NATURAL_LANG
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446
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2.21k
| SQL
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|---|---|---|---|---|---|
what's the species in the world with peruvian amazon vs. peru (percent) of 63
|
CREATE TABLE table_11727969_1 (species_in_the_world VARCHAR, peruvian_amazon_vs_peru__percent_ VARCHAR)
|
SELECT species_in_the_world FROM table_11727969_1 WHERE peruvian_amazon_vs_peru__percent_ = 63
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How many schools have an enrollment of 850?
|
CREATE TABLE table_16630 (
"School" text,
"Location" text,
"Enrolment" real,
"Founded" real,
"Denomination" text,
"Day/Boarding" text,
"School Colours" text,
"Abbreviation" text,
"In competition since" real
)
|
SELECT COUNT("Founded") FROM table_16630 WHERE "Enrolment" = '850'
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What is the highest erp w with a 90.5 frequency mhz?
|
CREATE TABLE table_79689 (
"Call sign" text,
"Frequency MHz" real,
"City of license" text,
"ERP W" real,
"Class" text,
"FCC info" text
)
|
SELECT MAX("ERP W") FROM table_79689 WHERE "Frequency MHz" = '90.5'
|
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What is the Country when the language is italian english, and the television service is disney xd +1?
|
CREATE TABLE table_name_12 (country VARCHAR, language VARCHAR, television_service VARCHAR)
|
SELECT country FROM table_name_12 WHERE language = "italian english" AND television_service = "disney xd +1"
|
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What category did MCG get a nominee in?
|
CREATE TABLE table_name_62 (
category VARCHAR,
label VARCHAR,
result VARCHAR
)
|
SELECT category FROM table_name_62 WHERE label = "mcg" AND result = "nominee"
|
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On what day was Tie #29 played?
|
CREATE TABLE table_name_55 (date VARCHAR, tie_no VARCHAR)
|
SELECT date FROM table_name_55 WHERE tie_no = "29"
|
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what is the average number of scotland 's total apps ?
|
CREATE TABLE table_204_159 (
id number,
"name" text,
"nation" text,
"position" text,
"league apps" number,
"league goals" number,
"fa cup apps" number,
"fa cup goals" number,
"total apps" number,
"total goals" number
)
|
SELECT AVG("total apps") FROM table_204_159 WHERE "nation" = 'scotland'
|
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What is the Champion with a Year that is 2008?
|
CREATE TABLE table_name_65 (champion VARCHAR, year VARCHAR)
|
SELECT champion FROM table_name_65 WHERE year = 2008
|
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how many cities are below 1000 in population ?
|
CREATE TABLE table_204_6 (
id number,
"category" text,
"urban settlements" text,
"population" number,
"male" text,
"female" text,
"inhabited localities in jurisdiction" text
)
|
SELECT COUNT("urban settlements") FROM table_204_6 WHERE "population" < 1000
|
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What were the bleeding times when both the platelet count was unaffected and the partial thromboplastin time was unaffected
|
CREATE TABLE table_1099080_1 (bleeding_time VARCHAR, partial_thromboplastin_time VARCHAR, platelet_count VARCHAR)
|
SELECT bleeding_time FROM table_1099080_1 WHERE partial_thromboplastin_time = "Unaffected" AND platelet_count = "Unaffected"
|
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Which Margin of victory has a Runner(s)-up of mark o'meara?
|
CREATE TABLE table_name_19 (margin_of_victory VARCHAR, runner_s__up VARCHAR)
|
SELECT margin_of_victory FROM table_name_19 WHERE runner_s__up = "mark o'meara"
|
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What is the highest attendance at a game with a result of 5-1?
|
CREATE TABLE table_name_94 (attendance INTEGER, result VARCHAR)
|
SELECT MAX(attendance) FROM table_name_94 WHERE result = "5-1"
|
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give me the number of patients whose age is less than 71 and lab test name is epithelial cells?
|
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "71" AND lab.label = "Epithelial Cells"
|
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Which Attendance has a Date of september 29, 1968, and a Week smaller than 3?
|
CREATE TABLE table_name_17 (
attendance INTEGER,
date VARCHAR,
week VARCHAR
)
|
SELECT MIN(attendance) FROM table_name_17 WHERE date = "september 29, 1968" AND week < 3
|
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Which Round has an Opponent of jorge magalhaes?
