NATURAL_LANG
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446
| SCHEMA
stringlengths 27
2.21k
| SQL
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453
| input_ids
list | attention_mask
list | labels
list |
|---|---|---|---|---|---|
What denomination is mt lawley?
|
CREATE TABLE table_name_5 (denomination VARCHAR, location VARCHAR)
|
SELECT denomination FROM table_name_5 WHERE location = "mt lawley"
|
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give me the number of patients whose gender is f and primary disease is neoplasm of uncertain behavior of other lymphatic and hematopoietic tissues\bone marrow transplant?
|
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "F" AND demographic.diagnosis = "NEOPLASM OF UNCERTAIN BEHAVIOR OF OTHER LYMPHATIC AND HEMATOPOIETIC TISSUES\BONE MARROW TRANSPLANT"
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] |
For all employees who have the letters D or S in their first name, a scatter chart shows the correlation between commission_pct and manager_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 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 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 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)
)
|
SELECT COMMISSION_PCT, MANAGER_ID FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%'
|
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-100
] |
Which team had 21 points?
|
CREATE TABLE table_20007 (
"Position" real,
"Team" text,
"Points" real,
"Played" real,
"Won" real,
"Drawn" real,
"Lost" real,
"For" real,
"Against" real,
"Difference" text
)
|
SELECT "Team" FROM table_20007 WHERE "Points" = '21'
|
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what number of patients of american indian/alaska native ethnicity had lab test named transitional epithelial cells?
|
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.ethnicity = "AMERICAN INDIAN/ALASKA NATIVE" AND lab.label = "Transitional Epithelial Cells"
|
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] |
What is the smallest rank number of those used to rank the islands?
|
CREATE TABLE table_13897690_1 (
rank INTEGER
)
|
SELECT MIN(rank) FROM table_13897690_1
|
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] |
what is the number of patients prescribed sulfameth/trimethoprim ds who were admitted via physician referral/normal delivery?
|
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_location = "PHYS REFERRAL/NORMAL DELI" AND prescriptions.drug = "Sulfameth/Trimethoprim DS"
|
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What was the margin of victory when the winning score was 10 (70-72-68-68=278)?
|
CREATE TABLE table_name_6 (
margin_of_victory VARCHAR,
winning_score VARCHAR
)
|
SELECT margin_of_victory FROM table_name_6 WHERE winning_score = –10(70 - 72 - 68 - 68 = 278)
|
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-100,
-100,
-100
] |
What is the song with more than 9 points and 44 (11) jury (points)?
|
CREATE TABLE table_name_55 (
song VARCHAR,
total_points VARCHAR,
jury__points_ VARCHAR
)
|
SELECT song FROM table_name_55 WHERE total_points > 9 AND jury__points_ = "44 (11)"
|
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427,
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] |
For each city, return the highest latitude among its stations.
|
CREATE TABLE station (
city VARCHAR,
lat INTEGER
)
|
SELECT city, MAX(lat) FROM station GROUP BY city
|
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What was the UK broadcast date for the episode presented by Buck Henry?
|
CREATE TABLE table_15211468_3 (uk_broadcast_date VARCHAR, presenter VARCHAR)
|
SELECT uk_broadcast_date FROM table_15211468_3 WHERE presenter = "Buck Henry"
|
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If the site was wallace wade stadium durham, nc, what was the result?
|
CREATE TABLE table_29072 (
"Date" text,
"Time" text,
"Visiting team" text,
"Home team" text,
"Site" text,
"Broadcast" text,
"Result" text,
"Attendance" real
)
|
SELECT "Result" FROM table_29072 WHERE "Site" = 'Wallace Wade Stadium • Durham, NC'
|
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platelet count < 100000 / mm3 or hemoglobin < 10 g / dl.
|
CREATE TABLE table_test_29 (
"id" int,
"bleeding" int,
"left_ventricular_ejection_fraction_lvef" int,
"systolic_blood_pressure_sbp" int,
"hemoglobin_a1c_hba1c" float,
"heart_disease" bool,
"trauma" bool,
"renal_disease" bool,
"creatinine_clearance_cl" float,
"hemorrhagic_stroke" bool,
"platelet_count" float,
"surgery" bool,
"thrombocytopenia" float,
"liver_disease" bool,
"oral_anticoagulant_therapy" bool,
"heart_rate" int,
"kidney_disease" bool,
"inr" float,
"hypertension" bool,
"NOUSE" float
)
|
SELECT * FROM table_test_29 WHERE platelet_count < 100000 OR hemoglobin_a1c_hba1c < 10
|
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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, draw a line chart about the change of department_id over hire_date , display by the X from low to high.
