QIAN-ME/bird_schema_data huggingface dataset:
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 student_loan
【Schema】
# Table: unemployed
[
(name:TEXT, Primary Key, Examples: [student1000, student102, student106])
]
# Table: longest_absense_from_school
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100]),
(month:INTEGER, Examples: [0, 1, 2])
]
# Table: disabled
[
(name:TEXT, Primary Key, Examples: [student114, student125, student142])
]
# Table: person
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100])
]
# Table: male
[
(name:TEXT, Primary Key, Examples: [student1, student101, student102])
]
# Table: no_payment_due
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100]),
(bool:TEXT, Examples: [neg, pos])
]
# Table: enrolled
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100]),
(school:TEXT, Primary Key, Examples: [occ, smc, ucb]),
(month:INTEGER, Examples: [1, 2, 3])
]
# Table: enlist
[
(name:TEXT, Examples: [student40, student51, student109]),
(organ:TEXT, Examples: [fire_department, air_force, navy])
]
# Table: bool
[
(name:TEXT, Primary Key, Examples: [neg, pos])
]
# Table: filed_for_bankrupcy
[
(name:TEXT, Primary Key, Examples: [student122, student126, student136])
]
【Foreign keys】
unemployed.name=person.name
longest_absense_from_school.name=person.name
disabled.name=person.name
male.name=person.name
no_payment_due.name=person.name
no_payment_due.bool=bool.name
enrolled.name=person.name
enlist.name=person.name
filed_for_bankrupcy.name=person.name

    【Question】
    Please list the names of the male students that belong to the navy department. belong to the navy department refers to organ = 'navy';

    【Evidence】
    belong to the navy department refers to organ = 'navy';

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T1.name FROM enlist AS T1 INNER JOIN male AS T2 ON T1.`name` = T2.`name` WHERE T1.organ = 'navy'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 student_loan
【Schema】
# Table: unemployed
[
(name:TEXT, Primary Key, Examples: [student1000, student102, student106])
]
# Table: longest_absense_from_school
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100]),
(month:INTEGER, Examples: [0, 1, 2])
]
# Table: disabled
[
(name:TEXT, Primary Key, Examples: [student114, student125, student142])
]
# Table: person
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100])
]
# Table: male
[
(name:TEXT, Primary Key, Examples: [student1, student101, student102])
]
# Table: no_payment_due
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100]),
(bool:TEXT, Examples: [neg, pos])
]
# Table: enrolled
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100]),
(school:TEXT, Primary Key, Examples: [occ, smc, ucb]),
(month:INTEGER, Examples: [1, 2, 3])
]
# Table: enlist
[
(name:TEXT, Examples: [student40, student51, student109]),
(organ:TEXT, Examples: [fire_department, air_force, navy])
]
# Table: bool
[
(name:TEXT, Primary Key, Examples: [neg, pos])
]
# Table: filed_for_bankrupcy
[
(name:TEXT, Primary Key, Examples: [student122, student126, student136])
]
【Foreign keys】
unemployed.name=person.name
longest_absense_from_school.name=person.name
disabled.name=person.name
male.name=person.name
no_payment_due.name=person.name
no_payment_due.bool=bool.name
enrolled.name=person.name
enlist.name=person.name
filed_for_bankrupcy.name=person.name

    【Question】
    Among the students that have filed for bankruptcy, how many of them have been absent from school for over 5 months? absent from school for over 5 months refers to `month` > 5;

    【Evidence】
    absent from school for over 5 months refers to `month` > 5;

