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 Player's had a To par of +1 and a Score of 73-71-73=217?
|
CREATE TABLE table_name_12 (
player VARCHAR,
to_par VARCHAR,
score VARCHAR
)
|
SELECT player FROM table_name_12 WHERE to_par = "+1" AND score = 73 - 71 - 73 = 217
|
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Tell me the number for height in ft of 6-7
|
CREATE TABLE table_name_18 (no_s_ VARCHAR, height_in_ft VARCHAR)
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SELECT no_s_ FROM table_name_18 WHERE height_in_ft = "6-7"
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What is the RR Romaja for the province that has Hangul of and capital of Wonsan?
|
CREATE TABLE table_name_85 (
rr_romaja VARCHAR,
hangul_chosongul VARCHAR,
capital VARCHAR
)
|
SELECT rr_romaja FROM table_name_85 WHERE hangul_chosongul = "강원도" AND capital = "wonsan"
|
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laboratory abnormalities on screening bloodwork including: estimated glomerular filtration rate < 90 ml / min per 1.73 m2 of body surface area ; serum calcium > 10.5 mg / dl ; serum potassium < 3.5 mmol / l
|
CREATE TABLE table_train_213 (
"id" int,
"serum_potassium" float,
"laboratory_abnormality" bool,
"hemoglobin_a1c_hba1c" float,
"positive_hiv" bool,
"serum_calcium" float,
"estimated_glomerular_filtration_rate_egfr" int,
"body_mass_index_bmi" float,
"age" float,
"NOUSE" float
)
|
SELECT * FROM table_train_213 WHERE laboratory_abnormality = 1 OR (estimated_glomerular_filtration_rate_egfr < 90 OR serum_calcium > 10.5 OR serum_potassium < 3.5)
|
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What country did Bart Bryant with a score of 69-70=139 belong to?
|
CREATE TABLE table_name_37 (country VARCHAR, player VARCHAR, score VARCHAR)
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SELECT country FROM table_name_37 WHERE score = 69 - 70 = 139 AND player = "bart bryant"
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] |
Name the most played for 140 plus is 13
|
CREATE TABLE table_22272 (
"Player" text,
"Played" real,
"Legs Won" real,
"Legs Lost" real,
"LWAT" real,
"100+" real,
"140+" real,
"180s" real,
"High Checkout" real,
"3-dart Average" text
)
|
SELECT MAX("Played") FROM table_22272 WHERE "140+" = '13'
|
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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 manufacturer , and group by attribute headquarter, and order in ascending by the Y-axis please.
|
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.Manufacturer FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Headquarter, T1.Name ORDER BY T1.Manufacturer
|
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how many patients are diagnosed with other and unspecified noninfectious gastroenteritis and colitis and have lab test results showing abnormal status?
|
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.long_title = "Other and unspecified noninfectious gastroenteritis and colitis" AND lab.flag = "delta"
|
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Bar chart x axis policy type code y axis the total number, and display from high to low by the bar.
|
CREATE TABLE Customers (
Customer_ID INTEGER,
Customer_Details VARCHAR(255)
)
CREATE TABLE Claims_Documents (
Claim_ID INTEGER,
Document_Type_Code CHAR(15),
Created_by_Staff_ID INTEGER,
Created_Date INTEGER
)
CREATE TABLE Policies (
Policy_ID INTEGER,
Customer_ID INTEGER,
Policy_Type_Code CHAR(15),
Start_Date DATETIME,
End_Date DATETIME
)
CREATE TABLE Staff (
Staff_ID INTEGER,
Staff_Details VARCHAR(255)
)
CREATE TABLE Claim_Headers (
Claim_Header_ID INTEGER,
Claim_Status_Code CHAR(15),
Claim_Type_Code CHAR(15),
Policy_ID INTEGER,
Date_of_Claim DATETIME,
Date_of_Settlement DATETIME,
Amount_Claimed DECIMAL(20,4),
Amount_Piad DECIMAL(20,4)
)
CREATE TABLE Claims_Processing (
Claim_Processing_ID INTEGER,
Claim_ID INTEGER,
Claim_Outcome_Code CHAR(15),
Claim_Stage_ID INTEGER,
Staff_ID INTEGER
)
CREATE TABLE Claims_Processing_Stages (
Claim_Stage_ID INTEGER,
Next_Claim_Stage_ID INTEGER,
Claim_Status_Name VARCHAR(255),
Claim_Status_Description VARCHAR(255)
)
|
SELECT Policy_Type_Code, COUNT(*) FROM Policies GROUP BY Policy_Type_Code ORDER BY Policy_Type_Code DESC
|
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What Position has a Level of tier 4 with a Season smaller than 2003?
