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】 mental_health_survey
【Schema】
# Table: Survey
[
(SurveyID:INTEGER, Primary Key, Examples: [2014, 2016, 2017]),
(Description:TEXT, Examples: [mental health survey for 2014])
]
# Table: Answer
[
(AnswerText:TEXT, Examples: [37, 44, 32]),
(SurveyID:INTEGER, Examples: [2014, 2016, 2017]),
(UserID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(QuestionID:INTEGER, Primary Key, Examples: [1, 2, 3])
]
# Table: Question
[
(questiontext:TEXT, Examples: [What is your age?]),
(questionid:INTEGER, Primary Key, Examples: [1, 2, 3])
]
【Foreign keys】
Answer.QuestionID=Question.questionid
Answer.SurveyID=Survey.SurveyID

    【Question】
    How many users answered "Yes" to the question "Have you had a mental health disorder in the past?" in 3 consecutive years starting from 2016? question refers to questiontext; answered 'Yes' to question refers to AnswerText = 'Yes'; 3 consecutive years starting from 2016 refers to SurveyID = 2016 and SurveyID = 2017 and SurveyID = 2018

    【Evidence】
    question refers to questiontext; answered 'Yes' to question refers to AnswerText = 'Yes'; 3 consecutive years starting from 2016 refers to SurveyID = 2016 and SurveyID = 2017 and SurveyID = 2018

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

SQL: SELECT COUNT(T2.UserID) FROM Question AS T1 INNER JOIN Answer AS T2 ON T1.questionid = T2.QuestionID WHERE T2.SurveyID IN (2016, 2017, 2018) AND T1.questiontext LIKE 'Have you had a mental health disorder in the past?' AND T2.AnswerText = 'Yes'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 mental_health_survey
【Schema】
# Table: Survey
[
(SurveyID:INTEGER, Primary Key, Examples: [2014, 2016, 2017]),
(Description:TEXT, Examples: [mental health survey for 2014])
]
# Table: Answer
[
(AnswerText:TEXT, Examples: [37, 44, 32]),
(SurveyID:INTEGER, Examples: [2014, 2016, 2017]),
(UserID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(QuestionID:INTEGER, Primary Key, Examples: [1, 2, 3])
]
# Table: Question
[
(questiontext:TEXT, Examples: [What is your age?]),
(questionid:INTEGER, Primary Key, Examples: [1, 2, 3])
]
【Foreign keys】
Answer.QuestionID=Question.questionid
Answer.SurveyID=Survey.SurveyID

    【Question】
    What is the average result of the question "What is your age?" in 2014's survey? average result refers to avg(AnswerText(SurveyID = 2014& QuestionID = 1))

    【Evidence】
    average result refers to avg(AnswerText(SurveyID = 2014& QuestionID = 1))

    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(T2.AnswerText) AS REAL) / COUNT(T2.UserID) AS "avg" FROM Question AS T1 INNER JOIN Answer AS T2 ON T1.questionid = T2.QuestionID WHERE T2.SurveyID = 2014 AND T1.questiontext LIKE 'What is your age?'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 mental_health_survey
【Schema】
# Table: Survey
[
(SurveyID:INTEGER, Primary Key, Examples: [2014, 2016, 2017]),
(Description:TEXT, Examples: [mental health survey for 2014])
]
# Table: Answer
[
(AnswerText:TEXT, Examples: [37, 44, 32]),
(SurveyID:INTEGER, Examples: [2014, 2016, 2017]),
(UserID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(QuestionID:INTEGER, Primary Key, Examples: [1, 2, 3])
]
# Table: Question
[
(questiontext:TEXT, Examples: [What is your age?]),
(questionid:INTEGER, Primary Key, Examples: [1, 2, 3])
]
【Foreign keys】
Answer.QuestionID=Question.questionid
Answer.SurveyID=Survey.SurveyID

    【Question】
    What is the rate of increase of users with a current mental disorder from 2019's survey to 2016's survey? 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)))

    【Evidence】
    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)))

