE Employees ( employee_id INTEGER NOT NULL, role_code CHAR(15) NOT NULL, employee_name VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (employee_id), FOREIGN KEY (role_code) REFERENCES Roles (role_code) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employee_id ||role_code ||employee_name ||other_details 1 || ED || Koby || h */ CREATE TABLE Document_Drafts ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, draft_details VARCHAR(255), PRIMARY KEY (document_id, draft_number), FOREIGN KEY (document_id) REFERENCES Documents (document_id) ) /* 1 example row: SELECT * FROM document_drafts LIMIT 1; document_id ||draft_number ||draft_details 1 || 0 || e */ CREATE TABLE Draft_Copies ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number), FOREIGN KEY (document_id, draft_number) REFERENCES Document_Drafts (document_id,draft_number) ) /* 1 example row: SELECT * FROM draft_copies LIMIT 1; document_id ||draft_number ||copy_number 2 || 8 || 5 */ CREATE TABLE Circulation_History ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, employee_id INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number, employee_id), FOREIGN KEY (document_id, draft_number, copy_number) REFERENCES Draft_Copies (document_id,draft_number,copy_number), FOREIGN KEY (employee_id) REFERENCES Employees (employee_id) ) /* 1 example row: SELECT * FROM circulation_history LIMIT 1; document_id ||draft_number ||copy_number ||employee_id 20 || 17 || 15 || 8 */ CREATE TABLE Documents_Mailed ( document_id INTEGER NOT NULL, mailed_to_address_id INTEGER NOT NULL, mailing_date DATETIME, PRIMARY KEY (document_id, mailed_to_address_id), FOREIGN KEY (document_id) REFERENCES Documents (document_id), FOREIGN KEY (mailed_to_address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM documents_mailed LIMIT 1; document_id ||mailed_to_address_id || mailing_date 2 || 8 ||1977-04-01 17:03:50 */ ### Question List the document ids of documents with the status done and type Paper, which not shipped by the shipping agent named USPS.
[query_database(**{'query': 'SELECT document_id FROM Documents WHERE document_status_code = "done" AND document_type_code = "Paper" EXCEPT SELECT document_id FROM Documents JOIN Ref_Shipping_Agents ON Documents.shipping_agent_code = Ref_Shipping_Agents.shipping_agent_code WHERE Ref_Shipping_Agents.shipping_agent_name = "USPS";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Ref_Document_Types ( document_type_code CHAR(15) NOT NULL, document_type_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_type_code) ) /* 1 example row: SELECT * FROM ref_document_types LIMIT 1; document_type_code ||document_type_description CD || b */ CREATE TABLE Roles ( role_code CHAR(15) NOT NULL, role_description VARCHAR(255), PRIMARY KEY (role_code) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code ||role_description ED || Editor */ CREATE TABLE Addresses ( address_id INTEGER NOT NULL, address_details VARCHAR(255), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||address_details 0 || IT */ CREATE TABLE Ref_Document_Status ( document_status_code CHAR(15) NOT NULL, document_status_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_status_code) ) /* 1 example row: SELECT * FROM ref_document_status LIMIT 1; document_status_code ||document_status_description working || currently working on */ CREATE TABLE Ref_Shipping_Agents ( shipping_agent_code CHAR(15) NOT NULL, shipping_agent_name VARCHAR(255) NOT NULL, shipping_agent_description VARCHAR(255) NOT NULL, PRIMARY KEY (shipping_agent_code) ) /* 1 example row: SELECT * FROM ref_shipping_agents LIMIT 1; shipping_agent_code ||shipping_agent_name ||shipping_agent_description UP || UPS || g */ CREATE TABLE Documents ( document_id INTEGER NOT NULL, document_status_code CHAR(15) NOT NULL, document_type_code CHAR(15) NOT NULL, shipping_agent_code CHAR(15), receipt_date DATETIME, receipt_number VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (document_id), FOREIGN KEY (document_type_code) REFERENCES Ref_Document_Types (document_type_code), FOREIGN KEY (document_status_code) REFERENCES Ref_Document_Status (document_status_code), FOREIGN KEY (shipping_agent_code) REFERENCES Ref_Shipping_Agents (shipping_agent_code) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_status_code ||document_type_code ||shipping_agent_code || receipt_date ||receipt_number ||other_details 1 || working || CD || UP ||2008-04-21 20:42:25 || 19 || z */ CREATE TABLE Employees ( employee_id INTEGER NOT NULL, role_code CHAR(15) NOT NULL, employee_name VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (employee_id), FOREIGN KEY (role_code) REFERENCES Roles (role_code) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employee_id ||role_code ||employee_name ||other_details 1 || ED || Koby || h */ CREATE TABLE Document_Drafts ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, draft_details VARCHAR(255), PRIMARY KEY (document_id, draft_number), FOREIGN KEY (document_id) REFERENCES Documents (document_id) ) /* 1 example row: SELECT * FROM document_drafts LIMIT 1; document_id ||draft_number ||draft_details 1 || 0 || e */ CREATE TABLE Draft_Copies ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number), FOREIGN KEY (document_id, draft_number) REFERENCES Document_Drafts (document_id,draft_number) ) /* 1 example row: SELECT * FROM draft_copies LIMIT 1; document_id ||draft_number ||copy_number 2 || 8 || 5 */ CREATE TABLE Circulation_History ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, employee_id INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number, employee_id), FOREIGN KEY (document_id, draft_number, copy_number) REFERENCES Draft_Copies (document_id,draft_number,copy_number), FOREIGN KEY (employee_id) REFERENCES Employees (employee_id) ) /* 1 example row: SELECT * FROM circulation_history LIMIT 1; document_id ||draft_number ||copy_number ||employee_id 20 || 17 || 15 || 8 */ CREATE TABLE Documents_Mailed ( document_id INTEGER NOT NULL, mailed_to_address_id INTEGER NOT NULL, mailing_date DATETIME, PRIMARY KEY (document_id, mailed_to_address_id), FOREIGN KEY (document_id) REFERENCES Documents (document_id), FOREIGN KEY (mailed_to_address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM documents_mailed LIMIT 1; document_id ||mailed_to_address_id || mailing_date 2 || 8 ||1977-04-01 17:03:50 */
2,126
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Ref_Document_Types ( document_type_code CHAR(15) NOT NULL, document_type_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_type_code) ) /* 1 example row: SELECT * FROM ref_document_types LIMIT 1; document_type_code ||document_type_description CD || b */ CREATE TABLE Roles ( role_code CHAR(15) NOT NULL, role_description VARCHAR(255), PRIMARY KEY (role_code) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code ||role_description ED || Editor */ CREATE TABLE Addresses ( address_id INTEGER NOT NULL, address_details VARCHAR(255), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||address_details 0 || IT */ CREATE TABLE Ref_Document_Status ( document_status_code CHAR(15) NOT NULL, document_status_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_status_code) ) /* 1 example row: SELECT * FROM ref_document_status LIMIT 1; document_status_code ||document_status_description working || currently working on */ CREATE TABLE Ref_Shipping_Agents ( shipping_agent_code CHAR(15) NOT NULL, shipping_agent_name VARCHAR(255) NOT NULL, shipping_agent_description VARCHAR(255) NOT NULL, PRIMARY KEY (shipping_agent_code) ) /* 1 example row: SELECT * FROM ref_shipping_agents LIMIT 1; shipping_agent_code ||shipping_agent_name ||shipping_agent_description UP || UPS || g */ CREATE TABLE Documents ( document_id INTEGER NOT NULL, document_status_code CHAR(15) NOT NULL, document_type_code CHAR(15) NOT NULL, shipping_agent_code CHAR(15), receipt_date DATETIME, receipt_number VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (document_id), FOREIGN KEY (document_type_code) REFERENCES Ref_Document_Types (document_type_code), FOREIGN KEY (document_status_code) REFERENCES Ref_Document_Status (document_status_code), FOREIGN KEY (shipping_agent_code) REFERENCES Ref_Shipping_Agents (shipping_agent_code) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_status_code ||document_type_code ||shipping_agent_code || receipt_date ||receipt_number ||other_details 1 || working || CD || UP ||2008-04-21 20:42:25 || 19 || z */ CREATE TABLE Employees ( employee_id INTEGER NOT NULL, role_code CHAR(15) NOT NULL, employee_name VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (employee_id), FOREIGN KEY (role_code) REFERENCES Roles (role_code) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employee_id ||role_code ||employee_name ||other_details 1 || ED || Koby || h */ CREATE TABLE Document_Drafts ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, draft_details VARCHAR(255), PRIMARY KEY (document_id, draft_number), FOREIGN KEY (document_id) REFERENCES Documents (document_id) ) /* 1 example row: SELECT * FROM document_drafts LIMIT 1; document_id ||draft_number ||draft_details 1 || 0 || e */ CREATE TABLE Draft_Copies ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number), FOREIGN KEY (document_id, draft_number) REFERENCES Document_Drafts (document_id,draft_number) ) /* 1 example row: SELECT * FROM draft_copies LIMIT 1; document_id ||draft_number ||copy_number 2 || 8 || 5 */ CREATE TABLE Circulation_History ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, employee_id INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number, employee_id), FOREIGN KEY (document_id, draft_number, copy_number) REFERENCES Draft_Copies (document_id,draft_number,copy_number), FOREIGN KEY (employee_id) REFERENCES Employees (employee_id) ) /* 1 example row: SELECT * FROM circulation_history LIMIT 1; document_id ||draft_number ||copy_number ||employee_id 20 || 17 || 15 || 8 */ CREATE TABLE Documents_Mailed ( document_id INTEGER NOT NULL, mailed_to_address_id INTEGER NOT NULL, mailing_date DATETIME, PRIMARY KEY (document_id, mailed_to_address_id), FOREIGN KEY (document_id) REFERENCES Documents (document_id), FOREIGN KEY (mailed_to_address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM documents_mailed LIMIT 1; document_id ||mailed_to_address_id || mailing_date 2 || 8 ||1977-04-01 17:03:50 */ ### Question Which documents have more than 1 draft copies? List document id and number of draft copies.
