NATURAL_LANG
stringlengths 0
446
| SCHEMA
stringlengths 27
2.21k
| SQL
stringlengths 18
453
| input_ids
list | attention_mask
list | labels
list |
|---|---|---|---|---|---|
specify the gender and insurance of patient jesse ran
|
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
|
SELECT demographic.gender, demographic.insurance FROM demographic WHERE demographic.name = "Jesse Ran"
|
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count the number of patients with lab test item id 50995 who have been hospitalized for more than 29 days.
|
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.days_stay > "29" AND lab.itemid = "50995"
|
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What was the original air date of the episode directed by frederick e. o. toye?
|
CREATE TABLE table_25923164_1 (
original_air_date VARCHAR,
directed_by VARCHAR
)
|
SELECT original_air_date FROM table_25923164_1 WHERE directed_by = "Frederick E. O. Toye"
|
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Which year were both the Premier Division Ewyas Harold and Division Three Stoke Prior champions?
|
CREATE TABLE table_60250 (
"Season" text,
"Premier Division" text,
"Division One" text,
"Division Two" text,
"Division Three" text
)
|
SELECT "Season" FROM table_60250 WHERE "Premier Division" = 'ewyas harold' AND "Division Three" = 'stoke prior'
|
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What's the nationality of Livio Berruti?
|
CREATE TABLE table_name_53 (
nationality VARCHAR,
athlete VARCHAR
)
|
SELECT nationality FROM table_name_53 WHERE athlete = "livio berruti"
|
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Who was the centerfold model when the issue's pictorial was amanda beard, reby sky , girls of montauk ?
|
CREATE TABLE table_72701 (
"Date" text,
"Cover model" text,
"Centerfold model" text,
"Interview subject" text,
"20 Questions" text,
"Pictorials" text
)
|
SELECT "Centerfold model" FROM table_72701 WHERE "Pictorials" = 'Amanda Beard, Reby Sky , Girls of Montauk'
|
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Who ran in the race for the seat of incumbent Carl W. Rich?
|
CREATE TABLE table_1341865_37 (candidates VARCHAR, incumbent VARCHAR)
|
SELECT candidates FROM table_1341865_37 WHERE incumbent = "Carl W. Rich"
|
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what's the original air date where written by is iain morris & damon beesley
|
CREATE TABLE table_72196 (
"No. in series" real,
"No. in season" real,
"Title" text,
"Directed by" text,
"Written by" text,
"Original air date" text
)
|
SELECT "Original air date" FROM table_72196 WHERE "Written by" = 'Iain Morris & Damon Beesley'
|
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What was the earliest date an institution was founded that joined in 1977?
|
CREATE TABLE table_261913_1 (
founded INTEGER,
joined VARCHAR
)
|
SELECT MIN(founded) FROM table_261913_1 WHERE joined = "1977"
|
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Who is the voice actor (harmony gold ova dub) of the character with a voice actor (adv TV/sentai ova dub) Kim Prause?
|
CREATE TABLE table_name_10 (
voice_actor__harmony_gold_ova_dub_ VARCHAR,
voice_actor__adv_tv_sentai_ova_dub_ VARCHAR
)
|
SELECT voice_actor__harmony_gold_ova_dub_ FROM table_name_10 WHERE voice_actor__adv_tv_sentai_ova_dub_ = "kim prause"
|
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provide the number of patients whose days of hospital stay is greater than 10 and lab test fluid is ascites?
|
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 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
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.days_stay > "10" AND lab.fluid = "Ascites"
|
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Name the disposition for date built is march 1909
|
CREATE TABLE table_1748444_1 (
disposition VARCHAR,
date_built VARCHAR
)
|
SELECT disposition FROM table_1748444_1 WHERE date_built = "March 1909"
|
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Scatterplot of card_number vs card id by card_type_code
|
CREATE TABLE Customers (
customer_id INTEGER,
customer_first_name VARCHAR(20),
customer_last_name VARCHAR(20),
customer_address VARCHAR(255),
customer_phone VARCHAR(255),
customer_email VARCHAR(255),
other_customer_details VARCHAR(255)
)
CREATE TABLE Customers_Cards (
card_id INTEGER,
customer_id INTEGER,
card_type_code VARCHAR(15),
card_number VARCHAR(80),
date_valid_from DATETIME,
date_valid_to DATETIME,
other_card_details VARCHAR(255)
)
CREATE TABLE Financial_Transactions (
transaction_id INTEGER,
previous_transaction_id INTEGER,
account_id INTEGER,
card_id INTEGER,
transaction_type VARCHAR(15),
transaction_date DATETIME,
transaction_amount DOUBLE,
transaction_comment VARCHAR(255),
other_transaction_details VARCHAR(255)
)
CREATE TABLE Accounts (
account_id INTEGER,
customer_id INTEGER,
account_name VARCHAR(50),
other_account_details VARCHAR(255)
)
|
SELECT card_id, card_number FROM Customers_Cards GROUP BY card_type_code
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What date was the game held at UMBC Field?
