Datasets:
truongpdd
/
BIRD_for_augment_sql2question

Dataset card Data Studio Files Community
1
q_id
int64
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question State the unemployed students who enlisted in marines. Clarification: enlisted in marines refers to organ = 'marines';
[query_database(**{'query': 'SELECT T1.name FROM unemployed AS T1 INNER JOIN enlist AS T2 ON T1.name = T2.name WHERE T2.organ = 'marines''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question State name of unemployed students who have the longest duration of absense from school. Clarification: longest duration of absense refers to MAX(month)
[query_database(**{'query': 'SELECT T1.name FROM longest_absense_from_school AS T1 INNER JOIN unemployed AS T2 ON T1.name = T2.name ORDER BY T1.month 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 bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/
4,441
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question State name of students who filed for bankruptcy and have the longest duration of absense from school. Clarification: longest duration of absense refers to MAX(month)
[query_database(**{'query': 'SELECT T1.name FROM longest_absense_from_school AS T1 INNER JOIN filed_for_bankrupcy AS T2 ON T1.name = T2.name ORDER BY T1.month 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 bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/
4,445
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question Which students have absents the most? Clarification: absents the most refers to MAX(month)
[query_database(**{'query': 'SELECT name FROM longest_absense_from_school WHERE month = ( SELECT MAX(month) FROM longest_absense_from_school )'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/
4,449
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question Among the students enlisted in marines, how many of them are disabled? Clarification: enlisted in marines refers to organ = 'marines';
[query_database(**{'query': 'SELECT COUNT(T1.name) FROM enlist AS T1 INNER JOIN disabled AS T2 ON T1.name = T2.name WHERE T1.organ = 'marines''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question List all the organisations of students who filed for bankcrupcy. Clarification: organization refers to organ; students who filed for bankrupcy refers to file_for_bankrupcy.name
[query_database(**{'query': 'SELECT T2.organ FROM filed_for_bankrupcy AS T1 INNER JOIN enlist AS T2 ON T1.name = T2.name'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/
4,457
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question List all the disabled female students. Clarification:
[query_database(**{'query': 'SELECT T1.name FROM disabled AS T1 INNER JOIN male AS T2 ON T1.name <> T2.name'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/
4,461
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question How many students are enlisted in the Army organization? Clarification: enlisted in the army refers to organ = 'army';
[query_database(**{'query': 'SELECT COUNT(name) FROM enlist WHERE organ = 'army''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/
4,465
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question How many students are enlisted in the Navy organization? Clarification: enlisted in the navy organization refers to organ = 'navy';
[query_database(**{'query': 'SELECT COUNT(name) FROM enlist WHERE organ = 'navy''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question How many female students have no payment due? Clarification: have no payment due refers to bool = 'neg'; female students refers to name NOT in male table
[query_database(**{'query': 'SELECT COUNT(name) FROM no_payment_due WHERE name NOT IN ( SELECT name FROM male )'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question How many unemployed students are enlisted in the Army organization? Clarification: organization refers to organ; organ = 'army';
[query_database(**{'query': 'SELECT COUNT(T1.name) FROM enlist AS T1 INNER JOIN unemployed AS T2 ON T2.name = T1.name WHERE T1.organ = 'army''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/
4,477
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question How many disabled students have payment due? Clarification: have payment due refers to bool = 'pos';
[query_database(**{'query': 'SELECT COUNT(T1.name) FROM disabled AS T1 INNER JOIN no_payment_due AS T2 ON T2.name = T1.name WHERE T2.bool = 'pos''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/
4,481
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question Calculate the percentage of students who have never been absent. Clarification: percentage = CONCAT(DIVIDE(MULTIPLY(COUNT(name WHERE month = 0), 100), COUNT(name)),'%'); never been absent refers to month = 0;
[query_database(**{'query': 'SELECT CAST(SUM(IIF(month = 0, 1, 0)) AS REAL) * 100 / COUNT(name) FROM longest_absense_from_school'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question List down the enrolled schools and duration of student214. Clarification: enrolled schools refers to school; duration refers to month; student214 is a name of student;
[query_database(**{'query': 'SELECT school, month FROM enrolled WHERE name = 'student214''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question List any five female students' names who enlisted for the air force. Clarification: female students refers to enlist.name who are NOT in male.name; air force refers to organ = 'air_force';
[query_database(**{'query': 'SELECT T1.name FROM enlist AS T1 LEFT JOIN male AS T2 ON T2.name = T1.name WHERE T2.name IS NULL AND T1.organ = 'air_force' LIMIT 5'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/
4,493
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question How many unemployed students filed for bankruptcy? Clarification: unemployed students who filed for bankruptcy refers to unemployed.name who are IN filed_for_bankrupcy.name;
[query_database(**{'query': 'SELECT COUNT(T1.name) FROM unemployed AS T1 INNER JOIN filed_for_bankrupcy AS T2 ON T2.name = T1.name'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/
4,497
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question List any ten male students who enlisted for foreign legion. Clarification: male students are mentioned in male.name; foreign legion refers to organ = 'foreign_legion';
[query_database(**{'query': 'SELECT T1.name FROM enlist AS T1 INNER JOIN male AS T2 ON T2.name = T1.name WHERE T1.organ = 'foreign_legion' LIMIT 10'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/
4,501
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question How many students enlist in the air force organization? Clarification: organization refers to organ; organ = 'air_force';
[query_database(**{'query': 'SELECT COUNT(name) FROM enlist WHERE organ = 'air_force''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/
4,505
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question Please provide a gender breakdown for each organization. Clarification: gender breakdown refers to the number of male and female; male are mentioned in male.name; female refers to enlist.name who are NOT in male.name; organization refers to organ;
[query_database(**{'query': 'SELECT IIF(T2.name IS NULL, 'female', 'male') AS gender FROM enlist AS T1 LEFT JOIN male AS T2 ON T2.name = T1.name GROUP BY T1.organ'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question How many students is disabled and unemployed at the same time? Clarification: students who are disabled and unemployed at the same time refers to disabled.name = unemployed.name;
[query_database(**{'query': 'SELECT COUNT(T1.name) FROM disabled AS T1 INNER JOIN unemployed AS T2 ON T2.name = T1.name'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/
4,513
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question What is the school and organization enrolled by student211? Clarification: organization refers to organ; student211 is a name of student;
[query_database(**{'query': 'SELECT T2.school, T1.organ FROM enlist AS T1 INNER JOIN enrolled AS T2 ON T2.name = T1.name WHERE T1.name = 'student211''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/
4,517
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question Calculate the average duration of absense of disabled male students. Clarification: average duration = DIVIDE(SUM(month), COUNT(month)); duration of absence refers to month; disabled male students refers to disabled.name who are IN male.name;
[query_database(**{'query': 'SELECT AVG(T1.month) FROM longest_absense_from_school AS T1 INNER JOIN disabled AS T2 ON T2.name = T1.name INNER JOIN male AS T3 ON T3.name = T2.name'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/
4,521
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question What is the status of payment of student 124? Clarification: status of payment is mentioned in no_payment_due; bool = 'pos' means the student has payment due; bool = 'neg' means the student has no payment due; student124 is a name of student;
[query_database(**{'query': 'SELECT `bool` FROM no_payment_due WHERE name = 'student124''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/
4,525
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question List out the number of disabled students who enlisted in marines. Clarification: marines refers to organ = 'marines';
[query_database(**{'query': 'SELECT COUNT(T1.name) FROM disabled AS T1 INNER JOIN enlist AS T2 ON T1.name = T2.name WHERE T2.organ = 'marines''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/
4,529
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question Calculate the ratio of disabled students who have never been absent from school. Clarification: ratio = MULTIPLY(DIVIDE(SUM(month = 0), COUNT(disabled.name)), 100); never been absent from school refers to month = 0;
[query_database(**{'query': 'SELECT 100 * SUM(IIF(T2.month = 0, 1, 0)) AS num FROM disabled AS T1 INNER JOIN longest_absense_from_school AS T2 ON T1.name = T2.name'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/
4,533
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question Calculate the average duration of absense of female students. Clarification: average duration = DIVIDE(SUM(month), COUNT(longest_absence_from_school.name which are NOT in male.name)); female students refers to longest_absence_from_school.name who are NOT in male.name;
[query_database(**{'query': 'SELECT AVG(T2.month) FROM person AS T1 INNER JOIN longest_absense_from_school AS T2 ON T1.name = T2.name LEFT JOIN male AS T3 ON T1.name = T3.name WHERE T3.name IS NULL'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/
4,537
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question How many students have absent from school? Clarification: have absent from school refers to month > 1;
