NATURAL_LANG
stringlengths 0
446
| SCHEMA
stringlengths 27
2.21k
| SQL
stringlengths 18
453
| input_ids
list | attention_mask
list | labels
list |
|---|---|---|---|---|---|
Which Nationality has a Date of 8 may 1942?
|
CREATE TABLE table_name_39 (
nationality VARCHAR,
date VARCHAR
)
|
SELECT nationality FROM table_name_39 WHERE date = "8 may 1942"
|
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What is the current account balance for a GDP at current prices of 142.640?
|
CREATE TABLE table_30133_1 (
current_account_balance__percent_of_gdp_ VARCHAR,
gdp_at_current_prices__usd_billions_ VARCHAR
)
|
SELECT current_account_balance__percent_of_gdp_ FROM table_30133_1 WHERE gdp_at_current_prices__usd_billions_ = "142.640"
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What is the type of turbine having fewer than 17 units and located in County Laois?
|
CREATE TABLE table_name_65 (type VARCHAR, turbines VARCHAR, location VARCHAR)
|
SELECT type FROM table_name_65 WHERE turbines < 17 AND location = "county laois"
|
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What was the date of the game with a result of 3 2?
|
CREATE TABLE table_name_3 (
date VARCHAR,
result VARCHAR
)
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SELECT date FROM table_name_3 WHERE result = "3–2"
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whose time is more than . 24.00 ?
|
CREATE TABLE table_204_401 (
id number,
"rank" number,
"lane" number,
"name" text,
"nationality" text,
"react" number,
"time" number,
"notes" text
)
|
SELECT "name" FROM table_204_401 WHERE "time" > 24.00
|
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Who held the Communications Rep position in 2011?
|
CREATE TABLE table_name_65 (position VARCHAR)
|
SELECT 2011 FROM table_name_65 WHERE position = "communications rep"
|
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What is the resulting loss when a save is ||12,838||48 35?
|
CREATE TABLE table_11956 (
"Date" text,
"Opponent" text,
"Score" text,
"Loss" text,
"Save" text
)
|
SELECT "Loss" FROM table_11956 WHERE "Save" = '||12,838||48–35'
|
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With a 1986 of NH and a career SR of 0 / 5 what is the results in 1985?
|
CREATE TABLE table_name_70 (career_sr VARCHAR)
|
SELECT 1985 FROM table_name_70 WHERE career_sr = "0 / 5" AND 1986 = "nh"
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what is average age of patients whose gender is f and discharge location is long term care hospital?
|
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 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 AVG(demographic.age) FROM demographic WHERE demographic.gender = "F" AND demographic.discharge_location = "LONG TERM CARE HOSPITAL"
|
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count the number of patients whose admission type is urgent and item id is 50801?
|
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 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
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_type = "URGENT" AND lab.itemid = "50801"
|
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What is the Sport with a Name that is gustav larsson?
|
CREATE TABLE table_name_9 (sport VARCHAR, name VARCHAR)
|
SELECT sport FROM table_name_9 WHERE name = "gustav larsson"
|
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What year was Stephenson the builder?
|
CREATE TABLE table_name_93 (
built VARCHAR,
builder VARCHAR
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|
SELECT built FROM table_name_93 WHERE builder = "stephenson"
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Name the resolution for ketftv.com and callsign of kldo-dt2
|
CREATE TABLE table_name_87 (resolution VARCHAR, official_website VARCHAR, callsign VARCHAR)
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SELECT resolution FROM table_name_87 WHERE official_website = "ketftv.com" AND callsign = "kldo-dt2"
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How many number of site have May 1, 2004 as the date?
|
CREATE TABLE table_24782 (
"Date" text,
"Time" text,
"Opponent" text,
"Rank#" text,
"Site" text,
"Result" text,
"Attendance" text,
"Winning Pitcher" text,
"Losing Pitcher" text
)
|
SELECT COUNT("Site") FROM table_24782 WHERE "Date" = 'May 1, 2004'
|
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Which player has rank 1?
|
CREATE TABLE table_34448 (
"Rank" real,
"Player" text,
"Country" text,
"Earnings ( $ )" real,
"Wins" real
)
|
SELECT "Player" FROM table_34448 WHERE "Rank" = '1'
|
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What is the 3rd place team for the year of 1955?