|
CREATE TABLE table_name_83 (
round INTEGER,
opponent VARCHAR
)
|
SELECT AVG(round) FROM table_name_83 WHERE opponent = "jorge magalhaes"
|
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] |
When London Bridge is the destination, what is the frequency?
|
CREATE TABLE table_1569516_1 (
frequency__per_hour_ VARCHAR,
destination VARCHAR
)
|
SELECT frequency__per_hour_ FROM table_1569516_1 WHERE destination = "London Bridge"
|
[
32100,
32103,
32102,
205,
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When did the episodes first air that had a production code of 107?
|
CREATE TABLE table_18335117_2 (original_air_date VARCHAR, production_code VARCHAR)
|
SELECT original_air_date FROM table_18335117_2 WHERE production_code = 107
|
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Which kind of Edition that has a Surface of clay, and Park Sung-Hee as an opponent?
|
CREATE TABLE table_71362 (
"Edition" text,
"Round" text,
"Date" text,
"Surface" text,
"Opponent" text,
"Result" text
)
|
SELECT "Edition" FROM table_71362 WHERE "Surface" = 'clay' AND "Opponent" = 'park sung-hee'
|
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combined , how many winning golfers does england and wales have in the masters ?
|
CREATE TABLE table_204_396 (
id number,
"country" text,
"masters" number,
"u.s. open" number,
"the open" number,
"pga" number,
"total" number
)
|
SELECT SUM("masters") FROM table_204_396 WHERE "country" IN ('england', 'wales')
|
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What is the nickname of staff with first name as Janessa and last name as Sawayn?
|
CREATE TABLE vehicles (
vehicle_id number,
vehicle_details text
)
CREATE TABLE staff (
staff_id number,
staff_address_id number,
nickname text,
first_name text,
middle_name text,
last_name text,
date_of_birth time,
date_joined_staff time,
date_left_staff time
)
CREATE TABLE customers (
customer_id number,
customer_address_id number,
customer_status_code text,
date_became_customer time,
date_of_birth time,
first_name text,
last_name text,
amount_outstanding number,
email_address text,
phone_number text,
cell_mobile_phone_number text
)
CREATE TABLE lessons (
lesson_id number,
customer_id number,
lesson_status_code text,
staff_id number,
vehicle_id number,
lesson_date time,
lesson_time text,
price number
)
CREATE TABLE addresses (
address_id number,
line_1_number_building text,
city text,
zip_postcode text,
state_province_county text,
country text
)
CREATE TABLE customer_payments (
customer_id number,
datetime_payment time,
payment_method_code text,
amount_payment number
)
|
SELECT nickname FROM staff WHERE first_name = "Janessa" AND last_name = "Sawayn"
|
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What is the circuit held on 15 april?
|
CREATE TABLE table_77934 (
"Race Name" text,
"Circuit" text,
"Date" text,
"Winning driver" text,
"Constructor" text,
"Report" text
)
|
SELECT "Circuit" FROM table_77934 WHERE "Date" = '15 april'
|
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Which Cardinalatial Title has an Elevator of pope eugenius iv?
|
CREATE TABLE table_5554 (
"Elector" text,
"Nationality" text,
"Cardinalatial Title" text,
"Elevated" text,
"Elevator" text
)
|
SELECT "Cardinalatial Title" FROM table_5554 WHERE "Elevator" = 'pope eugenius iv'
|
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What score has zadar as the tournament?
|
CREATE TABLE table_name_27 (
score VARCHAR,
tournament VARCHAR
)
|
SELECT score FROM table_name_27 WHERE tournament = "zadar"
|
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What is the sum of the final for finland, who placed greater than 2 and had an all around larger than 18.9?
|
CREATE TABLE table_60944 (
"Place" real,
"Nation" text,
"All Around" real,
"Final" real,
"Total" real
)
|
SELECT SUM("Final") FROM table_60944 WHERE "Place" > '2' AND "Nation" = 'finland' AND "All Around" > '18.9'
|
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If it is possible to increase the number of police officers, which place is with the first priority?
|
CREATE TABLE greatermanchestercrime (
crimeid text,
crimets time,
location text,
lsoa text,
type text,
outcome text
)
|
SELECT location FROM greatermanchestercrime GROUP BY location ORDER BY COUNT(*) DESC LIMIT 1
|
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For those records from the products and each product's manufacturer, return a bar chart about the distribution of name and price , and group by attribute name, show Y-axis from low to high order.
