NATURAL_LANG
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446
| SCHEMA
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2.21k
| SQL
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453
| input_ids
list | attention_mask
list | labels
list |
|---|---|---|---|---|---|
What was the pick # of the player who has a hometown/school of Atlanta, GA?
|
CREATE TABLE table_name_62 (pick INTEGER, hometown_school VARCHAR)
|
SELECT AVG(pick) FROM table_name_62 WHERE hometown_school = "atlanta, ga"
|
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Count the hometown by hometown using a bar chart, and could you list y axis in desc order please?
|
CREATE TABLE purchase (
Member_ID int,
Branch_ID text,
Year text,
Total_pounds real
)
CREATE TABLE membership_register_branch (
Member_ID int,
Branch_ID text,
Register_Year text
)
CREATE TABLE branch (
Branch_ID int,
Name text,
Open_year text,
Address_road text,
City text,
membership_amount text
)
CREATE TABLE member (
Member_ID int,
Card_Number text,
Name text,
Hometown text,
Level int
)
|
SELECT Hometown, COUNT(Hometown) FROM member GROUP BY Hometown ORDER BY COUNT(Hometown) DESC
|
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Is prothrombin time long when thromboplastin is prolonged?
|
CREATE TABLE table_1226250_1 (prothrombin_time VARCHAR, bleeding_time VARCHAR, partial_thromboplastin_time VARCHAR)
|
SELECT prothrombin_time FROM table_1226250_1 WHERE bleeding_time = "Prolonged" AND partial_thromboplastin_time = "Prolonged"
|
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Which Taper/in that has a Small end larger than 0.7000000000000001, and a Taper of #19, and a Large end larger than 2.375?
|
CREATE TABLE table_76927 (
"Taper" text,
"Large end" real,
"Small end" real,
"Length" real,
"Taper/ ft" real,
"Taper/ in" real,
"Angle from center/\u00b0" real
)
|
SELECT MIN("Taper/ in") FROM table_76927 WHERE "Small end" > '0.7000000000000001' AND "Taper" = '#19' AND "Large end" > '2.375'
|
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What is the winner women and third is italy and runner-up is finland?
|
CREATE TABLE table_17481 (
"Season" text,
"Winner" text,
"Runner-up" text,
"Third" text,
"Winner Men" text,
"Winner Women" text
)
|
SELECT "Winner Women" FROM table_17481 WHERE "Third" = 'Italy' AND "Runner-up" = 'Finland'
|
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What was the position in 1959-1960 for the Sporting De Braga club?
|
CREATE TABLE table_name_19 (position_in_1959_1960 VARCHAR, clubs VARCHAR)
|
SELECT position_in_1959_1960 FROM table_name_19 WHERE clubs = "sporting de braga"
|
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what is the total series percent that has total attempted less than 49, and a percent made of 0.777
|
CREATE TABLE table_name_63 (
series_percent VARCHAR,
total_attempted VARCHAR,
percent_made VARCHAR
)
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SELECT COUNT(series_percent) FROM table_name_63 WHERE total_attempted < 49 AND percent_made = 0.777
|
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What is the margin of victory in a semgroup championship?
|
CREATE TABLE table_43394 (
"Date" text,
"Tournament" text,
"Winning score" text,
"Margin of victory" text,
"Runner(s)-up" text
)
|
SELECT "Margin of victory" FROM table_43394 WHERE "Tournament" = 'semgroup championship'
|
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Where the wins are 46, what is the win%?
|
CREATE TABLE table_40316 (
"Season" text,
"Conference" text,
"Division" text,
"Finish" text,
"Wins" text,
"Losses" text,
"Win%" text,
"Awards" text
)
|
SELECT "Win%" FROM table_40316 WHERE "Wins" = '46'
|
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provide the number of patients whose year of birth is less than 2071 and drug route is ed?
|
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 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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.dob_year < "2071" AND prescriptions.route = "ED"
|
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Who is the authority for the coed Eastbourne school?
