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】 shooting
【Schema】
# Table: officers
[
(case_number:TEXT, Examples: [44523A, 121982X, 605484T]),
(race:TEXT, Examples: [L, W, B]),
(gender:TEXT, Examples: [M, F]),
(last_name:TEXT, Examples: [Patino, Fillingim, Padilla]),
(first_name:TEXT, Examples: [Michael, Brian, Gilbert]),
(full_name:TEXT, Examples: [Patino, Michael, Fillingim, Brian, Padilla, Gilbert])
]
# Table: incidents
[
(case_number:TEXT, Primary Key, Examples: [031347-2015, 072458-2016, 089985-2016]),
(date:DATE),
(location:TEXT, Examples: [7400 Bonnie View Road]),
(subject_statuses:TEXT, Examples: [Deceased, Shoot and Miss, Injured]),
(subject_weapon:TEXT, Examples: [Vehicle, Shotgun, Handgun]),
(subjects:TEXT, Examples: [Luster, Desmond Dwayne B/M]),
(subject_count:INTEGER, Examples: [1, 2, 0]),
(officers:TEXT, Examples: [Tollerton, Aaron W/M, Cardenas, Steven L/M, Ruben, Fredirick W/M])
]
# Table: subjects
[
(case_number:TEXT, Examples: [44523A, 121982X, 605484T]),
(race:TEXT, Examples: [L, B, W]),
(gender:TEXT, Examples: [M, F]),
(last_name:TEXT, Examples: [Curry, Chavez, Salinas]),
(first_name:TEXT, Examples: [James, Gabriel, Nick]),
(full_name:TEXT, Examples: [Curry, James, Chavez, Gabriel, Salinas, Nick])
]
【Foreign keys】
officers.case_number=incidents.case_number
subjects.case_number=incidents.case_number

    【Question】
    Among the cases dismissed by the grand jury disposition, what percentage of cases is where the subject is injured? dismissed by the grand jury disposition refers to grand_jury_disposition = 'No Bill'; the subject is injured refers to subject_statuses = 'injured'; percentage = divide(count(incidents where subject_statuses = 'injured'), count(incidents)) where grand_jury_disposition = 'No Bill' * 100%

    【Evidence】
    dismissed by the grand jury disposition refers to grand_jury_disposition = 'No Bill'; the subject is injured refers to subject_statuses = 'injured'; percentage = divide(count(incidents where subject_statuses = 'injured'), count(incidents)) where grand_jury_disposition = 'No Bill' * 100%

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

SQL: SELECT CAST(SUM(subject_statuses = 'Injured') AS REAL) * 100 / COUNT(case_number) FROM incidents WHERE grand_jury_disposition = 'No Bill'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 shooting
【Schema】
# Table: officers
[
(case_number:TEXT, Examples: [44523A, 121982X, 605484T]),
(race:TEXT, Examples: [L, W, B]),
(gender:TEXT, Examples: [M, F]),
(last_name:TEXT, Examples: [Patino, Fillingim, Padilla]),
(first_name:TEXT, Examples: [Michael, Brian, Gilbert]),
(full_name:TEXT, Examples: [Patino, Michael, Fillingim, Brian, Padilla, Gilbert])
]
# Table: incidents
[
(case_number:TEXT, Primary Key, Examples: [031347-2015, 072458-2016, 089985-2016]),
(date:DATE),
(location:TEXT, Examples: [7400 Bonnie View Road]),
(subject_statuses:TEXT, Examples: [Deceased, Shoot and Miss, Injured]),
(subject_weapon:TEXT, Examples: [Vehicle, Shotgun, Handgun]),
(subjects:TEXT, Examples: [Luster, Desmond Dwayne B/M]),
(subject_count:INTEGER, Examples: [1, 2, 0]),
(officers:TEXT, Examples: [Tollerton, Aaron W/M, Cardenas, Steven L/M, Ruben, Fredirick W/M])
]
# Table: subjects
[
(case_number:TEXT, Examples: [44523A, 121982X, 605484T]),
(race:TEXT, Examples: [L, B, W]),
(gender:TEXT, Examples: [M, F]),
(last_name:TEXT, Examples: [Curry, Chavez, Salinas]),
(first_name:TEXT, Examples: [James, Gabriel, Nick]),
(full_name:TEXT, Examples: [Curry, James, Chavez, Gabriel, Salinas, Nick])
]
【Foreign keys】
officers.case_number=incidents.case_number
subjects.case_number=incidents.case_number

