input stringlengths 358 16.1k | output stringlengths 24 805 |
|---|---|
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT CAST(SUM(CASE WHEN T2.gender = 'F' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.PATIENT) FROM encounters AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE strftime('%Y', T1.DATE) = '2010' AND T1.REASONDESCRIPTION = 'Contact dermatitis'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT COUNT(T1.patient) , CAST(SUM(CASE WHEN T2.DESCRIPTION = 'Prenatal visit' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.patient) FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Lorri' AND T1.last = 'Simonis' AND strftime('%Y', T2.DATE) BETWEEN '2010' AND '2017'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT T1.DESCRIPTION FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.first = 'Joye' AND T2.last = 'Homenick'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT DISTINCT T1.START FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.maiden = 'Adams'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT T2.first, T2.last FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.gender = 'M' ORDER BY T1.START LIMIT 1; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT CAST(SUM(CASE WHEN T2.race = 'hispanic' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.PATIENT) FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE strftime('%Y', T1.stop) = '2011'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT DISTINCT T1.REASONDESCRIPTION FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.first = 'Angelo' AND T2.last = 'Buckridge'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT DISTINCT T1.DESCRIPTION FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.ethnicity = 'american'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT DISTINCT T1.ENCOUNTER FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.birthplace = 'Pembroke MA US'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT DISTINCT T1.START FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.deathdate IS NULL; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT COUNT(DISTINCT T1.PATIENT) FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.race = 'white' AND T1.REASONCODE = '10509002'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT DISTINCT T2.first, T2.last FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Diabetic diet'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT DISTINCT T1.STOP FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.deathdate IS NOT NULL AND T1.STOP IS NOT NULL; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT COUNT(DISTINCT T2.patient) FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.ethnicity = 'italian' AND T1.CODE = '304510005'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT CAST(SUM(CASE WHEN T2.gender = 'F' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.PATIENT) AS percentage FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE strftime('%Y', T1.START) = '2010'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT COUNT(DISTINCT T2.patient) FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.race = 'black' AND strftime('%Y', T1.STOP) = '2017'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN conditions AS T2 WHERE T2.DESCRIPTION = 'Prediabetes' AND T1.gender = 'M'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Allergy to nut'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT T2.DESCRIPTION FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Wilmer' AND T1.last = 'Koepp'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT SUM(CASE WHEN T1.gender = 'F' THEN 1 ELSE 0 END), SUM(CASE WHEN T1.gender = 'M' THEN 1 ELSE 0 END) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Viral sinusitis (disorder)'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Penicillin V Potassium 250 MG' AND strftime('%Y', T2.START) >= '1948'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.patient WHERE strftime('%Y', T1.birthdate) = '1935' AND T1.race = 'white' AND T2.DESCRIPTION = 'Stroke'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT DISTINCT T2.DESCRIPTION FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT INNER JOIN immunizations AS T3 ON T1.patient = T3.PATIENT WHERE T3.DESCRIPTION = 'IPV'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT T1.patient FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT INNER JOIN all_prevalences AS T3 ON T3.ITEM = T2.DESCRIPTION ORDER BY T3.OCCURRENCES DESC LIMIT 1; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.patient WHERE T2.DESCRIPTION = 'Cystitis'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'HPV quadrivalent' AND T1.gender = 'M'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT DISTINCT T2.start FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Walter' AND T1.last = 'Bahringer'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT DISTINCT T2.DESCRIPTION FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Major' AND T1.last = 'D''Amore'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT CAST(SUM(CASE WHEN T1.gender = 'M' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.patient) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Viral sinusitis (disorder)'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT CAST(SUM(CASE WHEN T1.gender = 'F' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.patient) FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Penicillin V Potassium 250 MG'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT AVG(T1.VALUE) FROM observations AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.race = 'white' AND T1.DESCRIPTION = 'Body Height'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT T1.DESCRIPTION FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.address = '179 Sydni Roads Taunton MA 02780 US'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT T1.DESCRIPTION FROM allergies AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.first = 'Dirk' AND T2.last = 'Langosh' AND T2.ethnicity = 'dominican'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT COUNT(DISTINCT T2.patient) FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient INNER JOIN allergies AS T3 ON T2.patient = T3.PATIENT WHERE T1.DESCRIPTION = 'Asthma' AND T3.DESCRIPTION = 'Allergy to peanuts'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT T2.first, T2.last FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Drug overdose' AND ROUND((strftime('%J', T2.deathdate) - strftime('%J', T2.birthdate)) / 365) = 44; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT T2.ssn FROM observations AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Systolic Blood Pressure' ORDER BY T1.VALUE DESC LIMIT 1; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT T4.DESCRIPTION FROM all_prevalences AS T1 INNER JOIN conditions AS T2 ON T2.DESCRIPTION = T1.ITEM INNER JOIN encounters AS T3 ON T2.ENCOUNTER = T3.ID INNER JOIN careplans AS T4 ON T4.ENCOUNTER = T3.ID ORDER BY T1."PREVALENCE PERCENTAGE" DESC LIMIT 1; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT DISTINCT T1.DESCRIPTION FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.ssn = '999-15-3685'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT SUM(CASE WHEN T2.deathdate IS NULL THEN ROUND((strftime('%J', date('now')) - strftime('%J', T2.birthdate)) / 365) ELSE ROUND((strftime('%J', T2.deathdate) - strftime('%J', T2.birthdate)) / 365) END) / COUNT(T2.patient) FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTIO... |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT DISTINCT T2.first, T2.last FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.REASONDESCRIPTION = 'Streptococcal sore throat (disorder)' LIMIT 5; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT T2.first, T2.last FROM observations AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Body Weight' AND T1.UNITS = 'kg' AND T1.VALUE = 61.97; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT DISTINCT T2.birthdate FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Penicillin V Potassium 250 MG' AND T2.gender = 'M' LIMIT 5; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT DISTINCT T2.first, T2.last FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient INNER JOIN all_prevalences AS T3 ON T1.DESCRIPTION = T3.ITEM WHERE T2.ethnicity = 'irish' AND 100 * CAST(T3.OCCURRENCES AS REAL) / ( SELECT AVG(OCCURRENCES) FROM all_prevalences ) > 96; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT SUM(CASE WHEN T2.marital = 'M' THEN 1 ELSE 0 END) - SUM(CASE WHEN T2.marital = 'S' THEN 1 ELSE 0 END) FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Diabetes'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT country, COUNT(customerNumber) FROM customers GROUP BY country; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT DISTINCT T1.productVendor, T1.MSRP - T1.buyPrice FROM products AS T1 INNER JOIN orderdetails AS T2 ON T1.productCode = T2.productCode GROUP BY T1.productVendor, T1.MSRP, T1.buyPrice