|
CREATE TABLE table_name_46 (
authority VARCHAR,
area VARCHAR,
gender VARCHAR
)
|
SELECT authority FROM table_name_46 WHERE area = "eastbourne" AND gender = "coed"
|
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In what year was there no competition for women?
|
CREATE TABLE table_80135 (
"Year" text,
"Men's singles" text,
"Women's singles" text,
"Men's doubles" text,
"Women's doubles" text,
"Mixed doubles" text
)
|
SELECT "Year" FROM table_80135 WHERE "Women's singles" = 'no competition'
|
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What average rank that has a silver less than 0?
|
CREATE TABLE table_41446 (
"Rank" real,
"Nation" text,
"Gold" real,
"Silver" real,
"Bronze" real,
"Total" real
)
|
SELECT AVG("Rank") FROM table_41446 WHERE "Silver" < '0'
|
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Who was the Opponent with a Result of l 17 24?
|
CREATE TABLE table_name_78 (
opponent VARCHAR,
result VARCHAR
)
|
SELECT opponent FROM table_name_78 WHERE result = "l 17–24"
|
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what is the number of patients whose primary disease is acidosis and age is less than 63?
|
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
)
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 = "ACIDOSIS" AND demographic.age < "63"
|
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what was the number of aneurysm resection / repair procedures that were performed a year before?
|
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE 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 treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
|
SELECT COUNT(*) FROM treatment WHERE treatment.treatmentname = 'aneurysm resection / repair' AND DATETIME(treatment.treatmenttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')
|
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What was the date of the game that had a loss of Johnson (9-8)?
|
CREATE TABLE table_name_30 (date VARCHAR, loss VARCHAR)
|
SELECT date FROM table_name_30 WHERE loss = "johnson (9-8)"
|
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What is the name of the track that hosted the Swedish Grand Prix in 1979?
|
CREATE TABLE table_name_79 (track VARCHAR, year VARCHAR)
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SELECT track FROM table_name_79 WHERE year = "1979"
|
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When carmelo anthony (42) has the highest amount of points how many measurements of highest rebounds are there?
|
CREATE TABLE table_23285849_11 (high_rebounds VARCHAR, high_points VARCHAR)
|
SELECT COUNT(high_rebounds) FROM table_23285849_11 WHERE high_points = "Carmelo Anthony (42)"
|
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For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about employee_id over the last_name by a bar chart, and could you display by the bar in desc please?
|
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE 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 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 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)
)
|
SELECT LAST_NAME, EMPLOYEE_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY LAST_NAME DESC
|
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How many attendances have 9 as the week?
|
CREATE TABLE table_75376 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"Attendance" real
)
|
SELECT COUNT("Attendance") FROM table_75376 WHERE "Week" = '9'
|
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2847,
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] |
What Date has Points smaller than 80, Home of Los Angeles, and a Visitor of Pittsburgh?
|
CREATE TABLE table_name_76 (date VARCHAR, visitor VARCHAR, points VARCHAR, home VARCHAR)
|
SELECT date FROM table_name_76 WHERE points < 80 AND home = "los angeles" AND visitor = "pittsburgh"
|
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What points awarded are higher than 6 but smaller than 9
|
CREATE TABLE table_name_51 (
points_awarded__platinum_ INTEGER,
points_awarded__gold_ VARCHAR,
points_awarded__silver_ VARCHAR
)
|
SELECT MAX(points_awarded__platinum_) FROM table_name_51 WHERE points_awarded__gold_ = 9 AND points_awarded__silver_ > 6
|
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4tab of commercial broadcaster Radio Tab broadcasts at what frequency?
|
CREATE TABLE table_name_75 (
frequency VARCHAR,
callsign VARCHAR,
purpose VARCHAR,
on_air_id VARCHAR
)
|
SELECT frequency FROM table_name_75 WHERE purpose = "commercial" AND on_air_id = "radio tab" AND callsign = "4tab"
|
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What is the least number of penalties he got when his point total was over 1419 in more than 98 games?
|
CREATE TABLE table_name_45 (penalties INTEGER, points_total VARCHAR, played VARCHAR)
|
SELECT MIN(penalties) FROM table_name_45 WHERE points_total = 1419 AND played > 98
|
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What driver has BRM as a constructor and had more than 30 laps?