[query_database(**{'query': 'SELECT document_id , count(*) FROM Draft_Copies GROUP BY document_id HAVING count(*) > 1;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Ref_Document_Types ( document_type_code CHAR(15) NOT NULL, document_type_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_type_code) ) /* 1 example row: SELECT * FROM ref_document_types LIMIT 1; document_type_code ||document_type_description CD || b */ CREATE TABLE Roles ( role_code CHAR(15) NOT NULL, role_description VARCHAR(255), PRIMARY KEY (role_code) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code ||role_description ED || Editor */ CREATE TABLE Addresses ( address_id INTEGER NOT NULL, address_details VARCHAR(255), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||address_details 0 || IT */ CREATE TABLE Ref_Document_Status ( document_status_code CHAR(15) NOT NULL, document_status_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_status_code) ) /* 1 example row: SELECT * FROM ref_document_status LIMIT 1; document_status_code ||document_status_description working || currently working on */ CREATE TABLE Ref_Shipping_Agents ( shipping_agent_code CHAR(15) NOT NULL, shipping_agent_name VARCHAR(255) NOT NULL, shipping_agent_description VARCHAR(255) NOT NULL, PRIMARY KEY (shipping_agent_code) ) /* 1 example row: SELECT * FROM ref_shipping_agents LIMIT 1; shipping_agent_code ||shipping_agent_name ||shipping_agent_description UP || UPS || g */ CREATE TABLE Documents ( document_id INTEGER NOT NULL, document_status_code CHAR(15) NOT NULL, document_type_code CHAR(15) NOT NULL, shipping_agent_code CHAR(15), receipt_date DATETIME, receipt_number VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (document_id), FOREIGN KEY (document_type_code) REFERENCES Ref_Document_Types (document_type_code), FOREIGN KEY (document_status_code) REFERENCES Ref_Document_Status (document_status_code), FOREIGN KEY (shipping_agent_code) REFERENCES Ref_Shipping_Agents (shipping_agent_code) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_status_code ||document_type_code ||shipping_agent_code || receipt_date ||receipt_number ||other_details 1 || working || CD || UP ||2008-04-21 20:42:25 || 19 || z */ CREATE TABLE Employees ( employee_id INTEGER NOT NULL, role_code CHAR(15) NOT NULL, employee_name VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (employee_id), FOREIGN KEY (role_code) REFERENCES Roles (role_code) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employee_id ||role_code ||employee_name ||other_details 1 || ED || Koby || h */ CREATE TABLE Document_Drafts ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, draft_details VARCHAR(255), PRIMARY KEY (document_id, draft_number), FOREIGN KEY (document_id) REFERENCES Documents (document_id) ) /* 1 example row: SELECT * FROM document_drafts LIMIT 1; document_id ||draft_number ||draft_details 1 || 0 || e */ CREATE TABLE Draft_Copies ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number), FOREIGN KEY (document_id, draft_number) REFERENCES Document_Drafts (document_id,draft_number) ) /* 1 example row: SELECT * FROM draft_copies LIMIT 1; document_id ||draft_number ||copy_number 2 || 8 || 5 */ CREATE TABLE Circulation_History ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, employee_id INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number, employee_id), FOREIGN KEY (document_id, draft_number, copy_number) REFERENCES Draft_Copies (document_id,draft_number,copy_number), FOREIGN KEY (employee_id) REFERENCES Employees (employee_id) ) /* 1 example row: SELECT * FROM circulation_history LIMIT 1; document_id ||draft_number ||copy_number ||employee_id 20 || 17 || 15 || 8 */ CREATE TABLE Documents_Mailed ( document_id INTEGER NOT NULL, mailed_to_address_id INTEGER NOT NULL, mailing_date DATETIME, PRIMARY KEY (document_id, mailed_to_address_id), FOREIGN KEY (document_id) REFERENCES Documents (document_id), FOREIGN KEY (mailed_to_address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM documents_mailed LIMIT 1; document_id ||mailed_to_address_id || mailing_date 2 || 8 ||1977-04-01 17:03:50 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Ref_Document_Types ( document_type_code CHAR(15) NOT NULL, document_type_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_type_code) ) /* 1 example row: SELECT * FROM ref_document_types LIMIT 1; document_type_code ||document_type_description CD || b */ CREATE TABLE Roles ( role_code CHAR(15) NOT NULL, role_description VARCHAR(255), PRIMARY KEY (role_code) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code ||role_description ED || Editor */ CREATE TABLE Addresses ( address_id INTEGER NOT NULL, address_details VARCHAR(255), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||address_details 0 || IT */ CREATE TABLE Ref_Document_Status ( document_status_code CHAR(15) NOT NULL, document_status_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_status_code) ) /* 1 example row: SELECT * FROM ref_document_status LIMIT 1; document_status_code ||document_status_description working || currently working on */ CREATE TABLE Ref_Shipping_Agents ( shipping_agent_code CHAR(15) NOT NULL, shipping_agent_name VARCHAR(255) NOT NULL, shipping_agent_description VARCHAR(255) NOT NULL, PRIMARY KEY (shipping_agent_code) ) /* 1 example row: SELECT * FROM ref_shipping_agents LIMIT 1; shipping_agent_code ||shipping_agent_name ||shipping_agent_description UP || UPS || g */ CREATE TABLE Documents ( document_id INTEGER NOT NULL, document_status_code CHAR(15) NOT NULL, document_type_code CHAR(15) NOT NULL, shipping_agent_code CHAR(15), receipt_date DATETIME, receipt_number VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (document_id), FOREIGN KEY (document_type_code) REFERENCES Ref_Document_Types (document_type_code), FOREIGN KEY (document_status_code) REFERENCES Ref_Document_Status (document_status_code), FOREIGN KEY (shipping_agent_code) REFERENCES Ref_Shipping_Agents (shipping_agent_code) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_status_code ||document_type_code ||shipping_agent_code || receipt_date ||receipt_number ||other_details 1 || working || CD || UP ||2008-04-21 20:42:25 || 19 || z */ CREATE TABLE Employees ( employee_id INTEGER NOT NULL, role_code CHAR(15) NOT NULL, employee_name VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (employee_id), FOREIGN KEY (role_code) REFERENCES Roles (role_code) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employee_id ||role_code ||employee_name ||other_details 1 || ED || Koby || h */ CREATE TABLE Document_Drafts ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, draft_details VARCHAR(255), PRIMARY KEY (document_id, draft_number), FOREIGN KEY (document_id) REFERENCES Documents (document_id) ) /* 1 example row: SELECT * FROM document_drafts LIMIT 1; document_id ||draft_number ||draft_details 1 || 0 || e */ CREATE TABLE Draft_Copies ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number), FOREIGN KEY (document_id, draft_number) REFERENCES Document_Drafts (document_id,draft_number) ) /* 1 example row: SELECT * FROM draft_copies LIMIT 1; document_id ||draft_number ||copy_number 2 || 8 || 5 */ CREATE TABLE Circulation_History ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, employee_id INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number, employee_id), FOREIGN KEY (document_id, draft_number, copy_number) REFERENCES Draft_Copies (document_id,draft_number,copy_number), FOREIGN KEY (employee_id) REFERENCES Employees (employee_id) ) /* 1 example row: SELECT * FROM circulation_history LIMIT 1; document_id ||draft_number ||copy_number ||employee_id 20 || 17 || 15 || 8 */ CREATE TABLE Documents_Mailed ( document_id INTEGER NOT NULL, mailed_to_address_id INTEGER NOT NULL, mailing_date DATETIME, PRIMARY KEY (document_id, mailed_to_address_id), FOREIGN KEY (document_id) REFERENCES Documents (document_id), FOREIGN KEY (mailed_to_address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM documents_mailed LIMIT 1; document_id ||mailed_to_address_id || mailing_date 2 || 8 ||1977-04-01 17:03:50 */ ### Question For each document, list the number of employees who have showed up in the circulation history of that document. List the document ids and number of employees.
[query_database(**{'query': 'SELECT document_id , count(DISTINCT employee_id) FROM Circulation_History GROUP BY document_id;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Ref_Document_Types ( document_type_code CHAR(15) NOT NULL, document_type_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_type_code) ) /* 1 example row: SELECT * FROM ref_document_types LIMIT 1; document_type_code ||document_type_description CD || b */ CREATE TABLE Roles ( role_code CHAR(15) NOT NULL, role_description VARCHAR(255), PRIMARY KEY (role_code) ) /* 1 example row: SELECT * FROM roles LIMIT 1; role_code ||role_description ED || Editor */ CREATE TABLE Addresses ( address_id INTEGER NOT NULL, address_details VARCHAR(255), PRIMARY KEY (address_id) ) /* 1 example row: SELECT * FROM addresses LIMIT 1; address_id ||address_details 0 || IT */ CREATE TABLE Ref_Document_Status ( document_status_code CHAR(15) NOT NULL, document_status_description VARCHAR(255) NOT NULL, PRIMARY KEY (document_status_code) ) /* 1 example row: SELECT * FROM ref_document_status LIMIT 1; document_status_code ||document_status_description working || currently working on */ CREATE TABLE Ref_Shipping_Agents ( shipping_agent_code CHAR(15) NOT NULL, shipping_agent_name VARCHAR(255) NOT NULL, shipping_agent_description VARCHAR(255) NOT NULL, PRIMARY KEY (shipping_agent_code) ) /* 1 example row: SELECT * FROM ref_shipping_agents LIMIT 1; shipping_agent_code ||shipping_agent_name ||shipping_agent_description UP || UPS || g */ CREATE TABLE Documents ( document_id INTEGER NOT NULL, document_status_code CHAR(15) NOT NULL, document_type_code CHAR(15) NOT NULL, shipping_agent_code CHAR(15), receipt_date DATETIME, receipt_number VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (document_id), FOREIGN KEY (document_type_code) REFERENCES Ref_Document_Types (document_type_code), FOREIGN KEY (document_status_code) REFERENCES Ref_Document_Status (document_status_code), FOREIGN KEY (shipping_agent_code) REFERENCES Ref_Shipping_Agents (shipping_agent_code) ) /* 1 example row: SELECT * FROM documents LIMIT 1; document_id ||document_status_code ||document_type_code ||shipping_agent_code || receipt_date ||receipt_number ||other_details 1 || working || CD || UP ||2008-04-21 20:42:25 || 19 || z */ CREATE TABLE Employees ( employee_id INTEGER NOT NULL, role_code CHAR(15) NOT NULL, employee_name VARCHAR(255), other_details VARCHAR(255), PRIMARY KEY (employee_id), FOREIGN KEY (role_code) REFERENCES Roles (role_code) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employee_id ||role_code ||employee_name ||other_details 1 || ED || Koby || h */ CREATE TABLE Document_Drafts ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, draft_details VARCHAR(255), PRIMARY KEY (document_id, draft_number), FOREIGN KEY (document_id) REFERENCES Documents (document_id) ) /* 1 example row: SELECT * FROM document_drafts LIMIT 1; document_id ||draft_number ||draft_details 1 || 0 || e */ CREATE TABLE Draft_Copies ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number), FOREIGN KEY (document_id, draft_number) REFERENCES Document_Drafts (document_id,draft_number) ) /* 1 example row: SELECT * FROM draft_copies LIMIT 1; document_id ||draft_number ||copy_number 2 || 8 || 5 */ CREATE TABLE Circulation_History ( document_id INTEGER NOT NULL, draft_number INTEGER NOT NULL, copy_number INTEGER NOT NULL, employee_id INTEGER NOT NULL, PRIMARY KEY (document_id, draft_number, copy_number, employee_id), FOREIGN KEY (document_id, draft_number, copy_number) REFERENCES Draft_Copies (document_id,draft_number,copy_number), FOREIGN KEY (employee_id) REFERENCES Employees (employee_id) ) /* 1 example row: SELECT * FROM circulation_history LIMIT 1; document_id ||draft_number ||copy_number ||employee_id 20 || 17 || 15 || 8 */ CREATE TABLE Documents_Mailed ( document_id INTEGER NOT NULL, mailed_to_address_id INTEGER NOT NULL, mailing_date DATETIME, PRIMARY KEY (document_id, mailed_to_address_id), FOREIGN KEY (document_id) REFERENCES Documents (document_id), FOREIGN KEY (mailed_to_address_id) REFERENCES Addresses (address_id) ) /* 1 example row: SELECT * FROM documents_mailed LIMIT 1; document_id ||mailed_to_address_id || mailing_date 2 || 8 ||1977-04-01 17:03:50 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE works_on( Essn INTEGER, Pno INTEGER, Hours REAL, PRIMARY KEY(Essn, Pno)) /* 1 example row: SELECT * FROM works_on LIMIT 1; Essn ||Pno ||Hours 123456789 || 1 || 32.5 */ CREATE TABLE employee( Fname TEXT, Minit TEXT, Lname TEXT, Ssn INTEGER PRIMARY KEY, Bdate TEXT, Address TEXT, Sex TEXT, Salary INTEGER, Super_ssn INTEGER, Dno INTEGER) /* 1 example row: SELECT * FROM employee LIMIT 1; Fname ||Minit ||Lname || Ssn || Bdate || Address ||Sex ||Salary ||Super_ssn ||Dno Jonh || B ||Smith ||123456789 ||1965-01-09 ||731 Fondren, Houston, TX || M || 30000 ||333445555 || 5 */ CREATE TABLE department( Dname TEXT, Dnumber INTEGER PRIMARY KEY, Mgr_ssn INTEGER, Mgr_start_date TEXT) /* 1 example row: SELECT * FROM department LIMIT 1; Dname ||Dnumber || Mgr_ssn ||Mgr_start_date Headquarters || 1 ||888665555 || 1981-06-19 */ CREATE TABLE project( Pname Text, Pnumber INTEGER PRIMARY KEY, Plocation TEXT, Dnum INTEGER) /* 1 example row: SELECT * FROM project LIMIT 1; Pname ||Pnumber ||Plocation ||Dnum ProductX || 1 || Bellaire || 5 */ CREATE TABLE dependent( Essn INTEGER, Dependent_name TEXT, Sex TEXT, Bdate TEXT, Relationship TEXT, PRIMARY KEY(Essn, Dependent_name)) /* 1 example row: SELECT * FROM dependent LIMIT 1; Essn ||Dependent_name ||Sex || Bdate ||Relationship 333445555 || Alice || F ||1986-04-05 || Daughter */ CREATE TABLE dept_locations( Dnumber INTEGER, Dlocation TEXT, PRIMARY KEY(Dnumber, Dlocation)) /* 1 example row: SELECT * FROM dept_locations LIMIT 1; Dnumber ||Dlocation 1 || Houston */ ### Question Find the names of departments that are located in Houston.
