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453
| input_ids
list | attention_mask
list | labels
list |
|---|---|---|---|---|---|
List all home teams when Western Kentucky was the visiting team.
|
CREATE TABLE table_26842217_6 (home_team VARCHAR, visiting_team VARCHAR)
|
SELECT home_team FROM table_26842217_6 WHERE visiting_team = "Western Kentucky"
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What is Cabinet, when Year is after 1981, when Fractievoorzitter is "Hans Van Mierlo", and when Chair is "W.I.J.M. Vrijhoef"?
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CREATE TABLE table_name_42 (cabinet VARCHAR, chair VARCHAR, year VARCHAR, fractievoorzitter VARCHAR)
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SELECT cabinet FROM table_name_42 WHERE year > 1981 AND fractievoorzitter = "hans van mierlo" AND chair = "w.i.j.m. vrijhoef"
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What is the lowest number of games loss with a Points difference of 40 - 17, and over 6 games?
|
CREATE TABLE table_name_3 (lost INTEGER, points_difference VARCHAR, games VARCHAR)
|
SELECT MIN(lost) FROM table_name_3 WHERE points_difference = "40 - 17" AND games > 6
|
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What was the latest week with a result of l 14-3?
|
CREATE TABLE table_name_83 (week INTEGER, result VARCHAR)
|
SELECT MAX(week) FROM table_name_83 WHERE result = "l 14-3"
|
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what was the score in toronto
|
CREATE TABLE table_5621 (
"Date" text,
"Visitor" text,
"Score" text,
"Home" text,
"Record" text
)
|
SELECT "Score" FROM table_5621 WHERE "Home" = 'toronto'
|
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What was the aggregate total for the match against Koper?
|
CREATE TABLE table_name_49 (
agg VARCHAR,
opponent VARCHAR
)
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SELECT agg FROM table_name_49 WHERE opponent = "koper"
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What is the rank of The Big Doll House?
|
CREATE TABLE table_name_62 (
rank INTEGER,
title VARCHAR
)
|
SELECT MIN(rank) FROM table_name_62 WHERE title = "the big doll house"
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What was the innings when caught was 20?
|
CREATE TABLE table_24039597_26 (
innings VARCHAR,
caught VARCHAR
)
|
SELECT innings FROM table_24039597_26 WHERE caught = 20
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Which wind farm is in the USA and is noted as having multiple farms?
|
CREATE TABLE table_56500 (
"Wind farm" text,
"Capacity (MW)" real,
"Country" text,
"State/Province" text,
"Notes" text
)
|
SELECT "Wind farm" FROM table_56500 WHERE "Country" = 'usa' AND "Notes" = 'multiple farms'
|
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Record of 47 5 (1) involved what res?
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CREATE TABLE table_name_49 (
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record VARCHAR
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SELECT res FROM table_name_49 WHERE record = "47–5 (1)"
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What is the system called that is named ELKJS?
|
CREATE TABLE table_name_56 (system VARCHAR, name VARCHAR)
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SELECT system FROM table_name_56 WHERE name = "elkjs"
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What is the title that has 14.59 u.s. viewers (millions)?
|
CREATE TABLE table_22078691_2 (
title VARCHAR,
us_viewers__millions_ VARCHAR
)
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SELECT title FROM table_22078691_2 WHERE us_viewers__millions_ = "14.59"
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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 time by a bar chart, rank in asc by the sum employee id please.
|
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 job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
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)
)
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 departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
|
SELECT HIRE_DATE, SUM(EMPLOYEE_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY SUM(EMPLOYEE_ID)
|
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If podiums are 26, what's the lowest WChmp?
|
CREATE TABLE table_name_49 (wchmp INTEGER, podiums VARCHAR)
|
SELECT MIN(wchmp) FROM table_name_49 WHERE podiums = 26
|
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What episode was written by Matt Maclennan?
|
CREATE TABLE table_3709 (
"Total #" real,
"Episode #" real,
"Title" text,
"Directed by" text,
"Written by" text,
"Original air date" text
)
|
SELECT MAX("Episode #") FROM table_3709 WHERE "Written by" = 'Matt MacLennan'
|
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What event has european championships as the tournament, with 2006 as the year?
