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2.21k
| SQL
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| input_ids
list | attention_mask
list | labels
list |
|---|---|---|---|---|---|
Which teams were in the central division and located in livonia?
|
CREATE TABLE table_11094950_1 (team VARCHAR, division VARCHAR, location VARCHAR)
|
SELECT team FROM table_11094950_1 WHERE division = "Central" AND location = "Livonia"
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What is in the Notes for Player Name Grella?
|
CREATE TABLE table_name_67 (
notes VARCHAR,
name VARCHAR
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SELECT notes FROM table_name_67 WHERE name = "grella"
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give me the number of patients whose primary disease is morbid obesity/sda and lab test fluid is cerebrospinal fluid (csf)?
|
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 procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.diagnosis = "MORBID OBESITY/SDA" AND lab.fluid = "Cerebrospinal Fluid (CSF)"
|
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What is the muzzle energy with 40,000 psi max pressure?
|
CREATE TABLE table_50171 (
"Cartridge" text,
"Bullet weight" text,
"Muzzle velocity" text,
"Muzzle energy" text,
"Max pressure" text
)
|
SELECT "Muzzle energy" FROM table_50171 WHERE "Max pressure" = '40,000 psi'
|
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How many districts first elected someone in 1808 and had george smith as the incumbent?
|
CREATE TABLE table_28920 (
"District" text,
"Incumbent" text,
"Party" text,
"First elected" text,
"Result" text,
"Candidates" text
)
|
SELECT COUNT("District") FROM table_28920 WHERE "First elected" = '1808' AND "Incumbent" = 'George Smith'
|
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
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-100,
-100,
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-100,
-100,
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-100,
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-100,
-100,
-100,
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-100,
-100,
-100,
-100,
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-100,
-100,
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-100,
-100,
-100,
-100
] |
How many courses are provided in each year? Visualize with a line chart, sort in descending by the x axis.
|
CREATE TABLE instructor (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
salary numeric(8,2)
)
CREATE TABLE section (
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0),
building varchar(15),
room_number varchar(7),
time_slot_id varchar(4)
)
CREATE TABLE prereq (
course_id varchar(8),
prereq_id varchar(8)
)
CREATE TABLE student (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
tot_cred numeric(3,0)
)
CREATE TABLE department (
dept_name varchar(20),
building varchar(15),
budget numeric(12,2)
)
CREATE TABLE classroom (
building varchar(15),
room_number varchar(7),
capacity numeric(4,0)
)
CREATE TABLE course (
course_id varchar(8),
title varchar(50),
dept_name varchar(20),
credits numeric(2,0)
)
CREATE TABLE advisor (
s_ID varchar(5),
i_ID varchar(5)
)
CREATE TABLE teaches (
ID varchar(5),
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0)
)
CREATE TABLE time_slot (
time_slot_id varchar(4),
day varchar(1),
start_hr numeric(2),
start_min numeric(2),
end_hr numeric(2),
end_min numeric(2)
)
CREATE TABLE takes (
ID varchar(5),
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0),
grade varchar(2)
)
|
SELECT year, COUNT(*) FROM section ORDER BY year DESC
|
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[
3,
23143,
14196,
215,
6,
2847,
17161,
599,
1935,
61,
21680,
1375,
4674,
11300,
272,
476,
215,
309,
25067,
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-100
] |
Which Year has a Runner(s)-up of tammie green?
|
CREATE TABLE table_name_71 (
year INTEGER,
runner_s__up VARCHAR
)
|
SELECT MIN(year) FROM table_name_71 WHERE runner_s__up = "tammie green"
|
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What's the average year for the name aida-wedo dorsa with a diameter less than 450?
|
CREATE TABLE table_46408 (
"Name" text,
"Latitude" text,
"Longitude" text,
"Diameter (km)" real,
"Year named" real
)
|
SELECT AVG("Year named") FROM table_46408 WHERE "Name" = 'aida-wedo dorsa' AND "Diameter (km)" < '450'
|
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What is the high 10 profile when high profile is 160?
|
CREATE TABLE table_237036_2 (
high_10_profile VARCHAR,
high_profile VARCHAR
)
|
SELECT high_10_profile FROM table_237036_2 WHERE high_profile = 160
|
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Find meter_500 and meter_100 , and visualize them by a bar chart, and list by the Y-axis in asc.
