NATURAL_LANG
stringlengths 0
446
| SCHEMA
stringlengths 27
2.21k
| SQL
stringlengths 18
453
| input_ids
list | attention_mask
list | labels
list |
|---|---|---|---|---|---|
Name the total number of founded for yankton
|
CREATE TABLE table_2076557_2 (founded VARCHAR, location_s_ VARCHAR)
|
SELECT COUNT(founded) FROM table_2076557_2 WHERE location_s_ = "Yankton"
|
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What is the hometown of the player who plays pr?
|
CREATE TABLE table_34141 (
"Position" text,
"Number" real,
"Name" text,
"Height" text,
"Weight" text,
"Class" text,
"Hometown" text,
"Games\u2191" real
)
|
SELECT "Hometown" FROM table_34141 WHERE "Position" = 'pr'
|
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What is the highest number born in a none EU state (1000) from Denmark with a total population (1000) less than 5,534?
|
CREATE TABLE table_name_20 (born_in_a_non_eu_state__1000_ INTEGER, country VARCHAR, total_population__1000_ VARCHAR)
|
SELECT MAX(born_in_a_non_eu_state__1000_) FROM table_name_20 WHERE country = "denmark" AND total_population__1000_ < 5 OFFSET 534
|
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What was the Venue on June 8, 2005?
|
CREATE TABLE table_name_9 (
venue VARCHAR,
date VARCHAR
)
|
SELECT venue FROM table_name_9 WHERE date = "june 8, 2005"
|
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Who has a rank below 125 and time of 00: 56.30?
|
CREATE TABLE table_name_32 (
name VARCHAR,
rank VARCHAR,
time VARCHAR
)
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SELECT name FROM table_name_32 WHERE rank < 125 AND time = "00: 56.30"
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What is the highest elevation of a place where the lowest point is the Allaine River, National border?
|
CREATE TABLE table_name_93 (
highest_elevation VARCHAR,
lowest_point VARCHAR
)
|
SELECT highest_elevation FROM table_name_93 WHERE lowest_point = "allaine river, national border"
|
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give me the number of patients whose days of hospital stay is greater than 15 and admission year is less than 2162?
|
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 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 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 WHERE demographic.days_stay > "15" AND demographic.admityear < "2162"
|
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] |
Show all calendar dates and bin by weekday in a bar chart.
|
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME,
Day_Number INTEGER
)
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15),
Document_Type_Name VARCHAR(255),
Document_Type_Description VARCHAR(255)
)
CREATE TABLE Document_Locations (
Document_ID INTEGER,
Location_Code CHAR(15),
Date_in_Location_From DATETIME,
Date_in_Locaton_To DATETIME
)
CREATE TABLE Roles (
Role_Code CHAR(15),
Role_Name VARCHAR(255),
Role_Description VARCHAR(255)
)
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255)
)
CREATE TABLE All_Documents (
Document_ID INTEGER,
Date_Stored DATETIME,
Document_Type_Code CHAR(15),
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255)
)
CREATE TABLE Ref_Locations (
Location_Code CHAR(15),
Location_Name VARCHAR(255),
Location_Description VARCHAR(255)
)
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)
)
|
SELECT Calendar_Date, COUNT(Calendar_Date) FROM Ref_Calendar
|
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] |
How many departments for each building? Draw a bar chart, and rank in asc by the how many building.
|
CREATE TABLE classroom (
building varchar(15),
room_number varchar(7),
capacity numeric(4,0)
)
CREATE TABLE course (
course_id varchar(8),
title varchar(50),
dept_name varchar(20),
credits numeric(2,0)
)
CREATE TABLE prereq (
course_id varchar(8),
prereq_id varchar(8)
)
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 numeric(2),
start_min numeric(2),
end_hr numeric(2),
end_min numeric(2)
)
CREATE TABLE advisor (
s_ID varchar(5),
i_ID varchar(5)
)
CREATE TABLE instructor (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
salary numeric(8,2)
)
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 student (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
tot_cred numeric(3,0)
)
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 teaches (
ID varchar(5),
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0)
)
|
SELECT building, COUNT(building) FROM department GROUP BY building ORDER BY COUNT(building)
|
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What studio did Paul Greengrass direct in 2007?