|
CREATE TABLE table_name_61 (
event VARCHAR,
tournament VARCHAR,
year VARCHAR
)
|
SELECT event FROM table_name_61 WHERE tournament = "european championships" AND year = 2006
|
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How many Attendances on may 24?
|
CREATE TABLE table_name_75 (
attendance INTEGER,
date VARCHAR
)
|
SELECT MIN(attendance) FROM table_name_75 WHERE date = "may 24"
|
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Show the countries that have mountains with height more than 5600 stories and mountains with height less than 5200.
|
CREATE TABLE climber (
climber_id number,
name text,
country text,
time text,
points number,
mountain_id number
)
CREATE TABLE mountain (
mountain_id number,
name text,
height number,
prominence number,
range text,
country text
)
|
SELECT country FROM mountain WHERE height > 5600 INTERSECT SELECT country FROM mountain WHERE height < 5200
|
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On what date was the game 1 played at Portland?
|
CREATE TABLE table_name_73 (date VARCHAR, home_team VARCHAR, game VARCHAR)
|
SELECT date FROM table_name_73 WHERE home_team = "portland" AND game = "game 1"
|
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Which School/ Club Team acquired Jondan Salvador via trade?
|
CREATE TABLE table_42621 (
"Name" text,
"Position" text,
"Number" real,
"School/Club Team" text,
"Season" text,
"Acquisition via" text
)
|
SELECT "School/Club Team" FROM table_42621 WHERE "Acquisition via" = 'trade' AND "Name" = 'jondan salvador'
|
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Highest larger than 2,169, and a Average larger than 3,502 involves which team?
|
CREATE TABLE table_38779 (
"Team" text,
"Stadium" text,
"Capacity" real,
"Highest" real,
"Lowest" real,
"Average" real
)
|
SELECT "Team" FROM table_38779 WHERE "Highest" > '2,169' AND "Average" > '3,502'
|
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Who is the chef at Lakes Bar and Grill?
|
CREATE TABLE table_name_21 (
chef VARCHAR,
restaurant_name VARCHAR
)
|
SELECT chef FROM table_name_21 WHERE restaurant_name = "lakes bar and grill"
|
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What was Fredrik Jacobson's score?
|
CREATE TABLE table_name_88 (score VARCHAR, player VARCHAR)
|
SELECT score FROM table_name_88 WHERE player = "fredrik jacobson"
|
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hematocrit < 36 % ( female ) ; < 38 % ( male )
|
CREATE TABLE table_train_217 (
"id" int,
"gender" string,
"c_peptide_level" float,
"hemoglobin_a1c_hba1c" float,
"hematocrit_hct" float,
"insulin_requirement" float,
"serum_creatinine" float,
"NOUSE" float
)
|
SELECT * FROM table_train_217 WHERE (hematocrit_hct < 36 AND gender = 'female') OR (hematocrit_hct < 38 AND gender = 'male')
|
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How many widow patients have had other body fluid lab tests?
|
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 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 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 lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.marital_status = "WIDOWED" AND lab.fluid = "Other Body Fluid"
|
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What was the scory when calgary was visiting?
|
CREATE TABLE table_name_10 (
score VARCHAR,
visitor VARCHAR
)
|
SELECT score FROM table_name_10 WHERE visitor = "calgary"
|
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provide me the number of male patients who have lab test item id 51144.
|
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 (
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 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
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.gender = "M" AND lab.itemid = "51144"
|
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Record of 89-67 had what loss?
|
CREATE TABLE table_name_16 (loss VARCHAR, record VARCHAR)
|
SELECT loss FROM table_name_16 WHERE record = "89-67"
|
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What is the sum of the points for the player who was a rank of 61t?
|
CREATE TABLE table_34510 (
"Rank" text,
"Player" text,
"Position" text,
"Career" text,
"Points" real
)
|
SELECT SUM("Points") FROM table_34510 WHERE "Rank" = '61t'
|
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What country does the player named Mark Cox play for?
