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】 social_media
【Schema】
# Table: user
[
(UserID:TEXT, Primary Key, Examples: [nknow531394, tw-10000632, tw-100012605]),
(Gender:TEXT, Examples: [Unknown, Male, Unisex])
]
# Table: twitter
[
(TweetID:TEXT, Primary Key, Examples: [tw-682712873332805633]),
(Weekday:TEXT, Examples: [Thursday, Friday, Saturday]),
(Hour:INTEGER, Examples: [17, 18, 19]),
(Day:INTEGER, Examples: [31, 1, 2]),
(Lang:TEXT, Examples: [en, _u, es]),
(IsReshare:TEXT, Examples: [FALSE, TRUE]),
(Reach:INTEGER, Examples: [44, 1810, 282]),
(RetweetCount:INTEGER, Examples: [0, 5, 4]),
(Likes:INTEGER, Examples: [0, 131, 40]),
(Klout:INTEGER, Examples: [35, 53, 47]),
(Sentiment:REAL, Examples: [0.0, 2.0, -1.0]),
(text:TEXT),
(LocationID:INTEGER, Examples: [3751, 3989, 3741]),
(UserID:TEXT, Examples: [tw-40932430, tw-3179389829, tw-4624808414])
]
# Table: location
[
(LocationID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Country:TEXT, Examples: [Albania, Algeria, Andorra]),
(State:TEXT, Examples: [Elbasan, Tirane, Souk Ahras]),
(StateCode:TEXT, Examples: [AL, DZ, AD]),
(City:TEXT, Examples: [Elbasan, Tirana, Souk Ahras])
]
【Foreign keys】
twitter.LocationID=location.LocationID
twitter.UserID=user.UserID

    【Question】
    Please list all the cities from where tweets with neutral sentiments were posted. neutral sentiment refers to Sentiment = 0

    【Evidence】
    neutral sentiment refers to Sentiment = 0

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

SQL: SELECT DISTINCT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE Sentiment = 0
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 social_media
【Schema】
# Table: user
[
(UserID:TEXT, Primary Key, Examples: [nknow531394, tw-10000632, tw-100012605]),
(Gender:TEXT, Examples: [Unknown, Male, Unisex])
]
# Table: twitter
[
(TweetID:TEXT, Primary Key, Examples: [tw-682712873332805633]),
(Weekday:TEXT, Examples: [Thursday, Friday, Saturday]),
(Hour:INTEGER, Examples: [17, 18, 19]),
(Day:INTEGER, Examples: [31, 1, 2]),
(Lang:TEXT, Examples: [en, _u, es]),
(IsReshare:TEXT, Examples: [FALSE, TRUE]),
(Reach:INTEGER, Examples: [44, 1810, 282]),
(RetweetCount:INTEGER, Examples: [0, 5, 4]),
(Likes:INTEGER, Examples: [0, 131, 40]),
(Klout:INTEGER, Examples: [35, 53, 47]),
(Sentiment:REAL, Examples: [0.0, 2.0, -1.0]),
(text:TEXT),
(LocationID:INTEGER, Examples: [3751, 3989, 3741]),
(UserID:TEXT, Examples: [tw-40932430, tw-3179389829, tw-4624808414])
]
# Table: location
[
(LocationID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Country:TEXT, Examples: [Albania, Algeria, Andorra]),
(State:TEXT, Examples: [Elbasan, Tirane, Souk Ahras]),
(StateCode:TEXT, Examples: [AL, DZ, AD]),
(City:TEXT, Examples: [Elbasan, Tirana, Souk Ahras])
]
【Foreign keys】
twitter.LocationID=location.LocationID
twitter.UserID=user.UserID

    【Question】
    Among all the tweets sent by male users in Argentina, what is the text of the one with the most number of likes? male user refers to Gender = 'Male'; 'Argentina' is the Country; most number of likes refers to Max(Likes)

    【Evidence】
    male user refers to Gender = 'Male'; 'Argentina' is the Country; most number of likes refers to Max(Likes)