|
CREATE TABLE table_18618672_2 (year VARCHAR)
|
SELECT 3 AS rd_place_team FROM table_18618672_2 WHERE year = 1955
|
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What is the average, minimum, maximum, and total transaction amount?
|
CREATE TABLE Financial_transactions (
transaction_amount INTEGER
)
|
SELECT AVG(transaction_amount), MIN(transaction_amount), MAX(transaction_amount), SUM(transaction_amount) FROM Financial_transactions
|
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Which Score has a Place of t5, and a Country of united states?
|
CREATE TABLE table_name_30 (score VARCHAR, place VARCHAR, country VARCHAR)
|
SELECT score FROM table_name_30 WHERE place = "t5" AND country = "united states"
|
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provide the number of patients whose days of hospital stay is greater than 5 and drug type is base?
|
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 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 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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.days_stay > "5" AND prescriptions.drug_type = "BASE"
|
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What is the total amount of points when the played number was less than 12?
|
CREATE TABLE table_name_93 (
points INTEGER,
played INTEGER
)
|
SELECT SUM(points) FROM table_name_93 WHERE played < 12
|
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What is the highest number of matches with more than 18 points and more than 1 draw?
|
CREATE TABLE table_name_37 (
match INTEGER,
points VARCHAR,
draw VARCHAR
)
|
SELECT MAX(match) FROM table_name_37 WHERE points > 18 AND draw > 1
|
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On what date was the game where is was later than Week 4 of the season and the opponent was the New York Giants?
|
CREATE TABLE table_name_54 (date VARCHAR, week VARCHAR, opponent VARCHAR)
|
SELECT date FROM table_name_54 WHERE week > 4 AND opponent = "new york giants"
|
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3,
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833,
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953,
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4350,
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5062,
549,
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427,
471,
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] |
A pie chart for what are the number of the facility codes of the apartments with more than four bedrooms?
|
CREATE TABLE Guests (
guest_id INTEGER,
gender_code CHAR(1),
guest_first_name VARCHAR(80),
guest_last_name VARCHAR(80),
date_of_birth DATETIME
)
CREATE TABLE Apartment_Facilities (
apt_id INTEGER,
facility_code CHAR(15)
)
CREATE TABLE View_Unit_Status (
apt_id INTEGER,
apt_booking_id INTEGER,
status_date DATETIME,
available_yn BIT
)
CREATE TABLE Apartments (
apt_id INTEGER,
building_id INTEGER,
apt_type_code CHAR(15),
apt_number CHAR(10),
bathroom_count INTEGER,
bedroom_count INTEGER,
room_count CHAR(5)
)
CREATE TABLE Apartment_Bookings (
apt_booking_id INTEGER,
apt_id INTEGER,
guest_id INTEGER,
booking_status_code CHAR(15),
booking_start_date DATETIME,
booking_end_date DATETIME
)
CREATE TABLE Apartment_Buildings (
building_id INTEGER,
building_short_name CHAR(15),
building_full_name VARCHAR(80),
building_description VARCHAR(255),
building_address VARCHAR(255),
building_manager VARCHAR(50),
building_phone VARCHAR(80)
)
|
SELECT facility_code, COUNT(facility_code) FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4 GROUP BY facility_code
|
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3064,
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] |
What's the Result for week 15?
|
CREATE TABLE table_name_53 (result VARCHAR, week VARCHAR)
|
SELECT result FROM table_name_53 WHERE week = 15
|
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Which Assist/pass has a Goal of 5?
|
CREATE TABLE table_70076 (
"Goal" text,
"Location" text,
"Lineup" text,
"Assist/pass" text,
"Score" text,
"Result" text,
"Competition" text
)
|
SELECT "Assist/pass" FROM table_70076 WHERE "Goal" = '5'
|
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Who was the minister for the CSV party with a present day end date?
|
CREATE TABLE table_name_43 (minister VARCHAR, party VARCHAR, end_date VARCHAR)
|
SELECT minister FROM table_name_43 WHERE party = "csv" AND end_date = "present day"
|
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What was Collingwood's score as the home team?
|
CREATE TABLE table_name_54 (home_team VARCHAR)
|
SELECT home_team AS score FROM table_name_54 WHERE home_team = "collingwood"
|
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Whihc Date is the lowest one that has a Competition of league, and a Venue of away, and an Opponent of swindon wildcats, and an Attendance larger than 1,201?