|
CREATE TABLE table_64248 (
"Year" real,
"Title" text,
"Director" text,
"Studio(s)" text,
"Notes" text
)
|
SELECT "Studio(s)" FROM table_64248 WHERE "Year" = '2007' AND "Director" = 'paul greengrass'
|
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Name the writers for 46 in series
|
CREATE TABLE table_28959 (
"No. in series" real,
"No. in season" real,
"Title" text,
"Director" text,
"Writer(s)" text,
"Original air date" text,
"Production code" text,
"U.S. viewers (million)" text
)
|
SELECT "Writer(s)" FROM table_28959 WHERE "No. in series" = '46'
|
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What is the earliest game played at the TD Waterhouse Centre?
|
CREATE TABLE table_49044 (
"Game" real,
"Date" text,
"Opponent" text,
"Score" text,
"Location" text,
"Record" text
)
|
SELECT MIN("Game") FROM table_49044 WHERE "Location" = 'td waterhouse centre'
|
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What is the most used instrument?
|
CREATE TABLE performance (
songid number,
bandmate number,
stageposition text
)
CREATE TABLE albums (
aid number,
title text,
year number,
label text,
type text
)
CREATE TABLE instruments (
songid number,
bandmateid number,
instrument text
)
CREATE TABLE tracklists (
albumid number,
position number,
songid number
)
CREATE TABLE vocals (
songid number,
bandmate number,
type text
)
CREATE TABLE band (
id number,
firstname text,
lastname text
)
CREATE TABLE songs (
songid number,
title text
)
|
SELECT instrument FROM instruments GROUP BY instrument ORDER BY COUNT(*) DESC LIMIT 1
|
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] |
Show the name of each party and the corresponding number of delegates from that party in a bar chart, order by the bars from high to low.
|
CREATE TABLE county (
County_Id int,
County_name text,
Population real,
Zip_code text
)
CREATE TABLE election (
Election_ID int,
Counties_Represented text,
District int,
Delegate text,
Party int,
First_Elected real,
Committee text
)
CREATE TABLE party (
Party_ID int,
Year real,
Party text,
Governor text,
Lieutenant_Governor text,
Comptroller text,
Attorney_General text,
US_Senate text
)
|
SELECT T2.Party, AVG(COUNT(*)) FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID GROUP BY T2.Party ORDER BY T2.Party DESC
|
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What was the kickoff time on monday, may 13?
|
CREATE TABLE table_20782 (
"Week" real,
"Date" text,
"Kickoff" text,
"Opponent" text,
"Final score" text,
"Team record" text,
"Game site" text,
"Attendance" real
)
|
SELECT "Kickoff" FROM table_20782 WHERE "Date" = 'Monday, May 13'
|
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What episode number is the first episode of season 11 in Melrose Place?
|
CREATE TABLE table_name_60 (no_in_series INTEGER, no_in_season VARCHAR)
|
SELECT MIN(no_in_series) FROM table_name_60 WHERE no_in_season = 11
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What is the submission Year of the Film The Dark Side of the Moon directed by Erik Clausen?
|
CREATE TABLE table_name_40 (year INTEGER, director VARCHAR, english_title VARCHAR)
|
SELECT SUM(year) FROM table_name_40 WHERE director = "erik clausen" AND english_title = "the dark side of the moon"
|
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What is the most popular full name of the actors?
|
CREATE TABLE actor (first_name VARCHAR, last_name VARCHAR)
|
SELECT first_name, last_name FROM actor GROUP BY first_name, last_name ORDER BY COUNT(*) DESC LIMIT 1
|
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] |
Return the apartment number with the largest number of bedrooms.
|
CREATE TABLE apartment_facilities (
apt_id number,
facility_code text
)
CREATE TABLE view_unit_status (
apt_id number,
apt_booking_id number,
status_date time,
available_yn others
)
CREATE TABLE apartments (
apt_id number,
building_id number,
apt_type_code text,
apt_number text,
bathroom_count number,
bedroom_count number,
room_count text
)
CREATE TABLE apartment_buildings (
building_id number,
building_short_name text,
building_full_name text,
building_description text,
building_address text,
building_manager text,
building_phone text
)
CREATE TABLE guests (
guest_id number,
gender_code text,
guest_first_name text,
guest_last_name text,
date_of_birth time
)
CREATE TABLE apartment_bookings (
apt_booking_id number,
apt_id number,
guest_id number,
booking_status_code text,
booking_start_date time,
booking_end_date time
)
|
SELECT apt_number FROM apartments ORDER BY bedroom_count DESC LIMIT 1
|
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] |
Which Area (km ) is the lowest one that has a Population of 17,089?