[query_database(**{'query': 'SELECT t1.dname FROM department AS t1 JOIN dept_locations AS t2 ON t1.dnumber = t2.dnumber WHERE t2.dlocation = 'Houston''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE works_on( Essn INTEGER, Pno INTEGER, Hours REAL, PRIMARY KEY(Essn, Pno)) /* 1 example row: SELECT * FROM works_on LIMIT 1; Essn ||Pno ||Hours 123456789 || 1 || 32.5 */ CREATE TABLE employee( Fname TEXT, Minit TEXT, Lname TEXT, Ssn INTEGER PRIMARY KEY, Bdate TEXT, Address TEXT, Sex TEXT, Salary INTEGER, Super_ssn INTEGER, Dno INTEGER) /* 1 example row: SELECT * FROM employee LIMIT 1; Fname ||Minit ||Lname || Ssn || Bdate || Address ||Sex ||Salary ||Super_ssn ||Dno Jonh || B ||Smith ||123456789 ||1965-01-09 ||731 Fondren, Houston, TX || M || 30000 ||333445555 || 5 */ CREATE TABLE department( Dname TEXT, Dnumber INTEGER PRIMARY KEY, Mgr_ssn INTEGER, Mgr_start_date TEXT) /* 1 example row: SELECT * FROM department LIMIT 1; Dname ||Dnumber || Mgr_ssn ||Mgr_start_date Headquarters || 1 ||888665555 || 1981-06-19 */ CREATE TABLE project( Pname Text, Pnumber INTEGER PRIMARY KEY, Plocation TEXT, Dnum INTEGER) /* 1 example row: SELECT * FROM project LIMIT 1; Pname ||Pnumber ||Plocation ||Dnum ProductX || 1 || Bellaire || 5 */ CREATE TABLE dependent( Essn INTEGER, Dependent_name TEXT, Sex TEXT, Bdate TEXT, Relationship TEXT, PRIMARY KEY(Essn, Dependent_name)) /* 1 example row: SELECT * FROM dependent LIMIT 1; Essn ||Dependent_name ||Sex || Bdate ||Relationship 333445555 || Alice || F ||1986-04-05 || Daughter */ CREATE TABLE dept_locations( Dnumber INTEGER, Dlocation TEXT, PRIMARY KEY(Dnumber, Dlocation)) /* 1 example row: SELECT * FROM dept_locations LIMIT 1; Dnumber ||Dlocation 1 || Houston */
2,138
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Services ( Service_ID INTEGER NOT NULL, Service_Type_Code CHAR(15) NOT NULL, PRIMARY KEY (Service_ID) ) /* 1 example row: SELECT * FROM services LIMIT 1; Service_ID ||Service_Type_Code 2 || Marriage */ CREATE TABLE Participants ( Participant_ID INTEGER NOT NULL, Participant_Type_Code CHAR(15) NOT NULL, Participant_Details VARCHAR(255), PRIMARY KEY (Participant_ID) ) /* 1 example row: SELECT * FROM participants LIMIT 1; Participant_ID ||Participant_Type_Code ||Participant_Details 9 || Organizer || Karlee Batz */ CREATE TABLE Events ( Event_ID INTEGER NOT NULL, Service_ID INTEGER NOT NULL, Event_Details VARCHAR(255), PRIMARY KEY (Event_ID), FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID) ) /* 1 example row: SELECT * FROM events LIMIT 1; Event_ID ||Service_ID ||Event_Details 3 || 5 || Success */ CREATE TABLE Participants_in_Events ( Event_ID INTEGER NOT NULL, Participant_ID INTEGER NOT NULL, PRIMARY KEY (Event_ID, Participant_ID), FOREIGN KEY (Participant_ID) REFERENCES Participants (Participant_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM participants_in_events LIMIT 1; Event_ID ||Participant_ID 3 || 26 */ ### Question what are the event details of the services that have the type code 'Marriage'?
[query_database(**{'query': 'SELECT T1.event_details FROM EVENTS AS T1 JOIN Services AS T2 ON T1.Service_ID = T2.Service_ID WHERE T2.Service_Type_Code = 'Marriage''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Services ( Service_ID INTEGER NOT NULL, Service_Type_Code CHAR(15) NOT NULL, PRIMARY KEY (Service_ID) ) /* 1 example row: SELECT * FROM services LIMIT 1; Service_ID ||Service_Type_Code 2 || Marriage */ CREATE TABLE Participants ( Participant_ID INTEGER NOT NULL, Participant_Type_Code CHAR(15) NOT NULL, Participant_Details VARCHAR(255), PRIMARY KEY (Participant_ID) ) /* 1 example row: SELECT * FROM participants LIMIT 1; Participant_ID ||Participant_Type_Code ||Participant_Details 9 || Organizer || Karlee Batz */ CREATE TABLE Events ( Event_ID INTEGER NOT NULL, Service_ID INTEGER NOT NULL, Event_Details VARCHAR(255), PRIMARY KEY (Event_ID), FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID) ) /* 1 example row: SELECT * FROM events LIMIT 1; Event_ID ||Service_ID ||Event_Details 3 || 5 || Success */ CREATE TABLE Participants_in_Events ( Event_ID INTEGER NOT NULL, Participant_ID INTEGER NOT NULL, PRIMARY KEY (Event_ID, Participant_ID), FOREIGN KEY (Participant_ID) REFERENCES Participants (Participant_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM participants_in_events LIMIT 1; Event_ID ||Participant_ID 3 || 26 */
2,142
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Services ( Service_ID INTEGER NOT NULL, Service_Type_Code CHAR(15) NOT NULL, PRIMARY KEY (Service_ID) ) /* 1 example row: SELECT * FROM services LIMIT 1; Service_ID ||Service_Type_Code 2 || Marriage */ CREATE TABLE Participants ( Participant_ID INTEGER NOT NULL, Participant_Type_Code CHAR(15) NOT NULL, Participant_Details VARCHAR(255), PRIMARY KEY (Participant_ID) ) /* 1 example row: SELECT * FROM participants LIMIT 1; Participant_ID ||Participant_Type_Code ||Participant_Details 9 || Organizer || Karlee Batz */ CREATE TABLE Events ( Event_ID INTEGER NOT NULL, Service_ID INTEGER NOT NULL, Event_Details VARCHAR(255), PRIMARY KEY (Event_ID), FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID) ) /* 1 example row: SELECT * FROM events LIMIT 1; Event_ID ||Service_ID ||Event_Details 3 || 5 || Success */ CREATE TABLE Participants_in_Events ( Event_ID INTEGER NOT NULL, Participant_ID INTEGER NOT NULL, PRIMARY KEY (Event_ID, Participant_ID), FOREIGN KEY (Participant_ID) REFERENCES Participants (Participant_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM participants_in_events LIMIT 1; Event_ID ||Participant_ID 3 || 26 */ ### Question How many participants belong to the type 'Organizer'?
[query_database(**{'query': 'SELECT count(*) FROM participants WHERE participant_type_code = 'Organizer''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Services ( Service_ID INTEGER NOT NULL, Service_Type_Code CHAR(15) NOT NULL, PRIMARY KEY (Service_ID) ) /* 1 example row: SELECT * FROM services LIMIT 1; Service_ID ||Service_Type_Code 2 || Marriage */ CREATE TABLE Participants ( Participant_ID INTEGER NOT NULL, Participant_Type_Code CHAR(15) NOT NULL, Participant_Details VARCHAR(255), PRIMARY KEY (Participant_ID) ) /* 1 example row: SELECT * FROM participants LIMIT 1; Participant_ID ||Participant_Type_Code ||Participant_Details 9 || Organizer || Karlee Batz */ CREATE TABLE Events ( Event_ID INTEGER NOT NULL, Service_ID INTEGER NOT NULL, Event_Details VARCHAR(255), PRIMARY KEY (Event_ID), FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID) ) /* 1 example row: SELECT * FROM events LIMIT 1; Event_ID ||Service_ID ||Event_Details 3 || 5 || Success */ CREATE TABLE Participants_in_Events ( Event_ID INTEGER NOT NULL, Participant_ID INTEGER NOT NULL, PRIMARY KEY (Event_ID, Participant_ID), FOREIGN KEY (Participant_ID) REFERENCES Participants (Participant_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM participants_in_events LIMIT 1; Event_ID ||Participant_ID 3 || 26 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Services ( Service_ID INTEGER NOT NULL, Service_Type_Code CHAR(15) NOT NULL, PRIMARY KEY (Service_ID) ) /* 1 example row: SELECT * FROM services LIMIT 1; Service_ID ||Service_Type_Code 2 || Marriage */ CREATE TABLE Participants ( Participant_ID INTEGER NOT NULL, Participant_Type_Code CHAR(15) NOT NULL, Participant_Details VARCHAR(255), PRIMARY KEY (Participant_ID) ) /* 1 example row: SELECT * FROM participants LIMIT 1; Participant_ID ||Participant_Type_Code ||Participant_Details 9 || Organizer || Karlee Batz */ CREATE TABLE Events ( Event_ID INTEGER NOT NULL, Service_ID INTEGER NOT NULL, Event_Details VARCHAR(255), PRIMARY KEY (Event_ID), FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID) ) /* 1 example row: SELECT * FROM events LIMIT 1; Event_ID ||Service_ID ||Event_Details 3 || 5 || Success */ CREATE TABLE Participants_in_Events ( Event_ID INTEGER NOT NULL, Participant_ID INTEGER NOT NULL, PRIMARY KEY (Event_ID, Participant_ID), FOREIGN KEY (Participant_ID) REFERENCES Participants (Participant_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM participants_in_events LIMIT 1; Event_ID ||Participant_ID 3 || 26 */ ### Question What is the most common participant type?
[query_database(**{'query': 'SELECT participant_type_code FROM participants GROUP BY participant_type_code ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Services ( Service_ID INTEGER NOT NULL, Service_Type_Code CHAR(15) NOT NULL, PRIMARY KEY (Service_ID) ) /* 1 example row: SELECT * FROM services LIMIT 1; Service_ID ||Service_Type_Code 2 || Marriage */ CREATE TABLE Participants ( Participant_ID INTEGER NOT NULL, Participant_Type_Code CHAR(15) NOT NULL, Participant_Details VARCHAR(255), PRIMARY KEY (Participant_ID) ) /* 1 example row: SELECT * FROM participants LIMIT 1; Participant_ID ||Participant_Type_Code ||Participant_Details 9 || Organizer || Karlee Batz */ CREATE TABLE Events ( Event_ID INTEGER NOT NULL, Service_ID INTEGER NOT NULL, Event_Details VARCHAR(255), PRIMARY KEY (Event_ID), FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID) ) /* 1 example row: SELECT * FROM events LIMIT 1; Event_ID ||Service_ID ||Event_Details 3 || 5 || Success */ CREATE TABLE Participants_in_Events ( Event_ID INTEGER NOT NULL, Participant_ID INTEGER NOT NULL, PRIMARY KEY (Event_ID, Participant_ID), FOREIGN KEY (Participant_ID) REFERENCES Participants (Participant_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM participants_in_events LIMIT 1; Event_ID ||Participant_ID 3 || 26 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Services ( Service_ID INTEGER NOT NULL, Service_Type_Code CHAR(15) NOT NULL, PRIMARY KEY (Service_ID) ) /* 1 example row: SELECT * FROM services LIMIT 1; Service_ID ||Service_Type_Code 2 || Marriage */ CREATE TABLE Participants ( Participant_ID INTEGER NOT NULL, Participant_Type_Code CHAR(15) NOT NULL, Participant_Details VARCHAR(255), PRIMARY KEY (Participant_ID) ) /* 1 example row: SELECT * FROM participants LIMIT 1; Participant_ID ||Participant_Type_Code ||Participant_Details 9 || Organizer || Karlee Batz */ CREATE TABLE Events ( Event_ID INTEGER NOT NULL, Service_ID INTEGER NOT NULL, Event_Details VARCHAR(255), PRIMARY KEY (Event_ID), FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID) ) /* 1 example row: SELECT * FROM events LIMIT 1; Event_ID ||Service_ID ||Event_Details 3 || 5 || Success */ CREATE TABLE Participants_in_Events ( Event_ID INTEGER NOT NULL, Participant_ID INTEGER NOT NULL, PRIMARY KEY (Event_ID, Participant_ID), FOREIGN KEY (Participant_ID) REFERENCES Participants (Participant_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM participants_in_events LIMIT 1; Event_ID ||Participant_ID 3 || 26 */ ### Question Which services type had both successful and failure event details?