|
CREATE TABLE table_name_51 (date INTEGER, attendance VARCHAR, opponent VARCHAR, competition VARCHAR, venue VARCHAR)
|
SELECT MIN(date) FROM table_name_51 WHERE competition = "league" AND venue = "away" AND opponent = "swindon wildcats" AND attendance > 1 OFFSET 201
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Give the hometowns from which two or more gymnasts are from.
|
CREATE TABLE gymnast (
gymnast_id number,
floor_exercise_points number,
pommel_horse_points number,
rings_points number,
vault_points number,
parallel_bars_points number,
horizontal_bar_points number,
total_points number
)
CREATE TABLE people (
people_id number,
name text,
age number,
height number,
hometown text
)
|
SELECT T2.hometown FROM gymnast AS T1 JOIN people AS T2 ON T1.gymnast_id = T2.people_id GROUP BY T2.hometown HAVING COUNT(*) >= 2
|
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Who played over 46 games and allowed less than 195 goals?
|
CREATE TABLE table_67098 (
"Player" text,
"Years" text,
"Games played" real,
"Goals allowed" real,
"Goals against average" real
)
|
SELECT "Player" FROM table_67098 WHERE "Games played" > '46' AND "Goals allowed" < '195'
|
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Name the home team for manuka oval
|
CREATE TABLE table_14312471_3 (home_team VARCHAR, ground VARCHAR)
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SELECT home_team FROM table_14312471_3 WHERE ground = "Manuka Oval"
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Show the ids and names of all documents.
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CREATE TABLE Documents (document_id VARCHAR, document_name VARCHAR)
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SELECT document_id, document_name FROM Documents
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What rank is Takat riki?
|
CREATE TABLE table_58735 (
"Name" text,
"Total" real,
"First" text,
"Last" text,
"Highest rank" text
)
|
SELECT "Highest rank" FROM table_58735 WHERE "Name" = 'takatōriki'
|
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What year was The Saber nominated for best action?
|
CREATE TABLE table_61041 (
"Year" real,
"Award" text,
"Category" text,
"Title of work" text,
"Result" text
)
|
SELECT AVG("Year") FROM table_61041 WHERE "Title of work" = 'saber' AND "Category" = 'best action'
|
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What is the average of the Series #s that were directed by Matthew Penn?
|
CREATE TABLE table_name_42 (
series__number INTEGER,
directed_by VARCHAR
)
|
SELECT AVG(series__number) FROM table_name_42 WHERE directed_by = "matthew penn"
|
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What is the average rank of gol on airlines?
|
CREATE TABLE table_10133 (
"Rank" real,
"Airline" text,
"Country" text,
"Passengers Carried" real,
"Remarks" text,
"Alliance" text
)
|
SELECT AVG("Rank") FROM table_10133 WHERE "Airline" = 'gol'
|
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What is the model of the engine d5244 t7?
|
CREATE TABLE table_16828 (
"Model name" text,
"Power (ps)" real,
"Torque (Nm@rpm)" text,
"Displacement (cm\u00b3)" real,
"Engine code" text,
"Comment" text
)
|
SELECT "Model name" FROM table_16828 WHERE "Engine code" = 'D5244 T7'
|
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What is the pick number for Danny Green in a round less than 2?
|
CREATE TABLE table_47989 (
"Year" real,
"Round" real,
"Pick" real,
"Player" text,
"NBA Club" text
)
|
SELECT COUNT("Pick") FROM table_47989 WHERE "Player" = 'danny green' AND "Round" < '2'
|
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On what track is the Argent mortgage Indy 300 held?
|
CREATE TABLE table_2454550_1 (track VARCHAR, race_name VARCHAR)
|
SELECT track FROM table_2454550_1 WHERE race_name = "Argent Mortgage Indy 300"
|
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What series was directed by Frank Tashlin and has the production number, 8053?
|
CREATE TABLE table_name_28 (
series VARCHAR,
director VARCHAR,
production_num VARCHAR
)
|
SELECT series FROM table_name_28 WHERE director = "frank tashlin" AND production_num = "8053"
|
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] |
What Entrant older than 1950 has points smaller than 7?