|
CREATE TABLE table_47863 (
"Date" text,
"Time" text,
"Opponent" text,
"Site" text,
"City" text
)
|
SELECT "Date" FROM table_47863 WHERE "Site" = 'umbc field'
|
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What is Place, when Score is less than 70?
|
CREATE TABLE table_name_44 (
place VARCHAR,
score INTEGER
)
|
SELECT place FROM table_name_44 WHERE score < 70
|
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Show all role codes and the number of employees in each role Show bar chart, and could you show by the bars in desc please?
|
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 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 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)
)
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 Document_Locations (
Document_ID INTEGER,
Location_Code CHAR(15),
Date_in_Location_From DATETIME,
Date_in_Locaton_To DATETIME
)
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
)
|
SELECT Role_Code, COUNT(*) FROM Employees GROUP BY Role_Code ORDER BY Role_Code DESC
|
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How many bronzes associated with over 0 total medals, 3 golds, and over 6 games?
|
CREATE TABLE table_75034 (
"Games" real,
"First" real,
"Last" real,
"Gold" real,
"Bronze" real,
"Total" real,
"Best finish (first/last)" text
)
|
SELECT AVG("Bronze") FROM table_75034 WHERE "Total" > '0' AND "Gold" = '3' AND "Games" > '6'
|
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What city was completed in 1910-1978?
|
CREATE TABLE table_53460 (
"Area in m\u00b2" text,
"Completion" text,
"City" text,
"Country" text,
"Denomination" text
)
|
SELECT "City" FROM table_53460 WHERE "Completion" = '1910-1978'
|
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What Player has a Place of t10?
|
CREATE TABLE table_name_2 (player VARCHAR, place VARCHAR)
|
SELECT player FROM table_name_2 WHERE place = "t10"
|
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List the total number of defensive points for radek t p nek?
|
CREATE TABLE table_3056 (
"Rank" real,
"Player" text,
"Points" real,
"Points defending" real,
"Points won" real,
"New points" real,
"Withdrew due to" text
)
|
SELECT MIN("Points defending") FROM table_3056 WHERE "Player" = 'Radek Štěpánek'
|
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[
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List the duration, file size and format of songs whose genre is pop, ordered by title?
|
CREATE TABLE song (f_id VARCHAR, genre_is VARCHAR, song_name VARCHAR); CREATE TABLE files (duration VARCHAR, file_size VARCHAR, formats VARCHAR, f_id VARCHAR)
|
SELECT T1.duration, T1.file_size, T1.formats FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id WHERE T2.genre_is = "pop" ORDER BY T2.song_name
|
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[
3,
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] |
Which team was the opponent on December 30?
|
CREATE TABLE table_40741 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High assists" text,
"Location Attendance" text,
"Record" text
)
|
SELECT "Team" FROM table_40741 WHERE "Date" = 'december 30'
|
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what is the properties of potassium when lithium is h a l o g e n s and sodium is bromine?
|
CREATE TABLE table_name_76 (
potassium VARCHAR,
lithium VARCHAR,
sodium VARCHAR
)
|
SELECT potassium FROM table_name_76 WHERE lithium = "h a l o g e n s" AND sodium = "bromine"
|
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What percentage of Azad Kashmir is Hindu?
|
CREATE TABLE table_name_74 (
_percentage_hindu VARCHAR,
area VARCHAR
)
|
SELECT _percentage_hindu FROM table_name_74 WHERE area = "azad kashmir"
|
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What was the score of the game with away team chelsea on 29 january 1983?
|
CREATE TABLE table_59971 (
"Tie no" text,
"Home team" text,
"Score" text,
"Away team" text,
"Date" text
)
|
SELECT "Score" FROM table_59971 WHERE "Date" = '29 january 1983' AND "Away team" = 'chelsea'
|
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What was the production code of the episode ranked 28?