    【Question】
    Did the number of cases with Vehicle as subject weapon increase or decrease from year 2007 to 2008. State the difference. number of cases refers to count(case_number); with Vehicle as subject weapon refers to subject_weapon = 'Vehicle'; year 2007 refers to date between '2007-01-01' and '2007-12-31'; year 2008 refers to date between '2008-01-01' and '2008-12-31'

    【Evidence】
    number of cases refers to count(case_number); with Vehicle as subject weapon refers to subject_weapon = 'Vehicle'; year 2007 refers to date between '2007-01-01' and '2007-12-31'; year 2008 refers to date between '2008-01-01' and '2008-12-31'

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

SQL: SELECT SUM(IIF(STRFTIME('%Y', date) = '2007', 1, 0)) - SUM(IIF(STRFTIME('%Y', date) = '2008', 1, 0)) FROM incidents WHERE subject_weapon = 'Vehicle'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 shooting
【Schema】
# Table: officers
[
(case_number:TEXT, Examples: [44523A, 121982X, 605484T]),
(race:TEXT, Examples: [L, W, B]),
(gender:TEXT, Examples: [M, F]),
(last_name:TEXT, Examples: [Patino, Fillingim, Padilla]),
(first_name:TEXT, Examples: [Michael, Brian, Gilbert]),
(full_name:TEXT, Examples: [Patino, Michael, Fillingim, Brian, Padilla, Gilbert])
]
# Table: incidents
[
(case_number:TEXT, Primary Key, Examples: [031347-2015, 072458-2016, 089985-2016]),
(date:DATE),
(location:TEXT, Examples: [7400 Bonnie View Road]),
(subject_statuses:TEXT, Examples: [Deceased, Shoot and Miss, Injured]),
(subject_weapon:TEXT, Examples: [Vehicle, Shotgun, Handgun]),
(subjects:TEXT, Examples: [Luster, Desmond Dwayne B/M]),
(subject_count:INTEGER, Examples: [1, 2, 0]),
(officers:TEXT, Examples: [Tollerton, Aaron W/M, Cardenas, Steven L/M, Ruben, Fredirick W/M])
]
# Table: subjects
[
(case_number:TEXT, Examples: [44523A, 121982X, 605484T]),
(race:TEXT, Examples: [L, B, W]),
(gender:TEXT, Examples: [M, F]),
(last_name:TEXT, Examples: [Curry, Chavez, Salinas]),
(first_name:TEXT, Examples: [James, Gabriel, Nick]),
(full_name:TEXT, Examples: [Curry, James, Chavez, Gabriel, Salinas, Nick])
]
【Foreign keys】
officers.case_number=incidents.case_number
subjects.case_number=incidents.case_number

    【Question】
    Among the 'Handgun' weapon used by subject, how many percent were 'Shoot and Miss'? 'Handgun' weapon refers to subject_weapon = 'Handgun'; 'Shoot and Miss' refers to subject_statuses = 'Shoot and Miss'; percent = divide(count(incidents where subject_statuses = 'Shoot and Miss'), count(incidents)) where subject_weapon = 'Handgun' * 100%

    【Evidence】
    'Handgun' weapon refers to subject_weapon = 'Handgun'; 'Shoot and Miss' refers to subject_statuses = 'Shoot and Miss'; percent = divide(count(incidents where subject_statuses = 'Shoot and Miss'), count(incidents)) where subject_weapon = 'Handgun' * 100%