|
CREATE TABLE table_name_85 (position VARCHAR, level VARCHAR, season VARCHAR)
|
SELECT position FROM table_name_85 WHERE level = "tier 4" AND season < 2003
|
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What is the tournament on 22 October 2012?
|
CREATE TABLE table_5549 (
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"Date" text,
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"Score" text
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|
SELECT "Tournament" FROM table_5549 WHERE "Date" = '22 october 2012'
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What event took place in Erfurt, Germany?
|
CREATE TABLE table_31875 (
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"Competition" text,
"Venue" text,
"Position" text,
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|
SELECT "Event" FROM table_31875 WHERE "Venue" = 'erfurt, germany'
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On 11 Feb 1990, the competition is listed as what?
|
CREATE TABLE table_15691 (
"Date" text,
"Score" text,
"Location" text,
"Competition" text,
"Serial No." text
)
|
SELECT "Competition" FROM table_15691 WHERE "Date" = '11 feb 1990'
|
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List all payment methods and number of payments using each payment methods by a bar chart, rank from low to high by the y axis.
|
CREATE TABLE Customers (
customer_id INTEGER,
customer_address_id INTEGER,
customer_status_code VARCHAR(15),
date_became_customer DATETIME,
date_of_birth DATETIME,
first_name VARCHAR(80),
last_name VARCHAR(80),
amount_outstanding DOUBLE,
email_address VARCHAR(250),
phone_number VARCHAR(255),
cell_mobile_phone_number VARCHAR(255)
)
CREATE TABLE Addresses (
address_id INTEGER,
line_1_number_building VARCHAR(80),
city VARCHAR(50),
zip_postcode VARCHAR(20),
state_province_county VARCHAR(50),
country VARCHAR(50)
)
CREATE TABLE Lessons (
lesson_id INTEGER,
customer_id INTEGER,
lesson_status_code VARCHAR(15),
staff_id INTEGER,
vehicle_id INTEGER,
lesson_date DATETIME,
lesson_time VARCHAR(10),
price DOUBLE
)
CREATE TABLE Staff (
staff_id INTEGER,
staff_address_id INTEGER,
nickname VARCHAR(80),
first_name VARCHAR(80),
middle_name VARCHAR(80),
last_name VARCHAR(80),
date_of_birth DATETIME,
date_joined_staff DATETIME,
date_left_staff DATETIME
)
CREATE TABLE Customer_Payments (
customer_id INTEGER,
datetime_payment DATETIME,
payment_method_code VARCHAR(10),
amount_payment DOUBLE
)
CREATE TABLE Vehicles (
vehicle_id INTEGER,
vehicle_details VARCHAR(255)
)
|
SELECT payment_method_code, COUNT(*) FROM Customer_Payments GROUP BY payment_method_code ORDER BY COUNT(*)
|
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What is the Theme Song of the Yukan Club?
|
CREATE TABLE table_name_64 (
theme_song_s_ VARCHAR,
romaji_title VARCHAR
)
|
SELECT theme_song_s_ FROM table_name_64 WHERE romaji_title = "yukan club"
|
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what is the lowest position when points is more than 11, name is ea schongau and lost is less than 3?
|
CREATE TABLE table_name_47 (
position INTEGER,
lost VARCHAR,
points VARCHAR,
name VARCHAR
)
|
SELECT MIN(position) FROM table_name_47 WHERE points > 11 AND name = "ea schongau" AND lost < 3
|
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what is the venue when the home team is melbourne?
|
CREATE TABLE table_name_67 (
venue VARCHAR,
home_team VARCHAR
)
|
SELECT venue FROM table_name_67 WHERE home_team = "melbourne"
|
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What is the model for Thor's Hammer which is listed as operating?
|
CREATE TABLE table_55048 (
"Name" text,
"Model" text,
"Park" text,
"Opened" text,
"Status" text
)
|
SELECT "Model" FROM table_55048 WHERE "Status" = 'operating' AND "Name" = 'thor''s hammer'
|
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What is the most laps with a qualification of 106.185?
|
CREATE TABLE table_71480 (
"Year" text,
"Start" text,
"Qual" text,
"Rank" text,
"Finish" text,
"Laps" real
)
|
SELECT MAX("Laps") FROM table_71480 WHERE "Qual" = '106.185'
|
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Which Lane has a Reaction Time smaller than 0.199, and a Country of united states, and a Name of muna lee, and a Time larger than 22.01?
|
CREATE TABLE table_name_3 (
lane INTEGER,
time VARCHAR,
name VARCHAR,
reaction_time VARCHAR,
country VARCHAR
)
|
SELECT MAX(lane) FROM table_name_3 WHERE reaction_time < 0.199 AND country = "united states" AND name = "muna lee" AND time > 22.01
|
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When was the last year when Katharine Hepburn won?