|
CREATE TABLE table_26200084_1 (production_code VARCHAR, rank__week_ VARCHAR)
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SELECT production_code FROM table_26200084_1 WHERE rank__week_ = "28"
|
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Who is the owner of the branding gx94?
|
CREATE TABLE table_31718 (
"Frequency" text,
"Call sign" text,
"Branding" text,
"Format" text,
"Owner" text
)
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SELECT "Owner" FROM table_31718 WHERE "Branding" = 'gx94'
|
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What numbered game did they play on april 5?
|
CREATE TABLE table_29919 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location Attendance" text,
"Record" text
)
|
SELECT MAX("Game") FROM table_29919 WHERE "Date" = 'April 5'
|
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What type are State Assemblyman
|
CREATE TABLE table_20478 (
"Office" text,
"Type" text,
"Location" text,
"Elected" real,
"Term began" text,
"Term ended" text
)
|
SELECT "Type" FROM table_20478 WHERE "Office" = 'State Assemblyman'
|
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provide the number of patients whose death status is 1 and primary disease is sdh?
|
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
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 WHERE demographic.expire_flag = "1" AND demographic.diagnosis = "SDH"
|
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What was Nick Faldo's score?
|
CREATE TABLE table_name_73 (
score VARCHAR,
player VARCHAR
)
|
SELECT score FROM table_name_73 WHERE player = "nick faldo"
|
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Which Team has a Date of appointment on sep. 20, 2008?
|
CREATE TABLE table_name_14 (team VARCHAR, date_of_appointment VARCHAR)
|
SELECT team FROM table_name_14 WHERE date_of_appointment = "sep. 20, 2008"
|
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Name the most ceiling temperature for very extra high
|
CREATE TABLE table_1538516_1 (maximum_ceiling_temperature VARCHAR, temperature_classification VARCHAR)
|
SELECT maximum_ceiling_temperature FROM table_1538516_1 WHERE temperature_classification = "Very Extra High"
|
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] |
count the number of patients whose days of hospital stay is greater than 13 and lab test name is creatinine?
|
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 lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.days_stay > "13" AND lab.label = "Creatinine"
|
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What was the score of the game with Nathalie Tauziat as a partner?
|
CREATE TABLE table_name_7 (score VARCHAR, partnering VARCHAR)
|
SELECT score FROM table_name_7 WHERE partnering = "nathalie tauziat"
|
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what team comes before hank stein ?
|
CREATE TABLE table_204_93 (
id number,
"round" number,
"pick" number,
"player" text,
"position" text,
"nationality" text,
"team" text,
"college" text
)
|
SELECT "team" FROM table_204_93 WHERE id = (SELECT id FROM table_204_93 WHERE "player" = 'hank stein') - 1
|
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] |
How many League Goals have League Cup Goals smaller than 0?
|
CREATE TABLE table_65893 (
"Name" text,
"Position" text,
"League Apps" text,
"League Goals" real,
"FA Cup Apps" text,
"FA Cup Goals" real,
"League Cup Apps" real,
"League Cup Goals" real,
"Total Apps" text,
"Total Goals" real
)
|
SELECT SUM("League Goals") FROM table_65893 WHERE "League Cup Goals" < '0'
|
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What is every use for number 1?
|
CREATE TABLE table_1977 (
"Number" text,
"Previous Number(s)" real,
"Previous Class" text,
"Converted" real,
"Use" text,
"Withdrawn" real,
"Disposal" text
)
|
SELECT "Use" FROM table_1977 WHERE "Number" = '1'
|
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What is the smallest preliminary when swimsuit is less than 8.822, interview is more than 8.744 and gown is more than 9.333?
|
CREATE TABLE table_name_50 (preliminary INTEGER, evening_gown VARCHAR, swimsuit VARCHAR, interview VARCHAR)
|
SELECT MIN(preliminary) FROM table_name_50 WHERE swimsuit < 8.822 AND interview > 8.744 AND evening_gown > 9.333
|
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how many patients admitted to phys referral/normal deli were treated with simv40?
|
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_location = "PHYS REFERRAL/NORMAL DELI" AND prescriptions.formulary_drug_cd = "SIMV40"
|
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What is the record for Brussels translations?
