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】 food_inspection
【Schema】
# Table: inspections
[
(business_id:INTEGER, Examples: [10, 24, 31]),
(score:INTEGER, Examples: [92, 94, 82]),
(date:DATE, Examples: [2014-01-14]),
(type:TEXT, Examples: [Routine - Unscheduled])
]
# Table: violations
[
(business_id:INTEGER, Examples: [10, 24, 31]),
(date:DATE, Examples: [2014-07-29]),
(violation_type_id:TEXT, Examples: [103129, 103144, 103119]),
(risk_category:TEXT, Examples: [Moderate Risk, Low Risk, High Risk]),
(description:TEXT, Examples: [Insufficient hot water or running water])
]
# Table: businesses
[
(business_id:INTEGER, Primary Key, Examples: [10, 24, 31]),
(name:TEXT, Examples: [Tiramisu Kitchen]),
(address:TEXT, Examples: [033 Belden Pl]),
(city:TEXT, Examples: [San Francisco, S.F., SAN FRANCISCO]),
(postal_code:TEXT, Examples: [94104, 94133, 94110]),
(latitude:REAL, Examples: [37.7911, 37.7929, 37.8072]),
(longitude:REAL, Examples: [-122.404, -122.403, -122.419]),
(phone_number:INTEGER, Examples: [14155345060, 14155823535, 14155344645]),
(tax_code:TEXT, Examples: [H24, H01, H25]),
(business_certificate:INTEGER, Examples: [779059, 352312, 346882]),
(application_date:DATE, Examples: [2001-10-10]),
(owner_name:TEXT, Examples: [Tiramisu LLC]),
(owner_address:TEXT, Examples: [33 Belden St]),
(owner_city:TEXT, Examples: [San Francisco, S.F., SAN FRANCISCO]),
(owner_state:TEXT, Examples: [CA, DC, WA]),
(owner_zip:TEXT, Examples: [94104, 94133, 94114])
]
【Foreign keys】
inspections.business_id=businesses.business_id
violations.business_id=businesses.business_id

    【Question】
    How many owners have 5 or more establishments? 5 or more establishments COUNT(business_id) > = 5;

    【Evidence】
    5 or more establishments COUNT(business_id) > = 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.owner_name) FROM ( SELECT owner_name FROM businesses GROUP BY owner_name HAVING COUNT(owner_name) > 5 ) T1
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 food_inspection
【Schema】
# Table: inspections
[
(business_id:INTEGER, Examples: [10, 24, 31]),
(score:INTEGER, Examples: [92, 94, 82]),
(date:DATE, Examples: [2014-01-14]),
(type:TEXT, Examples: [Routine - Unscheduled])
]
# Table: violations
[
(business_id:INTEGER, Examples: [10, 24, 31]),
(date:DATE, Examples: [2014-07-29]),
(violation_type_id:TEXT, Examples: [103129, 103144, 103119]),
(risk_category:TEXT, Examples: [Moderate Risk, Low Risk, High Risk]),
(description:TEXT, Examples: [Insufficient hot water or running water])
]
# Table: businesses
[
(business_id:INTEGER, Primary Key, Examples: [10, 24, 31]),
(name:TEXT, Examples: [Tiramisu Kitchen]),
(address:TEXT, Examples: [033 Belden Pl]),
(city:TEXT, Examples: [San Francisco, S.F., SAN FRANCISCO]),
(postal_code:TEXT, Examples: [94104, 94133, 94110]),
(latitude:REAL, Examples: [37.7911, 37.7929, 37.8072]),
(longitude:REAL, Examples: [-122.404, -122.403, -122.419]),
(phone_number:INTEGER, Examples: [14155345060, 14155823535, 14155344645]),
(tax_code:TEXT, Examples: [H24, H01, H25]),
(business_certificate:INTEGER, Examples: [779059, 352312, 346882]),
(application_date:DATE, Examples: [2001-10-10]),
(owner_name:TEXT, Examples: [Tiramisu LLC]),
(owner_address:TEXT, Examples: [33 Belden St]),
(owner_city:TEXT, Examples: [San Francisco, S.F., SAN FRANCISCO]),
(owner_state:TEXT, Examples: [CA, DC, WA]),
(owner_zip:TEXT, Examples: [94104, 94133, 94114])
]
【Foreign keys】
inspections.business_id=businesses.business_id
violations.business_id=businesses.business_id

