instruction stringlengths 11 446 | input stringlengths 195 2.3k | response stringlengths 26 460 |
|---|---|---|
how many patients have the drug code gent60pm? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.formulary_drug_cd = "GENT60PM" |
what number of patients with squamous cell carcinoma oral tongue/sda had the procedure titled opn mitral valvuloplasty? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.diagnosis = "SQUAMOUS CELL CARCINOMA ORAL TONGUE/SDA" AND procedures.short_title = "Opn mitral valvuloplasty" |
find the gender of subject id 6983. | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescription... | SELECT demographic.gender FROM demographic WHERE demographic.subject_id = "6983" |
get me the number of patients on iv route of drug administration who are diagnosed with closed fracture of surgical neck of humerus. | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Fx surg nck humerus-clos" AND prescriptions.route = "IV" |
what is the diagnosis icd9 code and diagnosis short title of subject id 43220? | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT diagnoses.icd9_code, diagnoses.short_title FROM diagnoses WHERE diagnoses.subject_id = "43220" |
what is the admission type and procedure long title of the patient id 7273? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
... | SELECT demographic.admission_type, procedures.long_title FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.subject_id = "7273" |
List the names of aircrafts and the number of times it won matches Plot them as bar chart, and order by the X-axis in descending. | CREATE TABLE aircraft (
Aircraft_ID int(11),
Aircraft varchar(50),
Description varchar(50),
Max_Gross_Weight varchar(50),
Total_disk_area varchar(50),
Max_disk_Loading varchar(50)
)
CREATE TABLE pilot (
Pilot_Id int(11),
Name varchar(50),
Age int(11)
)
CREATE TABLE airport_aircraft... | SELECT Aircraft, COUNT(*) FROM aircraft AS T1 JOIN match AS T2 ON T1.Aircraft_ID = T2.Winning_Aircraft GROUP BY T2.Winning_Aircraft ORDER BY Aircraft DESC |
what is the number of patients whose discharge location is home and procedure long title is endoscopic sphincterotomy and papillotomy? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.discharge_location = "HOME" AND procedures.long_title = "Endoscopic sphincterotomy and papillotomy" |
what is marital status and death status of subject id 98220? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
... | SELECT demographic.marital_status, demographic.expire_flag FROM demographic WHERE demographic.subject_id = "98220" |
Visualize a bar chart for simply show the department of the employee and the corresponding salary. | CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(2... | SELECT DEPARTMENT_NAME, SALARY FROM employees AS T1 JOIN departments AS T2 ON T1.DEPARTMENT_ID = T2.DEPARTMENT_ID WHERE T1.EMPLOYEE_ID = T2.MANAGER_ID |
what is average age of patients whose ethnicity is white and admission year is greater than or equal to 2123? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
... | SELECT AVG(demographic.age) FROM demographic WHERE demographic.ethnicity = "WHITE" AND demographic.admityear >= "2123" |
For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, visualize a bar chart about the distribution of hire_date and the amount of hire_date bin hire_date by weekday. | CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NA... | SELECT HIRE_DATE, COUNT(HIRE_DATE) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 |
Find the number of patients who passed away in or before 2132 and have 51067 as the lab test item id. | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescription... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dod_year <= "2132.0" AND lab.itemid = "51067" |
give the number of patients whose drug code is csa50i and lab test fluid is ascites. | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE prescriptions.formulary_drug_cd = "CSA50I" AND lab.fluid = "Ascites" |
what are all the different product names, and how many complains has each received?, rank in asc by the Y-axis. | CREATE TABLE Products (
product_id INTEGER,
parent_product_id INTEGER,