|
CREATE TABLE table_name_84 (
recorded VARCHAR,
translation VARCHAR
)
|
SELECT recorded FROM table_name_84 WHERE translation = "brussels"
|
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What is the railway number of t 4 ii class?
|
CREATE TABLE table_name_68 (
railway_number_s_ VARCHAR,
class VARCHAR
)
|
SELECT railway_number_s_ FROM table_name_68 WHERE class = "t 4 ii"
|
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If second leg is Newell's Old Boys, what name is first leg?
|
CREATE TABLE table_22032 (
"Home (1st leg)" text,
"Home (2nd leg)" text,
"1st Leg" text,
"2nd leg" text,
"Aggregate" text
)
|
SELECT "1st Leg" FROM table_22032 WHERE "Home (2nd leg)" = 'Newell''s Old Boys'
|
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What's the rank of Turkey (TUR) with a total more than 2?
|
CREATE TABLE table_name_14 (rank VARCHAR, nation VARCHAR, total VARCHAR)
|
SELECT COUNT(rank) FROM table_name_14 WHERE nation = "turkey (tur)" AND total > 2
|
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What are the number of the completion dates of all the tests that have result 'Fail'?, sort bars in desc order.
|
CREATE TABLE Course_Authors_and_Tutors (
author_id INTEGER,
author_tutor_ATB VARCHAR(3),
login_name VARCHAR(40),
password VARCHAR(40),
personal_name VARCHAR(80),
middle_name VARCHAR(80),
family_name VARCHAR(80),
gender_mf VARCHAR(1),
address_line_1 VARCHAR(80)
)
CREATE TABLE Students (
student_id INTEGER,
date_of_registration DATETIME,
date_of_latest_logon DATETIME,
login_name VARCHAR(40),
password VARCHAR(10),
personal_name VARCHAR(40),
middle_name VARCHAR(40),
family_name VARCHAR(40)
)
CREATE TABLE Student_Course_Enrolment (
registration_id INTEGER,
student_id INTEGER,
course_id INTEGER,
date_of_enrolment DATETIME,
date_of_completion DATETIME
)
CREATE TABLE Subjects (
subject_id INTEGER,
subject_name VARCHAR(120)
)
CREATE TABLE Student_Tests_Taken (
registration_id INTEGER,
date_test_taken DATETIME,
test_result VARCHAR(255)
)
CREATE TABLE Courses (
course_id INTEGER,
author_id INTEGER,
subject_id INTEGER,
course_name VARCHAR(120),
course_description VARCHAR(255)
)
|
SELECT date_of_completion, COUNT(date_of_completion) FROM Student_Course_Enrolment AS T1 JOIN Student_Tests_Taken AS T2 ON T1.registration_id = T2.registration_id WHERE T2.test_result = "Fail" GROUP BY date_of_completion ORDER BY date_of_completion DESC
|
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Who was the opponent with the record of 15-21-6?
|
CREATE TABLE table_76320 (
"Game" real,
"January" real,
"Opponent" text,
"Score" text,
"Record" text
)
|
SELECT "Opponent" FROM table_76320 WHERE "Record" = '15-21-6'
|
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What is the Date of the game with a Score of 6 4, 6 2?
|
CREATE TABLE table_78909 (
"Date" text,
"Tournament" text,
"Surface" text,
"Opponent in the final" text,
"Score" text
)
|
SELECT "Date" FROM table_78909 WHERE "Score" = '6–4, 6–2'
|
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What is the maximum points received when Peeter V hl gave a 9?
|
CREATE TABLE table_29261215_4 (
points INTEGER,
peeter_vähi VARCHAR
)
|
SELECT MIN(points) FROM table_29261215_4 WHERE peeter_vähi = 9
|
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Which score has a Home Team of saskatoon accelerators?
|
CREATE TABLE table_name_61 (
score VARCHAR,
home_team VARCHAR
)
|
SELECT score FROM table_name_61 WHERE home_team = "saskatoon accelerators"
|
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What was the winning score of the Greater Vancouver Open tournament?
|
CREATE TABLE table_name_50 (winning_score VARCHAR, tournament VARCHAR)
|
SELECT winning_score FROM table_name_50 WHERE tournament = "greater vancouver open"
|
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What was the score for a goal of 6?
|
CREATE TABLE table_name_57 (
score VARCHAR,
goal VARCHAR
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SELECT score FROM table_name_57 WHERE goal = 6
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In what Election year was Adalberto Mosaner the Mayor with less than 16,170 Inhabitants?