|
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE 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 regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE 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)
)
|
SELECT HIRE_DATE, DEPARTMENT_ID FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 ORDER BY HIRE_DATE
|
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] |
When 17,874 (33.2) is the percentage against what is the percentage for?
|
CREATE TABLE table_20683381_3 (
for___percentage_ VARCHAR,
against___percentage_ VARCHAR
)
|
SELECT for___percentage_ FROM table_20683381_3 WHERE against___percentage_ = "17,874 (33.2)"
|
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What player plays the position of small forward?
|
CREATE TABLE table_name_26 (player VARCHAR, position VARCHAR)
|
SELECT player FROM table_name_26 WHERE position = "small forward"
|
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how many times is the qualifying score 61.400?
|
CREATE TABLE table_17992 (
"Year" real,
"Competition" text,
"Location" text,
"Event" text,
"Final-Rank" text,
"Final-Score" text,
"Qualifying Rank" real,
"Qualifying Score" text
)
|
SELECT COUNT("Year") FROM table_17992 WHERE "Qualifying Score" = '61.400'
|
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What is the sum of the FAC/LC G with a CL G less than 2, less than 5 total apps, and a UEFA YC greater than 0?
|
CREATE TABLE table_name_30 (
fac___lc_g INTEGER,
UEfa_yc VARCHAR,
cl_g VARCHAR,
total_apps VARCHAR
)
|
SELECT SUM(fac___lc_g) FROM table_name_30 WHERE cl_g < 2 AND total_apps < 5 AND UEfa_yc > 0
|
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Before 1981, how many Points did Team Suzuki have with less than 0 Wins?
|
CREATE TABLE table_5721 (
"Year" real,
"Class" text,
"Team" text,
"Machine" text,
"Points" real,
"Wins" real
)
|
SELECT SUM("Points") FROM table_5721 WHERE "Team" = 'suzuki' AND "Year" < '1981' AND "Wins" < '0'
|
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Name the fluency for transcortical sensory aphasia
|
CREATE TABLE table_2088_1 (
fluency VARCHAR,
type_of_aphasia VARCHAR
)
|
SELECT fluency FROM table_2088_1 WHERE type_of_aphasia = "Transcortical sensory aphasia"
|
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What venue features carlton as the home side?
|
CREATE TABLE table_name_40 (venue VARCHAR, home_team VARCHAR)
|
SELECT venue FROM table_name_40 WHERE home_team = "carlton"
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who is the the pole position with date being august 10
|
CREATE TABLE table_19462 (
"Rnd" real,
"Race Name" text,
"Circuit" text,
"City/Location" text,
"Date" text,
"Pole position" text,
"Fastest lap" text,
"Winning driver" text,
"Winning team" text,
"Report" text
)
|
SELECT "Pole position" FROM table_19462 WHERE "Date" = 'August 10'
|
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Who directed the episode that aired November 21, 2003?
|
CREATE TABLE table_28859177_2 (directed_by VARCHAR, original_air_date VARCHAR)
|
SELECT directed_by FROM table_28859177_2 WHERE original_air_date = "November 21, 2003"
|
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Name the accession number for sequence similarity being 54
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CREATE TABLE table_29342 (
"Genus/Species" text,
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"Sequence similarity" real
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SELECT "Accession number" FROM table_29342 WHERE "Sequence similarity" = '54'
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SELECT style FROM table_28677723_14 WHERE total = 27
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What was the score of round 3?
|
CREATE TABLE table_24317 (
"Competition" text,
"Round" text,
"Opponent" text,
"Result" text,
"Score" text,
"Home/Away" text,
"Venue" text,
"Attendance" text,
"Date" text
)
|
SELECT "Score" FROM table_24317 WHERE "Round" = '3'
|
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what is the number of patients whose discharge location is disch-tran to psych hosp and admission year is less than 2187?