|
CREATE TABLE table_name_82 (
entrant VARCHAR,
year VARCHAR,
points VARCHAR
)
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SELECT entrant FROM table_name_82 WHERE year > 1950 AND points < 7
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Who had the women's win when Norway was the winner overall in season 2001/02?
|
CREATE TABLE table_name_68 (winner VARCHAR, season VARCHAR)
|
SELECT winner AS Women FROM table_name_68 WHERE winner = "norway" AND season = "2001/02"
|
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return me the papers in PVLDB containing keyword ' Keyword search ' .
|
CREATE TABLE domain_publication (
did int,
pid int
)
CREATE TABLE journal (
homepage varchar,
jid int,
name varchar
)
CREATE TABLE organization (
continent varchar,
homepage varchar,
name varchar,
oid int
)
CREATE TABLE publication (
abstract varchar,
cid int,
citation_num int,
jid int,
pid int,
reference_num int,
title varchar,
year int
)
CREATE TABLE keyword (
keyword varchar,
kid int
)
CREATE TABLE cite (
cited int,
citing int
)
CREATE TABLE domain_author (
aid int,
did int
)
CREATE TABLE author (
aid int,
homepage varchar,
name varchar,
oid int
)
CREATE TABLE publication_keyword (
kid int,
pid int
)
CREATE TABLE domain_keyword (
did int,
kid int
)
CREATE TABLE domain_conference (
cid int,
did int
)
CREATE TABLE conference (
cid int,
homepage varchar,
name varchar
)
CREATE TABLE domain (
did int,
name varchar
)
CREATE TABLE domain_journal (
did int,
jid int
)
CREATE TABLE writes (
aid int,
pid int
)
|
SELECT publication.title FROM journal, keyword, publication, publication_keyword WHERE journal.name = 'PVLDB' AND keyword.keyword = 'Keyword search' AND publication_keyword.kid = keyword.kid AND publication.jid = journal.jid AND publication.pid = publication_keyword.pid
|
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What was the race for the world championship formula 1 at a venue of hungaroring?
|
CREATE TABLE table_name_4 (
race VARCHAR,
notes VARCHAR,
venue VARCHAR
)
|
SELECT race FROM table_name_4 WHERE notes = "world championship formula 1" AND venue = "hungaroring"
|
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List the position of players and the average number of points of players of each position by a bar chart, and display from low to high by the X.
|
CREATE TABLE player (
Player_ID int,
name text,
Position text,
Club_ID int,
Apps real,
Tries real,
Goals text,
Points real
)
CREATE TABLE club_rank (
Rank real,
Club_ID int,
Gold real,
Silver real,
Bronze real,
Total real
)
CREATE TABLE club (
Club_ID int,
name text,
Region text,
Start_year text
)
CREATE TABLE competition (
Competition_ID int,
Year real,
Competition_type text,
Country text
)
CREATE TABLE competition_result (
Competition_ID int,
Club_ID_1 int,
Club_ID_2 int,
Score text
)
|
SELECT Position, AVG(Points) FROM player GROUP BY Position ORDER BY Position
|
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What is the average age of all the dogs?
|
CREATE TABLE Dogs (age INTEGER)
|
SELECT AVG(age) FROM Dogs
|
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What is 2011, when 2008 is '2R'?
|
CREATE TABLE table_44847 (
"Tournament" text,
"2004" text,
"2005" text,
"2006" text,
"2007" text,
"2008" text,
"2009" text,
"2010" text,
"2011" text
)
|
SELECT "2011" FROM table_44847 WHERE "2008" = '2r'
|
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What's the name of train number 15647/48?
|
CREATE TABLE table_17417 (
"Train No." text,
"Train Name" text,
"Origin" text,
"Destination" text,
"Frequency" text
)
|
SELECT "Train Name" FROM table_17417 WHERE "Train No." = '15647/48'
|
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count the number of patients whose gender is m and primary disease is aortic insufficiency\re-do sternotomy; aortic valve replacement ?
|
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
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
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|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "M" AND demographic.diagnosis = "AORTIC INSUFFICIENCY\RE-DO STERNOTOMY; AORTIC VALVE REPLACEMENT "
|
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what is the name of the tournament where outcome is runner-up
|
CREATE TABLE table_29127804_3 (tournament VARCHAR, outcome VARCHAR)
|
SELECT tournament FROM table_29127804_3 WHERE outcome = "Runner-up"
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What is the High points with a Team with boston?