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

SQL: SELECT T2.text FROM user AS T1 INNER JOIN twitter AS T2 ON T1.UserID = T2.UserID INNER JOIN location AS T3 ON T2.LocationID = T3.LocationID WHERE T3.Country = 'Argentina' AND T1.Gender = 'Male' ORDER BY T2.Likes DESC LIMIT 1
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 social_media
【Schema】
# Table: user
[
(UserID:TEXT, Primary Key, Examples: [nknow531394, tw-10000632, tw-100012605]),
(Gender:TEXT, Examples: [Unknown, Male, Unisex])
]
# Table: twitter
[
(TweetID:TEXT, Primary Key, Examples: [tw-682712873332805633]),
(Weekday:TEXT, Examples: [Thursday, Friday, Saturday]),
(Hour:INTEGER, Examples: [17, 18, 19]),
(Day:INTEGER, Examples: [31, 1, 2]),
(Lang:TEXT, Examples: [en, _u, es]),
(IsReshare:TEXT, Examples: [FALSE, TRUE]),
(Reach:INTEGER, Examples: [44, 1810, 282]),
(RetweetCount:INTEGER, Examples: [0, 5, 4]),
(Likes:INTEGER, Examples: [0, 131, 40]),
(Klout:INTEGER, Examples: [35, 53, 47]),
(Sentiment:REAL, Examples: [0.0, 2.0, -1.0]),
(text:TEXT),
(LocationID:INTEGER, Examples: [3751, 3989, 3741]),
(UserID:TEXT, Examples: [tw-40932430, tw-3179389829, tw-4624808414])
]
# Table: location
[
(LocationID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Country:TEXT, Examples: [Albania, Algeria, Andorra]),
(State:TEXT, Examples: [Elbasan, Tirane, Souk Ahras]),
(StateCode:TEXT, Examples: [AL, DZ, AD]),
(City:TEXT, Examples: [Elbasan, Tirana, Souk Ahras])
]
【Foreign keys】
twitter.LocationID=location.LocationID
twitter.UserID=user.UserID

    【Question】
    What is the average number of likes for a tweet posted by a male user on Mondays? male user refers to Gender = 'Male'; 'Monday' is the Weekday; average number of likes = Divide (Sum(Likes), Count(TweetID))

    【Evidence】
    male user refers to Gender = 'Male'; 'Monday' is the Weekday; average number of likes = Divide (Sum(Likes), Count(TweetID))

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

SQL: SELECT SUM(T1.Likes) / COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male' AND T1.Weekday = 'Monday'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 social_media
【Schema】
# Table: user
[
(UserID:TEXT, Primary Key, Examples: [nknow531394, tw-10000632, tw-100012605]),
(Gender:TEXT, Examples: [Unknown, Male, Unisex])
]
# Table: twitter
[
(TweetID:TEXT, Primary Key, Examples: [tw-682712873332805633]),
(Weekday:TEXT, Examples: [Thursday, Friday, Saturday]),
(Hour:INTEGER, Examples: [17, 18, 19]),
(Day:INTEGER, Examples: [31, 1, 2]),
(Lang:TEXT, Examples: [en, _u, es]),
(IsReshare:TEXT, Examples: [FALSE, TRUE]),
(Reach:INTEGER, Examples: [44, 1810, 282]),
(RetweetCount:INTEGER, Examples: [0, 5, 4]),
(Likes:INTEGER, Examples: [0, 131, 40]),
(Klout:INTEGER, Examples: [35, 53, 47]),
(Sentiment:REAL, Examples: [0.0, 2.0, -1.0]),
(text:TEXT),
(LocationID:INTEGER, Examples: [3751, 3989, 3741]),
(UserID:TEXT, Examples: [tw-40932430, tw-3179389829, tw-4624808414])
]
# Table: location
[
(LocationID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Country:TEXT, Examples: [Albania, Algeria, Andorra]),
(State:TEXT, Examples: [Elbasan, Tirane, Souk Ahras]),
(StateCode:TEXT, Examples: [AL, DZ, AD]),
(City:TEXT, Examples: [Elbasan, Tirana, Souk Ahras])
]
【Foreign keys】
twitter.LocationID=location.LocationID
twitter.UserID=user.UserID

    【Question】
    Tweets posted from which city has a higher number of average likes, Bangkok or Chiang Mai? "Bangkok" and "Chiang Mai" are both City; average number of like = Divide (Sum(Likes), Count(TweetID))