|
CREATE TABLE event (
ID int,
Name text,
Stadium_ID int,
Year text
)
CREATE TABLE swimmer (
ID int,
name text,
Nationality text,
meter_100 real,
meter_200 text,
meter_300 text,
meter_400 text,
meter_500 text,
meter_600 text,
meter_700 text,
Time text
)
CREATE TABLE record (
ID int,
Result text,
Swimmer_ID int,
Event_ID int
)
CREATE TABLE stadium (
ID int,
name text,
Capacity int,
City text,
Country text,
Opening_year int
)
|
SELECT meter_500, meter_100 FROM swimmer ORDER BY meter_100
|
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What is the value for Bahia when the Northeast total was 6747013?
|
CREATE TABLE table_name_97 (
bahia VARCHAR,
northeast_total VARCHAR
)
|
SELECT bahia FROM table_name_97 WHERE northeast_total = "6747013"
|
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What is the lowest wk 3 value with an n/r in wk 14, a wk 2 value of 7, and a wk 11 value greater than 18?
|
CREATE TABLE table_name_11 (
wk_3 INTEGER,
wk_11 VARCHAR,
wk_14 VARCHAR,
wk_2 VARCHAR
)
|
SELECT MIN(wk_3) FROM table_name_11 WHERE wk_14 = "n/r" AND wk_2 = 7 AND wk_11 > 18
|
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provide the number of patients whose age is less than 63 and drug name is pneumococcal vac polyvalent?
|
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 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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "63" AND prescriptions.drug = "PNEUMOcoccal Vac Polyvalent"
|
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Which FC match has a total of 24?
|
CREATE TABLE table_name_18 (
fc_matches VARCHAR,
total VARCHAR
)
|
SELECT fc_matches FROM table_name_18 WHERE total = "24"
|
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What stadium is in the city of Debrecen?
|
CREATE TABLE table_62237 (
"Club" text,
"Short name" text,
"City" text,
"Stadium" text,
"Capacity" real
)
|
SELECT "Stadium" FROM table_62237 WHERE "City" = 'debrecen'
|
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What is the number of climbers for each mountain? Show me a bar chart.
|
CREATE TABLE mountain (
Mountain_ID int,
Name text,
Height real,
Prominence real,
Range text,
Country text
)
CREATE TABLE climber (
Climber_ID int,
Name text,
Country text,
Time text,
Points real,
Mountain_ID int
)
|
SELECT T2.Name, COUNT(T2.Name) FROM climber AS T1 JOIN mountain AS T2 ON T1.Mountain_ID = T2.Mountain_ID GROUP BY T2.Name
|
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] |
What race after round 6 did Graham Rahal win with a pole position of graham rahal?
|
CREATE TABLE table_45446 (
"Round" real,
"Race Name" text,
"Pole position" text,
"Winning driver" text,
"Winning Team" text
)
|
SELECT "Race Name" FROM table_45446 WHERE "Winning driver" = 'graham rahal' AND "Round" > '6' AND "Pole position" = 'graham rahal'
|
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Who replaced on the date of appointment 2 november 2010?
|
CREATE TABLE table_26690 (
"Team" text,
"Outgoing manager" text,
"Manner of departure" text,
"Date of vacancy" text,
"Replaced by" text,
"Date of appointment" text,
"Position in table" text
)
|
SELECT "Replaced by" FROM table_26690 WHERE "Date of appointment" = '2 November 2010'
|
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What is Karen Handel polling at in the Insideradvantage poll where John Oxendine is at 15%?
|
CREATE TABLE table_name_78 (karen_handel VARCHAR, poll_source VARCHAR, john_oxendine VARCHAR)
|
SELECT karen_handel FROM table_name_78 WHERE poll_source = "insideradvantage" AND john_oxendine = "15%"
|
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Can you tell me the sum of Pick # that has the Position of sb, and the College of minnesota?
|
CREATE TABLE table_name_20 (pick__number INTEGER, position VARCHAR, college VARCHAR)
|
SELECT SUM(pick__number) FROM table_name_20 WHERE position = "sb" AND college = "minnesota"
|
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What is the number played for the Barcelona B club, with wins under 11?
|
CREATE TABLE table_name_2 (played INTEGER, club VARCHAR, wins VARCHAR)
|
SELECT SUM(played) FROM table_name_2 WHERE club = "barcelona b" AND wins < 11
|
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Which ERP W has a Frequency MHz of 88.5 FM?