|
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 WHERE demographic.discharge_location = "DISCH-TRAN TO PSYCH HOSP" AND demographic.admityear < "2187"
|
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Show the draft pick numbers and draft classes of players whose positions are defenders.
|
CREATE TABLE match_season (
Draft_Pick_Number VARCHAR,
Draft_Class VARCHAR,
POSITION VARCHAR
)
|
SELECT Draft_Pick_Number, Draft_Class FROM match_season WHERE POSITION = "Defender"
|
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What number episode in the season was watched by 0.49 million U.S. viewers?
|
CREATE TABLE table_3675 (
"No." real,
"#" real,
"Title" text,
"Directed by" text,
"Story by" text,
"Teleplay by" text,
"Original air date" text,
"U.S. viewers (millions)" text
)
|
SELECT MAX("#") FROM table_3675 WHERE "U.S. viewers (millions)" = '0.49'
|
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Which Works number has a Builder of canadian engine & machinery company, and a Number smaller than 3?
|
CREATE TABLE table_name_20 (works_number VARCHAR, builder VARCHAR, number VARCHAR)
|
SELECT works_number FROM table_name_20 WHERE builder = "canadian engine & machinery company" AND number < 3
|
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provide the number of patients whose insurance is medicaid and diagnoses short title is epilep nos w/o intr epil?
|
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 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
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.insurance = "Medicaid" AND diagnoses.short_title = "Epilep NOS w/o intr epil"
|
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[
3,
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2847,
17161,
599,
15438,
25424,
6227,
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5,
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11827,
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] |
How many Bronzes that has a Nation of italy?
|
CREATE TABLE table_35839 (
"Rank" text,
"Nation" text,
"Gold" real,
"Silver" real,
"Bronze" real,
"Total" real
)
|
SELECT MAX("Bronze") FROM table_35839 WHERE "Nation" = 'italy'
|
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How many settlements does each claim correspond to? List the claim id and the number of settlements. Visualize by scatter chart.
|
CREATE TABLE Claims (
Claim_ID INTEGER,
Policy_ID INTEGER,
Date_Claim_Made DATE,
Date_Claim_Settled DATE,
Amount_Claimed INTEGER,
Amount_Settled INTEGER
)
CREATE TABLE Settlements (
Settlement_ID INTEGER,
Claim_ID INTEGER,
Date_Claim_Made DATE,
Date_Claim_Settled DATE,
Amount_Claimed INTEGER,
Amount_Settled INTEGER,
Customer_Policy_ID INTEGER
)
CREATE TABLE Customer_Policies (
Policy_ID INTEGER,
Customer_ID INTEGER,
Policy_Type_Code CHAR(15),
Start_Date DATE,
End_Date DATE
)
CREATE TABLE Payments (
Payment_ID INTEGER,
Settlement_ID INTEGER,
Payment_Method_Code VARCHAR(255),
Date_Payment_Made DATE,
Amount_Payment INTEGER
)
CREATE TABLE Customers (
Customer_ID INTEGER,
Customer_Details VARCHAR(255)
)
|
SELECT T1.Claim_ID, COUNT(*) FROM Claims AS T1 JOIN Settlements AS T2 ON T1.Claim_ID = T2.Claim_ID GROUP BY T1.Claim_ID
|
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What rnds were there for the phoenix international raceway?
|
CREATE TABLE table_10707176_2 (rnd VARCHAR, circuit VARCHAR)
|
SELECT rnd FROM table_10707176_2 WHERE circuit = "Phoenix International Raceway"
|
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What is the average money requested in the episode first aired on 18 January 2005 by the company/product name IV Cam
|
CREATE TABLE table_name_96 (money_requested__ INTEGER, first_aired VARCHAR, company_or_product_name VARCHAR)
|
SELECT AVG(money_requested__) AS £_ FROM table_name_96 WHERE first_aired = "18 january 2005" AND company_or_product_name = "iv cam"
|
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What Heat & Lane is the person who has a time of 1:01.12?