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT COUNT(T1.name) FROM filed_for_bankrupcy AS T1 INNER JOIN longest_absense_from_school AS T2 ON T1.`name` = T2.`name` WHERE T2.`month` > 5
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 student_loan
【Schema】
# Table: unemployed
[
(name:TEXT, Primary Key, Examples: [student1000, student102, student106])
]
# Table: longest_absense_from_school
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100]),
(month:INTEGER, Examples: [0, 1, 2])
]
# Table: disabled
[
(name:TEXT, Primary Key, Examples: [student114, student125, student142])
]
# Table: person
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100])
]
# Table: male
[
(name:TEXT, Primary Key, Examples: [student1, student101, student102])
]
# Table: no_payment_due
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100]),
(bool:TEXT, Examples: [neg, pos])
]
# Table: enrolled
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100]),
(school:TEXT, Primary Key, Examples: [occ, smc, ucb]),
(month:INTEGER, Examples: [1, 2, 3])
]
# Table: enlist
[
(name:TEXT, Examples: [student40, student51, student109]),
(organ:TEXT, Examples: [fire_department, air_force, navy])
]
# Table: bool
[
(name:TEXT, Primary Key, Examples: [neg, pos])
]
# Table: filed_for_bankrupcy
[
(name:TEXT, Primary Key, Examples: [student122, student126, student136])
]
【Foreign keys】
unemployed.name=person.name
longest_absense_from_school.name=person.name
disabled.name=person.name
male.name=person.name
no_payment_due.name=person.name
no_payment_due.bool=bool.name
enrolled.name=person.name
enlist.name=person.name
filed_for_bankrupcy.name=person.name

    【Question】
    Among the students from the navy department, how many of them have payment due? from the navy department refers to organ = 'navy'; have payment due refers to bool = 'pos';

    【Evidence】
    from the navy department refers to organ = 'navy'; have payment due refers to bool = 'pos';

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT COUNT(T1.name) FROM enlist AS T1 INNER JOIN no_payment_due AS T2 ON T1.`name` = T2.`name` WHERE T1.organ = 'navy' AND T2.bool = 'pos'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 student_loan
【Schema】
# Table: unemployed
[
(name:TEXT, Primary Key, Examples: [student1000, student102, student106])
]
# Table: longest_absense_from_school
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100]),
(month:INTEGER, Examples: [0, 1, 2])
]
# Table: disabled
[
(name:TEXT, Primary Key, Examples: [student114, student125, student142])
]
# Table: person
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100])
]
# Table: male
[
(name:TEXT, Primary Key, Examples: [student1, student101, student102])
]
# Table: no_payment_due
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100]),
(bool:TEXT, Examples: [neg, pos])
]
# Table: enrolled
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100]),
(school:TEXT, Primary Key, Examples: [occ, smc, ucb]),
(month:INTEGER, Examples: [1, 2, 3])
]
# Table: enlist
[
(name:TEXT, Examples: [student40, student51, student109]),
(organ:TEXT, Examples: [fire_department, air_force, navy])
]
# Table: bool
[
(name:TEXT, Primary Key, Examples: [neg, pos])
]
# Table: filed_for_bankrupcy
[
(name:TEXT, Primary Key, Examples: [student122, student126, student136])
]
【Foreign keys】
unemployed.name=person.name
longest_absense_from_school.name=person.name
disabled.name=person.name
male.name=person.name
no_payment_due.name=person.name
no_payment_due.bool=bool.name
enrolled.name=person.name
enlist.name=person.name
filed_for_bankrupcy.name=person.name

    【Question】
    Please list the male students that are disabled and have filed for bankruptcy. male students that are disabled and have filed for bankruptcy refers to name that appeared in all three male, disabled and filed_for_bankrupcy tables.

    【Evidence】
    male students that are disabled and have filed for bankruptcy refers to name that appeared in all three male, disabled and filed_for_bankrupcy tables.