|
CREATE TABLE table_75669 (
"Call sign" text,
"Frequency MHz" text,
"City of license" text,
"ERP W" text,
"FCC info" text
)
|
SELECT "ERP W" FROM table_75669 WHERE "Frequency MHz" = '88.5 fm'
|
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List the first name and last name of customers have the amount of outstanding between 1000 and 3000.
|
CREATE TABLE Customers (first_name VARCHAR, last_name VARCHAR, amount_outstanding INTEGER)
|
SELECT first_name, last_name FROM Customers WHERE amount_outstanding BETWEEN 1000 AND 3000
|
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How much Rank has a Tally of 0-10, and an Opposition of cork?
|
CREATE TABLE table_65919 (
"Rank" real,
"Player" text,
"County" text,
"Tally" text,
"Total" real,
"Opposition" text
)
|
SELECT COUNT("Rank") FROM table_65919 WHERE "Tally" = '0-10' AND "Opposition" = 'cork'
|
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Tell me the sum of bp 2nd comp with bp azeo of 57.5
|
CREATE TABLE table_name_33 (bp_2nd_comp__ INTEGER, bp_azeo__˚c_ VARCHAR)
|
SELECT SUM(bp_2nd_comp__) AS ˚c_ FROM table_name_33 WHERE bp_azeo__˚c_ = 57.5
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Which College has a Round smaller than 2?
|
CREATE TABLE table_51068 (
"Round" real,
"Pick" real,
"Player" text,
"Position" text,
"College" text
)
|
SELECT "College" FROM table_51068 WHERE "Round" < '2'
|
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What was the highest win when there were more than 64 goals scored and a position smaller than 2?
|
CREATE TABLE table_name_87 (
wins INTEGER,
goals_scored VARCHAR,
position VARCHAR
)
|
SELECT MAX(wins) FROM table_name_87 WHERE goals_scored > 64 AND position < 2
|
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Who are all the players with 156 rebounds?
|
CREATE TABLE table_22824199_1 (player VARCHAR, rebounds VARCHAR)
|
SELECT player FROM table_22824199_1 WHERE rebounds = 156
|
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What is the total number of Wins, when Points is less than 1?
|
CREATE TABLE table_name_17 (
wins VARCHAR,
points INTEGER
)
|
SELECT COUNT(wins) FROM table_name_17 WHERE points < 1
|
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What is the minimum capacity of Dundee United's stadium?
|
CREATE TABLE table_11208143_9 (capacity INTEGER, team VARCHAR)
|
SELECT MIN(capacity) FROM table_11208143_9 WHERE team = "Dundee United"
|
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who ranked right after turkey ?
|
CREATE TABLE table_203_812 (
id number,
"rank" number,
"nation" text,
"gold" number,
"silver" number,
"bronze" number,
"total" number
)
|
SELECT "nation" FROM table_203_812 WHERE "rank" = (SELECT "rank" FROM table_203_812 WHERE "nation" = 'turkey') + 1
|
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what skipper has the sail number aus60000?
|
CREATE TABLE table_25561560_2 (
skipper VARCHAR,
sail_number VARCHAR
)
|
SELECT skipper FROM table_25561560_2 WHERE sail_number = "AUS60000"
|
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Name the tour when mens singles is chen jin and womens doubles is zhang yawen zhao tingting
|
CREATE TABLE table_14496232_2 (tour VARCHAR, mens_singles VARCHAR, womens_doubles VARCHAR)
|
SELECT tour FROM table_14496232_2 WHERE mens_singles = "Chen Jin" AND womens_doubles = "Zhang Yawen Zhao Tingting"
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What was the score against andrei pavel?
|
CREATE TABLE table_71572 (
"Date" text,
"Tournament" text,
"Surface" text,
"Opponent" text,
"Score" text
)
|
SELECT "Score" FROM table_71572 WHERE "Opponent" = 'andrei pavel'
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] |
What is the sum of gold medals with a total of 12 medals and less than 4 bronze medals?
|
CREATE TABLE table_69393 (
"Rank" text,
"Gold" real,
"Silver" real,
"Bronze" real,
"Total" real
)
|
SELECT SUM("Gold") FROM table_69393 WHERE "Total" = '12' AND "Bronze" < '4'
|
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What is the sequence length (aa) of the protein with the common name Purple Sea Urchin and a divergence from human lineage less than 742.9?