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

SQL: 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' )
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 mental_health_survey
【Schema】
# Table: Survey
[
(SurveyID:INTEGER, Primary Key, Examples: [2014, 2016, 2017]),
(Description:TEXT, Examples: [mental health survey for 2014])
]
# Table: Answer
[
(AnswerText:TEXT, Examples: [37, 44, 32]),
(SurveyID:INTEGER, Examples: [2014, 2016, 2017]),
(UserID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(QuestionID:INTEGER, Primary Key, Examples: [1, 2, 3])
]
# Table: Question
[
(questiontext:TEXT, Examples: [What is your age?]),
(questionid:INTEGER, Primary Key, Examples: [1, 2, 3])
]
【Foreign keys】
Answer.QuestionID=Question.questionid
Answer.SurveyID=Survey.SurveyID

    【Question】
    Tell the question ID for "Would you bring up a physical health issue with a potential employer in an interview?".

    【Evidence】
    

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

SQL: SELECT questionid FROM Question WHERE questiontext LIKE 'Would you bring up a physical health issue with a potential employer in an interview?'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 mental_health_survey
【Schema】
# Table: Survey
[
(SurveyID:INTEGER, Primary Key, Examples: [2014, 2016, 2017]),
(Description:TEXT, Examples: [mental health survey for 2014])
]
# Table: Answer
[
(AnswerText:TEXT, Examples: [37, 44, 32]),
(SurveyID:INTEGER, Examples: [2014, 2016, 2017]),
(UserID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(QuestionID:INTEGER, Primary Key, Examples: [1, 2, 3])
]
# Table: Question
[
(questiontext:TEXT, Examples: [What is your age?]),
(questionid:INTEGER, Primary Key, Examples: [1, 2, 3])
]
【Foreign keys】
Answer.QuestionID=Question.questionid
Answer.SurveyID=Survey.SurveyID

    【Question】
    How many users answered the question No.20? question No.20 refers to QuestionID = 20

    【Evidence】
    question No.20 refers to QuestionID = 20

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

SQL: SELECT MAX(UserID) - MIN(UserID) + 1 FROM Answer WHERE QuestionID = 20
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 mental_health_survey
【Schema】
# Table: Survey
[
(SurveyID:INTEGER, Primary Key, Examples: [2014, 2016, 2017]),
(Description:TEXT, Examples: [mental health survey for 2014])
]
# Table: Answer
[
(AnswerText:TEXT, Examples: [37, 44, 32]),
(SurveyID:INTEGER, Examples: [2014, 2016, 2017]),
(UserID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(QuestionID:INTEGER, Primary Key, Examples: [1, 2, 3])
]
# Table: Question
[
(questiontext:TEXT, Examples: [What is your age?]),
(questionid:INTEGER, Primary Key, Examples: [1, 2, 3])
]
【Foreign keys】
Answer.QuestionID=Question.questionid
Answer.SurveyID=Survey.SurveyID

    【Question】
    How many questions did user No.5 answer? user No.5 refers to userID = 5

    【Evidence】
    user No.5 refers to userID = 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(QuestionID) FROM Answer WHERE UserID = 5
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 mental_health_survey
【Schema】
# Table: Survey
[
(SurveyID:INTEGER, Primary Key, Examples: [2014, 2016, 2017]),
(Description:TEXT, Examples: [mental health survey for 2014])
]
# Table: Answer
[
(AnswerText:TEXT, Examples: [37, 44, 32]),
(SurveyID:INTEGER, Examples: [2014, 2016, 2017]),
(UserID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(QuestionID:INTEGER, Primary Key, Examples: [1, 2, 3])
]
# Table: Question
[
(questiontext:TEXT, Examples: [What is your age?]),
(questionid:INTEGER, Primary Key, Examples: [1, 2, 3])
]
【Foreign keys】
Answer.QuestionID=Question.questionid
Answer.SurveyID=Survey.SurveyID

    【Question】
    How many users participated in the Survey No.2016? Survey No.2016 refers to SurveyID = 2016

    【Evidence】
    Survey No.2016 refers to SurveyID = 2016

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

SQL: SELECT COUNT(DISTINCT UserID) FROM Answer WHERE SurveyID LIKE 2016
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 mental_health_survey
【Schema】
# Table: Survey
[
(SurveyID:INTEGER, Primary Key, Examples: [2014, 2016, 2017]),
(Description:TEXT, Examples: [mental health survey for 2014])
]
# Table: Answer
[
(AnswerText:TEXT, Examples: [37, 44, 32]),
(SurveyID:INTEGER, Examples: [2014, 2016, 2017]),
(UserID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(QuestionID:INTEGER, Primary Key, Examples: [1, 2, 3])
]
# Table: Question
[
(questiontext:TEXT, Examples: [What is your age?]),
(questionid:INTEGER, Primary Key, Examples: [1, 2, 3])
]
【Foreign keys】
Answer.QuestionID=Question.questionid
Answer.SurveyID=Survey.SurveyID