|
CREATE TABLE table_29302711_13 (
country VARCHAR,
name VARCHAR
)
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SELECT country FROM table_29302711_13 WHERE name = "Mark Cox"
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Who was runner-up at Berlin when the result was 2-0 with 100,000 fans in attendance?
|
CREATE TABLE table_45388 (
"Year" real,
"Champion" text,
"Runner-Up" text,
"Result" text,
"Date" text,
"Venue" text,
"Attendance" text
)
|
SELECT "Runner-Up" FROM table_45388 WHERE "Venue" = 'berlin' AND "Result" = '2-0' AND "Attendance" = '100,000'
|
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Avg/G that has a GP-GS of 13 13, and a Effic smaller than 114.23 has what total of numbers?
|
CREATE TABLE table_name_82 (
avg_g VARCHAR,
gp_gs VARCHAR,
effic VARCHAR
)
|
SELECT COUNT(avg_g) FROM table_name_82 WHERE gp_gs = "13–13" AND effic < 114.23
|
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What college is getting a player that attends Wichita Heights High School?
|
CREATE TABLE table_56796 (
"Player" text,
"Height" text,
"School" text,
"Hometown" text,
"College" text
)
|
SELECT "College" FROM table_56796 WHERE "School" = 'wichita heights high school'
|
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how many patients diagnosed with short title ac vasc insuff intestine have had lab test belonging to the category blood gas?
|
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
)
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
)
|
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 = "Ac vasc insuff intestine" AND lab."CATEGORY" = "Blood Gas"
|
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since 4 years ago who is diagnosed with oliguria - suspect atn?
|
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE patient (
uniquepid text,
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
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
|
SELECT patient.uniquepid FROM patient WHERE patient.patientunitstayid IN (SELECT diagnosis.patientunitstayid FROM diagnosis WHERE diagnosis.diagnosisname = 'oliguria - suspect atn' AND DATETIME(diagnosis.diagnosistime) >= DATETIME(CURRENT_TIME(), '-4 year'))
|
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Which region has a date of 1970?
|
CREATE TABLE table_name_58 (region VARCHAR, date VARCHAR)
|
SELECT region FROM table_name_58 WHERE date = "1970"
|
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Return a bar chart on what is the average age for a male in each job?, rank from low to high by the x-axis.
|
CREATE TABLE PersonFriend (
name varchar(20),
friend varchar(20),
year INTEGER
)
CREATE TABLE Person (
name varchar(20),
age INTEGER,
city TEXT,
gender TEXT,
job TEXT
)
|
SELECT job, AVG(age) FROM Person WHERE gender = 'male' GROUP BY job ORDER BY job
|
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What the time of Paul Hession with more than an 0.187 react?
|
CREATE TABLE table_name_76 (time VARCHAR, react VARCHAR, athlete VARCHAR)
|
SELECT time FROM table_name_76 WHERE react > 0.187 AND athlete = "paul hession"
|
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What are the school colors for the college whose main campus is overland park?
|
CREATE TABLE table_71007 (
"Institution" text,
"Main Campus Location" text,
"Founded" real,
"Mascot" text,
"School Colors" text
)
|
SELECT "School Colors" FROM table_71007 WHERE "Main Campus Location" = 'overland park'
|
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Name the class aaaa for menard
|
CREATE TABLE table_14630796_1 (class_aAAA VARCHAR, class_a VARCHAR)
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SELECT class_aAAA FROM table_14630796_1 WHERE class_a = "Menard"
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What candidate is associated with the Georgia 4 district?
|
CREATE TABLE table_1342233_11 (
candidates VARCHAR,
district VARCHAR
)
|
SELECT candidates FROM table_1342233_11 WHERE district = "Georgia 4"
|
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Name the most derby county
|
CREATE TABLE table_19950 (
"Competition" text,
"Played" real,
"Derby County" real,
"Draw" real,
"Nottingham Forest" real,
"Derby County Goals" real,
"Nottingham Forest Goals" real
)
|
SELECT MAX("Derby County") FROM table_19950
|
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What was the attendance of the North Melbourne's home game?
