NATURAL_LANG
stringlengths 0
446
| SCHEMA
stringlengths 27
2.21k
| SQL
stringlengths 18
453
| input_ids
list | attention_mask
list | labels
list |
|---|---|---|---|---|---|
what is subject name of subject id 2560?
|
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
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 demographic.name FROM demographic WHERE demographic.subject_id = "2560"
|
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Who was the musical guest when the panelists were Nancy Sorrell and Samia Smith?
|
CREATE TABLE table_41164 (
"Episode Number" real,
"Air Date" text,
"Guest Host" text,
"Musical Guest (Song performed)" text,
"Who knows the most about the guest host? panelists" text
)
|
SELECT "Musical Guest (Song performed)" FROM table_41164 WHERE "Who knows the most about the guest host? panelists" = 'nancy sorrell and samia smith'
|
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Who had the fastest lap in the race won by Team Impul at the Twin Ring Motegi circuit?
|
CREATE TABLE table_16670746_2 (
fastest_lap VARCHAR,
winning_team VARCHAR,
circuit VARCHAR
)
|
SELECT fastest_lap FROM table_16670746_2 WHERE winning_team = "Team Impul" AND circuit = "Twin Ring Motegi"
|
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What is Karl Wendlinger's total grid #?
|
CREATE TABLE table_52903 (
"Driver" text,
"Constructor" text,
"Laps" real,
"Time/Retired" text,
"Grid" real
)
|
SELECT COUNT("Grid") FROM table_52903 WHERE "Driver" = 'karl wendlinger'
|
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What was the premiere date of the season won by Matt Hoover?
|
CREATE TABLE table_name_32 (premiere VARCHAR, the_biggest_loser VARCHAR)
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SELECT premiere FROM table_name_32 WHERE the_biggest_loser = "matt hoover"
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] |
Find the number of members living in each address.
|
CREATE TABLE member (address VARCHAR)
|
SELECT COUNT(*), address FROM member GROUP BY address
|
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Who took first place in week 6?
|
CREATE TABLE table_2054561_2 (
first_place VARCHAR,
no_of_weeks VARCHAR
)
|
SELECT COUNT(first_place) FROM table_2054561_2 WHERE no_of_weeks = 6
|
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How much time, in minutes, did Chanel Chisholm play?
|
CREATE TABLE table_73478 (
"Player" text,
"Games Played" real,
"Minutes" real,
"Field Goals" real,
"Three Pointers" real,
"Free Throws" real,
"Rebounds" real,
"Assists" real,
"Blocks" real,
"Steals" real,
"Points" real
)
|
SELECT COUNT("Minutes") FROM table_73478 WHERE "Player" = 'Chanel Chisholm'
|
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show me the number of patients on additive type drug prescription who have a diagnoses of personal history of malignant neoplasm of bladder.
|
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 procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
|
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 = "Hx of bladder malignancy" AND prescriptions.drug_type = "ADDITIVE"
|
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Position in nhl team centre are all smaller pick than 243.0
|
CREATE TABLE table_15952 (
"Pick" real,
"Player" text,
"Position" text,
"Nationality" text,
"NHL team" text,
"College/junior/club team" text
)
|
SELECT "NHL team" FROM table_15952 WHERE "Position" = 'Centre' AND "Pick" < '243.0'
|
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Give me the number of patients who were admitted before the year 2144 and had a complete heart block.
|
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 WHERE demographic.diagnosis = "COMPLETE HEART BLOCK" AND demographic.admityear < "2144"
|
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which competitor finished immediately after karl hahnel ?
|
CREATE TABLE table_204_521 (
id number,
"rank" number,
"name" text,
"nationality" text,
"time (hand)" text,
"notes" text
)
|
SELECT "name" FROM table_204_521 WHERE "rank" = (SELECT "rank" FROM table_204_521 WHERE "name" = 'karl hahnel') + 1
|
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During the quarter 2012 Q4, how many millions of android phones were shipped?
|
CREATE TABLE table_972 (
"Quarter" text,
"Android" text,
"iOS" text,
"Symbian" text,
"BlackBerry OS" text,
"Linux" text,
"Windows Phone" text,
"Other" text,
"Total" text
)
|
SELECT COUNT("Android") FROM table_972 WHERE "Quarter" = '2012 Q4'
|
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provide the number of patients whose days of hospital stay is greater than 8 and drug name is acetylcysteine 20%?