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T1.name, T2.name, T3.name FROM disabled AS T1 INNER JOIN male AS T2 ON T1.`name` = T2.`name` INNER JOIN filed_for_bankrupcy AS T3 ON T1.`name` = T3.`name`
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 student_loan
【Schema】
# Table: unemployed
[
(name:TEXT, Primary Key, Examples: [student1000, student102, student106])
]
# Table: longest_absense_from_school
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100]),
(month:INTEGER, Examples: [0, 1, 2])
]
# Table: disabled
[
(name:TEXT, Primary Key, Examples: [student114, student125, student142])
]
# Table: person
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100])
]
# Table: male
[
(name:TEXT, Primary Key, Examples: [student1, student101, student102])
]
# Table: no_payment_due
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100]),
(bool:TEXT, Examples: [neg, pos])
]
# Table: enrolled
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100]),
(school:TEXT, Primary Key, Examples: [occ, smc, ucb]),
(month:INTEGER, Examples: [1, 2, 3])
]
# Table: enlist
[
(name:TEXT, Examples: [student40, student51, student109]),
(organ:TEXT, Examples: [fire_department, air_force, navy])
]
# Table: bool
[
(name:TEXT, Primary Key, Examples: [neg, pos])
]
# Table: filed_for_bankrupcy
[
(name:TEXT, Primary Key, Examples: [student122, student126, student136])
]
【Foreign keys】
unemployed.name=person.name
longest_absense_from_school.name=person.name
disabled.name=person.name
male.name=person.name
no_payment_due.name=person.name
no_payment_due.bool=bool.name
enrolled.name=person.name
enlist.name=person.name
filed_for_bankrupcy.name=person.name

    【Question】
    How many female students are disabled? females students are disabled refers to name that appeared in both disabled and male tables

    【Evidence】
    females students are disabled refers to name that appeared in both disabled and male tables

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT COUNT(name) FROM disabled WHERE name NOT IN ( SELECT name FROM male )
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 student_loan
【Schema】
# Table: unemployed
[
(name:TEXT, Primary Key, Examples: [student1000, student102, student106])
]
# Table: longest_absense_from_school
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100]),
(month:INTEGER, Examples: [0, 1, 2])
]
# Table: disabled
[
(name:TEXT, Primary Key, Examples: [student114, student125, student142])
]
# Table: person
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100])
]
# Table: male
[
(name:TEXT, Primary Key, Examples: [student1, student101, student102])
]
# Table: no_payment_due
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100]),
(bool:TEXT, Examples: [neg, pos])
]
# Table: enrolled
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100]),
(school:TEXT, Primary Key, Examples: [occ, smc, ucb]),
(month:INTEGER, Examples: [1, 2, 3])
]
# Table: enlist
[
(name:TEXT, Examples: [student40, student51, student109]),
(organ:TEXT, Examples: [fire_department, air_force, navy])
]
# Table: bool
[
(name:TEXT, Primary Key, Examples: [neg, pos])
]
# Table: filed_for_bankrupcy
[
(name:TEXT, Primary Key, Examples: [student122, student126, student136])
]
【Foreign keys】
unemployed.name=person.name
longest_absense_from_school.name=person.name
disabled.name=person.name
male.name=person.name
no_payment_due.name=person.name
no_payment_due.bool=bool.name
enrolled.name=person.name
enlist.name=person.name
filed_for_bankrupcy.name=person.name

    【Question】
    How many students are unemployed and have payment due? are unemployed and have payment due refers to

    【Evidence】
    are unemployed and have payment due refers to

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT COUNT(T1.name) FROM unemployed AS T1 INNER JOIN no_payment_due AS T2 ON T1.`name` = T2.`name`
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 student_loan
【Schema】
# Table: unemployed
[
(name:TEXT, Primary Key, Examples: [student1000, student102, student106])
]
# Table: longest_absense_from_school
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100]),
(month:INTEGER, Examples: [0, 1, 2])
]
# Table: disabled
[
(name:TEXT, Primary Key, Examples: [student114, student125, student142])
]
# Table: person
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100])
]
# Table: male
[
(name:TEXT, Primary Key, Examples: [student1, student101, student102])
]
# Table: no_payment_due
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100]),
(bool:TEXT, Examples: [neg, pos])
]
# Table: enrolled
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100]),
(school:TEXT, Primary Key, Examples: [occ, smc, ucb]),
(month:INTEGER, Examples: [1, 2, 3])
]
# Table: enlist
[
(name:TEXT, Examples: [student40, student51, student109]),
(organ:TEXT, Examples: [fire_department, air_force, navy])
]
# Table: bool
[
(name:TEXT, Primary Key, Examples: [neg, pos])
]
# Table: filed_for_bankrupcy
[
(name:TEXT, Primary Key, Examples: [student122, student126, student136])
]
【Foreign keys】
unemployed.name=person.name
longest_absense_from_school.name=person.name
disabled.name=person.name
male.name=person.name
no_payment_due.name=person.name
no_payment_due.bool=bool.name
enrolled.name=person.name
enlist.name=person.name
filed_for_bankrupcy.name=person.name

