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How many million U.S. viewers watched the epiode with a production code of 1arc12? | CREATE TABLE table_27979 (
"No. in series" real,
"Title" text,
"Directed by" text,
"Written by" text,
"Original air date" text,
"Production code" text,
"U.S. viewers (million)" text
) | SELECT "U.S. viewers (million)" FROM table_27979 WHERE "Production code" = '1ARC12' | [
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What was the date of the premiere that had a 20.9 rating? | CREATE TABLE table_name_38 (premiere VARCHAR, rating VARCHAR) | SELECT premiere FROM table_name_38 WHERE rating = "20.9" | [
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For those records from the products and each product's manufacturer, draw a bar chart about the distribution of name and the average of revenue , and group by attribute name, show x axis in descending order. | CREATE TABLE Manufacturers (
Code INTEGER,
Name VARCHAR(255),
Headquarter VARCHAR(255),
Founder VARCHAR(255),
Revenue REAL
)
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255),
Price DECIMAL,
Manufacturer INTEGER
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Name the name for desha | CREATE TABLE table_25794010_1 (name VARCHAR, county VARCHAR) | SELECT name FROM table_25794010_1 WHERE county = "Desha" | [
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"Name" text,
"Latitude" real,
"Longitude" real,
"Diameter (km)" real,
"Named after" text
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How many students are older than average for each gender, and I want to show from high to low by the total number please. | CREATE TABLE Dorm_amenity (
amenid INTEGER,
amenity_name VARCHAR(25)
)
CREATE TABLE Has_amenity (
dormid INTEGER,
amenid INTEGER
)
CREATE TABLE Student (
StuID INTEGER,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
CREATE TABLE Dorm (
dormid INTEGER,
dorm_name VARCHAR(20),
student_capacity INTEGER,
gender VARCHAR(1)
)
CREATE TABLE Lives_in (
stuid INTEGER,
dormid INTEGER,
room_number INTEGER
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What is every year where opponent in the final is John Mcenroe at Wimbledon? | CREATE TABLE table_23235767_1 (
year VARCHAR,
opponent_in_the_final VARCHAR,
championship VARCHAR
) | SELECT year FROM table_23235767_1 WHERE opponent_in_the_final = "John McEnroe" AND championship = "Wimbledon" | [
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What was the least amount of camp mates? | CREATE TABLE table_19293 (
"Series" text,
"Presenters" text,
"Start date" text,
"End date" text,
"Days in camp" real,
"Camp mates" real,
"Winner" text,
"Highest viewers (millions)" text,
"Lowest viewers (millions)" text,
"Average viewers (millions)" text
) | SELECT MIN("Camp mates") FROM table_19293 | [
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Name the original air date for prod code 201 | CREATE TABLE table_2322716_2 (original_air_dates VARCHAR, prod_code VARCHAR) | SELECT original_air_dates FROM table_2322716_2 WHERE prod_code = 201 | [
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What was the report for an away team of Sydney Spirit and score of 96-87? | CREATE TABLE table_name_16 (
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away_team VARCHAR,
score VARCHAR
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"District" text,
"Incumbent" text,
"Cook" text,
"Rothenberg" text,
"CQ Politics" text,
"Crystal Ball" text
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"Player" text,
"Team" text,
"Matches" real,
"Wickets" real,
"Average" real,
"Best Bowling" text
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What is the total brup for the team? | CREATE TABLE table_18064020_21 (
brup VARCHAR,
name VARCHAR
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For those records from the products and each product's manufacturer, show me about the distribution of name and the average of manufacturer , and group by attribute name in a bar chart, show in desc by the Y-axis please. | CREATE TABLE Manufacturers (
Code INTEGER,
Name VARCHAR(255),
Headquarter VARCHAR(255),
Founder VARCHAR(255),
Revenue REAL
)
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255),
Price DECIMAL,
Manufacturer INTEGER
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Record of 11-10-3 is what sum of game #? | CREATE TABLE table_name_57 (game__number INTEGER, record VARCHAR) | SELECT SUM(game__number) FROM table_name_57 WHERE record = "11-10-3" | [
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How many tackle assists for the player who averages 23.7? | CREATE TABLE table_72955 (
"Name" text,
"GP-GS" text,
"Solo" real,
"Ast" real,
"Total" real,
"TFL-Yds" text,
"No-Yds" text,
"BrUp" real,
"QBH" real,
"No.-Yds" text,
"Avg" text,
"TD" real,
"Long" real,
"Rcv-Yds" text,
"FF" real,
"Blkd Kick" real
) | SELECT "Ast" FROM table_72955 WHERE "Avg" = '23.7' | [