[query_database(**{'query': 'SELECT COUNT(name) FROM longest_absense_from_school WHERE month > 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 bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/
4,541
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question How many disabled students are male? Clarification: male students are mentioned in male.name;
[query_database(**{'query': 'SELECT COUNT(T1.name) FROM male AS T1 INNER JOIN disabled AS T2 ON T1.name = T2.name'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question Among all students, calculate the percentage of male students. Clarification: percentage = MULTIPLY(DIVIDE(COUNT(male.name), COUNT(person.name)), 100); male students are mentioned in male.name;
[query_database(**{'query': 'SELECT CAST(COUNT(T2.name) AS REAL) * 100 / COUNT(T1.name) FROM person AS T1 LEFT JOIN male AS T2 ON T1.name = T2.name'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question Provide the name of disabled male students that are unemployed. Clarification: disabled male students that are unemployed refers to unemployed.name = male.name = disabled.name;
[query_database(**{'query': 'SELECT T2.NAME FROM unemployed AS T1 INNER JOIN male AS T2 ON T1.name = T2.name INNER JOIN disabled AS T3 ON T3.name = T2.name'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/
4,552
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question Calculate the average number of disabled female students enrolled in UCI. Clarification: average = DIVIDE(SUM(disabled.name who are not in male.name WHERE school = 'uci'), COUNT(enrolled.name)); female students refers to disabled.name who are NOT in male.name; UCI refers to school = 'uci';
[query_database(**{'query': 'SELECT CAST(SUM(IIF(T1.school = 'uci' AND T4.name IS NULL, 1, 0)) AS REAL) / COUNT(T1.name) FROM enrolled AS T1 INNER JOIN disabled AS T2 ON T1.name = T2.name INNER JOIN person AS T3 ON T1.name = T3.name LEFT JOIN male AS T4 ON T3.name = T4.name'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/
4,556
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question What is the name of the student with the longest duration of absence? Clarification: longest duration of absence refers to MAX(month);
[query_database(**{'query': 'SELECT name FROM longest_absense_from_school WHERE month = ( SELECT MAX(month) FROM longest_absense_from_school )'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/
4,559
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question Among the students that have a payment due, how many students are unemployed? Clarification: students that have a payment due refers to bool = 'pos';
[query_database(**{'query': 'SELECT COUNT(T1.name) FROM no_payment_due AS T1 INNER JOIN unemployed AS T2 ON T1.name = T2.name WHERE T1.bool = 'pos''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/
4,563
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question How many of the unemployed students are disabled? Clarification:
[query_database(**{'query': 'SELECT COUNT(T1.name) FROM unemployed AS T1 INNER JOIN disabled AS T2 ON T1.name = T2.name'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/
4,567
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question How many months did a student in the Air Force miss school the most? Clarification: Air Force refers to organ = 'air_force'; number of months a student miss school the most refers to MAX(COUNT(month));
[query_database(**{'query': 'SELECT T1.month FROM longest_absense_from_school AS T1 INNER JOIN enlist AS T2 ON T1.name = T2.name ORDER BY T1.month 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 bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question Which organization has the highest number of male students? Calculate for the percentage of the male students in the said organization. Clarification: organization refers to organ; highest number of male students refers to MAX(COUNT(male.name)); percentage = DIVIDE(COUNT(male.name), COUNT(person.name)), 1.0;
[query_database(**{'query': 'SELECT T.organ, T.per FROM ( SELECT T1.organ, CAST(COUNT(T3.name) AS REAL) / COUNT(T2.name) AS per , COUNT(T3.name) AS num FROM enlist AS T1 INNER JOIN person AS T2 ON T1.name = T2.name LEFT JOIN male AS T3 ON T2.name = T3.name GROUP BY T1.organ ) T ORDER BY T.num 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 bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Question ( questiontext TEXT, questionid INTEGER constraint Question_pk primary key ) /* 1 example row: SELECT * FROM question LIMIT 1; questiontext ||questionid What is your age? || 1 */ /* column definitions { "questiontext": "The detailed text of the question.", "questionid": "The unique id of the question." }*/ CREATE TABLE Survey ( SurveyID INTEGER constraint Survey_pk primary key, Description TEXT ) /* 1 example row: SELECT * FROM survey LIMIT 1; SurveyID || Description 2014 ||mental health survey for 2014 */ /* column definitions { "SurveyID": "The unique id of each survey ", "Description": "The Description of the specific survey." }*/ CREATE TABLE "Answer" ( AnswerText TEXT, SurveyID INTEGER constraint Answer_Survey_SurveyID_fk references Survey, UserID INTEGER, QuestionID INTEGER constraint Answer_Question_questionid_fk references Question, constraint Answer_pk primary key (UserID, QuestionID) ) /* 1 example row: SELECT * FROM answer LIMIT 1; AnswerText ||SurveyID ||UserID ||QuestionID 37 || 2014 || 1 || 1 */ /* column definitions { "AnswerText": "The specific and detailed answer text of each question.", "SurveyID": "The id of each survey.", "UserID": "The id of different user.", "QuestionID": "The id of different questions." }*/ ### Question Betweeen 2016 to 2019, which year recorded the highest number of people with mental illness? Clarification: Between 2016 to 2019 refer to SurveyID 2016 BETWEEN 2019; People with mental illness refers to AnswerText = 'Yes' where questionid = 34
[query_database(**{'query': 'SELECT T1.SurveyID FROM Answer AS T1 INNER JOIN Question AS T2 ON T1.QuestionID = T2.questionid WHERE T1.SurveyID BETWEEN 2016 AND 2019 AND T2.questionid = 34 AND T1.AnswerText LIKE 'Yes' GROUP BY T1.SurveyID ORDER BY COUNT(T1.UserID) 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 Question ( questiontext TEXT, questionid INTEGER constraint Question_pk primary key ) /* 1 example row: SELECT * FROM question LIMIT 1; questiontext ||questionid What is your age? || 1 */ /* column definitions { "questiontext": "The detailed text of the question.", "questionid": "The unique id of the question." }*/ CREATE TABLE Survey ( SurveyID INTEGER constraint Survey_pk primary key, Description TEXT ) /* 1 example row: SELECT * FROM survey LIMIT 1; SurveyID || Description 2014 ||mental health survey for 2014 */ /* column definitions { "SurveyID": "The unique id of each survey ", "Description": "The Description of the specific survey." }*/ CREATE TABLE "Answer" ( AnswerText TEXT, SurveyID INTEGER constraint Answer_Survey_SurveyID_fk references Survey, UserID INTEGER, QuestionID INTEGER constraint Answer_Question_questionid_fk references Question, constraint Answer_pk primary key (UserID, QuestionID) ) /* 1 example row: SELECT * FROM answer LIMIT 1; AnswerText ||SurveyID ||UserID ||QuestionID 37 || 2014 || 1 || 1 */ /* column definitions { "AnswerText": "The specific and detailed answer text of each question.", "SurveyID": "The id of each survey.", "UserID": "The id of different user.", "QuestionID": "The id of different questions." }*/
4,579
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Question ( questiontext TEXT, questionid INTEGER constraint Question_pk primary key ) /* 1 example row: SELECT * FROM question LIMIT 1; questiontext ||questionid What is your age? || 1 */ /* column definitions { "questiontext": "The detailed text of the question.", "questionid": "The unique id of the question." }*/ CREATE TABLE Survey ( SurveyID INTEGER constraint Survey_pk primary key, Description TEXT ) /* 1 example row: SELECT * FROM survey LIMIT 1; SurveyID || Description 2014 ||mental health survey for 2014 */ /* column definitions { "SurveyID": "The unique id of each survey ", "Description": "The Description of the specific survey." }*/ CREATE TABLE "Answer" ( AnswerText TEXT, SurveyID INTEGER constraint Answer_Survey_SurveyID_fk references Survey, UserID INTEGER, QuestionID INTEGER constraint Answer_Question_questionid_fk references Question, constraint Answer_pk primary key (UserID, QuestionID) ) /* 1 example row: SELECT * FROM answer LIMIT 1; AnswerText ||SurveyID ||UserID ||QuestionID 37 || 2014 || 1 || 1 */ /* column definitions { "AnswerText": "The specific and detailed answer text of each question.", "SurveyID": "The id of each survey.", "UserID": "The id of different user.", "QuestionID": "The id of different questions." }*/ ### Question Which country have the least number of users being surveyed? Indicate the name of the country. If there are multiple countries having the same number of users, indicate all of their names. Clarification: Country with least number of users being surveyed refers to MIN(COUNT(AnswerText)) where questionid = 3
[query_database(**{'query': 'SELECT T1.AnswerText FROM Answer AS T1 INNER JOIN Question AS T2 ON T1.QuestionID = T2.questionid WHERE T2.questionid = 3 GROUP BY T1.AnswerText ORDER BY COUNT(T1.UserID) 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 Question ( questiontext TEXT, questionid INTEGER constraint Question_pk primary key ) /* 1 example row: SELECT * FROM question LIMIT 1; questiontext ||questionid What is your age? || 1 */ /* column definitions { "questiontext": "The detailed text of the question.", "questionid": "The unique id of the question." }*/ CREATE TABLE Survey ( SurveyID INTEGER constraint Survey_pk primary key, Description TEXT ) /* 1 example row: SELECT * FROM survey LIMIT 1; SurveyID || Description 2014 ||mental health survey for 2014 */ /* column definitions { "SurveyID": "The unique id of each survey ", "Description": "The Description of the specific survey." }*/ CREATE TABLE "Answer" ( AnswerText TEXT, SurveyID INTEGER constraint Answer_Survey_SurveyID_fk references Survey, UserID INTEGER, QuestionID INTEGER constraint Answer_Question_questionid_fk references Question, constraint Answer_pk primary key (UserID, QuestionID) ) /* 1 example row: SELECT * FROM answer LIMIT 1; AnswerText ||SurveyID ||UserID ||QuestionID 37 || 2014 || 1 || 1 */ /* column definitions { "AnswerText": "The specific and detailed answer text of each question.", "SurveyID": "The id of each survey.", "UserID": "The id of different user.", "QuestionID": "The id of different questions." }*/
4,582