|
CREATE TABLE table_name_72 (heat_ VARCHAR, _lane VARCHAR, time VARCHAR)
|
SELECT heat_ & _lane FROM table_name_72 WHERE time = "1:01.12"
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Name the date for result of eng by 23 runs
|
CREATE TABLE table_71367 (
"Date" text,
"Home captain" text,
"Away captain" text,
"Venue" text,
"Result" text
)
|
SELECT "Date" FROM table_71367 WHERE "Result" = 'eng by 23 runs'
|
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What is the Name of the racer with a heat higher than 2 and a lane less than 5, with a time of 1:01.53?
|
CREATE TABLE table_name_96 (
name VARCHAR,
time VARCHAR,
heat VARCHAR,
lane VARCHAR
)
|
SELECT name FROM table_name_96 WHERE heat > 2 AND lane < 5 AND time = "1:01.53"
|
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what number of patients diagnosed with other persistent mental disorders due to conditions classified elsewhere had death staus as 1?
|
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
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 WHERE demographic.expire_flag = "1" AND diagnoses.long_title = "Other persistent mental disorders due to conditions classified elsewhere"
|
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What College/Junior/Club Team (League) has a round of 3?
|
CREATE TABLE table_name_32 (college_junior_club_team__league_ VARCHAR, round VARCHAR)
|
SELECT college_junior_club_team__league_ FROM table_name_32 WHERE round = 3
|
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Who was the runner-up in 1989?
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CREATE TABLE table_name_32 (runner_up VARCHAR, year VARCHAR)
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SELECT runner_up FROM table_name_32 WHERE year = 1989
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List all week 37 results when week 33 is 14.3%.
|
CREATE TABLE table_26263 (
"Party" text,
"Week 32" text,
"Week 33" text,
"Week 34" text,
"Week 35" text,
"Week 36" text,
"Week 37" text
)
|
SELECT "Week 37" FROM table_26263 WHERE "Week 33" = '14.3%'
|
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What is the state of Ted Stevens?
|
CREATE TABLE table_84 (
"Total tenure rank" real,
"Uninterrupted rank" real,
"Name" text,
"State represented" text,
"Dates of service" text,
"Total tenure time" text,
"Uninterrupted time" text
)
|
SELECT "State represented" FROM table_84 WHERE "Name" = 'Ted Stevens'
|
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Return the date of birth for all the guests with gender code "Male".
|
CREATE TABLE Guests (date_of_birth VARCHAR, gender_code VARCHAR)
|
SELECT date_of_birth FROM Guests WHERE gender_code = "Male"
|
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] |
What are the final points a 0 total and 22 draws?
|
CREATE TABLE table_name_60 (final_points VARCHAR, total VARCHAR, draw VARCHAR)
|
SELECT final_points FROM table_name_60 WHERE total = "0" AND draw = 22
|
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What is the total number of Pick, when Position is OT, when Overall is greater than 91, when Round is greater than 21, and when College is Mississippi?
|
CREATE TABLE table_name_98 (
pick VARCHAR,
college VARCHAR,
round VARCHAR,
position VARCHAR,
overall VARCHAR
)
|
SELECT COUNT(pick) FROM table_name_98 WHERE position = "ot" AND overall > 91 AND round > 21 AND college = "mississippi"
|
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What is Result, when Venue is Götzis , Austria?
|
CREATE TABLE table_name_77 (result VARCHAR, venue VARCHAR)
|
SELECT result FROM table_name_77 WHERE venue = "götzis , austria"
|
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What is the name of the home team that played against Collingwood?
|
CREATE TABLE table_name_17 (home_team VARCHAR, away_team VARCHAR)
|
SELECT home_team FROM table_name_17 WHERE away_team = "collingwood"
|
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What is the name of member in charge of greatest number of events?
|
CREATE TABLE party_events (
member_in_charge_id VARCHAR
)
CREATE TABLE member (
member_name VARCHAR,
member_id VARCHAR
)
|
SELECT T1.member_name FROM member AS T1 JOIN party_events AS T2 ON T1.member_id = T2.member_in_charge_id GROUP BY T2.member_in_charge_id ORDER BY COUNT(*) DESC LIMIT 1
|
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provide the number of patients on po route of drug administration who have cellulitis and abscess of leg, except foot diagnoses.
|
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
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.long_title = "Cellulitis and abscess of leg, except foot" AND prescriptions.route = "PO"
|
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Matches of 15, and a Win % smaller than 20 had what highest lost?