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For those employees who was hired before 2002-06-21, a bar chart shows the distribution of job_id and the average of employee_id , and group by attribute job_id, and rank by the X in asc. | CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
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),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
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,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
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(25)
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which songs are produced by pillo jamel or juju . | CREATE TABLE table_203_353 (
id number,
"#" number,
"title" text,
"producer(s)" text,
"featured guest(s)" text,
"time" text
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at what time was the patient with patient id 6983 admitted in hospital? | 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 (
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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 text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
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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 demographic.admittime FROM demographic WHERE demographic.subject_id = "6983" | [
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How many directors of episode 55? | CREATE TABLE table_28049 (
"Series no." real,
"No. in season" real,
"Title" text,
"Written by" text,
"Directed by" text,
"Original air date" text
) | SELECT COUNT("Directed by") FROM table_28049 WHERE "Series no." = '55' | [
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Who was the home team at the game held at the Junction Oval? | CREATE TABLE table_33247 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
) | SELECT "Home team" FROM table_33247 WHERE "Venue" = 'junction oval' | [
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series VARCHAR
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When is the earliest year in milan that guillermo vilas was champion? | CREATE TABLE table_71979 (
"Location" text,
"Year" real,
"Champion" text,
"Runner-up" text,
"Score" text
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What is the defective year for the eighth numbered month? | CREATE TABLE table_28985631_1 (defective_year VARCHAR, numbered_month VARCHAR) | SELECT defective_year FROM table_28985631_1 WHERE numbered_month = "Eighth" | [
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how many times was the high rebounds by Mcdyess (9) and the high assists was by Billups (10)? | CREATE TABLE table_17311 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location Attendance" text,
"Record" text
) | SELECT COUNT("High points") FROM table_17311 WHERE "High rebounds" = 'McDyess (9)' AND "High assists" = 'Billups (10)' | [
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scorers VARCHAR,
date VARCHAR
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Find meter_600 and ID , and visualize them by a bar chart. | CREATE TABLE stadium (
ID int,
name text,
Capacity int,
City text,
Country text,
Opening_year int
)
CREATE TABLE event (
ID int,
Name text,
Stadium_ID int,
Year text
)
CREATE TABLE swimmer (
ID int,
name text,
Nationality text,
meter_100 real,
meter_200 text,
meter_300 text,
meter_400 text,
meter_500 text,
meter_600 text,
meter_700 text,
Time text
)
CREATE TABLE record (
ID int,
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Swimmer_ID int,
Event_ID int
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_percentage_60_74 VARCHAR
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what is subject name and age 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
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CREATE TABLE procedures (
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hadm_id text,
icd9_code text,
short_title text,
long_title text
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CREATE TABLE demographic (
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hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
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ethnicity text,
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CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
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route text,
drug_dose text
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What are the directions for the guardian whose weapon is kha ga (sword)? | CREATE TABLE table_15902 (
"Name" text,
"Direction" text,
"Mantra" text,
"Weapon" text,
"Consort" text,
"Graha (Planet)" text,
"Guardian M\u0101t\u1e5bk\u0101" text
) | SELECT "Direction" FROM table_15902 WHERE "Weapon" = 'Khaḍga (sword)' | [
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What Kerry number does Taylor county have with more than 65 others#? | CREATE TABLE table_name_64 (
kerry_number VARCHAR,
county VARCHAR,
others_number VARCHAR
) | SELECT COUNT(kerry_number) FROM table_name_64 WHERE county = "taylor" AND others_number > 65 | [
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Which engine was used in 1987? | CREATE TABLE table_name_89 (