    【Evidence】
    "Bangkok" and "Chiang Mai" are both City; average number of like = Divide (Sum(Likes), Count(TweetID))

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

SQL: SELECT SUM(CASE WHEN T2.City = 'Bangkok' THEN Likes ELSE NULL END) / COUNT(CASE WHEN T2.City = 'Bangkok' THEN 1 ELSE 0 END) AS bNum , SUM(CASE WHEN City = 'Chiang Mai' THEN Likes ELSE NULL END) / COUNT(CASE WHEN City = 'Chiang Mai' THEN TweetID ELSE NULL END) AS cNum FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.City IN ('Bangkok', 'Chiang Mai')
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 cs_semester
【Schema】
# Table: student
[
(student_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(f_name:TEXT, Examples: [Kerry, Chrysa, Elsy]),
(l_name:TEXT, Examples: [Pryor, Dine-Hart, Shiril]),
(phone_number:TEXT, Examples: [(243) 6836472, (672) 9245255, (521) 7680522]),
(email:TEXT),
(intelligence:INTEGER, Examples: [5, 2, 1]),
(gpa:REAL, Examples: [2.4, 2.7, 3.5]),
(type:TEXT, Examples: [RPG, TPG, UG])
]
# Table: prof
[
(prof_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(gender:TEXT, Examples: [Male, Female]),
(first_name:TEXT, Examples: [Nathaniel, Zhihua, Ogdon]),
(last_name:TEXT, Examples: [Pigford, Zhou, Zywicki]),
(email:TEXT),
(popularity:INTEGER, Examples: [3, 2]),
(teachingability:INTEGER, Examples: [5, 1, 2]),
(graduate_from:TEXT, Examples: [University of Washington])
]
# Table: registration
[
(course_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(student_id:INTEGER, Primary Key, Examples: [2, 3, 4]),
(grade:TEXT, Examples: [A, B, C]),
(sat:INTEGER, Examples: [5, 4, 3])
]
# Table: course
[
(course_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [Machine Learning Theory]),
(credit:INTEGER, Examples: [3, 2]),
(diff:INTEGER, Examples: [3, 4, 1])
]
# Table: RA
[
(student_id:INTEGER, Primary Key, Examples: [2, 5, 6]),
(capability:INTEGER, Examples: [2, 5, 4]),
(prof_id:INTEGER, Primary Key, Examples: [7, 10, 13]),
(salary:TEXT, Examples: [med, high, low])
]
【Foreign keys】
registration.course_id=course.course_id
registration.student_id=student.student_id
RA.prof_id=prof.prof_id
RA.student_id=student.student_id

    【Question】
    Which course is more difficult, Intro to BlockChain or Computer Network? diff refers to difficulty; diff is higher means the course is more difficult;

    【Evidence】
    diff refers to difficulty; diff is higher means the course is more difficult;

    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 course WHERE name = 'Intro to BlockChain' OR name = 'Computer Network' ORDER BY diff DESC LIMIT 1
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 cs_semester
【Schema】
# Table: student
[
(student_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(f_name:TEXT, Examples: [Kerry, Chrysa, Elsy]),
(l_name:TEXT, Examples: [Pryor, Dine-Hart, Shiril]),
(phone_number:TEXT, Examples: [(243) 6836472, (672) 9245255, (521) 7680522]),
(email:TEXT),
(intelligence:INTEGER, Examples: [5, 2, 1]),
(gpa:REAL, Examples: [2.4, 2.7, 3.5]),
(type:TEXT, Examples: [RPG, TPG, UG])
]
# Table: prof
[
(prof_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(gender:TEXT, Examples: [Male, Female]),
(first_name:TEXT, Examples: [Nathaniel, Zhihua, Ogdon]),
(last_name:TEXT, Examples: [Pigford, Zhou, Zywicki]),
(email:TEXT),
(popularity:INTEGER, Examples: [3, 2]),
(teachingability:INTEGER, Examples: [5, 1, 2]),
(graduate_from:TEXT, Examples: [University of Washington])
]
# Table: registration
[
(course_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(student_id:INTEGER, Primary Key, Examples: [2, 3, 4]),
(grade:TEXT, Examples: [A, B, C]),
(sat:INTEGER, Examples: [5, 4, 3])
]
# Table: course
[
(course_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [Machine Learning Theory]),
(credit:INTEGER, Examples: [3, 2]),
(diff:INTEGER, Examples: [3, 4, 1])
]
# Table: RA
[
(student_id:INTEGER, Primary Key, Examples: [2, 5, 6]),
(capability:INTEGER, Examples: [2, 5, 4]),
(prof_id:INTEGER, Primary Key, Examples: [7, 10, 13]),
(salary:TEXT, Examples: [med, high, low])
]
【Foreign keys】
registration.course_id=course.course_id
registration.student_id=student.student_id
RA.prof_id=prof.prof_id
RA.student_id=student.student_id