|
CREATE TABLE table_name_83 (
lost INTEGER,
matches VARCHAR,
win__percentage VARCHAR
)
|
SELECT MAX(lost) FROM table_name_83 WHERE matches = 15 AND win__percentage < 20
|
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What are the hometowns of gymnasts and the corresponding number of gymnasts?
|
CREATE TABLE gymnast (
Gymnast_ID VARCHAR
)
CREATE TABLE people (
Hometown VARCHAR,
People_ID VARCHAR
)
|
SELECT T2.Hometown, COUNT(*) FROM gymnast AS T1 JOIN people AS T2 ON T1.Gymnast_ID = T2.People_ID GROUP BY T2.Hometown
|
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Visualize a bar chart for what are the names and the total prices of all products in the store?, and sort bar from low to high order.
|
CREATE TABLE Manufacturers (
Code INTEGER,
Name VARCHAR(255),
Headquarter VARCHAR(255),
Founder VARCHAR(255),
Revenue REAL
)
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255),
Price DECIMAL,
Manufacturer INTEGER
)
|
SELECT Name, SUM(Price) FROM Products GROUP BY Name ORDER BY Name
|
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What city has a charter date of november 24, 1999?
|
CREATE TABLE table_name_9 (city VARCHAR, charter_date VARCHAR)
|
SELECT city FROM table_name_9 WHERE charter_date = "november 24, 1999"
|
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What is the color code and description of the product named "chervil"?
|
CREATE TABLE products (color_code VARCHAR, product_name VARCHAR); CREATE TABLE ref_colors (color_description VARCHAR, color_code VARCHAR)
|
SELECT t1.color_code, t2.color_description FROM products AS t1 JOIN ref_colors AS t2 ON t1.color_code = t2.color_code WHERE t1.product_name = "chervil"
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provide the number of patients whose year of birth is less than 2060 and drug type is main?
|
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.dob_year < "2060" AND prescriptions.drug_type = "MAIN"
|
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At what tournament did pete sampras begin his lead?
|
CREATE TABLE table_23408094_14 (
tournament_at_which_lead_began VARCHAR,
player VARCHAR
)
|
SELECT tournament_at_which_lead_began FROM table_23408094_14 WHERE player = "Pete Sampras"
|
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what are some good restaurants in the bay area ?
|
CREATE TABLE restaurant (
id int,
name varchar,
food_type varchar,
city_name varchar,
rating "decimal
)
CREATE TABLE geographic (
city_name varchar,
county varchar,
region varchar
)
CREATE TABLE location (
restaurant_id int,
house_number int,
street_name varchar,
city_name varchar
)
|
SELECT location.house_number, restaurant.name FROM location, restaurant WHERE restaurant.city_name IN (SELECT GEOGRAPHICalias0.city_name FROM geographic AS GEOGRAPHICalias0 WHERE GEOGRAPHICalias0.region = 'bay area') AND restaurant.id = location.restaurant_id AND restaurant.rating > 2.5
|
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] |
How many matches had 360 goals?
|
CREATE TABLE table_name_31 (
matches VARCHAR,
goals VARCHAR
)
|
SELECT matches FROM table_name_31 WHERE goals = 360
|
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] |
Which Top 10 has a Top 5 larger than 1, and a Year of 2003, and Poles larger than 0?
|
CREATE TABLE table_38440 (
"Year" real,
"Starts" real,
"Wins" real,
"Top 5" real,
"Top 10" real,
"Poles" real,
"Avg. Start" real,
"Avg. Finish" real,
"Winnings" text,
"Position" text
)
|
SELECT AVG("Top 10") FROM table_38440 WHERE "Top 5" > '1' AND "Year" = '2003' AND "Poles" > '0'
|
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What is the total rank with a total larger than 2, and less than 0 gold
|
CREATE TABLE table_name_86 (
rank INTEGER,
total VARCHAR,
gold VARCHAR
)
|
SELECT SUM(rank) FROM table_name_86 WHERE total > 2 AND gold < 0
|
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When france had a rank larger than 2, what was their time?
|
CREATE TABLE table_name_94 (time VARCHAR, rank VARCHAR, country VARCHAR)
|
SELECT time FROM table_name_94 WHERE rank > 2 AND country = "france"
|
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Which level has grandmaster flash as artist 1?