product_category_code VARCHAR(20),
date_product_first_available DATETIME,
date_product_discontinued DATETIME,
product_name VARCHAR(80),
product_description VARCHAR(255),
product_price DECIMAL(19,4)
)
CREATE TABLE Com... | SELECT product_name, COUNT(*) FROM Products AS t1 JOIN Complaints AS t2 ON t1.product_id = t2.product_id GROUP BY t1.product_name ORDER BY COUNT(*) |
what is the number of patients whose days of hospital stay is greater than 5 and diagnoses long title is phlebitis and thrombophlebitis of superficial veins of upper extremities? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.days_stay > "5" AND diagnoses.long_title = "Phlebitis and thrombophlebitis of superficial veins of upper extremities" |
Show all the activity names and the number of faculty involved in each activity. | CREATE TABLE faculty (
facid number,
lname text,
fname text,
rank text,
sex text,
phone number,
room text,
building text
)
CREATE TABLE faculty_participates_in (
facid number,
actid number
)
CREATE TABLE activity (
actid number,
activity_name text
)
CREATE TABLE studen... | SELECT T1.activity_name, COUNT(*) FROM activity AS T1 JOIN faculty_participates_in AS T2 ON T1.actid = T2.actid GROUP BY T1.actid |
give the number of patients whose admission location is trsf within this facility and procedure icd9 code is 8847. | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_location = "TRSF WITHIN THIS FACILITY" AND procedures.icd9_code = "8847" |
What is the number of patients who had osmolality and measured lab test and were discharged to skilled nursing facility? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic ... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.discharge_location = "REHAB/DISTINCT PART HOSP" AND lab.label = "Osmolality, Measured" |
What are the names of catalog entries with level number 8, and count them by a pie chart | CREATE TABLE Attribute_Definitions (
attribute_id INTEGER,
attribute_name VARCHAR(30),
attribute_data_type VARCHAR(10)
)
CREATE TABLE Catalog_Contents (
catalog_entry_id INTEGER,
catalog_level_number INTEGER,
parent_entry_id INTEGER,
previous_entry_id INTEGER,
next_entry_id INTEGER,
... | SELECT catalog_entry_name, COUNT(catalog_entry_name) FROM Catalog_Contents AS t1 JOIN Catalog_Contents_Additional_Attributes AS t2 ON t1.catalog_entry_id = t2.catalog_entry_id WHERE t2.catalog_level_number = "8" GROUP BY catalog_entry_name |
List all tips for ' Cafe Zinho ' in Pennsylvania in 2010 . | CREATE TABLE neighborhood (
id int,
business_id varchar,
neighborhood_name varchar
)
CREATE TABLE category (
id int,
business_id varchar,
category_name varchar
)
CREATE TABLE business (
bid int,
business_id varchar,
name varchar,
full_address varchar,
city varchar,
lati... | SELECT tip.text FROM business, tip WHERE business.name = 'Cafe Zinho' AND business.state = 'Pennsylvania' AND tip.business_id = business.business_id AND tip.year = 2010 |
Semantic Parsing papers by Li Dong | CREATE TABLE paper (
paperid int,
title varchar,
venueid int,
year int,
numciting int,
numcitedby int,
journalid int
)
CREATE TABLE paperkeyphrase (
paperid int,
keyphraseid int
)
CREATE TABLE paperdataset (
paperid int,
datasetid int
)
CREATE TABLE field (
fieldid int... | SELECT DISTINCT author.authorid, paper.paperid FROM author, keyphrase, paper, paperkeyphrase, writes WHERE author.authorname = 'Li Dong' AND keyphrase.keyphrasename = 'Semantic Parsing' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid AND writes.authorid = author.authori... |
Calculate the total number of patients who had a heart valve replaced by transplant and got treated with base drug | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob te... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.long_title = "Heart valve replaced by transplant" AND prescriptions.drug_type = "BASE" |
What are the id of each employee and the number of document destroyed by that employee. Visualize by scatter chart. | CREATE TABLE Employees (
Employee_ID INTEGER,
Role_Code CHAR(15),
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1),
Date_of_Birth DATETIME,
Other_Details VARCHAR(255)
)
CREATE TABLE All_Documents (
Document_ID INTEGER,
Date_Stored DATETIME,
