Split (2)

train · 8.41k rows

input stringlengths 193 2.69k	output stringlengths 24 744
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT T2.value, T2.units FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.date = '2008-03-11' AND T2.description = 'Body Height';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT SUM(CASE WHEN strftime('%Y', T2.date) = '2009' THEN T2.VALUE END) - SUM(CASE WHEN strftime('%Y', T2.date) = '2008' THEN T2.VALUE END) AS increase , T2.units FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description = 'Body Height'...
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT T2.value, T2.units FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description = 'Systolic Blood Pressure' ORDER BY T2.VALUE DESC LIMIT 1;
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT COUNT(T2.description) FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description = 'Systolic Blood Pressure';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T2.VALUE = ( SELECT MAX(VALUE) FROM observations WHERE description = 'Systolic Blood Pressure' ) LIMIT 1;
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT strftime('%J', T2.STOP) - strftime('%J', T2.START) AS days FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description LIKE 'Acetaminophen%';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT DISTINCT T2.description FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT T2.REASONDESCRIPTION FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description LIKE 'Acetaminophen%';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT T2.description FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.reasondescription = 'Streptococcal sore throat (disorder)';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.description LIKE 'Acetaminophen%';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT T2.description FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.START = '2009-01-08';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT strftime('%J', T2.STOP) - strftime('%J', T2.START) AS days FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description = 'Cystitis';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT AVG(T2.VALUE), T2.units FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description = 'Body Weight';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT CAST(SUM(CASE WHEN T1.marital = 'M' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.description = 'Cystitis';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT T2.description, T2.VALUE, T2.units FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mr.' AND T1.first = 'Vincent' AND T1.last = 'Wyman' AND T2.date = '2010-08-02' AND T2.description = 'Body Height';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT COUNT(T2.PATIENT) FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mrs.' AND T1.first = 'Norman' AND T1.last = 'Berge';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT T2.reasondescription FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mrs.' AND T1.first = 'Annabelle' AND T1.last = 'Pouros' AND T2.start = '1970-12-19' AND T2.description = 'Leucovorin 100 MG Injection';
[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 ] conditions : START [ DATE ] STOP [ DATE ] PATIENT [ TEXT ] conditions.PATIENT = patients.patient ENCOUNTER [...	SELECT DISTINCT T1."PREVALENCE PERCENTAGE" FROM all_prevalences AS T1 INNER JOIN conditions AS T2 ON lower(T1.ITEM) = lower(T2.DESCRIPTION) WHERE T2.code = '64859006';
[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 ] conditions : START [ DATE ] STOP [ DATE ] PATIENT [ TEXT ] conditions.PATIENT = patients.patient ENCOUNTER [...	SELECT DISTINCT T1."PREVALENCE RATE" FROM all_prevalences AS T1 INNER JOIN conditions AS T2 ON lower(T1.ITEM) = lower(T2.DESCRIPTION) WHERE T2.code = '368581000119106';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT DISTINCT T2.description FROM patients AS T1 INNER JOIN procedures AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Ms.' AND T1.first = 'Jacquelyn' AND T1.last = 'Shanahan' AND T2.DATE = '2009-08-09';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT COUNT(T2.BILLABLEPERIOD) FROM patients AS T1 INNER JOIN claims AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Ms.' AND T1.first = 'Abbie' AND T1.last = 'Cole' AND T2.BILLABLEPERIOD BETWEEN '2010-12-31' AND '2012-01-01';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT COUNT(DISTINCT T2.code) FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mrs.' AND T1.first = 'Saundra' AND T1.last = 'Monahan';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN claims AS T2 ON T1.patient = T2.PATIENT WHERE T2.billableperiod = '1947-09-11';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT T2.description FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mr.' AND T1.first = 'Hubert' AND T1.last = 'Baumbach' AND T2.date = '2008-10-25';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT T2.description FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Keven' AND T1.last = 'Kuhn' AND T2.start = '2016-09-24' AND T2.stop = '2016-10-10';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT T2.date FROM patients AS T1 INNER JOIN procedures AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mrs.' AND T1.first = 'Ira' AND T1.last = 'Deckow' AND T2.description = 'Standard pregnancy test';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT CAST(SUM(strftime('%J', T2.STOP) - strftime('%J', T2.START)) AS REAL) / COUNT(T1.patient) FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mr.' AND T1.first = 'Wesley' AND T1.last = 'Lemke';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT CAST(SUM(strftime('%J', T2.STOP) - strftime('%J', T2.START)) AS REAL) / COUNT(T2.PATIENT) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Ms.' AND T1.first = 'Angelena' AND T1.last = 'Kertzmann' AND T2.description = 'Normal pregnancy';
[INST] Here is a database schema: allergies : START [ TEXT ] STOP [ TEXT ] PATIENT [ TEXT ] allergies.PATIENT = patients.patient ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID CODE [ INTEGER ] DESCRIPTION [ TEXT ] Please write me a SQL statement that answers the following question: What is the id of the patien...	SELECT PATIENT FROM allergies WHERE STOP IS NOT NULL GROUP BY PATIENT ORDER BY CASE WHEN SUBSTR(STOP, -2, 1) != '9' THEN SUBSTR(STOP, LENGTH(STOP) - 1) + 2000 END - CASE WHEN SUBSTR(START, -2, 1) = '9' THEN SUBSTR(START, LENGTH(START) - 1) + 1900 ELSE SUBSTR(START, LENGTH(START) - 1) + 2000 END LIMIT 1;
[INST] Here is a database schema: conditions : START [ DATE ] STOP [ DATE ] PATIENT [ TEXT ] conditions.PATIENT = patients.patient ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID CODE [ INTEGER ] DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM Please write me a SQL statement that answers the...	SELECT COUNT(PATIENT) FROM conditions WHERE DESCRIPTION = 'Diabetes' AND strftime('%Y', START) = '1988';
[INST] Here is a database schema: allergies : START [ TEXT ] STOP [ TEXT ] PATIENT [ TEXT ] allergies.PATIENT = patients.patient ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID CODE [ INTEGER ] DESCRIPTION [ TEXT ] Please write me a SQL statement that answers the following question: How many patients are allerg...	SELECT COUNT(PATIENT) FROM allergies WHERE DESCRIPTION = 'Allergy to eggs';
[INST] Here is a database schema: conditions : START [ DATE ] STOP [ DATE ] PATIENT [ TEXT ] conditions.PATIENT = patients.patient ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID CODE [ INTEGER ] DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM Please write me a SQL statement that answers the...	SELECT PATIENT FROM conditions WHERE START = ( SELECT MAX(START) FROM conditions WHERE DESCRIPTION = 'Hypertension' );
[INST] Here is a database schema: allergies : START [ TEXT ] STOP [ TEXT ] PATIENT [ TEXT ] allergies.PATIENT = patients.patient ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID CODE [ INTEGER ] DESCRIPTION [ TEXT ] Please write me a SQL statement that answers the following question: What is the most common alle...	SELECT DESCRIPTION FROM allergies GROUP BY DESCRIPTION ORDER BY COUNT(DESCRIPTION) DESC LIMIT 1;
[INST] Here is a database schema: observations : DATE [ DATE ] PATIENT [ TEXT ] observations.PATIENT = patients.patient ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID CODE [ TEXT ] DESCRIPTION [ TEXT ] VALUE [ REAL ] UNITS [ TEXT ] Please write me a SQL statement that answers the following question: What is...	SELECT PATIENT FROM observations WHERE DESCRIPTION = 'Body Height' AND UNITS = 'cm' ORDER BY VALUE DESC LIMIT 1;
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT T2.DESCRIPTION FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.gender = 'F' AND T1.ethnicity = 'american' GROUP BY T2.DESCRIPTION ORDER BY COUNT(T2.DESCRIPTION) DESC LIMIT 1;
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Ibuprofen 200 MG Oral Tablet' AND T1.ethnicity = 'dominican' AND strftime('%Y', T2.START) = '2016' AND strftime('%m', T2.STOP) - strftime('%m', T2.START) = 1;
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE DESCRIPTION = 'Pneumonia' AND strftime('%Y', T1.birthdate) LIKE '192%';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT DISTINCT T1.first, T1.last, T1.suffix FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Yaz 28 Day Pack' AND strftime('%Y', T2.START) = '2011';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T1.race = 'black' AND T2.DESCRIPTION = 'DTaP' AND strftime('%Y', T2.DATE) = '2013';