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

SQL: SELECT CAST(SUM(subject_statuses = 'Shoot and Miss') AS REAL) * 100 / COUNT(case_number) FROM incidents WHERE subject_weapon = 'Handgun'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 shooting
【Schema】
# Table: officers
[
(case_number:TEXT, Examples: [44523A, 121982X, 605484T]),
(race:TEXT, Examples: [L, W, B]),
(gender:TEXT, Examples: [M, F]),
(last_name:TEXT, Examples: [Patino, Fillingim, Padilla]),
(first_name:TEXT, Examples: [Michael, Brian, Gilbert]),
(full_name:TEXT, Examples: [Patino, Michael, Fillingim, Brian, Padilla, Gilbert])
]
# Table: incidents
[
(case_number:TEXT, Primary Key, Examples: [031347-2015, 072458-2016, 089985-2016]),
(date:DATE),
(location:TEXT, Examples: [7400 Bonnie View Road]),
(subject_statuses:TEXT, Examples: [Deceased, Shoot and Miss, Injured]),
(subject_weapon:TEXT, Examples: [Vehicle, Shotgun, Handgun]),
(subjects:TEXT, Examples: [Luster, Desmond Dwayne B/M]),
(subject_count:INTEGER, Examples: [1, 2, 0]),
(officers:TEXT, Examples: [Tollerton, Aaron W/M, Cardenas, Steven L/M, Ruben, Fredirick W/M])
]
# Table: subjects
[
(case_number:TEXT, Examples: [44523A, 121982X, 605484T]),
(race:TEXT, Examples: [L, B, W]),
(gender:TEXT, Examples: [M, F]),
(last_name:TEXT, Examples: [Curry, Chavez, Salinas]),
(first_name:TEXT, Examples: [James, Gabriel, Nick]),
(full_name:TEXT, Examples: [Curry, James, Chavez, Gabriel, Salinas, Nick])
]
【Foreign keys】
officers.case_number=incidents.case_number
subjects.case_number=incidents.case_number

    【Question】
    Who are the officers involved in cases that are voted as 'No Bill'. List their last name and gender. voted as 'No Bill' refers to grand_jury_disposition = 'No Bill'

    【Evidence】
    voted as 'No Bill' refers to grand_jury_disposition = 'No Bill'

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

SQL: SELECT T2.last_name, T2.gender FROM incidents AS T1 INNER JOIN officers AS T2 ON T1.case_number = T2.case_number WHERE T1.grand_jury_disposition = 'No Bill'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 shooting
【Schema】
# Table: officers
[
(case_number:TEXT, Examples: [44523A, 121982X, 605484T]),
(race:TEXT, Examples: [L, W, B]),
(gender:TEXT, Examples: [M, F]),
(last_name:TEXT, Examples: [Patino, Fillingim, Padilla]),
(first_name:TEXT, Examples: [Michael, Brian, Gilbert]),
(full_name:TEXT, Examples: [Patino, Michael, Fillingim, Brian, Padilla, Gilbert])
]
# Table: incidents
[
(case_number:TEXT, Primary Key, Examples: [031347-2015, 072458-2016, 089985-2016]),
(date:DATE),
(location:TEXT, Examples: [7400 Bonnie View Road]),
(subject_statuses:TEXT, Examples: [Deceased, Shoot and Miss, Injured]),
(subject_weapon:TEXT, Examples: [Vehicle, Shotgun, Handgun]),
(subjects:TEXT, Examples: [Luster, Desmond Dwayne B/M]),
(subject_count:INTEGER, Examples: [1, 2, 0]),
(officers:TEXT, Examples: [Tollerton, Aaron W/M, Cardenas, Steven L/M, Ruben, Fredirick W/M])
]
# Table: subjects
[
(case_number:TEXT, Examples: [44523A, 121982X, 605484T]),
(race:TEXT, Examples: [L, B, W]),
(gender:TEXT, Examples: [M, F]),
(last_name:TEXT, Examples: [Curry, Chavez, Salinas]),
(first_name:TEXT, Examples: [James, Gabriel, Nick]),
(full_name:TEXT, Examples: [Curry, James, Chavez, Gabriel, Salinas, Nick])
]
【Foreign keys】
officers.case_number=incidents.case_number
subjects.case_number=incidents.case_number