    【Question】
    What are the names of the establishments that met all of the required standards in 2013? establishments have the same meaning as businesses; met all of the required standards refers to score = 100; year(date) = 2013

    【Evidence】
    establishments have the same meaning as businesses; met all of the required standards refers to score = 100; year(date) = 2013

    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.name FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE STRFTIME('%Y', T1.`date`) = '2013' AND T1.score = 100
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 food_inspection
【Schema】
# Table: inspections
[
(business_id:INTEGER, Examples: [10, 24, 31]),
(score:INTEGER, Examples: [92, 94, 82]),
(date:DATE, Examples: [2014-01-14]),
(type:TEXT, Examples: [Routine - Unscheduled])
]
# Table: violations
[
(business_id:INTEGER, Examples: [10, 24, 31]),
(date:DATE, Examples: [2014-07-29]),
(violation_type_id:TEXT, Examples: [103129, 103144, 103119]),
(risk_category:TEXT, Examples: [Moderate Risk, Low Risk, High Risk]),
(description:TEXT, Examples: [Insufficient hot water or running water])
]
# Table: businesses
[
(business_id:INTEGER, Primary Key, Examples: [10, 24, 31]),
(name:TEXT, Examples: [Tiramisu Kitchen]),
(address:TEXT, Examples: [033 Belden Pl]),
(city:TEXT, Examples: [San Francisco, S.F., SAN FRANCISCO]),
(postal_code:TEXT, Examples: [94104, 94133, 94110]),
(latitude:REAL, Examples: [37.7911, 37.7929, 37.8072]),
(longitude:REAL, Examples: [-122.404, -122.403, -122.419]),
(phone_number:INTEGER, Examples: [14155345060, 14155823535, 14155344645]),
(tax_code:TEXT, Examples: [H24, H01, H25]),
(business_certificate:INTEGER, Examples: [779059, 352312, 346882]),
(application_date:DATE, Examples: [2001-10-10]),
(owner_name:TEXT, Examples: [Tiramisu LLC]),
(owner_address:TEXT, Examples: [33 Belden St]),
(owner_city:TEXT, Examples: [San Francisco, S.F., SAN FRANCISCO]),
(owner_state:TEXT, Examples: [CA, DC, WA]),
(owner_zip:TEXT, Examples: [94104, 94133, 94114])
]
【Foreign keys】
inspections.business_id=businesses.business_id
violations.business_id=businesses.business_id

    【Question】
    In 2016, which city has the highest number of establishments with the highest health and safety hazards? the highest health and safety hazards refer to risk_category = 'High Risk'; year(date) = 2016; establishments has the same meaning as businesses;

    【Evidence】
    the highest health and safety hazards refer to risk_category = 'High Risk'; year(date) = 2016; establishments has the same meaning as businesses;

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

SQL: SELECT T2.city FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE STRFTIME('%Y', T1.`date`) = '2016' AND T1.risk_category = 'High Risk' GROUP BY T2.city ORDER BY COUNT(T2.city) DESC LIMIT 1
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 food_inspection
【Schema】
# Table: inspections
[
(business_id:INTEGER, Examples: [10, 24, 31]),
(score:INTEGER, Examples: [92, 94, 82]),
(date:DATE, Examples: [2014-01-14]),
(type:TEXT, Examples: [Routine - Unscheduled])
]
# Table: violations
[
(business_id:INTEGER, Examples: [10, 24, 31]),
(date:DATE, Examples: [2014-07-29]),
(violation_type_id:TEXT, Examples: [103129, 103144, 103119]),
(risk_category:TEXT, Examples: [Moderate Risk, Low Risk, High Risk]),
(description:TEXT, Examples: [Insufficient hot water or running water])
]
# Table: businesses
[
(business_id:INTEGER, Primary Key, Examples: [10, 24, 31]),
(name:TEXT, Examples: [Tiramisu Kitchen]),
(address:TEXT, Examples: [033 Belden Pl]),
(city:TEXT, Examples: [San Francisco, S.F., SAN FRANCISCO]),
(postal_code:TEXT, Examples: [94104, 94133, 94110]),
(latitude:REAL, Examples: [37.7911, 37.7929, 37.8072]),
(longitude:REAL, Examples: [-122.404, -122.403, -122.419]),
(phone_number:INTEGER, Examples: [14155345060, 14155823535, 14155344645]),
(tax_code:TEXT, Examples: [H24, H01, H25]),
(business_certificate:INTEGER, Examples: [779059, 352312, 346882]),
(application_date:DATE, Examples: [2001-10-10]),
(owner_name:TEXT, Examples: [Tiramisu LLC]),
(owner_address:TEXT, Examples: [33 Belden St]),
(owner_city:TEXT, Examples: [San Francisco, S.F., SAN FRANCISCO]),
(owner_state:TEXT, Examples: [CA, DC, WA]),
(owner_zip:TEXT, Examples: [94104, 94133, 94114])
]
【Foreign keys】
inspections.business_id=businesses.business_id
violations.business_id=businesses.business_id