|
CREATE TABLE table_50465 (
"Municipality" text,
"Inhabitants" real,
"Mayor" text,
"Party" text,
"Election" real
)
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SELECT SUM("Election") FROM table_50465 WHERE "Mayor" = 'adalberto mosaner' AND "Inhabitants" < '16,170'
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count the number of patients whose days of hospital stay is greater than 4 and procedure long title is angioplasty of other non-coronary vessel(s)?
|
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 prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.days_stay > "4" AND procedures.long_title = "Angioplasty of other non-coronary vessel(s)"
|
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When Brett Lancaster won the general classification, who won the team calssification?
|
CREATE TABLE table_25055040_22 (
team_classification VARCHAR,
general_classification VARCHAR
)
|
SELECT team_classification FROM table_25055040_22 WHERE general_classification = "Brett Lancaster"
|
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What position has a pick less than 20?
|
CREATE TABLE table_name_2 (position VARCHAR, pick INTEGER)
|
SELECT position FROM table_name_2 WHERE pick < 20
|
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] |
[
3,
23143,
14196,
1102,
21680,
953,
834,
4350,
834,
357,
549,
17444,
427,
1432,
3,
2,
460,
1,
-100,
-100,
-100,
-100,
-100,
-100,
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-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
Which sum of AVE-No has a Name of albula alps, and a Height (m) larger than 3418?
|
CREATE TABLE table_name_98 (
ave__no INTEGER,
name VARCHAR,
height__m_ VARCHAR
)
|
SELECT SUM(ave__no) FROM table_name_98 WHERE name = "albula alps" AND height__m_ > 3418
|
[
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3916,
41,
3,
9,
162,
834,
834,
29,
32,
3,
21342,
17966,
6,
564,
584,
4280,
28027,
6,
3902,
834,
834,
51,
834,
584,
4280,
28027,
3,
61,
3,
32102,
32103,
32101,
32103,
4073,
4505,
13,
3,
18111,
18,
4168,
65,
3,
9,
5570,
13,
7046,
83,
9,
491,
102,
7,
6,
11,
3,
9,
24231,
41,
51,
61,
2186,
145,
6154,
2606,
58,
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[
3,
23143,
14196,
180,
6122,
599,
9,
162,
834,
834,
29,
32,
61,
21680,
953,
834,
4350,
834,
3916,
549,
17444,
427,
564,
3274,
96,
138,
6724,
9,
491,
102,
7,
121,
3430,
3902,
834,
834,
51,
834,
2490,
6154,
2606,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
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-100,
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-100
] |
A bar chart showing the number of first name for all female students. Their sex is F.
|
CREATE TABLE Has_Allergy (
StuID INTEGER,
Allergy VARCHAR(20)
)
CREATE TABLE Student (
StuID INTEGER,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
CREATE TABLE Allergy_Type (
Allergy VARCHAR(20),
AllergyType VARCHAR(20)
)
|
SELECT Fname, COUNT(Fname) FROM Student WHERE Sex = 'F' GROUP BY Fname
|
[
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
4498,
834,
6838,
49,
122,
63,
41,
3,
13076,
4309,
3,
21342,
17966,
6,
432,
49,
122,
63,
584,
4280,
28027,
599,
1755,
61,
3,
61,
3,
32102,
32103,
32102,
205,
4386,
6048,
332,
17098,
6341,
41,
3,
13076,
4309,
3,
21342,
17966,
6,
301,
23954,
584,
4280,
28027,
599,
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201,
377,
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4280,
28027,
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201,
7526,
3,
21342,
17966,
6,
679,
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584,
4280,
28027,
14296,
6,
9236,
3,
21342,
17966,
6,
17228,
3,
21342,
17966,
6,
690,
834,
4978,
584,
4280,
28027,
17867,
3,
61,
3,
32102,
32103,
32102,
205,
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What driver has under 19 laps and a grid under 10?
|
CREATE TABLE table_name_89 (driver VARCHAR, laps VARCHAR, grid VARCHAR)
|
SELECT driver FROM table_name_89 WHERE laps < 19 AND grid < 10
|
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What actor has onderweg naar morgen, as the soap opera, with aafke couwenberg as the character?