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Question ( questiontext TEXT, questionid INTEGER constraint Question_pk primary key ) /* 1 example row: SELECT * FROM question LIMIT 1; questiontext ||questionid What is your age? || 1 */ /* column definitions { "questiontext": "The detailed text of the question.", "questionid": "The unique id of the question." }*/ CREATE TABLE Survey ( SurveyID INTEGER constraint Survey_pk primary key, Description TEXT ) /* 1 example row: SELECT * FROM survey LIMIT 1; SurveyID || Description 2014 ||mental health survey for 2014 */ /* column definitions { "SurveyID": "The unique id of each survey ", "Description": "The Description of the specific survey." }*/ CREATE TABLE "Answer" ( AnswerText TEXT, SurveyID INTEGER constraint Answer_Survey_SurveyID_fk references Survey, UserID INTEGER, QuestionID INTEGER constraint Answer_Question_questionid_fk references Question, constraint Answer_pk primary key (UserID, QuestionID) ) /* 1 example row: SELECT * FROM answer LIMIT 1; AnswerText ||SurveyID ||UserID ||QuestionID 37 || 2014 || 1 || 1 */ /* column definitions { "AnswerText": "The specific and detailed answer text of each question.", "SurveyID": "The id of each survey.", "UserID": "The id of different user.", "QuestionID": "The id of different questions." }*/ ### Question How many questions in 2014's survey had more than 200 answers? Clarification: 2014 refer to SurveyID; COUNT(QuestionID) where COUNT(AnswerText) > 200
[query_database(**{'query': 'SELECT COUNT(QuestionID) FROM Answer WHERE SurveyID LIKE 2014 GROUP BY QuestionID ORDER BY COUNT(QuestionID) > 200 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 Question ( questiontext TEXT, questionid INTEGER constraint Question_pk primary key ) /* 1 example row: SELECT * FROM question LIMIT 1; questiontext ||questionid What is your age? || 1 */ /* column definitions { "questiontext": "The detailed text of the question.", "questionid": "The unique id of the question." }*/ CREATE TABLE Survey ( SurveyID INTEGER constraint Survey_pk primary key, Description TEXT ) /* 1 example row: SELECT * FROM survey LIMIT 1; SurveyID || Description 2014 ||mental health survey for 2014 */ /* column definitions { "SurveyID": "The unique id of each survey ", "Description": "The Description of the specific survey." }*/ CREATE TABLE "Answer" ( AnswerText TEXT, SurveyID INTEGER constraint Answer_Survey_SurveyID_fk references Survey, UserID INTEGER, QuestionID INTEGER constraint Answer_Question_questionid_fk references Question, constraint Answer_pk primary key (UserID, QuestionID) ) /* 1 example row: SELECT * FROM answer LIMIT 1; AnswerText ||SurveyID ||UserID ||QuestionID 37 || 2014 || 1 || 1 */ /* column definitions { "AnswerText": "The specific and detailed answer text of each question.", "SurveyID": "The id of each survey.", "UserID": "The id of different user.", "QuestionID": "The id of different questions." }*/
4,586
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Question ( questiontext TEXT, questionid INTEGER constraint Question_pk primary key ) /* 1 example row: SELECT * FROM question LIMIT 1; questiontext ||questionid What is your age? || 1 */ /* column definitions { "questiontext": "The detailed text of the question.", "questionid": "The unique id of the question." }*/ CREATE TABLE Survey ( SurveyID INTEGER constraint Survey_pk primary key, Description TEXT ) /* 1 example row: SELECT * FROM survey LIMIT 1; SurveyID || Description 2014 ||mental health survey for 2014 */ /* column definitions { "SurveyID": "The unique id of each survey ", "Description": "The Description of the specific survey." }*/ CREATE TABLE "Answer" ( AnswerText TEXT, SurveyID INTEGER constraint Answer_Survey_SurveyID_fk references Survey, UserID INTEGER, QuestionID INTEGER constraint Answer_Question_questionid_fk references Question, constraint Answer_pk primary key (UserID, QuestionID) ) /* 1 example row: SELECT * FROM answer LIMIT 1; AnswerText ||SurveyID ||UserID ||QuestionID 37 || 2014 || 1 || 1 */ /* column definitions { "AnswerText": "The specific and detailed answer text of each question.", "SurveyID": "The id of each survey.", "UserID": "The id of different user.", "QuestionID": "The id of different questions." }*/ ### Question How many users participated in the mental health survey for 2014? Clarification: mental health survey for 2014 refers to SurveyID = 2014
[query_database(**{'query': 'SELECT COUNT(DISTINCT T1.UserID) FROM Answer AS T1 INNER JOIN Survey AS T2 ON T1.SurveyID = T2.SurveyID WHERE T2.Description = 'mental health survey for 2014''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Question ( questiontext TEXT, questionid INTEGER constraint Question_pk primary key ) /* 1 example row: SELECT * FROM question LIMIT 1; questiontext ||questionid What is your age? || 1 */ /* column definitions { "questiontext": "The detailed text of the question.", "questionid": "The unique id of the question." }*/ CREATE TABLE Survey ( SurveyID INTEGER constraint Survey_pk primary key, Description TEXT ) /* 1 example row: SELECT * FROM survey LIMIT 1; SurveyID || Description 2014 ||mental health survey for 2014 */ /* column definitions { "SurveyID": "The unique id of each survey ", "Description": "The Description of the specific survey." }*/ CREATE TABLE "Answer" ( AnswerText TEXT, SurveyID INTEGER constraint Answer_Survey_SurveyID_fk references Survey, UserID INTEGER, QuestionID INTEGER constraint Answer_Question_questionid_fk references Question, constraint Answer_pk primary key (UserID, QuestionID) ) /* 1 example row: SELECT * FROM answer LIMIT 1; AnswerText ||SurveyID ||UserID ||QuestionID 37 || 2014 || 1 || 1 */ /* column definitions { "AnswerText": "The specific and detailed answer text of each question.", "SurveyID": "The id of each survey.", "UserID": "The id of different user.", "QuestionID": "The id of different questions." }*/
4,590
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Question ( questiontext TEXT, questionid INTEGER constraint Question_pk primary key ) /* 1 example row: SELECT * FROM question LIMIT 1; questiontext ||questionid What is your age? || 1 */ /* column definitions { "questiontext": "The detailed text of the question.", "questionid": "The unique id of the question." }*/ CREATE TABLE Survey ( SurveyID INTEGER constraint Survey_pk primary key, Description TEXT ) /* 1 example row: SELECT * FROM survey LIMIT 1; SurveyID || Description 2014 ||mental health survey for 2014 */ /* column definitions { "SurveyID": "The unique id of each survey ", "Description": "The Description of the specific survey." }*/ CREATE TABLE "Answer" ( AnswerText TEXT, SurveyID INTEGER constraint Answer_Survey_SurveyID_fk references Survey, UserID INTEGER, QuestionID INTEGER constraint Answer_Question_questionid_fk references Question, constraint Answer_pk primary key (UserID, QuestionID) ) /* 1 example row: SELECT * FROM answer LIMIT 1; AnswerText ||SurveyID ||UserID ||QuestionID 37 || 2014 || 1 || 1 */ /* column definitions { "AnswerText": "The specific and detailed answer text of each question.", "SurveyID": "The id of each survey.", "UserID": "The id of different user.", "QuestionID": "The id of different questions." }*/ ### Question Please list all the questions in the mental health survey for 2014. Clarification: mental health survey for 2014 refers to SurveyID = 2014
[query_database(**{'query': 'SELECT T2.questiontext FROM Answer AS T1 INNER JOIN Question AS T2 ON T1.QuestionID = T2.questionid INNER JOIN Survey AS T3 ON T1.SurveyID = T3.SurveyID WHERE T3.Description LIKE 'mental health survey for 2014' GROUP BY T2.questiontext'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Question ( questiontext TEXT, questionid INTEGER constraint Question_pk primary key ) /* 1 example row: SELECT * FROM question LIMIT 1; questiontext ||questionid What is your age? || 1 */ /* column definitions { "questiontext": "The detailed text of the question.", "questionid": "The unique id of the question." }*/ CREATE TABLE Survey ( SurveyID INTEGER constraint Survey_pk primary key, Description TEXT ) /* 1 example row: SELECT * FROM survey LIMIT 1; SurveyID || Description 2014 ||mental health survey for 2014 */ /* column definitions { "SurveyID": "The unique id of each survey ", "Description": "The Description of the specific survey." }*/ CREATE TABLE "Answer" ( AnswerText TEXT, SurveyID INTEGER constraint Answer_Survey_SurveyID_fk references Survey, UserID INTEGER, QuestionID INTEGER constraint Answer_Question_questionid_fk references Question, constraint Answer_pk primary key (UserID, QuestionID) ) /* 1 example row: SELECT * FROM answer LIMIT 1; AnswerText ||SurveyID ||UserID ||QuestionID 37 || 2014 || 1 || 1 */ /* column definitions { "AnswerText": "The specific and detailed answer text of each question.", "SurveyID": "The id of each survey.", "UserID": "The id of different user.", "QuestionID": "The id of different questions." }*/
4,594
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Question ( questiontext TEXT, questionid INTEGER constraint Question_pk primary key ) /* 1 example row: SELECT * FROM question LIMIT 1; questiontext ||questionid What is your age? || 1 */ /* column definitions { "questiontext": "The detailed text of the question.", "questionid": "The unique id of the question." }*/ CREATE TABLE Survey ( SurveyID INTEGER constraint Survey_pk primary key, Description TEXT ) /* 1 example row: SELECT * FROM survey LIMIT 1; SurveyID || Description 2014 ||mental health survey for 2014 */ /* column definitions { "SurveyID": "The unique id of each survey ", "Description": "The Description of the specific survey." }*/ CREATE TABLE "Answer" ( AnswerText TEXT, SurveyID INTEGER constraint Answer_Survey_SurveyID_fk references Survey, UserID INTEGER, QuestionID INTEGER constraint Answer_Question_questionid_fk references Question, constraint Answer_pk primary key (UserID, QuestionID) ) /* 1 example row: SELECT * FROM answer LIMIT 1; AnswerText ||SurveyID ||UserID ||QuestionID 37 || 2014 || 1 || 1 */ /* column definitions { "AnswerText": "The specific and detailed answer text of each question.", "SurveyID": "The id of each survey.", "UserID": "The id of different user.", "QuestionID": "The id of different questions." }*/ ### Question What is the rate of increase of users with a current mental disorder from 2019's survey to 2016's survey? Clarification: rate of increase = subtract(divide(count(SurveyID = 2019& QuestionID = 33& AnswerText = 'Yes'), count(SurveyID = 2019& QuestionID = 33)), divide(count(SurveyID = 2016& QuestionID = 33& AnswerText = 'Yes'), count(SurveyID = 2016& QuestionID = 33)))
