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 week had kickoff time at 6:00 p.m.?
|
CREATE TABLE table_24786958_2 (week INTEGER, kickoff VARCHAR)
|
SELECT MIN(week) FROM table_24786958_2 WHERE kickoff = "6:00 p.m."
|
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how many games were played before 2008 ?
|
CREATE TABLE table_204_282 (
id number,
"date" text,
"venue" text,
"opponent" text,
"score" text,
"result" text,
"competition" text,
"#" number
)
|
SELECT COUNT(*) FROM table_204_282 WHERE "date" < 2008
|
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what is the number of patients whose primary disease is coronary artery disease\coronary artery bypass graft /sda and year of birth is less than 2071?
|
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
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 WHERE demographic.diagnosis = "CORONARY ARTERY DISEASE\CORONARY ARTERY BYPASS GRAFT /SDA" AND demographic.dob_year < "2071"
|
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What is the margin of victory of the gna/glendale federal classic?
|
CREATE TABLE table_name_8 (margin_of_victory VARCHAR, tournament VARCHAR)
|
SELECT margin_of_victory FROM table_name_8 WHERE tournament = "gna/glendale federal classic"
|
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What is the population as of 11-01-2010 for Bayan County?
|
CREATE TABLE table_name_50 (population__2010_11_01_ VARCHAR, name VARCHAR)
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SELECT population__2010_11_01_ FROM table_name_50 WHERE name = "bayan county"
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provide the number of patients whose drug code is onda4i?
|
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
)
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 prescriptions.formulary_drug_cd = "ONDA4I"
|
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what is the goals for when the club is new england revolution?
|
CREATE TABLE table_1246208_5 (goals_for VARCHAR, club VARCHAR)
|
SELECT goals_for FROM table_1246208_5 WHERE club = "New England Revolution"
|
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For those employees who was hired before 2002-06-21, give me the comparison about the sum of employee_id over the hire_date bin hire_date by weekday.
|
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 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 job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
|
SELECT HIRE_DATE, SUM(EMPLOYEE_ID) FROM employees WHERE HIRE_DATE < '2002-06-21'
|
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What were the scores for matches with irving wright hazel hotchkiss wightman?
|
CREATE TABLE table_2127933_3 (
score VARCHAR,
opponents VARCHAR
)
|
SELECT score FROM table_2127933_3 WHERE opponents = "Irving Wright Hazel Hotchkiss Wightman"
|
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What school is the team from that has the colors blue and gold?
|
CREATE TABLE table_name_29 (
school VARCHAR,
colors VARCHAR
)
|
SELECT school FROM table_name_29 WHERE colors = "blue and gold"
|
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Tell me the director nominated for best actor in a leading role
|
CREATE TABLE table_31809 (
"Nomination" text,
"Actor's Name" text,
"Film Name" text,
"Director" text,
"Country" text
)
|
SELECT "Director" FROM table_31809 WHERE "Nomination" = 'best actor in a leading role'
|
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WHAT TRANSFER FEE HAS A TYPE OF TRANSFER FOR DOS SANTOS?
|
CREATE TABLE table_59700 (
"Nat." text,
"Name" text,
"Moving to" text,
"Type" text,
"Transfer window" text,
"Transfer fee" text,
"Source" text
)
|
SELECT "Transfer fee" FROM table_59700 WHERE "Type" = 'transfer' AND "Name" = 'dos santos'
|
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What school/club did gerald wilkins attend?
|
CREATE TABLE table_name_24 (
school_club_team VARCHAR,
player VARCHAR
)
|
SELECT school_club_team FROM table_name_24 WHERE player = "gerald wilkins"
|
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indian american entertainer mauli dave appeared on television as the host of rock n roll family during the spring of 2008 ; what was the name of the television show in which she appeared the previous year as a singing contestant ?
|
CREATE TABLE table_203_543 (
id number,
"year" text,
"show" text,
"role" text,
"channel" text,
"extra" text
)
|
SELECT "show" FROM table_203_543 WHERE "role" = 'singing contestant'
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Does it have something interesting about the manager id and the location id?