|
CREATE TABLE table_name_67 (
sequence_length__aa_ INTEGER,
common_name VARCHAR,
divergence_from_human_lineage__mya_ VARCHAR
)
|
SELECT SUM(sequence_length__aa_) FROM table_name_67 WHERE common_name = "purple sea urchin" AND divergence_from_human_lineage__mya_ < 742.9
|
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What is the average number of laps that has a Time/Retired of +1 lap, a Driver of olivier panis, and a Grid larger than 4?
|
CREATE TABLE table_name_70 (laps INTEGER, grid VARCHAR, time_retired VARCHAR, driver VARCHAR)
|
SELECT AVG(laps) FROM table_name_70 WHERE time_retired = "+1 lap" AND driver = "olivier panis" AND grid > 4
|
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Show the average salary by each hire date of employees, and please bin the hire date into the Month interval for showing a bar chart, rank by the Y-axis 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 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 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)
)
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 jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
|
SELECT HIRE_DATE, AVG(SALARY) FROM employees ORDER BY AVG(SALARY)
|
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What was the transfer fee for the summer transfer involving the SCO named Crainey?
|
CREATE TABLE table_name_83 (transfer_fee VARCHAR, name VARCHAR, transfer_window VARCHAR, country VARCHAR)
|
SELECT transfer_fee FROM table_name_83 WHERE transfer_window = "summer" AND country = "sco" AND name = "crainey"
|
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What was the earliest year that had more than 105,579 flying hours and a seat factor of 68%?
|
CREATE TABLE table_name_41 (year INTEGER, seat_factor VARCHAR, flying_hours VARCHAR)
|
SELECT MIN(year) FROM table_name_41 WHERE seat_factor = "68%" AND flying_hours > 105 OFFSET 579
|
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what is primary disease and admission time of subject name jennifer fulgham?
|
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
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT demographic.diagnosis, demographic.admittime FROM demographic WHERE demographic.name = "Jennifer Fulgham"
|
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What is the largest amount of floors in the 70m (233ft) Tupper building (educational)?
|
CREATE TABLE table_name_11 (floors INTEGER, height VARCHAR, building VARCHAR)
|
SELECT MAX(floors) FROM table_name_11 WHERE height = "70m (233ft)" AND building = "tupper building (educational)"
|
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In how many networks the local name of the franchise was 'in sickness and in health'?
|
CREATE TABLE table_17682 (
"Region/Country" text,
"Local name" text,
"Network" text,
"Dates aired" text,
"Starring" text
)
|
SELECT COUNT("Network") FROM table_17682 WHERE "Local name" = 'In Sickness and in Health'
|
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what is the maximum age of male patients whose marital status is widowed?
|
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 procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
|
SELECT MAX(demographic.age) FROM demographic WHERE demographic.marital_status = "WIDOWED" AND demographic.gender = "F"
|
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how many of the patients belonging to black/cape verdean ethnic origin remained admitted in hospital for more than 10 days?
|
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "BLACK/CAPE VERDEAN" AND demographic.days_stay > "10"
|
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In which city is the network with the callsign kgns-dt3 licensed?
|
CREATE TABLE table_35511 (
"Dish" text,
"Callsign" text,
"Network" text,
"Resolution" text,
"City of License" text,
"Official Website" text
)
|
SELECT "City of License" FROM table_35511 WHERE "Callsign" = 'kgns-dt3'
|
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give me the number of patients whose primary disease is ruq pain and age is less than 27?
|
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 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
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "RUQ PAIN" AND demographic.age < "27"
|
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Who is the Second with Nikolina Petric as Third?
|
CREATE TABLE table_name_41 (
second VARCHAR,
third VARCHAR
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SELECT second FROM table_name_41 WHERE third = "nikolina petric"
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What is the height of Patrick Femerling, of the Alba Berlin club?
|
CREATE TABLE table_name_36 (height VARCHAR, current_club VARCHAR, player VARCHAR)
|
SELECT COUNT(height) FROM table_name_36 WHERE current_club = "alba berlin" AND player = "patrick femerling"
|
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How many regional seats were there with the SNP party and where the number of total seats was bigger than 46?
|
CREATE TABLE table_name_77 (regional_seats VARCHAR, party VARCHAR, total_seats VARCHAR)
|
SELECT COUNT(regional_seats) FROM table_name_77 WHERE party = "snp" AND total_seats > 46
|
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When the launch date is 14.09.2005, and the frequency is 900mhz and 1800mhz, how many carriers are there?