[query_database(**{'query': 'SELECT T1.service_type_code FROM services AS T1 JOIN EVENTS AS T2 ON T1.service_id = T2.service_id WHERE T2.event_details = 'Success' INTERSECT SELECT T1.service_type_code FROM services AS T1 JOIN EVENTS AS T2 ON T1.service_id = T2.service_id WHERE T2.event_details = 'Fail''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Services ( Service_ID INTEGER NOT NULL, Service_Type_Code CHAR(15) NOT NULL, PRIMARY KEY (Service_ID) ) /* 1 example row: SELECT * FROM services LIMIT 1; Service_ID ||Service_Type_Code 2 || Marriage */ CREATE TABLE Participants ( Participant_ID INTEGER NOT NULL, Participant_Type_Code CHAR(15) NOT NULL, Participant_Details VARCHAR(255), PRIMARY KEY (Participant_ID) ) /* 1 example row: SELECT * FROM participants LIMIT 1; Participant_ID ||Participant_Type_Code ||Participant_Details 9 || Organizer || Karlee Batz */ CREATE TABLE Events ( Event_ID INTEGER NOT NULL, Service_ID INTEGER NOT NULL, Event_Details VARCHAR(255), PRIMARY KEY (Event_ID), FOREIGN KEY (Service_ID) REFERENCES Services (Service_ID) ) /* 1 example row: SELECT * FROM events LIMIT 1; Event_ID ||Service_ID ||Event_Details 3 || 5 || Success */ CREATE TABLE Participants_in_Events ( Event_ID INTEGER NOT NULL, Participant_ID INTEGER NOT NULL, PRIMARY KEY (Event_ID, Participant_ID), FOREIGN KEY (Participant_ID) REFERENCES Participants (Participant_ID), FOREIGN KEY (Event_ID) REFERENCES Events (Event_ID) ) /* 1 example row: SELECT * FROM participants_in_events LIMIT 1; Event_ID ||Participant_ID 3 || 26 */
2,154
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question What is the name of the race that occurred most recently?
[query_database(**{'query': 'SELECT name FROM races ORDER BY date 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 "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question Find the names of all races held in 2017.
[query_database(**{'query': 'SELECT name FROM races WHERE YEAR = 2017'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question List the forename and surname of all distinct drivers who once had laptime less than 93000 milliseconds?
[query_database(**{'query': 'SELECT DISTINCT T1.forename , T1.surname FROM drivers AS T1 JOIN laptimes AS T2 ON T1.driverid = T2.driverid WHERE T2.milliseconds < 93000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question What are the forename and surname of the driver who has the smallest laptime?
[query_database(**{'query': 'SELECT T1.forename , T1.surname FROM drivers AS T1 JOIN laptimes AS T2 ON T1.driverid = T2.driverid ORDER BY T2.milliseconds 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 "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
2,169
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question What is the id, forname and surname of the driver who had the first position in terms of laptime at least twice?
[query_database(**{'query': 'SELECT T1.driverid , T1.forename , T1.surname FROM drivers AS T1 JOIN laptimes AS T2 ON T1.driverid = T2.driverid WHERE POSITION = '1' GROUP BY T1.driverid HAVING count(*) >= 2'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
2,173
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question How many drivers did not participate in the races held in 2009?
[query_database(**{'query': 'SELECT count(DISTINCT driverId) FROM results WHERE raceId NOT IN( SELECT raceId FROM races WHERE YEAR != 2009 )'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
2,177
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question Find the forename and surname of drivers whose nationality is German?
[query_database(**{'query': 'SELECT forename , surname FROM drivers WHERE nationality = "German"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
2,181
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question What are the forenames and surnames of drivers who participated in the races named Australian Grand Prix but not the races named Chinese Grand Prix?
[query_database(**{'query': 'SELECT T3.forename , T3.surname FROM races AS T1 JOIN results AS T2 ON T1.raceid = T2.raceid JOIN drivers AS T3 ON T2.driverid = T3.driverid WHERE T1.name = "Australian Grand Prix" EXCEPT SELECT T3.forename , T3.surname FROM races AS T1 JOIN results AS T2 ON T1.raceid = T2.raceid JOIN drivers AS T3 ON T2.driverid = T3.driverid WHERE T1.name = "Chinese Grand Prix"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
2,185
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question Find all the forenames of distinct drivers who won in position 1 as driver standing and had more than 20 points?
[query_database(**{'query': 'SELECT DISTINCT T1.forename FROM drivers AS T1 JOIN driverstandings AS T2 ON T1.driverid = T2.driverid WHERE T2.position = 1 AND T2.wins = 1 AND T2.points > 20'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
2,190
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question For each constructor id, how many races are there?
[query_database(**{'query': 'SELECT count(*) , constructorid FROM constructorStandings GROUP BY constructorid'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question What are the names of all races held after 2000 in Spain?
[query_database(**{'query': 'SELECT DISTINCT T1.name FROM races AS T1 JOIN circuits AS T2 ON T1.circuitid = T2.circuitid WHERE T2.country = "Spain" AND T1.year > 2000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
2,198
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question What are the different ids and stop durations of all the drivers whose stop lasted longer than the driver in the race with the id 841?
[query_database(**{'query': 'SELECT DISTINCT driverid , STOP FROM pitstops WHERE duration > (SELECT min(duration) FROM pitstops WHERE raceid = 841)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
2,203
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question What are the names of races held between 2009 and 2011?
[query_database(**{'query': 'SELECT name FROM races WHERE YEAR BETWEEN 2009 AND 2011'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question What are the drivers' first, last names and id who had more than 8 pit stops or participated in more than 5 race results?
[query_database(**{'query': 'SELECT T1.forename , T1.surname , T1.driverid FROM drivers AS T1 JOIN pitstops AS T2 ON T1.driverid = T2.driverid GROUP BY T1.driverid HAVING count(*) > 8 UNION SELECT T1.forename , T1.surname , T1.driverid FROM drivers AS T1 JOIN results AS T2 ON T1.driverid = T2.driverid GROUP BY T1.driverid HAVING count(*) > 5'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
2,211
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question What is the id and last name of the driver who participated in the most races after 2010?
[query_database(**{'query': 'SELECT T1.driverid , T1.surname FROM drivers AS T1 JOIN results AS T2 ON T1.driverid = T2.driverid JOIN races AS T3 ON T2.raceid = T3.raceid WHERE T3.year > 2010 GROUP BY T1.driverid ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
2,215
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question Find the id and location of circuits that belong to France or Belgium?
[query_database(**{'query': 'SELECT circuitid , LOCATION FROM circuits WHERE country = "France" OR country = "Belgium"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
2,219
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question What is the average fastest lap speed in race named 'Monaco Grand Prix' in 2008 ?
[query_database(**{'query': 'SELECT avg(T2.fastestlapspeed) FROM races AS T1 JOIN results AS T2 ON T1.raceid = T2.raceid WHERE T1.year = 2008 AND T1.name = "Monaco Grand Prix"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question What are the maximum fastest lap speed in races held after 2004 grouped by race name and ordered by year?
[query_database(**{'query': 'SELECT max(T2.fastestlapspeed) , T1.name , T1.year FROM races AS T1 JOIN results AS T2 ON T1.raceid = T2.raceid WHERE T1.year > 2014 GROUP BY T1.name ORDER BY T1.year'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
2,227
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question Find the id, forename and number of races of all drivers who have at least participated in two races?
[query_database(**{'query': 'SELECT T1.driverid , T1.forename , count(*) FROM drivers AS T1 JOIN results AS T2 ON T1.driverid = T2.driverid JOIN races AS T3 ON T2.raceid = T3.raceid GROUP BY T1.driverid HAVING count(*) >= 2'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */ ### Question Find the id and surname of the driver who participated the most number of races?
[query_database(**{'query': 'SELECT T1.driverid , T1.surname FROM drivers AS T1 JOIN results AS T2 ON T1.driverid = T2.driverid JOIN races AS T3 ON T2.raceid = T3.raceid GROUP BY T1.driverid ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "circuits" ( "circuitId" INTEGER PRIMARY KEY, "circuitRef" TEXT, "name" TEXT, "location" TEXT, "country" TEXT, "lat" REAL, "lng" REAL, "alt" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM circuits LIMIT 1; circuitId || circuitRef || name || location || country || lat || lng ||alt || url 1 ||albert_park ||Albert Park Grand Prix Circuit ||Melbourne ||Australia ||-37.8497 ||144.968 || 10 ||http://en.wikipedia.org/wiki/Melbourne_Grand_Prix_Circuit */ CREATE TABLE "races" ( "raceId" INTEGER PRIMARY KEY, "year" INTEGER, "round" INTEGER, "circuitId" INTEGER, "name" TEXT, "date" TEXT, "time" TEXT, "url" TEXT, FOREIGN KEY ("circuitId") REFERENCES "circuits"("circuitId") ) /* 1 example row: SELECT * FROM races LIMIT 1; raceId ||year ||round ||circuitId || name || date || time || url 1 ||2009 || 1 || 1 ||Australian Grand Prix ||2009-03-29 ||06:00:00 ||http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix */ CREATE TABLE "drivers" ( "driverId" INTEGER PRIMARY KEY, "driverRef" TEXT, "number" TEXT, "code" TEXT, "forename" TEXT, "surname" TEXT, "dob" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM drivers LIMIT 1; driverId ||driverRef ||number ||code ||forename || surname || dob ||nationality || url 1 || hamilton || 44 || HAM || Lewis ||Hamilton ||07/01/1985 || British ||http://en.wikipedia.org/wiki/Lewis_Hamilton */ CREATE TABLE "status" ( "statusId" INTEGER PRIMARY KEY, "status" TEXT ) /* 1 example row: SELECT * FROM status LIMIT 1; statusId || status 1 ||Finished */ CREATE TABLE "seasons" ( "year" INTEGER PRIMARY KEY, "url" TEXT ) /* 1 example row: SELECT * FROM seasons LIMIT 1; year || url 1950 ||http://en.wikipedia.org/wiki/1950_Formula_One_season */ CREATE TABLE "constructors" ( "constructorId" INTEGER PRIMARY KEY, "constructorRef" TEXT, "name" TEXT, "nationality" TEXT, "url" TEXT ) /* 1 example row: SELECT * FROM constructors LIMIT 1; constructorId ||constructorRef || name ||nationality || url 1 || mclaren ||McLaren || British ||http://en.wikipedia.org/wiki/McLaren */ CREATE TABLE "constructorStandings" ( "constructorStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorstandings LIMIT 1; constructorStandingsId ||raceId ||constructorId ||points ||position ||positionText ||wins 1 || 18 || 1 || 14.0 || 1 || 1 || 1 */ CREATE TABLE "results" ( "resultId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "grid" INTEGER, "position" TEXT, "positionText" TEXT, "positionOrder" INTEGER, "points" REAL, "laps" TEXT, "time" TEXT, "milliseconds" TEXT, "fastestLap" TEXT, "rank" TEXT, "fastestLapTime" TEXT, "fastestLapSpeed" TEXT, "statusId" INTEGER, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM results LIMIT 1; resultId ||raceId ||driverId ||constructorId ||number ||grid ||position ||positionText ||positionOrder ||points ||laps || time ||milliseconds ||fastestLap ||rank ||fastestLapTime ||fastestLapSpeed ||statusId 1 || 18 || 1 || 1 || 22 || 1 || 1 || 1 || 1 || 10.0 || 58 ||34:50.6 || 5690616 || 39 || 2 || 01:27.5 || 218.3 || 1 */ CREATE TABLE "driverStandings" ( "driverStandingsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "points" REAL, "position" INTEGER, "positionText" TEXT, "wins" INTEGER, FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM driverstandings LIMIT 1; driverStandingsId ||raceId ||driverId ||points ||position ||positionText ||wins 1 || 18 || 1 || 10.0 || 1 || 1 || 1 */ CREATE TABLE "constructorResults" ( "constructorResultsId" INTEGER PRIMARY KEY, "raceId" INTEGER, "constructorId" INTEGER, "points" REAL, "status" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId") ) /* 1 example row: SELECT * FROM constructorresults LIMIT 1; constructorResultsId ||raceId ||constructorId ||points ||status 1 || 18 || 1 || 14.0 || NULL */ CREATE TABLE "qualifying" ( "qualifyId" INTEGER PRIMARY KEY, "raceId" INTEGER, "driverId" INTEGER, "constructorId" INTEGER, "number" INTEGER, "position" INTEGER, "q1" TEXT, "q2" TEXT, "q3" TEXT, FOREIGN KEY("constructorId") REFERENCES "constructors"("constructorId"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM qualifying LIMIT 1; qualifyId ||raceId ||driverId ||constructorId ||number ||position || q1 || q2 || q3 1 || 18 || 1 || 1 || 22 || 1 ||1:26.572 ||1:25.187 ||1:26.714 */ CREATE TABLE "pitStops" ( "raceId" INTEGER, "driverId" INTEGER, "stop" INTEGER, "lap" INTEGER, "time" TEXT, "duration" TEXT, "milliseconds" INTEGER, PRIMARY KEY ("raceId", "driverId", "stop"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM pitstops LIMIT 1; raceId ||driverId ||stop ||lap ||time ||duration ||milliseconds */ CREATE TABLE "lapTimes" ( "raceId" INTEGER, "driverId" INTEGER, "lap" INTEGER, "position" INTEGER, "time" TEXT, "milliseconds" INTEGER, PRIMARY KEY("raceId", "driverId", "lap"), FOREIGN KEY("raceId") REFERENCES "races"("raceId"), FOREIGN KEY ("driverId") REFERENCES "drivers"("driverId") ) /* 1 example row: SELECT * FROM laptimes LIMIT 1; raceId ||driverId ||lap ||position ||time ||milliseconds */
2,235
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "repair" ( "repair_ID" int, "name" text, "Launch_Date" text, "Notes" text, PRIMARY KEY ("repair_ID") ) /* 1 example row: SELECT * FROM repair LIMIT 1; repair_ID || name ||Launch_Date || Notes 1 ||Discoverer ||21 Jan 2009 ||repair Failed. Failed to achieve orbit */ CREATE TABLE "machine" ( "Machine_ID" int, "Making_Year" int, "Class" text, "Team" text, "Machine_series" text, "value_points" real, "quality_rank" int, PRIMARY KEY ("Machine_ID") ) /* 1 example row: SELECT * FROM machine LIMIT 1; Machine_ID ||Making_Year ||Class || Team ||Machine_series ||value_points ||quality_rank 1 || 1991 ||125cc ||Hero Sports TS- Honda || RS125 || 105.0 || 2 */ CREATE TABLE "technician" ( "technician_id" real, "Name" text, "Team" text, "Starting_Year" real, "Age" int, PRIMARY Key ("technician_id") ) /* 1 example row: SELECT * FROM technician LIMIT 1; technician_id || Name ||Team ||Starting_Year ||Age 1.0 ||Joe Sewell || NYY || 2012.0 || 37 */ CREATE TABLE "repair_assignment" ( "technician_id" int, "repair_ID" int, "Machine_ID" int, PRIMARY Key ("technician_id","repair_ID","Machine_ID"), FOREIGN KEY (`technician_id`) REFERENCES `technician`(`technician_id`), FOREIGN KEY (`repair_ID`) REFERENCES `repair`(`repair_ID`), FOREIGN KEY (`Machine_ID`) REFERENCES `machine`(`Machine_ID`) ) /* 1 example row: SELECT * FROM repair_assignment LIMIT 1; technician_id ||repair_ID ||Machine_ID 1 || 1 || 1 */ ### Question List the names of technicians in ascending order of age.