|
CREATE TABLE table_name_6 (crowd VARCHAR, home_team VARCHAR)
|
SELECT COUNT(crowd) FROM table_name_6 WHERE home_team = "north melbourne"
|
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Which district had a first elected in 1882 with a result of re-elected?
|
CREATE TABLE table_name_7 (district VARCHAR, first_elected VARCHAR, result VARCHAR)
|
SELECT district FROM table_name_7 WHERE first_elected = 1882 AND result = "re-elected"
|
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What are the names of photos taken with the lens brand 'Sigma' or 'Olympus', and count them by a pie chart
|
CREATE TABLE camera_lens (
id int,
brand text,
name text,
focal_length_mm real,
max_aperture real
)
CREATE TABLE photos (
id int,
camera_lens_id int,
mountain_id int,
color text,
name text
)
CREATE TABLE mountain (
id int,
name text,
Height real,
Prominence real,
Range text,
Country text
)
|
SELECT T1.name, COUNT(T1.name) FROM camera_lens AS T1 JOIN photos AS T2 ON T2.camera_lens_id = T1.id WHERE T1.brand = 'Sigma' OR T1.brand = 'Olympus' GROUP BY T1.name
|
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How many jewish patients had a lab test named monocytes?
|
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
)
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
)
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.religion = "JEWISH" AND lab.label = "Monocytes"
|
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On what date was the catalog cy-24623 for New Zealand?
|
CREATE TABLE table_name_64 (date VARCHAR, region VARCHAR, catalog VARCHAR)
|
SELECT date FROM table_name_64 WHERE region = "new zealand" AND catalog = "cy-24623"
|
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Name the power for dymd-fm
|
CREATE TABLE table_27914076_1 (power_kw VARCHAR, callsign VARCHAR)
|
SELECT power_kw FROM table_27914076_1 WHERE callsign = "DYMD-FM"
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count the number of patients admitted before the year 2203.
|
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,
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 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
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admityear < "2203"
|
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what is the name of the bell with the most diameter ?
|
CREATE TABLE table_203_283 (
id number,
"#" number,
"name" text,
"strike tone\n(st-1/16)" text,
"weight\n(kg)" number,
"diameter\n(mm)" number,
"inscription" text
)
|
SELECT "name" FROM table_203_283 ORDER BY "diameter\n(mm)" DESC LIMIT 1
|
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Show all cities without a branch having more than 100 memberships.
|
CREATE TABLE branch (city VARCHAR, membership_amount INTEGER)
|
SELECT city FROM branch EXCEPT SELECT city FROM branch WHERE membership_amount > 100
|
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What is the cyrillic name for the settlement with the population of 2125?
|
CREATE TABLE table_2562572_9 (
cyrillic_name_other_names VARCHAR,
population__2011_ VARCHAR
)
|
SELECT cyrillic_name_other_names FROM table_2562572_9 WHERE population__2011_ = 2125
|
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Find the last name of the latest contact individual of the organization "Labour Party".
|
CREATE TABLE organizations (organization_id VARCHAR, organization_name VARCHAR); CREATE TABLE individuals (individual_last_name VARCHAR, individual_id VARCHAR); CREATE TABLE organization_contact_individuals (organization_id VARCHAR, individual_id VARCHAR, date_contact_to VARCHAR)
|
SELECT t3.individual_last_name FROM organizations AS t1 JOIN organization_contact_individuals AS t2 ON t1.organization_id = t2.organization_id JOIN individuals AS t3 ON t2.individual_id = t3.individual_id WHERE t1.organization_name = "Labour Party" ORDER BY t2.date_contact_to DESC LIMIT 1
|
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] |
What is the Location for the woodburn dragstrip?
|
CREATE TABLE table_name_12 (location VARCHAR, name VARCHAR)
|
SELECT location FROM table_name_12 WHERE name = "woodburn dragstrip"
|
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How many stages are in a distance of 2,192 km?