    【Question】
    What is the name of the establishment with the lowest inspection score of all time? the lowest inspection score refers to MIN(score);

    【Evidence】
    the lowest inspection score refers to MIN(score);

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

SQL: SELECT T2.name FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.score = ( SELECT MIN(score) FROM inspections )
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 food_inspection
【Schema】
# Table: inspections
[
(business_id:INTEGER, Examples: [10, 24, 31]),
(score:INTEGER, Examples: [92, 94, 82]),
(date:DATE, Examples: [2014-01-14]),
(type:TEXT, Examples: [Routine - Unscheduled])
]
# Table: violations
[
(business_id:INTEGER, Examples: [10, 24, 31]),
(date:DATE, Examples: [2014-07-29]),
(violation_type_id:TEXT, Examples: [103129, 103144, 103119]),
(risk_category:TEXT, Examples: [Moderate Risk, Low Risk, High Risk]),
(description:TEXT, Examples: [Insufficient hot water or running water])
]
# Table: businesses
[
(business_id:INTEGER, Primary Key, Examples: [10, 24, 31]),
(name:TEXT, Examples: [Tiramisu Kitchen]),
(address:TEXT, Examples: [033 Belden Pl]),
(city:TEXT, Examples: [San Francisco, S.F., SAN FRANCISCO]),
(postal_code:TEXT, Examples: [94104, 94133, 94110]),
(latitude:REAL, Examples: [37.7911, 37.7929, 37.8072]),
(longitude:REAL, Examples: [-122.404, -122.403, -122.419]),
(phone_number:INTEGER, Examples: [14155345060, 14155823535, 14155344645]),
(tax_code:TEXT, Examples: [H24, H01, H25]),
(business_certificate:INTEGER, Examples: [779059, 352312, 346882]),
(application_date:DATE, Examples: [2001-10-10]),
(owner_name:TEXT, Examples: [Tiramisu LLC]),
(owner_address:TEXT, Examples: [33 Belden St]),
(owner_city:TEXT, Examples: [San Francisco, S.F., SAN FRANCISCO]),
(owner_state:TEXT, Examples: [CA, DC, WA]),
(owner_zip:TEXT, Examples: [94104, 94133, 94114])
]
【Foreign keys】
inspections.business_id=businesses.business_id
violations.business_id=businesses.business_id

    【Question】
    How many high risks violations did the Tiramisu Kitchen violate? Tiramisu Kitchen is the name of the business; high risks violations refer to risk_category = 'High Risk';

    【Evidence】
    Tiramisu Kitchen is the name of the business; high risks violations refer to risk_category = 'High Risk';