[query_database(**{'query': 'SELECT Name FROM technician ORDER BY Age ASC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "repair" ( "repair_ID" int, "name" text, "Launch_Date" text, "Notes" text, PRIMARY KEY ("repair_ID") ) /* 1 example row: SELECT * FROM repair LIMIT 1; repair_ID || name ||Launch_Date || Notes 1 ||Discoverer ||21 Jan 2009 ||repair Failed. Failed to achieve orbit */ CREATE TABLE "machine" ( "Machine_ID" int, "Making_Year" int, "Class" text, "Team" text, "Machine_series" text, "value_points" real, "quality_rank" int, PRIMARY KEY ("Machine_ID") ) /* 1 example row: SELECT * FROM machine LIMIT 1; Machine_ID ||Making_Year ||Class || Team ||Machine_series ||value_points ||quality_rank 1 || 1991 ||125cc ||Hero Sports TS- Honda || RS125 || 105.0 || 2 */ CREATE TABLE "technician" ( "technician_id" real, "Name" text, "Team" text, "Starting_Year" real, "Age" int, PRIMARY Key ("technician_id") ) /* 1 example row: SELECT * FROM technician LIMIT 1; technician_id || Name ||Team ||Starting_Year ||Age 1.0 ||Joe Sewell || NYY || 2012.0 || 37 */ CREATE TABLE "repair_assignment" ( "technician_id" int, "repair_ID" int, "Machine_ID" int, PRIMARY Key ("technician_id","repair_ID","Machine_ID"), FOREIGN KEY (`technician_id`) REFERENCES `technician`(`technician_id`), FOREIGN KEY (`repair_ID`) REFERENCES `repair`(`repair_ID`), FOREIGN KEY (`Machine_ID`) REFERENCES `machine`(`Machine_ID`) ) /* 1 example row: SELECT * FROM repair_assignment LIMIT 1; technician_id ||repair_ID ||Machine_ID 1 || 1 || 1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "repair" ( "repair_ID" int, "name" text, "Launch_Date" text, "Notes" text, PRIMARY KEY ("repair_ID") ) /* 1 example row: SELECT * FROM repair LIMIT 1; repair_ID || name ||Launch_Date || Notes 1 ||Discoverer ||21 Jan 2009 ||repair Failed. Failed to achieve orbit */ CREATE TABLE "machine" ( "Machine_ID" int, "Making_Year" int, "Class" text, "Team" text, "Machine_series" text, "value_points" real, "quality_rank" int, PRIMARY KEY ("Machine_ID") ) /* 1 example row: SELECT * FROM machine LIMIT 1; Machine_ID ||Making_Year ||Class || Team ||Machine_series ||value_points ||quality_rank 1 || 1991 ||125cc ||Hero Sports TS- Honda || RS125 || 105.0 || 2 */ CREATE TABLE "technician" ( "technician_id" real, "Name" text, "Team" text, "Starting_Year" real, "Age" int, PRIMARY Key ("technician_id") ) /* 1 example row: SELECT * FROM technician LIMIT 1; technician_id || Name ||Team ||Starting_Year ||Age 1.0 ||Joe Sewell || NYY || 2012.0 || 37 */ CREATE TABLE "repair_assignment" ( "technician_id" int, "repair_ID" int, "Machine_ID" int, PRIMARY Key ("technician_id","repair_ID","Machine_ID"), FOREIGN KEY (`technician_id`) REFERENCES `technician`(`technician_id`), FOREIGN KEY (`repair_ID`) REFERENCES `repair`(`repair_ID`), FOREIGN KEY (`Machine_ID`) REFERENCES `machine`(`Machine_ID`) ) /* 1 example row: SELECT * FROM repair_assignment LIMIT 1; technician_id ||repair_ID ||Machine_ID 1 || 1 || 1 */ ### Question What is the team and starting year for each technician?
[query_database(**{'query': 'SELECT Team , Starting_Year FROM technician'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "repair" ( "repair_ID" int, "name" text, "Launch_Date" text, "Notes" text, PRIMARY KEY ("repair_ID") ) /* 1 example row: SELECT * FROM repair LIMIT 1; repair_ID || name ||Launch_Date || Notes 1 ||Discoverer ||21 Jan 2009 ||repair Failed. Failed to achieve orbit */ CREATE TABLE "machine" ( "Machine_ID" int, "Making_Year" int, "Class" text, "Team" text, "Machine_series" text, "value_points" real, "quality_rank" int, PRIMARY KEY ("Machine_ID") ) /* 1 example row: SELECT * FROM machine LIMIT 1; Machine_ID ||Making_Year ||Class || Team ||Machine_series ||value_points ||quality_rank 1 || 1991 ||125cc ||Hero Sports TS- Honda || RS125 || 105.0 || 2 */ CREATE TABLE "technician" ( "technician_id" real, "Name" text, "Team" text, "Starting_Year" real, "Age" int, PRIMARY Key ("technician_id") ) /* 1 example row: SELECT * FROM technician LIMIT 1; technician_id || Name ||Team ||Starting_Year ||Age 1.0 ||Joe Sewell || NYY || 2012.0 || 37 */ CREATE TABLE "repair_assignment" ( "technician_id" int, "repair_ID" int, "Machine_ID" int, PRIMARY Key ("technician_id","repair_ID","Machine_ID"), FOREIGN KEY (`technician_id`) REFERENCES `technician`(`technician_id`), FOREIGN KEY (`repair_ID`) REFERENCES `repair`(`repair_ID`), FOREIGN KEY (`Machine_ID`) REFERENCES `machine`(`Machine_ID`) ) /* 1 example row: SELECT * FROM repair_assignment LIMIT 1; technician_id ||repair_ID ||Machine_ID 1 || 1 || 1 */
2,242
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "repair" ( "repair_ID" int, "name" text, "Launch_Date" text, "Notes" text, PRIMARY KEY ("repair_ID") ) /* 1 example row: SELECT * FROM repair LIMIT 1; repair_ID || name ||Launch_Date || Notes 1 ||Discoverer ||21 Jan 2009 ||repair Failed. Failed to achieve orbit */ CREATE TABLE "machine" ( "Machine_ID" int, "Making_Year" int, "Class" text, "Team" text, "Machine_series" text, "value_points" real, "quality_rank" int, PRIMARY KEY ("Machine_ID") ) /* 1 example row: SELECT * FROM machine LIMIT 1; Machine_ID ||Making_Year ||Class || Team ||Machine_series ||value_points ||quality_rank 1 || 1991 ||125cc ||Hero Sports TS- Honda || RS125 || 105.0 || 2 */ CREATE TABLE "technician" ( "technician_id" real, "Name" text, "Team" text, "Starting_Year" real, "Age" int, PRIMARY Key ("technician_id") ) /* 1 example row: SELECT * FROM technician LIMIT 1; technician_id || Name ||Team ||Starting_Year ||Age 1.0 ||Joe Sewell || NYY || 2012.0 || 37 */ CREATE TABLE "repair_assignment" ( "technician_id" int, "repair_ID" int, "Machine_ID" int, PRIMARY Key ("technician_id","repair_ID","Machine_ID"), FOREIGN KEY (`technician_id`) REFERENCES `technician`(`technician_id`), FOREIGN KEY (`repair_ID`) REFERENCES `repair`(`repair_ID`), FOREIGN KEY (`Machine_ID`) REFERENCES `machine`(`Machine_ID`) ) /* 1 example row: SELECT * FROM repair_assignment LIMIT 1; technician_id ||repair_ID ||Machine_ID 1 || 1 || 1 */ ### Question What are the names of the technicians aged either 36 or 37?
[query_database(**{'query': 'SELECT Name FROM technician WHERE Age = 36 OR Age = 37'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "repair" ( "repair_ID" int, "name" text, "Launch_Date" text, "Notes" text, PRIMARY KEY ("repair_ID") ) /* 1 example row: SELECT * FROM repair LIMIT 1; repair_ID || name ||Launch_Date || Notes 1 ||Discoverer ||21 Jan 2009 ||repair Failed. Failed to achieve orbit */ CREATE TABLE "machine" ( "Machine_ID" int, "Making_Year" int, "Class" text, "Team" text, "Machine_series" text, "value_points" real, "quality_rank" int, PRIMARY KEY ("Machine_ID") ) /* 1 example row: SELECT * FROM machine LIMIT 1; Machine_ID ||Making_Year ||Class || Team ||Machine_series ||value_points ||quality_rank 1 || 1991 ||125cc ||Hero Sports TS- Honda || RS125 || 105.0 || 2 */ CREATE TABLE "technician" ( "technician_id" real, "Name" text, "Team" text, "Starting_Year" real, "Age" int, PRIMARY Key ("technician_id") ) /* 1 example row: SELECT * FROM technician LIMIT 1; technician_id || Name ||Team ||Starting_Year ||Age 1.0 ||Joe Sewell || NYY || 2012.0 || 37 */ CREATE TABLE "repair_assignment" ( "technician_id" int, "repair_ID" int, "Machine_ID" int, PRIMARY Key ("technician_id","repair_ID","Machine_ID"), FOREIGN KEY (`technician_id`) REFERENCES `technician`(`technician_id`), FOREIGN KEY (`repair_ID`) REFERENCES `repair`(`repair_ID`), FOREIGN KEY (`Machine_ID`) REFERENCES `machine`(`Machine_ID`) ) /* 1 example row: SELECT * FROM repair_assignment LIMIT 1; technician_id ||repair_ID ||Machine_ID 1 || 1 || 1 */
2,246
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "repair" ( "repair_ID" int, "name" text, "Launch_Date" text, "Notes" text, PRIMARY KEY ("repair_ID") ) /* 1 example row: SELECT * FROM repair LIMIT 1; repair_ID || name ||Launch_Date || Notes 1 ||Discoverer ||21 Jan 2009 ||repair Failed. Failed to achieve orbit */ CREATE TABLE "machine" ( "Machine_ID" int, "Making_Year" int, "Class" text, "Team" text, "Machine_series" text, "value_points" real, "quality_rank" int, PRIMARY KEY ("Machine_ID") ) /* 1 example row: SELECT * FROM machine LIMIT 1; Machine_ID ||Making_Year ||Class || Team ||Machine_series ||value_points ||quality_rank 1 || 1991 ||125cc ||Hero Sports TS- Honda || RS125 || 105.0 || 2 */ CREATE TABLE "technician" ( "technician_id" real, "Name" text, "Team" text, "Starting_Year" real, "Age" int, PRIMARY Key ("technician_id") ) /* 1 example row: SELECT * FROM technician LIMIT 1; technician_id || Name ||Team ||Starting_Year ||Age 1.0 ||Joe Sewell || NYY || 2012.0 || 37 */ CREATE TABLE "repair_assignment" ( "technician_id" int, "repair_ID" int, "Machine_ID" int, PRIMARY Key ("technician_id","repair_ID","Machine_ID"), FOREIGN KEY (`technician_id`) REFERENCES `technician`(`technician_id`), FOREIGN KEY (`repair_ID`) REFERENCES `repair`(`repair_ID`), FOREIGN KEY (`Machine_ID`) REFERENCES `machine`(`Machine_ID`) ) /* 1 example row: SELECT * FROM repair_assignment LIMIT 1; technician_id ||repair_ID ||Machine_ID 1 || 1 || 1 */ ### Question For each team, how many technicians are there?