engine VARCHAR,
year VARCHAR
) | SELECT engine FROM table_name_89 WHERE year = 1987 | [
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What place had 14:11.15 as the performance? | CREATE TABLE table_66264 (
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count the number of patients whose primary disease is bowel obstruction? | 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,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
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CREATE TABLE diagnoses (
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hadm_id text,
icd9_code text,
short_title text,
long_title text
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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,
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long_title text
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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 job_id and department_id , and sort in descending by the y axis. | CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
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,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
) | SELECT JOB_ID, DEPARTMENT_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY DEPARTMENT_ID DESC | [
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What are the dates of birth of entrepreneurs with investor 'Simon Woodroffe' or 'Peter Jones'? | CREATE TABLE entrepreneur (
People_ID VARCHAR,
Investor VARCHAR
)
CREATE TABLE people (
Date_of_Birth VARCHAR,
People_ID VARCHAR
) | SELECT T2.Date_of_Birth FROM entrepreneur AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID WHERE T1.Investor = "Simon Woodroffe" OR T1.Investor = "Peter Jones" | [
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What is the total number of Entered when the eliminated number is 3? | CREATE TABLE table_name_53 (entered VARCHAR, eliminated VARCHAR) | SELECT COUNT(entered) FROM table_name_53 WHERE eliminated = "3" | [
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set_2 VARCHAR
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venue VARCHAR,
away_team VARCHAR
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What Haydon had a 33 Ben-Tahir? | CREATE TABLE table_57573 (
"Ward" text,
"Bello" text,
"Ben-Tahir" text,
"Doucet" text,
"Furtenbacher" text,
"Gauthier" text,
"Haydon" text,
"Larter" text,
"Lawrance" text,
"Libweshya" text,
"Liscumb" text
) | SELECT "Haydon" FROM table_57573 WHERE "Ben-Tahir" = '33' | [
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How many breadth entries are there when the vessel is marianarray? | CREATE TABLE table_28132970_5 (breadth VARCHAR, vessel VARCHAR) | SELECT COUNT(breadth) FROM table_28132970_5 WHERE vessel = "Marianarray" | [
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provide the number of patients whose death status is 1 and diagnoses short title is proteus infection nos? | 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 text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
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,
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,
route text,
drug_dose text
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.expire_flag = "1" AND diagnoses.short_title = "Proteus infection NOS" | [
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What is the highest Total, when Season is '1996-97', and when Second is less than 33? | CREATE TABLE table_name_23 (
total INTEGER,
season VARCHAR,
second VARCHAR
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What position did the player play who weighed less thna 91 kg and was born on March 5, 1977? | CREATE TABLE table_name_6 (
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birthdate VARCHAR
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top_5 VARCHAR
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Which competition took place at Stade Fernand Fournier, Arles? | CREATE TABLE table_name_51 (competition VARCHAR, venue VARCHAR) | SELECT competition FROM table_name_51 WHERE venue = "stade fernand fournier, arles" | [
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How many values for points have Sophia Witherspoon as the player? | CREATE TABLE table_27578 (
"Player" text,
"Games Played" real,
"Rebounds" real,
"Assists" real,
"Steals" real,
"Blocks" real,
"Points" real
) | SELECT COUNT("Points") FROM table_27578 WHERE "Player" = 'Sophia Witherspoon' | [
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what number of patients whose year of death is in or before the year 2179 had lab test for eosinophils? | 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 (
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
)
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 text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dod_year <= "2179.0" AND lab.label = "Eosinophils" | [
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how many days have passed since patient 027-203413 was admitted for to the hospital? | CREATE TABLE diagnosis (