|
CREATE TABLE table_53777 (
"Driver" text,
"Constructor" text,
"Laps" real,
"Time/Retired" text,
"Grid" real
)
|
SELECT "Driver" FROM table_53777 WHERE "Constructor" = 'brm' AND "Laps" > '30'
|
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Name the attendance with result of t 14-14
|
CREATE TABLE table_name_92 (attendance VARCHAR, result VARCHAR)
|
SELECT attendance FROM table_name_92 WHERE result = "t 14-14"
|
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how many single patients are diagnosed with migrne unsp wo ntrc mgrn?
|
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
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.marital_status = "SINGLE" AND diagnoses.short_title = "Migrne unsp wo ntrc mgrn"
|
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find out the short title of diagnoses and health insurance by which patient with patient id 9271 is covered.
|
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
|
SELECT demographic.insurance, diagnoses.short_title FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.subject_id = "9271"
|
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Who is the Prime Minister of Antoine Wehenkel?
|
CREATE TABLE table_67961 (
"Minister" text,
"Party" text,
"Start date" text,
"End date" text,
"Prime Minister" text
)
|
SELECT "Prime Minister" FROM table_67961 WHERE "Minister" = 'antoine wehenkel'
|
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What is the candidates result that is tom j. murray (d) unopposed?
|
CREATE TABLE table_1342149_42 (result VARCHAR, candidates VARCHAR)
|
SELECT result FROM table_1342149_42 WHERE candidates = "Tom J. Murray (D) Unopposed"
|
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List the snatch score and clean jerk score of body builders in ascending order of snatch score. Plot them as scatter chart.
|
CREATE TABLE body_builder (
Body_Builder_ID int,
People_ID int,
Snatch real,
Clean_Jerk real,
Total real
)
CREATE TABLE people (
People_ID int,
Name text,
Height real,
Weight real,
Birth_Date text,
Birth_Place text
)
|
SELECT Snatch, Clean_Jerk FROM body_builder
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What are the names of the technicians by ascending order of quality rank for the machine they are assigned, and count them by a pie chart
|
CREATE TABLE machine (
Machine_ID int,
Making_Year int,
Class text,
Team text,
Machine_series text,
value_points real,
quality_rank int
)
CREATE TABLE repair_assignment (
technician_id int,
repair_ID int,
Machine_ID int
)
CREATE TABLE repair (
repair_ID int,
name text,
Launch_Date text,
Notes text
)
CREATE TABLE technician (
technician_id real,
Name text,
Team text,
Starting_Year real,
Age int
)
|
SELECT Name, COUNT(Name) FROM repair_assignment AS T1 JOIN machine AS T2 ON T1.Machine_ID = T2.Machine_ID JOIN technician AS T3 ON T1.technician_id = T3.technician_id GROUP BY Name ORDER BY T2.quality_rank
|
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What is the nationality of the Team Georgia Tech?
|
CREATE TABLE table_48319 (
"Player" text,
"Nationality" text,
"Position" text,
"Years for Grizzlies" text,
"School/Club Team" text
)
|
SELECT "Nationality" FROM table_48319 WHERE "School/Club Team" = 'georgia tech'
|
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What's the percentage of votes for Tom Horner according to the poll source that claimed 31% for Matt Entenza?
|
CREATE TABLE table_20032301_3 (tom_horner__i_ VARCHAR, matt_entenza__dfl_ VARCHAR)
|
SELECT tom_horner__i_ FROM table_20032301_3 WHERE matt_entenza__dfl_ = "31%"
|
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What's the total number of points scored during the 1951 NSWRFL Grand Final?
|
CREATE TABLE table_name_3 (
points VARCHAR,
details VARCHAR
)
|
SELECT COUNT(points) FROM table_name_3 WHERE details = "1951 nswrfl grand final"
|
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How many values for earpads correspond to the headphone class Prestige and a US MSRP of $79?