|
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
|
SELECT T1.MANAGER_ID, T2.LOCATION_ID FROM employees AS T1 JOIN departments AS T2 ON T1.DEPARTMENT_ID = T2.DEPARTMENT_ID WHERE T1.EMPLOYEE_ID = T2.MANAGER_ID
|
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What is the highest series number with 9.17 million US viewers?
|
CREATE TABLE table_27255755_1 (
no_in_series INTEGER,
us_viewers__millions_ VARCHAR
)
|
SELECT MAX(no_in_series) FROM table_27255755_1 WHERE us_viewers__millions_ = "9.17"
|
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What is the gross in the United Kingdom?
|
CREATE TABLE table_name_33 (gross VARCHAR, territory VARCHAR)
|
SELECT gross FROM table_name_33 WHERE territory = "united kingdom"
|
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what is the zip code of boonville
|
CREATE TABLE table_name_39 (
zip_code_prefix_es_ VARCHAR,
county_seat VARCHAR
)
|
SELECT zip_code_prefix_es_ FROM table_name_39 WHERE county_seat = "boonville"
|
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What years were the Iowa State school/club team have a jazz club?
|
CREATE TABLE table_16851 (
"Player" text,
"No." real,
"Nationality" text,
"Position" text,
"Years for Jazz" text,
"School/Club Team" text
)
|
SELECT "Years for Jazz" FROM table_16851 WHERE "School/Club Team" = 'Iowa State'
|
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What date was part number rk80533pz933256 released?
|
CREATE TABLE table_name_89 (
release_date VARCHAR,
part_number_s_ VARCHAR
)
|
SELECT release_date FROM table_name_89 WHERE part_number_s_ = "rk80533pz933256"
|
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When james seaton is the incumbent what is the reason?
|
CREATE TABLE table_30839 (
"By-election" real,
"Electorate" text,
"Date" text,
"Incumbent" text,
"Reason" text,
"Winner" text
)
|
SELECT "Reason" FROM table_30839 WHERE "Incumbent" = 'James Seaton'
|
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What is the number of successes for rockets that have more than 3 launches, were based in Russia, are type soyuz and a rocket type of soyuz-u?
|
CREATE TABLE table_name_92 (
successes VARCHAR,
rocket VARCHAR,
type VARCHAR,
launches VARCHAR,
country VARCHAR
)
|
SELECT COUNT(successes) FROM table_name_92 WHERE launches > 3 AND country = "russia" AND type = "soyuz" AND rocket = "soyuz-u"
|
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Which Grid has Laps smaller than 24, and a Time of retirement?
|
CREATE TABLE table_name_64 (grid INTEGER, laps VARCHAR, time VARCHAR)
|
SELECT MIN(grid) FROM table_name_64 WHERE laps < 24 AND time = "retirement"
|
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] |
Which County has an IHSAA Class of aaa, and an Enrollment smaller than 799?
|
CREATE TABLE table_name_68 (county VARCHAR, ihsaa_class VARCHAR, enrollment VARCHAR)
|
SELECT county FROM table_name_68 WHERE ihsaa_class = "aaa" AND enrollment < 799
|
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What is the sum of the week for the Denver Broncos?
|
CREATE TABLE table_70614 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"Attendance" real
)
|
SELECT SUM("Week") FROM table_70614 WHERE "Opponent" = 'denver broncos'
|
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how many patients whose insurance is private and admission year is less than 2167?
|
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
)
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 WHERE demographic.insurance = "Private" AND demographic.admityear < "2167"
|
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] |
Which season had EV Bad W rishofen in the West?
|
CREATE TABLE table_name_60 (
season VARCHAR,
west VARCHAR
)
|
SELECT season FROM table_name_60 WHERE west = "ev bad wörishofen"
|
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What is the sum of placings for the song 'Tavo Spalvos'?