|
CREATE TABLE table_19246_1 (
carrier VARCHAR,
frequency VARCHAR,
launch_date__ddmmyyyy_ VARCHAR
)
|
SELECT COUNT(carrier) FROM table_19246_1 WHERE frequency = "900MHz and 1800MHz" AND launch_date__ddmmyyyy_ = "14.09.2005"
|
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What is the result of the directorial debut of the year award?
|
CREATE TABLE table_14686 (
"Year" real,
"Award" text,
"Category" text,
"Motive" text,
"Result" text
)
|
SELECT "Result" FROM table_14686 WHERE "Category" = 'directorial debut of the year'
|
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give me the number of patients whose gender is f and item id is 51352?
|
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.gender = "F" AND lab.itemid = "51352"
|
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How many points did Joe O'Meara have?
|
CREATE TABLE table_name_93 (
points VARCHAR,
artist VARCHAR
)
|
SELECT COUNT(points) FROM table_name_93 WHERE artist = "joe o'meara"
|
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how many courts are clay ?
|
CREATE TABLE table_204_287 (
id number,
"outcome" text,
"no." number,
"date" number,
"championship" text,
"surface" text,
"opponent in the final" text,
"score in the final" text
)
|
SELECT COUNT(*) FROM table_204_287 WHERE "surface" = 'clay'
|
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give me the number of patients whose ethnicity is hispanic or latino and days of hospital stay is greater than 17?
|
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
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "HISPANIC OR LATINO" AND demographic.days_stay > "17"
|
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Bar chart x axis type y axis total number of enrollment, and could you sort bars in asc order?
|
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
)
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
)
|
SELECT Type, SUM(Enrollment) FROM Institution GROUP BY Type ORDER BY Type
|
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What was spain's score?
|
CREATE TABLE table_50699 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" text,
"Money ( $ )" real
)
|
SELECT "Score" FROM table_50699 WHERE "Country" = 'spain'
|
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Which School/Club Team did Andre Wakefield play for?
|
CREATE TABLE table_51727 (
"Player" text,
"Nationality" text,
"Position" text,
"Years for Jazz" text,
"School/Club Team" text
)
|
SELECT "School/Club Team" FROM table_51727 WHERE "Player" = 'andre wakefield'
|
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list the patient ids of the patients that were diagnosed with fever in 2103.
|
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime 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 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 vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
|
SELECT patient.uniquepid FROM patient WHERE patient.patientunitstayid IN (SELECT diagnosis.patientunitstayid FROM diagnosis WHERE diagnosis.diagnosisname = 'fever' AND STRFTIME('%y', diagnosis.diagnosistime) = '2103')
|
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What was the Partner on February 23, 1997?
|
CREATE TABLE table_name_91 (
partner VARCHAR,
date VARCHAR
)
|
SELECT partner FROM table_name_91 WHERE date = "february 23, 1997"
|
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how many mean elevation with lowest point being gulf of mexico and state being texas
|
CREATE TABLE table_19165 (
"State" text,
"Highest point" text,
"Highest elevation" text,
"Lowest point" text,
"Lowest elevation" text,
"Mean elevation" text
)
|
SELECT COUNT("Mean elevation") FROM table_19165 WHERE "Lowest point" = 'Gulf of Mexico' AND "State" = 'Texas'
|
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Which Liberal leader has Seats won smaller than 100, and Seats in House of 215, and a % of popular vote of 43.1%?
|
CREATE TABLE table_35582 (
"Year" text,
"Seats in House" real,
"Liberal candidates" real,
"Seats won" real,
"Seat Change" text,
"Popular vote" real,
"% of popular vote" text,
"Result" text,
"Liberal leader" text
)
|
SELECT "Liberal leader" FROM table_35582 WHERE "Seats won" < '100' AND "Seats in House" = '215' AND "% of popular vote" = '43.1%'
|
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What is the average Money ( $ ), when Score is '69-69-76-69=283'?
|
CREATE TABLE table_name_74 (
money___ INTEGER,
score VARCHAR
)
|
SELECT AVG(money___) AS $__ FROM table_name_74 WHERE score = 69 - 69 - 76 - 69 = 283
|
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Show the number of the countries that have managers of age above 50 or below 46.