|
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 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
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.days_stay > "8" AND prescriptions.drug = "Acetylcysteine 20%"
|
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for the ben williams name what was the previous club
|
CREATE TABLE table_27998152_1 (
previous_club VARCHAR,
name VARCHAR
)
|
SELECT previous_club FROM table_27998152_1 WHERE name = "Ben Williams"
|
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Name the tournament for 2006 of a, 1996 of 1r and 2004 of 1r
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CREATE TABLE table_name_68 (tournament VARCHAR)
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SELECT tournament FROM table_name_68 WHERE 2006 = "a" AND 1996 = "1r" AND 2004 = "1r"
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What is the paper about convolution from brian curless ?
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SELECT DISTINCT author.authorid, paper.paperid FROM author, keyphrase, paper, paperkeyphrase, writes WHERE author.authorname = 'brian curless' AND keyphrase.keyphrasename = 'convolution' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid AND writes.authorid = author.authorid AND writes.paperid = paper.paperid
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What is Norikazu Murakami's total?
|
CREATE TABLE table_name_41 (total VARCHAR, name VARCHAR)
|
SELECT total FROM table_name_41 WHERE name = "norikazu murakami"
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-100,
-100,
-100,
-100
] |
What is the roll number of the school with a state authority in Waiotira?
|
CREATE TABLE table_name_76 (
roll VARCHAR,
authority VARCHAR,
area VARCHAR
)
|
SELECT roll FROM table_name_76 WHERE authority = "state" AND area = "waiotira"
|
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Please list the name and id of all artists that have at least 3 albums in alphabetical order.
|
CREATE TABLE ARTIST (
Name VARCHAR,
ArtistID VARCHAR
)
CREATE TABLE ALBUM (
ArtistId VARCHAR
)
|
SELECT T2.Name, T1.ArtistId FROM ALBUM AS T1 JOIN ARTIST AS T2 ON T1.ArtistId = T2.ArtistId GROUP BY T1.ArtistId HAVING COUNT(*) >= 3 ORDER BY T2.Name
|
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What is the highest number of the fastest laps when there were 0 poles, more than 2 podiums, and more than 15 races?
|
CREATE TABLE table_name_9 (fastest_laps INTEGER, podiums VARCHAR, poles VARCHAR, races VARCHAR)
|
SELECT MAX(fastest_laps) FROM table_name_9 WHERE poles = 0 AND races > 15 AND podiums > 2
|
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On what date was the race in Melbourne, Victoria?
|
CREATE TABLE table_50895 (
"Race Title" text,
"Circuit" text,
"City / State" text,
"Date" text,
"Winner" text,
"Team" text
)
|
SELECT "Date" FROM table_50895 WHERE "City / State" = 'melbourne, victoria'
|
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how many female patients had a lab test for vancomycin?
|
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.gender = "F" AND lab.label = "Vancomycin"
|
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What is the original air date of the Jamie Babbit directed episode?
|
CREATE TABLE table_11404452_1 (original_air_date VARCHAR, director VARCHAR)
|
SELECT original_air_date FROM table_11404452_1 WHERE director = "Jamie Babbit"
|
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In Tie #19, what was the name of the away team?
|
CREATE TABLE table_name_27 (
away_team VARCHAR,
tie_no VARCHAR
)
|
SELECT away_team FROM table_name_27 WHERE tie_no = "19"
|
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Name the number of other builders for nant, visual studio
|
CREATE TABLE table_22903426_1 (other_builders VARCHAR, windows_builders VARCHAR)
|
SELECT COUNT(other_builders) FROM table_22903426_1 WHERE windows_builders = "NAnt, Visual Studio"
|
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How many numbers were recorded under revenue when revenue per capita was $6,126?
