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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 Which ministers are not a part of the Progress Party?
[query_database(**{'query': 'SELECT minister FROM party WHERE 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Which minister left office the latest?
[query_database(**{'query': 'SELECT minister FROM party ORDER BY left_office 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 all party names and the number of members in each party.
[query_database(**{'query': 'SELECT T2.party_name , count(*) FROM Member 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 and their respective regions?
[query_database(**{'query': 'SELECT T1.party_name , T2.region_name FROM party AS T1 JOIN region AS T2 ON T1.region_id = T2.region_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 Show the member names which are in both the party with id 3 and the party with id 1.
[query_database(**{'query': 'SELECT member_name FROM member WHERE party_id = 3 INTERSECT SELECT member_name FROM member WHERE party_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 "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 Count the number of party events.
[query_database(**{'query': 'SELECT count(*) FROM party_events'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
2,072
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 events are there 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 is the name of member in charge of greatest number of events?
[query_database(**{'query': 'SELECT T1.member_name FROM member AS T1 JOIN party_events AS T2 ON T1.member_id = T2.member_in_charge_id GROUP BY T2.member_in_charge_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 How many Annual Meeting events happened in the United Kingdom region?
[query_database(**{'query': 'SELECT count(*) FROM region AS t1 JOIN party AS t2 ON t1.region_id = t2.region_id JOIN party_events AS t3 ON t2.party_id = t3.party_id WHERE t1.region_name = "United Kingdom" AND t3.Event_Name = "Annaual Meeting"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
2,086
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 List the distinct positions of pilots older than 30.
[query_database(**{'query': 'SELECT DISTINCT POSITION FROM pilot WHERE Age > 30'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 */
2,090
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 most common nationality of pilots.
[query_database(**{'query': 'SELECT Nationality FROM pilot GROUP BY Nationality 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 "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 */
2,094
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 fleet series of the aircrafts flied by pilots younger than 34
[query_database(**{'query': 'SELECT T2.Fleet_Series FROM pilot_record AS T1 JOIN aircraft AS T2 ON T1.Aircraft_ID = T2.Aircraft_ID JOIN pilot AS T3 ON T1.Pilot_ID = T3.Pilot_ID WHERE T3.Age < 34'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
2,098
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 document status codes do we have?
[query_database(**{'query': 'SELECT document_status_code FROM Ref_Document_Status;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 are the shipping agent names?
[query_database(**{'query': 'SELECT shipping_agent_name FROM Ref_Shipping_Agents;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 How many employees do we have?
[query_database(**{'query': 'SELECT count(*) FROM Employees;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
2,110
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 roles that have more than one employee. List the role description and number of employees.
[query_database(**{'query': 'SELECT Roles.role_description , count(Employees.employee_id) FROM ROLES JOIN Employees ON Employees.role_code = Roles.role_code GROUP BY Employees.role_code HAVING count(Employees.employee_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 */
2,114
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 for any documents with the status code done and the type code paper.
[query_database(**{'query': 'SELECT document_id FROM Documents WHERE document_status_code = "done" AND document_type_code = "Paper";'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Which shipping agent shipped the most documents? List the shipping agent name and the number of documents.
[query_database(**{'query': 'SELECT Ref_Shipping_Agents.shipping_agent_name , count(Documents.document_id) FROM Ref_Shipping_Agents JOIN Documents ON Documents.shipping_agent_code = Ref_Shipping_Agents.shipping_agent_code GROUP BY Ref_Shipping_Agents.shipping_agent_code ORDER BY count(Documents.document_id) DESC LIMIT 1;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 */
2,120
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 mail date of the document with id 7?
[query_database(**{'query': 'SELECT mailing_date FROM Documents_Mailed WHERE document_id = 7;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 */
2,124
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 draft copies does the document with id 2 have?
[query_database(**{'query': 'SELECT count(*) FROM Draft_Copies WHERE document_id = 2;'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE 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 */
2,127
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 all employees in the circulation history of the document with id 1. List the employee's name.
[query_database(**{'query': 'SELECT Employees.employee_name FROM Employees JOIN Circulation_History ON Circulation_History.employee_id = Employees.employee_id WHERE Circulation_History.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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 List all department names ordered by their starting date.