|
CREATE TABLE table_23649244_1 (
level VARCHAR,
artist_1 VARCHAR
)
|
SELECT level FROM table_23649244_1 WHERE artist_1 = "Grandmaster Flash"
|
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provide the number of patients whose primary disease is copd exacerbation and procedure short title is exc chest cage bone les?
|
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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.diagnosis = "COPD EXACERBATION" AND procedures.short_title = "Exc chest cage bone les"
|
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What was the record when the Denver Broncos played the New York Titans at Bears Stadium?
|
CREATE TABLE table_61662 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"Game site" text,
"Record" text,
"Attendance" real
)
|
SELECT "Record" FROM table_61662 WHERE "Game site" = 'bears stadium' AND "Opponent" = 'new york titans'
|
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bring me the lab test name of the patient with patient id 2560.
|
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
|
SELECT lab.label FROM lab WHERE lab.subject_id = "2560"
|
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What is the 1st leg of the Al Fahaheel Team 1?
|
CREATE TABLE table_name_11 (
team_1 VARCHAR
)
|
SELECT 1 AS st_leg FROM table_name_11 WHERE team_1 = "al fahaheel"
|
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how many total times has liverpool won ?
|
CREATE TABLE table_204_448 (
id number,
"team" text,
"winners" number,
"runners-up" number,
"years won" text,
"years runner-up" text
)
|
SELECT "winners" FROM table_204_448 WHERE "team" = 'liverpool'
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Calculate the minimum age of emergency hospital admission patients who suffer from pneumonia human immunodeficiency virus but not tuberculosis as their primary disease.
|
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
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT MIN(demographic.age) FROM demographic WHERE demographic.admission_type = "EMERGENCY" AND demographic.diagnosis = "PNEUMONIA;HUMAN IMMUNODEFIENCY VIRUS;RULE OUT TUBERCULOSIS"
|
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What was the result for the cirtcuit where the LMPC winning team was #89 Intersport Racing?
|
CREATE TABLE table_3896 (
"Rnd" real,
"Circuit" text,
"LMP1 Winning Team" text,
"LMP2 Winning Team" text,
"LMPC Winning Team" text,
"GT Winning Team" text,
"GTC Winning Team" text,
"Results" text
)
|
SELECT "Results" FROM table_3896 WHERE "LMPC Winning Team" = '#89 Intersport Racing'
|
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What team has a grid of 15?
|
CREATE TABLE table_49063 (
"Driver" text,
"Team" text,
"Laps" real,
"Time/Retired" text,
"Grid" real,
"Points" real
)
|
SELECT "Team" FROM table_49063 WHERE "Grid" = '15'
|
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Which Bleeding has a Condition of congenital afibrinogenemia?
|
CREATE TABLE table_name_75 (
bleeding_time VARCHAR,
condition VARCHAR
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SELECT bleeding_time FROM table_name_75 WHERE condition = "congenital afibrinogenemia"
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Who played Peter Pan in the 1990 Broadway?
|
CREATE TABLE table_10312547_1 (
character VARCHAR
)
|
SELECT 1990 AS _broadway FROM table_10312547_1 WHERE character = "Peter Pan"
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Show the ids and details of the investors who have at least two transactions with type code 'SALE' Plot them as bar chart, I want to rank by the bar in ascending please.
|
CREATE TABLE Investors (
investor_id INTEGER,
Investor_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 Lots (
lot_id INTEGER,
investor_id INTEGER,
lot_details VARCHAR(255)
)
CREATE TABLE Ref_Transaction_Types (
transaction_type_code VARCHAR(10),
transaction_type_description VARCHAR(80)
)
CREATE TABLE Sales (
sales_transaction_id INTEGER,
sales_details VARCHAR(255)
)
CREATE TABLE Transactions_Lots (
transaction_id INTEGER,
lot_id INTEGER
)
CREATE TABLE Purchases (
purchase_transaction_id INTEGER,
purchase_details VARCHAR(255)
)
|
SELECT T1.Investor_details, T1.investor_id FROM Investors AS T1 JOIN Transactions AS T2 ON T1.investor_id = T2.investor_id WHERE T2.transaction_type_code = "SALE" ORDER BY T1.Investor_details
|
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What is 1998, when 1997 is '3R', and when 1992 is 'A'?