    【Question】
    Please list the names of the courses that are less important than Machine Learning Theory. lower credit means less important;

    【Evidence】
    lower credit means less important;

    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 course WHERE credit < ( SELECT credit FROM course WHERE name = 'Machine Learning Theory' )
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 cs_semester
【Schema】
# Table: student
[
(student_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(f_name:TEXT, Examples: [Kerry, Chrysa, Elsy]),
(l_name:TEXT, Examples: [Pryor, Dine-Hart, Shiril]),
(phone_number:TEXT, Examples: [(243) 6836472, (672) 9245255, (521) 7680522]),
(email:TEXT),
(intelligence:INTEGER, Examples: [5, 2, 1]),
(gpa:REAL, Examples: [2.4, 2.7, 3.5]),
(type:TEXT, Examples: [RPG, TPG, UG])
]
# Table: prof
[
(prof_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(gender:TEXT, Examples: [Male, Female]),
(first_name:TEXT, Examples: [Nathaniel, Zhihua, Ogdon]),
(last_name:TEXT, Examples: [Pigford, Zhou, Zywicki]),
(email:TEXT),
(popularity:INTEGER, Examples: [3, 2]),
(teachingability:INTEGER, Examples: [5, 1, 2]),
(graduate_from:TEXT, Examples: [University of Washington])
]
# Table: registration
[
(course_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(student_id:INTEGER, Primary Key, Examples: [2, 3, 4]),
(grade:TEXT, Examples: [A, B, C]),
(sat:INTEGER, Examples: [5, 4, 3])
]
# Table: course
[
(course_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [Machine Learning Theory]),
(credit:INTEGER, Examples: [3, 2]),
(diff:INTEGER, Examples: [3, 4, 1])
]
# Table: RA
[
(student_id:INTEGER, Primary Key, Examples: [2, 5, 6]),
(capability:INTEGER, Examples: [2, 5, 4]),
(prof_id:INTEGER, Primary Key, Examples: [7, 10, 13]),
(salary:TEXT, Examples: [med, high, low])
]
【Foreign keys】
registration.course_id=course.course_id
registration.student_id=student.student_id
RA.prof_id=prof.prof_id
RA.student_id=student.student_id

    【Question】
    How many professors are more popular than Zhou Zhihua? higher popularity means the professor is more popular;

    【Evidence】
    higher popularity means the professor is more popular;

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

SQL: SELECT COUNT(prof_id) FROM prof WHERE popularity > ( SELECT popularity FROM prof WHERE first_name = 'Zhihua' AND last_name = 'Zhou' )
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 cs_semester
【Schema】
# Table: student
[
(student_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(f_name:TEXT, Examples: [Kerry, Chrysa, Elsy]),
(l_name:TEXT, Examples: [Pryor, Dine-Hart, Shiril]),
(phone_number:TEXT, Examples: [(243) 6836472, (672) 9245255, (521) 7680522]),
(email:TEXT),
(intelligence:INTEGER, Examples: [5, 2, 1]),
(gpa:REAL, Examples: [2.4, 2.7, 3.5]),
(type:TEXT, Examples: [RPG, TPG, UG])
]
# Table: prof
[
(prof_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(gender:TEXT, Examples: [Male, Female]),
(first_name:TEXT, Examples: [Nathaniel, Zhihua, Ogdon]),
(last_name:TEXT, Examples: [Pigford, Zhou, Zywicki]),
(email:TEXT),
(popularity:INTEGER, Examples: [3, 2]),
(teachingability:INTEGER, Examples: [5, 1, 2]),
(graduate_from:TEXT, Examples: [University of Washington])
]
# Table: registration
[
(course_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(student_id:INTEGER, Primary Key, Examples: [2, 3, 4]),
(grade:TEXT, Examples: [A, B, C]),
(sat:INTEGER, Examples: [5, 4, 3])
]
# Table: course
[
(course_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [Machine Learning Theory]),
(credit:INTEGER, Examples: [3, 2]),
(diff:INTEGER, Examples: [3, 4, 1])
]
# Table: RA
[
(student_id:INTEGER, Primary Key, Examples: [2, 5, 6]),
(capability:INTEGER, Examples: [2, 5, 4]),
(prof_id:INTEGER, Primary Key, Examples: [7, 10, 13]),
(salary:TEXT, Examples: [med, high, low])
]
【Foreign keys】
registration.course_id=course.course_id
registration.student_id=student.student_id
RA.prof_id=prof.prof_id
RA.student_id=student.student_id