|
CREATE TABLE train (
Train_ID int,
Train_Num text,
Name text,
From text,
Arrival text,
Railway_ID int
)
CREATE TABLE railway (
Railway_ID int,
Railway text,
Builder text,
Built text,
Wheels text,
Location text,
ObjectNumber text
)
CREATE TABLE railway_manage (
Railway_ID int,
Manager_ID int,
From_Year text
)
CREATE TABLE manager (
Manager_ID int,
Name text,
Country text,
Working_year_starts text,
Age int,
Level int
)
|
SELECT Country, COUNT(Country) FROM manager WHERE Age > 50 OR Age < 46 GROUP BY Country
|
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Where is the partially deleted site of fibers public supply wells located?
|
CREATE TABLE table_name_65 (partially_deleted VARCHAR, name VARCHAR)
|
SELECT partially_deleted FROM table_name_65 WHERE name = "fibers public supply wells"
|
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What date was the score 29-7?
|
CREATE TABLE table_name_28 (date VARCHAR, score VARCHAR)
|
SELECT date FROM table_name_28 WHERE score = "29-7"
|
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Which language has the percentage of 2.54?
|
CREATE TABLE table_name_8 (
language VARCHAR,
percentage___percentage_ VARCHAR
)
|
SELECT language FROM table_name_8 WHERE percentage___percentage_ = "2.54"
|
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What is Date, when Opposing Teams is 'Australia', and when Venue is 'Twickenham , London'?
|
CREATE TABLE table_79080 (
"Opposing Teams" text,
"Against" real,
"Date" text,
"Venue" text,
"Status" text
)
|
SELECT "Date" FROM table_79080 WHERE "Opposing Teams" = 'australia' AND "Venue" = 'twickenham , london'
|
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What is the Runner-up with the tier was tier ii, and a Winner of gigi fern ndez natalia zvereva 5 7, 6 1, 6 4?
|
CREATE TABLE table_40290 (
"Week of" text,
"Tier" text,
"Winner" text,
"Runner-up" text,
"Semi finalists" text
)
|
SELECT "Runner-up" FROM table_40290 WHERE "Tier" = 'tier ii' AND "Winner" = 'gigi fernández natalia zvereva 5–7, 6–1, 6–4'
|
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Date of november 3, 2008 had what score?
|
CREATE TABLE table_35383 (
"Date" text,
"Tournament" text,
"Surface" text,
"Partnering" text,
"Opponents" text,
"Score" text
)
|
SELECT "Score" FROM table_35383 WHERE "Date" = 'november 3, 2008'
|
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When hittite old kingdom , minoan eruption is the ubaid period in mesopotamia what is the copper age?
|
CREATE TABLE table_23537091_1 (
copper_age VARCHAR,
ubaid_period_in_mesopotamia VARCHAR
)
|
SELECT copper_age FROM table_23537091_1 WHERE ubaid_period_in_mesopotamia = "Hittite Old Kingdom , Minoan eruption"
|
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What district does the road with a MDR number of 47 pass through?
|
CREATE TABLE table_28272 (
"Sr. No." real,
"Name of Road" text,
"Passes Through - District(s" text,
"Length (in km)" text,
"MDR No." real
)
|
SELECT "Passes Through - District(s" FROM table_28272 WHERE "MDR No." = '47'
|
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how many bishops per adherent in serbia ?
|
CREATE TABLE table_204_284 (
id number,
"jurisdiction" text,
"adherents" number,
"bishops" number,
"priests" number,
"monastics" number,
"monasteries" number,
"parishes" number
)
|
SELECT "bishops" / "adherents" FROM table_204_284 WHERE "jurisdiction" = 'serbia'
|
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What is the location of the b.c. open?
|
CREATE TABLE table_36071 (
"Date" text,
"Tournament" text,
"Location" text,
"Winner" text,
"Score" text,
"1st prize ( $ )" text
)
|
SELECT "Location" FROM table_36071 WHERE "Tournament" = 'b.c. open'
|
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give me the number of patients whose admission type is emergency and procedure long title is injection or infusion of platelet inhibitor?
|
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
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 = "Injection or infusion of platelet inhibitor"
|
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What is the Score when the winner was sanyo wild knights, and a Runner-up of suntory sungoliath?
|
CREATE TABLE table_76145 (
"Title" text,
"Season" text,
"Winner" text,
"Score" text,
"Runner-up" text,
"Venue" text,
"Attendance" text
)
|
SELECT "Score" FROM table_76145 WHERE "Winner" = 'sanyo wild knights' AND "Runner-up" = 'suntory sungoliath'
|
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What is the score when the date is December 14, 1985?