|
CREATE TABLE table_78705 (
"Tournament" 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 "1998" FROM table_78705 WHERE "1997" = '3r' AND "1992" = 'a'
|
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For those records from the products and each product's manufacturer, show me about the distribution of name and the sum of manufacturer , and group by attribute name in a bar chart, and rank by the bars in desc.
|
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255),
Price DECIMAL,
Manufacturer INTEGER
)
CREATE TABLE Manufacturers (
Code INTEGER,
Name VARCHAR(255),
Headquarter VARCHAR(255),
Founder VARCHAR(255),
Revenue REAL
)
|
SELECT T1.Name, T1.Manufacturer FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name ORDER BY T1.Name DESC
|
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Which Opponent in the final has an Outcome of winner, and a Date larger than 1992, and a Surface of clay, and a Score in the final of 3–6, 6–2, 6–1?
|
CREATE TABLE table_name_65 (opponent_in_the_final VARCHAR, score_in_the_final VARCHAR, surface VARCHAR, outcome VARCHAR, date VARCHAR)
|
SELECT opponent_in_the_final FROM table_name_65 WHERE outcome = "winner" AND date > 1992 AND surface = "clay" AND score_in_the_final = "3–6, 6–2, 6–1"
|
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What is the FIS Nordic World Ski Championships when holmenkollen is 1976?
|
CREATE TABLE table_21698 (
"Winner" text,
"Country" text,
"Winter Olympics" text,
"FIS Nordic World Ski Championships" text,
"Holmenkollen" text
)
|
SELECT "FIS Nordic World Ski Championships" FROM table_21698 WHERE "Holmenkollen" = '1976'
|
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what is the 1st round when team 2 is usl dunkerque (d2)?
|
CREATE TABLE table_name_73 (team_2 VARCHAR)
|
SELECT 1 AS st_round FROM table_name_73 WHERE team_2 = "usl dunkerque (d2)"
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what is the city for the country of netherlands?
|
CREATE TABLE table_48137 (
"City" text,
"Country" text,
"IATA" text,
"ICAO" text,
"Airport" text
)
|
SELECT "City" FROM table_48137 WHERE "Country" = 'netherlands'
|
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what is the highest amount of silver when gold is 0 for soviet union?
|
CREATE TABLE table_56926 (
"Rank" real,
"Nation" text,
"Gold" real,
"Silver" real,
"Bronze" real,
"Total" real
)
|
SELECT MAX("Silver") FROM table_56926 WHERE "Gold" = '0' AND "Nation" = 'soviet union'
|
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What country is Yerevan located in?
|
CREATE TABLE table_name_21 (country VARCHAR, city VARCHAR)
|
SELECT country FROM table_name_21 WHERE city = "yerevan"
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What is the Place of the Player with a Score of 70-75-70-74=289?
|
CREATE TABLE table_name_60 (place VARCHAR, score VARCHAR)
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SELECT place FROM table_name_60 WHERE score = 70 - 75 - 70 - 74 = 289
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Can you tell me the Score that has the December of 10?
|
CREATE TABLE table_name_55 (
score VARCHAR,
december VARCHAR
)
|
SELECT score FROM table_name_55 WHERE december = 10
|
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Tell me the long title of diagnoses for the patient with patient id 18077.
|
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
|
SELECT diagnoses.long_title FROM diagnoses WHERE diagnoses.subject_id = "18077"
|
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avg passengers in 2012 for 2009 more than 104.5 and 2010 less than 162.6 and 2011 less than 141.8 is what?
|
CREATE TABLE table_name_22 (Id VARCHAR)
|
SELECT AVG(2012) FROM table_name_22 WHERE 2009 > 104.5 AND 2010 < 162.6 AND 2011 < 141.8
|
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What is the record of the game on December 5, 2007?
|
CREATE TABLE table_name_55 (record VARCHAR, date VARCHAR)
|
SELECT record FROM table_name_55 WHERE date = "december 5, 2007"
|
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Please give me a pie chart showing institution types, along with the number of institutions for each type.