    【Question】
    State the number of questions that were asked in the "mental health survey for 2018". mental health survey for 2018 refers to SurveyID = 2018

    【Evidence】
    mental health survey for 2018 refers to SurveyID = 2018

    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.QuestionID) FROM Answer AS T1 INNER JOIN Survey AS T2 ON T1.SurveyID = T2.SurveyID WHERE T2.Description = 'mental health survey for 2018'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 mental_health_survey
【Schema】
# Table: Survey
[
(SurveyID:INTEGER, Primary Key, Examples: [2014, 2016, 2017]),
(Description:TEXT, Examples: [mental health survey for 2014])
]
# Table: Answer
[
(AnswerText:TEXT, Examples: [37, 44, 32]),
(SurveyID:INTEGER, Examples: [2014, 2016, 2017]),
(UserID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(QuestionID:INTEGER, Primary Key, Examples: [1, 2, 3])
]
# Table: Question
[
(questiontext:TEXT, Examples: [What is your age?]),
(questionid:INTEGER, Primary Key, Examples: [1, 2, 3])
]
【Foreign keys】
Answer.QuestionID=Question.questionid
Answer.SurveyID=Survey.SurveyID

    【Question】
    Tell the number of surveys that contained the question “What country do you work in?”. question refers to questiontext

    【Evidence】
    question refers to questiontext

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

SQL: SELECT COUNT(DISTINCT T1.QuestionID) 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 T2.questiontext = 'What country do you work in?'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 mental_health_survey
【Schema】
# Table: Survey
[
(SurveyID:INTEGER, Primary Key, Examples: [2014, 2016, 2017]),
(Description:TEXT, Examples: [mental health survey for 2014])
]
# Table: Answer
[
(AnswerText:TEXT, Examples: [37, 44, 32]),
(SurveyID:INTEGER, Examples: [2014, 2016, 2017]),
(UserID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(QuestionID:INTEGER, Primary Key, Examples: [1, 2, 3])
]
# Table: Question
[
(questiontext:TEXT, Examples: [What is your age?]),
(questionid:INTEGER, Primary Key, Examples: [1, 2, 3])
]
【Foreign keys】
Answer.QuestionID=Question.questionid
Answer.SurveyID=Survey.SurveyID

    【Question】
    What answer did user No. 2681 give to the question "Do you currently have a mental health disorder?"? question refers to questiontext; user No. 2681 refers to UserID = 2681

    【Evidence】
    question refers to questiontext; user No. 2681 refers to UserID = 2681



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

SQL: SELECT T1.AnswerText FROM Answer AS T1 INNER JOIN Question AS T2 ON T1.QuestionID = T2.questionid WHERE T2.questiontext = 'Do you currently have a mental health disorder?' AND T1.UserID = 2681
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 mental_health_survey
【Schema】
# Table: Survey
[
(SurveyID:INTEGER, Primary Key, Examples: [2014, 2016, 2017]),
(Description:TEXT, Examples: [mental health survey for 2014])
]
# Table: Answer
[
(AnswerText:TEXT, Examples: [37, 44, 32]),
(SurveyID:INTEGER, Examples: [2014, 2016, 2017]),
(UserID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(QuestionID:INTEGER, Primary Key, Examples: [1, 2, 3])
]
# Table: Question
[
(questiontext:TEXT, Examples: [What is your age?]),
(questionid:INTEGER, Primary Key, Examples: [1, 2, 3])
]
【Foreign keys】
Answer.QuestionID=Question.questionid
Answer.SurveyID=Survey.SurveyID

    【Question】
    Provide the number of users who took part in the "mental health survey for 2016". mental health survey for 2016 refers to SurveyID = 2016