ORDER BY COUNT(T2.quantityOrdered) DESC LIMIT 1; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT DISTINCT T3.lastName, T3.firstName FROM payments AS T1 INNER JOIN customers AS T2 ON T1.customerNumber = T2.customerNumber INNER JOIN employees AS T3 ON T2.salesRepEmployeeNumber = T3.employeeNumber WHERE STRFTIME('%Y', T1.paymentDate) = '2004' ORDER BY T1.amount DESC LIMIT 1; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT T3.priceEach * T3.quantityOrdered FROM customers AS T1 INNER JOIN orders AS T2 ON T1.customerNumber = T2.customerNumber INNER JOIN orderdetails AS T3 ON T2.orderNumber = T3.orderNumber WHERE T1.customerName = 'Rovelli Gifts' AND T2.status = 'Shipped' AND STRFTIME('%Y', T2.shippedDate) = '2003'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT COUNT(employeeNumber) FROM employees WHERE officeCode = ( SELECT officeCode FROM offices WHERE city = 'Sydney' ); |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT T1.employeeNumber FROM employees AS T1 INNER JOIN offices AS T2 ON T1.officeCode = T2.officeCode WHERE T1.reportsTo = 1143 AND T2.city = 'NYC'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT CAST(SUM(T1.amount) AS REAL) / 3, MAX(T1.amount) , MIN(T1.amount) FROM payments AS T1 INNER JOIN customers AS T2 ON T1.customerNumber = T2.customerNumber WHERE T1.paymentDate BETWEEN '2003-01-01' AND '2005-12-31'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT DISTINCT T2.country, T2.addressLine1, T2.addressLine2 FROM payments AS T1 INNER JOIN customers AS T2 ON T1.customerNumber = T2.customerNumber ORDER BY T1.amount DESC LIMIT 5; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT COUNT(T1.checkNumber) FROM payments AS T1 INNER JOIN customers AS T2 ON T1.customerNumber = T2.customerNumber WHERE customerName = 'Euro+ Shopping Channel' AND STRFTIME('%Y', T1.paymentDate) = '2004'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT T1.productName FROM products AS T1 INNER JOIN orderdetails AS T2 ON T1.productCode = T2.productCode WHERE T1.productScale = '1:18' AND T1.productLine = 'Classic Cars' GROUP BY T1.productName ORDER BY SUM(T2.quantityOrdered) DESC LIMIT 1; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT ( SELECT COUNT(customerNumber) FROM customers WHERE creditLimit <= 100000 AND customerNumber IN ( SELECT customerNumber FROM payments WHERE STRFTIME('%Y', paymentDate) = '2004' ) ), T1.customerName FROM customers AS T1 INNER JOIN payments AS T2 ON T1.customerNumber = T2.customerNumber WHERE T1.creditLimit <= 100... |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT T2.customerName, T2.contactFirstName, T2.contactLastName, SUM(T3.amount) FROM employees AS T1 INNER JOIN customers AS T2 ON T2.salesRepEmployeeNumber = T1.employeeNumber INNER JOIN payments AS T3 ON T2.customerNumber = T3.customerNumber INNER JOIN offices AS T4 ON T1.officeCode = T4.officeCode WHERE T4.city = 'T... |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT T2.productName, SUM(T1.quantityOrdered * T1.priceEach) FROM orderdetails AS T1 INNER JOIN ( SELECT productCode, productName FROM products ORDER BY MSRP - buyPrice DESC LIMIT 1 ) AS T2 ON T1.productCode = T2.productCode UNION SELECT T2.productName, SUM(quantityOrdered * priceEach) FROM orderdetails AS T1 INNER JO... |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT COUNT(DISTINCT T1.orderNumber) FROM orderdetails AS T1 INNER JOIN orders AS T2 ON T1.orderNumber = T2.orderNumber WHERE T1.quantityOrdered * T1.priceEach > 4000 AND T2.status = 'Cancelled'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT COUNT(DISTINCT T1.orderNumber) FROM orderdetails AS T1 INNER JOIN orders AS T2 ON T1.orderNumber = T2.orderNumber WHERE T1.quantityOrdered < 30 AND STRFTIME('%Y', T2.orderDate) = '2003'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT SUM(T1.quantityOrdered * T1.priceEach) FROM orderdetails AS T1 INNER JOIN orders AS T2 ON T1.orderNumber = T2.orderNumber WHERE T2.status = 'Cancelled'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT SUM(T1.quantityOrdered * T1.priceEach) FROM orderdetails AS T1 INNER JOIN products AS T2 ON T1.productCode = T2.productCode WHERE T2.productLine = 'Motorcycles'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT COUNT(T1.productCode) FROM orderdetails AS T1 INNER JOIN products AS T2 ON T1.productCode = T2.productCode WHERE T2.productLine = 'Planes'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT COUNT(T1.productCode) FROM orderdetails AS T1 INNER JOIN products AS T2 ON T1.productCode = T2.productCode