Document_Type_Code CHAR(15),
Document_Na... | SELECT Destroyed_by_Employee_ID, COUNT(*) FROM Documents_to_be_Destroyed GROUP BY Destroyed_by_Employee_ID |
How many courses are provided in each year? Visualize with a group line chart grouping by semester, I want to order X from in desc order. | CREATE TABLE section (
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0),
building varchar(15),
room_number varchar(7),
time_slot_id varchar(4)
)
CREATE TABLE takes (
ID varchar(5),
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
... | SELECT year, COUNT(*) FROM section GROUP BY semester ORDER BY year DESC |
count the number of patients who were admitted before the year 2150 with the lab test category blood gas. | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2150" AND lab."CATEGORY" = "Blood Gas" |
For those employees who do not work in departments with managers that have ids between 100 and 200, find email and commission_pct , and visualize them by a bar chart. | CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NA... | SELECT EMAIL, COMMISSION_PCT FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) |
Draw a pie chart for how many classes are held in each department? | CREATE TABLE ENROLL (
CLASS_CODE varchar(5),
STU_NUM int,
ENROLL_GRADE varchar(50)
)
CREATE TABLE PROFESSOR (
EMP_NUM int,
DEPT_CODE varchar(10),
PROF_OFFICE varchar(50),
PROF_EXTENSION varchar(4),
PROF_HIGH_DEGREE varchar(5)
)
CREATE TABLE EMPLOYEE (
EMP_NUM int,
EMP_LNAME var... | SELECT DEPT_CODE, COUNT(*) FROM CLASS AS T1 JOIN COURSE AS T2 ON T1.CRS_CODE = T2.CRS_CODE GROUP BY DEPT_CODE |
how many patients whose admission type is urgent and procedure short title is hemodialysis? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "URGENT" AND procedures.short_title = "Hemodialysis" |
Find the number of records of each policy type and its type code. Visualize by bar chart. | CREATE TABLE Claims_Processing (
Claim_Processing_ID INTEGER,
Claim_ID INTEGER,
Claim_Outcome_Code CHAR(15),
Claim_Stage_ID INTEGER,
Staff_ID INTEGER
)
CREATE TABLE Policies (
Policy_ID INTEGER,
Customer_ID INTEGER,
Policy_Type_Code CHAR(15),
Start_Date DATETIME,
End_Date DATETI... | SELECT Policy_Type_Code, COUNT(*) FROM Policies GROUP BY Policy_Type_Code |
find the number of medicaid patients who had transplant from live non-related donor. | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Medicaid" AND procedures.long_title = "Transplant from live non-related donor" |
give me the number of patients whose admission location is clinic referral/premature and diagnoses long title is idiopathic normal pressure hydrocephalus (inph)? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_location = "CLINIC REFERRAL/PREMATURE" AND diagnoses.long_title = "Idiopathic normal pressure hydrocephalus (INPH)" |
In what scholarly journals does Takashi Matsumoto publish ? | CREATE TABLE author (
authorid int,
authorname varchar
)
CREATE TABLE paperfield (
fieldid int,
paperid int
)
CREATE TABLE paper (
paperid int,
title varchar,
venueid int,
year int,
numciting int,
numcitedby int,
journalid int
)
CREATE TABLE field (
fieldid int
)
CREA... | SELECT DISTINCT paper.journalid FROM author, paper, writes WHERE author.authorname = 'Takashi Matsumoto' AND writes.authorid = author.authorid AND writes.paperid = paper.paperid GROUP BY paper.journalid |
how many inpatient hospital admission patients have prescription for gentamicin medication? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_location = "TRANSFER FROM HOSP/EXTRAM" AND prescriptions.drug = "Gentamicin" |
what is death status and admission location of subject id 42067? | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT demographic.expire_flag, demographic.admission_location FROM demographic WHERE demographic.subject_id = "42067" |
how many patients are diagnosed with primary disease acidosis and are below 79 years of age? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "ACIDOSIS" AND demographic.age < "79" |
what is average age of patients whose primary disease is sepsis and age is greater than or equal to 72? | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT AVG(demographic.age) FROM demographic WHERE demographic.diagnosis = "SEPSIS" AND demographic.age >= "72" |