[query_database(**{'query': 'SELECT Team , COUNT(*) FROM technician GROUP BY Team'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "repair" ( "repair_ID" int, "name" text, "Launch_Date" text, "Notes" text, PRIMARY KEY ("repair_ID") ) /* 1 example row: SELECT * FROM repair LIMIT 1; repair_ID || name ||Launch_Date || Notes 1 ||Discoverer ||21 Jan 2009 ||repair Failed. Failed to achieve orbit */ CREATE TABLE "machine" ( "Machine_ID" int, "Making_Year" int, "Class" text, "Team" text, "Machine_series" text, "value_points" real, "quality_rank" int, PRIMARY KEY ("Machine_ID") ) /* 1 example row: SELECT * FROM machine LIMIT 1; Machine_ID ||Making_Year ||Class || Team ||Machine_series ||value_points ||quality_rank 1 || 1991 ||125cc ||Hero Sports TS- Honda || RS125 || 105.0 || 2 */ CREATE TABLE "technician" ( "technician_id" real, "Name" text, "Team" text, "Starting_Year" real, "Age" int, PRIMARY Key ("technician_id") ) /* 1 example row: SELECT * FROM technician LIMIT 1; technician_id || Name ||Team ||Starting_Year ||Age 1.0 ||Joe Sewell || NYY || 2012.0 || 37 */ CREATE TABLE "repair_assignment" ( "technician_id" int, "repair_ID" int, "Machine_ID" int, PRIMARY Key ("technician_id","repair_ID","Machine_ID"), FOREIGN KEY (`technician_id`) REFERENCES `technician`(`technician_id`), FOREIGN KEY (`repair_ID`) REFERENCES `repair`(`repair_ID`), FOREIGN KEY (`Machine_ID`) REFERENCES `machine`(`Machine_ID`) ) /* 1 example row: SELECT * FROM repair_assignment LIMIT 1; technician_id ||repair_ID ||Machine_ID 1 || 1 || 1 */
2,250
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "repair" ( "repair_ID" int, "name" text, "Launch_Date" text, "Notes" text, PRIMARY KEY ("repair_ID") ) /* 1 example row: SELECT * FROM repair LIMIT 1; repair_ID || name ||Launch_Date || Notes 1 ||Discoverer ||21 Jan 2009 ||repair Failed. Failed to achieve orbit */ CREATE TABLE "machine" ( "Machine_ID" int, "Making_Year" int, "Class" text, "Team" text, "Machine_series" text, "value_points" real, "quality_rank" int, PRIMARY KEY ("Machine_ID") ) /* 1 example row: SELECT * FROM machine LIMIT 1; Machine_ID ||Making_Year ||Class || Team ||Machine_series ||value_points ||quality_rank 1 || 1991 ||125cc ||Hero Sports TS- Honda || RS125 || 105.0 || 2 */ CREATE TABLE "technician" ( "technician_id" real, "Name" text, "Team" text, "Starting_Year" real, "Age" int, PRIMARY Key ("technician_id") ) /* 1 example row: SELECT * FROM technician LIMIT 1; technician_id || Name ||Team ||Starting_Year ||Age 1.0 ||Joe Sewell || NYY || 2012.0 || 37 */ CREATE TABLE "repair_assignment" ( "technician_id" int, "repair_ID" int, "Machine_ID" int, PRIMARY Key ("technician_id","repair_ID","Machine_ID"), FOREIGN KEY (`technician_id`) REFERENCES `technician`(`technician_id`), FOREIGN KEY (`repair_ID`) REFERENCES `repair`(`repair_ID`), FOREIGN KEY (`Machine_ID`) REFERENCES `machine`(`Machine_ID`) ) /* 1 example row: SELECT * FROM repair_assignment LIMIT 1; technician_id ||repair_ID ||Machine_ID 1 || 1 || 1 */ ### Question What is the team with at least 2 technicians?
[query_database(**{'query': 'SELECT Team FROM technician GROUP BY Team HAVING COUNT(*) >= 2'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "repair" ( "repair_ID" int, "name" text, "Launch_Date" text, "Notes" text, PRIMARY KEY ("repair_ID") ) /* 1 example row: SELECT * FROM repair LIMIT 1; repair_ID || name ||Launch_Date || Notes 1 ||Discoverer ||21 Jan 2009 ||repair Failed. Failed to achieve orbit */ CREATE TABLE "machine" ( "Machine_ID" int, "Making_Year" int, "Class" text, "Team" text, "Machine_series" text, "value_points" real, "quality_rank" int, PRIMARY KEY ("Machine_ID") ) /* 1 example row: SELECT * FROM machine LIMIT 1; Machine_ID ||Making_Year ||Class || Team ||Machine_series ||value_points ||quality_rank 1 || 1991 ||125cc ||Hero Sports TS- Honda || RS125 || 105.0 || 2 */ CREATE TABLE "technician" ( "technician_id" real, "Name" text, "Team" text, "Starting_Year" real, "Age" int, PRIMARY Key ("technician_id") ) /* 1 example row: SELECT * FROM technician LIMIT 1; technician_id || Name ||Team ||Starting_Year ||Age 1.0 ||Joe Sewell || NYY || 2012.0 || 37 */ CREATE TABLE "repair_assignment" ( "technician_id" int, "repair_ID" int, "Machine_ID" int, PRIMARY Key ("technician_id","repair_ID","Machine_ID"), FOREIGN KEY (`technician_id`) REFERENCES `technician`(`technician_id`), FOREIGN KEY (`repair_ID`) REFERENCES `repair`(`repair_ID`), FOREIGN KEY (`Machine_ID`) REFERENCES `machine`(`Machine_ID`) ) /* 1 example row: SELECT * FROM repair_assignment LIMIT 1; technician_id ||repair_ID ||Machine_ID 1 || 1 || 1 */
2,254
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "repair" ( "repair_ID" int, "name" text, "Launch_Date" text, "Notes" text, PRIMARY KEY ("repair_ID") ) /* 1 example row: SELECT * FROM repair LIMIT 1; repair_ID || name ||Launch_Date || Notes 1 ||Discoverer ||21 Jan 2009 ||repair Failed. Failed to achieve orbit */ CREATE TABLE "machine" ( "Machine_ID" int, "Making_Year" int, "Class" text, "Team" text, "Machine_series" text, "value_points" real, "quality_rank" int, PRIMARY KEY ("Machine_ID") ) /* 1 example row: SELECT * FROM machine LIMIT 1; Machine_ID ||Making_Year ||Class || Team ||Machine_series ||value_points ||quality_rank 1 || 1991 ||125cc ||Hero Sports TS- Honda || RS125 || 105.0 || 2 */ CREATE TABLE "technician" ( "technician_id" real, "Name" text, "Team" text, "Starting_Year" real, "Age" int, PRIMARY Key ("technician_id") ) /* 1 example row: SELECT * FROM technician LIMIT 1; technician_id || Name ||Team ||Starting_Year ||Age 1.0 ||Joe Sewell || NYY || 2012.0 || 37 */ CREATE TABLE "repair_assignment" ( "technician_id" int, "repair_ID" int, "Machine_ID" int, PRIMARY Key ("technician_id","repair_ID","Machine_ID"), FOREIGN KEY (`technician_id`) REFERENCES `technician`(`technician_id`), FOREIGN KEY (`repair_ID`) REFERENCES `repair`(`repair_ID`), FOREIGN KEY (`Machine_ID`) REFERENCES `machine`(`Machine_ID`) ) /* 1 example row: SELECT * FROM repair_assignment LIMIT 1; technician_id ||repair_ID ||Machine_ID 1 || 1 || 1 */ ### Question What are the names of the technicians by ascending order of quality rank for the machine they are assigned?
[query_database(**{'query': 'SELECT T3.Name FROM repair_assignment AS T1 JOIN machine AS T2 ON T1.machine_id = T2.machine_id JOIN technician AS T3 ON T1.technician_ID = T3.technician_ID ORDER BY T2.quality_rank'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "repair" ( "repair_ID" int, "name" text, "Launch_Date" text, "Notes" text, PRIMARY KEY ("repair_ID") ) /* 1 example row: SELECT * FROM repair LIMIT 1; repair_ID || name ||Launch_Date || Notes 1 ||Discoverer ||21 Jan 2009 ||repair Failed. Failed to achieve orbit */ CREATE TABLE "machine" ( "Machine_ID" int, "Making_Year" int, "Class" text, "Team" text, "Machine_series" text, "value_points" real, "quality_rank" int, PRIMARY KEY ("Machine_ID") ) /* 1 example row: SELECT * FROM machine LIMIT 1; Machine_ID ||Making_Year ||Class || Team ||Machine_series ||value_points ||quality_rank 1 || 1991 ||125cc ||Hero Sports TS- Honda || RS125 || 105.0 || 2 */ CREATE TABLE "technician" ( "technician_id" real, "Name" text, "Team" text, "Starting_Year" real, "Age" int, PRIMARY Key ("technician_id") ) /* 1 example row: SELECT * FROM technician LIMIT 1; technician_id || Name ||Team ||Starting_Year ||Age 1.0 ||Joe Sewell || NYY || 2012.0 || 37 */ CREATE TABLE "repair_assignment" ( "technician_id" int, "repair_ID" int, "Machine_ID" int, PRIMARY Key ("technician_id","repair_ID","Machine_ID"), FOREIGN KEY (`technician_id`) REFERENCES `technician`(`technician_id`), FOREIGN KEY (`repair_ID`) REFERENCES `repair`(`repair_ID`), FOREIGN KEY (`Machine_ID`) REFERENCES `machine`(`Machine_ID`) ) /* 1 example row: SELECT * FROM repair_assignment LIMIT 1; technician_id ||repair_ID ||Machine_ID 1 || 1 || 1 */
2,258
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "repair" ( "repair_ID" int, "name" text, "Launch_Date" text, "Notes" text, PRIMARY KEY ("repair_ID") ) /* 1 example row: SELECT * FROM repair LIMIT 1; repair_ID || name ||Launch_Date || Notes 1 ||Discoverer ||21 Jan 2009 ||repair Failed. Failed to achieve orbit */ CREATE TABLE "machine" ( "Machine_ID" int, "Making_Year" int, "Class" text, "Team" text, "Machine_series" text, "value_points" real, "quality_rank" int, PRIMARY KEY ("Machine_ID") ) /* 1 example row: SELECT * FROM machine LIMIT 1; Machine_ID ||Making_Year ||Class || Team ||Machine_series ||value_points ||quality_rank 1 || 1991 ||125cc ||Hero Sports TS- Honda || RS125 || 105.0 || 2 */ CREATE TABLE "technician" ( "technician_id" real, "Name" text, "Team" text, "Starting_Year" real, "Age" int, PRIMARY Key ("technician_id") ) /* 1 example row: SELECT * FROM technician LIMIT 1; technician_id || Name ||Team ||Starting_Year ||Age 1.0 ||Joe Sewell || NYY || 2012.0 || 37 */ CREATE TABLE "repair_assignment" ( "technician_id" int, "repair_ID" int, "Machine_ID" int, PRIMARY Key ("technician_id","repair_ID","Machine_ID"), FOREIGN KEY (`technician_id`) REFERENCES `technician`(`technician_id`), FOREIGN KEY (`repair_ID`) REFERENCES `repair`(`repair_ID`), FOREIGN KEY (`Machine_ID`) REFERENCES `machine`(`Machine_ID`) ) /* 1 example row: SELECT * FROM repair_assignment LIMIT 1; technician_id ||repair_ID ||Machine_ID 1 || 1 || 1 */ ### Question What are the names of the technicians and how many machines are they assigned to repair?