|
CREATE TABLE table_62221 (
"Name" text,
"Area (km\u00b2)" real,
"Pop." real,
"Pop/Area (1/km\u00b2)" real,
"No P." real,
"No C./No T." text,
"Subregion" text
)
|
SELECT MIN("Area (km\u00b2)") FROM table_62221 WHERE "Pop." = '17,089'
|
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How many patients had the drug fluoxetine hcl?
|
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
)
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
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.drug = "Fluoxetine HCl"
|
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What is the highest amount of yards when the average is 9.5?
|
CREATE TABLE table_name_12 (
yards INTEGER,
average VARCHAR
)
|
SELECT MAX(yards) FROM table_name_12 WHERE average = 9.5
|
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Name the airport with IATA of dmk
|
CREATE TABLE table_name_74 (airport VARCHAR, iata VARCHAR)
|
SELECT airport FROM table_name_74 WHERE iata = "dmk"
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For which group was Kim nominated in 2010 for Best International Actress?
|
CREATE TABLE table_6030 (
"Year" real,
"Group" text,
"Award" text,
"Film/Series" text,
"Result" text
)
|
SELECT "Group" FROM table_6030 WHERE "Year" = '2010' AND "Award" = 'best international actress'
|
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how many patients were diagnosed with acute diastolic heart failure and their drug route is tp?
|
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 (
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 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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Ac diastolic hrt failure" AND prescriptions.route = "TP"
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What number of white russian patients had a lab test named monocytes?
|
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
)
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.ethnicity = "WHITE - RUSSIAN" AND lab.label = "Monocytes"
|
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What is the score of the Devil Rays on April 24?
|
CREATE TABLE table_66887 (
"Date" text,
"Opponent" text,
"Score" text,
"Loss" text,
"Time" text,
"Att." text,
"Record" text
)
|
SELECT "Score" FROM table_66887 WHERE "Opponent" = 'devil rays' AND "Date" = 'april 24'
|
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how many patients whose discharge location is home health care and days of hospital stay is greater than 15?
|
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
)
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 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 HEALTH CARE" AND demographic.days_stay > "15"
|
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howe many positions did wallace, mike mike wallace play for
|
CREATE TABLE table_20898602_1 (position VARCHAR, player VARCHAR)
|
SELECT COUNT(position) FROM table_20898602_1 WHERE player = "Wallace, Mike Mike Wallace"
|
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What were the placements of the team in regular season when they reached quarterfinals in the U.S. Open Cup but did not qualify for the Concaf Champions Cup?
|
CREATE TABLE table_72827 (
"Season" real,
"MLS Reg. Season" text,
"MLS Cup Playoffs" text,
"U.S. Open Cup" text,
"CONCACAF Champions Cup / Champions League" text
)
|
SELECT "MLS Reg. Season" FROM table_72827 WHERE "U.S. Open Cup" = 'Quarterfinals' AND "CONCACAF Champions Cup / Champions League" = 'Did not qualify'
|
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What player attended Graceland College?
|
CREATE TABLE table_name_94 (
player VARCHAR,
college VARCHAR
)
|
SELECT player FROM table_name_94 WHERE college = "graceland"
|
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What is 3rd Place, when Runner-Up is 'Simon Ehne', and when Prize is $100,000?
|
CREATE TABLE table_name_70 (
runner_up VARCHAR,
prize VARCHAR
)
|
SELECT 3 AS rd_place FROM table_name_70 WHERE runner_up = "simon ehne" AND prize = "$100,000"
|
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What Week 5 has a Week 1 of mysti sherwood?
|
CREATE TABLE table_name_10 (week_5 VARCHAR, week_1 VARCHAR)
|
SELECT week_5 FROM table_name_10 WHERE week_1 = "mysti sherwood"
|
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Which Score has a Place of t6, and a Country of paraguay?
|
CREATE TABLE table_name_20 (
score VARCHAR,
place VARCHAR,
country VARCHAR
)
|
SELECT score FROM table_name_20 WHERE place = "t6" AND country = "paraguay"
|
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What was the Last Performance when the status is current cast, and a Name of noah parets?