|
CREATE TABLE table_64487 (
"Draw" real,
"Artist" text,
"Song" text,
"Points" real,
"Place" real
)
|
SELECT SUM("Place") FROM table_64487 WHERE "Song" = 'tavo spalvos'
|
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Show me school_id by acc regular season in a histogram, show in descending by the y axis.
|
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
)
CREATE TABLE university (
School_ID int,
School text,
Location text,
Founded real,
Affiliation text,
Enrollment real,
Nickname text,
Primary_conference text
)
|
SELECT ACC_Regular_Season, School_ID FROM basketball_match ORDER BY School_ID DESC
|
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count the number of patients whose admission type is emergency and procedure long title is left heart cardiac catheterization?
|
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE 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 COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND procedures.long_title = "Left heart cardiac catheterization"
|
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What is Date, when Visitor is Toronto?
|
CREATE TABLE table_name_37 (
date VARCHAR,
visitor VARCHAR
)
|
SELECT date FROM table_name_37 WHERE visitor = "toronto"
|
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What are the names of customers with credit score less than the average credit score across customers?
|
CREATE TABLE customer (
cust_id text,
cust_name text,
acc_type text,
acc_bal number,
no_of_loans number,
credit_score number,
branch_id number,
state text
)
CREATE TABLE bank (
branch_id number,
bname text,
no_of_customers number,
city text,
state text
)
CREATE TABLE loan (
loan_id text,
loan_type text,
cust_id text,
branch_id text,
amount number
)
|
SELECT cust_name FROM customer WHERE credit_score < (SELECT AVG(credit_score) FROM customer)
|
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] |
What is the maximum lost with points 1 more than 58 and 66 goals against?
|
CREATE TABLE table_43674 (
"Position" real,
"Team" text,
"Played" real,
"Drawn" real,
"Lost" real,
"Goals For" real,
"Goals Against" real,
"Goal Difference" text,
"Points 1" real
)
|
SELECT MAX("Lost") FROM table_43674 WHERE "Points 1" > '58' AND "Goals Against" = '66'
|
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How many have Mrs. briar as a villain
|
CREATE TABLE table_10470082_5 (no VARCHAR, villains VARCHAR)
|
SELECT COUNT(no) FROM table_10470082_5 WHERE villains = "Mrs. Briar"
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What is the away team of match 9?
|
CREATE TABLE table_40524 (
"Match No." text,
"Home Team" text,
"Score" text,
"Away Team" text,
"Attendance" text
)
|
SELECT "Away Team" FROM table_40524 WHERE "Match No." = '9'
|
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Which home team played on January 5, 2008?
|
CREATE TABLE table_name_79 (home_team VARCHAR, date VARCHAR)
|
SELECT home_team FROM table_name_79 WHERE date = "january 5, 2008"
|
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what is the capacity when the acceleration 1-100km/h is 11.1 s?
|
CREATE TABLE table_14852 (
"Name" text,
"Code" text,
"Capacity" text,
"Power" text,
"Acceleration 0\u2013100km/h" text,
"Top speed" text,
"Combined consumption" text
)
|
SELECT "Capacity" FROM table_14852 WHERE "Acceleration 0\u2013100km/h" = '11.1 s'
|
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Show the number of transactions with transaction type code 'SALE' for different investors if it is larger than 0. Show the correlation.
|
CREATE TABLE Purchases (
purchase_transaction_id INTEGER,
purchase_details VARCHAR(255)
)
CREATE TABLE Ref_Transaction_Types (
transaction_type_code VARCHAR(10),
transaction_type_description VARCHAR(80)
)
CREATE TABLE Investors (
investor_id INTEGER,
Investor_details VARCHAR(255)
)
CREATE TABLE Transactions_Lots (
transaction_id INTEGER,
lot_id INTEGER
)
CREATE TABLE Lots (
lot_id INTEGER,
investor_id INTEGER,
lot_details VARCHAR(255)
)
CREATE TABLE Transactions (
transaction_id INTEGER,
investor_id INTEGER,
transaction_type_code VARCHAR(10),
date_of_transaction DATETIME,
amount_of_transaction DECIMAL(19,4),
share_count VARCHAR(40),
other_details VARCHAR(255)
)
CREATE TABLE Sales (
sales_transaction_id INTEGER,
sales_details VARCHAR(255)
)
|
SELECT investor_id, COUNT(*) FROM Transactions WHERE transaction_type_code = "SALE" GROUP BY investor_id
|
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how many patients have stayed in the hospital for more than 15 days with home health care discharge location?