    【Question】
    What is the phone number of Kerry Pryor?

    【Evidence】
    

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

SQL: SELECT phone_number FROM student WHERE l_name = 'Pryor' AND f_name = 'Kerry'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 cs_semester
【Schema】
# Table: student
[
(student_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(f_name:TEXT, Examples: [Kerry, Chrysa, Elsy]),
(l_name:TEXT, Examples: [Pryor, Dine-Hart, Shiril]),
(phone_number:TEXT, Examples: [(243) 6836472, (672) 9245255, (521) 7680522]),
(email:TEXT),
(intelligence:INTEGER, Examples: [5, 2, 1]),
(gpa:REAL, Examples: [2.4, 2.7, 3.5]),
(type:TEXT, Examples: [RPG, TPG, UG])
]
# Table: prof
[
(prof_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(gender:TEXT, Examples: [Male, Female]),
(first_name:TEXT, Examples: [Nathaniel, Zhihua, Ogdon]),
(last_name:TEXT, Examples: [Pigford, Zhou, Zywicki]),
(email:TEXT),
(popularity:INTEGER, Examples: [3, 2]),
(teachingability:INTEGER, Examples: [5, 1, 2]),
(graduate_from:TEXT, Examples: [University of Washington])
]
# Table: registration
[
(course_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(student_id:INTEGER, Primary Key, Examples: [2, 3, 4]),
(grade:TEXT, Examples: [A, B, C]),
(sat:INTEGER, Examples: [5, 4, 3])
]
# Table: course
[
(course_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [Machine Learning Theory]),
(credit:INTEGER, Examples: [3, 2]),
(diff:INTEGER, Examples: [3, 4, 1])
]
# Table: RA
[
(student_id:INTEGER, Primary Key, Examples: [2, 5, 6]),
(capability:INTEGER, Examples: [2, 5, 4]),
(prof_id:INTEGER, Primary Key, Examples: [7, 10, 13]),
(salary:TEXT, Examples: [med, high, low])
]
【Foreign keys】
registration.course_id=course.course_id
registration.student_id=student.student_id
RA.prof_id=prof.prof_id
RA.student_id=student.student_id

    【Question】
    Which professor advised Faina Mallinar to become a research assistant? Please give his or her full name. research assistant refers to the student who serves for research where the abbreviation is RA; full name refers to f_name and l_name;

    【Evidence】
    research assistant refers to the student who serves for research where the abbreviation is RA; full name refers to f_name and l_name;