    【Evidence】
    mental health survey for 2016 refers to SurveyID = 2016

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

SQL: 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 2016'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 mental_health_survey
【Schema】
# Table: Survey
[
(SurveyID:INTEGER, Primary Key, Examples: [2014, 2016, 2017]),
(Description:TEXT, Examples: [mental health survey for 2014])
]
# Table: Answer
[
(AnswerText:TEXT, Examples: [37, 44, 32]),
(SurveyID:INTEGER, Examples: [2014, 2016, 2017]),
(UserID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(QuestionID:INTEGER, Primary Key, Examples: [1, 2, 3])
]
# Table: Question
[
(questiontext:TEXT, Examples: [What is your age?]),
(questionid:INTEGER, Primary Key, Examples: [1, 2, 3])
]
【Foreign keys】
Answer.QuestionID=Question.questionid
Answer.SurveyID=Survey.SurveyID

    【Question】
    What was the most common answer for the question "What country do you work in?"? most common answer refers to AnswerText where MAX(COUNT(AnswerText(QuestionID = 3)))

    【Evidence】
    most common answer refers to AnswerText where MAX(COUNT(AnswerText(QuestionID = 3)))

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

SQL: 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
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 mental_health_survey
【Schema】
# Table: Survey
[
(SurveyID:INTEGER, Primary Key, Examples: [2014, 2016, 2017]),
(Description:TEXT, Examples: [mental health survey for 2014])
]
# Table: Answer
[
(AnswerText:TEXT, Examples: [37, 44, 32]),
(SurveyID:INTEGER, Examples: [2014, 2016, 2017]),
(UserID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(QuestionID:INTEGER, Primary Key, Examples: [1, 2, 3])
]
# Table: Question
[
(questiontext:TEXT, Examples: [What is your age?]),
(questionid:INTEGER, Primary Key, Examples: [1, 2, 3])
]
【Foreign keys】
Answer.QuestionID=Question.questionid
Answer.SurveyID=Survey.SurveyID

    【Question】
    How many different answers did the question "Describe the conversation you had with your previous employer about your mental health, including their reactions and actions taken to address your mental health issue/questions." get?

    【Evidence】
    

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

SQL: SELECT COUNT(DISTINCT T1.AnswerText) FROM Answer AS T1 INNER JOIN Question AS T2 ON T1.QuestionID = T2.questionid WHERE T2.questiontext LIKE 'Describe the conversation you had with your previous employer about your mental health, including their reactions and actions taken to address your mental health issue/questions.'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 mental_health_survey
【Schema】
# Table: Survey
[
(SurveyID:INTEGER, Primary Key, Examples: [2014, 2016, 2017]),
(Description:TEXT, Examples: [mental health survey for 2014])
]
# Table: Answer
[
(AnswerText:TEXT, Examples: [37, 44, 32]),
(SurveyID:INTEGER, Examples: [2014, 2016, 2017]),
(UserID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(QuestionID:INTEGER, Primary Key, Examples: [1, 2, 3])
]
# Table: Question
[
(questiontext:TEXT, Examples: [What is your age?]),
(questionid:INTEGER, Primary Key, Examples: [1, 2, 3])
]
【Foreign keys】
Answer.QuestionID=Question.questionid
Answer.SurveyID=Survey.SurveyID

    【Question】
    For the question “What US state or territory do you work in?”, how many people gave "Kansas" as the answer? question refers to questiontext; AnswerText = 'Kansas'

    【Evidence】
    question refers to questiontext; AnswerText = 'Kansas'

    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.UserID) FROM Answer AS T1 INNER JOIN Question AS T2 ON T1.QuestionID = T2.questionid WHERE T2.questiontext LIKE 'What US state or territory do you work in?' AND T1.AnswerText = 'Kansas'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 mental_health_survey
【Schema】
# Table: Survey
[
(SurveyID:INTEGER, Primary Key, Examples: [2014, 2016, 2017]),
(Description:TEXT, Examples: [mental health survey for 2014])
]
# Table: Answer
[
(AnswerText:TEXT, Examples: [37, 44, 32]),
(SurveyID:INTEGER, Examples: [2014, 2016, 2017]),
(UserID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(QuestionID:INTEGER, Primary Key, Examples: [1, 2, 3])
]
# Table: Question
[
(questiontext:TEXT, Examples: [What is your age?]),
(questionid:INTEGER, Primary Key, Examples: [1, 2, 3])
]
【Foreign keys】
Answer.QuestionID=Question.questionid
Answer.SurveyID=Survey.SurveyID