|
CREATE TABLE table_name_98 (score VARCHAR, date VARCHAR)
|
SELECT score FROM table_name_98 WHERE date = "december 14, 1985"
|
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For those records from the products and each product's manufacturer, give me the comparison about the average of code over the name , and group by attribute name, and show y axis in asc 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 T2.Name, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name ORDER BY T1.Code
|
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who timed in after shelley cramer ?
|
CREATE TABLE table_204_41 (
id number,
"rank" number,
"name" text,
"nationality" text,
"time" text,
"notes" text
)
|
SELECT "name" FROM table_204_41 WHERE "time" > (SELECT "time" FROM table_204_41 WHERE "name" = 'shelley cramer') ORDER BY "time" LIMIT 1
|
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what is the number of patients with angioedema primary disease who were discharged to skilled nursing facility?
|
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
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 = "SNF" AND demographic.diagnosis = "ANGIOEDEMA"
|
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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, visualize a bar chart about the distribution of hire_date and the sum of manager_id bin hire_date by weekday, order Y in desc order please.
|
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 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 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)
)
|
SELECT HIRE_DATE, SUM(MANAGER_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 ORDER BY SUM(MANAGER_ID) DESC
|
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find the number of urgent hospital admission patients who have poison-psychotropic agent diagnoses.
|
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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_type = "URGENT" AND diagnoses.short_title = "Poison-psychotropic agt"
|
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Which opponent has a Season of 2010/11?
|
CREATE TABLE table_name_7 (opponent VARCHAR, season VARCHAR)
|
SELECT opponent FROM table_name_7 WHERE season = "2010/11"
|
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Most populous city/town of clonmel, and a Irish name of tiobraid rann (contae thiobraid rann) is which region?
|
CREATE TABLE table_37791 (
"County" text,
"Irish name" text,
"County town" text,
"Most populous city/town" text,
"Province" text,
"Region" text
)
|
SELECT "Region" FROM table_37791 WHERE "Most populous city/town" = 'clonmel' AND "Irish name" = 'tiobraid árann (contae thiobraid árann)'
|
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What is the percent for when against prohibition is 2978?
|
CREATE TABLE table_17411 (
"Jurisdiction" text,
"For Prohibition" real,
"Percent For" text,
"Against Prohibition" real,
"Percent Against" text
)
|
SELECT "Percent For" FROM table_17411 WHERE "Against Prohibition" = '2978'
|
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Which challenge loser has a Challenge Winner of roseny?
|
CREATE TABLE table_name_81 (
challenge_loser VARCHAR,
challenge_winner VARCHAR
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|
SELECT challenge_loser FROM table_name_81 WHERE challenge_winner = "roseny"
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What Edition had a Result of 6-3, 6-0, 6-2?
|
CREATE TABLE table_name_45 (
edition VARCHAR,
result VARCHAR
)
|
SELECT edition FROM table_name_45 WHERE result = "6-3, 6-0, 6-2"
|
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What was the score for t9 place for Harold Mcspaden?
|
CREATE TABLE table_78650 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To Par" real,
"Money ( $ )" text
)
|
SELECT "Score" FROM table_78650 WHERE "Place" = 't9' AND "Player" = 'harold mcspaden'
|
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Which railway has a class of 250 and year 1936?
|
CREATE TABLE table_name_76 (railway VARCHAR, class VARCHAR, year VARCHAR)
|
SELECT railway FROM table_name_76 WHERE class = "250" AND year = "1936"
|
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How many faculty lines are there at San Francisco State University in 2004?
|
CREATE TABLE enrollments (
campus number,
year number,
totalenrollment_ay number,
fte_ay number
)
CREATE TABLE campuses (
id number,
campus text,
location text,
county text,
year number
)
CREATE TABLE discipline_enrollments (
campus number,
discipline number,
year number,
undergraduate number,
graduate number
)
CREATE TABLE csu_fees (
campus number,
year number,
campusfee number
)
CREATE TABLE degrees (
year number,
campus number,
degrees number
)
CREATE TABLE faculty (
campus number,
year number,
faculty number
)
|
SELECT faculty FROM faculty AS T1 JOIN campuses AS T2 ON T1.campus = T2.id WHERE T1.year = 2004 AND T2.campus = "San Francisco State University"
|
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What Binibining Pilipinas-International has a Year of 1975?
|
CREATE TABLE table_name_2 (binibining_pilipinas_international VARCHAR, year VARCHAR)
|
SELECT binibining_pilipinas_international FROM table_name_2 WHERE year = 1975
|
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When Cancelable of yes, and a Type of drag, what was the Category?