    【Question】
    What is the longest time for a student from the navy department to be absent from school? navy department refers to organ = 'navy'; longest time to be absent from school refers to MAX(month)

    【Evidence】
    navy department refers to organ = 'navy'; longest time to be absent from school refers to MAX(month)

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T1.month FROM longest_absense_from_school AS T1 INNER JOIN enlist AS T2 ON T1.`name` = T2.`name` WHERE T2.organ = 'navy' ORDER BY T1.`month` DESC LIMIT 1
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 student_loan
【Schema】
# Table: unemployed
[
(name:TEXT, Primary Key, Examples: [student1000, student102, student106])
]
# Table: longest_absense_from_school
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100]),
(month:INTEGER, Examples: [0, 1, 2])
]
# Table: disabled
[
(name:TEXT, Primary Key, Examples: [student114, student125, student142])
]
# Table: person
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100])
]
# Table: male
[
(name:TEXT, Primary Key, Examples: [student1, student101, student102])
]
# Table: no_payment_due
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100]),
(bool:TEXT, Examples: [neg, pos])
]
# Table: enrolled
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100]),
(school:TEXT, Primary Key, Examples: [occ, smc, ucb]),
(month:INTEGER, Examples: [1, 2, 3])
]
# Table: enlist
[
(name:TEXT, Examples: [student40, student51, student109]),
(organ:TEXT, Examples: [fire_department, air_force, navy])
]
# Table: bool
[
(name:TEXT, Primary Key, Examples: [neg, pos])
]
# Table: filed_for_bankrupcy
[
(name:TEXT, Primary Key, Examples: [student122, student126, student136])
]
【Foreign keys】
unemployed.name=person.name
longest_absense_from_school.name=person.name
disabled.name=person.name
male.name=person.name
no_payment_due.name=person.name
no_payment_due.bool=bool.name
enrolled.name=person.name
enlist.name=person.name
filed_for_bankrupcy.name=person.name

    【Question】
    How many disabled students have never been absent from school? never been absent from school refers to month = 0

    【Evidence】
    never been absent from school refers to month = 0

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT COUNT(T1.name) FROM longest_absense_from_school AS T1 INNER JOIN disabled AS T2 ON T1.`name` = T2.`name` WHERE T1.`month` = 0
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 student_loan
【Schema】
# Table: unemployed
[
(name:TEXT, Primary Key, Examples: [student1000, student102, student106])
]
# Table: longest_absense_from_school
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100]),
(month:INTEGER, Examples: [0, 1, 2])
]
# Table: disabled
[
(name:TEXT, Primary Key, Examples: [student114, student125, student142])
]
# Table: person
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100])
]
# Table: male
[
(name:TEXT, Primary Key, Examples: [student1, student101, student102])
]
# Table: no_payment_due
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100]),
(bool:TEXT, Examples: [neg, pos])
]
# Table: enrolled
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100]),
(school:TEXT, Primary Key, Examples: [occ, smc, ucb]),
(month:INTEGER, Examples: [1, 2, 3])
]
# Table: enlist
[
(name:TEXT, Examples: [student40, student51, student109]),
(organ:TEXT, Examples: [fire_department, air_force, navy])
]
# Table: bool
[
(name:TEXT, Primary Key, Examples: [neg, pos])
]
# Table: filed_for_bankrupcy
[
(name:TEXT, Primary Key, Examples: [student122, student126, student136])
]
【Foreign keys】
unemployed.name=person.name
longest_absense_from_school.name=person.name
disabled.name=person.name
male.name=person.name
no_payment_due.name=person.name
no_payment_due.bool=bool.name
enrolled.name=person.name
enlist.name=person.name
filed_for_bankrupcy.name=person.name