[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 ] conditions : START [ DATE ] STOP [ DATE ] PATIENT [ TEXT ] conditions.PATIENT = patients.patient ENCOUNTER [...	SELECT COUNT(T2.patient) FROM all_prevalences AS T1 INNER JOIN conditions AS T2 ON lower(T1.ITEM) = lower(T2.DESCRIPTION) INNER JOIN immunizations AS T3 ON T2.PATIENT = T3.PATIENT GROUP BY T2.PATIENT ORDER BY T2.START DESC, T1."PREVALENCE RATE" 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 ] conditions : START [ DATE ] STOP [ DATE ] PATIENT [ TEXT ] conditions.PATIENT = patients.patient ENCOUNTER [...	SELECT COUNT(DISTINCT T2.patient) FROM all_prevalences AS T1 INNER JOIN conditions AS T2 ON lower(T1.ITEM) = lower(T2.DESCRIPTION) ORDER BY T1."PREVALENCE RATE" DESC LIMIT 1;
[INST] Here is a database schema: conditions : START [ DATE ] STOP [ DATE ] PATIENT [ TEXT ] conditions.PATIENT = patients.patient ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID CODE [ INTEGER ] DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM immunizations : DATE [ DATE ] PATIENT [ TEXT ] im...	SELECT T2.DESCRIPTION FROM immunizations AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.DESCRIPTION = 'Influenza seasonal injectable preservative free' GROUP BY T2.DESCRIPTION ORDER BY COUNT(T2.DESCRIPTION) 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 ] conditions : START [ DATE ] STOP [ DATE ] PATIENT [ TEXT ] conditions.PATIENT = patients.patient ENCOUNTER [...	SELECT DISTINCT T1.PATIENT FROM conditions AS T1 INNER JOIN all_prevalences AS T2 ON lower(T2.ITEM) = lower(T1.DESCRIPTION) WHERE T2."PREVALENCE PERCENTAGE" = CAST(18.8 AS float);
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT COUNT(DISTINCT T2.DESCRIPTION) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Tyree' AND T1.last = 'Eichmann';
[INST] Here is a database schema: conditions : START [ DATE ] STOP [ DATE ] PATIENT [ TEXT ] conditions.PATIENT = patients.patient ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID CODE [ INTEGER ] DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM immunizations : DATE [ DATE ] PATIENT [ TEXT ] im...	SELECT COUNT(DISTINCT T1.patient) FROM immunizations AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.DESCRIPTION = 'meningococcal MCV4P' AND T2.DESCRIPTION = 'Viral sinusitis (disorder)';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT COUNT(DISTINCT T2.patient) FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.gender = 'F' AND T1.DESCRIPTION = 'Prediabetes';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Body Mass Index' AND T2.UNITS = 'kg/m2' ORDER BY T2.VALUE LIMIT 1;
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT strftime('%Y', T2.deathdate) - strftime('%Y', T2.birthdate) AS age FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.first = 'Giovanni' AND T2.last = 'Russel' AND T1.DESCRIPTION = 'Hypertension';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT COUNT(DISTINCT T2.patient) FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'oxaliplatin 5 MG/ML [Eloxatin]' AND T2.race = 'asian' AND T2.gender = 'F';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT COUNT(DISTINCT T2.patient) FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.description = 'Stroke' AND T2.deathdate IS NULL;
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT COUNT(T2.patient) FROM allergies AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Allergy to peanuts' AND T2.race = 'asian';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT AVG(T1.VALUE) FROM observations AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient INNER JOIN conditions AS T3 ON T2.patient = T3.PATIENT WHERE T3.DESCRIPTION = 'Hypertension' AND T1.DESCRIPTION = 'Diastolic Blood Pressure';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT T1.DESCRIPTION FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.ssn = '999-94-3751';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT T2.ssn FROM allergies AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Allergy to grass pollen' AND T2.ethnicity = 'irish' AND T2.gender = 'F';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT T2.first, T2.last FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.CODE = 315043002;