|
CREATE TABLE Manufacturers (
Code INTEGER,
Name VARCHAR(255),
Headquarter VARCHAR(255),
Founder VARCHAR(255),
Revenue REAL
)
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255),
Price DECIMAL,
Manufacturer INTEGER
)
|
SELECT T1.Name, T1.Price FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name, T1.Name ORDER BY T1.Price
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Which is the lowest round to have a pick of 12 and position of linebacker?
|
CREATE TABLE table_name_86 (round INTEGER, pick__number VARCHAR, position VARCHAR)
|
SELECT MIN(round) FROM table_name_86 WHERE pick__number = 12 AND position = "linebacker"
|
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Which party had a member on August 26, 2008?
|
CREATE TABLE table_33495 (
"Date" text,
"Name" text,
"Party" text,
"Province" text,
"Details" text
)
|
SELECT "Party" FROM table_33495 WHERE "Date" = 'august 26, 2008'
|
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Tell me the overall rank for roland schoeman
|
CREATE TABLE table_name_50 (
overall_rank VARCHAR,
swimmer VARCHAR
)
|
SELECT overall_rank FROM table_name_50 WHERE swimmer = "roland schoeman"
|
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For those employees who do not work in departments with managers that have ids between 100 and 200, visualize a scatter chart about the correlation between commission_pct and department_id .
|
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE 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 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 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 COMMISSION_PCT, DEPARTMENT_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200)
|
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List the amount of carbon emissions for models that go from 0-62 MPH in 8.5 seconds.
|
CREATE TABLE table_25837 (
"Model" text,
"Engine" text,
"Displacement" text,
"Max. power output" text,
"Peak torque" text,
"0\u2013100km/h,s 0-62mph,s" text,
"Top speed" text,
"CO 2 emissions" text,
"Years" text,
"Note" text,
"Engine code" text
)
|
SELECT "CO 2 emissions" FROM table_25837 WHERE "0\u2013100km/h,s 0-62mph,s" = '8.5'
|
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What District has a Location of tharamani?
|
CREATE TABLE table_name_24 (district VARCHAR, location VARCHAR)
|
SELECT district FROM table_name_24 WHERE location = "tharamani"
|
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What's the first elected year of the district that Ed Towns is an incumbent of?
|
CREATE TABLE table_1341453_34 (
first_elected VARCHAR,
incumbent VARCHAR
)
|
SELECT first_elected FROM table_1341453_34 WHERE incumbent = "Ed Towns"
|
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What is the date of the Greater Greensboro Chrysler Classic?
|
CREATE TABLE table_75100 (
"Date" text,
"Tournament" text,
"Location" text,
"Winner" text,
"Score" text,
"1st prize ( $ )" real
)
|
SELECT "Date" FROM table_75100 WHERE "Tournament" = 'greater greensboro chrysler classic'
|
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How many visitors in 2007 were there for ski jumping hill?
|
CREATE TABLE table_name_10 (_2007 VARCHAR, visitors INTEGER, type VARCHAR)
|
SELECT SUM(visitors), _2007 FROM table_name_10 WHERE type = "ski jumping hill"
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How many results of the count of Latin Americans in Yukon in 2001 are there?
|
CREATE TABLE table_1939405_2 (latin_americans_2001 VARCHAR, province VARCHAR)
|
SELECT COUNT(latin_americans_2001) FROM table_1939405_2 WHERE province = "Yukon"
|
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If the rings are 60.500, what is the parallel bars number?
|
CREATE TABLE table_18662026_1 (parallel_bars VARCHAR, rings VARCHAR)
|
SELECT parallel_bars FROM table_18662026_1 WHERE rings = "60.500"
|
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What player was chosen for the Chicago Sky?
|
CREATE TABLE table_name_57 (player VARCHAR, wnba_team VARCHAR)
|
SELECT player FROM table_name_57 WHERE wnba_team = "chicago sky"
|
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What won best pc demo when tower power (camelot) won best c64 demo?
|
CREATE TABLE table_27181 (
"Year" text,
"Amiga demo" text,
"PC demo" text,
"C64 demo" text,
"Amiga intro" text,
"PC intro" text
)
|
SELECT "PC demo" FROM table_27181 WHERE "C64 demo" = 'Tower Power (Camelot)'
|
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What is the crowd with Away team of hawthorn?