|
CREATE TABLE table_name_72 (category VARCHAR, cancelable VARCHAR, type VARCHAR)
|
SELECT category FROM table_name_72 WHERE cancelable = "yes" AND type = "drag"
|
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What is the total number of people who could stay in the modern rooms in this inn?
|
CREATE TABLE rooms (
roomid text,
roomname text,
beds number,
bedtype text,
maxoccupancy number,
baseprice number,
decor text
)
CREATE TABLE reservations (
code number,
room text,
checkin text,
checkout text,
rate number,
lastname text,
firstname text,
adults number,
kids number
)
|
SELECT SUM(maxoccupancy) FROM rooms WHERE decor = 'modern'
|
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What team does Lee Palmer play for?
|
CREATE TABLE table_2085 (
"Pick #" real,
"Player" text,
"Position" text,
"Nationality" text,
"NHL team" text,
"College/junior/club team" text
)
|
SELECT "College/junior/club team" FROM table_2085 WHERE "Player" = 'Lee Palmer'
|
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Show the names and ids of tourist attractions that are visited at least two times.
|
CREATE TABLE tourist_attraction_features (
tourist_attraction_id number,
feature_id number
)
CREATE TABLE visits (
visit_id number,
tourist_attraction_id number,
tourist_id number,
visit_date time,
visit_details text
)
CREATE TABLE visitors (
tourist_id number,
tourist_details text
)
CREATE TABLE locations (
location_id number,
location_name text,
address text,
other_details text
)
CREATE TABLE tourist_attractions (
tourist_attraction_id number,
attraction_type_code text,
location_id number,
how_to_get_there text,
name text,
description text,
opening_hours text,
other_details text
)
CREATE TABLE ref_attraction_types (
attraction_type_code text,
attraction_type_description text
)
CREATE TABLE museums (
museum_id number,
museum_details text
)
CREATE TABLE features (
feature_id number,
feature_details text
)
CREATE TABLE street_markets (
market_id number,
market_details text
)
CREATE TABLE photos (
photo_id number,
tourist_attraction_id number,
name text,
description text,
filename text,
other_details text
)
CREATE TABLE hotels (
hotel_id number,
star_rating_code text,
pets_allowed_yn text,
price_range number,
other_hotel_details text
)
CREATE TABLE staff (
staff_id number,
tourist_attraction_id number,
name text,
other_details text
)
CREATE TABLE royal_family (
royal_family_id number,
royal_family_details text
)
CREATE TABLE ref_hotel_star_ratings (
star_rating_code text,
star_rating_description text
)
CREATE TABLE theme_parks (
theme_park_id number,
theme_park_details text
)
CREATE TABLE shops (
shop_id number,
shop_details text
)
|
SELECT T1.name, T2.tourist_attraction_id FROM tourist_attractions AS T1 JOIN visits AS T2 ON T1.tourist_attraction_id = T2.tourist_attraction_id GROUP BY T2.tourist_attraction_id HAVING COUNT(*) >= 2
|
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How many inpatient hospital admission patients were ordered a csf fluid 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 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 INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_location = "TRSF WITHIN THIS FACILITY" AND lab.fluid = "Cerebrospinal Fluid (CSF)"
|
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how many different men held the wsl title before horshu won his first wsl title ?
|
CREATE TABLE table_204_684 (
id number,
"wrestler:" text,
"times:" number,
"date:" text,
"location:" text,
"notes:" text
)
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SELECT COUNT(DISTINCT "wrestler:") FROM table_204_684 WHERE "date:" < (SELECT "date:" FROM table_204_684 WHERE "wrestler:" = 'horshu')
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Who was champion in 2005 where the semi-finalist was #1 in western Carolina?
|
CREATE TABLE table_name_36 (champion VARCHAR, year VARCHAR, semi_finalist__number1 VARCHAR)
|
SELECT champion FROM table_name_36 WHERE year = 2005 AND semi_finalist__number1 = "western carolina"
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If torque is n·m (lb·ft) @1600–2400 rpm and applications is 2000 w90x sprinter, what is the power?
|
CREATE TABLE table_21021796_1 (power VARCHAR, torque VARCHAR, applications VARCHAR)
|
SELECT power FROM table_21021796_1 WHERE torque = "N·m (lb·ft) @1600–2400 rpm" AND applications = "2000 W90x Sprinter"
|
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