|
CREATE TABLE table_67713 (
"Status" text,
"Name" text,
"First Performance" text,
"Last Performance" text,
"Style" text
)
|
SELECT "Last Performance" FROM table_67713 WHERE "Status" = 'current cast' AND "Name" = 'noah parets'
|
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who won more awards ? walt disney or james dean ?
|
CREATE TABLE table_203_17 (
id number,
"name" text,
"date of death" text,
"ceremony" text,
"year" text,
"academy award" text,
"film" text,
"winner" text
)
|
SELECT "name" FROM table_203_17 WHERE "name" IN ('walt disney', 'james dean') AND "winner" = 'won' GROUP BY "name" ORDER BY COUNT("academy award") DESC LIMIT 1
|
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Name the first aired with money requested more than 85,000
|
CREATE TABLE table_name_86 (
first_aired VARCHAR,
money_requested__£_ INTEGER
)
|
SELECT first_aired FROM table_name_86 WHERE money_requested__£_ > 85 OFFSET 000
|
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how many times is young rider more than 0, country is france and points less than 1?
|
CREATE TABLE table_65197 (
"Rank" text,
"Country" text,
"Jerseys" real,
"Giro wins" real,
"Points" real,
"Young rider" real,
"Most recent cyclist" text,
"Most recent date" text,
"Different holders" real
)
|
SELECT COUNT("Jerseys") FROM table_65197 WHERE "Young rider" > '0' AND "Country" = 'france' AND "Points" < '1'
|
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when did patient 002-58943 come for the last time to the hospital?
|
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime 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 cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
|
SELECT patient.hospitaladmittime FROM patient WHERE patient.uniquepid = '002-58943' ORDER BY patient.hospitaladmittime DESC LIMIT 1
|
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What team(s) did they play on april 23?
|
CREATE TABLE table_1624 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location Attendance" text,
"Record" text
)
|
SELECT "Team" FROM table_1624 WHERE "Date" = 'April 23'
|
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Which opponent has a 26-12 record?
|
CREATE TABLE table_name_44 (opponent VARCHAR, record VARCHAR)
|
SELECT opponent FROM table_name_44 WHERE record = "26-12"
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What's the lane with a time of 1:00.66?
|
CREATE TABLE table_name_93 (
lane INTEGER,
time VARCHAR
)
|
SELECT AVG(lane) FROM table_name_93 WHERE time = "1:00.66"
|
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how many black/cape verdean ethnic background patients have diagnoses icd9 code 1536?
|
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 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
)
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 INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.ethnicity = "BLACK/CAPE VERDEAN" AND diagnoses.icd9_code = "1536"
|
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What was the profession of the celebrity who was featured on season 15 and finished 7th place?
|
CREATE TABLE table_24775967_1 (
notability_profession VARCHAR,
season VARCHAR,
finish VARCHAR
)
|
SELECT notability_profession FROM table_24775967_1 WHERE season = 15 AND finish = "7th"
|
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what is subject name and age of subject id 81254?
|
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 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 demographic.name, demographic.age FROM demographic WHERE demographic.subject_id = "81254"
|
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Plot mean age by grouped by sex as a bar graph, order by the the average of age in descending.
|
CREATE TABLE Lives_in (
stuid INTEGER,
dormid INTEGER,
room_number 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 Has_amenity (
dormid INTEGER,
amenid INTEGER
)
CREATE TABLE Dorm (
dormid INTEGER,
dorm_name VARCHAR(20),
student_capacity INTEGER,
gender VARCHAR(1)
)
CREATE TABLE Dorm_amenity (
amenid INTEGER,
amenity_name VARCHAR(25)
)
|
SELECT Sex, AVG(Age) FROM Student GROUP BY Sex ORDER BY AVG(Age) DESC
|
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What was the finish place with a qual of 123.660?
|
CREATE TABLE table_name_26 (
finish VARCHAR,
qual VARCHAR
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SELECT finish FROM table_name_26 WHERE qual = "123.660"
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What percentage did Republish Christopher Reed receive when the lead margin was smaller than 16?
|
CREATE TABLE table_name_25 (republican VARCHAR, lead_margin INTEGER)
|
SELECT republican AS :_christopher_reed FROM table_name_25 WHERE lead_margin < 16
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What was the venue where the result was 12th?