|
CREATE TABLE table_11833 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location Attendance" text,
"Record" text
)
|
SELECT "High points" FROM table_11833 WHERE "Team" = 'boston'
|
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count the number of patients admitted via emergency hospital room who had procedure on single vessel.
|
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 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
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_location = "EMERGENCY ROOM ADMIT" AND procedures.long_title = "Procedure on single vessel"
|
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give me the number of patients whose diagnoses long title is benign neoplasm of pituitary gland and craniopharyngeal duct and lab test abnormal status is delta?
|
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 COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.long_title = "Benign neoplasm of pituitary gland and craniopharyngeal duct" AND lab.flag = "delta"
|
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Which Mission has a Launch Date of december 30, 1970; 14:50 gmt?
|
CREATE TABLE table_57780 (
"Rocket launch" text,
"Launch Date" text,
"Mission" text,
"Institutional authority" text,
"Launch Site" text,
"Outcomes" text,
"Derivatives" text
)
|
SELECT "Mission" FROM table_57780 WHERE "Launch Date" = 'december 30, 1970; 14:50 gmt'
|
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What is the position of the player with more than 11 assists and 219 rebounds?
|
CREATE TABLE table_name_85 (pos VARCHAR, asts VARCHAR, rebs VARCHAR)
|
SELECT pos FROM table_name_85 WHERE asts > 11 AND rebs = 219
|
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What was the venue when Collingwood was the away team?
|
CREATE TABLE table_name_49 (
venue VARCHAR,
away_team VARCHAR
)
|
SELECT venue FROM table_name_49 WHERE away_team = "collingwood"
|
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Find products with max page size as "A4" and pages per minute color smaller than 5.
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CREATE TABLE product (product VARCHAR, max_page_size VARCHAR, pages_per_minute_color VARCHAR)
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SELECT product FROM product WHERE max_page_size = "A4" AND pages_per_minute_color < 5
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What is the first yar that someone won with a score of 68-66-68-71=273?
|
CREATE TABLE table_18862490_2 (
year INTEGER,
score VARCHAR
)
|
SELECT MIN(year) FROM table_18862490_2 WHERE score = 68 - 66 - 68 - 71 = 273
|
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Which Home team score has a Home team of geelong?
|
CREATE TABLE table_name_47 (home_team VARCHAR)
|
SELECT home_team AS score FROM table_name_47 WHERE home_team = "geelong"
|
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Who was the Opponent in the match with a Score of 6–3, 6–4?
|
CREATE TABLE table_name_61 (opponent VARCHAR, score VARCHAR)
|
SELECT opponent FROM table_name_61 WHERE score = "6–3, 6–4"
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What is the first name of each student enrolled in class ACCT-211?
|
CREATE TABLE student (stu_fname VARCHAR, stu_num VARCHAR); CREATE TABLE CLASS (class_code VARCHAR, crs_code VARCHAR); CREATE TABLE enroll (class_code VARCHAR, stu_num VARCHAR)
|
SELECT T3.stu_fname FROM CLASS AS T1 JOIN enroll AS T2 ON T1.class_code = T2.class_code JOIN student AS T3 ON T2.stu_num = T3.stu_num WHERE T1.crs_code = 'ACCT-211'
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Name the country for the 9th and sign of g e
|
CREATE TABLE table_name_51 (
country VARCHAR,
date VARCHAR,
sign VARCHAR
)
|
SELECT country FROM table_name_51 WHERE date = "9th" AND sign = "g e"
|
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give me the number of patients whose diagnoses short title is long-term use steroids?
|
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 COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE diagnoses.short_title = "Long-term use steroids"
|
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What winner has pierre rolland as mountains classification, with 7 as the stage?
|
CREATE TABLE table_name_14 (
winner VARCHAR,
mountains_classification VARCHAR,
stage VARCHAR
)
|
SELECT winner FROM table_name_14 WHERE mountains_classification = "pierre rolland" AND stage = "7"
|
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Name the date with score of 9-2
|
CREATE TABLE table_39536 (
"Date" text,
"Opponent" text,
"Score" text,
"Loss" text,
"Attendance" real,
"Record" text
)
|
SELECT "Date" FROM table_39536 WHERE "Score" = '9-2'
|
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What venue has 7964 pb notes?