give me the number of patients whose year of death is less than or equal to 2165 and item id is 50967? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dod_year <= "2165.0" AND lab.itemid = "50967" |
get me the number of patients with procedure icd9 code 8854 who were admitted before the year 2170. | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admityear < "2170" AND procedures.icd9_code = "8854" |
what is the gender and admission time of the patient id 87275? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,... | SELECT demographic.gender, demographic.admittime FROM demographic WHERE demographic.subject_id = "87275" |
mention the type of insurance and admission location of subject id 15898. | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob te... | SELECT demographic.insurance, demographic.admission_location FROM demographic WHERE demographic.subject_id = "15898" |
Which patients have lora2i? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.formulary_drug_cd = "LORA2I" |
how many patients aged below 56 years had bowel obstruction as the primary disease? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "BOWEL OBSTRUCTION" AND demographic.age < "56" |
how many patients are diagnosed with shock unspecified and administered through buccal drug route? | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.long_title = "Shock, unspecified" AND prescriptions.route = "BUCCAL" |
what number of patients diagnosed with primary disease as congestive heart failure had the drug route as pb? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.diagnosis = "CONGESTIVE HEART FAILURE" AND prescriptions.route = "PB" |
how many patients whose drug code is lans30st and lab test fluid is cerebrospinal fluid (csf)? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic ... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE prescriptions.formulary_drug_cd = "LANS30ST" AND lab.fluid = "Cerebrospinal Fluid (CSF)" |
find the number of patients who died on or before 2174 and had other body fluid lab test. | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dod_year <= "2174.0" AND lab.fluid = "Other Body Fluid" |
List the positions of players whose average number of points scored by that position is larger than 20, compare the number of positions, and I want to rank in asc by the the number of position. | CREATE TABLE competition (
Competition_ID int,
Year real,
Competition_type text,
Country text
)
CREATE TABLE club_rank (
Rank real,
Club_ID int,
Gold real,
Silver real,
Bronze real,
Total real
)
CREATE TABLE player (
Player_ID int,
name text,
Position text,
Club... | SELECT Position, COUNT(Position) FROM player GROUP BY Position HAVING AVG(Points) >= 20 ORDER BY COUNT(Position) |
Provide the number of patients diagnosed with unspecified acute upper respiratory tract infection who had an ascitic fluid lab test. | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Acute uri NOS" AND lab.fluid = "Ascites" |
For those employees who did not have any job in the past, give me the comparison about the sum of employee_id over the hire_date bin hire_date by weekday, list total number of employee id from high to low order. | CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
... | SELECT HIRE_DATE, SUM(EMPLOYEE_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY SUM(EMPLOYEE_ID) DESC |
Show me a bar chart for what are the draft pick numbers and draft classes for players who play the Defender position?, and list from low to high by the y axis please. | CREATE TABLE player (
Player_ID int,
Player text,
Years_Played text,
Total_WL text,
Singles_WL text,
Doubles_WL text,
Team int
)
CREATE TABLE match_season (
Season real,
Player text,
Position text,
Country int,
Team int,
Draft_Pick_Number int,
Draft_Class text,
... | SELECT Draft_Class, Draft_Pick_Number FROM match_season WHERE Position = "Defender" ORDER BY Draft_Pick_Number |
give me the number of patients whose age is less than 80 and drug name is cefpodoxime proxetil? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob te... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "80" AND prescriptions.drug = "Cefpodoxime Proxetil" |