    【Question】
    Which are the cases where the subject are female. List the case number, subject status and weapon. female refers to gender = 'F'; weapon refers to subject_weapon

    【Evidence】
    female refers to gender = 'F'; weapon refers to subject_weapon

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

SQL: SELECT T1.case_number, T1.subject_statuses, T1.subject_weapon FROM incidents AS T1 INNER JOIN subjects AS T2 ON T1.case_number = T2.case_number WHERE T2.gender = 'F'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 shooting
【Schema】
# Table: officers
[
(case_number:TEXT, Examples: [44523A, 121982X, 605484T]),
(race:TEXT, Examples: [L, W, B]),
(gender:TEXT, Examples: [M, F]),
(last_name:TEXT, Examples: [Patino, Fillingim, Padilla]),
(first_name:TEXT, Examples: [Michael, Brian, Gilbert]),
(full_name:TEXT, Examples: [Patino, Michael, Fillingim, Brian, Padilla, Gilbert])
]
# Table: incidents
[
(case_number:TEXT, Primary Key, Examples: [031347-2015, 072458-2016, 089985-2016]),
(date:DATE),
(location:TEXT, Examples: [7400 Bonnie View Road]),
(subject_statuses:TEXT, Examples: [Deceased, Shoot and Miss, Injured]),
(subject_weapon:TEXT, Examples: [Vehicle, Shotgun, Handgun]),
(subjects:TEXT, Examples: [Luster, Desmond Dwayne B/M]),
(subject_count:INTEGER, Examples: [1, 2, 0]),
(officers:TEXT, Examples: [Tollerton, Aaron W/M, Cardenas, Steven L/M, Ruben, Fredirick W/M])
]
# Table: subjects
[
(case_number:TEXT, Examples: [44523A, 121982X, 605484T]),
(race:TEXT, Examples: [L, B, W]),
(gender:TEXT, Examples: [M, F]),
(last_name:TEXT, Examples: [Curry, Chavez, Salinas]),
(first_name:TEXT, Examples: [James, Gabriel, Nick]),
(full_name:TEXT, Examples: [Curry, James, Chavez, Gabriel, Salinas, Nick])
]
【Foreign keys】
officers.case_number=incidents.case_number
subjects.case_number=incidents.case_number

    【Question】
    From the cases where the subject are male, list the case number and the location and subject status. male refers to gender = 'M'

    【Evidence】
    male refers to gender = 'M'