|
CREATE TABLE table_name_94 (
crowd INTEGER,
away_team VARCHAR
)
|
SELECT AVG(crowd) FROM table_name_94 WHERE away_team = "hawthorn"
|
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-100
] |
what is the total number of home games played ?
|
CREATE TABLE table_203_534 (
id number,
"week" number,
"date" text,
"opponent" text,
"home/away" text,
"result" text,
"bye" text
)
|
SELECT COUNT(*) FROM table_203_534 WHERE "home/away" = 'home'
|
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What shows for 202 when the 1994 is A, the 1989 is NME, and the 199 is 2R?
|
CREATE TABLE table_77382 (
"Tournament" text,
"1988" text,
"1989" text,
"1990" text,
"1991" text,
"1992" text,
"1993" text,
"1994" text,
"1995" text,
"1996" text,
"1997" text,
"1998" text,
"1999" text,
"2000" text,
"2001" text,
"2002" text,
"2003" text,
"2004" text
)
|
SELECT "2002" FROM table_77382 WHERE "1994" = 'a' AND "1989" = 'nme' AND "1999" = '2r'
|
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Which venues closed in the 1990s?
|
CREATE TABLE table_name_76 (
venue VARCHAR,
closed VARCHAR
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SELECT venue FROM table_name_76 WHERE closed = "1990s"
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Name the opponent which has a home/away of home and date of july 27
|
CREATE TABLE table_name_9 (
opponent VARCHAR,
home_away VARCHAR,
date VARCHAR
)
|
SELECT opponent FROM table_name_9 WHERE home_away = "home" AND date = "july 27"
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13.7 million watched the 22nd year . how many watched the previous year ?
|
CREATE TABLE table_204_996 (
id number,
"no." text,
"air date" text,
"network" text,
"household\nrating" number,
"viewers\n(millions)" text
)
|
SELECT "viewers\n(millions)" FROM table_204_996 WHERE "no." = 22 - 1
|
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Which school is the player who is headed to Duke from?
|
CREATE TABLE table_name_68 (
school VARCHAR,
college VARCHAR
)
|
SELECT school FROM table_name_68 WHERE college = "duke"
|
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What is the Score on April 6?
|
CREATE TABLE table_name_71 (
score VARCHAR,
date VARCHAR
)
|
SELECT score FROM table_name_71 WHERE date = "april 6"
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What is the highest grid when the race was retired due to the gearbox after 67 laps?
|
CREATE TABLE table_name_70 (
grid INTEGER,
time_retired VARCHAR,
laps VARCHAR
)
|
SELECT MAX(grid) FROM table_name_70 WHERE time_retired = "gearbox" AND laps > 67
|
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What is the rank of the company who has a revenue of $428.2 billion?
|
CREATE TABLE table_50640 (
"Rank" real,
"Company" text,
"Country" text,
"Industry" text,
"Revenue in USD" text
)
|
SELECT COUNT("Rank") FROM table_50640 WHERE "Revenue in USD" = '$428.2 billion'
|
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What team does Anthony Redmond ride for?
|
CREATE TABLE table_name_32 (
team VARCHAR,
rider VARCHAR
)
|
SELECT team FROM table_name_32 WHERE rider = "anthony redmond"
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How many documents in different ending date? Return a bar chart binning ending date by weekday, order y-axis from low to high order.
|
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255)
)
CREATE TABLE Document_Locations (
Document_ID INTEGER,
Location_Code CHAR(15),
Date_in_Location_From DATETIME,
Date_in_Locaton_To DATETIME
)
CREATE TABLE Employees (
Employee_ID INTEGER,
Role_Code CHAR(15),
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1),
Date_of_Birth DATETIME,
Other_Details VARCHAR(255)
)
CREATE TABLE All_Documents (
Document_ID INTEGER,
Date_Stored DATETIME,
Document_Type_Code CHAR(15),
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255)
)
CREATE TABLE Roles (
Role_Code CHAR(15),
Role_Name VARCHAR(255),
Role_Description VARCHAR(255)
)
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME,
Day_Number INTEGER
)
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15),
Document_Type_Name VARCHAR(255),
Document_Type_Description VARCHAR(255)
)
CREATE TABLE Ref_Locations (
Location_Code CHAR(15),
Location_Name VARCHAR(255),
Location_Description VARCHAR(255)
)
|
SELECT Date_in_Locaton_To, COUNT(Date_in_Locaton_To) FROM Document_Locations ORDER BY COUNT(Date_in_Locaton_To)
|
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find out the number of patients less than 79 years who have been diagnosed with wheelchair dependence.