[query_database(**{'query': 'SELECT CAST(( SELECT COUNT(T2.UserID) FROM Question AS T1 INNER JOIN Answer AS T2 ON T1.questionid = T2.QuestionID WHERE T2.SurveyID = 2019 AND T1.questiontext LIKE 'Do you currently have a mental health disorder?' AND T2.AnswerText = 'Yes' ) - ( SELECT COUNT(T2.UserID) FROM Question AS T1 INNER JOIN Answer AS T2 ON T1.questionid = T2.QuestionID WHERE T2.SurveyID = 2016 AND T1.questiontext LIKE 'Do you currently have a mental health disorder?' AND T2.AnswerText = 'Yes' ) AS REAL) * 100 / ( SELECT COUNT(T2.UserID) FROM Question AS T1 INNER JOIN Answer AS T2 ON T1.questionid = T2.QuestionID WHERE T2.SurveyID = 2016 AND T1.questiontext LIKE 'Do you currently have a mental health disorder?' AND T2.AnswerText = 'Yes' )'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Question ( questiontext TEXT, questionid INTEGER constraint Question_pk primary key ) /* 1 example row: SELECT * FROM question LIMIT 1; questiontext ||questionid What is your age? || 1 */ /* column definitions { "questiontext": "The detailed text of the question.", "questionid": "The unique id of the question." }*/ CREATE TABLE Survey ( SurveyID INTEGER constraint Survey_pk primary key, Description TEXT ) /* 1 example row: SELECT * FROM survey LIMIT 1; SurveyID || Description 2014 ||mental health survey for 2014 */ /* column definitions { "SurveyID": "The unique id of each survey ", "Description": "The Description of the specific survey." }*/ CREATE TABLE "Answer" ( AnswerText TEXT, SurveyID INTEGER constraint Answer_Survey_SurveyID_fk references Survey, UserID INTEGER, QuestionID INTEGER constraint Answer_Question_questionid_fk references Question, constraint Answer_pk primary key (UserID, QuestionID) ) /* 1 example row: SELECT * FROM answer LIMIT 1; AnswerText ||SurveyID ||UserID ||QuestionID 37 || 2014 || 1 || 1 */ /* column definitions { "AnswerText": "The specific and detailed answer text of each question.", "SurveyID": "The id of each survey.", "UserID": "The id of different user.", "QuestionID": "The id of different questions." }*/
4,603
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Question ( questiontext TEXT, questionid INTEGER constraint Question_pk primary key ) /* 1 example row: SELECT * FROM question LIMIT 1; questiontext ||questionid What is your age? || 1 */ /* column definitions { "questiontext": "The detailed text of the question.", "questionid": "The unique id of the question." }*/ CREATE TABLE Survey ( SurveyID INTEGER constraint Survey_pk primary key, Description TEXT ) /* 1 example row: SELECT * FROM survey LIMIT 1; SurveyID || Description 2014 ||mental health survey for 2014 */ /* column definitions { "SurveyID": "The unique id of each survey ", "Description": "The Description of the specific survey." }*/ CREATE TABLE "Answer" ( AnswerText TEXT, SurveyID INTEGER constraint Answer_Survey_SurveyID_fk references Survey, UserID INTEGER, QuestionID INTEGER constraint Answer_Question_questionid_fk references Question, constraint Answer_pk primary key (UserID, QuestionID) ) /* 1 example row: SELECT * FROM answer LIMIT 1; AnswerText ||SurveyID ||UserID ||QuestionID 37 || 2014 || 1 || 1 */ /* column definitions { "AnswerText": "The specific and detailed answer text of each question.", "SurveyID": "The id of each survey.", "UserID": "The id of different user.", "QuestionID": "The id of different questions." }*/ ### Question What was the most common answer for the question "What country do you work in?"? Clarification: most common answer refers to AnswerText where MAX(COUNT(AnswerText(QuestionID = 3)))
[query_database(**{'query': 'SELECT T1.AnswerText FROM Answer AS T1 INNER JOIN Question AS T2 ON T1.QuestionID = T2.questionid WHERE T2.questiontext = 'What country do you work in?' GROUP BY T1.AnswerText ORDER BY COUNT(T1.AnswerText) 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 Question ( questiontext TEXT, questionid INTEGER constraint Question_pk primary key ) /* 1 example row: SELECT * FROM question LIMIT 1; questiontext ||questionid What is your age? || 1 */ /* column definitions { "questiontext": "The detailed text of the question.", "questionid": "The unique id of the question." }*/ CREATE TABLE Survey ( SurveyID INTEGER constraint Survey_pk primary key, Description TEXT ) /* 1 example row: SELECT * FROM survey LIMIT 1; SurveyID || Description 2014 ||mental health survey for 2014 */ /* column definitions { "SurveyID": "The unique id of each survey ", "Description": "The Description of the specific survey." }*/ CREATE TABLE "Answer" ( AnswerText TEXT, SurveyID INTEGER constraint Answer_Survey_SurveyID_fk references Survey, UserID INTEGER, QuestionID INTEGER constraint Answer_Question_questionid_fk references Question, constraint Answer_pk primary key (UserID, QuestionID) ) /* 1 example row: SELECT * FROM answer LIMIT 1; AnswerText ||SurveyID ||UserID ||QuestionID 37 || 2014 || 1 || 1 */ /* column definitions { "AnswerText": "The specific and detailed answer text of each question.", "SurveyID": "The id of each survey.", "UserID": "The id of different user.", "QuestionID": "The id of different questions." }*/
4,608
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Question ( questiontext TEXT, questionid INTEGER constraint Question_pk primary key ) /* 1 example row: SELECT * FROM question LIMIT 1; questiontext ||questionid What is your age? || 1 */ /* column definitions { "questiontext": "The detailed text of the question.", "questionid": "The unique id of the question." }*/ CREATE TABLE Survey ( SurveyID INTEGER constraint Survey_pk primary key, Description TEXT ) /* 1 example row: SELECT * FROM survey LIMIT 1; SurveyID || Description 2014 ||mental health survey for 2014 */ /* column definitions { "SurveyID": "The unique id of each survey ", "Description": "The Description of the specific survey." }*/ CREATE TABLE "Answer" ( AnswerText TEXT, SurveyID INTEGER constraint Answer_Survey_SurveyID_fk references Survey, UserID INTEGER, QuestionID INTEGER constraint Answer_Question_questionid_fk references Question, constraint Answer_pk primary key (UserID, QuestionID) ) /* 1 example row: SELECT * FROM answer LIMIT 1; AnswerText ||SurveyID ||UserID ||QuestionID 37 || 2014 || 1 || 1 */ /* column definitions { "AnswerText": "The specific and detailed answer text of each question.", "SurveyID": "The id of each survey.", "UserID": "The id of different user.", "QuestionID": "The id of different questions." }*/ ### Question Give the number of users who took the "mental health survey for 2018". Clarification: mental health survey for 2018 refers to SurveyID = 2018
[query_database(**{'query': 'SELECT COUNT(DISTINCT T1.UserID) FROM Answer AS T1 INNER JOIN Survey AS T2 ON T1.SurveyID = T2.SurveyID WHERE T2.Description = 'mental health survey for 2018''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Question ( questiontext TEXT, questionid INTEGER constraint Question_pk primary key ) /* 1 example row: SELECT * FROM question LIMIT 1; questiontext ||questionid What is your age? || 1 */ /* column definitions { "questiontext": "The detailed text of the question.", "questionid": "The unique id of the question." }*/ CREATE TABLE Survey ( SurveyID INTEGER constraint Survey_pk primary key, Description TEXT ) /* 1 example row: SELECT * FROM survey LIMIT 1; SurveyID || Description 2014 ||mental health survey for 2014 */ /* column definitions { "SurveyID": "The unique id of each survey ", "Description": "The Description of the specific survey." }*/ CREATE TABLE "Answer" ( AnswerText TEXT, SurveyID INTEGER constraint Answer_Survey_SurveyID_fk references Survey, UserID INTEGER, QuestionID INTEGER constraint Answer_Question_questionid_fk references Question, constraint Answer_pk primary key (UserID, QuestionID) ) /* 1 example row: SELECT * FROM answer LIMIT 1; AnswerText ||SurveyID ||UserID ||QuestionID 37 || 2014 || 1 || 1 */ /* column definitions { "AnswerText": "The specific and detailed answer text of each question.", "SurveyID": "The id of each survey.", "UserID": "The id of different user.", "QuestionID": "The id of different questions." }*/
4,612
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Question ( questiontext TEXT, questionid INTEGER constraint Question_pk primary key ) /* 1 example row: SELECT * FROM question LIMIT 1; questiontext ||questionid What is your age? || 1 */ /* column definitions { "questiontext": "The detailed text of the question.", "questionid": "The unique id of the question." }*/ CREATE TABLE Survey ( SurveyID INTEGER constraint Survey_pk primary key, Description TEXT ) /* 1 example row: SELECT * FROM survey LIMIT 1; SurveyID || Description 2014 ||mental health survey for 2014 */ /* column definitions { "SurveyID": "The unique id of each survey ", "Description": "The Description of the specific survey." }*/ CREATE TABLE "Answer" ( AnswerText TEXT, SurveyID INTEGER constraint Answer_Survey_SurveyID_fk references Survey, UserID INTEGER, QuestionID INTEGER constraint Answer_Question_questionid_fk references Question, constraint Answer_pk primary key (UserID, QuestionID) ) /* 1 example row: SELECT * FROM answer LIMIT 1; AnswerText ||SurveyID ||UserID ||QuestionID 37 || 2014 || 1 || 1 */ /* column definitions { "AnswerText": "The specific and detailed answer text of each question.", "SurveyID": "The id of each survey.", "UserID": "The id of different user.", "QuestionID": "The id of different questions." }*/ ### Question How many times more for the number of users who took the "mental health survey for 2017" than "mental health survey for 2018"? Clarification: How many times more = subtract(count(UserID(SurveyID = 2017)), count(UserID(SurveyID = 2018)))
[query_database(**{'query': 'SELECT CAST(COUNT(T1.UserID) AS REAL) / ( SELECT COUNT(T1.UserID) FROM Answer AS T1 INNER JOIN Survey AS T2 ON T1.SurveyID = T2.SurveyID WHERE T2.Description = 'mental health survey for 2018' ) FROM Answer AS T1 INNER JOIN Survey AS T2 ON T1.SurveyID = T2.SurveyID WHERE T2.Description = 'mental health survey for 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 Question ( questiontext TEXT, questionid INTEGER constraint Question_pk primary key ) /* 1 example row: SELECT * FROM question LIMIT 1; questiontext ||questionid What is your age? || 1 */ /* column definitions { "questiontext": "The detailed text of the question.", "questionid": "The unique id of the question." }*/ CREATE TABLE Survey ( SurveyID INTEGER constraint Survey_pk primary key, Description TEXT ) /* 1 example row: SELECT * FROM survey LIMIT 1; SurveyID || Description 2014 ||mental health survey for 2014 */ /* column definitions { "SurveyID": "The unique id of each survey ", "Description": "The Description of the specific survey." }*/ CREATE TABLE "Answer" ( AnswerText TEXT, SurveyID INTEGER constraint Answer_Survey_SurveyID_fk references Survey, UserID INTEGER, QuestionID INTEGER constraint Answer_Question_questionid_fk references Question, constraint Answer_pk primary key (UserID, QuestionID) ) /* 1 example row: SELECT * FROM answer LIMIT 1; AnswerText ||SurveyID ||UserID ||QuestionID 37 || 2014 || 1 || 1 */ /* column definitions { "AnswerText": "The specific and detailed answer text of each question.", "SurveyID": "The id of each survey.", "UserID": "The id of different user.", "QuestionID": "The id of different questions." }*/
4,616