|
CREATE TABLE table_name_11 (stages VARCHAR, distance VARCHAR)
|
SELECT stages FROM table_name_11 WHERE distance = "2,192 km"
|
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Name the city of license with resolution of sd 480i and official website of telemundo.com
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CREATE TABLE table_name_34 (city_of_license VARCHAR, resolution VARCHAR, official_website VARCHAR)
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SELECT city_of_license FROM table_name_34 WHERE resolution = "sd 480i" AND official_website = "telemundo.com"
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What is the Country of the Player with a To par of +1?
|
CREATE TABLE table_name_59 (
country VARCHAR,
to_par VARCHAR
)
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SELECT country FROM table_name_59 WHERE to_par = "+1"
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Name the average for 23 games played
|
CREATE TABLE table_26611679_3 (average VARCHAR, games_played VARCHAR)
|
SELECT average FROM table_26611679_3 WHERE games_played = 23
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Which Scrapped/Sold has a Builder of derby, and a Name as rebuilt of ben madigan?
|
CREATE TABLE table_name_74 (
scrapped_sold VARCHAR,
builder VARCHAR,
name_as_rebuilt VARCHAR
)
|
SELECT scrapped_sold FROM table_name_74 WHERE builder = "derby" AND name_as_rebuilt = "ben madigan"
|
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What is the Nationality of the 1998-2000 Years for Grizzlies?
|
CREATE TABLE table_44820 (
"Player" text,
"Nationality" text,
"Position" text,
"Years for Grizzlies" text,
"School/Club Team" text
)
|
SELECT "Nationality" FROM table_44820 WHERE "Years for Grizzlies" = '1998-2000'
|
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What party was the winner when A. Krishnaswamy was the runner-up?
|
CREATE TABLE table_22756549_1 (party VARCHAR, runner_up_a VARCHAR)
|
SELECT party FROM table_22756549_1 WHERE runner_up_a = "A. Krishnaswamy"
|
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Which Date has a Record of 4–2–0?
|
CREATE TABLE table_name_68 (date VARCHAR, record VARCHAR)
|
SELECT date FROM table_name_68 WHERE record = "4–2–0"
|
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What is the Speed at Lake Mead?
|
CREATE TABLE table_name_80 (speed VARCHAR, location VARCHAR)
|
SELECT speed FROM table_name_80 WHERE location = "lake mead"
|
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Socket of fcbga1088, and a Voltage of 1v, and a Part number(s) of nu80579ez600cnu80579ez600ct is what mult?
|
CREATE TABLE table_34852 (
"sSpec number" text,
"Frequency" text,
"L2 cache" text,
"Mult." text,
"Voltage" text,
"Socket" text,
"Release date" text,
"Part number(s)" text,
"Release price ( USD )" text
)
|
SELECT "Mult." FROM table_34852 WHERE "Socket" = 'fcbga1088' AND "Voltage" = '1v' AND "Part number(s)" = 'nu80579ez600cnu80579ez600ct'
|
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Who discovered the specimen at the Burpee Museum of Natural History?
|
CREATE TABLE table_name_43 (
discoverer VARCHAR,
museum VARCHAR
)
|
SELECT discoverer FROM table_name_43 WHERE museum = "burpee museum of natural history"
|
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What was the score of the game against the Braves with a record of 41 27?
|
CREATE TABLE table_name_25 (
score VARCHAR,
opponent VARCHAR,
record VARCHAR
)
|
SELECT score FROM table_name_25 WHERE opponent = "braves" AND record = "41–27"
|
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What is the party for the incumbent Wyche Fowler?
|
CREATE TABLE table_1341598_11 (
party VARCHAR,
incumbent VARCHAR
)
|
SELECT party FROM table_1341598_11 WHERE incumbent = "Wyche Fowler"
|
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[
3,
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2596,
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427,
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-100
] |
Return a scatter chart about the correlation between Credits and Instructor .