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

SQL: SELECT T1.first_name, T1.last_name FROM prof AS T1 INNER JOIN RA AS T2 ON T1.prof_id = T2.prof_id INNER JOIN student AS T3 ON T2.student_id = T3.student_id WHERE T3.f_name = 'Faina' AND T3.l_name = 'Mallinar'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 cs_semester
【Schema】
# Table: student
[
(student_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(f_name:TEXT, Examples: [Kerry, Chrysa, Elsy]),
(l_name:TEXT, Examples: [Pryor, Dine-Hart, Shiril]),
(phone_number:TEXT, Examples: [(243) 6836472, (672) 9245255, (521) 7680522]),
(email:TEXT),
(intelligence:INTEGER, Examples: [5, 2, 1]),
(gpa:REAL, Examples: [2.4, 2.7, 3.5]),
(type:TEXT, Examples: [RPG, TPG, UG])
]
# Table: prof
[
(prof_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(gender:TEXT, Examples: [Male, Female]),
(first_name:TEXT, Examples: [Nathaniel, Zhihua, Ogdon]),
(last_name:TEXT, Examples: [Pigford, Zhou, Zywicki]),
(email:TEXT),
(popularity:INTEGER, Examples: [3, 2]),
(teachingability:INTEGER, Examples: [5, 1, 2]),
(graduate_from:TEXT, Examples: [University of Washington])
]
# Table: registration
[
(course_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(student_id:INTEGER, Primary Key, Examples: [2, 3, 4]),
(grade:TEXT, Examples: [A, B, C]),
(sat:INTEGER, Examples: [5, 4, 3])
]
# Table: course
[
(course_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [Machine Learning Theory]),
(credit:INTEGER, Examples: [3, 2]),
(diff:INTEGER, Examples: [3, 4, 1])
]
# Table: RA
[
(student_id:INTEGER, Primary Key, Examples: [2, 5, 6]),
(capability:INTEGER, Examples: [2, 5, 4]),
(prof_id:INTEGER, Primary Key, Examples: [7, 10, 13]),
(salary:TEXT, Examples: [med, high, low])
]
【Foreign keys】
registration.course_id=course.course_id
registration.student_id=student.student_id
RA.prof_id=prof.prof_id
RA.student_id=student.student_id

    【Question】
    How many research assistants does Sauveur Skyme have? research assistant refers to the student who serves for research where the abbreviation is RA;

    【Evidence】
    research assistant refers to the student who serves for research where the abbreviation is RA;

    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.student_id) FROM RA AS T1 INNER JOIN prof AS T2 ON T1.prof_id = T2.prof_id WHERE T2.first_name = 'Sauveur' AND T2.last_name = 'Skyme'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 cs_semester
【Schema】
# Table: student
[
(student_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(f_name:TEXT, Examples: [Kerry, Chrysa, Elsy]),
(l_name:TEXT, Examples: [Pryor, Dine-Hart, Shiril]),
(phone_number:TEXT, Examples: [(243) 6836472, (672) 9245255, (521) 7680522]),
(email:TEXT),
(intelligence:INTEGER, Examples: [5, 2, 1]),
(gpa:REAL, Examples: [2.4, 2.7, 3.5]),
(type:TEXT, Examples: [RPG, TPG, UG])
]
# Table: prof
[
(prof_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(gender:TEXT, Examples: [Male, Female]),
(first_name:TEXT, Examples: [Nathaniel, Zhihua, Ogdon]),
(last_name:TEXT, Examples: [Pigford, Zhou, Zywicki]),
(email:TEXT),
(popularity:INTEGER, Examples: [3, 2]),
(teachingability:INTEGER, Examples: [5, 1, 2]),
(graduate_from:TEXT, Examples: [University of Washington])
]
# Table: registration
[
(course_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(student_id:INTEGER, Primary Key, Examples: [2, 3, 4]),
(grade:TEXT, Examples: [A, B, C]),
(sat:INTEGER, Examples: [5, 4, 3])
]
# Table: course
[
(course_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [Machine Learning Theory]),
(credit:INTEGER, Examples: [3, 2]),
(diff:INTEGER, Examples: [3, 4, 1])
]
# Table: RA
[
(student_id:INTEGER, Primary Key, Examples: [2, 5, 6]),
(capability:INTEGER, Examples: [2, 5, 4]),
(prof_id:INTEGER, Primary Key, Examples: [7, 10, 13]),
(salary:TEXT, Examples: [med, high, low])
]
【Foreign keys】
registration.course_id=course.course_id
registration.student_id=student.student_id
RA.prof_id=prof.prof_id
RA.student_id=student.student_id

    【Question】
    Please list the full names of all the students who are research assistants with the highest research capability. research assistant refers to the student who serves for research where the abbreviation is RA; the highest research capability refers to capability = 5; full name refers to f_name and l_name;

    【Evidence】
    research assistant refers to the student who serves for research where the abbreviation is RA; the highest research capability refers to capability = 5; full name refers to f_name and l_name;

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

SQL: SELECT T1.f_name, T1.l_name FROM student AS T1 INNER JOIN RA AS T2 ON T1.student_id = T2.student_id WHERE T2.capability = 5