[query_database(**{'query': 'SELECT dname FROM department ORDER BY mgr_start_date'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
2,135
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Return the first names and last names of employees who earn more than 30000 in salary.
[query_database(**{'query': 'SELECT fname , lname FROM employee WHERE salary > 30000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
2,139
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 ids and details of events that have more than one participants?
[query_database(**{'query': 'SELECT T1.event_id , T1.event_details FROM EVENTS AS T1 JOIN Participants_in_Events AS T2 ON T1.Event_ID = T2.Event_ID GROUP BY T1.Event_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 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 */
2,143
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 List the type of the services in alphabetical order.
[query_database(**{'query': 'SELECT service_type_code FROM services ORDER BY service_type_code'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 service id and type has the least number of participants?
[query_database(**{'query': 'SELECT T3.service_id , T4.Service_Type_Code FROM participants AS T1 JOIN Participants_in_Events AS T2 ON T1.Participant_ID = T2.Participant_ID JOIN EVENTS AS T3 ON T2.Event_ID = T3.Event_ID JOIN services AS T4 ON T3.service_id = T4.service_id GROUP BY T3.service_id ORDER BY count(*) 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 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 are all the distinct participant ids who attended any events?
[query_database(**{'query': 'SELECT count(DISTINCT participant_id) FROM participants_in_Events'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 "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 and date of the race that occurred most recently?
[query_database(**{'query': 'SELECT name , date 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 What are the unique names of all race held between 2014 and 2017?
[query_database(**{'query': 'SELECT DISTINCT name FROM races WHERE YEAR BETWEEN 2014 AND 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 What are the different driver ids and nationalities of all drivers who had a laptime of more than 100000 milliseconds?
[query_database(**{'query': 'SELECT DISTINCT T1.driverid , T1.nationality FROM drivers AS T1 JOIN laptimes AS T2 ON T1.driverid = T2.driverid WHERE T2.milliseconds > 100000'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 is the id and last name of the driver with the longest laptime?
[query_database(**{'query': 'SELECT T1.driverid , T1.surname FROM drivers AS T1 JOIN laptimes AS T2 ON T1.driverid = T2.driverid ORDER BY T2.milliseconds 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 */
2,172
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 were in the Australian Grand Prix held in 2009?
[query_database(**{'query': 'SELECT count(*) FROM results AS T1 JOIN races AS T2 ON T1.raceid = T2.raceid WHERE T2.name = "Australian Grand Prix" AND 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 */
2,176
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 and years of all races that had a driver with the last name Lewis?
[query_database(**{'query': 'SELECT T2.name , T2.year FROM results AS T1 JOIN races AS T2 ON T1.raceid = T2.raceid JOIN drivers AS T3 ON T1.driverid = T3.driverid WHERE T3.forename = "Lewis"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
2,180
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 first name of all the drivers who participated in the Australian Grand Prix and the Chinese Grand Prix?
[query_database(**{'query': 'SELECT T2.driverid , T3.forename 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" INTERSECT SELECT T2.driverid , T3.forename 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 */
2,184
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 all the different first names of the drivers who are in position as standing and won?
[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'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
2,188
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 nationality, how many different constructors are there?
[query_database(**{'query': 'SELECT count(*) , nationality FROM constructors GROUP BY nationality'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 the races held after 2017 in Spain?
[query_database(**{'query': 'SELECT T1.name FROM races AS T1 JOIN circuits AS T2 ON T1.circuitid = T2.circuitid WHERE T2.country = "Spain" AND T1.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 */
2,196
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 stop number for each driver that has a shorter pit stop than the driver in the race with id 841?
[query_database(**{'query': 'SELECT DISTINCT driverid , STOP FROM pitstops WHERE duration < (SELECT max(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 */
2,200
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 first names of all the different drivers in alphabetical order?
[query_database(**{'query': 'SELECT DISTINCT forename FROM drivers ORDER BY forename 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 "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 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 names,last names, and ids for all those that had more than 8 stops or participated in more than 5 races?