|
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 Course (
CID VARCHAR(7),
CName VARCHAR(40),
Credits INTEGER,
Instructor INTEGER,
Days VARCHAR(5),
Hours VARCHAR(11),
DNO INTEGER
)
CREATE TABLE Department (
DNO INTEGER,
Division VARCHAR(2),
DName VARCHAR(25),
Room VARCHAR(5),
Building VARCHAR(13),
DPhone INTEGER
)
CREATE TABLE Gradeconversion (
lettergrade VARCHAR(2),
gradepoint FLOAT
)
CREATE TABLE Faculty (
FacID INTEGER,
Lname VARCHAR(15),
Fname VARCHAR(15),
Rank VARCHAR(15),
Sex VARCHAR(1),
Phone INTEGER,
Room VARCHAR(5),
Building VARCHAR(13)
)
CREATE TABLE Minor_in (
StuID INTEGER,
DNO INTEGER
)
CREATE TABLE Enrolled_in (
StuID INTEGER,
CID VARCHAR(7),
Grade VARCHAR(2)
)
CREATE TABLE Member_of (
FacID INTEGER,
DNO INTEGER,
Appt_Type VARCHAR(15)
)
|
SELECT Credits, Instructor FROM Course ORDER BY Credits
|
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] |
What is the place of the player with 140,000 and a 68-68-75-68=279 score?
|
CREATE TABLE table_name_66 (
place VARCHAR,
money___£__ VARCHAR,
score VARCHAR
)
|
SELECT place FROM table_name_66 WHERE money___£__ = "140,000" AND score = 68 - 68 - 75 - 68 = 279
|
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what is the engine for year less than 1959 and points more than 4?
|
CREATE TABLE table_name_7 (
engine VARCHAR,
year VARCHAR,
points VARCHAR
)
|
SELECT engine FROM table_name_7 WHERE year < 1959 AND points > 4
|
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3,
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3,
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] |
How many km 2 does the area with nominal GDP and 16,852,000,000 in usd(2012) cover?
|
CREATE TABLE table_4092 (
"Country" text,
"Area (km 2 )" real,
"Population(2012)" real,
"Density (/km 2 )" real,
"GDP (nominal), USD (2012)" text,
"GDP (nominal) per capita, USD (2012)" text,
"HDI (2012)" text,
"Capital" text
)
|
SELECT "Area (km 2 )" FROM table_4092 WHERE "GDP (nominal), USD (2012)" = '16,852,000,000'
|
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] |
what is the total in attendance for september 17th ?
|
CREATE TABLE table_204_55 (
id number,
"date" text,
"time" text,
"opponent#" text,
"rank#" text,
"site" text,
"tv" text,
"result" text,
"attendance" number
)
|
SELECT "attendance" FROM table_204_55 WHERE "date" = 'september 17, 2005'
|
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Which country has Anselmo Da Silva in lane 2?
|
CREATE TABLE table_46606 (
"Heat" real,
"Lane" real,
"Name" text,
"Country" text,
"Mark" text,
"React" real
)
|
SELECT "Country" FROM table_46606 WHERE "Lane" < '2' AND "Name" = 'anselmo da silva'
|
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Who scored the most assists in game 59?
|
CREATE TABLE table_20293 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location Attendance" text,
"Record" text
)
|
SELECT "High assists" FROM table_20293 WHERE "Game" = '59'
|
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What is the result with a Round of 3, and an Opponent of keith wisniewski?
|
CREATE TABLE table_56025 (
"Res." text,
"Record" text,
"Opponent" text,
"Method" text,
"Event" text,
"Round" text,
"Time" text
)
|
SELECT "Res." FROM table_56025 WHERE "Round" = '3' AND "Opponent" = 'keith wisniewski'
|
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Name the 10 3 bbl/d (2009) when 10 3 bbl/d (2007) is 180
|
CREATE TABLE table_25720 (
"#" real,
"Producing Nation" text,
"10 3 bbl/d (2006)" text,
"10 3 bbl/d (2007)" real,
"10 3 bbl/d (2008)" real,
"10 3 bbl/d (2009)" real,
"Present Share" text
)
|
SELECT "10 3 bbl/d (2009)" FROM table_25720 WHERE "10 3 bbl/d (2007)" = '180'
|
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Name the 18-49 rating for weekly rank of 30
|
CREATE TABLE table_name_1 (weekly_rank___number_ VARCHAR)
|
SELECT 18 AS _49__rating_share_ FROM table_name_1 WHERE weekly_rank___number_ = "30"
|
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On what date were less than 10 built with a locomotive number of 31-35?