|
CREATE TABLE table_1601027_1 (earpads VARCHAR, headphone_class VARCHAR, us_msrp VARCHAR)
|
SELECT COUNT(earpads) FROM table_1601027_1 WHERE headphone_class = "Prestige" AND us_msrp = "$79"
|
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What is the lowest round that Adam Wiesel was picked?
|
CREATE TABLE table_name_9 (round INTEGER, player VARCHAR)
|
SELECT MIN(round) FROM table_name_9 WHERE player = "adam wiesel"
|
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How many patients whose language is ptun died in or before 2138?
|
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.language = "PTUN" AND demographic.dod_year <= "2138.0"
|
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What is the date for the podcast episode number 103?
|
CREATE TABLE table_32993 (
"Episode Number" real,
"Title" text,
"Podcast Date" text,
"Run time" text,
"Historical References" text
)
|
SELECT "Podcast Date" FROM table_32993 WHERE "Episode Number" = '103'
|
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what is the notes for the time 6:05.21?
|
CREATE TABLE table_66139 (
"Rank" real,
"Athlete" text,
"Country" text,
"Time" text,
"Notes" text
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SELECT "Notes" FROM table_66139 WHERE "Time" = '6:05.21'
|
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Which Category were Libby Goldstein and Junie Lowry-Johnson recipients and nominees for?
|
CREATE TABLE table_63974 (
"Year" real,
"Category" text,
"Recipients and nominees" text,
"Role/Episode" text,
"Result" text
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SELECT "Category" FROM table_63974 WHERE "Recipients and nominees" = 'libby goldstein and junie lowry-johnson'
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Who is the owner of the branding gx94?
|
CREATE TABLE table_name_78 (owner VARCHAR, branding VARCHAR)
|
SELECT owner FROM table_name_78 WHERE branding = "gx94"
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For End of Fiscal Years past 1980 that also have as % of GDP Low-High of 83.4-84.4, and a Debt Held By Public ($Billions) smaller than 7,552 what would be the average Gross Debt in $Billions undeflated Treas. in said years?
|
CREATE TABLE table_54105 (
"End of Fiscal Year" real,
"Gross Debt in $Billions undeflated Treas." real,
"as % of GDP Low-High" text,
"Debt Held By Public ($Billions)" real,
"as % of GDP (Treas/MW, OMB or OMB/MW)" real,
"GDP $Billions OMB/BEA est.=MW.com" text
)
|
SELECT AVG("Gross Debt in $Billions undeflated Treas.") FROM table_54105 WHERE "End of Fiscal Year" > '1980' AND "as % of GDP Low-High" = '83.4-84.4' AND "Debt Held By Public ($Billions)" < '7,552'
|
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who is the person that plays left wing and is from canada that plays on the st. louis blues
|
CREATE TABLE table_2840500_3 (player VARCHAR, nhl_team VARCHAR, position VARCHAR, nationality VARCHAR)
|
SELECT player FROM table_2840500_3 WHERE position = "Left Wing" AND nationality = "Canada" AND nhl_team = "St. Louis Blues"
|
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how many female patients had 7742 as their diagnosis icd9 code?
|
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
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.gender = "F" AND diagnoses.icd9_code = "7742"
|
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] |
What is the least total number of medals when the bronze medals is 1, and Czech Republic (CZE) is the nation?
|
CREATE TABLE table_name_46 (total INTEGER, bronze VARCHAR, nation VARCHAR)
|
SELECT MIN(total) FROM table_name_46 WHERE bronze = 1 AND nation = "czech republic (cze)"
|
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How many new entries when the leagues entering in the round are tff third league & turkish regional amateur league?
|
CREATE TABLE table_63652 (
"Round" text,
"Clubs remaining" real,
"Clubs involved" real,
"Winners from previous round" text,
"New entries this round" text,
"Leagues entering at this round" text
)
|
SELECT "New entries this round" FROM table_63652 WHERE "Leagues entering at this round" = 'tff third league & turkish regional amateur league'
|
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How many episodes were written by Jack Burditt & Robert Carlock
|
CREATE TABLE table_15938543_1 (
production_code VARCHAR,
written_by VARCHAR
)
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SELECT COUNT(production_code) FROM table_15938543_1 WHERE written_by = "Jack Burditt & Robert Carlock"
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What is Year is Walt Disney Pictures Imagemovers Digital?