|
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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "79" AND diagnoses.short_title = "Wheelchair dependence"
|
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what was the name of the drug to which patient 015-46307 was allergic since 83 months ago.
|
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime 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 medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime 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 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 allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
|
SELECT allergy.drugname FROM allergy WHERE allergy.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '015-46307')) AND DATETIME(allergy.allergytime) >= DATETIME(CURRENT_TIME(), '-83 month')
|
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What power belongs to the LP Class and has an Identifier of CBLI?
|
CREATE TABLE table_41022 (
"City of license" text,
"Identifier" text,
"Frequency" text,
"Power" text,
"Class" text,
"RECNet" text
)
|
SELECT "Power" FROM table_41022 WHERE "Class" = 'lp' AND "Identifier" = 'cbli'
|
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What is the Year won for the player with a larger than 4 To par and less the 157 Total?
|
CREATE TABLE table_41508 (
"Player" text,
"Country" text,
"Year won" real,
"Total" real,
"To par" real
)
|
SELECT "Year won" FROM table_41508 WHERE "To par" > '4' AND "Total" < '157'
|
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What is the area of Austria's territory in square kilometers?
|
CREATE TABLE table_24066938_1 (
area_km_2 VARCHAR,
member_state VARCHAR
)
|
SELECT area_km_2 FROM table_24066938_1 WHERE member_state = "Austria"
|
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What was the production number of the episode titel of pre-hysterical hare?
|
CREATE TABLE table_name_76 (
production_number VARCHAR,
title VARCHAR
)
|
SELECT COUNT(production_number) FROM table_name_76 WHERE title = "pre-hysterical hare"
|
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how many of the versions are over 6 minutes ?
|
CREATE TABLE table_203_289 (
id number,
"version" text,
"length" text,
"album" text,
"remixed by" text,
"year" number,
"comment" text
)
|
SELECT COUNT("version") FROM table_203_289 WHERE "length" >= 6
|
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What is the sum of Points, when Played is less than 114, when Team is Gimnasia De Jujuy, and when 1994-1995 is less than 32?
|
CREATE TABLE table_9671 (
"Team" text,
"Average" real,
"Points" real,
"Played" real,
"1992-93" text,
"1993-94" text,
"1994-1995" real
)
|
SELECT SUM("Points") FROM table_9671 WHERE "Played" < '114' AND "Team" = 'gimnasia de jujuy' AND "1994-1995" < '32'
|
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How many years has an engine of audi 3.6l turbo v8 and 1st as the rank with an audi r8r as the chassis?
|
CREATE TABLE table_name_10 (
year VARCHAR,
chassis VARCHAR,
engine VARCHAR,
rank VARCHAR
)
|
SELECT COUNT(year) FROM table_name_10 WHERE engine = "audi 3.6l turbo v8" AND rank = "1st" AND chassis = "audi r8r"
|
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2847,
17161,
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Give the number of elective hospital admission patients on a heparin (iabp) prescription.
|
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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_type = "ELECTIVE" AND prescriptions.drug = "Heparin (IABP)"
|
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[
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2847,
17161,
599,
15438,
25424,
6227,
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5,
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11827,
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] |
Bar chart x axis year y axis total number of avg(price), order in desc by the sum avg(price).
|
CREATE TABLE appellations (
No INTEGER,
Appelation TEXT,
County TEXT,
State TEXT,
Area TEXT,
isAVA TEXT
)
CREATE TABLE wine (
No INTEGER,
Grape TEXT,
Winery TEXT,
Appelation TEXT,
State TEXT,
Name TEXT,
Year INTEGER,
Price INTEGER,
Score INTEGER,
Cases INTEGER,
Drink TEXT
)
CREATE TABLE grapes (
ID INTEGER,
Grape TEXT,
Color TEXT
)
|
SELECT Year, SUM(AVG(Price)) FROM wine ORDER BY SUM(AVG(Price)) DESC
|
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provide the number of patients whose admission type is elective and insurance is medicaid?