[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 */
2,212
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
2,216
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 ids and locations of all circuits in 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 */
2,220
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 for the 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 */
2,225
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 average fastest lap speed in races held after 2004 grouped by race name and ordered by year?
[query_database(**{'query': 'SELECT avg(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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 driver id and number of races of all drivers who have at most participated in 30 races?
[query_database(**{'query': 'SELECT T1.driverid , 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(*) <= 30'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 */
2,233
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 How many technicians are there?
[query_database(**{'query': 'SELECT count(*) 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 */
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 team and starting year of technicians?
[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 */
2,240
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 name of the technician whose team is not 'NYY'?
[query_database(**{'query': 'SELECT Name FROM technician WHERE Team != "NYY"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
2,244
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 starting year for the oldest technician?
[query_database(**{'query': 'SELECT Starting_Year FROM technician ORDER BY Age 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 "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 */
2,248
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 teams with the most technicians?
[query_database(**{'query': 'SELECT Team FROM technician GROUP BY Team 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 "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 */
2,252
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 technicians and the machine series that they repair?
[query_database(**{'query': 'SELECT T3.Name , T2.Machine_series 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'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
2,256
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 that are assigned to repair machines with more point values than 70?
[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 WHERE T2.value_points > 70'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
2,260
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 that have not been assigned to repair machines?
[query_database(**{'query': 'SELECT Name FROM technician WHERE technician_id NOT IN (SELECT technician_id FROM repair_assignment)'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
2,264
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 Count the number of entrepreneurs.
[query_database(**{'query': 'SELECT count(*) 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 What are the companies and investors that correspond to each entrepreneur?
[query_database(**{'query': 'SELECT Company , Investor 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 people, ordered by weight ascending.
[query_database(**{'query': 'SELECT Name FROM People ORDER BY Weight 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 "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 do no not have the investor Rachel Elnaugh.
[query_database(**{'query': 'SELECT T2.Name FROM entrepreneur AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID WHERE T1.Investor != "Rachel Elnaugh"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 name of the heaviest entrepreneur.
[query_database(**{'query': 'SELECT T2.Name FROM entrepreneur AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID ORDER BY T2.Weight 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 Return the dates of birth for entrepreneurs who have either the investor Simon Woodroffe or Peter Jones.
[query_database(**{'query': 'SELECT T2.Date_of_Birth FROM entrepreneur AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID WHERE T1.Investor = "Simon Woodroffe" OR T1.Investor = "Peter Jones"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 How many entrepreneurs correspond to each investor?
[query_database(**{'query': 'SELECT Investor , COUNT(*) FROM entrepreneur GROUP BY Investor'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 investors who have invested in two or more entrepreneurs.
[query_database(**{'query': 'SELECT Investor FROM entrepreneur GROUP BY Investor 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 "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 people who are not entrepreneurs?
[query_database(**{'query': 'SELECT Name FROM people WHERE People_ID NOT IN (SELECT People_ID 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 Count the number of different companies.
[query_database(**{'query': 'SELECT count(DISTINCT Company) 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 "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 date of perpetrators in descending order of the number of people killed.
[query_database(**{'query': 'SELECT Date FROM perpetrator ORDER BY Killed 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 */
2,308
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 people in ascending order of height?
[query_database(**{'query': 'SELECT Name FROM People ORDER BY Height ASC'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 is the total kills of the perpetrators with height more than 1.84.
[query_database(**{'query': 'SELECT sum(T2.Killed) FROM people AS T1 JOIN perpetrator AS T2 ON T1.People_ID = T2.People_ID WHERE T1.Height > 1.84'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 is the country that has the most perpetrators?
[query_database(**{'query': 'SELECT Country , COUNT(*) FROM perpetrator GROUP BY Country 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 "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 countries that have both perpetrators with injures more than 50 and perpetrators with injures smaller than 20.
[query_database(**{'query': 'SELECT Country FROM perpetrator WHERE Injured > 50 INTERSECT SELECT Country FROM perpetrator WHERE Injured < 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 "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 Report the name of all campuses in Los Angeles county.
[query_database(**{'query': 'SELECT campus 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 What are the campuses that opened in 1958?