|
CREATE TABLE table_name_47 (
actor VARCHAR,
soap_opera VARCHAR,
character VARCHAR
)
|
SELECT actor FROM table_name_47 WHERE soap_opera = "onderweg naar morgen" AND character = "aafke couwenberg"
|
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What is the score of Tim Herron, who placed t1?
|
CREATE TABLE table_67161 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" text
)
|
SELECT "Score" FROM table_67161 WHERE "Place" = 't1' AND "Player" = 'tim herron'
|
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Which network returns april 3, and a Show of shop 'til you drop?
|
CREATE TABLE table_50874 (
"Show" text,
"Last Aired" real,
"Previous Network" text,
"Retitled as/Same" text,
"New/Returning/Same Network" text,
"Returning" text
)
|
SELECT "New/Returning/Same Network" FROM table_50874 WHERE "Returning" = 'april 3' AND "Show" = 'shop ''til you drop'
|
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Name the most wins for losses more than 2 and points of two with place larger than 7
|
CREATE TABLE table_name_4 (
wins INTEGER,
place VARCHAR,
losses VARCHAR,
points VARCHAR
)
|
SELECT MAX(wins) FROM table_name_4 WHERE losses > "2" AND points = "2" AND place > 7
|
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How much To par has a Country of united states, and a Money ($) of 90?
|
CREATE TABLE table_name_42 (
to_par VARCHAR,
country VARCHAR,
money___$__ VARCHAR
)
|
SELECT COUNT(to_par) FROM table_name_42 WHERE country = "united states" AND money___$__ = 90
|
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what is the number of newborn patients who have po/ng route of drug administration?
|
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_type = "NEWBORN" AND prescriptions.route = "PO/NG"
|
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What are the points 1 for the team with position less than 13 and goal difference of +16?
|
CREATE TABLE table_48006 (
"Position" real,
"Team" text,
"Played" real,
"Drawn" real,
"Lost" real,
"Goals For" real,
"Goals Against" real,
"Goal Difference" text,
"Points 1" text
)
|
SELECT "Points 1" FROM table_48006 WHERE "Position" < '13' AND "Goal Difference" = '+16'
|
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people working on query expansion
|
CREATE TABLE paperkeyphrase (
paperid int,
keyphraseid int
)
CREATE TABLE paperfield (
fieldid int,
paperid int
)
CREATE TABLE venue (
venueid int,
venuename varchar
)
CREATE TABLE journal (
journalid int,
journalname varchar
)
CREATE TABLE cite (
citingpaperid int,
citedpaperid int
)
CREATE TABLE field (
fieldid int
)
CREATE TABLE author (
authorid int,
authorname varchar
)
CREATE TABLE paperdataset (
paperid int,
datasetid int
)
CREATE TABLE keyphrase (
keyphraseid int,
keyphrasename varchar
)
CREATE TABLE paper (
paperid int,
title varchar,
venueid int,
year int,
numciting int,
numcitedby int,
journalid int
)
CREATE TABLE writes (
paperid int,
authorid int
)
CREATE TABLE dataset (
datasetid int,
datasetname varchar
)
|
SELECT DISTINCT author.authorname FROM author, keyphrase, paperkeyphrase, writes WHERE keyphrase.keyphrasename LIKE 'query expansion' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND writes.authorid = author.authorid AND writes.paperid = paperkeyphrase.paperid
|
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What is Tie no, when Home Team is 'Gillingham'?
|
CREATE TABLE table_name_96 (
tie_no VARCHAR,
home_team VARCHAR
)
|
SELECT tie_no FROM table_name_96 WHERE home_team = "gillingham"
|
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Bar chart x axis publication date y axis how many publication date, rank in desc by the X-axis.
|
CREATE TABLE book (
Book_ID int,
Title text,
Issues real,
Writer text
)
CREATE TABLE publication (
Publication_ID int,
Book_ID int,
Publisher text,
Publication_Date text,
Price real
)
|
SELECT Publication_Date, COUNT(Publication_Date) FROM publication GROUP BY Publication_Date ORDER BY Publication_Date DESC
|
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I want the sum of Laps for wolfgang von trips, and a grid larger than 5
|
CREATE TABLE table_name_5 (laps INTEGER, driver VARCHAR, grid VARCHAR)
|
SELECT SUM(laps) FROM table_name_5 WHERE driver = "wolfgang von trips" AND grid > 5
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What are the positions with both players having more than 20 points and less than 10 points.