what is average age of patients whose discharge location is home health care and primary disease is angioedema? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
... | SELECT AVG(demographic.age) FROM demographic WHERE demographic.discharge_location = "HOME HEALTH CARE" AND demographic.diagnosis = "ANGIOEDEMA" |
What are the name and typical buying and selling prices of the products that have color described as 'yellow'? | CREATE TABLE products (
product_id number,
color_code text,
product_category_code text,
product_name text,
typical_buying_price text,
typical_selling_price text,
product_description text,
other_product_details text
)
CREATE TABLE characteristics (
characteristic_id number,
chara... | SELECT t1.product_name, t1.typical_buying_price, t1.typical_selling_price FROM products AS t1 JOIN ref_colors AS t2 ON t1.color_code = t2.color_code WHERE t2.color_description = "yellow" |
how many patients marital status is divorced and tested with folate in lab? | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.marital_status = "DIVORCED" AND lab.label = "Folate" |
How many papers does Graham Neubig have in TACL | CREATE TABLE dataset (
datasetid int,
datasetname varchar
)
CREATE TABLE journal (
journalid int,
journalname varchar
)
CREATE TABLE paperdataset (
paperid int,
datasetid int
)
CREATE TABLE paper (
paperid int,
title varchar,
venueid int,
year int,
numciting int,
numci... | SELECT DISTINCT COUNT(paper.paperid) FROM author, paper, venue, writes WHERE author.authorname = 'Graham Neubig' AND venue.venueid = paper.venueid AND venue.venuename = 'TACL' AND writes.authorid = author.authorid AND writes.paperid = paper.paperid |
what is days of hospital stay of subject name steven sepulveda? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (... | SELECT demographic.days_stay FROM demographic WHERE demographic.name = "Steven Sepulveda" |
Calculate the minimum age of patients who had coronary artery disease or a coronary artery bypass graft had myomectomy/sda as their primary disease and died before the year 2138 | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
... | SELECT MIN(demographic.age) FROM demographic WHERE demographic.diagnosis = "CORONARY ARTERY DISEASE\CORONARY ARTERY BYPASS GRAFT; MYOMECTOMY/SDA" AND demographic.dod_year < "2138.0" |
how many patients were admitted in emergency primarily for brain mass; intracranial hemorrhage ? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (... | SELECT AVG(demographic.age) FROM demographic WHERE demographic.admission_type = "EMERGENCY" AND demographic.diagnosis = "BRAIN MASS;INTRACRANIAL HEMORRHAGE" |
How many enrolment students in each day? Return a bar chart binning date of enrolment by weekday, and list y axis from low to high order. | CREATE TABLE Course_Authors_and_Tutors (
author_id INTEGER,
author_tutor_ATB VARCHAR(3),
login_name VARCHAR(40),
password VARCHAR(40),
personal_name VARCHAR(80),
middle_name VARCHAR(80),
family_name VARCHAR(80),
gender_mf VARCHAR(1),
address_line_1 VARCHAR(80)
)
CREATE TABLE Subject... | SELECT date_of_enrolment, COUNT(date_of_enrolment) FROM Student_Course_Enrolment ORDER BY COUNT(date_of_enrolment) |
Show sum transaction amount from each transaction type, could you order in ascending by the X? | CREATE TABLE Customers (
customer_id INTEGER,
customer_first_name VARCHAR(50),
customer_middle_initial VARCHAR(1),
customer_last_name VARCHAR(50),
gender VARCHAR(1),
email_address VARCHAR(255),
login_name VARCHAR(80),
login_password VARCHAR(20),
phone_number VARCHAR(255),
town_ci... | SELECT transaction_type, SUM(transaction_amount) FROM Financial_Transactions GROUP BY transaction_type ORDER BY transaction_type |
patients with active or clinically significant conditions affecting absorption, distribution or metabolism of the study medication ( e.g., inflammatory bowel disease, gastric or duodenal ulcers or severe lactose intolerance ) . | CREATE TABLE table_train_131 (
"id" int,
"thyroid_disease" bool,
"pulmonary_disease" bool,
"right_bundle_branch_block" bool,
"allergy_to_piperidine_derivatives" bool,
"obstructive_pulmonary_disease" bool,
"inflammatory_bowel_disease" bool,