|
CREATE TABLE table_name_48 (date VARCHAR, no_built VARCHAR, loco_nos VARCHAR)
|
SELECT date FROM table_name_48 WHERE no_built < 10 AND loco_nos = "31-35"
|
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What is the total population for Saint-Antoine with an area squared of 6.43?
|
CREATE TABLE table_name_60 (population INTEGER, official_name VARCHAR, area_km_2 VARCHAR)
|
SELECT SUM(population) FROM table_name_60 WHERE official_name = "saint-antoine" AND area_km_2 > 6.43
|
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What event did Cristina Iovu participate in?
|
CREATE TABLE table_38771 (
"Medal" text,
"Name" text,
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"Event" text
)
|
SELECT "Event" FROM table_38771 WHERE "Name" = 'cristina iovu'
|
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what is age and ethnicity of subject id 9258?
|
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
)
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 (
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 demographic.age, demographic.ethnicity FROM demographic WHERE demographic.subject_id = "9258"
|
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what team visited chicago
|
CREATE TABLE table_name_14 (
score VARCHAR,
visitor VARCHAR
)
|
SELECT score FROM table_name_14 WHERE visitor = "chicago"
|
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For those records from the products and each product's manufacturer, visualize a bar chart about the distribution of name and price , and group by attribute name, and show Y in asc order.
|
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255),
Price DECIMAL,
Manufacturer INTEGER
)
CREATE TABLE Manufacturers (
Code INTEGER,
Name VARCHAR(255),
Headquarter VARCHAR(255),
Founder VARCHAR(255),
Revenue REAL
)
|
SELECT T1.Name, T1.Price FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name, T1.Name ORDER BY T1.Price
|
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Tell me the position of chris clark
|
CREATE TABLE table_4331 (
"Pick" text,
"Player" text,
"Position" text,
"Nationality" text,
"NHL team" text
)
|
SELECT "Position" FROM table_4331 WHERE "Player" = 'chris clark'
|
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] |
What round on average was a defensive tackle selected?
|
CREATE TABLE table_name_87 (
round INTEGER,
position VARCHAR
)
|
SELECT AVG(round) FROM table_name_87 WHERE position = "defensive tackle"
|
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For all employees who have the letters D or S in their first name, give me the comparison about the average of salary over the job_id , and group by attribute job_id by a bar chart, could you sort by the x axis in asc?
|
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 job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
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 departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
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)
)
|
SELECT JOB_ID, AVG(SALARY) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY JOB_ID
|
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which is the only stadium on the list that is in kazakhstan ?
|
CREATE TABLE table_204_392 (
id number,
"#" number,
"stadium" text,
"capacity" number,
"city" text,
"country" text,
"domed or retractable roof" text
)
|
SELECT "stadium" FROM table_204_392 WHERE "country" = 'kazakhstan'
|
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What are the purchase details of transactions with amount bigger than 10000?
|
CREATE TABLE transactions (
transaction_id number,
investor_id number,
transaction_type_code text,
date_of_transaction time,
amount_of_transaction number,
share_count text,
other_details text
)
CREATE TABLE lots (
lot_id number,
investor_id number,
lot_details text
)
CREATE TABLE investors (
investor_id number,
investor_details text
)
CREATE TABLE sales (
sales_transaction_id number,
sales_details text
)
CREATE TABLE ref_transaction_types (
transaction_type_code text,
transaction_type_description text
)
CREATE TABLE purchases (
purchase_transaction_id number,
purchase_details text
)
CREATE TABLE transactions_lots (
transaction_id number,
lot_id number
)
|
SELECT T1.purchase_details FROM purchases AS T1 JOIN transactions AS T2 ON T1.purchase_transaction_id = T2.transaction_id WHERE T2.amount_of_transaction > 10000
|
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what is the number of patients whose drug name is nitroglycerin sl?
|
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 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 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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.drug = "Nitroglycerin SL"
|
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Who were the cover models in the edition that included Benicio Del Toro as the interview subject?