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

SQL: SELECT T1.case_number, T1.location, T1.subject_statuses FROM incidents AS T1 INNER JOIN subjects AS T2 ON T1.case_number = T2.case_number WHERE T2.gender = 'M'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 shooting
【Schema】
# Table: officers
[
(case_number:TEXT, Examples: [44523A, 121982X, 605484T]),
(race:TEXT, Examples: [L, W, B]),
(gender:TEXT, Examples: [M, F]),
(last_name:TEXT, Examples: [Patino, Fillingim, Padilla]),
(first_name:TEXT, Examples: [Michael, Brian, Gilbert]),
(full_name:TEXT, Examples: [Patino, Michael, Fillingim, Brian, Padilla, Gilbert])
]
# Table: incidents
[
(case_number:TEXT, Primary Key, Examples: [031347-2015, 072458-2016, 089985-2016]),
(date:DATE),
(location:TEXT, Examples: [7400 Bonnie View Road]),
(subject_statuses:TEXT, Examples: [Deceased, Shoot and Miss, Injured]),
(subject_weapon:TEXT, Examples: [Vehicle, Shotgun, Handgun]),
(subjects:TEXT, Examples: [Luster, Desmond Dwayne B/M]),
(subject_count:INTEGER, Examples: [1, 2, 0]),
(officers:TEXT, Examples: [Tollerton, Aaron W/M, Cardenas, Steven L/M, Ruben, Fredirick W/M])
]
# Table: subjects
[
(case_number:TEXT, Examples: [44523A, 121982X, 605484T]),
(race:TEXT, Examples: [L, B, W]),
(gender:TEXT, Examples: [M, F]),
(last_name:TEXT, Examples: [Curry, Chavez, Salinas]),
(first_name:TEXT, Examples: [James, Gabriel, Nick]),
(full_name:TEXT, Examples: [Curry, James, Chavez, Gabriel, Salinas, Nick])
]
【Foreign keys】
officers.case_number=incidents.case_number
subjects.case_number=incidents.case_number

    【Question】
    For case(s) where officer 'Evenden, George' is in charged, state the case number and the grand jury disposition? officer 'Evenden, George' refers to full_name = 'Evenden, George'

    【Evidence】
    officer 'Evenden, George' refers to full_name = 'Evenden, George'

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

SQL: SELECT T1.case_number, T1.grand_jury_disposition FROM incidents AS T1 INNER JOIN officers AS T2 ON T1.case_number = T2.case_number WHERE T2.first_name = 'George' AND T2.last_name = 'Evenden'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 shooting
【Schema】
# Table: officers
[
(case_number:TEXT, Examples: [44523A, 121982X, 605484T]),
(race:TEXT, Examples: [L, W, B]),
(gender:TEXT, Examples: [M, F]),
(last_name:TEXT, Examples: [Patino, Fillingim, Padilla]),
(first_name:TEXT, Examples: [Michael, Brian, Gilbert]),
(full_name:TEXT, Examples: [Patino, Michael, Fillingim, Brian, Padilla, Gilbert])
]
# Table: incidents
[
(case_number:TEXT, Primary Key, Examples: [031347-2015, 072458-2016, 089985-2016]),
(date:DATE),
(location:TEXT, Examples: [7400 Bonnie View Road]),
(subject_statuses:TEXT, Examples: [Deceased, Shoot and Miss, Injured]),
(subject_weapon:TEXT, Examples: [Vehicle, Shotgun, Handgun]),
(subjects:TEXT, Examples: [Luster, Desmond Dwayne B/M]),
(subject_count:INTEGER, Examples: [1, 2, 0]),
(officers:TEXT, Examples: [Tollerton, Aaron W/M, Cardenas, Steven L/M, Ruben, Fredirick W/M])
]
# Table: subjects
[
(case_number:TEXT, Examples: [44523A, 121982X, 605484T]),
(race:TEXT, Examples: [L, B, W]),
(gender:TEXT, Examples: [M, F]),
(last_name:TEXT, Examples: [Curry, Chavez, Salinas]),
(first_name:TEXT, Examples: [James, Gabriel, Nick]),
(full_name:TEXT, Examples: [Curry, James, Chavez, Gabriel, Salinas, Nick])
]
【Foreign keys】
officers.case_number=incidents.case_number
subjects.case_number=incidents.case_number

    【Question】
    For case number '134472-2015', list the last name of the officers involved and state the subject statuses.