    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.business_id) FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T2.name = 'Tiramisu Kitchen' AND T1.risk_category = 'High Risk'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 food_inspection
【Schema】
# Table: inspections
[
(business_id:INTEGER, Examples: [10, 24, 31]),
(score:INTEGER, Examples: [92, 94, 82]),
(date:DATE, Examples: [2014-01-14]),
(type:TEXT, Examples: [Routine - Unscheduled])
]
# Table: violations
[
(business_id:INTEGER, Examples: [10, 24, 31]),
(date:DATE, Examples: [2014-07-29]),
(violation_type_id:TEXT, Examples: [103129, 103144, 103119]),
(risk_category:TEXT, Examples: [Moderate Risk, Low Risk, High Risk]),
(description:TEXT, Examples: [Insufficient hot water or running water])
]
# Table: businesses
[
(business_id:INTEGER, Primary Key, Examples: [10, 24, 31]),
(name:TEXT, Examples: [Tiramisu Kitchen]),
(address:TEXT, Examples: [033 Belden Pl]),
(city:TEXT, Examples: [San Francisco, S.F., SAN FRANCISCO]),
(postal_code:TEXT, Examples: [94104, 94133, 94110]),
(latitude:REAL, Examples: [37.7911, 37.7929, 37.8072]),
(longitude:REAL, Examples: [-122.404, -122.403, -122.419]),
(phone_number:INTEGER, Examples: [14155345060, 14155823535, 14155344645]),
(tax_code:TEXT, Examples: [H24, H01, H25]),
(business_certificate:INTEGER, Examples: [779059, 352312, 346882]),
(application_date:DATE, Examples: [2001-10-10]),
(owner_name:TEXT, Examples: [Tiramisu LLC]),
(owner_address:TEXT, Examples: [33 Belden St]),
(owner_city:TEXT, Examples: [San Francisco, S.F., SAN FRANCISCO]),
(owner_state:TEXT, Examples: [CA, DC, WA]),
(owner_zip:TEXT, Examples: [94104, 94133, 94114])
]
【Foreign keys】
inspections.business_id=businesses.business_id
violations.business_id=businesses.business_id

    【Question】
    How many establishments with the tax code H24 have complaint inspections of 5 or more? establishments with the tax code H24 refer to business_id where tax_code = 'H24'; complaint inspections of 5 or more refer to inspections where type = 'Complaint' and COUNT(business_id) ≥ 5;

    【Evidence】
    establishments with the tax code H24 refer to business_id where tax_code = 'H24'; complaint inspections of 5 or more refer to inspections where type = 'Complaint' and COUNT(business_id) ≥ 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(*) FROM ( SELECT T1.business_id FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T2.tax_code = 'H24' AND T1.type = 'Complaint' GROUP BY T1.business_id HAVING COUNT(T1.business_id) > 5 ) T3
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 food_inspection
【Schema】
# Table: inspections
[
(business_id:INTEGER, Examples: [10, 24, 31]),
(score:INTEGER, Examples: [92, 94, 82]),
(date:DATE, Examples: [2014-01-14]),
(type:TEXT, Examples: [Routine - Unscheduled])
]
# Table: violations
[
(business_id:INTEGER, Examples: [10, 24, 31]),
(date:DATE, Examples: [2014-07-29]),
(violation_type_id:TEXT, Examples: [103129, 103144, 103119]),
(risk_category:TEXT, Examples: [Moderate Risk, Low Risk, High Risk]),
(description:TEXT, Examples: [Insufficient hot water or running water])
]
# Table: businesses
[
(business_id:INTEGER, Primary Key, Examples: [10, 24, 31]),
(name:TEXT, Examples: [Tiramisu Kitchen]),
(address:TEXT, Examples: [033 Belden Pl]),
(city:TEXT, Examples: [San Francisco, S.F., SAN FRANCISCO]),
(postal_code:TEXT, Examples: [94104, 94133, 94110]),
(latitude:REAL, Examples: [37.7911, 37.7929, 37.8072]),
(longitude:REAL, Examples: [-122.404, -122.403, -122.419]),
(phone_number:INTEGER, Examples: [14155345060, 14155823535, 14155344645]),
(tax_code:TEXT, Examples: [H24, H01, H25]),
(business_certificate:INTEGER, Examples: [779059, 352312, 346882]),
(application_date:DATE, Examples: [2001-10-10]),
(owner_name:TEXT, Examples: [Tiramisu LLC]),
(owner_address:TEXT, Examples: [33 Belden St]),
(owner_city:TEXT, Examples: [San Francisco, S.F., SAN FRANCISCO]),
(owner_state:TEXT, Examples: [CA, DC, WA]),
(owner_zip:TEXT, Examples: [94104, 94133, 94114])
]
【Foreign keys】
inspections.business_id=businesses.business_id
violations.business_id=businesses.business_id

    【Question】
    In 2013, what are the names of the establishments with contaminated or adulterated food? establishments have the same meaning as businesses; contaminated or adulterated food refers to violations where description = 'Contaminated or adulterated food'; date = '2013';

    【Evidence】
    establishments have the same meaning as businesses; contaminated or adulterated food refers to violations where description = 'Contaminated or adulterated food'; date = '2013';