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Question ( questiontext TEXT, questionid INTEGER constraint Question_pk primary key ) /* 1 example row: SELECT * FROM question LIMIT 1; questiontext ||questionid What is your age? || 1 */ /* column definitions { "questiontext": "The detailed text of the question.", "questionid": "The unique id of the question." }*/ CREATE TABLE Survey ( SurveyID INTEGER constraint Survey_pk primary key, Description TEXT ) /* 1 example row: SELECT * FROM survey LIMIT 1; SurveyID || Description 2014 ||mental health survey for 2014 */ /* column definitions { "SurveyID": "The unique id of each survey ", "Description": "The Description of the specific survey." }*/ CREATE TABLE "Answer" ( AnswerText TEXT, SurveyID INTEGER constraint Answer_Survey_SurveyID_fk references Survey, UserID INTEGER, QuestionID INTEGER constraint Answer_Question_questionid_fk references Question, constraint Answer_pk primary key (UserID, QuestionID) ) /* 1 example row: SELECT * FROM answer LIMIT 1; AnswerText ||SurveyID ||UserID ||QuestionID 37 || 2014 || 1 || 1 */ /* column definitions { "AnswerText": "The specific and detailed answer text of each question.", "SurveyID": "The id of each survey.", "UserID": "The id of different user.", "QuestionID": "The id of different questions." }*/ ### Question How many respondents who participated in the survey in 2019 have ever sought treatment for a mental health disorder from a mental health professional? Clarification: respondents' and 'users' are synonyms, have ever sought treatment for a mental health disorder from a mental health professional refers to AnswerText(SurveyID = 2019& QuestionID = 7) = 1
[query_database(**{'query': 'SELECT COUNT(T1.UserID) FROM Answer AS T1 INNER JOIN Question AS T2 ON T1.QuestionID = T2.questionid WHERE T1.QuestionID = 7 AND T1.SurveyID = 2019 AND T1.AnswerText = 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 Question ( questiontext TEXT, questionid INTEGER constraint Question_pk primary key ) /* 1 example row: SELECT * FROM question LIMIT 1; questiontext ||questionid What is your age? || 1 */ /* column definitions { "questiontext": "The detailed text of the question.", "questionid": "The unique id of the question." }*/ CREATE TABLE Survey ( SurveyID INTEGER constraint Survey_pk primary key, Description TEXT ) /* 1 example row: SELECT * FROM survey LIMIT 1; SurveyID || Description 2014 ||mental health survey for 2014 */ /* column definitions { "SurveyID": "The unique id of each survey ", "Description": "The Description of the specific survey." }*/ CREATE TABLE "Answer" ( AnswerText TEXT, SurveyID INTEGER constraint Answer_Survey_SurveyID_fk references Survey, UserID INTEGER, QuestionID INTEGER constraint Answer_Question_questionid_fk references Question, constraint Answer_pk primary key (UserID, QuestionID) ) /* 1 example row: SELECT * FROM answer LIMIT 1; AnswerText ||SurveyID ||UserID ||QuestionID 37 || 2014 || 1 || 1 */ /* column definitions { "AnswerText": "The specific and detailed answer text of each question.", "SurveyID": "The id of each survey.", "UserID": "The id of different user.", "QuestionID": "The id of different questions." }*/
4,620
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Question ( questiontext TEXT, questionid INTEGER constraint Question_pk primary key ) /* 1 example row: SELECT * FROM question LIMIT 1; questiontext ||questionid What is your age? || 1 */ /* column definitions { "questiontext": "The detailed text of the question.", "questionid": "The unique id of the question." }*/ CREATE TABLE Survey ( SurveyID INTEGER constraint Survey_pk primary key, Description TEXT ) /* 1 example row: SELECT * FROM survey LIMIT 1; SurveyID || Description 2014 ||mental health survey for 2014 */ /* column definitions { "SurveyID": "The unique id of each survey ", "Description": "The Description of the specific survey." }*/ CREATE TABLE "Answer" ( AnswerText TEXT, SurveyID INTEGER constraint Answer_Survey_SurveyID_fk references Survey, UserID INTEGER, QuestionID INTEGER constraint Answer_Question_questionid_fk references Question, constraint Answer_pk primary key (UserID, QuestionID) ) /* 1 example row: SELECT * FROM answer LIMIT 1; AnswerText ||SurveyID ||UserID ||QuestionID 37 || 2014 || 1 || 1 */ /* column definitions { "AnswerText": "The specific and detailed answer text of each question.", "SurveyID": "The id of each survey.", "UserID": "The id of different user.", "QuestionID": "The id of different questions." }*/ ### Question List the top three popular responses to the question of the survey in 2017 with the question ID no.85. Clarification: survey in 2017 refers to SurveyID = 2017; questionID = 85; MAX(COUNT(AnswerText))
[query_database(**{'query': 'SELECT AnswerText FROM Answer WHERE QuestionID = 85 AND SurveyID = 2017 GROUP BY AnswerText ORDER BY COUNT(AnswerText) 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 Question ( questiontext TEXT, questionid INTEGER constraint Question_pk primary key ) /* 1 example row: SELECT * FROM question LIMIT 1; questiontext ||questionid What is your age? || 1 */ /* column definitions { "questiontext": "The detailed text of the question.", "questionid": "The unique id of the question." }*/ CREATE TABLE Survey ( SurveyID INTEGER constraint Survey_pk primary key, Description TEXT ) /* 1 example row: SELECT * FROM survey LIMIT 1; SurveyID || Description 2014 ||mental health survey for 2014 */ /* column definitions { "SurveyID": "The unique id of each survey ", "Description": "The Description of the specific survey." }*/ CREATE TABLE "Answer" ( AnswerText TEXT, SurveyID INTEGER constraint Answer_Survey_SurveyID_fk references Survey, UserID INTEGER, QuestionID INTEGER constraint Answer_Question_questionid_fk references Question, constraint Answer_pk primary key (UserID, QuestionID) ) /* 1 example row: SELECT * FROM answer LIMIT 1; AnswerText ||SurveyID ||UserID ||QuestionID 37 || 2014 || 1 || 1 */ /* column definitions { "AnswerText": "The specific and detailed answer text of each question.", "SurveyID": "The id of each survey.", "UserID": "The id of different user.", "QuestionID": "The id of different questions." }*/
4,624
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/ ### Question Please list the villains of all the movies directed by Wolfgang Reitherman. Clarification: Wolfgang Reitherman refers to director = 'Wolfgang Reitherman';
[query_database(**{'query': 'SELECT T2.villian FROM director AS T1 INNER JOIN characters AS T2 ON T1.name = T2.movie_title WHERE T1.director = 'Wolfgang Reitherman' AND T2.villian IS NOT NULL'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/ ### Question Please list the release dates of all the movies in which Alan Tudyk is a voice actor. Clarification: FALSE;
[query_database(**{'query': 'SELECT T2.release_date FROM `voice-actors` AS T1 INNER JOIN characters AS T2 ON T1.movie = T2.movie_title WHERE T1.`voice-actor` = 'Alan Tudyk''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/
4,632
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/ ### Question Please list the movies directed by Wolfgang Reitherman that can be watched by the general audience. Clarification: directed by Wolfgang Reitherman refers to director = 'Wolfgang Reitherman'; movies refer to movie_title; general audience refers to MPAA_rating = 'G';
[query_database(**{'query': 'SELECT T1.movie_title FROM `movies_total_gross` AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name WHERE T1.MPAA_rating = 'G' AND T2.director = 'Wolfgang Reitherman''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/
4,636
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/ ### Question Which movie is the character Robin Hood in? Clarification: Robin Hood is the main character of the movie which refers to hero = 'Robin Hood'; movie refers to movie_title;
[query_database(**{'query': 'SELECT movie_title FROM characters WHERE hero = 'Robin Hood''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/
4,640
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/ ### Question Which song is associated with the most popular Disney movie in 1970s? Clarification: the most popular movie refers to movie_title where MAX(total_gross); in 1970s refers to (cast(SUBSTR(release_date, instr(release_date, ', ') + 1) as int) between 1970 and 1979);
[query_database(**{'query': 'SELECT T2.song FROM movies_total_gross AS T1 INNER JOIN characters AS T2 ON T1.movie_title = T2.movie_title WHERE CAST(SUBSTR(T1.release_date, INSTR(T1.release_date, ', ') + 1) AS int) BETWEEN 1970 AND 1979 ORDER BY CAST(REPLACE(SUBSTR(T1.total_gross, 2), ',', '') AS float) 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 characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/
4,644
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/ ### Question For the movie in which Tress MacNeille was the voice actor for its character "Hyacinth Hippo", what was the release date of that movie? Clarification: FALSE;
[query_database(**{'query': 'SELECT T1.release_date FROM characters AS T1 INNER JOIN `voice-actors` AS T2 ON T2.movie = T1.movie_title WHERE T2.character = 'Hyacinth Hippo' AND T2.`voice-actor` = 'Tress MacNeille''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/
4,648
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/ ### Question The character Donald Duck has appeared in two Disney movies, which one has more grossing? Clarification: Donald Duck is the main character of the movie which refers to hero = 'Donald Duck'; which one has more grossing refers to movie_title where MAX(total_gross);
[query_database(**{'query': 'SELECT T1.movie_title FROM movies_total_gross AS T1 INNER JOIN characters AS T2 ON T1.movie_title = T2.movie_title WHERE T2.hero = 'Donald Duck' ORDER BY CAST(REPLACE(SUBSTR(total_gross, 2), ',', '') AS REAL) 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 characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/
4,652
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/ ### Question What are the names of the characters voiced by Frank Welker? Clarification: Frank Welker refers to voice-actor = 'Frank Welker';
[query_database(**{'query': 'SELECT character FROM `voice-actors` WHERE 'voice-actor' = 'Frank Welker''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/ ### Question How many of Gary Trousdale's movies are adventure movies? Clarification: Gary Trousdale refers director = 'Gary Trousdale'; the adventure movie refers to genre = 'Adventure';
[query_database(**{'query': 'SELECT COUNT(T.name) FROM ( SELECT T1.name FROM director AS T1 INNER JOIN movies_total_gross AS T2 ON T1.name = T2.movie_title WHERE T1.director = 'Gary Trousdale' AND T2.genre = 'Adventure' GROUP BY T1.name ) T'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/
4,660
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/ ### Question How many PG adventure movies did Ron Clements direct? Clarification: Ron Clements refers to director = 'Ron Clements'; PG is an abbreviation for parental guidance and refers to MPAA_rating = 'PG'; adventure movie refers to genre = 'Adventure';