|
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 demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.discharge_location = "HOME HEALTH CARE" AND demographic.days_stay > "15"
|
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what is the number of female patients with discharge location disc-tran cancer/childrn h?
|
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 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 WHERE demographic.gender = "F" AND demographic.discharge_location = "DISC-TRAN CANCER/CHLDRN H"
|
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IN HOW MANY ISSUES WAS HARRISON FORD THE INTERVIEW SUBJECT?
|
CREATE TABLE table_1566852_3 (
date VARCHAR,
interview_subject VARCHAR
)
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SELECT COUNT(date) FROM table_1566852_3 WHERE interview_subject = "Harrison Ford"
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what are the total number of times european junior championships is listed as the competition ?
|
CREATE TABLE table_203_429 (
id number,
"year" number,
"competition" text,
"venue" text,
"position" text,
"notes" text
)
|
SELECT COUNT(*) FROM table_203_429 WHERE "competition" = 'european junior championships'
|
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Which Fuel Propulsion has Numbers (Quantity Ordered) of 7124-7156 (33 buses)?
|
CREATE TABLE table_6427 (
"Make/ Model" text,
"length" text,
"Year" real,
"Numbers (Quantity Ordered)" text,
"Fuel Propulsion" text
)
|
SELECT "Fuel Propulsion" FROM table_6427 WHERE "Numbers (Quantity Ordered)" = '7124-7156 (33 buses)'
|
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What is the Rank of the couple with less than 408.8 Points and Placings of 160?
|
CREATE TABLE table_48945 (
"Rank" real,
"Name" text,
"Nation" text,
"Points" real,
"Placings" real
)
|
SELECT "Rank" FROM table_48945 WHERE "Points" < '408.8' AND "Placings" = '160'
|
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Name the least merconorte for interliga of 2 and matches more than 260 with superliga more than 7
|
CREATE TABLE table_name_92 (
merconorte INTEGER,
superliga VARCHAR,
interliga VARCHAR,
matches VARCHAR
)
|
SELECT MIN(merconorte) FROM table_name_92 WHERE interliga = 2 AND matches > 260 AND superliga > 7
|
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When was the game at Collingwood?
|
CREATE TABLE table_name_59 (
date VARCHAR,
away_team VARCHAR
)
|
SELECT date FROM table_name_59 WHERE away_team = "collingwood"
|
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What venue featured essendon as home team?
|
CREATE TABLE table_4868 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
)
|
SELECT "Venue" FROM table_4868 WHERE "Home team" = 'essendon'
|
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Tell me the laps for 3 grids
|
CREATE TABLE table_name_67 (laps VARCHAR, grid VARCHAR)
|
SELECT laps FROM table_name_67 WHERE grid = 3
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What is the number of points associated with the highest position under 9 and a current position of 22?
|
CREATE TABLE table_36737 (
"Position" real,
"Artist" text,
"Song title" text,
"Highest position" real,
"Points" real
)
|
SELECT "Points" FROM table_36737 WHERE "Highest position" < '9' AND "Position" = '22'
|
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What is the result the R3 round?
|
CREATE TABLE table_49440 (
"Date" text,
"Round" text,
"Opponent" text,
"Venue" text,
"Result" text,
"Attendance" real,
"Scorers" text
)
|
SELECT "Result" FROM table_49440 WHERE "Round" = 'r3'
|
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What is the modern equivalent of the former kingdom 'silla' with the hanja ?