    【Question】
    Please list the departments the students are absent from school for 9 months are in. absent from school for 9 months refers to month = 9

    【Evidence】
    absent from school for 9 months refers to month = 9

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T2.organ FROM longest_absense_from_school AS T1 INNER JOIN enlist AS T2 ON T1.`name` = T2.`name` WHERE T1.`month` = 9
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 student_loan
【Schema】
# Table: unemployed
[
(name:TEXT, Primary Key, Examples: [student1000, student102, student106])
]
# Table: longest_absense_from_school
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100]),
(month:INTEGER, Examples: [0, 1, 2])
]
# Table: disabled
[
(name:TEXT, Primary Key, Examples: [student114, student125, student142])
]
# Table: person
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100])
]
# Table: male
[
(name:TEXT, Primary Key, Examples: [student1, student101, student102])
]
# Table: no_payment_due
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100]),
(bool:TEXT, Examples: [neg, pos])
]
# Table: enrolled
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100]),
(school:TEXT, Primary Key, Examples: [occ, smc, ucb]),
(month:INTEGER, Examples: [1, 2, 3])
]
# Table: enlist
[
(name:TEXT, Examples: [student40, student51, student109]),
(organ:TEXT, Examples: [fire_department, air_force, navy])
]
# Table: bool
[
(name:TEXT, Primary Key, Examples: [neg, pos])
]
# Table: filed_for_bankrupcy
[
(name:TEXT, Primary Key, Examples: [student122, student126, student136])
]
【Foreign keys】
unemployed.name=person.name
longest_absense_from_school.name=person.name
disabled.name=person.name
male.name=person.name
no_payment_due.name=person.name
no_payment_due.bool=bool.name
enrolled.name=person.name
enlist.name=person.name
filed_for_bankrupcy.name=person.name

    【Question】
    Which department has the most disabled students? department refers to organ; most disabled students refers to MAX(disabled.name)

    【Evidence】
    department refers to organ; most disabled students refers to MAX(disabled.name)

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T2.organ, COUNT(T1.name) FROM disabled AS T1 INNER JOIN enlist AS T2 ON T1.`name` = T2.`name` GROUP BY T2.organ ORDER BY COUNT(T1.name) DESC LIMIT 1
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 student_loan
【Schema】
# Table: unemployed
[
(name:TEXT, Primary Key, Examples: [student1000, student102, student106])
]
# Table: longest_absense_from_school
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100]),
(month:INTEGER, Examples: [0, 1, 2])
]
# Table: disabled
[
(name:TEXT, Primary Key, Examples: [student114, student125, student142])
]
# Table: person
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100])
]
# Table: male
[
(name:TEXT, Primary Key, Examples: [student1, student101, student102])
]
# Table: no_payment_due
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100]),
(bool:TEXT, Examples: [neg, pos])
]
# Table: enrolled
[
(name:TEXT, Primary Key, Examples: [student1, student10, student100]),
(school:TEXT, Primary Key, Examples: [occ, smc, ucb]),
(month:INTEGER, Examples: [1, 2, 3])
]
# Table: enlist
[
(name:TEXT, Examples: [student40, student51, student109]),
(organ:TEXT, Examples: [fire_department, air_force, navy])
]
# Table: bool
[
(name:TEXT, Primary Key, Examples: [neg, pos])
]
# Table: filed_for_bankrupcy
[
(name:TEXT, Primary Key, Examples: [student122, student126, student136])
]
【Foreign keys】
unemployed.name=person.name
longest_absense_from_school.name=person.name
disabled.name=person.name
male.name=person.name
no_payment_due.name=person.name
no_payment_due.bool=bool.name
enrolled.name=person.name
enlist.name=person.name
filed_for_bankrupcy.name=person.name

    【Question】
    Please list all the female students that have filed for bankruptcy. females students have filed for bankruptcy refers to name that appeared in both filed_for_bankrupcy and male tables

    【Evidence】
    females students have filed for bankruptcy refers to name that appeared in both filed_for_bankrupcy and male tables

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT name FROM filed_for_bankrupcy WHERE name NOT IN ( SELECT name FROM male )