    【Evidence】
    

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

SQL: SELECT T2.last_name, T1.subject_statuses FROM incidents AS T1 INNER JOIN officers AS T2 ON T1.case_number = T2.case_number WHERE T1.case_number = '134472-2015'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 shooting
【Schema】
# Table: officers
[
(case_number:TEXT, Examples: [44523A, 121982X, 605484T]),
(race:TEXT, Examples: [L, W, B]),
(gender:TEXT, Examples: [M, F]),
(last_name:TEXT, Examples: [Patino, Fillingim, Padilla]),
(first_name:TEXT, Examples: [Michael, Brian, Gilbert]),
(full_name:TEXT, Examples: [Patino, Michael, Fillingim, Brian, Padilla, Gilbert])
]
# Table: incidents
[
(case_number:TEXT, Primary Key, Examples: [031347-2015, 072458-2016, 089985-2016]),
(date:DATE),
(location:TEXT, Examples: [7400 Bonnie View Road]),
(subject_statuses:TEXT, Examples: [Deceased, Shoot and Miss, Injured]),
(subject_weapon:TEXT, Examples: [Vehicle, Shotgun, Handgun]),
(subjects:TEXT, Examples: [Luster, Desmond Dwayne B/M]),
(subject_count:INTEGER, Examples: [1, 2, 0]),
(officers:TEXT, Examples: [Tollerton, Aaron W/M, Cardenas, Steven L/M, Ruben, Fredirick W/M])
]
# Table: subjects
[
(case_number:TEXT, Examples: [44523A, 121982X, 605484T]),
(race:TEXT, Examples: [L, B, W]),
(gender:TEXT, Examples: [M, F]),
(last_name:TEXT, Examples: [Curry, Chavez, Salinas]),
(first_name:TEXT, Examples: [James, Gabriel, Nick]),
(full_name:TEXT, Examples: [Curry, James, Chavez, Gabriel, Salinas, Nick])
]
【Foreign keys】
officers.case_number=incidents.case_number
subjects.case_number=incidents.case_number

    【Question】
    From the cases where the subject were deceased, list the subject's last name, gender, race and case number. subject were deceased refers to subject_statuses = 'Deceased'

    【Evidence】
    subject were deceased refers to subject_statuses = 'Deceased'

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

SQL: SELECT T2.last_name, T2.gender, T2.race, T2.case_number FROM incidents AS T1 INNER JOIN subjects AS T2 ON T1.case_number = T2.case_number WHERE T1.subject_statuses = 'Deceased'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 shooting
【Schema】
# Table: officers
[
(case_number:TEXT, Examples: [44523A, 121982X, 605484T]),
(race:TEXT, Examples: [L, W, B]),
(gender:TEXT, Examples: [M, F]),
(last_name:TEXT, Examples: [Patino, Fillingim, Padilla]),
(first_name:TEXT, Examples: [Michael, Brian, Gilbert]),
(full_name:TEXT, Examples: [Patino, Michael, Fillingim, Brian, Padilla, Gilbert])
]
# Table: incidents
[
(case_number:TEXT, Primary Key, Examples: [031347-2015, 072458-2016, 089985-2016]),
(date:DATE),
(location:TEXT, Examples: [7400 Bonnie View Road]),
(subject_statuses:TEXT, Examples: [Deceased, Shoot and Miss, Injured]),
(subject_weapon:TEXT, Examples: [Vehicle, Shotgun, Handgun]),
(subjects:TEXT, Examples: [Luster, Desmond Dwayne B/M]),
(subject_count:INTEGER, Examples: [1, 2, 0]),
(officers:TEXT, Examples: [Tollerton, Aaron W/M, Cardenas, Steven L/M, Ruben, Fredirick W/M])
]
# Table: subjects
[
(case_number:TEXT, Examples: [44523A, 121982X, 605484T]),
(race:TEXT, Examples: [L, B, W]),
(gender:TEXT, Examples: [M, F]),
(last_name:TEXT, Examples: [Curry, Chavez, Salinas]),
(first_name:TEXT, Examples: [James, Gabriel, Nick]),
(full_name:TEXT, Examples: [Curry, James, Chavez, Gabriel, Salinas, Nick])
]
【Foreign keys】
officers.case_number=incidents.case_number
subjects.case_number=incidents.case_number