|
CREATE TABLE table_72743 (
"Former kingdom" text,
"Province" text,
"Hangul" text,
"Hanja" text,
"Capital" text,
"Modern equivalent" text
)
|
SELECT COUNT("Modern equivalent") FROM table_72743 WHERE "Former kingdom" = 'Silla' AND "Hanja" = '尙州'
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what type is the institute that enrolled 2102
|
CREATE TABLE table_1974632_1 (
type VARCHAR,
enrollment VARCHAR
)
|
SELECT type FROM table_1974632_1 WHERE enrollment = 2102
|
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|
CREATE TABLE table_27539535_4 (
record VARCHAR,
game VARCHAR
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SELECT record FROM table_27539535_4 WHERE game = 13
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which game at home had the most attendance ?
|
CREATE TABLE table_204_994 (
id number,
"date" text,
"time" text,
"opponent#" text,
"rank#" text,
"site" text,
"tv" text,
"result" text,
"attendance" number
)
|
SELECT "opponent#" FROM table_204_994 WHERE "opponent#" = 'home' ORDER BY "attendance" DESC LIMIT 1
|
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What was the score when the home team was goole town?
|
CREATE TABLE table_name_84 (
score VARCHAR,
home_team VARCHAR
)
|
SELECT score FROM table_name_84 WHERE home_team = "goole town"
|
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If the team is Worcester, what is the 2005-2006 points?
|
CREATE TABLE table_23215145_2 (
team VARCHAR
)
|
SELECT 2005 AS _06_points FROM table_23215145_2 WHERE team = "Worcester"
|
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What was the earliest week when the New Orleans Saints were the opponents?
|
CREATE TABLE table_name_31 (week INTEGER, opponent VARCHAR)
|
SELECT MIN(week) FROM table_name_31 WHERE opponent = "new orleans saints"
|
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what is the rank when judge m is 65.93 and judge e is 65.56?
|
CREATE TABLE table_name_67 (
rank VARCHAR,
judge_m VARCHAR,
judge_e VARCHAR
)
|
SELECT rank FROM table_name_67 WHERE judge_m = "65.93" AND judge_e = "65.56"
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What was the competition when there was no competition for mens doubles?
|
CREATE TABLE table_15001572_1 (
womens_doubles VARCHAR,
mens_doubles VARCHAR
)
|
SELECT womens_doubles FROM table_15001572_1 WHERE mens_doubles = "No competition"
|
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What year did J. Jones, trearddur bay build a boat with a current status of tbsc?
|
CREATE TABLE table_name_54 (
year_built VARCHAR,
current_status VARCHAR,
boat_builder VARCHAR
)
|
SELECT year_built FROM table_name_54 WHERE current_status = "tbsc" AND boat_builder = "j. jones, trearddur bay"
|
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On what date did the New York Giants host a game?
|
CREATE TABLE table_68751 (
"Date" text,
"Visiting Team" text,
"Final Score" text,
"Host Team" text,
"Stadium" text
)
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SELECT "Date" FROM table_68751 WHERE "Host Team" = 'new york giants'
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What position did the CFL player drafted out of college of toronto in 2007 play?
|
CREATE TABLE table_name_22 (
position VARCHAR,
college VARCHAR
)
|
SELECT position FROM table_name_22 WHERE college = "toronto"
|
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What venue had a Score of 120-108?
|
CREATE TABLE table_name_1 (venue VARCHAR, score VARCHAR)
|
SELECT venue FROM table_name_1 WHERE score = "120-108"
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What sport has a Gold larger than 0, and a Silver of 2?
|
CREATE TABLE table_name_7 (sport VARCHAR, gold VARCHAR, silver VARCHAR)
|
SELECT sport FROM table_name_7 WHERE gold > 0 AND silver = 2
|
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what note is before former md 453 ?
|
CREATE TABLE table_204_888 (
id number,
"location" text,
"mile" number,
"destinations" text,
"notes" text
)
|
SELECT "notes" FROM table_204_888 WHERE id = (SELECT id FROM table_204_888 WHERE "notes" = 'former md 453') - 1
|
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Show the average, minimum, and maximum age for different majors.