[query_database(**{'query': 'SELECT COUNT(*) FROM director AS T1 INNER JOIN movies_total_gross AS T2 ON T1.name = T2.movie_title WHERE T1.director = 'Ron Clements' AND T2.MPAA_rating = 'PG' AND T2.genre = 'Adventure''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/
4,664
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/ ### Question Which director has made the most movies? Clarification: the most movies refers to MAX(COUNT(name));
[query_database(**{'query': 'SELECT director, COUNT(name) FROM director GROUP BY director ORDER BY COUNT(name) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/
4,668
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/ ### Question Provide a list of directors from the 1990s. Clarification: the 1990s refers to (cast(SUBSTR(release_date, instr(release_date, ', ') + 1) as int) between 1990 and 2000);
[query_database(**{'query': 'SELECT T2.director FROM movies_total_gross AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name AND CAST(SUBSTR(release_date, INSTR(release_date, ', ') + 1) AS int) BETWEEN 1990 AND 2000 GROUP BY T2.director'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/
4,672
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/ ### Question What is the highest grossing movie without a song? Clarification: the highest grossing movie without song refers to movie_title where MAX(total_gross) and song = 'null';
[query_database(**{'query': 'SELECT T1.movie_title FROM movies_total_gross AS T1 INNER JOIN characters AS T2 ON T2.movie_title = T1.movie_title WHERE T2.song IS NULL ORDER BY CAST(REPLACE(trim(T1.total_gross, '$'), ',', '') AS REAL) 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 characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/
4,676
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/ ### Question What are the total grosses for the movies with Jim Cummings as the voice actor? Clarification: FALSE;
[query_database(**{'query': 'SELECT T2.movie_title FROM `voice-actors` AS T1 INNER JOIN movies_total_gross AS T2 ON T2.movie_title = T1.movie WHERE T1.`voice-actor` = 'Jim Cummings' ORDER BY CAST(REPLACE(trim(T2.total_gross, '$'), ',', '') AS REAL) 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 characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/
4,680
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/ ### Question List the movies and genres released in 2016. Clarification: released in 2016 refers to substr(release_date, length(release_date) - 3, length(release_date)) = '2016'; movies refer to the movie_title;
[query_database(**{'query': 'SELECT movie_title, genre FROM movies_total_gross WHERE SUBSTR(release_date, LENGTH(release_date) - 3, LENGTH(release_date)) = '2016''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/
4,684
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/ ### Question List the PG-13 romantic comedy movie titles and their release dates. Clarification: PG-13 refers to MPAA_rating = 'PG-13'; romantic comedy refers to genre = 'Romantic Comedy';
[query_database(**{'query': 'SELECT movie_title, release_date FROM movies_total_gross WHERE MPAA_rating = 'PG-13' AND genre = 'Romantic Comedy''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/
4,689
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/ ### Question Describe the hero, director, and the release date of Mulan. Clarification: Mulan refers to movie_title = 'Mulan';
[query_database(**{'query': 'SELECT T1.hero, T2.director, T1.release_date FROM characters AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name WHERE T1.movie_title = 'Mulan''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/
4,693
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/ ### Question Who directed the most popular movie? Clarification: The most popular movie refers MAX(total_gross); who directed refers to director;
[query_database(**{'query': 'SELECT T2.director FROM movies_total_gross AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name ORDER BY CAST(REPLACE(trim(T1.total_gross, '$'), ',', '') AS REAL) 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 characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/ ### Question Provide the directors and MPAA ratings of the musical movies released in 1993. Clarification: Musical movies refer to genre = 'Musical'; released in 1993 refers to substr(release_date, length(release_date) - 3, length(release_date)) = '1993';
[query_database(**{'query': 'SELECT T2.director, T1.MPAA_rating FROM movies_total_gross AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name WHERE T1.genre = 'Musical' AND SUBSTR(T1.release_date, LENGTH(T1.release_date) - 3, LENGTH(T1.release_date)) = '1993''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/
4,700
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/ ### Question How many voice actors for the movie Aladdin? Clarification: Aladdin is the name of the movie which refers to movie = 'Aladdin';
[query_database(**{'query': 'SELECT COUNT('voice-actor') FROM `voice-actors` WHERE movie = 'Aladdin''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/ ### Question Provide the name of the song from the movie directed by Ben Sharpsteen. Clarification: Ben Sharpsteen refers to director = 'Ben Sharpsteen';
[query_database(**{'query': 'SELECT T1.song FROM characters AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name WHERE T2.director = 'Ben Sharpsteen''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/
4,709
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/ ### Question List the titles of movies directed by Jack Kinney that were released before 1947. Clarification: Jack Kinney refers to director = 'Jack Kinney'; released before 1947 refers to substr(release_date, length(release_date) - 1, length(release_date)) < '47';
[query_database(**{'query': 'SELECT T1.movie_title FROM characters AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name WHERE T2.director = 'Jack Kinney' AND SUBSTR(T1.release_date, LENGTH(T1.release_date) - 1, LENGTH(T1.release_date)) < '47''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/
4,713
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/ ### Question List all the main characters of the movie that are comedy genre. Clarification: Comedy refers to genre = 'Comedy'; the main character of the movie refers to hero;
[query_database(**{'query': 'SELECT T2.hero FROM movies_total_gross AS T1 INNER JOIN characters AS T2 ON T1.movie_title = T2.movie_title WHERE T1.genre = 'Comedy''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/ ### Question Calculate the percentage of directors whose films grossed over $100 million. Clarification: DIVIDE(COUNT(director where total_gross > 100000000), COUNT(director)) as percentage;
[query_database(**{'query': 'SELECT CAST(COUNT(DISTINCT CASE WHEN CAST(REPLACE(trim(T1.total_gross, '$'), ',', '') AS REAL) > 100000000 THEN T3.director ELSE NULL END) AS REAL) * 100 / COUNT(DISTINCT T3.director) FROM movies_total_gross AS T1 INNER JOIN characters AS T2 ON T1.movie_title = T2.movie_title INNER JOIN director AS T3 ON T1.movie_title = T3.name'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/
4,721
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/ ### Question Who was the first ever Disney villain? Clarification: the first ever villian is villian that was released before all others in time which refers to substr(release_date, length(release_date) - 1, length(release_date)) desc limit 1;
[query_database(**{'query': 'SELECT villian FROM characters ORDER BY SUBSTR(release_date, LENGTH(release_date) - 1, LENGTH(release_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 characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/
4,725
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/ ### Question Name the main character of Disney's most popular adventure movie based on its inflation-adjusted gross. Clarification: adventure movie refers to genre = 'Adventure'; the main character of the movie refers to hero; most popular movie based on its inflation-adjusted gross refers to where MAX(inflation_adjusted_gross);
[query_database(**{'query': 'SELECT T2.hero FROM movies_total_gross AS T1 INNER JOIN characters AS T2 ON T1.movie_title = T2.movie_title WHERE T1.genre = 'Adventure' ORDER BY CAST(REPLACE(trim(T1.inflation_adjusted_gross, '$'), ',', '') AS REAL) 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 characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/
4,729
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/ ### Question How many voice-actors were involved in the Bambi movie? Clarification: Bambi is the name of the movie which refers to movie = 'Bambi';
[query_database(**{'query': 'SELECT COUNT(DISTINCT 'voice-actor') FROM `voice-actors` WHERE movie = 'Bambi''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/
4,733
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/ ### Question Name actors who voiced more than five Disney characters. Clarification: Actors who voiced refer to voice-actor;
[query_database(**{'query': 'SELECT 'voice-actor' FROM `voice-actors` GROUP BY 'voice-actor' HAVING COUNT(movie) > 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 characters ( movie_title TEXT primary key, release_date TEXT, hero TEXT, villian TEXT, song TEXT, foreign key (hero) references "voice-actors"(character) ) /* 1 example row: SELECT * FROM characters LIMIT 1; movie_title ||release_date || hero || villian || song Snow White and the Seven Dwarfs || 21-Dec-37 ||Snow White ||Evil Queen ||Some Day My Prince Will Come */ /* column definitions { "movie_title": "unique title of the movie", "release_date": "The release date of the movie.", "hero": "The main character of the movie. ", "villian": "The villain of the movie.", "song": "A song associated with the movie." }*/ CREATE TABLE director ( name TEXT primary key, director TEXT, foreign key (name) references characters(movie_title) ) /* 1 example row: SELECT * FROM director LIMIT 1; name || director Snow White and the Seven Dwarfs ||David Hand */ /* column definitions { "name": "unique movie name", "director": "the name of the director" }*/ CREATE TABLE movies_total_gross ( movie_title TEXT, release_date TEXT, genre TEXT, MPAA_rating TEXT, total_gross TEXT, inflation_adjusted_gross TEXT, primary key (movie_title, release_date), foreign key (movie_title) references characters(movie_title) ) /* 1 example row: SELECT * FROM movies_total_gross LIMIT 1; movie_title ||release_date || genre ||MPAA_rating || total_gross ||inflation_adjusted_gross Snow White and the Seven Dwarfs ||Dec 21, 1937 ||Musical || G ||$184,925,485 || $5,228,953,251 */ /* column definitions { "movie_title": "movie title", "release_date": "release date", "genre": "genre of the movie", "MPAA_rating": "Motion Picture Association of America of the disney movie", "total_gross": "The total gross of the movie.", "inflation_adjusted_gross": "The inflation-adjusted gross of the movie." }*/ CREATE TABLE revenue ( Year INTEGER primary key, "Studio Entertainment[NI 1]" REAL, "Disney Consumer Products[NI 2]" REAL, "Disney Interactive[NI 3][Rev 1]" INTEGER, "Walt Disney Parks and Resorts" REAL, "Disney Media Networks" TEXT, Total INTEGER ) /* 1 example row: SELECT * FROM revenue LIMIT 1; Year ||Studio Entertainment[NI 1] ||Disney Consumer Products[NI 2] ||Disney Interactive[NI 3][Rev 1] ||Walt Disney Parks and Resorts ||Disney Media Networks ||Total 1991 || 2593.0 || 724.0 || None || 2794.0 || None || 6111 */ /* column definitions { "Year": "The year the movie was released.", "Studio Entertainment[NI 1]": "The studio entertainment segment of the Walt Disney Company.", "Disney Consumer Products[NI 2]": "The consumer products segment of the Walt Disney Company.", "Disney Interactive[NI 3][Rev 1]": "The interactive segment of the Walt Disney Company. ", "Walt Disney Parks and Resorts": "The parks and resorts segment of the Walt Disney Company.", "Disney Media Networks": "The media networks segment of the Walt Disney Company.", "Total": "The total box office gross for the movie." }*/ CREATE TABLE "voice-actors" ( character TEXT primary key, "voice-actor" TEXT, movie TEXT, foreign key (movie) references characters(movie_title) ) /* 1 example row: SELECT * FROM `voice-actors` LIMIT 1; character ||voice-actor || movie Abby Mallard ||Joan Cusack ||Chicken Little */ /* column definitions { "character": "The unique name of the character. ", "voice-actor": "The name of the voice actor.", "movie": "The name of the movie." }*/