"renal_disease" bool,
"hepatic_disease" bool... | SELECT * FROM table_train_131 WHERE absorption = 1 OR distribution = 1 OR metabolism = 1 OR (inflammatory_bowel_disease = 1 OR gastric = 1 OR duodenal_ulcers = 1 OR lactose_intolerance = 1) |
How many parties of the time they took office, binning the left office into Weekday interval, and then split by the minister's name, and rank by the how many left office in descending. | CREATE TABLE party_events (
Event_ID int,
Event_Name text,
Party_ID int,
Member_in_charge_ID int
)
CREATE TABLE member (
Member_ID int,
Member_Name text,
Party_ID text,
In_office text
)
CREATE TABLE party (
Party_ID int,
Minister text,
Took_office text,
Left_office text... | SELECT Left_office, COUNT(Left_office) FROM party GROUP BY Minister ORDER BY COUNT(Left_office) DESC |
Does it have something interesting about the manager id and the salary? Show me a scatter chart first. | CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE regions (
REGION_... | SELECT T1.SALARY, T1.MANAGER_ID FROM employees AS T1 JOIN departments AS T2 ON T1.DEPARTMENT_ID = T2.DEPARTMENT_ID WHERE T1.EMPLOYEE_ID = T2.MANAGER_ID |
how many patients whose age is less than 67 and year of death is less than or equal to 2122? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.age < "67" AND demographic.dod_year <= "2122.0" |
how many patients below the age of 62 have drug code furo40i? | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "62" AND prescriptions.formulary_drug_cd = "FURO40I" |
Find the number of courses offered by Psychology department in each year with a line chart, could you sort by the year in asc? | CREATE TABLE takes (
ID varchar(5),
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0),
grade varchar(2)
)
CREATE TABLE course (
course_id varchar(8),
title varchar(50),
dept_name varchar(20),
credits numeric(2,0)
)
CREATE TABLE section (
course... | SELECT year, COUNT(year) FROM course AS T1 JOIN section AS T2 ON T1.course_id = T2.course_id WHERE T1.dept_name = 'Psychology' GROUP BY year ORDER BY year |
What's the change over same quarter the previous year in the period when the 89.6% of the trains arrive within 5 minutes of scheduled time (over three months)? | CREATE TABLE table_1636 (
"Period" text,
"% trains arriving within 5 mins of scheduled time (over three months)" text,
"Change over same quarter the previous year" text,
"% trains arriving within 5 mins of scheduled time Moving Annual Average (MAA)" text,
"Change over previous year as a whole" text
... | SELECT "Change over same quarter the previous year" FROM table_1636 WHERE "% trains arriving within 5 mins of scheduled time (over three months)" = '89.6%' |
how many patients whose admission type is emergency and diagnoses icd9 code is 56210? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND diagnoses.icd9_code = "56210" |
How many patients who had incision of vessel (aorta) have an unspecified death status? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.expire_flag = "0" AND procedures.long_title = "Incision of vessel, aorta" |
give me the number of patients whose admission location is clinic referral/premature and year of birth is less than 2112? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "CLINIC REFERRAL/PREMATURE" AND demographic.dob_year < "2112" |
what is the number of patients whose year of death is less than or equal to 2155 and procedure icd9 code is 45? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.dod_year <= "2155.0" AND procedures.icd9_code = "45" |
how many patients whose death status is 1 and drug name is metolazone? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.expire_flag = "1" AND prescriptions.drug = "Metolazone" |
What are the details of the lots which are not used in any transactions? | CREATE TABLE sales (
sales_transaction_id number,
sales_details text
)
CREATE TABLE investors (
investor_id number,
investor_details text
)
CREATE TABLE purchases (
purchase_transaction_id number,
purchase_details text
)
CREATE TABLE transactions (
transaction_id number,
investor_id n... | SELECT lot_details FROM lots EXCEPT SELECT T1.lot_details FROM lots AS T1 JOIN transactions_lots AS T2 ON T1.lot_id = T2.lot_id |