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patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
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CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
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CREATE TABLE patient (
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patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
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CREATE TABLE medication (
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patientunitstayid number,
drugname text,
dosage text,
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drugstarttime time,
drugstoptime time
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CREATE TABLE vitalperiodic (
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patientunitstayid number,
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treatmenttime time
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patienthealthsystemstayid number,
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CREATE TABLE allergy (
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patientunitstayid number,
drugname text,
allergyname text,
allergytime time
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CREATE TABLE lab (
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patientunitstayid number,
labname text,
labresult number,
labresulttime time
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Which Position did Ruzic play? | CREATE TABLE table_37657 (
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What score was given at the August 17, 2005 match? | CREATE TABLE table_5606 (
"Date" text,
"Tournament" text,
"Surface" text,
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What is the average Heat for anjelika solovieva? | CREATE TABLE table_name_38 (
heat INTEGER,
name VARCHAR
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which country conceded the least goals ? | CREATE TABLE table_203_486 (
id number,
"place" number,
"team" text,
"matches" number,
"won" number,
"drawn" number,
"lost" number,
"difference" text,
"points" number
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What was the amount of winners share (in $) in the game with a margin victory of 2 strokes? | CREATE TABLE table_1940012_2 (winners_share___$__ VARCHAR, margin_of_victory VARCHAR) | SELECT winners_share___$__ FROM table_1940012_2 WHERE margin_of_victory = "2 strokes" | [
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What's the zodiac sing for the month abbreviated as . .? | CREATE TABLE table_22135 (
"English name" text,
"Thai name" text,
"Abbr." text,
"Transcription" text,
"Sanskrit word" text,
"Zodiac sign" text
) | SELECT "Zodiac sign" FROM table_22135 WHERE "Abbr." = 'มี.ค.' | [
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Which 2002 has a 2013 of 2 4? | CREATE TABLE table_33907 (
"Tournament" text,
"2002" text,
"2004" text,
"2005" text,
"2006" text,
"2007" text,
"2008" text,
"2009" text,
"2010" text,
"2011" text,
"2012" text,
"2013" text
) | SELECT "2002" FROM table_33907 WHERE "2013" = '2–4' | [
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diastolic blood pressure < 90 mmhg | CREATE TABLE table_test_13 (
"id" int,
"systolic_blood_pressure_sbp" int,
"tachycardia" int,
"diastolic_blood_pressure_dbp" int,
"total_cholesterol" int,
"high_density_lipoprotein_cholesterol_hdl_c" int,
"serum_creatinine" float,
"alcohol_abuse" bool,
"drug_abuse" bool,
"body_mass_index_bmi" float,
"triglyceride_tg" float,
"age" float,
"NOUSE" float
) | SELECT * FROM table_test_13 WHERE diastolic_blood_pressure_dbp < 90 | [
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What is the name of the department that has the largest number of students enrolled? | CREATE TABLE student (
stu_num number,
stu_lname text,
stu_fname text,
stu_init text,
stu_dob time,
stu_hrs number,
stu_class text,
stu_gpa number,
stu_transfer number,
dept_code text,
stu_phone text,
prof_num number
)
CREATE TABLE professor (
emp_num number,
dept_code text,
prof_office text,
prof_extension text,
prof_high_degree text
)
CREATE TABLE employee (
emp_num number,
emp_lname text,
emp_fname text,
emp_initial text,
emp_jobcode text,
emp_hiredate time,
emp_dob time
)
CREATE TABLE class (
class_code text,
crs_code text,
class_section text,
class_time text,
class_room text,
prof_num number
)
CREATE TABLE course (
crs_code text,
dept_code text,
crs_description text,
crs_credit number
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CREATE TABLE department (
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school_code text,
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CREATE TABLE enroll (
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stu_num number,
enroll_grade text
) | SELECT T4.dept_name FROM class AS T1 JOIN enroll AS T2 ON T1.class_code = T2.class_code JOIN course AS T3 ON T1.crs_code = T3.crs_code JOIN department AS T4 ON T3.dept_code = T4.dept_code GROUP BY T3.dept_code ORDER BY COUNT(*) DESC LIMIT 1 | [