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT T1.DESCRIPTION FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.deathdate IS NOT NULL ORDER BY strftime('%Y', T2.deathdate) - strftime('%Y', T2.birthdate) 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 ] conditions : START [ DATE ] STOP [ DATE ] PATIENT [ TEXT ] conditions.PATIENT = patients.patient ENCOUNTER [...	SELECT T2.code FROM all_prevalences AS T1 INNER JOIN conditions AS T2 ON T1.ITEM = T2.DESCRIPTION ORDER BY T1.OCCURRENCES DESC LIMIT 1;
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT DISTINCT T2.DESCRIPTION, T2.VALUE, T2.UNITS FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Glucose' AND T1.address = '365 Della Crossroad Suite 202 Deerfield MA 01342 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 T2.ssn FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient INNER JOIN all_prevalences AS T3 ON lower(T1.DESCRIPTION) = lower(T3.ITEM) WHERE CAST(T3."PREVALENCE PERCENTAGE" AS REAL) * 100 / ( SELECT AVG('PREVALENCE PERCENTAGE') FROM all_prevalences ) < 30 LIMIT 5;
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT CAST(SUM(CASE WHEN T2.gender = 'F' AND T2.race = 'asian' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.gender) FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Acute bronchitis (disorder)';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT COUNT(T2.ID) FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Major' AND T1.last = 'D''Amore';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT T2.DESCRIPTION FROM patients AS T1 INNER JOIN procedures AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Emmy' AND T1.last = 'Waelchi';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN procedures AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Extraction of wisdom tooth';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT T2.DESCRIPTION, T2.VALUE, T2.UNITS FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.DESCRIPTION = 'Body Weight';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Allergy to soya';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT COUNT(T2.CODE) FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Keven' AND T1.last = 'Kuhn' AND T2.DESCRIPTION = 'DTaP';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Clopidogrel 75 MG Oral Tablet' AND strftime('%Y', T2.STOP) - strftime('%Y', T2.START) > 10;
[INST] Here is a database schema: conditions : START [ DATE ] STOP [ DATE ] PATIENT [ TEXT ] conditions.PATIENT = patients.patient ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID CODE [ INTEGER ] DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM medications : START [ DATE ] STOP [ DATE ] PATIEN...	SELECT DISTINCT T1.DESCRIPTION, T3.DESCRIPTION FROM procedures AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT INNER JOIN medications AS T3 ON T2.patient = T3.PATIENT WHERE T2.DESCRIPTION = 'Third degree burn';
[INST] Here is a database schema: allergies : START [ TEXT ] STOP [ TEXT ] PATIENT [ TEXT ] allergies.PATIENT = patients.patient ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID CODE [ INTEGER ] DESCRIPTION [ TEXT ] medications : START [ DATE ] STOP [ DATE ] PATIENT [ TEXT ] medications.PATIENT = patients.patient...	SELECT T2.DESCRIPTION FROM allergies AS T1 INNER JOIN medications AS T2 ON T1.PATIENT = T2.PATIENT WHERE T1.START = '6/6/16' AND T1.DESCRIPTION = 'Allergy to mould';
[INST] Here is a database schema: careplans : ID [ TEXT ] START [ DATE ] STOP [ DATE ] PATIENT [ TEXT ] careplans.PATIENT = patients.patient ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID CODE [ REAL ] DESCRIPTION [ TEXT ] REASONCODE [ INTEGER ] REASONDESCRIPTION [ TEXT ] conditions : START [ DATE ] STOP [ DATE...	SELECT DISTINCT T1.DESCRIPTION FROM careplans AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Secondary malignant neoplasm of colon';
[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 ] conditions : START [ DATE ] STOP [ DATE ] PATIENT [ TEXT ] conditions.PATIENT = patients.patient ENCOUNTER [...	SELECT T2."PREVALENCE RATE" FROM conditions AS T1 INNER JOIN all_prevalences AS T2 ON lower(T1.DESCRIPTION) = lower(T2.ITEM) WHERE T1.START = '2014-05-09';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT T2.first, T2.last , CASE WHEN T2.deathdate IS NULL THEN strftime('%Y', T1.DATE) - strftime('%Y', T2.birthdate) ELSE strftime('%Y', T2.deathdate) - strftime('%Y', T2.birthdate) END AS age FROM observations AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Systolic Blood Pressure' ...
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT CAST(SUM(CASE WHEN T2.DESCRIPTION = 'Influenza seasonal injectable preservative free' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.patient), SUM(CASE WHEN T1.ethnicity = 'english' THEN 1 ELSE 0 END) FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE strftime('%Y', T2.DATE) = '201...