count the number of patients whose death status is 0 and year of birth is less than 2114? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.expire_flag = "0" AND demographic.dob_year < "2114" |
Show all the faculty ranks and the number of students advised by each rank. | CREATE TABLE activity (
actid number,
activity_name text
)
CREATE TABLE participates_in (
stuid number,
actid number
)
CREATE TABLE faculty_participates_in (
facid number,
actid number
)
CREATE TABLE student (
stuid number,
lname text,
fname text,
age number,
sex text,
... | SELECT T1.rank, COUNT(*) FROM faculty AS T1 JOIN student AS T2 ON T1.facid = T2.advisor GROUP BY T1.rank |
what is the number of patients whose insurance is private and admission year is less than 2165? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.insurance = "Private" AND demographic.admityear < "2165" |
how many patients are primarily suffering from brain mass; intracranial hemorrhage and their lab test fluid is urine? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob te... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.diagnosis = "BRAIN MASS;INTRACRANIAL HEMORRHAGE" AND lab.fluid = "Urine" |
Find the number of customers that use email as the contact channel for each weekday Visualize with a bar chart, order from low to high by the Y-axis please. | CREATE TABLE Customer_Addresses (
customer_id INTEGER,
address_id INTEGER,
date_address_from DATETIME,
address_type VARCHAR(15),
date_address_to DATETIME
)
CREATE TABLE Products (
product_id INTEGER,
product_details VARCHAR(255)
)
CREATE TABLE Customers (
customer_id INTEGER,
payme... | SELECT active_from_date, COUNT(active_from_date) FROM Customers AS t1 JOIN Customer_Contact_Channels AS t2 ON t1.customer_id = t2.customer_id WHERE t2.channel_code = 'Email' ORDER BY COUNT(active_from_date) |
For all employees who have the letters D or S in their first name, give me the trend about manager_id over hire_date , display HIRE_DATE from low to high order. | CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(... | SELECT HIRE_DATE, MANAGER_ID FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY HIRE_DATE |
how many parsing papers did ACL 2014 have ? | CREATE TABLE paperkeyphrase (
paperid int,
keyphraseid int
)
CREATE TABLE paperfield (
fieldid int,
paperid int
)
CREATE TABLE venue (
venueid int,
venuename varchar
)
CREATE TABLE journal (
journalid int,
journalname varchar
)
CREATE TABLE cite (
citingpaperid int,
citedpape... | SELECT DISTINCT paper.paperid FROM keyphrase, paper, paperkeyphrase, venue WHERE keyphrase.keyphrasename = 'parsing' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid AND paper.year = 2014 AND venue.venueid = paper.venueid AND venue.venuename = 'ACL' |
how many patients have stayed in the hospital for more than 16 days with a globulin lab test done? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.days_stay > "16" AND lab.label = "Globulin" |
For those employees who do not work in departments with managers that have ids between 100 and 200, return a bar chart about the distribution of hire_date and the sum of department_id bin hire_date by time, and I want to sort Y in asc order please. | CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JO... | SELECT HIRE_DATE, SUM(DEPARTMENT_ID) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY SUM(DEPARTMENT_ID) |
give me the number of patients whose diagnoses short title is ac posthemorrhag anemia and drug route is ng? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Ac posthemorrhag anemia" AND prescriptions.route = "NG" |
What is the name of the instructor who advises the student with the greatest number of total credits? | CREATE TABLE instructor (
id text,
name text,
dept_name text,
salary number
)
CREATE TABLE takes (
id text,
course_id text,
sec_id text,
semester text,
year number,
grade text
)
CREATE TABLE course (
course_id text,
title text,
dept_name text,
credits number
)
... | SELECT T2.name FROM advisor AS T1 JOIN instructor AS T2 ON T1.i_id = T2.id JOIN student AS T3 ON T1.s_id = T3.id ORDER BY T3.tot_cred DESC LIMIT 1 |