|
CREATE TABLE table_19506 (
"Rank" real,
"State" text,
"Revenue (millions)" text,
"Population" real,
"Revenue per capita" text,
"Spending (millions)" text,
"Spending per capita" text,
"Net contribution per capita" text,
"Presidential majority 2000/2004" text,
"Presidential majority 2008" text,
"Presidential majority 2012" text,
"Obamacare: Fed/ State/ Partnership" text
)
|
SELECT COUNT("Revenue (millions)") FROM table_19506 WHERE "Revenue per capita" = '$6,126'
|
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If the qatari male is 1104, what is the grand total?
|
CREATE TABLE table_26214389_3 (
grand_total INTEGER,
qatari_male VARCHAR
)
|
SELECT MAX(grand_total) FROM table_26214389_3 WHERE qatari_male = 1104
|
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How many connections aux in using FIrewire?
|
CREATE TABLE table_24384861_1 (
aux_in VARCHAR,
dock_connection VARCHAR
)
|
SELECT COUNT(aux_in) FROM table_24384861_1 WHERE dock_connection = "FireWire"
|
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what are the different card types, and how many transactions have been made with each?
|
CREATE TABLE Customers (
customer_id INTEGER,
customer_first_name VARCHAR(20),
customer_last_name VARCHAR(20),
customer_address VARCHAR(255),
customer_phone VARCHAR(255),
customer_email VARCHAR(255),
other_customer_details VARCHAR(255)
)
CREATE TABLE Financial_Transactions (
transaction_id INTEGER,
previous_transaction_id INTEGER,
account_id INTEGER,
card_id INTEGER,
transaction_type VARCHAR(15),
transaction_date DATETIME,
transaction_amount DOUBLE,
transaction_comment VARCHAR(255),
other_transaction_details VARCHAR(255)
)
CREATE TABLE Customers_Cards (
card_id INTEGER,
customer_id INTEGER,
card_type_code VARCHAR(15),
card_number VARCHAR(80),
date_valid_from DATETIME,
date_valid_to DATETIME,
other_card_details VARCHAR(255)
)
CREATE TABLE Accounts (
account_id INTEGER,
customer_id INTEGER,
account_name VARCHAR(50),
other_account_details VARCHAR(255)
)
|
SELECT card_type_code, COUNT(*) FROM Financial_Transactions AS T1 JOIN Customers_Cards AS T2 ON T1.card_id = T2.card_id GROUP BY T2.card_type_code
|
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How much Elevation (m) has a Prominence (m) larger than 1,754?
|
CREATE TABLE table_66022 (
"Peak" text,
"Country" text,
"Elevation (m)" real,
"Prominence (m)" real,
"Col (m)" real
)
|
SELECT SUM("Elevation (m)") FROM table_66022 WHERE "Prominence (m)" > '1,754'
|
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] |
What is the Playoffs MVP of the game with a Result of 4 1 with Champions Daejeon Hyundai Dynat?
|
CREATE TABLE table_name_65 (
playoffs_mvp VARCHAR,
result VARCHAR,
champions VARCHAR
)
|
SELECT playoffs_mvp FROM table_name_65 WHERE result = "4–1" AND champions = "daejeon hyundai dynat"
|
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what would be the maximum monthly number of patients diagnosed with meningitis - acute since 2 years ago?
|
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 intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE 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 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 microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
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
)
|
SELECT MAX(t1.c1) FROM (SELECT COUNT(DISTINCT diagnosis.patientunitstayid) AS c1 FROM diagnosis WHERE diagnosis.diagnosisname = 'meningitis - acute' AND DATETIME(diagnosis.diagnosistime) >= DATETIME(CURRENT_TIME(), '-2 year') GROUP BY STRFTIME('%y-%m', diagnosis.diagnosistime)) AS t1
|
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What is Career Win-Loss, when Tournament is "Hamburg"?
|
CREATE TABLE table_name_11 (career_win_loss VARCHAR, tournament VARCHAR)
|
SELECT career_win_loss FROM table_name_11 WHERE tournament = "hamburg"
|
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What is the largest MINS for the San Jose Earthquakes with a SHTS less than 166?
|
CREATE TABLE table_6736 (
"Rank" real,
"Goalkeeper" text,
"Club" text,
"MINS" real,
"SHTS" real,
"W-L-T" text
)
|
SELECT MAX("MINS") FROM table_6736 WHERE "Club" = 'san jose earthquakes' AND "SHTS" < '166'
|
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Which strain has 1,312 genes?