|
CREATE TABLE Student (
major VARCHAR,
age INTEGER
)
|
SELECT major, AVG(age), MIN(age), MAX(age) FROM Student GROUP BY major
|
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When 8 is the rank what is the Saturday August 21st?
|
CREATE TABLE table_26986076_5 (
sat_21_aug VARCHAR,
rank VARCHAR
)
|
SELECT sat_21_aug FROM table_26986076_5 WHERE rank = 8
|
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For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, what is the relationship between salary and commission_pct ?
|
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
|
SELECT SALARY, COMMISSION_PCT FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40
|
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What was the score of the game played on May 9?
|
CREATE TABLE table_name_43 (
score VARCHAR,
date VARCHAR
)
|
SELECT score FROM table_name_43 WHERE date = "may 9"
|
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What ceremony was leela chitnis nominated at?
|
CREATE TABLE table_name_45 (ceremony VARCHAR, outcome VARCHAR, nominee VARCHAR)
|
SELECT ceremony FROM table_name_45 WHERE outcome = "nominated" AND nominee = "leela chitnis"
|
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How many medals for spain with 1 silver?
|
CREATE TABLE table_name_68 (
total INTEGER,
silver VARCHAR,
nation VARCHAR
)
|
SELECT SUM(total) FROM table_name_68 WHERE silver = "1" AND nation = "spain"
|
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provide the number of patients whose drug code is meto25?
|
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.formulary_drug_cd = "METO25"
|
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Which Date has a Result of 0 0?
|
CREATE TABLE table_name_42 (
date VARCHAR,
result VARCHAR
)
|
SELECT date FROM table_name_42 WHERE result = "0–0"
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how many patients underwent abn react-renal dialysis and have abnormal lab test status?
|
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE 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 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.short_title = "Abn react-renal dialysis" AND lab.flag = "abnormal"
|
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What is the pick number average for the player who was drafted before round 7, and went to college at Tennessee?
|
CREATE TABLE table_62182 (
"Round" real,
"Pick #" real,
"Overall" real,
"Name" text,
"Position" text,
"College" text
)
|
SELECT AVG("Pick #") FROM table_62182 WHERE "Round" < '7' AND "College" = 'tennessee'
|
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What is the sum of skin depth with a resistivity of 1.12 and a relative permeability larger than 1?
|
CREATE TABLE table_name_30 (_inches VARCHAR, skin_depth INTEGER, resistivity__10_−6_ohm_inches_ VARCHAR, relative_permeability VARCHAR)
|
SELECT SUM(skin_depth), _inches FROM table_name_30 WHERE resistivity__10_−6_ohm_inches_ = 1.12 AND relative_permeability > 1
|
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] |
What day did South Melbourne play as the away team?
|
CREATE TABLE table_11168 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
)
|
SELECT "Date" FROM table_11168 WHERE "Away team" = 'south melbourne'
|
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] |
What are the maximum score of wines in each year?
|
CREATE TABLE appellations (
No INTEGER,
Appelation TEXT,
County TEXT,
State TEXT,
Area TEXT,
isAVA TEXT
)
CREATE TABLE wine (
No INTEGER,
Grape TEXT,
Winery TEXT,
Appelation TEXT,
State TEXT,
Name TEXT,
Year INTEGER,
Price INTEGER,
Score INTEGER,
Cases INTEGER,
Drink TEXT
)
CREATE TABLE grapes (
ID INTEGER,
Grape TEXT,
Color TEXT
)
|
SELECT Year, MAX(Score) FROM wine GROUP BY Year
|
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For entries with lost larger than 21 and goals for smaller than 36, what is the average drawn?
|
CREATE TABLE table_name_79 (
drawn INTEGER,
goals_for VARCHAR,
lost VARCHAR
)
|
SELECT AVG(drawn) FROM table_name_79 WHERE goals_for < 36 AND lost > 21
|
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Total of 3, and a Gold larger than 0, and a Nation of belarus, and a Silver larger than 2 has what sum of bronze?