4,737
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question Please list the official full names of all the current legislators who do not have an account on C-SPAN's video website. Clarification: legislators who do not have an account refers to cspan_id IS NULL OR cspan_id = ''
[query_database(**{'query': 'SELECT official_full_name FROM current WHERE cspan_id IS NULL OR cspan_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 current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
4,741
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question Which current legislator is older, Sherrod Brown or Maria Cantwell? Clarification: older refers to MAX(birthday_bio); 'Sherrod Brown' and 'Maria Cantwell' are official_full_name
[query_database(**{'query': 'SELECT official_full_name FROM current WHERE official_full_name = 'Sherrod Brown' OR official_full_name = 'Maria Cantwell' ORDER BY birthday_bio 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 current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
4,745
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question Please list the current official YouTube usernames of all the current female legislators. Clarification: official YouTube usernames refers to youtube; female refers to gender_bio = 'F'
[query_database(**{'query': 'SELECT T2.youtube FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T1.gender_bio = 'F''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question For how many terms has current legislator Sherrod Brown served? Clarification: Sherrod Brown is an official_full_name
[query_database(**{'query': 'SELECT COUNT(*) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'Sherrod Brown''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
4,753
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question Among the current legislators who have served for more than 6 terms, how many of them were born after 1960? Clarification: served for more than 6 terms refers to COUNT(bioguide > 6); born after 1960 refers to birthday_bio > = '1960-01-01'
[query_database(**{'query': 'SELECT COUNT(CID) FROM ( SELECT T1.bioguide_id AS CID FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.birthday_bio >= '1960-01-01' GROUP BY T2.bioguide HAVING COUNT(T2.bioguide) > 6 )'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
4,757
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question How many current legislators chose Republican as their political party? Clarification: chose Republican as their political party refers to party = 'Republican'
[query_database(**{'query': 'SELECT COUNT(*) FROM `current-terms` WHERE party = 'Republican''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
4,761
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question What type of political party Sherrod Brown has in 2005? Clarification: political party refers to party; Sherrod Brown is an official_full_name; official_full_name refers to first_name, last_name; 2005 refers to start = 2005
[query_database(**{'query': 'SELECT T1.party FROM `current-terms` AS T1 INNER JOIN current AS T2 ON T2.bioguide_id = T1.bioguide WHERE T2.first_name = 'Sherrod' AND T2.last_name = 'Brown' AND T1.start LIKE '%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 current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question List the last name of all current legislators who live in California. Clarification: California refers to state = 'CA'
[query_database(**{'query': 'SELECT T1.last_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.state = 'CA' GROUP BY T1.last_name'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
4,769
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question List the full name of all past legislators that chose Pro-Administration as their political party in year 1791. Clarification: full name refers to official_full_name; chose Pro-Administration as their political party refers to party = 'Pro-Administration'; 1791 refers to start < = 1791 AND END > = 1791
[query_database(**{'query': 'SELECT T1.first_name, T1.last_name FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.party = 'Pro-Administration' AND CAST(T2.start AS DATE) <= 1791 AND CAST(T2.END AS DATE) >= 1791'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
4,773
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question Calculate the average number of current male legislators who chose Democrat from 2000 until 2021. Clarification: male refers to gender_bio = 'M'; legislators who chose Democrat refers to party = 'Democrat'; from 2000 until 2021 refers to start > = 2000 AND END < = 2021; calculation = DIVIDE(COUNT(bioguide_id), 22)
[query_database(**{'query': 'SELECT CAST(COUNT(T1.bioguide_id) AS REAL) / 22 FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.gender_bio = 'M' AND CAST(T2.start AS DATE) >= 2000 AND CAST(T2.END AS DATE) <= 2021 AND T2.party = 'Democrat''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question Which party does Christopher Henderson Clark belong to? Clarification: Christopher Henderson Clark is full name; full name refers to first_name, middle_name, last_name
[query_database(**{'query': 'SELECT T1.party FROM `historical-terms` AS T1 INNER JOIN historical AS T2 ON T2.bioguide_id = T1.bioguide WHERE T2.first_name OR T2.middle_name OR T2.last_name = 'ChristopherHendersonClark''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
4,782
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question List the full names of 10 legislators who only have a Facebook account. Clarification: full names refers to official_full_name; only have a Facebook account refers to youtube is NULL or youtube = '', instagram is NULL or instagram = '', twitter is NULL or twitter = '', facebook is not NULL and facebook = ''
[query_database(**{'query': 'SELECT T2.official_full_name FROM `social-media` AS T1 INNER JOIN current AS T2 ON T1.bioguide = T2.bioguide_id WHERE (T1.youtube IS NULL OR T1.youtube = '') AND (T1.instagram IS NULL OR T1.instagram = '') AND (T1.twitter IS NULL OR T1.twitter = '') AND T1.facebook IS NOT NULL AND T1.facebook != '''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
4,787
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question Which state did Veronica Grace Boland represent and which party is she affiliated? Clarification: Veronica Grace Boland is a full name; full name refers to first_name, middle_name, last_name; party affiliated refers to party
[query_database(**{'query': 'SELECT T2.state, T2.party FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.first_name OR T1.middle_name OR T1.last_name = 'VeronicaGraceBoland''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
4,791
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question List the official full names and genders of legislators who have Collins as their last name. Clarification: genders refers to gender_bio; Collins is a last_name
[query_database(**{'query': 'SELECT official_full_name, gender_bio FROM current WHERE last_name = 'Collins''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
4,795
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question How old was Jr. F. James Sensenbrenner when he first started as a legislator? Clarification: Jr. F. James Sensenbrenner is an official_full_name; How old refers to SUBTRACT(MIN(start), birthday_bio)
[query_database(**{'query': 'SELECT CAST(MIN(T2.start) - T1.birthday_bio AS DATE) AS AGE FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'F. James Sensenbrenner, Jr.''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
4,799
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question Among the legislators who have served in the U.S. House, provide the party and the state of the legislators who were born in 1738. Clarification: have served in the U.S. House refers to house_history_id IS NOT NULL; born in 1738 refers to birthday_bio = 1738
[query_database(**{'query': 'SELECT T1.party, T1.state FROM `historical-terms` AS T1 INNER JOIN historical AS T2 ON T2.bioguide_id = T1.bioguide WHERE T2.house_history_id IS NOT NULL AND T2.birthday_bio LIKE '%1738%''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
4,802
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question Compare the number of legislators who started the term in 1875 and 2005. Clarification: started the term in 1875 refers to start LIKE '1875%'; started the term in 2005 refers to start LIKE '2005%'
[query_database(**{'query': 'SELECT SUM(CASE WHEN `current-terms`.start LIKE '2005%' THEN 1 ELSE 0 END) - ( SELECT SUM(CASE WHEN start LIKE '1875%' THEN 1 ELSE 0 END) FROM `historical-terms` ) FROM `current-terms`'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question How many legislators have not been registered in Federal Election Commission data? Clarification: have not been registered in Federal Election Commission data refers to fec_id is null OR fec_id = ''
[query_database(**{'query': 'SELECT COUNT(*) FROM current WHERE fec_id IS NULL OR fec_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 current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
4,810
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question How many legislators hold the title "Majority Leader"? Clarification:
[query_database(**{'query': 'SELECT COUNT(bioguide) FROM `current-terms` WHERE title = 'Majority Leader''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