|
CREATE TABLE table_58060 (
"Species" text,
"Strain" text,
"Type" text,
"Base Pairs" text,
"Genes" text
)
|
SELECT "Strain" FROM table_58060 WHERE "Genes" = '1,312'
|
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List the number of each company whose office is in the building in a bar chart, and sort by the how many name in desc.
|
CREATE TABLE Companies (
id int,
name text,
Headquarters text,
Industry text,
Sales_billion real,
Profits_billion real,
Assets_billion real,
Market_Value_billion text
)
CREATE TABLE Office_locations (
building_id int,
company_id int,
move_in_year int
)
CREATE TABLE buildings (
id int,
name text,
City text,
Height int,
Stories int,
Status text
)
|
SELECT T3.name, COUNT(T3.name) FROM Office_locations AS T1 JOIN buildings AS T2 ON T1.building_id = T2.id JOIN Companies AS T3 ON T1.company_id = T3.id GROUP BY T3.name ORDER BY COUNT(T3.name) DESC
|
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-100
] |
What is the high point total associated with a difference of 1 and 0 draws?
|
CREATE TABLE table_37999 (
"Position" real,
"Team" text,
"Points" real,
"Played" real,
"Drawn" real,
"Lost" real,
"Against" real,
"Difference" text
)
|
SELECT MAX("Points") FROM table_37999 WHERE "Difference" = '1' AND "Drawn" = '0'
|
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How many total appearances are there when the league appearances is 192?
|
CREATE TABLE table_31309 (
"Name" text,
"Nationality" text,
"Malm\u00f6 FF career" text,
"League appearances" real,
"League goals" real,
"Total appearances" real,
"Total goals" real
)
|
SELECT COUNT("Total appearances") FROM table_31309 WHERE "League appearances" = '192'
|
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how many players won at least later than 2010 ?
|
CREATE TABLE table_204_310 (
id number,
"month" text,
"year" number,
"player" text,
"county" text,
"club" text,
"position" number
)
|
SELECT COUNT("player") FROM table_204_310 WHERE "year" > 2010
|
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How many runs did they get against new south wales in 2002/03?
|
CREATE TABLE table_name_13 (runs VARCHAR, opponent VARCHAR, season VARCHAR)
|
SELECT runs FROM table_name_13 WHERE opponent = "new south wales" AND season = "2002/03"
|
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How many u.s. viewers (million) have the number 16?
|
CREATE TABLE table_22894 (
"No." real,
"#" real,
"Title" text,
"Directed by" text,
"Written by" text,
"Original air date" text,
"Production code" text,
"U.S. viewers (million)" text
)
|
SELECT "U.S. viewers (million)" FROM table_22894 WHERE "#" = '16'
|
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What is the highest round for the pick from Finland?
|
CREATE TABLE table_36402 (
"Round" real,
"Player" text,
"Position" text,
"Nationality" text,
"College/Junior/Club Team" text
)
|
SELECT MAX("Round") FROM table_36402 WHERE "Nationality" = 'finland'
|
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who are all the players for st. thomas aquinas high school
|
CREATE TABLE table_17090 (
"Player" text,
"Position" text,
"School" text,
"Hometown" text,
"College" text
)
|
SELECT "Player" FROM table_17090 WHERE "School" = 'St. Thomas Aquinas High School'
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Which Investing Dragon has requested £100,000 and is supported by Entrepreneur Kay Russell?
|
CREATE TABLE table_name_43 (investing_dragon_s_ VARCHAR, money_requested__£_ VARCHAR, entrepreneur_s_ VARCHAR)
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SELECT investing_dragon_s_ FROM table_name_43 WHERE money_requested__£_ = "100,000" AND entrepreneur_s_ = "kay russell"
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How many people attended the game where Footscray was away?
|
CREATE TABLE table_name_29 (
crowd VARCHAR,
away_team VARCHAR
)
|
SELECT crowd FROM table_name_29 WHERE away_team = "footscray"
|
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Who was the opponent the Buffalo Bills played when their record was 4-4?
|
CREATE TABLE table_7508 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"Location" text,
"Record" text,
"Attendance" text
)
|
SELECT "Opponent" FROM table_7508 WHERE "Record" = '4-4'
|
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What's the call sign that has 20kw of power?