|
CREATE TABLE table_13744 (
"Year" real,
"Title" text,
"Director" text,
"Studio(s)" text,
"Notes" text
)
|
SELECT SUM("Year") FROM table_13744 WHERE "Studio(s)" = 'walt disney pictures imagemovers digital'
|
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What winning score has in-kyung kim as the runner(s)-up?
|
CREATE TABLE table_62004 (
"Date" text,
"Tournament" text,
"Winning score" text,
"To par" text,
"Margin of victory" text,
"Runner(s)-up" text,
"Winner's share ( $ )" real
)
|
SELECT "Winning score" FROM table_62004 WHERE "Runner(s)-up" = 'in-kyung kim'
|
[
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] |
what 's the number of teams that won the cup four times ?
|
CREATE TABLE table_204_448 (
id number,
"team" text,
"winners" number,
"runners-up" number,
"years won" text,
"years runner-up" text
)
|
SELECT COUNT("team") FROM table_204_448 WHERE "winners" = 4
|
[
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] |
Find the average hours of all projects.
|
CREATE TABLE projects (
hours INTEGER
)
|
SELECT AVG(hours) FROM projects
|
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6048,
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Which final score had a surface of hard (i) on October 22, 2000?
|
CREATE TABLE table_name_47 (score_in_the_final VARCHAR, surface VARCHAR, date VARCHAR)
|
SELECT score_in_the_final FROM table_name_47 WHERE surface = "hard (i)" AND date = "october 22, 2000"
|
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Which track was used on September 12, 1981?
|
CREATE TABLE table_22765887_1 (track VARCHAR, date VARCHAR)
|
SELECT track FROM table_22765887_1 WHERE date = "September 12, 1981"
|
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Bin the hire date into Month interval, and then compute the average salary of employees in each month for a bar chart, note that just select those employees without the letter M in their first name, and sort the average of salary in asc order please.
|
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
|
SELECT HIRE_DATE, AVG(SALARY) FROM employees WHERE NOT FIRST_NAME LIKE '%M%' ORDER BY AVG(SALARY)
|
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which team did this person play against after portugal in 1989 ?
|
CREATE TABLE table_204_836 (
id number,
"#" number,
"date" text,
"opponent" text,
"score" text,
"result" text,
"competition" text
)
|
SELECT "opponent" FROM table_204_836 WHERE "#" = (SELECT "#" FROM table_204_836 WHERE "opponent" = 'portugal' AND "date" = 1989) + 1
|
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What is the surface when the tournament is manta, ecuador?
|
CREATE TABLE table_name_95 (surface VARCHAR, tournament VARCHAR)
|
SELECT surface FROM table_name_95 WHERE tournament = "manta, ecuador"
|
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What is the sum of Rank with a build year earlier than 2007 for the howard johnson hotel bucharest?
|
CREATE TABLE table_name_39 (rank INTEGER, built VARCHAR, building VARCHAR)
|
SELECT SUM(rank) FROM table_name_39 WHERE built < 2007 AND building = "howard johnson hotel bucharest"
|
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how many patients whose religion is jehovah's witness and diagnoses short title is perforation of intestine?
|
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
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.religion = "JEHOVAH'S WITNESS" AND diagnoses.short_title = "Perforation of intestine"
|
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How many courses for each subject? Plot a bar chart, and order by the x axis in ascending.