|
CREATE TABLE table_54722 (
"Superlative" text,
"Actress" text,
"Record Set" text,
"Year" real,
"Notes" text
)
|
SELECT MAX("Year") FROM table_54722 WHERE "Actress" = 'katharine hepburn'
|
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What song has a draw more than 4 in 1st place?
|
CREATE TABLE table_61558 (
"Draw" real,
"Artist" text,
"Song" text,
"Results" text,
"Place" text
)
|
SELECT "Song" FROM table_61558 WHERE "Draw" > '4' AND "Place" = '1st'
|
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How many listings under Melbourne has a distance at 15km?
|
CREATE TABLE table_31021 (
"Distance" text,
"Adelaide" text,
"Brisbane" text,
"Canberra" text,
"Melbourne" text,
"Perth" text,
"Sydney" text
)
|
SELECT COUNT("Melbourne") FROM table_31021 WHERE "Distance" = '15km'
|
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] |
how many patients aged below 72 years speak span?
|
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 prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.language = "SPAN" AND demographic.age < "72"
|
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6,
141,
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Why was Otago formed?
|
CREATE TABLE table_275023_1 (
reason VARCHAR,
province VARCHAR
)
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SELECT reason FROM table_275023_1 WHERE province = "Otago"
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what is age and gender of subject name charles nilsson?
|
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE 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 demographic.age, demographic.gender FROM demographic WHERE demographic.name = "Charles Nilsson"
|
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What is the title for season 2?
|
CREATE TABLE table_11630008_4 (title VARCHAR, season_no VARCHAR)
|
SELECT title FROM table_11630008_4 WHERE season_no = 2
|
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how many patients since 2105 have received a sputum, tracheal specimen microbiological test?
|
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
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
)
|
SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE patient.patientunitstayid IN (SELECT microlab.patientunitstayid FROM microlab WHERE microlab.culturesite = 'sputum, tracheal specimen' AND STRFTIME('%y', microlab.culturetakentime) >= '2105')
|
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What is the lightweight value with no information model and the flexible value is unknown?
|
CREATE TABLE table_31598 (
"Schemas" text,
"Flexible" text,
"Semantic verification" text,
"Dictionary" text,
"Information Model" text,
"Synonyms and homonyms" text,
"Dialecting" text,
"Web standard" text,
"Transformations" text,
"Lightweight" text,
"Human readable" text
)
|
SELECT "Lightweight" FROM table_31598 WHERE "Information Model" = 'no' AND "Flexible" = 'unknown'
|
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Which venue led to a result of 23rd?
|
CREATE TABLE table_name_96 (venue VARCHAR, result VARCHAR)
|
SELECT venue FROM table_name_96 WHERE result = "23rd"
|
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Shivnarine Chanderpaul used what bowling style?
|
CREATE TABLE table_11950720_8 (
bowling_style VARCHAR,
player VARCHAR
)
|
SELECT bowling_style FROM table_11950720_8 WHERE player = "Shivnarine Chanderpaul"
|
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] |
What round was the game with a result of 5-1 at N venue?
|
CREATE TABLE table_name_44 (round VARCHAR, venue VARCHAR, result VARCHAR)
|
SELECT round FROM table_name_44 WHERE venue = "n" AND result = "5-1"
|
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What was the injured entry for the row with a killed entry of 29?
|
CREATE TABLE table_name_98 (injured VARCHAR, killed VARCHAR)
|
SELECT injured FROM table_name_98 WHERE killed = "29"
|
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What driver has grid 2 and over 72 laps?
|
CREATE TABLE table_name_35 (
driver VARCHAR,
laps VARCHAR,
grid VARCHAR
)
|
SELECT driver FROM table_name_35 WHERE laps > 72 AND grid = 2
|
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what is the method when the time is 0:51?
|
CREATE TABLE table_68341 (
"Res." text,
"Record" text,
"Opponent" text,
"Method" text,
"Event" text,
"Round" real,
"Time" text,
"Location" text
)
|
SELECT "Method" FROM table_68341 WHERE "Time" = '0:51'
|
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What is 2011, when 2009 is 'A'?
|
CREATE TABLE table_61807 (
"Tournament" text,
"2009" text,
"2010" text,
"2011" text,
"2012" text
)
|
SELECT "2011" FROM table_61807 WHERE "2009" = 'a'
|
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What city was founded in 1857?
|
CREATE TABLE table_name_99 (
city VARCHAR,
founded VARCHAR
)
|
SELECT city FROM table_name_99 WHERE founded = 1857
|
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What is the Title written by Terri Hughes & Ron Milbauer, and an Original air date of march 6, 2001?
|
CREATE TABLE table_name_87 (
title VARCHAR,
written_by VARCHAR,
original_air_date VARCHAR
)
|
SELECT title FROM table_name_87 WHERE written_by = "terri hughes & ron milbauer" AND original_air_date = "march 6, 2001"
|
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What is the record when the score was 2 0?