    【Question】
    How many people wrote comments for the question "Any additional notes or comments."? question refers to questiontext; wrote comments refers to AnswerText(QuestionID = 103) ! = -1

    【Evidence】
    question refers to questiontext; wrote comments refers to AnswerText(QuestionID = 103) ! = -1

    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.UserID) FROM Answer AS T1 INNER JOIN Question AS T2 ON T1.QuestionID = T2.questionid WHERE T2.questiontext LIKE 'Any additional notes or comments' AND T1.AnswerText IS NOT NULL
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 mental_health_survey
【Schema】
# Table: Survey
[
(SurveyID:INTEGER, Primary Key, Examples: [2014, 2016, 2017]),
(Description:TEXT, Examples: [mental health survey for 2014])
]
# Table: Answer
[
(AnswerText:TEXT, Examples: [37, 44, 32]),
(SurveyID:INTEGER, Examples: [2014, 2016, 2017]),
(UserID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(QuestionID:INTEGER, Primary Key, Examples: [1, 2, 3])
]
# Table: Question
[
(questiontext:TEXT, Examples: [What is your age?]),
(questionid:INTEGER, Primary Key, Examples: [1, 2, 3])
]
【Foreign keys】
Answer.QuestionID=Question.questionid
Answer.SurveyID=Survey.SurveyID

    【Question】
    For all the users who have been asked "Have you ever been diagnosed with a mental health disorder?", how many of them said "Yes"? have asked refers to questiontext; said 'Yes' refers to AnswerText = 'Yes'

    【Evidence】
    have asked refers to questiontext; said 'Yes' refers to AnswerText = 'Yes'

    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.UserID) FROM Answer AS T1 INNER JOIN Question AS T2 ON T1.QuestionID = T2.questionid WHERE T2.questiontext LIKE 'Have you ever been diagnosed with a mental health disorder?' AND T1.AnswerText = 'Yes'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 mental_health_survey
【Schema】
# Table: Survey
[
(SurveyID:INTEGER, Primary Key, Examples: [2014, 2016, 2017]),
(Description:TEXT, Examples: [mental health survey for 2014])
]
# Table: Answer
[
(AnswerText:TEXT, Examples: [37, 44, 32]),
(SurveyID:INTEGER, Examples: [2014, 2016, 2017]),
(UserID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(QuestionID:INTEGER, Primary Key, Examples: [1, 2, 3])
]
# Table: Question
[
(questiontext:TEXT, Examples: [What is your age?]),
(questionid:INTEGER, Primary Key, Examples: [1, 2, 3])
]
【Foreign keys】
Answer.QuestionID=Question.questionid
Answer.SurveyID=Survey.SurveyID

    【Question】
    Give the number of users who took the "mental health survey for 2018". mental health survey for 2018 refers to SurveyID = 2018

    【Evidence】
    mental health survey for 2018 refers to SurveyID = 2018

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

SQL: 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'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 mental_health_survey
【Schema】
# Table: Survey
[
(SurveyID:INTEGER, Primary Key, Examples: [2014, 2016, 2017]),
(Description:TEXT, Examples: [mental health survey for 2014])
]
# Table: Answer
[
(AnswerText:TEXT, Examples: [37, 44, 32]),
(SurveyID:INTEGER, Examples: [2014, 2016, 2017]),
(UserID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(QuestionID:INTEGER, Primary Key, Examples: [1, 2, 3])
]
# Table: Question
[
(questiontext:TEXT, Examples: [What is your age?]),
(questionid:INTEGER, Primary Key, Examples: [1, 2, 3])
]
【Foreign keys】
Answer.QuestionID=Question.questionid
Answer.SurveyID=Survey.SurveyID

    【Question】
    How many users answered the question "Overall, how much importance does your employer place on physical health?"? question refers to questiontext

    【Evidence】
    question refers to questiontext

    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.UserID) FROM Answer AS T1 INNER JOIN Question AS T2 ON T1.QuestionID = T2.questionid WHERE T2.questiontext LIKE 'Overall, how much importance does your employer place on physical health?'