|
CREATE TABLE table_1566852_10 (
cover_model VARCHAR,
interview_subject VARCHAR
)
|
SELECT cover_model FROM table_1566852_10 WHERE interview_subject = "Benicio del Toro"
|
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What is the score of the game with Grizzlies as the visitor team on 30 December 2007?
|
CREATE TABLE table_name_21 (
score VARCHAR,
visitor VARCHAR,
date VARCHAR
)
|
SELECT score FROM table_name_21 WHERE visitor = "grizzlies" AND date = "30 december 2007"
|
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What was the title of the episode written by Julia Newton in series 48?
|
CREATE TABLE table_2468961_4 (
title VARCHAR,
written_by VARCHAR,
no_in_series VARCHAR
)
|
SELECT title FROM table_2468961_4 WHERE written_by = "Julia Newton" AND no_in_series = 48
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has patient 021-124150 had an allergy since 1 year ago?
|
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE patient (
uniquepid text,
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
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
|
SELECT COUNT(*) > 0 FROM allergy WHERE allergy.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '021-124150')) AND DATETIME(allergy.allergytime) >= DATETIME(CURRENT_TIME(), '-1 year')
|
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[
3,
23143,
14196,
2847,
17161,
599,
1935,
61,
2490,
3,
632,
21680,
23886,
549,
17444,
427,
23886,
5,
10061,
15129,
21545,
23,
26,
3388,
41,
23143,
14196,
1868,
5,
10061,
15129,
21545,
23,
26,
21680,
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549,
17444,
427,
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5,
10061,
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26,
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10061,
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26,
21680,
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427,
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5,
202,
1495,
12417,
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31,
632,
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18,
22504,
12278,
31,
61,
61,
3430,
309,
6048,
382,
15382,
599,
11211,
122,
63,
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11211,
122,
63,
715,
61,
2490,
2423,
309,
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382,
15382,
599,
5211,
12224,
6431,
834,
382,
15382,
9960,
6,
3,
31,
2292,
215,
31,
61,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
how many skiers represented norway in the men 's 15 kilometre classical ?
|
CREATE TABLE table_204_81 (
id number,
"rank" number,
"bib" number,
"name" text,
"country" text,
"time" text,
"deficit" text
)
|
SELECT COUNT("name") FROM table_204_81 WHERE "country" = 'norway'
|
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[
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] |
List the names of aircrafts and that won matches at least twice.
|
CREATE TABLE MATCH (Winning_Aircraft VARCHAR); CREATE TABLE aircraft (Aircraft VARCHAR, Aircraft_ID VARCHAR)
|
SELECT T1.Aircraft FROM aircraft AS T1 JOIN MATCH AS T2 ON T1.Aircraft_ID = T2.Winning_Aircraft GROUP BY T2.Winning_Aircraft HAVING COUNT(*) >= 2
|
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How many were Wounded while in a Unit with a Complement of 83 off 9 Men?
|
CREATE TABLE table_name_79 (
wounded VARCHAR,
complement VARCHAR
)
|
SELECT wounded FROM table_name_79 WHERE complement = "83 off 9 men"
|
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how many patients are primarily diagnosed for posterior communicating aneurysm/sda and died in or before 2180?
|
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 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
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "POSTERIOR COMMUNICATING ANEURYSM/SDA" AND demographic.dod_year <= "2180.0"
|
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Which team raced on October 19?
|
CREATE TABLE table_72710 (
"Season" real,
"Date" text,
"Location" text,
"Driver" text,
"Chassis" text,
"Engine" text,
"Team" text
)
|
SELECT "Team" FROM table_72710 WHERE "Date" = 'October 19'
|
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What is the Athlete from Burbank High School?
|
CREATE TABLE table_name_25 (
athlete VARCHAR,
school VARCHAR
)
|
SELECT athlete FROM table_name_25 WHERE school = "burbank high school"
|
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what is the number of patients whose age is less than 68 and lab test fluid is other body fluid?
|
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
)
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 lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "68" AND lab.fluid = "Other Body Fluid"
|
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