|
CREATE TABLE table_name_73 (venue VARCHAR, result VARCHAR)
|
SELECT venue FROM table_name_73 WHERE result = "12th"
|
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For those records from the products and each product's manufacturer, a scatter chart shows the correlation between code and price , and group by attribute founder.
|
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
)
|
SELECT T1.Code, T1.Price FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder
|
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What is the height of the person whose position is Libero?
|
CREATE TABLE table_64517 (
"Shirt No" real,
"Nationality" text,
"Player" text,
"Birth Date" text,
"Height" real,
"Position" text
)
|
SELECT MAX("Height") FROM table_64517 WHERE "Position" = 'libero'
|
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Who was the director for the episode in season #50?
|
CREATE TABLE table_20858 (
"Series #" real,
"Season #" real,
"Title" text,
"Directed by" text,
"Written by" text,
"Original air date" text
)
|
SELECT "Directed by" FROM table_20858 WHERE "Series #" = '50'
|
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What is the language of the film originally titled רגעים?
|
CREATE TABLE table_name_39 (language VARCHAR, original_name VARCHAR)
|
SELECT language FROM table_name_39 WHERE original_name = "רגעים"
|
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What is the time/retired for mika h kkinen
|
CREATE TABLE table_56317 (
"Driver" text,
"Constructor" text,
"Laps" real,
"Time/Retired" text,
"Grid" real
)
|
SELECT "Time/Retired" FROM table_56317 WHERE "Driver" = 'mika häkkinen'
|
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Which opponent had a round of SF?
|
CREATE TABLE table_name_45 (
opponent VARCHAR,
round VARCHAR
)
|
SELECT opponent FROM table_name_45 WHERE round = "sf"
|
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miracle man and kanjyuro matsuyama both won the title in which japanese city ?
|
CREATE TABLE table_204_854 (
id number,
"#" number,
"wrestlers" text,
"reign" number,
"date" text,
"days\nheld" number,
"location" text,
"notes" text
)
|
SELECT "location" FROM table_204_854 WHERE "wrestlers" = 'miracle man' INTERSECT SELECT "location" FROM table_204_854 WHERE "wrestlers" = 'kanjyuro matsuyama'
|
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At the match which took place in arden street oval, how much did the away team score?
|
CREATE TABLE table_name_79 (
away_team VARCHAR,
venue VARCHAR
)
|
SELECT away_team AS score FROM table_name_79 WHERE venue = "arden street oval"
|
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give the number of patients having lab test named phenytoin.
|
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 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
)
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 lab.label = "Phenytoin"
|
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Name the southern lakota for h ha na
|
CREATE TABLE table_72619 (
"English gloss" text,
"Santee-Sisseton" text,
"Yankton-Yanktonai" text,
"Northern Lakota" text,
"Southern Lakota" text
)
|
SELECT "Southern Lakota" FROM table_72619 WHERE "Yankton-Yanktonai" = 'híŋhaŋna'
|
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What is the Call sign for the ERP W 19?
|
CREATE TABLE table_name_75 (
call_sign VARCHAR,
erp_w VARCHAR
)
|
SELECT call_sign FROM table_name_75 WHERE erp_w = 19
|
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When 19 is the stage who is the points classification?
|
CREATE TABLE table_18733814_2 (
points_classification VARCHAR,
stage VARCHAR
)
|
SELECT points_classification FROM table_18733814_2 WHERE stage = 19
|
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which year saw the most ships produced ?
|
CREATE TABLE table_204_33 (
id number,
"number" number,
"name" text,
"year built" number,
"boat builder" text,
"current status" text
)
|
SELECT "year built" FROM table_204_33 GROUP BY "year built" ORDER BY COUNT("name") DESC LIMIT 1
|
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What is the attendance of the game that had a date listed as Bye?
|
CREATE TABLE table_48793 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"Attendance" text
)
|
SELECT "Attendance" FROM table_48793 WHERE "Date" = 'bye'
|
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What was the main legion base for the Romans when the notes were 'primigenia goddess of fate. xx in batavi revolt'?
|
CREATE TABLE table_26709 (
"Legion no and title" text,
"Main legion base" text,
"Emblem" text,
"Date founded/ founder" text,
"Date disband" text,
"Castra legionaria (legion bases) * = main base. Start date 31 BC if unspecified" text,
"Notes" text
)
|
SELECT "Main legion base" FROM table_26709 WHERE "Notes" = 'Primigenia goddess of Fate. XX in Batavi revolt'
|
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Which award show had the category of best supporting actress?