4,814
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question Among male legislators, state number of the legislators who are not the senator. Clarification: male refers to gender_bio = M; not the senator refers to class IS NULL OR class = ''
[query_database(**{'query': 'SELECT COUNT(T3.state) FROM ( SELECT T2.state FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.gender_bio = 'M' AND (T2.class IS NULL OR T2.class = '') GROUP BY T2.state ) T3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
4,818
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question State the opensecrets_id of the legislator whose YouTube name is Bluetkemeyer. Clarification: Bluetkemeyer refers to youtube
[query_database(**{'query': 'SELECT T1.opensecrets_id FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T2.youtube = 'BLuetkemeyer''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question State number of legislators who are not the senator among female legislators. Clarification: not the senator refers to class IS NULL OR class = ''; female refers to gender_bio = 'F';
[query_database(**{'query': 'SELECT COUNT(*) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.gender_bio = 'F' AND (T2.class IS NULL OR T2.class = '')'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
4,824
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question How many minority leaders have not been registered in Federal Election Commission data? Clarification: minority leaders is a title; have not been registered in Federal Election Commission data refers to fec_id IS NULL OR fec_id = ''
[query_database(**{'query': 'SELECT COUNT(*) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.title = 'Minority Leader' AND (T1.fec_id IS NULL OR T1.fec_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 current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
4,830
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question What is the google entity ID of Benjamin Hawkins? Clarification:
[query_database(**{'query': 'SELECT google_entity_id_id FROM historical WHERE first_name = 'Benjamin' AND last_name = 'Hawkins''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/
4,834
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/ ### Question List down the open secrets and thomas ID of the democrat senators of New Jersey. Clarification: open secrets refers to opensecrets_id; democrat refers to party = democrat; senators refers to type = 'sen'; New Jersey refers to state = 'NJ';
[query_database(**{'query': 'SELECT T1.opensecrets_id, T1.thomas_id FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.type = 'sen' AND T2.state = 'NJ' GROUP BY T1.opensecrets_id, T1.thomas_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 current ( ballotpedia_id TEXT, bioguide_id TEXT, birthday_bio DATE, cspan_id REAL, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id REAL, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id INTEGER, votesmart_id REAL, wikidata_id TEXT, wikipedia_id TEXT, primary key (bioguide_id, cspan_id) ) /* 1 example row: SELECT * FROM current LIMIT 1; ballotpedia_id ||bioguide_id ||birthday_bio ||cspan_id || fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id Sherrod Brown || B000944 || 1952-11-09 || 5051.0 ||['H2OH13033', 'S6OH00163'] || Sherrod || M || kg:/m/034s80 || 400050 || 9996.0 || 29389.0 || Brown || S307 || 168.0 || None || None || Sherrod Brown || N00003535 || Lutheran || None || 136 || 27018.0 || Q381880 ||Sherrod Brown */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "current-terms" ( address TEXT, bioguide TEXT, caucus TEXT, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, primary key (bioguide, end), foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `current-terms` LIMIT 1; address ||bioguide ||caucus ||chamber ||class ||contact_form ||district || end || fax ||last ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000944 || None || None || None || None || 13.0 ||1995-01-03 ||None ||None ||None || None ||Democrat || None || None || None || None ||1993-01-05 || OH || None || None || rep ||None */ /* column definitions { "address": "the address of this legislator", "bioguide": "The alphanumeric ID for this legislator ", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE historical ( ballotpedia_id TEXT, bioguide_id TEXT primary key, bioguide_previous_id TEXT, birthday_bio TEXT, cspan_id TEXT, fec_id TEXT, first_name TEXT, gender_bio TEXT, google_entity_id_id TEXT, govtrack_id INTEGER, house_history_alternate_id TEXT, house_history_id REAL, icpsr_id REAL, last_name TEXT, lis_id TEXT, maplight_id TEXT, middle_name TEXT, nickname_name TEXT, official_full_name TEXT, opensecrets_id TEXT, religion_bio TEXT, suffix_name TEXT, thomas_id TEXT, votesmart_id TEXT, wikidata_id TEXT, wikipedia_id TEXT ) /* 1 example row: SELECT * FROM historical LIMIT 1; ballotpedia_id ||bioguide_id ||bioguide_previous_id ||birthday_bio ||cspan_id ||fec_id ||first_name ||gender_bio ||google_entity_id_id ||govtrack_id ||house_history_alternate_id ||house_history_id ||icpsr_id ||last_name ||lis_id ||maplight_id ||middle_name ||nickname_name ||official_full_name ||opensecrets_id ||religion_bio ||suffix_name ||thomas_id ||votesmart_id ||wikidata_id || wikipedia_id None || B000226 || None || 1745-04-02 || None || None || Richard || M || kg:/m/02pz46 || 401222 || None || None || 507.0 || Bassett || None || None || None || None || None || None || None || None || None || None || Q518823 ||Richard Bassett (politician) */ /* column definitions { "ballotpedia_id": "The ballotpedia.org page name for the person (spaces are given as spaces, not underscores).", "bioguide_previous_id": "The previous alphanumeric ID for this legislator ", "bioguide_id": "The alphanumeric ID for this legislator ", "birthday_bio": "The legislator's birthday,", "cspan_id": "The numeric ID for this legislator on C-SPAN's video website,", "fec_id": " A list of IDs for this legislator in Federal Election Commission data.", "first_name": "first name of the legislator", "gender_bio": "gender of the legislator", "google_entity_id_id": "google entity id", "govtrack_id": "The numeric ID for this legislator on GovTrack.us", "house_history_alternate_id": "The alternative numeric ID for this legislator", "house_history_id": "The numeric ID for this legislator on http://history.house.gov/People/Search/", "icpsr_id": "The numeric ID for this legislator in Keith Poole's VoteView.com website, originally based on an ID system by the Interuniversity Consortium for Political and Social Research (stored as an integer).", "last_name": "last name of the legislator", "lis_id": "The alphanumeric ID for this legislator found in Senate roll call votes", "maplight_id": "The numeric ID for this legislator on maplight.org", "middle_name": "the middle name of the legislator", "nickname_name": "nickname of the legislator", "official_full_name": "official full name", "opensecrets_id": "The alphanumeric ID for this legislator on OpenSecrets.org.", "religion_bio": "The legislator's religion.", "suffix_name": "suffix name", "thomas_id": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "votesmart_id": "The numeric ID for this legislator on VoteSmart.org", "wikidata_id": "the id for wikidata", "wikipedia_id": " The Wikipedia page name for the person" }*/ CREATE TABLE "historical-terms" ( address TEXT, bioguide TEXT primary key, chamber TEXT, class REAL, contact_form TEXT, district REAL, end TEXT, fax TEXT, last TEXT, middle TEXT, name TEXT, office TEXT, party TEXT, party_affiliations TEXT, phone TEXT, relation TEXT, rss_url TEXT, start TEXT, state TEXT, state_rank TEXT, title TEXT, type TEXT, url TEXT, foreign key (bioguide) references historical(bioguide_id) ) /* 1 example row: SELECT * FROM `historical-terms` LIMIT 1; address ||bioguide ||chamber ||class ||contact_form ||district || end || fax ||last ||middle ||name ||office || party ||party_affiliations ||phone ||relation ||rss_url || start ||state ||state_rank ||title ||type || url None || B000226 || None || 2.0 || None || None ||1793-03-03 ||None ||None || None ||None || None ||Anti-Administration || None || None || None || None ||1789-03-04 || DE || None || None || sen ||None */ /* column definitions { "bioguide": "The alphanumeric ID for this legislator ", "address": "the address of this legislator", "caucus": "caucus", "chamber": "chamber", "class": "class", "contact_form": "The website URL of the contact page on the legislator's official website", "district": "district", "end": "the end of the term", "fax": "The fax number of the legislator's Washington, D.C. office", "last": "the last known number", "middle": "", "name": "", "office": "office ", "party": "The political party of the legislator.", "party_affiliations": "This field is present if the legislator changed party or caucus affiliation during the term.", "phone": "The phone number of the legislator's Washington, D.C. office", "relation": "", "rss_url": "The URL to the official website's RSS feed", "start": "The date legislative service began: the date the legislator was sworn in, if known, or else the beginning of the legislator's term. ", "state": "state code", "state_rank": "whether they are the \"junior\" or \"senior\" senator", "title": "title of the legislator", "type": "The type of the term.", "url": "The official website URL of the legislator " }*/ CREATE TABLE "social-media" ( bioguide TEXT primary key, facebook TEXT, facebook_id REAL, govtrack REAL, instagram TEXT, instagram_id REAL, thomas INTEGER, twitter TEXT, twitter_id REAL, youtube TEXT, youtube_id TEXT, foreign key (bioguide) references current(bioguide_id) ) /* 1 example row: SELECT * FROM `social-media` LIMIT 1; bioguide || facebook || facebook_id ||govtrack ||instagram ||instagram_id ||thomas || twitter || twitter_id ||youtube || youtube_id R000600 ||congresswomanaumuaamata ||1537155909907320.0 ||412664.0 || None || None || 2222 ||RepAmata ||3026622545.0 || None ||UCGdrLQbt1PYDTPsampx4t1A */ /* column definitions { "bioguide": "The unique alphanumeric ID for this legislator ", "facebook": "The username of the current official Facebook presence of the legislator.", "facebook_id": "The numeric ID of the current official Facebook presence of the legislator.", "govtrack": "The numeric ID for this legislator on GovTrack.us", "instagram": "The current official Instagram handle of the legislator.", "instagram_id": "The numeric ID of the current official Instagram handle of the legislator.", "thomas": "The numeric ID for this legislator on http://thomas.gov and http://beta.congress.gov. ", "twitter": "The current official Twitter handle of the legislator.", "twitter_id": "The numeric ID of the current official twitter handle of the legislator.", "youtube": "The current official YouTube username of the legislator.", "youtube_id": "The current official YouTube channel ID of the legislator." }*/