|
CREATE TABLE table_name_27 (
bronze INTEGER,
silver VARCHAR,
nation VARCHAR,
total VARCHAR,
gold VARCHAR
)
|
SELECT SUM(bronze) FROM table_name_27 WHERE total = 3 AND gold > 0 AND nation = "belarus" AND silver > 2
|
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Show the most common country across members.
|
CREATE TABLE member (
Country VARCHAR
)
|
SELECT Country FROM member GROUP BY Country ORDER BY COUNT(*) DESC LIMIT 1
|
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Visualize a bar chart, group by name and compute each group's total number, and display X-axis in ascending order.
|
CREATE TABLE train (
Train_ID int,
Name text,
Time text,
Service text
)
CREATE TABLE station (
Station_ID int,
Name text,
Annual_entry_exit real,
Annual_interchanges real,
Total_Passengers real,
Location text,
Main_Services text,
Number_of_Platforms int
)
CREATE TABLE train_station (
Train_ID int,
Station_ID int
)
|
SELECT Name, COUNT(Name) FROM train GROUP BY Name ORDER BY Name
|
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What chassis is on the car repped by team rahal letterman lanigan racing?
|
CREATE TABLE table_27304 (
"Team" text,
"#" real,
"Primary Sponsor" text,
"Driver(s)" text,
"Listed Owner(s)" text,
"Engine" text,
"Chassis" text
)
|
SELECT "Chassis" FROM table_27304 WHERE "Team" = 'Rahal Letterman Lanigan Racing'
|
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Which Former Team has a Pick larger than 20?
|
CREATE TABLE table_name_72 (former_team VARCHAR, pick INTEGER)
|
SELECT former_team FROM table_name_72 WHERE pick > 20
|
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What is the 2002 statistic for the product that had 452,000 tonnes in 2001?
|
CREATE TABLE table_56393 (
"Product" text,
"2004" text,
"2003" text,
"2002" text,
"2001" text
)
|
SELECT "2002" FROM table_56393 WHERE "2001" = '452,000 tonnes'
|
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What is Date, when Effect is "Shot Down", and when Place is "South of Stanley Airport"?
|
CREATE TABLE table_name_82 (date VARCHAR, effect VARCHAR, place VARCHAR)
|
SELECT date FROM table_name_82 WHERE effect = "shot down" AND place = "south of stanley airport"
|
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Which player has a subtotal of more than 3 and more than 8 in round 1?
|
CREATE TABLE table_79006 (
"Player" text,
"Team" text,
"Round 1" real,
"Round 2" text,
"Subtotal" real,
"Finals" text,
"Total" real
)
|
SELECT "Player" FROM table_79006 WHERE "Subtotal" > '3' AND "Round 1" > '8'
|
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what is the Europe number for the league cup of 36 (0)?
|
CREATE TABLE table_19727 (
"Name" text,
"Years" text,
"League" text,
"FA Cup" text,
"League Cup" text,
"Europe" text,
"Other a" text,
"Total" text
)
|
SELECT "Europe" FROM table_19727 WHERE "League Cup" = '36 (0)'
|
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how many patients whose gender is f and diagnoses icd9 code is 3572?
|
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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.gender = "F" AND diagnoses.icd9_code = "3572"
|
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Tell me the date for detroit and game more than 3
|
CREATE TABLE table_name_53 (
date VARCHAR,
team VARCHAR,
game VARCHAR
)
|
SELECT date FROM table_name_53 WHERE team = "detroit" AND game > 3
|
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what 2001 has 1991 of 4r?