|
CREATE TABLE table_name_17 (call_sign VARCHAR, power__kw_ VARCHAR)
|
SELECT call_sign FROM table_name_17 WHERE power__kw_ = "20kw"
|
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Who did the high rebounds in the game against Boston?
|
CREATE TABLE table_27704187_7 (high_rebounds VARCHAR, team VARCHAR)
|
SELECT high_rebounds FROM table_27704187_7 WHERE team = "Boston"
|
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Find the total number of instructors for each department with a bar chart.
|
CREATE TABLE advisor (
s_ID varchar(5),
i_ID varchar(5)
)
CREATE TABLE prereq (
course_id varchar(8),
prereq_id varchar(8)
)
CREATE TABLE classroom (
building varchar(15),
room_number varchar(7),
capacity numeric(4,0)
)
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 course (
course_id varchar(8),
title varchar(50),
dept_name varchar(20),
credits numeric(2,0)
)
CREATE TABLE student (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
tot_cred numeric(3,0)
)
CREATE TABLE department (
dept_name varchar(20),
building varchar(15),
budget numeric(12,2)
)
CREATE TABLE instructor (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
salary numeric(8,2)
)
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 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 T1.dept_name, COUNT(DISTINCT T3.ID) FROM department AS T1 JOIN student AS T2 ON T1.dept_name = T2.dept_name JOIN instructor AS T3 ON T1.dept_name = T3.dept_name
|
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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 rank by the y-axis in asc.
|
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
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 SUM(MANAGER_ID)
|
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what is the name on top of the list ?
|
CREATE TABLE table_204_866 (
id number,
"name" text,
"lifetime" text,
"nationality" text,
"notable as" text,
"notes" text
)
|
SELECT "name" FROM table_204_866 WHERE id = 1
|
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Which opponent had 73,428 in attendance?
|
CREATE TABLE table_name_32 (
opponent VARCHAR,
attendance VARCHAR
)
|
SELECT opponent FROM table_name_32 WHERE attendance = "73,428"
|
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Which Prominence (m) has an Elevation (m) of 3,095?
|
CREATE TABLE table_64451 (
"Peak" text,
"Country" text,
"Elevation (m)" real,
"Prominence (m)" real,
"Col (m)" real
)
|
SELECT MIN("Prominence (m)") FROM table_64451 WHERE "Elevation (m)" = '3,095'
|
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What shows for money ( ) when South Africa is the country?
|
CREATE TABLE table_name_44 (
money___ INTEGER,
country VARCHAR
)
|
SELECT MAX(money___) AS £__ FROM table_name_44 WHERE country = "south africa"
|
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what is the number of patients whose gender is m and lab test name is nonsquamous epithelial cell?
|
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.gender = "M" AND lab.label = "NonSquamous Epithelial Cell"
|
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
Which Top-25 has a Top-5 smaller than 0?
|
CREATE TABLE table_35979 (
"Tournament" text,
"Wins" real,
"Top-5" real,
"Top-10" real,
"Top-25" real,
"Events" real,
"Cuts made" real
)
|
SELECT SUM("Top-25") FROM table_35979 WHERE "Top-5" < '0'
|
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[
3,
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180,
6122,
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] |
For those employees who do not work in departments with managers that have ids between 100 and 200, visualize a bar chart about the distribution of first_name and employee_id , and order FIRST_NAME in descending order.
|
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE 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 regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
|
SELECT FIRST_NAME, EMPLOYEE_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY FIRST_NAME DESC
|
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] |
What is the least amount of total medals won?
|
CREATE TABLE table_73378 (
"Rank" real,
"Athlete" text,
"Nation" text,
"Olympics" text,
"Gold" real,
"Silver" real,
"Bronze" real,
"Total(min. 2 medals)" real
)
|
SELECT MIN("Total(min. 2 medals)") FROM table_73378
|
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] |
How many rooms are there?
|
CREATE TABLE rooms (
roomid text,
roomname text,
beds number,
bedtype text,
maxoccupancy number,
baseprice number,
decor text
)
CREATE TABLE reservations (
code number,
room text,
checkin text,
checkout text,
rate number,
lastname text,
firstname text,
adults number,
kids number
)
|
SELECT COUNT(*) FROM rooms
|
[
32100,
32103,
32102,
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2801,
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23,
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381,
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336,
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what is the episode title on original air date of September 30, 2007?