|
CREATE TABLE table_name_45 (
record VARCHAR,
score VARCHAR
)
|
SELECT record FROM table_name_45 WHERE score = "2–0"
|
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How many genes in the species Rubrobacter Xylanophilus?
|
CREATE TABLE table_name_47 (genes VARCHAR, species VARCHAR)
|
SELECT genes FROM table_name_47 WHERE species = "rubrobacter xylanophilus"
|
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what is the number of patients whose diagnoses icd9 code is 481 and drug route is pb?
|
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.icd9_code = "481" AND prescriptions.route = "PB"
|
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Party of republican, and a District of 5th is what highest elected?
|
CREATE TABLE table_5785 (
"District" text,
"Incumbent" text,
"Party" text,
"Elected" real,
"Status" text
)
|
SELECT MAX("Elected") FROM table_5785 WHERE "Party" = 'republican' AND "District" = '5th'
|
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What is Fitzroy's Home team Crowd?
|
CREATE TABLE table_name_90 (crowd INTEGER, home_team VARCHAR)
|
SELECT SUM(crowd) FROM table_name_90 WHERE home_team = "fitzroy"
|
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who was the next incumbent after john randolph ?
|
CREATE TABLE table_204_109 (
id number,
"district" text,
"incumbent" text,
"party" text,
"first\nelected" text,
"result" text,
"candidates" text
)
|
SELECT "incumbent" FROM table_204_109 WHERE id = (SELECT id FROM table_204_109 WHERE "incumbent" = 'john randolph') + 1
|
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What is the total amount of freight produced of u28c?
|
CREATE TABLE table_54799 (
"PRR Class" text,
"Builder\u2019s Model" text,
"Build date" text,
"Total produced" real,
"Wheel arrangement" text,
"Service" text,
"Power output" text
)
|
SELECT "Total produced" FROM table_54799 WHERE "Service" = 'freight' AND "Builder\u2019s Model" = 'u28c'
|
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For all employees who have the letters D or S in their first name, find job_id and the sum of salary , and group by attribute job_id, and visualize them by a bar chart, and display by the Y-axis in desc please.
|
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_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)
)
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 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)
)
|
SELECT JOB_ID, SUM(SALARY) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY SUM(SALARY) DESC
|
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Who was the Player that spent the Year 2005 in Orlando?
|
CREATE TABLE table_76099 (
"Player" text,
"Nationality" text,
"Position" text,
"Years in Orlando" text,
"School/Club Team" text
)
|
SELECT "Player" FROM table_76099 WHERE "Years in Orlando" = '2005'
|
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What is Date, when Opponent is 'Philadelphia 76ers'?
|
CREATE TABLE table_name_6 (
date VARCHAR,
opponent VARCHAR
)
|
SELECT date FROM table_name_6 WHERE opponent = "philadelphia 76ers"
|
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-100
] |
How many ranks have a Bronze smaller than 8, and a Total smaller than 7, and a Gold smaller than 1?
|
CREATE TABLE table_5455 (
"Rank" real,
"Nation" text,
"Gold" real,
"Silver" real,
"Bronze" real,
"Total" real
)
|
SELECT COUNT("Rank") FROM table_5455 WHERE "Bronze" < '8' AND "Total" < '7' AND "Gold" < '1'
|
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] |
What round has hereford united as the opponent?
|
CREATE TABLE table_name_50 (
round VARCHAR,
opponent VARCHAR
)
|
SELECT round FROM table_name_50 WHERE opponent = "hereford united"
|
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Name the mission name for 21 november 1969
|
CREATE TABLE table_1558077_8 (
mission_name VARCHAR,
lunar_blastoff_date VARCHAR
)
|
SELECT mission_name FROM table_1558077_8 WHERE lunar_blastoff_date = "21 November 1969"
|
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How many international tourist arrivals were in Senegal in 2011?
|
CREATE TABLE table_14752049_2 (
international_tourist_arrivals__2011_ VARCHAR,
country VARCHAR
)
|
SELECT international_tourist_arrivals__2011_ FROM table_14752049_2 WHERE country = "Senegal"
|
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Name the catalog for alfa records and cd format
|
CREATE TABLE table_name_84 (
catalog VARCHAR,
label VARCHAR,
format VARCHAR
)
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SELECT catalog FROM table_name_84 WHERE label = "alfa records" AND format = "cd"
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What is the Score with a Hoe that is etobicoke kangaroos?
|
CREATE TABLE table_name_60 (score VARCHAR, home VARCHAR)
|
SELECT score FROM table_name_60 WHERE home = "etobicoke kangaroos"
|
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What is the sum of t ( m), when Technology is MJ?