    【Question】
    What is the percentage of subject who are female used the Vehicle as weapon? female refers to gender = 'F'; use Vehicle as weapon refers to subject_weapon = 'Vehicle'; percentage = divide(count(case_number where subject_weapon = 'Vehicle'), count(case_number)) where gender = 'F' * 100%

    【Evidence】
    female refers to gender = 'F'; use Vehicle as weapon refers to subject_weapon = 'Vehicle'; percentage = divide(count(case_number where subject_weapon = 'Vehicle'), count(case_number)) where gender = 'F' * 100%

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

SQL: SELECT CAST(SUM(T1.subject_weapon = 'Vehicle') AS REAL) * 100 / COUNT(T1.case_number) FROM incidents T1 INNER JOIN subjects T2 ON T1.case_number = T2.case_number WHERE T2.gender = 'F'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 shooting
【Schema】
# Table: officers
[
(case_number:TEXT, Examples: [44523A, 121982X, 605484T]),
(race:TEXT, Examples: [L, W, B]),
(gender:TEXT, Examples: [M, F]),
(last_name:TEXT, Examples: [Patino, Fillingim, Padilla]),
(first_name:TEXT, Examples: [Michael, Brian, Gilbert]),
(full_name:TEXT, Examples: [Patino, Michael, Fillingim, Brian, Padilla, Gilbert])
]
# Table: incidents
[
(case_number:TEXT, Primary Key, Examples: [031347-2015, 072458-2016, 089985-2016]),
(date:DATE),
(location:TEXT, Examples: [7400 Bonnie View Road]),
(subject_statuses:TEXT, Examples: [Deceased, Shoot and Miss, Injured]),
(subject_weapon:TEXT, Examples: [Vehicle, Shotgun, Handgun]),
(subjects:TEXT, Examples: [Luster, Desmond Dwayne B/M]),
(subject_count:INTEGER, Examples: [1, 2, 0]),
(officers:TEXT, Examples: [Tollerton, Aaron W/M, Cardenas, Steven L/M, Ruben, Fredirick W/M])
]
# Table: subjects
[
(case_number:TEXT, Examples: [44523A, 121982X, 605484T]),
(race:TEXT, Examples: [L, B, W]),
(gender:TEXT, Examples: [M, F]),
(last_name:TEXT, Examples: [Curry, Chavez, Salinas]),
(first_name:TEXT, Examples: [James, Gabriel, Nick]),
(full_name:TEXT, Examples: [Curry, James, Chavez, Gabriel, Salinas, Nick])
]
【Foreign keys】
officers.case_number=incidents.case_number
subjects.case_number=incidents.case_number

    【Question】
    From the 'Injured' statuses of the subject, what is the ratio of weapons used are knife against handgun? the 'Shoot and Miss' status refers to subject_statuses = 'Shoot and Miss'; knife refers to subject_weapon = 'knife'; toy handgun refers to subject_weapon = 'toy handgun'; ratio = divide(count(case_number where subject_weapon = 'knife'), count(case_number where subject_weapon = 'toy handgun')) where subject_statuses = 'Shoot and Miss'

    【Evidence】
    the 'Shoot and Miss' status refers to subject_statuses = 'Shoot and Miss'; knife refers to subject_weapon = 'knife'; toy handgun refers to subject_weapon = 'toy handgun'; ratio = divide(count(case_number where subject_weapon = 'knife'), count(case_number where subject_weapon = 'toy handgun')) where subject_statuses = 'Shoot and Miss'

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

SQL: SELECT CAST(SUM(T1.subject_weapon = 'Knife') AS REAL) * 100 / SUM(T1.subject_weapon = 'Handgun') FROM incidents AS T1 INNER JOIN subjects AS T2 ON T1.case_number = T2.case_number WHERE T1.subject_statuses = 'Injured'