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what is the party when the incumbent is sidney r. yates? | CREATE TABLE table_1341718_14 (
party VARCHAR,
incumbent VARCHAR
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November 25, 2001 was what week of the season? | CREATE TABLE table_46495 (
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"Date" text,
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"TV Time" text
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What is the international mail with the highest number that has a change of +0,2% and less than 0 domestic mail? | CREATE TABLE table_name_45 (international_mail INTEGER, change VARCHAR, domestic_mail VARCHAR) | SELECT MAX(international_mail) FROM table_name_45 WHERE change = "+0,2%" AND domestic_mail < 0 | [
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What is the type when Robert Villemain had a record at 109–1–2? | CREATE TABLE table_name_34 (type VARCHAR, opponent VARCHAR, record VARCHAR) | SELECT type FROM table_name_34 WHERE opponent = "robert villemain" AND record = "109–1–2" | [
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What entrant appeared in 1969? | CREATE TABLE table_70233 (
"Year" real,
"Entrant" text,
"Chassis" text,
"Engine" text,
"Points" real
) | SELECT "Entrant" FROM table_70233 WHERE "Year" = '1969' | [
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Which Music has a Record label of moviebox/ speed records / music waves? | CREATE TABLE table_name_60 (
music VARCHAR,
record_label VARCHAR
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what is the region when the location is 49.7462 n 117.1419 w? | CREATE TABLE table_name_96 (
region VARCHAR,
location VARCHAR
) | SELECT region FROM table_name_96 WHERE location = "49.7462°n 117.1419°w" | [
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Which Points have a Name of denis kornilov? | CREATE TABLE table_name_69 (
points INTEGER,
name VARCHAR
) | SELECT AVG(points) FROM table_name_69 WHERE name = "denis kornilov" | [
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Which class had 110 points? | CREATE TABLE table_13469 (
"Year" real,
"Class" text,
"Team" text,
"Points" real,
"Rank" text,
"Wins" real
) | SELECT "Class" FROM table_13469 WHERE "Points" = '110' | [
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game VARCHAR,
developer_s_ VARCHAR
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How many wins when the pct, is .848? | CREATE TABLE table_name_19 (
wins VARCHAR,
pct VARCHAR
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What is the sum of Year opened when the span feet is more than 1247, and the spam metres is 384? | CREATE TABLE table_7205 (
"Rank" real,
"Name" text,
"Span metres" real,
"Span feet" real,
"Material" text,
"Year opened" real,
"Location" text,
"Country" text
) | SELECT SUM("Year opened") FROM table_7205 WHERE "Span feet" > '1247' AND "Span metres" = '384' | [
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"Institution" text,
"Location" text,
"Founded" real,
"Affiliation" text,
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"Team Nickname" text,
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How many audition city's are there with an episode air date of June 24, 2010? | CREATE TABLE table_27615445_1 (
audition_city VARCHAR,
episode_air_date VARCHAR
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lost VARCHAR,
order VARCHAR,
played VARCHAR
) | SELECT COUNT(lost) FROM table_name_66 WHERE order = "2nd" AND played > 13 | [
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Which airport is in Saudi Arabia when the ICAO is oejn? | CREATE TABLE table_11590 (
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"Airport" text
) | SELECT "Airport" FROM table_11590 WHERE "Country" = 'saudi arabia' AND "ICAO" = 'oejn' | [
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What is the highest Matches were the points were smaller than 8, the place was larger than 13, and the drawn is less than 1? | CREATE TABLE table_name_78 (
matches INTEGER,
drawn VARCHAR,
points VARCHAR,
place VARCHAR
) | SELECT MAX(matches) FROM table_name_78 WHERE points < 8 AND place > 13 AND drawn < 1 | [
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What was the Constructor for the German Grand Prix Race? | CREATE TABLE table_name_33 (
constructor VARCHAR,
race VARCHAR
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give me the number of patients whose discharge location is home and primary disease is coronary artery disease\coronary artery bypass graft /sda? | 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 text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear 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 (
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
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.discharge_location = "HOME" AND demographic.diagnosis = "CORONARY ARTERY DISEASE\CORONARY ARTERY BYPASS GRAFT /SDA" | [
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