|
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
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.admission_type = "ELECTIVE" AND demographic.insurance = "Medicaid"
|
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WHAT SCHOOL DID THE PLAYER FROM SOUTH CAROLINA ATTEND?
|
CREATE TABLE table_17069 (
"Player" text,
"Position" text,
"School" text,
"Hometown" text,
"College" text
)
|
SELECT "School" FROM table_17069 WHERE "College" = 'South Carolina'
|
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What position did the player from Baylor play?
|
CREATE TABLE table_10015132_1 (position VARCHAR, school_club_team VARCHAR)
|
SELECT position FROM table_10015132_1 WHERE school_club_team = "Baylor"
|
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Was there a reissue with a release date of 1954-09-04 having a production number more than 1289 and a director of Robert McKimson?
|
CREATE TABLE table_66357 (
"Title" text,
"Series" text,
"Director" text,
"Production Number" real,
"Release date" text,
"reissue?" text
)
|
SELECT "reissue?" FROM table_66357 WHERE "Director" = 'robert mckimson' AND "Production Number" > '1289' AND "Release date" = '1954-09-04'
|
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What are the top 10 states that have the highest average math score and federal revenue they got through different categories?
|
CREATE TABLE finrev_fed_17 (
state_code number,
idcensus number,
school_district text,
nces_id text,
yr_data number,
t_fed_rev number,
c14 number,
c25 number
)
CREATE TABLE finrev_fed_key_17 (
state_code number,
state text,
#_records text
)
CREATE TABLE ndecoreexcel_math_grade8 (
year number,
state text,
all_students text,
average_scale_score number
)
|
SELECT T2.state, SUM(c14), SUM(c25) FROM finrev_fed_17 AS T1 JOIN finrev_fed_key_17 AS T2 ON T1.state_code = T2.state_code JOIN ndecoreexcel_math_grade8 AS T3 ON T2.state = T3.state GROUP BY T2.state ORDER BY T3.average_scale_score DESC LIMIT 10
|
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What was the record at the game held on December 24, 2005?
|
CREATE TABLE table_name_11 (
record VARCHAR,
date VARCHAR
)
|
SELECT record FROM table_name_11 WHERE date = "december 24, 2005"
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Who is the president from the Union for a Popular Movement party that represents the Hautes-Alpes department?
|
CREATE TABLE table_76676 (
"Number" text,
"D\u00e9partment (or collectivity)" text,
"Pr\u00e9sident" text,
"Party" text,
"Since" real
)
|
SELECT "Pr\u00e9sident" FROM table_76676 WHERE "Party" = 'union for a popular movement' AND "D\u00e9partment (or collectivity)" = 'hautes-alpes'
|
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what is the gold when silver is 1, event is 2000 summer paralympics and bronze is more than 3?
|
CREATE TABLE table_43798 (
"Event" text,
"Gold" real,
"Silver" real,
"Bronze" real,
"Total" real
)
|
SELECT AVG("Gold") FROM table_43798 WHERE "Silver" = '1' AND "Event" = '2000 summer paralympics' AND "Bronze" > '3'
|
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Tell me the average wins for class of 50cc and rank of 8th
|
CREATE TABLE table_name_47 (
wins INTEGER,
class VARCHAR,
rank VARCHAR
)
|
SELECT AVG(wins) FROM table_name_47 WHERE class = "50cc" AND rank = "8th"
|
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With order number 7 and the theme is Motown, who were the original artists?
|
CREATE TABLE table_24428 (
"Week #" text,
"Theme" text,
"Song choice" text,
"Original artist" text,
"Order #" text,
"Result" text
)
|
SELECT "Original artist" FROM table_24428 WHERE "Order #" = '7' AND "Theme" = 'Motown'
|
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What is the born-died that has office of 13 September 1229 as the entered?
|
CREATE TABLE table_name_8 (born_died VARCHAR, entered_office VARCHAR)
|
SELECT born_died FROM table_name_8 WHERE entered_office = "13 september 1229"
|
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Which Venue has a Competition of european championships, and a Position of 7th?
|
CREATE TABLE table_name_22 (
venue VARCHAR,
competition VARCHAR,
position VARCHAR
)
|
SELECT venue FROM table_name_22 WHERE competition = "european championships" AND position = "7th"
|
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Name the played with losing bonus of 3 and points against of 426
|
CREATE TABLE table_6333 (
"Club" text,
"Played" text,
"Drawn" text,
"Lost" text,
"Points for" text,
"Points against" text,
"Tries for" text,
"Tries against" text,
"Try bonus" text,
"Losing bonus" text,
"Points" text
)
|
SELECT "Played" FROM table_6333 WHERE "Losing bonus" = '3' AND "Points against" = '426'
|
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who is team 1 when team 2 is usl dunkerque (d2)?