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT DISTINCT T1.first FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T2.REASONDESCRIPTION = 'Normal pregnancy';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT DISTINCT T1.birthdate FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Outpatient Encounter';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT DISTINCT T1.first FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Cystitis';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Stroke' AND T1.marital = 'M';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT DISTINCT T1.address FROM patients AS T1 INNER JOIN claims AS T2 ON T1.patient = T2.PATIENT WHERE T2.BILLABLEPERIOD LIKE '2010%';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT DISTINCT T1.last FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Allergy to dairy product';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT T2.START FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Adolfo' AND T1.last = 'Schmitt' AND T2.STOP IS NOT NULL;
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'House dust mite allergy' AND T1.gender = 'M';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT T2.DESCRIPTION FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T1.race = 'white' GROUP BY T2.DESCRIPTION ORDER BY COUNT(T2.DESCRIPTION) DESC LIMIT 1;
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Influenza seasonal injectable preservative free';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ 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 = 'F';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT DISTINCT T2.DESCRIPTION FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.birthplace = 'Pittsfield MA US';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT COUNT(DISTINCT T2.DESCRIPTION) FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T1.ethnicity = 'german';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT CAST(SUM(CASE WHEN T1.deathdate IS NULL THEN strftime('%Y', T2.STOP) - strftime('%Y', T1.birthdate) ELSE strftime('%Y', T1.deathdate) - strftime('%Y', T1.birthdate) END) AS REAL) / COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T2.REASONDESCRIPTION = 'P...
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT COUNT(DISTINCT T2.patient) FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.REASONDESCRIPTION = 'Coronary Heart Disease' AND T1.STOP IS NOT NULL AND T2.deathdate IS NULL;
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN procedures AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Bone immobilization' AND T1.drivers IS NOT NULL;
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT GROUP BY T1.patient ORDER BY COUNT(DISTINCT T2.DESCRIPTION) > 3;
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT COUNT(DISTINCT T2.patient) FROM allergies AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient INNER JOIN immunizations AS T3 ON T2.patient = T3.PATIENT WHERE T1.DESCRIPTION = 'Allergy to eggs' AND T3.DESCRIPTION = 'Td (adult) preservative free';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT COUNT(DISTINCT T2.patient) FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient INNER JOIN observations AS T3 ON T2.patient = T3.PATIENT WHERE T3.DESCRIPTION = 'Body Weight' AND T1.DESCRIPTION = 'Diabetes self management plan' AND T3.VALUE > 100 AND T3.UNITS = 'kg';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT T1.gender FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Dander (animal) allergy' GROUP BY T1.gender ORDER BY COUNT(T1.gender) DESC LIMIT 1;
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT DISTINCT T2.BILLABLEPERIOD FROM patients AS T1 INNER JOIN claims AS T2 ON T1.patient = T2.PATIENT WHERE T1.last = 'Dickinson';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Otitis media';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.REASONDESCRIPTION = 'Myocardial Infarction' AND T1.ethnicity = 'irish';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.marital = 'M' AND T2.REASONDESCRIPTION = 'Concussion with loss of consciousness';
[INST] Here is a database schema: careplans : ID [ TEXT ] START [ DATE ] STOP [ DATE ] PATIENT [ TEXT ] careplans.PATIENT = patients.patient ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID CODE [ REAL ] DESCRIPTION [ TEXT ] REASONCODE [ INTEGER ] REASONDESCRIPTION [ TEXT ] immunizations : DATE [ DATE ] PATIENT [...	SELECT COUNT(DISTINCT T1.patient) FROM careplans AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'rotavirus monovalent' AND T1.STOP = '2013-11-23';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Nitroglycerin 0.4 MG/ACTUAT [Nitrolingual]' AND T1.gender = 'F';
[INST] Here is a database schema: patients : patient [ TEXT ] primary_key birthdate [ DATE ] deathdate [ DATE ] ssn [ TEXT ] drivers [ TEXT ] passport [ TEXT ] prefix [ TEXT ] first [ TEXT ] last [ TEXT ] suffix [ TEXT ] maiden [ TEXT ] marital [ TEXT ] race [ TEXT ] ethnicity [ TEXT ] gender [ TEXT ] birthplace [ TEXT...	SELECT CAST(SUM(CASE WHEN T2.DESCRIPTION = 'Allergy to grass pollen' THEN 1 ELSE 0 END) AS REL) * 100 / COUNT(T1.patient) FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T1.birthplace = 'Pembroke MA US';

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