|
CREATE TABLE Student_Course_Enrolment (
registration_id INTEGER,
student_id INTEGER,
course_id INTEGER,
date_of_enrolment DATETIME,
date_of_completion DATETIME
)
CREATE TABLE Courses (
course_id INTEGER,
author_id INTEGER,
subject_id INTEGER,
course_name VARCHAR(120),
course_description VARCHAR(255)
)
CREATE TABLE Subjects (
subject_id INTEGER,
subject_name VARCHAR(120)
)
CREATE TABLE Students (
student_id INTEGER,
date_of_registration DATETIME,
date_of_latest_logon DATETIME,
login_name VARCHAR(40),
password VARCHAR(10),
personal_name VARCHAR(40),
middle_name VARCHAR(40),
family_name VARCHAR(40)
)
CREATE TABLE Course_Authors_and_Tutors (
author_id INTEGER,
author_tutor_ATB VARCHAR(3),
login_name VARCHAR(40),
password VARCHAR(40),
personal_name VARCHAR(80),
middle_name VARCHAR(80),
family_name VARCHAR(80),
gender_mf VARCHAR(1),
address_line_1 VARCHAR(80)
)
CREATE TABLE Student_Tests_Taken (
registration_id INTEGER,
date_test_taken DATETIME,
test_result VARCHAR(255)
)
|
SELECT subject_name, COUNT(*) FROM Courses AS T1 JOIN Subjects AS T2 ON T1.subject_id = T2.subject_id GROUP BY T1.subject_id ORDER BY subject_name
|
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What is the smallest amount of spectators when the away team was Hawthorn?
|
CREATE TABLE table_name_93 (crowd INTEGER, away_team VARCHAR)
|
SELECT MIN(crowd) FROM table_name_93 WHERE away_team = "hawthorn"
|
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Which country scored 69-67-69-70=275?
|
CREATE TABLE table_name_22 (
country VARCHAR,
score VARCHAR
)
|
SELECT country FROM table_name_22 WHERE score = 69 - 67 - 69 - 70 = 275
|
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Find the weight of the youngest dog.
|
CREATE TABLE pets (weight VARCHAR, pet_age VARCHAR)
|
SELECT weight FROM pets ORDER BY pet_age LIMIT 1
|
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how many patients are diagnosed with hx surgery to organs nec and base drug type?
|
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 lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic 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 surgery to organs NEC" AND prescriptions.drug_type = "BASE"
|
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] |
calculate the minimum age of emergency hospital admission patients who were hospitalized for a day.
|
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
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT MIN(demographic.age) FROM demographic WHERE demographic.admission_type = "EMERGENCY" AND demographic.days_stay = "1"
|
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What 2012 amount of earnings corresponds with less than 28 tournaments played?
|
CREATE TABLE table_name_59 (earnings___$__ VARCHAR, tournaments_played VARCHAR, year VARCHAR)
|
SELECT earnings___$__ FROM table_name_59 WHERE tournaments_played < 28 AND year = "2012"
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Name the name of bowl for 2006 season
|
CREATE TABLE table_2517159_1 (name_of_bowl VARCHAR, last_appearance VARCHAR)
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SELECT COUNT(name_of_bowl) FROM table_2517159_1 WHERE last_appearance = "2006 Season"
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If the third name is Bruno Bonifacio, what is the champion?
|
CREATE TABLE table_3302 (
"Season" real,
"Champion" text,
"Second" text,
"Third" text,
"Team Champion" text,
"National Trophy/Rookie" text
)
|
SELECT "Champion" FROM table_3302 WHERE "Third" = 'Bruno Bonifacio'
|
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What was the startup year for the Jackpine Mine (ph 2) project with an albian sands operator?
|
CREATE TABLE table_5929 (
"Country" text,
"Project Name" text,
"Year startup" text,
"Operator" text,
"Peak" text
)
|
SELECT "Year startup" FROM table_5929 WHERE "Operator" = 'albian sands' AND "Project Name" = 'jackpine mine (ph 2)'
|
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What is Date, when Viewers is 4.4 million?
|
CREATE TABLE table_name_92 (
date VARCHAR,
viewers VARCHAR
)
|
SELECT date FROM table_name_92 WHERE viewers = "4.4 million"
|
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What is the average round for Georgia Tech with a pick greater than 103?
|
CREATE TABLE table_name_81 (
round INTEGER,
school VARCHAR,
pick VARCHAR
)
|
SELECT AVG(round) FROM table_name_81 WHERE school = "georgia tech" AND pick > 103
|
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What is total population of Saint-Agapit (code 33045)?