|
CREATE TABLE table_45893 (
"Technology" text,
"\u03b7 (%)" real,
"V OC (V)" text,
"I SC (A)" text,
"W/m\u00b2" text,
"t (\u00b5m)" real
)
|
SELECT SUM("t (\u00b5m)") FROM table_45893 WHERE "Technology" = 'mj'
|
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Tell me the rank for bronze less than 17 and gold less than 1
|
CREATE TABLE table_74487 (
"Rank" text,
"Nation" text,
"Gold" real,
"Silver" real,
"Bronze" real,
"Total" real
)
|
SELECT "Rank" FROM table_74487 WHERE "Bronze" < '17' AND "Silver" > '1' AND "Gold" < '1'
|
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What was the partnership in the season of 1928
|
CREATE TABLE table_name_91 (
wicket_partnership VARCHAR,
season VARCHAR
)
|
SELECT wicket_partnership FROM table_name_91 WHERE season = "1928"
|
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Which Games played has a Points of 6, and Goals scored larger than 12?
|
CREATE TABLE table_name_83 (games_played INTEGER, points VARCHAR, goals_scored VARCHAR)
|
SELECT MAX(games_played) FROM table_name_83 WHERE points = 6 AND goals_scored > 12
|
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427,
979,
3274,
431,
3430,
1766,
834,
3523,
1271,
2490,
586,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
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-100,
-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
Which Numbers (Quantity Ordered) have a Fuel Propulsion of cng, and a Year smaller than 2008, and a Make/ Model of nabi 40-lfw?
|
CREATE TABLE table_name_96 (
numbers__quantity_ordered_ VARCHAR,
make__model VARCHAR,
fuel_propulsion VARCHAR,
year VARCHAR
)
|
SELECT numbers__quantity_ordered_ FROM table_name_96 WHERE fuel_propulsion = "cng" AND year < 2008 AND make__model = "nabi 40-lfw"
|
[
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4314,
41,
2302,
834,
834,
13158,
485,
834,
9397,
15,
26,
834,
584,
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28027,
6,
143,
834,
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21770,
584,
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6,
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215,
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61,
43,
3,
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20942,
749,
20567,
13,
3,
75,
1725,
6,
11,
3,
9,
2929,
2755,
145,
2628,
6,
11,
3,
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1796,
87,
5154,
13,
3,
29,
15975,
1283,
18,
40,
89,
210,
58,
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] |
[
3,
23143,
14196,
2302,
834,
834,
13158,
485,
834,
9397,
15,
26,
834,
21680,
953,
834,
4350,
834,
4314,
549,
17444,
427,
2914,
834,
1409,
20567,
3274,
96,
75,
1725,
121,
3430,
215,
3,
2,
2628,
3430,
143,
834,
834,
21770,
3274,
96,
29,
15975,
1283,
18,
40,
89,
210,
121,
1,
-100,
-100,
-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
Which Place has a To par of 8?
|
CREATE TABLE table_name_19 (
place VARCHAR,
to_par VARCHAR
)
|
SELECT place FROM table_name_19 WHERE to_par = "–8"
|
[
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
2294,
41,
286,
584,
4280,
28027,
6,
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3,
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[
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how much does it cost to get a lab oxyhemoglobin test?
|
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 diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime 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 microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime 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 DISTINCT cost.cost FROM cost WHERE cost.eventtype = 'lab' AND cost.eventid IN (SELECT lab.labid FROM lab WHERE lab.labname = 'oxyhemoglobin')
|
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Which Partner with the surface of Clay ended up as a runner-up with a score of 1 6, 6 4, [10 12]?
|
CREATE TABLE table_10332 (
"Outcome" text,
"Date" text,
"Surface" text,
"Partner" text,
"Opponents" text,
"Score" text
)
|
SELECT "Partner" FROM table_10332 WHERE "Surface" = 'clay' AND "Outcome" = 'runner-up' AND "Score" = '1–6, 6–4, [10–12]'
|
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find the drug type of potassium phosphate.
|
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 prescriptions.drug_type FROM prescriptions WHERE prescriptions.drug = "Potassium Phosphate"
|
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Who was the winner when the runner-up was Guangzhou Apollo?
|
CREATE TABLE table_62705 (
"Season" real,
"Winners" text,
"Runners-up" text,
"Third-place" text,
"fourth-placed" text,
"Number of clubs" real
)
|
SELECT "Winners" FROM table_62705 WHERE "Runners-up" = 'guangzhou apollo'
|
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Which Laps have a Grid larger than 8, and a Rider of anthony west?
|
CREATE TABLE table_name_60 (laps INTEGER, grid VARCHAR, rider VARCHAR)
|
SELECT MAX(laps) FROM table_name_60 WHERE grid > 8 AND rider = "anthony west"
|
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What is the smallest crowd size for away team Fitzroy?