|
CREATE TABLE protein (
common_name text,
protein_name text,
divergence_from_human_lineage real,
accession_number text,
sequence_length real,
sequence_identity_to_human_protein text,
Institution_id text
)
CREATE TABLE building (
building_id text,
Name text,
Street_address text,
Years_as_tallest text,
Height_feet int,
Floors int
)
CREATE TABLE Institution (
Institution_id text,
Institution text,
Location text,
Founded real,
Type text,
Enrollment int,
Team text,
Primary_Conference text,
building_id text
)
|
SELECT Type, COUNT(*) FROM Institution GROUP BY Type
|
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Name the Against of Venue of brewery field , bridgend?
|
CREATE TABLE table_65251 (
"Opposing Team" text,
"Against" real,
"Date" text,
"Venue" text,
"Status" text
)
|
SELECT "Against" FROM table_65251 WHERE "Venue" = 'brewery field , bridgend'
|
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What level for seasons after 2003, a Division of kakkonen (second division), and a Position of 12th?
|
CREATE TABLE table_name_21 (
level VARCHAR,
position VARCHAR,
season VARCHAR,
division VARCHAR
)
|
SELECT level FROM table_name_21 WHERE season > 2003 AND division = "kakkonen (second division)" AND position = "12th"
|
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Walter Giles is Crew Chief of what team?
|
CREATE TABLE table_name_50 (team VARCHAR, crew_chief VARCHAR)
|
SELECT team FROM table_name_50 WHERE crew_chief = "walter giles"
|
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Find the detail of products whose detail contains the word 'Latte' or the word 'Americano
|
CREATE TABLE customer_addresses (
customer_id number,
address_id number,
date_address_from time,
address_type text,
date_address_to time
)
CREATE TABLE products (
product_id number,
product_details text
)
CREATE TABLE order_items (
order_id number,
product_id number,
order_quantity text
)
CREATE TABLE addresses (
address_id number,
address_content text,
city text,
zip_postcode text,
state_province_county text,
country text,
other_address_details text
)
CREATE TABLE customers (
customer_id number,
payment_method text,
customer_name text,
date_became_customer time,
other_customer_details text
)
CREATE TABLE customer_contact_channels (
customer_id number,
channel_code text,
active_from_date time,
active_to_date time,
contact_number text
)
CREATE TABLE customer_orders (
order_id number,
customer_id number,
order_status text,
order_date time,
order_details text
)
|
SELECT product_details FROM products WHERE product_details LIKE "%Latte%" OR product_details LIKE "%Americano%"
|
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What did the home team score when the away team scored 14.15 (99)?
|
CREATE TABLE table_56614 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
)
|
SELECT "Home team score" FROM table_56614 WHERE "Away team score" = '14.15 (99)'
|
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Show the different headquarters and number of companies at each headquarter.
|
CREATE TABLE company (
Headquarters VARCHAR
)
|
SELECT Headquarters, COUNT(*) FROM company GROUP BY Headquarters
|
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count the number of patients who were admitted before 2123 and had basophils lab test.
|
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 lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2123" AND lab.label = "Basophils"
|
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out of total number of patients who had other postoperative infection, calculate the number of those from jewish belief?
|
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.religion = "JEWISH" AND diagnoses.long_title = "Other postoperative infection"
|
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what is marital status and admission type of subject id 15898?
|
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 prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT demographic.marital_status, demographic.admission_type FROM demographic WHERE demographic.subject_id = "15898"
|
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-100,
-100
] |
Name the total number 1980 mil for soviet union
|
CREATE TABLE table_22071705_6 (
country VARCHAR
)
|
SELECT COUNT(1980 AS __mil_) FROM table_22071705_6 WHERE country = "Soviet Union"
|
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51,
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] |
the diagnosis of type ii diabetes of the subjects should be 1 year or more prior to the inception of this study
|
CREATE TABLE table_train_187 (
"id" int,
"pregnancy_or_lactation" bool,
"renal_disease" bool,
"diabetic" string,
"liver_disease" bool,
"NOUSE" float
)
|
SELECT * FROM table_train_187 WHERE diabetic = 'ii'
|
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] |
Which Game has a Score of 4 1?
|
CREATE TABLE table_name_47 (
game INTEGER,
score VARCHAR
)
|
SELECT SUM(game) FROM table_name_47 WHERE score = "4–1"
|
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Subsets and Splits
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