|
CREATE TABLE table_23799417_2 (
title VARCHAR,
original_airing VARCHAR
)
|
SELECT title FROM table_23799417_2 WHERE original_airing = "September 30, 2007"
|
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What is the draw number of the Artist Dav Mcnamara and a place bigger than 4?
|
CREATE TABLE table_48472 (
"Draw" real,
"Artist" text,
"Song" text,
"Points" real,
"Place" real
)
|
SELECT COUNT("Draw") FROM table_48472 WHERE "Artist" = 'dav mcnamara' AND "Place" > '4'
|
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How many square miles of water is in Ramsey County with a geo id larger than 3807159460.0?
|
CREATE TABLE table_18600760_15 (
water__sqmi_ VARCHAR,
county VARCHAR,
geo_id VARCHAR
)
|
SELECT water__sqmi_ FROM table_18600760_15 WHERE county = "Ramsey" AND geo_id > 3807159460.0
|
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Which Country has a Place of t9, and a Score of 71-71-72=214, and a Player of ernie els?
|
CREATE TABLE table_48293 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" text
)
|
SELECT "Country" FROM table_48293 WHERE "Place" = 't9' AND "Score" = '71-71-72=214' AND "Player" = 'ernie els'
|
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how many patients whose days of hospital stay is greater than 6 and diagnoses icd9 code is 59654?
|
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.days_stay > "6" AND diagnoses.icd9_code = "59654"
|
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What is every average when number of dances is 1?
|
CREATE TABLE table_26375386_28 (
average VARCHAR,
number_of_dances VARCHAR
)
|
SELECT average FROM table_26375386_28 WHERE number_of_dances = 1
|
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When the seq is 41, what is the ability to compromise?
|
CREATE TABLE table_1855342_5 (
ability_to_compromise INTEGER,
seq VARCHAR
)
|
SELECT MAX(ability_to_compromise) FROM table_1855342_5 WHERE seq = "41"
|
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how many games did the club play in september ?
|
CREATE TABLE table_204_924 (
id number,
"match" number,
"date" text,
"ground" text,
"opponent" text,
"score1" text,
"pos." number,
"pts." number,
"gd" number
)
|
SELECT COUNT(*) FROM table_204_924 WHERE "date" = 9
|
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On what date was the handicap 8 st 12 lb?
|
CREATE TABLE table_2896329_1 (
date VARCHAR,
handicap VARCHAR
)
|
SELECT date FROM table_2896329_1 WHERE handicap = "8 st 12 lb"
|
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When was petter ronnquist picked?
|
CREATE TABLE table_name_49 (overall VARCHAR, player VARCHAR)
|
SELECT overall FROM table_name_49 WHERE player = "petter ronnquist"
|
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What was the name when the state was wey?
|
CREATE TABLE table_name_22 (
name VARCHAR,
state VARCHAR
)
|
SELECT name FROM table_name_22 WHERE state = "wey"
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Which years have a Decile of 4, an Authority of state, and a Name of mapiu school?
|
CREATE TABLE table_name_43 (
years VARCHAR,
name VARCHAR,
decile VARCHAR,
authority VARCHAR
)
|
SELECT years FROM table_name_43 WHERE decile = 4 AND authority = "state" AND name = "mapiu school"
|
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] |
What is the average car number of all the drivers who have won $111,683?
|
CREATE TABLE table_74732 (
"Driver" text,
"Car #" real,
"Make" text,
"Points" text,
"Laps" real,
"Winnings" text
)
|
SELECT AVG("Car #") FROM table_74732 WHERE "Winnings" = '$111,683'
|
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Who was his partner in 1989?
|
CREATE TABLE table_26309085_1 (partner VARCHAR, year VARCHAR)
|
SELECT partner FROM table_26309085_1 WHERE year = 1989
|
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What is the external weapon of knight zeke?
|
CREATE TABLE table_name_26 (
external_weapon VARCHAR,
knight VARCHAR
)
|
SELECT external_weapon FROM table_name_26 WHERE knight = "zeke"
|
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What is the mean number of events where the rank is 1 and there are more than 3 wins?