|
CREATE TABLE table_55135 (
"Year" real,
"Award" text,
"Category" text,
"Nominated work" text,
"Result" text
)
|
SELECT "Award" FROM table_55135 WHERE "Category" = 'best supporting actress'
|
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How many people directed episode 2?
|
CREATE TABLE table_31183 (
"No." real,
"Title" text,
"Directed by" text,
"Written by" text,
"Featured character(s)" text,
"U.S. viewers (millions)" text,
"Original air date" text
)
|
SELECT COUNT("Directed by") FROM table_31183 WHERE "No." = '2'
|
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Which player has 18-50 .360 field goals?
|
CREATE TABLE table_22875514_3 (
player VARCHAR,
field_goals VARCHAR
)
|
SELECT player FROM table_22875514_3 WHERE field_goals = "18-50 .360"
|
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What are the fewest wickets when player's career spanned 1946-1960 and maidens were more than 419?
|
CREATE TABLE table_name_84 (
wickets INTEGER,
career VARCHAR,
maidens VARCHAR
)
|
SELECT MIN(wickets) FROM table_name_84 WHERE career = "1946-1960" AND maidens > 419
|
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Out of total number of patients admitted before the year 2150, how many of them had hemodialysis?
|
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 (
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
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admityear < "2150" AND procedures.long_title = "Hemodialysis"
|
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What is the name of the player with more than 0 assists, a position of forward, 19 goals, and more than 84 apps?
|
CREATE TABLE table_14196 (
"Name" text,
"Position" text,
"Apps" real,
"Goals" real,
"Assists" real
)
|
SELECT "Name" FROM table_14196 WHERE "Assists" > '0' AND "Position" = 'forward' AND "Apps" > '84' AND "Goals" = '19'
|
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How many parks are there in the state of NY?
|
CREATE TABLE park (
state VARCHAR
)
|
SELECT COUNT(*) FROM park WHERE state = 'NY'
|
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What is the rating of the restaurant Subway?
|
CREATE TABLE restaurant_type (
restypeid number,
restypename text,
restypedescription text
)
CREATE TABLE visits_restaurant (
stuid number,
resid number,
time time,
spent number
)
CREATE TABLE type_of_restaurant (
resid number,
restypeid number
)
CREATE TABLE student (
stuid number,
lname text,
fname text,
age number,
sex text,
major number,
advisor number,
city_code text
)
CREATE TABLE restaurant (
resid number,
resname text,
address text,
rating number
)
|
SELECT rating FROM restaurant WHERE resname = "Subway"
|
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Who was the developer of XCom: Enemy Unknown?
|
CREATE TABLE table_66448 (
"Year" real,
"Game" text,
"Genre" text,
"Platform(s)" text,
"Developer(s)" text
)
|
SELECT "Developer(s)" FROM table_66448 WHERE "Game" = 'xcom: enemy unknown'
|
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Which Label has a Format of cd, a Country of Japan and a Catalog of vjcp-68403?
|
CREATE TABLE table_9407 (
"Country" text,
"Date" text,
"Label" text,
"Format" text,
"Catalog" text
)
|
SELECT "Label" FROM table_9407 WHERE "Format" = 'cd' AND "Country" = 'japan' AND "Catalog" = 'vjcp-68403'
|
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What away team has a Tie no of 5?
|
CREATE TABLE table_46989 (
"Tie no" text,
"Home team" text,
"Score" text,
"Away team" text,
"Date" text
)
|
SELECT "Away team" FROM table_46989 WHERE "Tie no" = '5'
|
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What was the score for the 2014 FIFA World Cup Qualification (UEFA)?
|
CREATE TABLE table_41390 (
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text
)
|
SELECT "Score" FROM table_41390 WHERE "Competition" = '2014 fifa world cup qualification (uefa)'
|
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What is segment C in s07e05
|
CREATE TABLE table_19902 (
"Series Ep." text,
"Episode" real,
"Netflix" text,
"Segment A" text,
"Segment B" text,
"Segment C" text,
"Segment D" text
)
|
SELECT "Segment C" FROM table_19902 WHERE "Netflix" = 'S07E05'
|
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Who wins with a score 7–6(4), 6–4
|
CREATE TABLE table_name_1 (winner VARCHAR, score VARCHAR)
|
SELECT winner FROM table_name_1 WHERE score = "7–6(4), 6–4"
|
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3,
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549,
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427,
2604,
3274,
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] |
A bar chart for what are the number of the enrollment dates of all the tests that have result 'Pass'?