WHERE T2.MSRP - T2.buyPrice > 100; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT SUM(T2.quantityOrdered * T2.priceEach) / COUNT(T3.orderNumber) FROM products AS T1 INNER JOIN orderdetails AS T2 ON T1.productCode = T2.productCode INNER JOIN orders AS T3 ON T2.orderNumber = T3.orderNumber WHERE T1.productVendor = 'Exoto Designs' AND STRFTIME('%Y', T3.orderDate) = '2005'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT COUNT(officeCode) FROM employees WHERE jobTitle = 'Sales Rep' AND officeCode = 1; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT DISTINCT T2.customerName FROM payments AS T1 INNER JOIN customers AS T2 ON T1.customerNumber = T2.customerNumber WHERE T1.amount > 50000; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT SUM(T1.amount) FROM payments AS T1 INNER JOIN customers AS T2 ON T1.customerNumber = T2.customerNumber WHERE T2.country = 'USA'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT SUM(amount) FROM payments WHERE STRFTIME('%Y', paymentDate) = '2003' AND customerNumber IN ( SELECT customerNumber FROM customers WHERE creditLimit = 0 ); |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT T2.customerName, T2.phone FROM orders AS T1 INNER JOIN customers AS T2 ON T1.customerNumber = T2.customerNumber WHERE T1.status = 'Cancelled'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT COUNT(T2.country) FROM orders AS T1 INNER JOIN customers AS T2 ON T1.customerNumber = T2.customerNumber WHERE T1.status = 'Shipped' AND T2.country = 'France' GROUP BY T2.customerNumber HAVING COUNT(T1.status) = 2; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT SUM(T3.quantityOrdered * T3.priceEach) / COUNT(T2.orderNumber) FROM customers AS T1 INNER JOIN orders AS T2 ON T1.customerNumber = T2.customerNumber INNER JOIN orderdetails AS T3 ON T2.orderNumber = T3.orderNumber WHERE T2.status = 'Shipped' AND T1.country = 'Germany'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT T1.firstName, T1.lastName FROM employees AS T1 INNER JOIN offices AS T2 ON T1.officeCode = T2.officeCode WHERE T2.city = 'Tokyo'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT T1.firstName, T1.lastName, T1.email FROM employees AS T1 INNER JOIN offices AS T2 ON T1.officeCode = T2.officeCode WHERE T2.city = 'Tokyo' AND T1.jobTitle = 'Sales Rep'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT T1.email FROM employees AS T1 INNER JOIN offices AS T2 ON T1.officeCode = T2.officeCode WHERE T1.reportsTo = 1002 AND T2.city = 'San Francisco'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT T1.email, T1.employeeNumber FROM employees AS T1 INNER JOIN offices AS T2 ON T1.officeCode = T2.officeCode WHERE T2.state = 'MA' AND T2.country = 'USA'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT T1.email FROM employees AS T1 INNER JOIN offices AS T2 ON T1.officeCode = T2.officeCode WHERE T1.jobTitle LIKE '%Sales Manager%' AND T2.city = 'Sydney'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT T2.email, T3.country FROM customers AS T1 INNER JOIN employees AS T2 ON T1.salesRepEmployeeNumber = T2.employeeNumber INNER JOIN offices AS T3 ON T2.officeCode = T3.officeCode WHERE T3.country = 'Australia' AND T1.creditLimit < 200000 AND T2.jobTitle = 'Sales Rep'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT DISTINCT T2.email FROM customers AS T1 INNER JOIN employees AS T2 ON T1.salesRepEmployeeNumber = T2.employeeNumber WHERE T2.jobTitle = 'Sales Rep' AND T1.country = 'UK' ORDER BY T1.creditLimit LIMIT 10; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT COUNT(creditLimit) FROM customers WHERE creditLimit < 220000 AND country = 'Australia'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT customerNumber FROM payments ORDER BY amount DESC LIMIT 3; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT T1.email, T1.employeeNumber FROM employees AS T1 INNER JOIN offices AS T2 ON T1.officeCode = T2.officeCode WHERE T2.country = 'USA' AND T2.state = 'CA' GROUP BY T1.email, T1.officeCode; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT T1.firstName, T1.lastName FROM employees AS T1 INNER JOIN offices AS T2 ON T1.officeCode = T2.officeCode WHERE T2.city = 'Boston'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT T2.email FROM customers AS T1 INNER JOIN employees AS T2 ON T1.salesRepEmployeeNumber = T2.employeeNumber WHERE T2.jobTitle = 'Sales Rep' AND T1.country = 'UK' GROUP BY T1.customerName, T2.email ORDER BY SUM(T1.creditLimit) DESC LIMIT 3; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT COUNT(creditLimit) FROM customers WHERE creditLimit < 220000 AND country = 'Norway'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT T1.firstName, T1.lastName, T1.email FROM employees AS T1 INNER JOIN offices AS T2 ON T1.officeCode = T2.officeCode WHERE T2.city = 'Paris'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT productCode, quantityInStock FROM products WHERE productLine = 'Motorcycles' ORDER BY quantityInStock DESC LIMIT 5; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT COUNT(customerNumber) FROM customers WHERE creditLimit = 0 AND country = 'Germany'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT COUNT(customernumber) FROM ( SELECT customernumber FROM payments WHERE STRFTIME('%Y', paymentDate) >= '2003' AND STRFTIME('%Y', paymentDate) <= '2004' GROUP BY customernumber HAVING COUNT(customernumber) > 3 ) T; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT SUM(T1.priceEach - T2.buyPrice) / COUNT(*) FROM orderdetails AS T1 INNER JOIN products AS T2 ON T1.productCode = T2.productCode WHERE T2.productName = '1937 Lincoln Berline'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT T1.productName FROM products AS T1 INNER JOIN orderdetails AS T2 ON T1.productCode = T2.productCode INNER JOIN orders AS T3 ON T2.orderNumber = T3.orderNumber INNER JOIN customers AS T4 ON T3.customerNumber = T4.customerNumber WHERE T1.productLine = 'Motorcycles' AND T1.productScale = '1:10' AND T4.country = 'US... |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT T1.checkNumber FROM payments AS T1 INNER JOIN customers AS T2 ON T1.customerNumber = T2.customerNumber WHERE T1.paymentDate >= '2003-08-01' AND T1.paymentDate <= '2004-08-30' AND T2.customerName = 'Mini Gifts Distributors Ltd.'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT MAX(quantityOrdered * priceEach) - AVG(priceEach) FROM orderdetails WHERE productCode IN ( SELECT productCode FROM products WHERE productLine = 'Planes' ); |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT SUM(T2.priceEach * T2.quantityOrdered) FROM products AS T1 INNER JOIN orderdetails AS T2 ON T1.productCode = T2.productCode INNER JOIN orders AS T3 ON T2.orderNumber = T3.orderNumber WHERE T3.status = 'Shipped' AND T3.orderDate BETWEEN '2003-01-01' AND '2004-12-31'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT T1.firstName, T1.lastName, T1.reportsTo FROM employees AS T1 INNER JOIN customers AS T2 ON T1.employeeNumber = T2.salesRepEmployeeNumber INNER JOIN payments AS T3 ON T2.customerNumber = T3.customerNumber ORDER BY T3.amount DESC LIMIT 1; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT T2.productName, T1.quantityOrdered * T1.priceEach FROM orderdetails AS T1 INNER JOIN products AS T2 ON T1.productCode = T2.productCode INNER JOIN orders AS T3 ON T1.orderNumber = T3.orderNumber INNER JOIN customers AS T4 ON T3.customerNumber = T4.customerNumber WHERE T4.city = 'Boston' AND T4.salesRepEmployeeNum... |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT SUM(T2.priceEach - T1.buyPrice) FROM products AS T1 INNER JOIN orderdetails AS T2 ON T1.productCode = T2.productCode INNER JOIN orders AS T3 ON T2.orderNumber = T3.orderNumber INNER JOIN customers AS T4 ON T3.customerNumber = T4.customerNumber WHERE T3.orderDate > '2003-01-05' AND T3.orderDate < '2005-05-10'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT T3.addressLine1, T3.addressLine2, T3.phone FROM orderdetails AS T1 INNER JOIN orders AS T2 ON T1.orderNumber = T2.orderNumber INNER JOIN customers AS T3 ON T2.customerNumber = T3.customerNumber INNER JOIN employees AS T4 ON T3.salesRepEmployeeNumber = T4.employeeNumber INNER JOIN offices AS T5 ON T4.officeCode =... |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT phone FROM customers WHERE contactLastName LIKE 'M%' AND country != 'Germany'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT AVG(amount) FROM payments WHERE paymentDate BETWEEN '2004-01-01' AND '2004-06-30'; |
[INST] Here is a database schema:
offices :
officeCode [ TEXT ] primary_key
city [ TEXT ]
phone [ TEXT ]
addressLine1 [ TEXT ]
addressLine2 [ TEXT ]
state [ TEXT ]
country [ TEXT ]
postalCode [ TEXT ]
territory [ TEXT ]
employees :
employeeNumber [ INTEGER ] primary_key
lastName [ TEXT ]
firstName [ TEXT ]
extension [... | SELECT CAST(SUM(CASE WHEN customerNumber = 186 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(orderNumber) FROM orders WHERE status = 'Shipped' AND shippedDate BETWEEN '2005-01-01' AND '2005-12-31'; |
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