|
CREATE TABLE table_13590 (
"Year" real,
"Competition" text,
"Venue" text,
"Position" text,
"Event" text,
"Notes" text
)
|
SELECT "Venue" FROM table_13590 WHERE "Notes" = '7964 pb'
|
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What language is the film La Diagonale du Fou in?
|
CREATE TABLE table_name_24 (
language VARCHAR,
original_title VARCHAR
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|
SELECT language FROM table_name_24 WHERE original_title = "la diagonale du fou"
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What is the bore of the boat howitzers with a 12-pdr heavy designation?
|
CREATE TABLE table_name_8 (bore VARCHAR, designation VARCHAR)
|
SELECT bore FROM table_name_8 WHERE designation = "12-pdr heavy"
|
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What's the ht for the model released on June 4, 2008?
|
CREATE TABLE table_27277284_28 (ht VARCHAR, release_date VARCHAR)
|
SELECT ht FROM table_27277284_28 WHERE release_date = "June 4, 2008"
|
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If the amount of viewers is 2.48 million, what is the original air date?
|
CREATE TABLE table_73691 (
"Series #" real,
"Season #" text,
"Episode" text,
"Directed by" text,
"Written by" text,
"Original air date" text,
"Viewers (in millions)" text
)
|
SELECT "Original air date" FROM table_73691 WHERE "Viewers (in millions)" = '2.48'
|
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[
3,
23143,
14196,
96,
667,
3380,
10270,
799,
833,
121,
21680,
953,
834,
4552,
3951,
536,
549,
17444,
427,
96,
15270,
277,
41,
77,
4040,
61,
121,
3274,
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4416,
3707,
31,
1,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
Visualize a bar chart that X-axis is the gender and compute the number of players in each gender as a Y-axis, and rank from high to low by the bars please.
|
CREATE TABLE club (
Club_ID int,
Club_name text,
Region text,
Start_year int
)
CREATE TABLE coach (
Coach_ID int,
Coach_name text,
Gender text,
Club_ID int,
Rank int
)
CREATE TABLE player_coach (
Player_ID int,
Coach_ID int,
Starting_year int
)
CREATE TABLE match_result (
Rank int,
Club_ID int,
Gold int,
Big_Silver int,
Small_Silver int,
Bronze int,
Points int
)
CREATE TABLE player (
Player_ID int,
Sponsor_name text,
Player_name text,
Gender text,
Residence text,
Occupation text,
Votes int,
Rank text
)
|
SELECT Gender, COUNT(Gender) FROM player GROUP BY Gender ORDER BY Gender DESC
|
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3,
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350,
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599,
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61,
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350,
4630,
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272,
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11300,
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309,
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] |
has patient 011-31236 actually been admitted since 2100?
|
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime 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 microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime 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 medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
|
SELECT COUNT(*) > 0 FROM patient WHERE patient.uniquepid = '011-31236' AND STRFTIME('%y', patient.hospitaladmittime) >= '2100'
|
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How many episode titles does episode 19 in the season have?
|
CREATE TABLE table_4107 (
"No. in series" real,
"No. in season" real,
"Title" text,
"Directed by" text,
"Written by" text,
"Original air date" text,
"Viewers *" text
)
|
SELECT COUNT("Title") FROM table_4107 WHERE "No. in season" = '19'
|
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] |
Tell me the most Att with a long of 27 with yards longer than 27
|
CREATE TABLE table_name_24 (att INTEGER, long VARCHAR, yards VARCHAR)
|
SELECT MAX(att) FROM table_name_24 WHERE long = 27 AND yards > 27
|
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Show the company name with the number of gas station in a pie chart.