|
CREATE TABLE table_name_40 (crowd INTEGER, away_team VARCHAR)
|
SELECT MIN(crowd) FROM table_name_40 WHERE away_team = "fitzroy"
|
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Name the james e. holmes for duane hensley
|
CREATE TABLE table_25330991_3 (
james_e_holmes VARCHAR,
western_rockingham_middle_school VARCHAR
)
|
SELECT james_e_holmes FROM table_25330991_3 WHERE western_rockingham_middle_school = "Duane Hensley"
|
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Team Rusport has the best of 59.654 and what qual 1?
|
CREATE TABLE table_43518 (
"Name" text,
"Team" text,
"Qual 1" text,
"Qual 2" text,
"Best" text
)
|
SELECT "Qual 1" FROM table_43518 WHERE "Team" = 'rusport' AND "Best" = '59.654'
|
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What is the lowest population density of Strakonice (st) with more than 112 settlements?
|
CREATE TABLE table_76336 (
"District" text,
"Population" real,
"Area" real,
"Pop. Dens." real,
"No.of Settlements" real
)
|
SELECT MIN("Pop. Dens.") FROM table_76336 WHERE "District" = 'strakonice (st)' AND "No.of Settlements" > '112'
|
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What is the minimum number of members Africa had in 2001?
|
CREATE TABLE table_22854 (
"Year" real,
"Worldwide" real,
"Africa" real,
"America" real,
"Asia" real,
"Australia" real,
"Europe" real
)
|
SELECT MIN("Africa") FROM table_22854 WHERE "Year" = '2001'
|
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What type of structure is there at the American Tower Christmas?
|
CREATE TABLE table_name_17 (structure_type VARCHAR, name VARCHAR)
|
SELECT structure_type FROM table_name_17 WHERE name = "american tower christmas"
|
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What is the lowest wins with less than 2 Byes?
|
CREATE TABLE table_39952 (
"Wins" real,
"Byes" real,
"Losses" real,
"Draws" real,
"Against" real
)
|
SELECT MIN("Wins") FROM table_39952 WHERE "Byes" < '2'
|
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adam lyth has the lowest strike rate listed , who has the next lowest strike rate listed ?
|
CREATE TABLE table_203_226 (
id number,
"player" text,
"matches" number,
"innings" number,
"not out" number,
"runs" number,
"high score" number,
"average" number,
"strike rate" number,
"100s" number,
"50s" number
)
|
SELECT "player" FROM table_203_226 WHERE "player" <> 'adam lyth' ORDER BY "strike rate" LIMIT 1
|
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What is the total revenue of each manufacturer.
|
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255),
Price DECIMAL,
Manufacturer INTEGER
)
CREATE TABLE Manufacturers (
Code INTEGER,
Name VARCHAR(255),
Headquarter VARCHAR(255),
Founder VARCHAR(255),
Revenue REAL
)
|
SELECT Name, SUM(Revenue) FROM Manufacturers GROUP BY Name
|
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What was the manner of depature when the date of appointment was 27 December 2007?
|
CREATE TABLE table_name_52 (
manner_of_departure VARCHAR,
date_of_appointment VARCHAR
)
|
SELECT manner_of_departure FROM table_name_52 WHERE date_of_appointment = "27 december 2007"
|
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uncontrolled hypertension: disease systolic blood pressure ( sbp ) > 150 , diastolic blood pressure ( dbp ) > 110
|
CREATE TABLE table_dev_44 (
"id" int,
"gender" string,
"arterial_ph" float,
"systolic_blood_pressure_sbp" int,
"serum_bicarbonate" int,
"anion_gap" int,
"diabetic" string,
"diabetic_ketoacidosis" bool,
"blood_glucose" int,
"diastolic_blood_pressure_dbp" int,
"positive_serum_ketones" bool,
"serum_osmolarity" int,
"serum_creatinine" float,
"metformin" bool,
"hyperosmolar_hyperglycemic_state" bool,
"hypertension" bool,
"age" float,
"NOUSE" float
)
|
SELECT * FROM table_dev_44 WHERE hypertension = 1 OR systolic_blood_pressure_sbp > 150 OR diastolic_blood_pressure_dbp > 110
|
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Look for the name and code of drug that Betty Campbell is prescribed.
|
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
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|
SELECT prescriptions.drug, prescriptions.formulary_drug_cd FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.name = "Betty Campbell"
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What is the Nominee from the Category that is best costume design?
|
CREATE TABLE table_39958 (
"Year" real,
"Award" text,
"Category" text,
"Nominee" text,
"Result" text
)
|
SELECT "Nominee" FROM table_39958 WHERE "Category" = 'best costume design'
|
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What are the names of all the clubs ordered in descending alphabetical order?