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

SQL: SELECT T2.name FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE STRFTIME('%Y', T1.`date`) = '2013' AND T1.description = 'Contaminated or adulterated food'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 food_inspection
【Schema】
# Table: inspections
[
(business_id:INTEGER, Examples: [10, 24, 31]),
(score:INTEGER, Examples: [92, 94, 82]),
(date:DATE, Examples: [2014-01-14]),
(type:TEXT, Examples: [Routine - Unscheduled])
]
# Table: violations
[
(business_id:INTEGER, Examples: [10, 24, 31]),
(date:DATE, Examples: [2014-07-29]),
(violation_type_id:TEXT, Examples: [103129, 103144, 103119]),
(risk_category:TEXT, Examples: [Moderate Risk, Low Risk, High Risk]),
(description:TEXT, Examples: [Insufficient hot water or running water])
]
# Table: businesses
[
(business_id:INTEGER, Primary Key, Examples: [10, 24, 31]),
(name:TEXT, Examples: [Tiramisu Kitchen]),
(address:TEXT, Examples: [033 Belden Pl]),
(city:TEXT, Examples: [San Francisco, S.F., SAN FRANCISCO]),
(postal_code:TEXT, Examples: [94104, 94133, 94110]),
(latitude:REAL, Examples: [37.7911, 37.7929, 37.8072]),
(longitude:REAL, Examples: [-122.404, -122.403, -122.419]),
(phone_number:INTEGER, Examples: [14155345060, 14155823535, 14155344645]),
(tax_code:TEXT, Examples: [H24, H01, H25]),
(business_certificate:INTEGER, Examples: [779059, 352312, 346882]),
(application_date:DATE, Examples: [2001-10-10]),
(owner_name:TEXT, Examples: [Tiramisu LLC]),
(owner_address:TEXT, Examples: [33 Belden St]),
(owner_city:TEXT, Examples: [San Francisco, S.F., SAN FRANCISCO]),
(owner_state:TEXT, Examples: [CA, DC, WA]),
(owner_zip:TEXT, Examples: [94104, 94133, 94114])
]
【Foreign keys】
inspections.business_id=businesses.business_id
violations.business_id=businesses.business_id

    【Question】
    Among the establishments with a postal code of 94102, how many establishments have a score of 90 or more in 2015? establishment has the same meaning as business; score of 90 or more refers to score ≥ 90; year(date) = 2015;

    【Evidence】
    establishment has the same meaning as business; score of 90 or more refers to score ≥ 90; year(date) = 2015;

    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 T2.business_id) FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id INNER JOIN inspections AS T3 ON T2.business_id = T3.business_id WHERE STRFTIME('%Y', T1.`date`) = '2015' AND T2.postal_code = '94102' AND T3.score > 90
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 food_inspection
【Schema】
# Table: inspections
[
(business_id:INTEGER, Examples: [10, 24, 31]),
(score:INTEGER, Examples: [92, 94, 82]),
(date:DATE, Examples: [2014-01-14]),
(type:TEXT, Examples: [Routine - Unscheduled])
]
# Table: violations
[
(business_id:INTEGER, Examples: [10, 24, 31]),
(date:DATE, Examples: [2014-07-29]),
(violation_type_id:TEXT, Examples: [103129, 103144, 103119]),
(risk_category:TEXT, Examples: [Moderate Risk, Low Risk, High Risk]),
(description:TEXT, Examples: [Insufficient hot water or running water])
]
# Table: businesses
[
(business_id:INTEGER, Primary Key, Examples: [10, 24, 31]),
(name:TEXT, Examples: [Tiramisu Kitchen]),
(address:TEXT, Examples: [033 Belden Pl]),
(city:TEXT, Examples: [San Francisco, S.F., SAN FRANCISCO]),
(postal_code:TEXT, Examples: [94104, 94133, 94110]),
(latitude:REAL, Examples: [37.7911, 37.7929, 37.8072]),
(longitude:REAL, Examples: [-122.404, -122.403, -122.419]),
(phone_number:INTEGER, Examples: [14155345060, 14155823535, 14155344645]),
(tax_code:TEXT, Examples: [H24, H01, H25]),
(business_certificate:INTEGER, Examples: [779059, 352312, 346882]),
(application_date:DATE, Examples: [2001-10-10]),
(owner_name:TEXT, Examples: [Tiramisu LLC]),
(owner_address:TEXT, Examples: [33 Belden St]),
(owner_city:TEXT, Examples: [San Francisco, S.F., SAN FRANCISCO]),
(owner_state:TEXT, Examples: [CA, DC, WA]),
(owner_zip:TEXT, Examples: [94104, 94133, 94114])
]
【Foreign keys】
inspections.business_id=businesses.business_id
violations.business_id=businesses.business_id