|
CREATE TABLE table_14203 (
"Team 1" text,
"Score" text,
"Team 2" text,
"1st round" text,
"2nd round" text
)
|
SELECT "Team 1" FROM table_14203 WHERE "Team 2" = 'usl dunkerque (d2)'
|
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What was the score of the game where the record was 2-2?
|
CREATE TABLE table_name_76 (score VARCHAR, record VARCHAR)
|
SELECT score FROM table_name_76 WHERE record = "2-2"
|
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Where was the location and what was the attendance in the game that Anthony Parker (7) earned high assists?
|
CREATE TABLE table_21535 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location Attendance" text,
"Record" text
)
|
SELECT "Location Attendance" FROM table_21535 WHERE "High assists" = 'Anthony Parker (7)'
|
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What is latitude when 2010 population is 24 and water is more than 0.319?
|
CREATE TABLE table_name_24 (
latitude INTEGER,
pop__2010_ VARCHAR,
water__sqmi_ VARCHAR
)
|
SELECT MAX(latitude) FROM table_name_24 WHERE pop__2010_ = 24 AND water__sqmi_ > 0.319
|
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For all employees who have the letters D or S in their first name, show me about the distribution of hire_date and the average of salary bin hire_date by weekday in a bar chart.
|
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
|
SELECT HIRE_DATE, AVG(SALARY) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%'
|
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3,
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834,
308,
6048,
6,
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17217,
599,
134,
4090,
24721,
61,
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1652,
549,
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427,
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834,
567,
17683,
8729,
9914,
3,
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308,
1454,
31,
4674,
30085,
834,
567,
17683,
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-100,
-100
] |
What is the highest population within the municipality of Porsgrunn?
|
CREATE TABLE table_name_28 (population INTEGER, municipality VARCHAR)
|
SELECT MAX(population) FROM table_name_28 WHERE municipality = "porsgrunn"
|
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102,
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] |
Show the number of gas stations for each manager in a bar chart, and show by the names in ascending.
|
CREATE TABLE gas_station (
Station_ID int,
Open_Year int,
Location text,
Manager_Name text,
Vice_Manager_Name text,
Representative_Name text
)
CREATE TABLE station_company (
Station_ID int,
Company_ID int,
Rank_of_the_Year int
)
CREATE TABLE company (
Company_ID int,
Rank int,
Company text,
Headquarters text,
Main_Industry text,
Sales_billion real,
Profits_billion real,
Assets_billion real,
Market_Value real
)
|
SELECT Manager_Name, COUNT(Manager_Name) FROM gas_station GROUP BY Manager_Name ORDER BY Manager_Name
|
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6048,
332,
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32103,
32101,
32103,
3111,
8,
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What is the total number of rounds that UCLA has?
|
CREATE TABLE table_52094 (
"Round" real,
"Pick" real,
"Name" text,
"Position" text,
"School" text
)
|
SELECT COUNT("Round") FROM table_52094 WHERE "School" = 'ucla'
|
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Which event had the record of 18 5 (1)?
|
CREATE TABLE table_name_18 (
event VARCHAR,
record VARCHAR
)
|
SELECT event FROM table_name_18 WHERE record = "18–5 (1)"
|
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what is the june 14, 2009 stat where october 20, 2008 stat is november 15, 2010
|
CREATE TABLE table_22376 (
"Mexico" text,
"Ma\u00f1ana es para siempre" text,
"El Canal de las Estrellas" text,
"October 20, 2008" text,
"June 14, 2009" text,
"Monday to Friday" text
)
|
SELECT "June 14, 2009" FROM table_22376 WHERE "October 20, 2008" = 'November 15, 2010'
|
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Who is listed as the Winners with a Year of 2005?
|
CREATE TABLE table_15303 (
"Year" text,
"Venue" text,
"Winners" text,
"2nd place" text,
"3rd place" text
)
|
SELECT "Winners" FROM table_15303 WHERE "Year" = '2005'
|
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which utility vehicle has the most number in service ?