|
CREATE TABLE club (
club_id number,
name text,
region text,
start_year text
)
CREATE TABLE competition_result (
competition_id number,
club_id_1 number,
club_id_2 number,
score text
)
CREATE TABLE player (
player_id number,
name text,
position text,
club_id number,
apps number,
tries number,
goals text,
points number
)
CREATE TABLE club_rank (
rank number,
club_id number,
gold number,
silver number,
bronze number,
total number
)
CREATE TABLE competition (
competition_id number,
year number,
competition_type text,
country text
)
|
SELECT name FROM club ORDER BY name DESC
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Name the city for los angeles stadium
|
CREATE TABLE table_28281704_1 (city VARCHAR, stadium VARCHAR)
|
SELECT city FROM table_28281704_1 WHERE stadium = "Los Angeles stadium"
|
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which province has the most area ?
|
CREATE TABLE table_203_152 (
id number,
"province" text,
"capital" text,
"area (km2)" number,
"population" number,
"density" number
)
|
SELECT "province" FROM table_203_152 ORDER BY "area (km2)" DESC LIMIT 1
|
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what is the only indoor championship ?
|
CREATE TABLE table_204_520 (
id number,
"outcome" text,
"no." number,
"date" number,
"championship" text,
"surface" text,
"opponent" text,
"score" text
)
|
SELECT "championship" FROM table_204_520 WHERE "surface" = 'indoor'
|
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which EMNLP 2010 papers have been cited the most ?
|
CREATE TABLE paperfield (
fieldid int,
paperid int
)
CREATE TABLE paperdataset (
paperid int,
datasetid int
)
CREATE TABLE field (
fieldid int
)
CREATE TABLE paper (
paperid int,
title varchar,
venueid int,
year int,
numciting int,
numcitedby int,
journalid int
)
CREATE TABLE cite (
citingpaperid int,
citedpaperid int
)
CREATE TABLE dataset (
datasetid int,
datasetname varchar
)
CREATE TABLE paperkeyphrase (
paperid int,
keyphraseid int
)
CREATE TABLE journal (
journalid int,
journalname varchar
)
CREATE TABLE writes (
paperid int,
authorid int
)
CREATE TABLE venue (
venueid int,
venuename varchar
)
CREATE TABLE keyphrase (
keyphraseid int,
keyphrasename varchar
)
CREATE TABLE author (
authorid int,
authorname varchar
)
|
SELECT DISTINCT cite.citedpaperid, COUNT(cite.citedpaperid) FROM cite, paper, venue WHERE paper.paperid = cite.citedpaperid AND paper.year = 2010 AND venue.venueid = paper.venueid AND venue.venuename = 'EMNLP' GROUP BY cite.citedpaperid ORDER BY COUNT(cite.citedpaperid) DESC
|
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how many patients whose lab test category is chemistry?
|
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 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 lab ON demographic.hadm_id = lab.hadm_id WHERE lab."CATEGORY" = "Chemistry"
|
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What is the year the institution Tougaloo College joined?
|
CREATE TABLE table_10577579_2 (joined VARCHAR, institution VARCHAR)
|
SELECT joined FROM table_10577579_2 WHERE institution = "Tougaloo College"
|
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Which title aired on 18 dec 2006- 10 feb 2007?
|
CREATE TABLE table_11710 (
"Airing date" text,
"English Title (Chinese title)" text,
"Number of episodes" real,
"Theme song (T) Sub-theme song (ST)" text,
"Genre" text,
"Official website" text
)
|
SELECT "English Title (Chinese title)" FROM table_11710 WHERE "Airing date" = '18 dec 2006- 10 feb 2007'
|
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How many opponents were in North Carolina state game?
|
CREATE TABLE table_20928649_1 (opponents VARCHAR, opponent VARCHAR)
|
SELECT COUNT(opponents) FROM table_20928649_1 WHERE opponent = "North Carolina State"
|
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Visualize a scatter chart about the correlation between School_ID and ACC_Percent , and group by attribute Team_Name.
|
CREATE TABLE university (
School_ID int,
School text,
Location text,
Founded real,
Affiliation text,
Enrollment real,
Nickname text,
Primary_conference text
)
CREATE TABLE basketball_match (
Team_ID int,
School_ID int,
Team_Name text,
ACC_Regular_Season text,
ACC_Percent text,
ACC_Home text,
ACC_Road text,
All_Games text,
All_Games_Percent int,
All_Home text,
All_Road text,
All_Neutral text
)
|
SELECT School_ID, ACC_Percent FROM basketball_match GROUP BY Team_Name
|
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What ethnic group had the largest population in in 2002?
|
CREATE TABLE table_27896 (
"Settlement" text,
"Cyrillic Name" text,
"Type" text,
"Population (2011)" real,
"Largest ethnic group (2002)" text,
"Dominant religion (2002)" text
)
|
SELECT "Largest ethnic group (2002)" FROM table_27896 WHERE "Cyrillic Name" = 'Сурдук'
|
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What is the average grid number for paul cruickshank racing with less than 27 laps?