|
CREATE TABLE table_name_50 (
events INTEGER,
rank VARCHAR,
wins VARCHAR
)
|
SELECT AVG(events) FROM table_name_50 WHERE rank = 1 AND wins > 3
|
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count the number of patients whose marital status is divorced and procedure long title is circumcision?
|
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
)
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
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.marital_status = "DIVORCED" AND procedures.long_title = "Circumcision"
|
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What is the sum of heat for christophe lebon when lane is less than 4?
|
CREATE TABLE table_66341 (
"Rank" real,
"Heat" real,
"Lane" real,
"Name" text,
"Nationality" text,
"Time" text
)
|
SELECT COUNT("Heat") FROM table_66341 WHERE "Lane" < '4' AND "Name" = 'christophe lebon'
|
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Which country had a score of 72-67=139?
|
CREATE TABLE table_8921 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" text
)
|
SELECT "Country" FROM table_8921 WHERE "Score" = '72-67=139'
|
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What is the average Gold, when Nation is Yugoslavia, and when Silver is greater than 0?
|
CREATE TABLE table_name_28 (
gold INTEGER,
nation VARCHAR,
silver VARCHAR
)
|
SELECT AVG(gold) FROM table_name_28 WHERE nation = "yugoslavia" AND silver > 0
|
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what is the tie no when the attendance is 126?
|
CREATE TABLE table_name_66 (tie_no INTEGER, attendance VARCHAR)
|
SELECT AVG(tie_no) FROM table_name_66 WHERE attendance = 126
|
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What was willie goggin's score?
|
CREATE TABLE table_name_49 (score VARCHAR, player VARCHAR)
|
SELECT score FROM table_name_49 WHERE player = "willie goggin"
|
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who took office after onn jaafar ?
|
CREATE TABLE table_204_668 (
id number,
"#" number,
"menteri besar" text,
"took office" text,
"left office" text,
"party" text
)
|
SELECT "menteri besar" FROM table_204_668 WHERE "took office" > (SELECT "took office" FROM table_204_668 WHERE "menteri besar" = 'onn jaafar') ORDER BY "took office" LIMIT 1
|
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How many schools are in Bloomington, IN?
|
CREATE TABLE table_10082596_1 (
founded VARCHAR,
location VARCHAR
)
|
SELECT COUNT(founded) FROM table_10082596_1 WHERE location = "Bloomington, IN"
|
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] |
How many losses are there for team tembetary?
|
CREATE TABLE table_22566 (
"Position" real,
"Team" text,
"Played" real,
"Wins" real,
"Draws P.K. Wins / P.K. Losses" text,
"Losses" real,
"Scored" real,
"Conceded" real,
"Points" real
)
|
SELECT "Losses" FROM table_22566 WHERE "Team" = 'Tembetary'
|
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What is the highest number of laps when there are less than 5 points for team garry rogers motorsport and the grid number is under 23?
|
CREATE TABLE table_33267 (
"Name" text,
"Team" text,
"Laps" real,
"Grid" real,
"Points" real
)
|
SELECT MAX("Laps") FROM table_33267 WHERE "Points" < '5' AND "Team" = 'garry rogers motorsport' AND "Grid" < '23'
|
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What team has a home city of Koprivnica?
|
CREATE TABLE table_name_77 (team VARCHAR, home_city VARCHAR)
|
SELECT team FROM table_name_77 WHERE home_city = "koprivnica"
|
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how many times has Aaron Ogden (f), been a successor and has had a formal installation?
|
CREATE TABLE table_224840_3 (date_of_successors_formal_installation VARCHAR, successor VARCHAR)
|
SELECT COUNT(date_of_successors_formal_installation) FROM table_224840_3 WHERE successor = "Aaron Ogden (F)"
|
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What's the 2010 when Q2 happened in 2011?
|
CREATE TABLE table_name_45 (
Id VARCHAR
)
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SELECT 2010 FROM table_name_45 WHERE 2011 = "q2"
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What is the total overall when Kenny Lewis is the player in a round after 5?