|
CREATE TABLE company (
Company_ID int,
Rank int,
Company text,
Headquarters text,
Main_Industry text,
Sales_billion real,
Profits_billion real,
Assets_billion real,
Market_Value real
)
CREATE TABLE station_company (
Station_ID int,
Company_ID int,
Rank_of_the_Year int
)
CREATE TABLE gas_station (
Station_ID int,
Open_Year int,
Location text,
Manager_Name text,
Vice_Manager_Name text,
Representative_Name text
)
|
SELECT Company, COUNT(*) FROM station_company AS T1 JOIN company AS T2 ON T1.Company_ID = T2.Company_ID GROUP BY T1.Company_ID
|
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Name the comprehension for non-fluent, effortful, slow
|
CREATE TABLE table_2088_1 (
auditory_comprehension VARCHAR,
fluency VARCHAR
)
|
SELECT auditory_comprehension FROM table_2088_1 WHERE fluency = "non-fluent, effortful, slow"
|
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What is the low win count with more than 72 goals?
|
CREATE TABLE table_name_1 (wins INTEGER, goals_for INTEGER)
|
SELECT MIN(wins) FROM table_name_1 WHERE goals_for > 72
|
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How many times was the final score l 96 123 (ot)?
|
CREATE TABLE table_11964154_7 (
record VARCHAR,
score VARCHAR
)
|
SELECT COUNT(record) FROM table_11964154_7 WHERE score = "L 96–123 (OT)"
|
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When was the game when Footscray was the away team?
|
CREATE TABLE table_name_38 (
date VARCHAR,
away_team VARCHAR
)
|
SELECT date FROM table_name_38 WHERE away_team = "footscray"
|
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What was the outcome for the Rome 2, Italy tournament?
|
CREATE TABLE table_name_73 (outcome VARCHAR, tournament VARCHAR)
|
SELECT outcome FROM table_name_73 WHERE tournament = "rome 2, italy"
|
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Which tyres has more than 5 laps with team nissan motorsports international?
|
CREATE TABLE table_name_89 (tyres VARCHAR, laps VARCHAR, team VARCHAR)
|
SELECT tyres FROM table_name_89 WHERE laps > 5 AND team = "nissan motorsports international"
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how many patients whose age is less than 27 and lab test name is creatine kinase (ck)?
|
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 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 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 < "27" AND lab.label = "Creatine Kinase (CK)"
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What is 2007, when 2003 is "85"?
|
CREATE TABLE table_name_37 (Id VARCHAR)
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SELECT 2007 FROM table_name_37 WHERE 2003 = "85"
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What game was Minnesota the team?
|
CREATE TABLE table_46837 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location Attendance" text,
"Record" text
)
|
SELECT COUNT("Game") FROM table_46837 WHERE "Team" = 'minnesota'
|
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What is the Average Qualifying Goals for Jack Froggatt where the Final Goals is greater than 0?
|
CREATE TABLE table_name_3 (qualifying_goals INTEGER, player VARCHAR, finals_goals VARCHAR)
|
SELECT AVG(qualifying_goals) FROM table_name_3 WHERE player = "jack froggatt" AND finals_goals > 0
|
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provide the number of patients whose primary disease is bladder cancer/sda and year of birth is less than 1821?
|
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
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 WHERE demographic.diagnosis = "BLADDER CANCER/SDA" AND demographic.dob_year < "1821"
|
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I want to know the stadium for tennessee titans visiting
|
CREATE TABLE table_78517 (
"Date" text,
"Visiting Team" text,
"Final Score" text,
"Host Team" text,
"Stadium" text
)
|
SELECT "Stadium" FROM table_78517 WHERE "Visiting Team" = 'tennessee titans'
|
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what is the owner of the callsign wliw
|
CREATE TABLE table_1979203_1 (
owner VARCHAR,
callsign VARCHAR
)
|
SELECT owner FROM table_1979203_1 WHERE callsign = "WLIW"
|
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3,
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] |
What is the number of games for the season with 10 ties?
|
CREATE TABLE table_40756 (
"Season" text,
"Games" real,
"Lost" real,
"Tied" real,
"Points" real,
"Pct %" real,
"Goals for" real,
"Goals against" real
)
|
SELECT "Games" FROM table_40756 WHERE "Tied" = '10'
|
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] |
How many unique school districts in Indiana?
|
CREATE TABLE finrev_fed_17 (
state_code number,
idcensus number,
school_district text,
nces_id text,
yr_data number,
t_fed_rev number,
c14 number,
c25 number
)
CREATE TABLE finrev_fed_key_17 (
state_code number,
state text,
#_records text
)
CREATE TABLE ndecoreexcel_math_grade8 (
year number,
state text,
all_students text,
average_scale_score number
)
|
SELECT COUNT(DISTINCT school_district) FROM finrev_fed_17 AS T1 JOIN finrev_fed_key_17 AS T2 ON T1.state_code = T2.state_code WHERE T2.state = "Indiana"
|
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Which Tournament has Pat Cash as a runner-up?