|
CREATE TABLE table_32491 (
"Name" text,
"Team" text,
"Laps" real,
"Time/Retired" text,
"Grid" real
)
|
SELECT AVG("Grid") FROM table_32491 WHERE "Team" = 'paul cruickshank racing' AND "Laps" < '27'
|
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What are the titles of episodes directed by whitney ransick?
|
CREATE TABLE table_4076 (
"No." real,
"#" real,
"Title" text,
"Directed by" text,
"Written by" text,
"U.S. air date" text,
"Production code" text,
"U.S. viewers (million)" text
)
|
SELECT "Title" FROM table_4076 WHERE "Directed by" = 'Whitney Ransick'
|
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Show project ids and the number of documents in each project in a scatter chart
|
CREATE TABLE Accounts (
Account_ID INTEGER,
Statement_ID INTEGER,
Account_Details VARCHAR(255)
)
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15),
Document_Type_Name VARCHAR(255),
Document_Type_Description VARCHAR(255)
)
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15),
Budget_Type_Description VARCHAR(255)
)
CREATE TABLE Projects (
Project_ID INTEGER,
Project_Details VARCHAR(255)
)
CREATE TABLE Documents (
Document_ID INTEGER,
Document_Type_Code CHAR(15),
Project_ID INTEGER,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255)
)
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER,
Budget_Type_Code CHAR(15),
Document_Details VARCHAR(255)
)
CREATE TABLE Statements (
Statement_ID INTEGER,
Statement_Details VARCHAR(255)
)
|
SELECT Project_ID, COUNT(*) FROM Documents GROUP BY Project_ID
|
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What school did the player that has been in Toronto from 2012-present come from?
|
CREATE TABLE table_10015132_1 (
school_club_team VARCHAR,
years_in_toronto VARCHAR
)
|
SELECT school_club_team FROM table_10015132_1 WHERE years_in_toronto = "2012-present"
|
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For those products with a price between 60 and 120, show me about the correlation between code and manufacturer in a scatter chart.
|
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 Code, Manufacturer FROM Products WHERE Price BETWEEN 60 AND 120
|
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What was the term of Bruce Biers Kendall whose hometown is Anchorage?
|
CREATE TABLE table_name_6 (
term VARCHAR,
hometown VARCHAR,
name VARCHAR
)
|
SELECT term FROM table_name_6 WHERE hometown = "anchorage" AND name = "bruce biers kendall"
|
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When did Scott Hoch (2) win?
|
CREATE TABLE table_39861 (
"Date" text,
"Tournament" text,
"Location" text,
"Purse( $ )" real,
"Winner" text,
"Score" text,
"1st Prize( $ )" text
)
|
SELECT "Date" FROM table_39861 WHERE "Winner" = 'scott hoch (2)'
|
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What was the margin of victory over Brad Faxon?
|
CREATE TABLE table_38866 (
"Date" text,
"Tournament" text,
"Winning score" text,
"Margin of victory" text,
"Runner(s)-up" text
)
|
SELECT "Margin of victory" FROM table_38866 WHERE "Runner(s)-up" = 'brad faxon'
|
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What school in 72 Scott county has an enrollment more than 473 with an AAA IHSAA Class?
|
CREATE TABLE table_65720 (
"School" text,
"Location" text,
"Mascot" text,
"Enrollment" real,
"IHSAA Class" text,
"# / County" text
)
|
SELECT "School" FROM table_65720 WHERE "Enrollment" > '473' AND "IHSAA Class" = 'aaa' AND "# / County" = '72 scott'
|
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A bar chart showing the number of films each cinema has, order Y-axis from low to high order.
|
CREATE TABLE schedule (
Cinema_ID int,
Film_ID int,
Date text,
Show_times_per_day int,
Price float
)
CREATE TABLE film (
Film_ID int,
Rank_in_series int,
Number_in_season int,
Title text,
Directed_by text,
Original_air_date text,
Production_code text
)
CREATE TABLE cinema (
Cinema_ID int,
Name text,
Openning_year int,
Capacity int,
Location text
)
|
SELECT Name, COUNT(Name) FROM schedule AS T1 JOIN film AS T2 ON T1.Film_ID = T2.Film_ID JOIN cinema AS T3 ON T1.Cinema_ID = T3.Cinema_ID GROUP BY Name ORDER BY COUNT(Name)
|
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What is Race 2, when Driver is 'Paul Radisich'?
|
CREATE TABLE table_8330 (
"Driver" text,
"Team" text,
"Race 1" text,
"Race 2" text,
"Race 3" text
)
|
SELECT "Race 2" FROM table_8330 WHERE "Driver" = 'paul radisich'
|
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