|
CREATE TABLE Students (
student_id INTEGER,
date_of_registration DATETIME,
date_of_latest_logon DATETIME,
login_name VARCHAR(40),
password VARCHAR(10),
personal_name VARCHAR(40),
middle_name VARCHAR(40),
family_name VARCHAR(40)
)
CREATE TABLE Student_Course_Enrolment (
registration_id INTEGER,
student_id INTEGER,
course_id INTEGER,
date_of_enrolment DATETIME,
date_of_completion DATETIME
)
CREATE TABLE Courses (
course_id INTEGER,
author_id INTEGER,
subject_id INTEGER,
course_name VARCHAR(120),
course_description VARCHAR(255)
)
CREATE TABLE Subjects (
subject_id INTEGER,
subject_name VARCHAR(120)
)
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 Student_Tests_Taken (
registration_id INTEGER,
date_test_taken DATETIME,
test_result VARCHAR(255)
)
|
SELECT date_of_enrolment, COUNT(date_of_enrolment) FROM Student_Course_Enrolment AS T1 JOIN Student_Tests_Taken AS T2 ON T1.registration_id = T2.registration_id WHERE T2.test_result = "Pass"
|
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] |
Give me the comparison about the sum of meter_100 over the Nationality , and group by attribute Nationality, rank names in descending order.
|
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,
Result text,
Swimmer_ID int,
Event_ID int
)
CREATE TABLE stadium (
ID int,
name text,
Capacity int,
City text,
Country text,
Opening_year int
)
|
SELECT Nationality, SUM(meter_100) FROM swimmer GROUP BY Nationality ORDER BY Nationality DESC
|
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What state was the Jun 2014 less than 73 and the Jul 2013 larger than 13, and the population 2006 bigger than 11,125,000 and that joined in 1995?
|
CREATE TABLE table_7620 (
"State" text,
"Joined" text,
"Population 2006" real,
"Jul 2013" real,
"Jun 2014" real
)
|
SELECT "State" FROM table_7620 WHERE "Jun 2014" < '73' AND "Jul 2013" > '13' AND "Population 2006" > '11,125,000' AND "Joined" = '1995'
|
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Who is the leading scorer of the game on 20 November 2007?
|
CREATE TABLE table_52481 (
"Date" text,
"Visitor" text,
"Score" text,
"Home" text,
"Leading scorer" text,
"Attendance" real,
"Record" text
)
|
SELECT "Leading scorer" FROM table_52481 WHERE "Date" = '20 november 2007'
|
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What is the score of the tournament with a carpet surface and tim henman as the partnering?
|
CREATE TABLE table_name_88 (
score VARCHAR,
surface VARCHAR,
partnering VARCHAR
)
|
SELECT score FROM table_name_88 WHERE surface = "carpet" AND partnering = "tim henman"
|
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What was sebastian kawa's average speed with Diana 2?
|
CREATE TABLE table_45511 (
"Position" real,
"Pilot" text,
"Glider" text,
"Speed" text,
"Distance" text
)
|
SELECT "Speed" FROM table_45511 WHERE "Glider" = 'diana 2' AND "Pilot" = 'sebastian kawa'
|
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How many episodes had 11.47 million viewers?
|
CREATE TABLE table_24689168_5 (episode VARCHAR, viewers__millions_ VARCHAR)
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SELECT COUNT(episode) FROM table_24689168_5 WHERE viewers__millions_ = "11.47"
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How many tries against were there when there was 961 points against?
|
CREATE TABLE table_name_29 (tries_against VARCHAR, points_against VARCHAR)
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SELECT tries_against FROM table_name_29 WHERE points_against = "961"
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[
3,
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7,
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-100
] |
What is the human development index for the year 2000 where the ingei code is 10?
|
CREATE TABLE table_19591 (
"INEGI code" real,
"Municipality" text,
"Municipal Seat" text,
"Area (km 2 )" text,
"Population (2005)" real,
"Population density (/km 2 )" text,
"Human Development Index (2000)" text
)
|
SELECT "Human Development Index (2000)" FROM table_19591 WHERE "INEGI code" = '10'
|
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32100,
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953,
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[
3,
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96,
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348,
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3,
31804,
121,
21680,
953,
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] |
Which series has 4 f/laps?