    【Question】
    What are the names of the establishments that met all the required standards for 4 consecutive years? establishment has the same meaning as business; score of 90 or more refers to score ≥ 90; year(date) = 2015; ; met all required standards for 4 consecutive years refers to COUNT(year(date)) = 4 where score = 100;

    【Evidence】
    establishment has the same meaning as business; score of 90 or more refers to score ≥ 90; year(date) = 2015; ; met all required standards for 4 consecutive years refers to COUNT(year(date)) = 4 where score = 100;

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

SQL: SELECT DISTINCT T4.name FROM ( SELECT T3.name, T3.years, row_number() OVER (PARTITION BY T3.name ORDER BY T3.years) AS rowNumber FROM ( SELECT DISTINCT name, STRFTIME('%Y', `date`) AS years FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.score = 100 ) AS T3 ) AS T4 GROUP BY T4.name, date(T4.years || '-01-01', '-' || (T4.rowNumber - 1) || ' years') HAVING COUNT(T4.years) = 4
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 food_inspection
【Schema】
# Table: inspections
[
(business_id:INTEGER, Examples: [10, 24, 31]),
(score:INTEGER, Examples: [92, 94, 82]),
(date:DATE, Examples: [2014-01-14]),
(type:TEXT, Examples: [Routine - Unscheduled])
]
# Table: violations
[
(business_id:INTEGER, Examples: [10, 24, 31]),
(date:DATE, Examples: [2014-07-29]),
(violation_type_id:TEXT, Examples: [103129, 103144, 103119]),
(risk_category:TEXT, Examples: [Moderate Risk, Low Risk, High Risk]),
(description:TEXT, Examples: [Insufficient hot water or running water])
]
# Table: businesses
[
(business_id:INTEGER, Primary Key, Examples: [10, 24, 31]),
(name:TEXT, Examples: [Tiramisu Kitchen]),
(address:TEXT, Examples: [033 Belden Pl]),
(city:TEXT, Examples: [San Francisco, S.F., SAN FRANCISCO]),
(postal_code:TEXT, Examples: [94104, 94133, 94110]),
(latitude:REAL, Examples: [37.7911, 37.7929, 37.8072]),
(longitude:REAL, Examples: [-122.404, -122.403, -122.419]),
(phone_number:INTEGER, Examples: [14155345060, 14155823535, 14155344645]),
(tax_code:TEXT, Examples: [H24, H01, H25]),
(business_certificate:INTEGER, Examples: [779059, 352312, 346882]),
(application_date:DATE, Examples: [2001-10-10]),
(owner_name:TEXT, Examples: [Tiramisu LLC]),
(owner_address:TEXT, Examples: [33 Belden St]),
(owner_city:TEXT, Examples: [San Francisco, S.F., SAN FRANCISCO]),
(owner_state:TEXT, Examples: [CA, DC, WA]),
(owner_zip:TEXT, Examples: [94104, 94133, 94114])
]
【Foreign keys】
inspections.business_id=businesses.business_id
violations.business_id=businesses.business_id

    【Question】
    Between 2014 to 2016, what is the average inpsection score of the establishment owned by Yiu Tim Chan in 808 Pacific Ave, San Francisco? average inspection score refers to avg(score); establishment owned by Yiu Tim Chan refers to business_id where owner_name = 'Yiu Tim Chan'; Between 2014 to 2016 refers to year(date) between 2014 and 2016; address = '808 Pacific Ave'; city = 'San Francisco';

    【Evidence】
    average inspection score refers to avg(score); establishment owned by Yiu Tim Chan refers to business_id where owner_name = 'Yiu Tim Chan'; Between 2014 to 2016 refers to year(date) between 2014 and 2016; address = '808 Pacific Ave'; city = 'San Francisco';

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

SQL: SELECT AVG(T1.score) FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE STRFTIME('%Y', T1.`date`) BETWEEN '2014' AND '2016' AND T2.owner_name = 'Yiu Tim Chan' AND T2.address = '808 Pacific Ave' AND T2.city = 'San Francisco'