|
CREATE TABLE player (POSITION VARCHAR, Points INTEGER)
|
SELECT POSITION FROM player WHERE Points > 20 INTERSECT SELECT POSITION FROM player WHERE Points < 10
|
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When was Cardinal-Deacon of S. Giorgio in Velabro elevated?
|
CREATE TABLE table_65558 (
"Elector" text,
"Nationality" text,
"Cardinalatial order and title" text,
"Elevated" text,
"Elevator" text
)
|
SELECT "Elevated" FROM table_65558 WHERE "Cardinalatial order and title" = 'cardinal-deacon of s. giorgio in velabro'
|
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What is Team, when Position is "LHP", and when Pick is "23"?
|
CREATE TABLE table_name_16 (team VARCHAR, position VARCHAR, pick VARCHAR)
|
SELECT team FROM table_name_16 WHERE position = "lhp" AND pick = 23
|
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What league is Sun Source in?
|
CREATE TABLE table_name_6 (league_division VARCHAR, club VARCHAR)
|
SELECT league_division FROM table_name_6 WHERE club = "sun source"
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What year is the death for a birth of 1873 and higher than rank 28?
|
CREATE TABLE table_13032 (
"Rank" real,
"Name" text,
"Country" text,
"Birth" real,
"Death" text
)
|
SELECT "Death" FROM table_13032 WHERE "Birth" = '1873' AND "Rank" > '28'
|
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name a year whose second venue was the same as 2011 .
|
CREATE TABLE table_204_983 (
id number,
"year" number,
"1st venue" text,
"2nd venue" text,
"3rd venue" text,
"4th venue" text,
"5th venue" text,
"6th venue" text
)
|
SELECT "year" FROM table_204_983 WHERE "year" <> 2011 AND "2nd venue" = (SELECT "2nd venue" FROM table_204_983 WHERE "year" = 2011)
|
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not pregnant and willing to take appropriate contraceptive measures if capable of becoming pregnant;
|
CREATE TABLE table_train_206 (
"id" int,
"gender" string,
"pregnancy_or_lactation" bool,
"systolic_blood_pressure_sbp" int,
"hematocrit_hct" float,
"diabetic" string,
"contraception" bool,
"diastolic_blood_pressure_dbp" int,
"serum_creatinine" float,
"NOUSE" float
)
|
SELECT * FROM table_train_206 WHERE pregnancy_or_lactation = 0 AND contraception = 1
|
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What is the score of the hard court Ramat Hasharon tournament?
|
CREATE TABLE table_79660 (
"Date" text,
"Tournament" text,
"Surface" text,
"Opponent in final" text,
"Score" text,
"Prize Money" text
)
|
SELECT "Score" FROM table_79660 WHERE "Surface" = 'hard' AND "Tournament" = 'ramat hasharon'
|
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what is the score when the venue is athens olympic stadium on 30 april 2011?
|
CREATE TABLE table_50532 (
"Year" text,
"Winner" text,
"Runner-up" text,
"Score" text,
"Venue" text
)
|
SELECT "Score" FROM table_50532 WHERE "Venue" = 'athens olympic stadium' AND "Year" = '30 april 2011'
|
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What is the location for the game on October 20 with it's corresponding attendance?
|
CREATE TABLE table_28768469_2 (
location_attendance VARCHAR,
date VARCHAR
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|
SELECT location_attendance FROM table_28768469_2 WHERE date = "October 20"
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What's the Street address with a Name of New York Life Insurance building?
|
CREATE TABLE table_name_74 (
street_address VARCHAR,
name VARCHAR
)
|
SELECT street_address FROM table_name_74 WHERE name = "new york life insurance building"
|
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What was the average attendance at a game when the record was 6-13?
|
CREATE TABLE table_name_71 (attendance INTEGER, record VARCHAR)
|
SELECT AVG(attendance) FROM table_name_71 WHERE record = "6-13"
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How many % same-sex marriages are there for the year 2008?
|
CREATE TABLE table_19614212_1 (_percentage_same_sex_marriages VARCHAR, year VARCHAR)
|
SELECT COUNT(_percentage_same_sex_marriages) FROM table_19614212_1 WHERE year = "2008"
|
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when ghostbusters was released for the nes in 1988 what systems had it previously been released for ?