[query_database(**{'query': 'SELECT T2.Name , COUNT(*) FROM repair_assignment AS T1 JOIN technician AS T2 ON T1.technician_ID = T2.technician_ID GROUP BY T2.Name'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "repair" ( "repair_ID" int, "name" text, "Launch_Date" text, "Notes" text, PRIMARY KEY ("repair_ID") ) /* 1 example row: SELECT * FROM repair LIMIT 1; repair_ID || name ||Launch_Date || Notes 1 ||Discoverer ||21 Jan 2009 ||repair Failed. Failed to achieve orbit */ CREATE TABLE "machine" ( "Machine_ID" int, "Making_Year" int, "Class" text, "Team" text, "Machine_series" text, "value_points" real, "quality_rank" int, PRIMARY KEY ("Machine_ID") ) /* 1 example row: SELECT * FROM machine LIMIT 1; Machine_ID ||Making_Year ||Class || Team ||Machine_series ||value_points ||quality_rank 1 || 1991 ||125cc ||Hero Sports TS- Honda || RS125 || 105.0 || 2 */ CREATE TABLE "technician" ( "technician_id" real, "Name" text, "Team" text, "Starting_Year" real, "Age" int, PRIMARY Key ("technician_id") ) /* 1 example row: SELECT * FROM technician LIMIT 1; technician_id || Name ||Team ||Starting_Year ||Age 1.0 ||Joe Sewell || NYY || 2012.0 || 37 */ CREATE TABLE "repair_assignment" ( "technician_id" int, "repair_ID" int, "Machine_ID" int, PRIMARY Key ("technician_id","repair_ID","Machine_ID"), FOREIGN KEY (`technician_id`) REFERENCES `technician`(`technician_id`), FOREIGN KEY (`repair_ID`) REFERENCES `repair`(`repair_ID`), FOREIGN KEY (`Machine_ID`) REFERENCES `machine`(`Machine_ID`) ) /* 1 example row: SELECT * FROM repair_assignment LIMIT 1; technician_id ||repair_ID ||Machine_ID 1 || 1 || 1 */
2,262
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "repair" ( "repair_ID" int, "name" text, "Launch_Date" text, "Notes" text, PRIMARY KEY ("repair_ID") ) /* 1 example row: SELECT * FROM repair LIMIT 1; repair_ID || name ||Launch_Date || Notes 1 ||Discoverer ||21 Jan 2009 ||repair Failed. Failed to achieve orbit */ CREATE TABLE "machine" ( "Machine_ID" int, "Making_Year" int, "Class" text, "Team" text, "Machine_series" text, "value_points" real, "quality_rank" int, PRIMARY KEY ("Machine_ID") ) /* 1 example row: SELECT * FROM machine LIMIT 1; Machine_ID ||Making_Year ||Class || Team ||Machine_series ||value_points ||quality_rank 1 || 1991 ||125cc ||Hero Sports TS- Honda || RS125 || 105.0 || 2 */ CREATE TABLE "technician" ( "technician_id" real, "Name" text, "Team" text, "Starting_Year" real, "Age" int, PRIMARY Key ("technician_id") ) /* 1 example row: SELECT * FROM technician LIMIT 1; technician_id || Name ||Team ||Starting_Year ||Age 1.0 ||Joe Sewell || NYY || 2012.0 || 37 */ CREATE TABLE "repair_assignment" ( "technician_id" int, "repair_ID" int, "Machine_ID" int, PRIMARY Key ("technician_id","repair_ID","Machine_ID"), FOREIGN KEY (`technician_id`) REFERENCES `technician`(`technician_id`), FOREIGN KEY (`repair_ID`) REFERENCES `repair`(`repair_ID`), FOREIGN KEY (`Machine_ID`) REFERENCES `machine`(`Machine_ID`) ) /* 1 example row: SELECT * FROM repair_assignment LIMIT 1; technician_id ||repair_ID ||Machine_ID 1 || 1 || 1 */ ### Question What are the starting years shared by the technicians from the team "CLE" or "CWS"?
[query_database(**{'query': 'SELECT Starting_Year FROM technician WHERE Team = "CLE" INTERSECT SELECT Starting_Year FROM technician WHERE Team = "CWS"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "repair" ( "repair_ID" int, "name" text, "Launch_Date" text, "Notes" text, PRIMARY KEY ("repair_ID") ) /* 1 example row: SELECT * FROM repair LIMIT 1; repair_ID || name ||Launch_Date || Notes 1 ||Discoverer ||21 Jan 2009 ||repair Failed. Failed to achieve orbit */ CREATE TABLE "machine" ( "Machine_ID" int, "Making_Year" int, "Class" text, "Team" text, "Machine_series" text, "value_points" real, "quality_rank" int, PRIMARY KEY ("Machine_ID") ) /* 1 example row: SELECT * FROM machine LIMIT 1; Machine_ID ||Making_Year ||Class || Team ||Machine_series ||value_points ||quality_rank 1 || 1991 ||125cc ||Hero Sports TS- Honda || RS125 || 105.0 || 2 */ CREATE TABLE "technician" ( "technician_id" real, "Name" text, "Team" text, "Starting_Year" real, "Age" int, PRIMARY Key ("technician_id") ) /* 1 example row: SELECT * FROM technician LIMIT 1; technician_id || Name ||Team ||Starting_Year ||Age 1.0 ||Joe Sewell || NYY || 2012.0 || 37 */ CREATE TABLE "repair_assignment" ( "technician_id" int, "repair_ID" int, "Machine_ID" int, PRIMARY Key ("technician_id","repair_ID","Machine_ID"), FOREIGN KEY (`technician_id`) REFERENCES `technician`(`technician_id`), FOREIGN KEY (`repair_ID`) REFERENCES `repair`(`repair_ID`), FOREIGN KEY (`Machine_ID`) REFERENCES `machine`(`Machine_ID`) ) /* 1 example row: SELECT * FROM repair_assignment LIMIT 1; technician_id ||repair_ID ||Machine_ID 1 || 1 || 1 */
2,266
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */ ### Question What are the companies of entrepreneurs, ordered descending by amount of money requested?
[query_database(**{'query': 'SELECT Company FROM entrepreneur ORDER BY Money_Requested DESC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */ ### Question Return the average money requested across all entrepreneurs.
[query_database(**{'query': 'SELECT avg(Money_Requested) FROM entrepreneur'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */ ### Question Return the names of entrepreneurs.
[query_database(**{'query': 'SELECT T2.Name FROM entrepreneur AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */ ### Question Return the weight of the shortest person.
[query_database(**{'query': 'SELECT Weight FROM people ORDER BY Height ASC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */ ### Question Give the total money requested by entrepreneurs who are taller than 1.85.
[query_database(**{'query': 'SELECT sum(T1.Money_Requested) FROM entrepreneur AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID WHERE T2.Height > 1.85'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */ ### Question Return the weights of entrepreneurs, ordered descending by amount of money requested.
[query_database(**{'query': 'SELECT T2.Weight FROM entrepreneur AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID ORDER BY T1.Money_Requested DESC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */ ### Question Return the investor who have invested in the greatest number of entrepreneurs.
[query_database(**{'query': 'SELECT Investor FROM entrepreneur GROUP BY Investor ORDER BY COUNT(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */ ### Question What are the names of entrepreneurs and their corresponding investors, ordered descending by the amount of money requested?
[query_database(**{'query': 'SELECT T2.Name , T1.Company FROM entrepreneur AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID ORDER BY T1.Money_Requested'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */ ### Question What are the investors who have invested in both entrepreneurs who requested more than 140000 and entrepreneurs who requested less than 120000?
[query_database(**{'query': 'SELECT Investor FROM entrepreneur WHERE Money_Requested > 140000 INTERSECT SELECT Investor FROM entrepreneur WHERE Money_Requested < 120000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */ ### Question Which company was started by the entrepreneur with the greatest height?
[query_database(**{'query': 'SELECT T1.Company FROM entrepreneur AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID ORDER BY T2.Height DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "entrepreneur" ( "Entrepreneur_ID" int, "People_ID" int, "Company" text, "Money_Requested" real, "Investor" text, PRIMARY KEY ("Entrepreneur_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM entrepreneur LIMIT 1; Entrepreneur_ID ||People_ID || Company ||Money_Requested || Investor 1 || 1 ||Umbrolly || 150000.0 ||Duncan Bannatyne */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Date_of_Birth" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight ||Date_of_Birth 1 ||Francesco Postiglione || 1.9 || 80.0 || 1972-04-29 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "perpetrator" ( "Perpetrator_ID" int, "People_ID" int, "Date" text, "Year" real, "Location" text, "Country" text, "Killed" int, "Injured" int, PRIMARY KEY ("Perpetrator_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM perpetrator LIMIT 1; Perpetrator_ID ||People_ID || Date || Year ||Location || Country ||Killed ||Injured 1 || 1 ||04.26 April 26/27 ||1982.0 ||Uiryeong ||South Korea || 56 || 37 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Home Town" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight || Home Town 1 ||Ron Baxter || 6.4 || 205.0 ||Los Angeles, CA */ ### Question What is the average number of people injured by all perpetrators?
[query_database(**{'query': 'SELECT avg(Injured) FROM perpetrator'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "perpetrator" ( "Perpetrator_ID" int, "People_ID" int, "Date" text, "Year" real, "Location" text, "Country" text, "Killed" int, "Injured" int, PRIMARY KEY ("Perpetrator_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM perpetrator LIMIT 1; Perpetrator_ID ||People_ID || Date || Year ||Location || Country ||Killed ||Injured 1 || 1 ||04.26 April 26/27 ||1982.0 ||Uiryeong ||South Korea || 56 || 37 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Home Town" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight || Home Town 1 ||Ron Baxter || 6.4 || 205.0 ||Los Angeles, CA */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "perpetrator" ( "Perpetrator_ID" int, "People_ID" int, "Date" text, "Year" real, "Location" text, "Country" text, "Killed" int, "Injured" int, PRIMARY KEY ("Perpetrator_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM perpetrator LIMIT 1; Perpetrator_ID ||People_ID || Date || Year ||Location || Country ||Killed ||Injured 1 || 1 ||04.26 April 26/27 ||1982.0 ||Uiryeong ||South Korea || 56 || 37 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Home Town" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight || Home Town 1 ||Ron Baxter || 6.4 || 205.0 ||Los Angeles, CA */ ### Question What are the names of perpetrators whose country is not "China"?
[query_database(**{'query': 'SELECT T1.Name FROM people AS T1 JOIN perpetrator AS T2 ON T1.People_ID = T2.People_ID WHERE T2.Country != "China"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "perpetrator" ( "Perpetrator_ID" int, "People_ID" int, "Date" text, "Year" real, "Location" text, "Country" text, "Killed" int, "Injured" int, PRIMARY KEY ("Perpetrator_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM perpetrator LIMIT 1; Perpetrator_ID ||People_ID || Date || Year ||Location || Country ||Killed ||Injured 1 || 1 ||04.26 April 26/27 ||1982.0 ||Uiryeong ||South Korea || 56 || 37 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Home Town" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight || Home Town 1 ||Ron Baxter || 6.4 || 205.0 ||Los Angeles, CA */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "perpetrator" ( "Perpetrator_ID" int, "People_ID" int, "Date" text, "Year" real, "Location" text, "Country" text, "Killed" int, "Injured" int, PRIMARY KEY ("Perpetrator_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM perpetrator LIMIT 1; Perpetrator_ID ||People_ID || Date || Year ||Location || Country ||Killed ||Injured 1 || 1 ||04.26 April 26/27 ||1982.0 ||Uiryeong ||South Korea || 56 || 37 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Home Town" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight || Home Town 1 ||Ron Baxter || 6.4 || 205.0 ||Los Angeles, CA */ ### Question What are the heights of perpetrators in descending order of the number of people they injured?
[query_database(**{'query': 'SELECT T1.Height FROM people AS T1 JOIN perpetrator AS T2 ON T1.People_ID = T2.People_ID ORDER BY T2.Injured DESC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "perpetrator" ( "Perpetrator_ID" int, "People_ID" int, "Date" text, "Year" real, "Location" text, "Country" text, "Killed" int, "Injured" int, PRIMARY KEY ("Perpetrator_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM perpetrator LIMIT 1; Perpetrator_ID ||People_ID || Date || Year ||Location || Country ||Killed ||Injured 1 || 1 ||04.26 April 26/27 ||1982.0 ||Uiryeong ||South Korea || 56 || 37 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Home Town" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight || Home Town 1 ||Ron Baxter || 6.4 || 205.0 ||Los Angeles, CA */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "perpetrator" ( "Perpetrator_ID" int, "People_ID" int, "Date" text, "Year" real, "Location" text, "Country" text, "Killed" int, "Injured" int, PRIMARY KEY ("Perpetrator_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM perpetrator LIMIT 1; Perpetrator_ID ||People_ID || Date || Year ||Location || Country ||Killed ||Injured 1 || 1 ||04.26 April 26/27 ||1982.0 ||Uiryeong ||South Korea || 56 || 37 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Home Town" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight || Home Town 1 ||Ron Baxter || 6.4 || 205.0 ||Los Angeles, CA */ ### Question List the names of perpetrators in descending order of the year.