|
CREATE TABLE table_name_58 (
series VARCHAR,
f_laps VARCHAR
)
|
SELECT series FROM table_name_58 WHERE f_laps = "4"
|
[
32100,
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Tell me the dosage of Vancomycin HCl.
|
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
)
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 prescriptions.drug_dose FROM prescriptions WHERE prescriptions.drug = "Vancomycin HCl"
|
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Which County has an IHSAA Class of aaaa, and a Mascot of cardinals?
|
CREATE TABLE table_name_70 (
county VARCHAR,
ihsaa_class VARCHAR,
mascot VARCHAR
)
|
SELECT county FROM table_name_70 WHERE ihsaa_class = "aaaa" AND mascot = "cardinals"
|
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What is the branding for cbxp-fm?
|
CREATE TABLE table_66085 (
"Frequency" text,
"Call sign" text,
"Branding" text,
"Format" text,
"Owner" text
)
|
SELECT "Branding" FROM table_66085 WHERE "Call sign" = 'cbxp-fm'
|
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What is the number of Apps for Internazionale Club of Brazil?
|
CREATE TABLE table_6028 (
"National team" text,
"Club" text,
"Season" text,
"Apps" real,
"Goals" real
)
|
SELECT COUNT("Apps") FROM table_6028 WHERE "National team" = 'brazil' AND "Club" = 'internazionale'
|
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Who won mens singles the year sveinn logi sölvason tryggvi nilsen won mens doubles and elsa nielsen won womens singles
|
CREATE TABLE table_14903999_1 (mens_singles VARCHAR, mens_doubles VARCHAR, womens_singles VARCHAR)
|
SELECT mens_singles FROM table_14903999_1 WHERE mens_doubles = "Sveinn Logi Sölvason Tryggvi Nilsen" AND womens_singles = "Elsa Nielsen"
|
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Name the first elected for new york 1
|
CREATE TABLE table_18195 (
"District" text,
"Incumbent" text,
"Party" text,
"First elected" real,
"Result" text,
"Candidates" text
)
|
SELECT COUNT("First elected") FROM table_18195 WHERE "District" = 'New York 1'
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For those employees who did not have any job in the past, visualize a bar chart about the distribution of job_id and the sum of manager_id , and group by attribute job_id, and I want to display in descending by the X.
|
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 regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
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 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)
)
|
SELECT JOB_ID, SUM(MANAGER_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) GROUP BY JOB_ID ORDER BY JOB_ID DESC
|
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What are the languages that are used most often in songs?
|
CREATE TABLE song (
song_name text,
artist_name text,
country text,
f_id number,
genre_is text,
rating number,
languages text,
releasedate time,
resolution number
)
CREATE TABLE genre (
g_name text,
rating text,
most_popular_in text
)
CREATE TABLE artist (
artist_name text,
country text,
gender text,
preferred_genre text
)
CREATE TABLE files (
f_id number,
artist_name text,
file_size text,
duration text,
formats text
)
|
SELECT languages FROM song GROUP BY languages ORDER BY COUNT(*) DESC LIMIT 1
|
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What's the longitude named zipaltonal fluctus in 1997 with a diameter smaller than 490?
|
CREATE TABLE table_name_41 (longitude VARCHAR, name VARCHAR, year_named VARCHAR, diameter__km_ VARCHAR)
|
SELECT longitude FROM table_name_41 WHERE year_named = 1997 AND diameter__km_ < 490 AND name = "zipaltonal fluctus"
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Name the team for season 2010
|
CREATE TABLE table_24466191_1 (team VARCHAR, season VARCHAR)
|
SELECT team FROM table_24466191_1 WHERE season = 2010
|
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What conference has mayville state as the school?
|
CREATE TABLE table_name_71 (conference VARCHAR, school VARCHAR)
|
SELECT conference FROM table_name_71 WHERE school = "mayville state"
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Who directed the episode that had 0.54 million U.S. viewers?
|
CREATE TABLE table_3672 (
"No." real,
"#" real,
"Title" text,
"Directed by" text,
"Story by" text,
"Teleplay by" text,
"Original air date" text,
"U.S. viewers (millions)" text
)
|
SELECT "Directed by" FROM table_3672 WHERE "U.S. viewers (millions)" = '0.54'
|
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