|
CREATE TABLE table_67829 (
"Round" real,
"Overall" real,
"Player" text,
"Position" text,
"College" text
)
|
SELECT COUNT("Overall") FROM table_67829 WHERE "Player" = 'kenny lewis' AND "Round" > '5'
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What is team 1 in group h?
|
CREATE TABLE table_name_45 (
team__number1 VARCHAR,
round VARCHAR
)
|
SELECT team__number1 FROM table_name_45 WHERE round = "group h"
|
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whose score was the same as crenshaw 's ?
|
CREATE TABLE table_204_126 (
id number,
"place" text,
"player" text,
"country" text,
"score" text,
"to par" number,
"money ($)" number
)
|
SELECT "player" FROM table_204_126 WHERE "player" <> 'ben crenshaw' AND "score" = (SELECT "score" FROM table_204_126 WHERE "player" = 'ben crenshaw')
|
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name the flag bearer directly before zviadauri .
|
CREATE TABLE table_204_266 (
id number,
"#" number,
"event year" number,
"season" text,
"flag bearer" text
)
|
SELECT "flag bearer" FROM table_204_266 WHERE "event year" < (SELECT "event year" FROM table_204_266 WHERE "flag bearer" = 'zurab zviadauri') ORDER BY "event year" DESC LIMIT 1
|
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] |
Compare the number of the names of phones by a bar chart, and display by the x axis in asc.
|
CREATE TABLE phone_market (
Market_ID int,
Phone_ID text,
Num_of_stock int
)
CREATE TABLE market (
Market_ID int,
District text,
Num_of_employees int,
Num_of_shops real,
Ranking int
)
CREATE TABLE phone (
Name text,
Phone_ID int,
Memory_in_G int,
Carrier text,
Price real
)
|
SELECT Name, COUNT(Name) FROM phone_market AS T1 JOIN market AS T2 ON T1.Market_ID = T2.Market_ID JOIN phone AS T3 ON T1.Phone_ID = T3.Phone_ID GROUP BY Name ORDER BY Name
|
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3,
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5570,
6,
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61,
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] |
What is the lowest number of silver medals received by Austria when they receive more than 3 total medals, more than 22 bronze medals, and fewer than 395 gold medals?
|
CREATE TABLE table_71626 (
"Rank" text,
"Nation" text,
"Gold" real,
"Silver" real,
"Bronze" real,
"Total" real
)
|
SELECT MIN("Silver") FROM table_71626 WHERE "Total" > '3' AND "Bronze" > '22' AND "Gold" < '395' AND "Nation" = 'austria'
|
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What is the description of the measure that got 39.57% yes votes?
|
CREATE TABLE table_256286_23 (
description VARCHAR,
_percentage_yes VARCHAR
)
|
SELECT description FROM table_256286_23 WHERE _percentage_yes = "39.57%"
|
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Name the sum of rank for silver less than 0
|
CREATE TABLE table_name_55 (
rank INTEGER,
silver INTEGER
)
|
SELECT SUM(rank) FROM table_name_55 WHERE silver < 0
|
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what's the torque where performance is 0 100km/h: 7.5s auto, vmax: km/h (mph)
|
CREATE TABLE table_16483 (
"Trim" text,
"Engine" text,
"Turbo" text,
"Fuel Delivery" text,
"Power" text,
"Torque" text,
"Transmission" text,
"Performance" text
)
|
SELECT "Torque" FROM table_16483 WHERE "Performance" = '0–100km/h: 7.5s auto, VMax: km/h (mph)'
|
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Which surface had a partner of Sandrine Testud on November 14, 1999?
|
CREATE TABLE table_75193 (
"Outcome" text,
"Date" text,
"Tournament" text,
"Surface" text,
"Partner" text,
"Opponents in the final" text,
"Score" text
)
|
SELECT "Surface" FROM table_75193 WHERE "Partner" = 'sandrine testud' AND "Date" = 'november 14, 1999'
|
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I want the sum of Laps with Grid less than 11 for jean-pierre jarier
|
CREATE TABLE table_name_7 (
laps INTEGER,
grid VARCHAR,
driver VARCHAR
)
|
SELECT SUM(laps) FROM table_name_7 WHERE grid < 11 AND driver = "jean-pierre jarier"
|
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