[query_database(**{'query': 'SELECT T1.Name FROM people AS T1 JOIN perpetrator AS T2 ON T1.People_ID = T2.People_ID ORDER BY T2.Year DESC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "perpetrator" ( "Perpetrator_ID" int, "People_ID" int, "Date" text, "Year" real, "Location" text, "Country" text, "Killed" int, "Injured" int, PRIMARY KEY ("Perpetrator_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM perpetrator LIMIT 1; Perpetrator_ID ||People_ID || Date || Year ||Location || Country ||Killed ||Injured 1 || 1 ||04.26 April 26/27 ||1982.0 ||Uiryeong ||South Korea || 56 || 37 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Home Town" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight || Home Town 1 ||Ron Baxter || 6.4 || 205.0 ||Los Angeles, CA */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "perpetrator" ( "Perpetrator_ID" int, "People_ID" int, "Date" text, "Year" real, "Location" text, "Country" text, "Killed" int, "Injured" int, PRIMARY KEY ("Perpetrator_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM perpetrator LIMIT 1; Perpetrator_ID ||People_ID || Date || Year ||Location || Country ||Killed ||Injured 1 || 1 ||04.26 April 26/27 ||1982.0 ||Uiryeong ||South Korea || 56 || 37 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Home Town" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight || Home Town 1 ||Ron Baxter || 6.4 || 205.0 ||Los Angeles, CA */ ### Question Show the date of the tallest perpetrator.
[query_database(**{'query': 'SELECT T2.Date FROM people AS T1 JOIN perpetrator AS T2 ON T1.People_ID = T2.People_ID ORDER BY T1.Height DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "perpetrator" ( "Perpetrator_ID" int, "People_ID" int, "Date" text, "Year" real, "Location" text, "Country" text, "Killed" int, "Injured" int, PRIMARY KEY ("Perpetrator_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM perpetrator LIMIT 1; Perpetrator_ID ||People_ID || Date || Year ||Location || Country ||Killed ||Injured 1 || 1 ||04.26 April 26/27 ||1982.0 ||Uiryeong ||South Korea || 56 || 37 */ CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Home Town" text, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID || Name ||Height ||Weight || Home Town 1 ||Ron Baxter || 6.4 || 205.0 ||Los Angeles, CA */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */ ### Question What are the names of all campuses located at Chico?
[query_database(**{'query': 'SELECT campus FROM campuses WHERE LOCATION = "Chico"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */ ### Question Find the name of the campuses opened before 1800.
[query_database(**{'query': 'SELECT campus FROM campuses WHERE YEAR < 1800'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */ ### Question Find the name of the campuses that is in Northridge, Los Angeles or in San Francisco, San Francisco.
[query_database(**{'query': 'SELECT campus FROM campuses WHERE LOCATION = "Northridge" AND county = "Los Angeles" UNION SELECT campus FROM campuses WHERE LOCATION = "San Francisco" AND county = "San Francisco"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */ ### Question What is the campus fee of "San Francisco State University" in year 1996?
[query_database(**{'query': 'SELECT campusfee FROM campuses AS T1 JOIN csu_fees AS T2 ON T1.id = t2.campus WHERE t1.campus = "San Francisco State University" AND T2.year = 1996'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */ ### Question Find the count of universities whose campus fee is greater than the average campus fee.
[query_database(**{'query': 'SELECT count(*) FROM csu_fees WHERE campusfee > (SELECT avg(campusfee) FROM csu_fees)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */ ### Question Which year has the most degrees conferred?
[query_database(**{'query': 'SELECT YEAR FROM degrees GROUP BY YEAR ORDER BY sum(degrees) 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 "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */ ### Question What campus has the most faculties in 2003?
[query_database(**{'query': 'SELECT T1.campus FROM campuses AS T1 JOIN faculty AS T2 ON T1.id = T2.campus WHERE T2.year = 2003 ORDER BY T2.faculty 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 "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */ ### Question report the total number of degrees granted between 1998 and 2002.
[query_database(**{'query': 'SELECT T1.campus , sum(T2.degrees) FROM campuses AS T1 JOIN degrees AS T2 ON T1.id = T2.campus WHERE T2.year >= 1998 AND T2.year <= 2002 GROUP BY T1.campus'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */ ### Question Find the names of the campus which has more faculties in 2002 than every campus in Orange county.
[query_database(**{'query': 'SELECT T1.campus FROM campuses AS T1 JOIN faculty AS T2 ON T1.id = T2.campus WHERE T2.year = 2002 AND faculty > (SELECT max(faculty) FROM campuses AS T1 JOIN faculty AS T2 ON T1.id = T2.campus WHERE T2.year = 2002 AND T1.county = "Orange")'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */ ### Question How many campuses are there in Los Angeles county?
[query_database(**{'query': 'SELECT count(*) FROM campuses WHERE county = "Los Angeles"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */ ### Question How many degrees were conferred in "San Jose State University" in 2000?
[query_database(**{'query': 'SELECT degrees FROM campuses AS T1 JOIN degrees AS T2 ON t1.id = t2.campus WHERE t1.campus = "San Jose State University" AND t2.year = 2000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */ ### Question How many faculty, in total, are there in the year 2002?
[query_database(**{'query': 'SELECT sum(faculty) FROM faculty WHERE YEAR = 2002'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */ ### Question How many faculty lines are there in "San Francisco State University" in year 2004?
[query_database(**{'query': 'SELECT faculty FROM faculty AS T1 JOIN campuses AS T2 ON T1.campus = T2.id WHERE T1.year = 2004 AND T2.campus = "San Francisco State University"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */ ### Question How many faculty lines are there in the university that conferred the most number of degrees in year 2002?
[query_database(**{'query': 'SELECT T2.faculty FROM campuses AS T1 JOIN faculty AS T2 ON T1.id = t2.campus JOIN degrees AS T3 ON T1.id = t3.campus AND t2.year = t3.year WHERE t2.year = 2002 ORDER BY t3.degrees 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 "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */ ### Question How many undergraduates are there in "San Jose State University" in year 2004?
[query_database(**{'query': 'SELECT sum(t1.undergraduate) FROM discipline_enrollments AS t1 JOIN campuses AS t2 ON t1.campus = t2.id WHERE t1.year = 2004 AND t2.campus = "San Jose State University"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */ ### Question What is the campus fee of "San Francisco State University" in year 2000?
[query_database(**{'query': 'SELECT t1.campusfee FROM csu_fees AS t1 JOIN campuses AS t2 ON t1.campus = t2.id WHERE t2.campus = "San Francisco State University" AND t1.year = 2000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */ ### Question How many CSU campuses are there?
[query_database(**{'query': 'SELECT count(*) FROM campuses'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Campuses" ( "Id" INTEGER PRIMARY KEY, "Campus" TEXT, "Location" TEXT, "County" TEXT, "Year" INTEGER ) /* 1 example row: SELECT * FROM campuses LIMIT 1; Id || Campus || Location ||County ||Year 1 ||California State University-Bakersfield ||Bakersfield || Kern ||1965 */ CREATE TABLE "csu_fees" ( "Campus" INTEGER PRIMARY KEY, "Year" INTEGER, "CampusFee" INTEGER, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM csu_fees LIMIT 1; Campus ||Year ||CampusFee 1 ||1996 || 1951 */ CREATE TABLE "degrees" ( "Year" INTEGER, "Campus" INTEGER, "Degrees" INTEGER, PRIMARY KEY (Year, Campus), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM degrees LIMIT 1; Year ||Campus ||Degrees 1990 || 1 || 701 */ CREATE TABLE "discipline_enrollments" ( "Campus" INTEGER, "Discipline" INTEGER, "Year" INTEGER, "Undergraduate" INTEGER, "Graduate" INTEGER, PRIMARY KEY (Campus, Discipline), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM discipline_enrollments LIMIT 1; Campus ||Discipline ||Year ||Undergraduate ||Graduate 1 || 4 ||2004 || 248 || 0 */ CREATE TABLE "enrollments" ( "Campus" INTEGER, "Year" INTEGER, "TotalEnrollment_AY" INTEGER, "FTE_AY" INTEGER, PRIMARY KEY(Campus, Year), FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM enrollments LIMIT 1; Campus ||Year ||TotalEnrollment_AY ||FTE_AY 1 ||1956 || 384 || 123 */ CREATE TABLE "faculty" ( "Campus" INTEGER, "Year" INTEGER, "Faculty" REAL, FOREIGN KEY (Campus) REFERENCES Campuses(Id) ) /* 1 example row: SELECT * FROM faculty LIMIT 1; Campus ||Year ||Faculty 1 ||2002 || 357.1 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */ ### Question Which poll resource provided the most number of candidate information?
[query_database(**{'query': 'SELECT poll_source FROM candidate GROUP BY poll_source ORDER BY count(*) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */ ### Question Find the id of the candidate who got the lowest oppose rate.
[query_database(**{'query': 'SELECT Candidate_ID FROM candidate ORDER BY oppose_rate 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 "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */ ### Question which poll source does the highest oppose rate come from?
[query_database(**{'query': 'SELECT poll_source FROM candidate ORDER BY oppose_rate 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 "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */ ### Question Find the average height and weight for all males (sex is M).
[query_database(**{'query': 'SELECT avg(height) , avg(weight) FROM people WHERE sex = 'M''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */ ### Question Find the average and minimum weight for each gender.
[query_database(**{'query': 'SELECT avg(weight) , min(weight) , sex FROM people GROUP BY sex'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */ ### Question Find the name of the candidates whose oppose percentage is the lowest for each sex.
[query_database(**{'query': 'SELECT t1.name , t1.sex , min(oppose_rate) FROM people AS t1 JOIN candidate AS t2 ON t1.people_id = t2.people_id GROUP BY t1.sex'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */ ### Question what are the names of people who did not participate in the candidate election.
[query_database(**{'query': 'SELECT name FROM people WHERE people_id NOT IN (SELECT people_id FROM candidate)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */ ### Question how many people are there whose weight is higher than 85 for each gender?
[query_database(**{'query': 'SELECT count(*) , sex FROM people WHERE weight > 85 GROUP BY sex'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */ ### Question Return the maximum support rate, minimum consider rate, and minimum oppose rate across all candidates?
[query_database(**{'query': 'SELECT max(support_rate) , min(consider_rate) , min(oppose_rate) FROM candidate'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */ ### Question What are the names of people who are shorter than average?
[query_database(**{'query': 'SELECT name FROM people WHERE height < (SELECT avg(height) FROM people)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "candidate" ( "Candidate_ID" int, "People_ID" int, "Poll_Source" text, "Date" text, "Support_rate" real, "Consider_rate" real, "Oppose_rate" real, "Unsure_rate" real, PRIMARY KEY ("Candidate_ID"), FOREIGN KEY ("People_ID") REFERENCES "people"("People_ID") ) /* 1 example row: SELECT * FROM candidate LIMIT 1; Candidate_ID ||People_ID || Poll_Source || Date ||Support_rate ||Consider_rate ||Oppose_rate ||Unsure_rate 1 || 1 ||WNBC/Marist Poll ||Feb 12–15, 2007 || 0.25 || 0.3 || 0.43 || 0.2 */ CREATE TABLE "people" ( "People_ID" int, "Sex" text, "Name" text, "Date_of_Birth" text, "Height" real, "Weight" real, PRIMARY KEY ("People_ID") ) /* 1 example row: SELECT * FROM people LIMIT 1; People_ID ||Sex || Name ||Date_of_Birth ||Height ||Weight 1 || M ||Hubert Henno || 06.10.1976 || 188.0 || 83.0 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question What are the names of all movies directed by Steven Spielberg?
[query_database(**{'query': 'SELECT title FROM Movie WHERE director = 'Steven Spielberg''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
2,438
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question How many movies were made before 2000?
[query_database(**{'query': 'SELECT count(*) FROM Movie WHERE YEAR < 2000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */
2,442
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */ ### Question How many reviewers listed?
[query_database(**{'query': 'SELECT count(*) FROM Reviewer'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Movie( mID int primary key, title text, year int, director text ) /* 1 example row: SELECT * FROM movie LIMIT 1; mID || title ||year || director 101 ||Gone with the Wind ||1939 ||Victor Fleming */ CREATE TABLE Reviewer( rID int primary key, name text) /* 1 example row: SELECT * FROM reviewer LIMIT 1; rID || name 201 ||Sarah Martinez */ CREATE TABLE Rating( rID int, mID int, stars int, ratingDate date, FOREIGN KEY (mID) references Movie(mID), FOREIGN KEY (rID) references Reviewer(rID) ) /* 1 example row: SELECT * FROM rating LIMIT 1; rID ||mID ||stars ||ratingDate 201 ||101 || 2 ||2011-01-22 */