|
CREATE TABLE table_name_99 (
region INTEGER,
name VARCHAR,
code VARCHAR
)
|
SELECT SUM(region) FROM table_name_99 WHERE name = "saint-agapit" AND code < 33045
|
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How many schools are named otafuku tholi?
|
CREATE TABLE table_16799784_4 (year_named VARCHAR, name VARCHAR)
|
SELECT COUNT(year_named) FROM table_16799784_4 WHERE name = "Otafuku Tholi"
|
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] |
How many years have a Name of tour quartier des spectacles, and Floors smaller than 31?
|
CREATE TABLE table_name_51 (
year VARCHAR,
name VARCHAR,
floors VARCHAR
)
|
SELECT COUNT(year) FROM table_name_51 WHERE name = "tour quartier des spectacles" AND floors < 31
|
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What is the highest value of Total Goals?
|
CREATE TABLE table_10240125_1 (
total_goals INTEGER
)
|
SELECT MAX(total_goals) FROM table_10240125_1
|
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What club has less than 61 goals for and 55 goals against?
|
CREATE TABLE table_69341 (
"Position" real,
"Club" text,
"Played" real,
"Points" text,
"Wins" real,
"Draws" real,
"Losses" real,
"Goals for" real,
"Goals against" real,
"Goal Difference" real
)
|
SELECT "Club" FROM table_69341 WHERE "Goals for" < '61' AND "Goals against" = '55'
|
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I want the tsongas of may 22, 2007
|
CREATE TABLE table_name_45 (
tsongas__d_ VARCHAR,
date VARCHAR
)
|
SELECT tsongas__d_ FROM table_name_45 WHERE date = "may 22, 2007"
|
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Name the cfl team for steven turner
|
CREATE TABLE table_27275 (
"Pick #" real,
"CFL Team" text,
"Player" text,
"Position" text,
"College" text
)
|
SELECT "CFL Team" FROM table_27275 WHERE "Player" = 'Steven Turner'
|
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Which competition was ranked 9?
|
CREATE TABLE table_name_53 (
competition VARCHAR,
rank VARCHAR
)
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SELECT competition FROM table_name_53 WHERE rank = 9
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Who was the opponent in the game that was attended by 48,000 people?
|
CREATE TABLE table_name_93 (
opponent_number VARCHAR,
attendance VARCHAR
)
|
SELECT opponent_number FROM table_name_93 WHERE attendance = "48,000"
|
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How many years did Peter Lorimer play?
|
CREATE TABLE table_237757_9 (
nasl_years VARCHAR,
player VARCHAR
)
|
SELECT COUNT(nasl_years) FROM table_237757_9 WHERE player = "Peter Lorimer"
|
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How many laps did BRM have with a grid of 11?
|
CREATE TABLE table_name_33 (
laps VARCHAR,
constructor VARCHAR,
grid VARCHAR
)
|
SELECT COUNT(laps) FROM table_name_33 WHERE constructor = "brm" AND grid = 11
|
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Who is from Spain with a to par of e?
|
CREATE TABLE table_66815 (
"Place" text,
"Player" text,
"Country" text,
"Score" real,
"To par" text
)
|
SELECT "Player" FROM table_66815 WHERE "To par" = 'e' AND "Country" = 'spain'
|
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which position between the quarterback and defensive end has the larger count ?
|
CREATE TABLE table_204_70 (
id number,
"pick #" number,
"nfl team" text,
"player" text,
"position" text,
"college" text
)
|
SELECT "position" FROM table_204_70 WHERE "position" IN ('quarterback', 'defensive end') GROUP BY "position" ORDER BY COUNT(*) DESC LIMIT 1
|
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What is the average total of the 0-8 tally?
|
CREATE TABLE table_65862 (
"Rank" real,
"Player" text,
"County" text,
"Tally" text,
"Total" real,
"Opposition" text
)
|
SELECT AVG("Total") FROM table_65862 WHERE "Tally" = '0-8'
|
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] |
what is the first riding ?