what is the number of patients whose age is less than 61 and drug route is im? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "61" AND prescriptions.route = "IM" |
what is average age of patients whose marital status is single and admission year is greater than or equal to 2154? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
... | SELECT AVG(demographic.age) FROM demographic WHERE demographic.marital_status = "SINGLE" AND demographic.admityear >= "2154" |
For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, give me the comparison about the sum of employee_id over the job_id , and group by attribute job_id, and could you show in desc by the names? | CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0... | SELECT JOB_ID, SUM(EMPLOYEE_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 GROUP BY JOB_ID ORDER BY JOB_ID DESC |
mention the drug type and route of the drug code onda4i. | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
C... | SELECT prescriptions.drug_type, prescriptions.route FROM prescriptions WHERE prescriptions.formulary_drug_cd = "ONDA4I" |
count the number of patients whose admission locations is phys referral/normal deli and diagnosis long title is diverticulitis of colon (without mention of hemorrhage). | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_location = "PHYS REFERRAL/NORMAL DELI" AND diagnoses.long_title = "Diverticulitis of colon (without mention of hemorrhage)" |
what number of male patients have been given fentanyl citrate? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.gender = "M" AND prescriptions.drug = "Fentanyl Citrate" |
how many patients with primary pulmonary hypertension had a blood gas test by lab? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.long_title = "Primary pulmonary hypertension" AND lab."CATEGORY" = "Blood Gas" |
what is age and admission time of subject id 2560? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
... | SELECT demographic.age, demographic.admittime FROM demographic WHERE demographic.subject_id = "2560" |
count the number of patients whose gender is f and primary disease is aortic valve insuffiency\aortic valve replacement /sda? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "F" AND demographic.diagnosis = "AORTIC VALVE INSUFFIENCY\AORTIC VALVE REPLACEMENT /SDA" |
what is admission type and primary disease of subject name cynthia gomez? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id... | SELECT demographic.admission_type, demographic.diagnosis FROM demographic WHERE demographic.name = "Cynthia Gomez" |
what is the number of patients whose ethnicity is white and diagnoses icd9 code is 41512? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.ethnicity = "WHITE" AND diagnoses.icd9_code = "41512" |
Find the number of courses that have two prerequisites for each title in a bar chart, and show names in ascending order. | CREATE TABLE course (
course_id varchar(8),
title varchar(50),
dept_name varchar(20),
credits numeric(2,0)
)
CREATE TABLE department (
dept_name varchar(20),
building varchar(15),
budget numeric(12,2)
)
CREATE TABLE time_slot (
time_slot_id varchar(4),
day varchar(1),
start_hr ... | SELECT title, COUNT(title) FROM course AS T1 JOIN prereq AS T2 ON T1.course_id = T2.course_id GROUP BY title ORDER BY title |
Which catalog contents have length below 3 or above 5? Find the catalog entry names. | CREATE TABLE catalogs (
catalog_id number,
catalog_name text,
catalog_publisher text,
date_of_publication time,
date_of_latest_revision time
)
CREATE TABLE catalog_contents (
catalog_entry_id number,
catalog_level_number number,
parent_entry_id number,
previous_entry_id number,
... | SELECT catalog_entry_name FROM catalog_contents WHERE length < 3 OR width > 5 |
what is date of death and admission time of subject id 15898? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
... | SELECT demographic.dod, demographic.admittime FROM demographic WHERE demographic.subject_id = "15898" |
how many patients whose insurance is government and lab test name is % hemoglobin a1c? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.insurance = "Government" AND lab.label = "% Hemoglobin A1c" |
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