|
CREATE TABLE table_57045 (
"Tournament" text,
"Winner" text,
"Runner-up" text,
"Score" text,
"Third Place" text
)
|
SELECT "Tournament" FROM table_57045 WHERE "Runner-up" = 'pat cash'
|
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calculate the number of patients who were admitted to transfer from hosp/extram and were treated with aztr1000fb
|
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 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
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_location = "TRANSFER FROM HOSP/EXTRAM" AND prescriptions.formulary_drug_cd = "AZTR1000FB"
|
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how many feet separate the 7th and 8th ranked highest peaks ?
|
CREATE TABLE table_203_808 (
id number,
"rank" number,
"peak name" text,
"elevation" text,
"location" text,
"notes" text
)
|
SELECT (SELECT "elevation" FROM table_203_808 WHERE "rank" = 7) - (SELECT "elevation" FROM table_203_808 WHERE "rank" = 8)
|
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[
3,
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41,
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96,
15,
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257,
121,
21680,
953,
834,
23330,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
Find the last name of the first ever contact person of the organization with the highest UK Vat number.
|
CREATE TABLE organizations (
uk_vat_number INTEGER
)
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.uk_vat_number = (SELECT MAX(uk_vat_number) FROM organizations) ORDER BY t2.date_contact_to LIMIT 1
|
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[
3,
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14196,
3,
17,
5787,
17027,
138,
834,
5064,
834,
4350,
21680,
2371,
6157,
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536,
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17,
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5411,
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1,
-100,
-100,
-100,
-100,
-100,
-100
] |
state the round that had a game score 50-10
|
CREATE TABLE table_21256068_3 (round VARCHAR, score VARCHAR)
|
SELECT round FROM table_21256068_3 WHERE score = "50-10"
|
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3,
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14196,
1751,
21680,
953,
834,
357,
10124,
3328,
3651,
834,
519,
549,
17444,
427,
2604,
3274,
96,
1752,
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-100,
-100,
-100,
-100,
-100
] |
how many regions were affected by each storm?, display x-axis in asc order.
|
CREATE TABLE storm (
Storm_ID int,
Name text,
Dates_active text,
Max_speed int,
Damage_millions_USD real,
Number_Deaths int
)
CREATE TABLE region (
Region_id int,
Region_code text,
Region_name text
)
CREATE TABLE affected_region (
Region_id int,
Storm_ID int,
Number_city_affected real
)
|
SELECT Name, COUNT(*) FROM storm AS T1 JOIN affected_region AS T2 ON T1.Storm_ID = T2.Storm_ID GROUP BY T1.Storm_ID ORDER BY Name
|
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3,
23143,
14196,
5570,
6,
2847,
17161,
599,
1935,
61,
21680,
5536,
6157,
332,
536,
3,
15355,
3162,
4161,
834,
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332,
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332,
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350,
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] |
Which Frequency MHz has a Call sign of k210dv?
|
CREATE TABLE table_name_35 (
frequency_mhz INTEGER,
call_sign VARCHAR
)
|
SELECT MAX(frequency_mhz) FROM table_name_35 WHERE call_sign = "k210dv"
|
[
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2469,
41,
7321,
834,
51,
107,
172,
3,
21342,
17966,
6,
580,
834,
6732,
584,
4280,
28027,
3,
61,
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What is the 8:00 feature with je at 7:00?
|
CREATE TABLE table_69427 (
"7:00" text,
"7:30" text,
"8:00" text,
"8:30" text,
"9:00" text,
"9:30" text,
"10:00" text
)
|
SELECT "8:00" FROM table_69427 WHERE "7:00" = 'je'
|
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What is the 1989 value with F in 1990?
|
CREATE TABLE table_name_95 (
Id VARCHAR
)
|
SELECT 1989 FROM table_name_95 WHERE 1990 = "f"
|
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What is the crowd size when Geelong is the away team?
|
CREATE TABLE table_4643 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
)
|
SELECT "Crowd" FROM table_4643 WHERE "Away team" = 'geelong'
|
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