|
CREATE TABLE table_204_786 (
id number,
"riding" text,
"candidate" text,
"gender" text,
"residence" text,
"occupation" text,
"votes" number,
"%" number,
"rank" text,
"biographical notes" text
)
|
SELECT "riding" FROM table_204_786 WHERE id = 1
|
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] |
Show me a bar chart for how many faculty members do we have for each faculty rank?
|
CREATE TABLE Faculty_Participates_in (
FacID INTEGER,
actid INTEGER
)
CREATE TABLE Student (
StuID INTEGER,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
CREATE TABLE Activity (
actid INTEGER,
activity_name varchar(25)
)
CREATE TABLE Participates_in (
stuid INTEGER,
actid INTEGER
)
CREATE TABLE Faculty (
FacID INTEGER,
Lname VARCHAR(15),
Fname VARCHAR(15),
Rank VARCHAR(15),
Sex VARCHAR(1),
Phone INTEGER,
Room VARCHAR(5),
Building VARCHAR(13)
)
|
SELECT Rank, COUNT(*) FROM Faculty GROUP BY Rank
|
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What is Height, when Name is 'Manuela Zanchi'?
|
CREATE TABLE table_name_95 (
height VARCHAR,
name VARCHAR
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SELECT height FROM table_name_95 WHERE name = "manuela zanchi"
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What was the result for the nomination of Best Revival of a Musical?
|
CREATE TABLE table_name_90 (
result VARCHAR,
category VARCHAR
)
|
SELECT result FROM table_name_90 WHERE category = "best revival of a musical"
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Which tournament's 2001 and 2006s were a?
|
CREATE TABLE table_name_25 (tournament VARCHAR)
|
SELECT tournament FROM table_name_25 WHERE 2001 = "a" AND 2006 = "a"
|
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What is the lowest position of pilot mario kiessling from Germany?
|
CREATE TABLE table_name_23 (
position INTEGER,
country VARCHAR,
pilot VARCHAR
)
|
SELECT MIN(position) FROM table_name_23 WHERE country = "germany" AND pilot = "mario kiessling"
|
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Which result has a Score of 30-44?
|
CREATE TABLE table_55549 (
"Date" text,
"Competition" text,
"Venue" text,
"Result" text,
"Score" text,
"Goals" text
)
|
SELECT "Result" FROM table_55549 WHERE "Score" = '30-44'
|
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List the name, location, mascot for all schools.
|
CREATE TABLE school (
school_name VARCHAR,
LOCATION VARCHAR,
mascot VARCHAR
)
|
SELECT school_name, LOCATION, mascot FROM school
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What was the amount won with tries against at 54?
|
CREATE TABLE table_12828723_5 (won VARCHAR, tries_against VARCHAR)
|
SELECT won FROM table_12828723_5 WHERE tries_against = "54"
|
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What was the smallest crowd at junction oval?
|
CREATE TABLE table_name_61 (
crowd INTEGER,
venue VARCHAR
)
|
SELECT MIN(crowd) FROM table_name_61 WHERE venue = "junction oval"
|
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Name the try bonus of points against at 430
|
CREATE TABLE table_12792876_4 (
try_bonus VARCHAR,
points_against VARCHAR
)
|
SELECT try_bonus FROM table_12792876_4 WHERE points_against = "430"
|
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What's the total losses when there are 8 wins and less than 2 byes?
|
CREATE TABLE table_64004 (
"Wimmera FL" text,
"Wins" real,
"Byes" real,
"Losses" real,
"Draws" real,
"Against" real
)
|
SELECT SUM("Losses") FROM table_64004 WHERE "Wins" = '8' AND "Byes" < '2'
|
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For all employees who have the letters D or S in their first name, what is the relationship between employee_id and salary ?
|
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE 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)
)
|
SELECT EMPLOYEE_ID, SALARY FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%'
|
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Who is the director when the title is 2003?
|
CREATE TABLE table_name_27 (
director VARCHAR,
title VARCHAR
)
|
SELECT director FROM table_name_27 WHERE title = "2003"
|
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