|
CREATE TABLE table_56434 (
"Tournament" text,
"1989" text,
"1990" text,
"1991" text,
"1992" text,
"1993" text,
"1994" text,
"1995" text,
"1996" text,
"1997" text,
"1998" text,
"1999" text,
"2000" text,
"2001" text,
"2002" text,
"2003" text,
"2004" text,
"2005" text
)
|
SELECT "2001" FROM table_56434 WHERE "1991" = '4r'
|
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-100,
-100,
-100
] |
What is the value in 2008 when 1R is 2009 and 3R?
|
CREATE TABLE table_name_77 (Id VARCHAR)
|
SELECT 2008 FROM table_name_77 WHERE 2009 = "1r" AND 2006 = "3r"
|
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serum creatinine >= 1.5 mg / dl ( 133 umol / l ) for male subjects, >= 1.4 mg / dl ( 124 umol / l ) for female subjects
|
CREATE TABLE table_dev_49 (
"id" int,
"gender" string,
"systolic_blood_pressure_sbp" int,
"renal_disease" bool,
"diastolic_blood_pressure_dbp" int,
"high_density_lipoprotein_cholesterol_hdl_c" int,
"serum_creatinine" float,
"waist_circumference" int,
"triglyceride_tg" float,
"hypertension" bool,
"NOUSE" float
)
|
SELECT * FROM table_dev_49 WHERE (serum_creatinine > 1.5 AND gender = 'male') OR (serum_creatinine > 1.4 AND gender = 'female')
|
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Name the least game for l 109 116 (ot)
|
CREATE TABLE table_29728 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location Attendance" text,
"Record" text
)
|
SELECT MIN("Game") FROM table_29728 WHERE "Score" = 'L 109–116 (OT)'
|
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has patient 006-124193 underwent any lab test in 12/2105?
|
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime 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 vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime 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 lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
|
SELECT COUNT(*) > 0 FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-124193')) AND STRFTIME('%y-%m', lab.labresulttime) = '2105-12'
|
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-100
] |
Show the proportion of the districts of markets they are on, a pie chart.
|
CREATE TABLE market (
Market_ID int,
District text,
Num_of_employees int,
Num_of_shops real,
Ranking int
)
CREATE TABLE phone_market (
Market_ID int,
Phone_ID text,
Num_of_stock int
)
CREATE TABLE phone (
Name text,
Phone_ID int,
Memory_in_G int,
Carrier text,
Price real
)
|
SELECT District, COUNT(District) FROM phone_market AS T1 JOIN market AS T2 ON T1.Market_ID = T2.Market_ID JOIN phone AS T3 ON T1.Phone_ID = T3.Phone_ID GROUP BY District
|
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Which player is from Utah?
|
CREATE TABLE table_11677691_7 (player VARCHAR, college VARCHAR)
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SELECT player FROM table_11677691_7 WHERE college = "Utah"
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What is the paper type for the date of issue July 8?
|
CREATE TABLE table_25468520_1 (paper_type VARCHAR, date_of_issue VARCHAR)
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SELECT paper_type FROM table_25468520_1 WHERE date_of_issue = "July 8"
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What 8:00 am has a 3:00 pm of space goofs (mon) spider-man (tue-fri)?
|
CREATE TABLE table_61736 (
"7:00 am" text,
"7:30 am" text,
"8:00 am" text,
"9:00 am" text,
"11:00 am" text,
"noon" text,
"12:30 pm" text,
"1:00 pm" text,
"1:30 pm" text,
"2:00 pm" text,
"3:00 pm" text,
"4:30 pm" text,
"5:00 pm" text,
"6:30 pm" text
)
|
SELECT "8:00 am" FROM table_61736 WHERE "3:00 pm" = 'space goofs (mon) spider-man (tue-fri)'
|
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How many women has reached the title of Miss International representing the country ranked as number 1?
|
CREATE TABLE table_31399 (
"Rank" real,
"Country/Territory" text,
"Miss International" real,
"1st Runner-up" real,
"2nd Runner-up" real,
"3rd Runner-up" real,
"4th Runner-up" real,
"Semifinalists" real,
"Total" real
)
|
SELECT MIN("Miss International") FROM table_31399 WHERE "Rank" = '1'
|
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