|
CREATE TABLE table_204_295 (
id number,
"model" text,
"origin" text,
"type" text,
"version" text,
"in service" number,
"notes" text
)
|
SELECT "model" FROM table_204_295 ORDER BY "in service" DESC LIMIT 1
|
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Find the product category description of the product category with code 'Spices'.
|
CREATE TABLE product_characteristics (
product_id number,
characteristic_id number,
product_characteristic_value text
)
CREATE TABLE products (
product_id number,
color_code text,
product_category_code text,
product_name text,
typical_buying_price text,
typical_selling_price text,
product_description text,
other_product_details text
)
CREATE TABLE ref_colors (
color_code text,
color_description text
)
CREATE TABLE ref_characteristic_types (
characteristic_type_code text,
characteristic_type_description text
)
CREATE TABLE ref_product_categories (
product_category_code text,
product_category_description text,
unit_of_measure text
)
CREATE TABLE characteristics (
characteristic_id number,
characteristic_type_code text,
characteristic_data_type text,
characteristic_name text,
other_characteristic_details text
)
|
SELECT product_category_description FROM ref_product_categories WHERE product_category_code = "Spices"
|
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What is Record, when High Points is 'Ray Allen (20)'?
|
CREATE TABLE table_9010 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High assists" text,
"Location Attendance" text,
"Record" text
)
|
SELECT "Record" FROM table_9010 WHERE "High points" = 'ray allen (20)'
|
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how many games did the broncos win in 1998 by more than 10 points ?
|
CREATE TABLE table_203_114 (
id number,
"week" number,
"date" text,
"tv time" text,
"opponent" text,
"result" text,
"game site" text,
"record" text,
"attendance" number,
"bye" text
)
|
SELECT COUNT(*) FROM table_203_114 WHERE "result" - "result" > 10
|
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Which Game has a Score of 101-109 (ot)?
|
CREATE TABLE table_47732 (
"Game" real,
"Date" text,
"Opponent" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location/Attendance" text,
"Record" text
)
|
SELECT AVG("Game") FROM table_47732 WHERE "Score" = '101-109 (ot)'
|
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] |
Name the total number of ground for essendon
|
CREATE TABLE table_20750 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Ground" text,
"Date" text,
"Crowd" real
)
|
SELECT COUNT("Ground") FROM table_20750 WHERE "Home team" = 'Essendon'
|
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What was Fred Couples' score?
|
CREATE TABLE table_name_15 (score VARCHAR, player VARCHAR)
|
SELECT COUNT(score) FROM table_name_15 WHERE player = "fred couples"
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What is the attendance before week 1?
|
CREATE TABLE table_47390 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"Attendance" real
)
|
SELECT COUNT("Attendance") FROM table_47390 WHERE "Week" < '1'
|
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What is the tie no when scunthorpe united was the away team?
|
CREATE TABLE table_name_6 (
tie_no VARCHAR,
away_team VARCHAR
)
|
SELECT tie_no FROM table_name_6 WHERE away_team = "scunthorpe united"
|
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What is the Height for Years of Rockets of 2005-06?
|
CREATE TABLE table_name_44 (
height_in_ft VARCHAR,
years_for_rockets VARCHAR
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|
SELECT height_in_ft FROM table_name_44 WHERE years_for_rockets = "2005-06"
|
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Who was the winning driver of the Circuit of Lausitzring?
|
CREATE TABLE table_name_15 (
winning_driver VARCHAR,
circuit VARCHAR
)
|
SELECT winning_driver FROM table_name_15 WHERE circuit = "lausitzring"
|
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What is Tournament, when 2001 is "1R"?
|
CREATE TABLE table_name_48 (tournament VARCHAR)
|
SELECT tournament FROM table_name_48 WHERE 2001 = "1r"
|
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Name the winning pilot for hungary
|
CREATE TABLE table_23498 (
"Round" real,
"Location" text,
"Country" text,
"Date" text,
"Fastest Qualifying" text,
"Winning Pilot" text,
"Winning Aircraft" text
)
|
SELECT "Winning Pilot" FROM table_23498 WHERE "Country" = 'Hungary'
|
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what is the number of patients whose year of birth is less than 1850 and diagnoses short title is intestinal obstruct nos?
|
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
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.dob_year < "1850" AND diagnoses.short_title = "Intestinal obstruct NOS"
|
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