|
CREATE TABLE table_203_489 (
id number,
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"title" text,
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"publisher" text
)
|
SELECT "system" FROM table_203_489 WHERE id = (SELECT id FROM table_203_489 WHERE "title" = 'ghostbusters' AND "year" = 1988) - 1
|
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What is the capacity for the stadium of kadrioru stadium and a current manager of sergei ratnikov?
|
CREATE TABLE table_name_14 (
capacity INTEGER,
stadium VARCHAR,
current_manager VARCHAR
)
|
SELECT AVG(capacity) FROM table_name_14 WHERE stadium = "kadrioru stadium" AND current_manager = "sergei ratnikov"
|
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Which Game site has a Week larger than 14?
|
CREATE TABLE table_name_44 (
game_site VARCHAR,
week INTEGER
)
|
SELECT game_site FROM table_name_44 WHERE week > 14
|
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Which County has an Opposition of offaly?
|
CREATE TABLE table_name_64 (county VARCHAR, opposition VARCHAR)
|
SELECT county FROM table_name_64 WHERE opposition = "offaly"
|
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Who is the home team who plays at Glenferrie Oval?
|
CREATE TABLE table_name_95 (
home_team VARCHAR,
venue VARCHAR
)
|
SELECT home_team FROM table_name_95 WHERE venue = "glenferrie oval"
|
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give me the number of patients whose marital status is divorced and lab test name is chloride?
|
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.marital_status = "DIVORCED" AND lab.label = "Chloride"
|
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calculate the number of unmarried patients with lab test item id 51250.
|
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.marital_status = "SINGLE" AND lab.itemid = "51250"
|
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What Venue is in Colorado?
|
CREATE TABLE table_name_19 (venue VARCHAR, state VARCHAR)
|
SELECT venue FROM table_name_19 WHERE state = "colorado"
|
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What is the result for first elected in 1944
|
CREATE TABLE table_18465 (
"District" text,
"Incumbent" text,
"Party" text,
"First elected" real,
"Result" text,
"Candidates" text
)
|
SELECT "Result" FROM table_18465 WHERE "First elected" = '1944'
|
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What was the home team's score when Geelong was the away team?
|
CREATE TABLE table_name_1 (home_team VARCHAR, away_team VARCHAR)
|
SELECT home_team AS score FROM table_name_1 WHERE away_team = "geelong"
|
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What is the fewest number of top-25s for events with more than 13 cuts made?
|
CREATE TABLE table_name_31 (
top_25 INTEGER,
cuts_made INTEGER
)
|
SELECT MIN(top_25) FROM table_name_31 WHERE cuts_made > 13
|
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what is minimum age of patients whose marital status is single and primary disease is acidosis?
|
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
|
SELECT MIN(demographic.age) FROM demographic WHERE demographic.marital_status = "SINGLE" AND demographic.diagnosis = "ACIDOSIS"
|
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what was the top place the team achieved ?
|
CREATE TABLE table_204_524 (
id number,
"season" text,
"tier" number,
"division" text,
"place" text
)
|
SELECT "place" FROM table_204_524 ORDER BY "place" LIMIT 1
|
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Which conventional plan has a POS of 13%?
|
CREATE TABLE table_name_55 (
conventional_plans VARCHAR,
pos_plans VARCHAR
)
|
SELECT conventional_plans FROM table_name_55 WHERE pos_plans = "13%"
|
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] |
What is the name of the plan that has a downstream rate of 4,096 kbit?
|
CREATE TABLE table_name_21 (internet_plan VARCHAR, downstream VARCHAR)
|
SELECT internet_plan FROM table_name_21 WHERE downstream = "4,096 kbit"
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What is the FCSL Team when the MLB Team is Toronto Blue Jays, in the 4th round?
|
CREATE TABLE table_name_22 (
fcsl_team VARCHAR,
mlb_team VARCHAR,
round VARCHAR
)
|
SELECT fcsl_team FROM table_name_22 WHERE mlb_team = "toronto blue jays" AND round = "4th"
|
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Who won the game on may 21?
|
CREATE TABLE table_13710464_1 (winning_team VARCHAR, date VARCHAR)
|
SELECT winning_team FROM table_13710464_1 WHERE date = "May 21"
|
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What is the sum of Sylvain Guintoli's laps?
|
CREATE TABLE table_name_8 (
laps INTEGER,
rider VARCHAR
)
|
SELECT SUM(laps) FROM table_name_8 WHERE rider = "sylvain guintoli"
|
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