[query_database(**{'query': 'SELECT campus FROM campuses WHERE YEAR = 1958'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 campuses opened between 1935 and 1939?
[query_database(**{'query': 'SELECT campus FROM campuses WHERE YEAR >= 1935 AND YEAR <= 1939'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 for San Jose State University in 1996?
[query_database(**{'query': 'SELECT campusfee FROM campuses AS T1 JOIN csu_fees AS T2 ON T1.id = t2.campus WHERE t1.campus = "San Jose 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 How many universities have a campus fee higher than average?
[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 What campuses are located in Los Angeles county and opened after 1950?
[query_database(**{'query': 'SELECT campus FROM campuses WHERE county = "Los Angeles" AND YEAR > 1950'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 campus has the most degrees conferred in all times?
[query_database(**{'query': 'SELECT campus FROM degrees GROUP BY campus 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 Find the average fee on a CSU campus in 1996
[query_database(**{'query': 'SELECT avg(campusfee) FROM csu_fees WHERE 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 What is the average fee for a CSU campus in the year of 2005?
[query_database(**{'query': 'SELECT avg(campusfee) FROM csu_fees WHERE YEAR = 2005'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 total number of degrees granted after 2000 for each Orange county campus?
[query_database(**{'query': 'SELECT T1.campus , sum(T2.degrees) FROM campuses AS T1 JOIN degrees AS T2 ON T1.id = T2.campus WHERE T1.county = "Orange" AND T2.year >= 2000 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 What campus started in year 1956, has more than 200 full time students, and more than 400 students enrolled?
[query_database(**{'query': 'SELECT T1.campus FROM campuses AS t1 JOIN enrollments AS t2 ON t1.id = t2.campus WHERE t2.year = 1956 AND totalenrollment_ay > 400 AND FTE_AY > 200'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 campuses are in Los Angeles county?
[query_database(**{'query': 'SELECT campus 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 What degrees were conferred in San Francisco State University in the year 2001?
[query_database(**{'query': 'SELECT degrees FROM campuses AS T1 JOIN degrees AS T2 ON t1.id = t2.campus WHERE t1.campus = "San Francisco State University" AND t2.year = 2001'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 at San Francisco State University in 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 members did the university that conferred the most degrees in 2002 have?
[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 at San Jose State
[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 In the year 2000, what is the campus fee for San Francisco State University?
[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 What is the total number of campuses?
[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 what are the top 3 highest support rates?
[query_database(**{'query': 'SELECT support_rate FROM candidate ORDER BY support_rate DESC LIMIT 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "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 */
2,403
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 support, consider, and oppose rates of each candidate, ordered ascending by their unsure rate?
[query_database(**{'query': 'SELECT Support_rate , Consider_rate , Oppose_rate FROM candidate ORDER BY unsure_rate'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 all people, ordered by their date of birth?
[query_database(**{'query': 'SELECT name FROM people ORDER BY date_of_birth'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 have a height greater than 200 or less than 190?
[query_database(**{'query': 'SELECT name FROM people WHERE height > 200 OR height < 190'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 is the name and sex of the candidate with the highest support rate?
[query_database(**{'query': 'SELECT t1.name , t1.sex FROM people AS t1 JOIN candidate AS t2 ON t1.people_id = t2.people_id ORDER BY t2.support_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 What is the sex of the candidate who had the highest unsure rate?
[query_database(**{'query': 'SELECT t1.sex FROM people AS t1 JOIN candidate AS t2 ON t1.people_id = t2.people_id GROUP BY t1.sex ORDER BY avg(t2.unsure_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 What are the names of candidates who have a lower support rate than oppose rate?
[query_database(**{'query': 'SELECT t1.name FROM people AS t1 JOIN candidate AS t2 ON t1.people_id = t2.people_id WHERE t2.support_rate < t2.oppose_rate'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 highest support percentage, lowest consider rate and oppose rate of 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 find the name of people whose height is lower than the 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 Find the titles 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 */
2,439
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */
2,443
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 are there?
[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 */
2,447
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 is the id of the reviewer named Daniel Lewis?
[query_database(**{'query': 'SELECT rID FROM Reviewer WHERE name = "Daniel Lewis"'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your 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 */