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| input_ids
sequence | attention_mask
sequence | labels
sequence |
|---|---|---|---|---|---|
How many storms occured in each region Visualize by bar chart, and show bars from low to high order. | CREATE TABLE region (
Region_id int,
Region_code text,
Region_name text
)
CREATE TABLE storm (
Storm_ID int,
Name text,
Dates_active text,
Max_speed int,
Damage_millions_USD real,
Number_Deaths int
)
CREATE TABLE affected_region (
Region_id int,
Storm_ID int,
Number_city_affected real
) | SELECT Region_name, COUNT(*) FROM region AS T1 JOIN affected_region AS T2 ON T1.Region_id = T2.Region_id GROUP BY T1.Region_id ORDER BY Region_name | [
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What was the score when Calgary was visiting team and Niittymaki had the decision? | CREATE TABLE table_name_78 (
score VARCHAR,
decision VARCHAR,
visitor VARCHAR
) | SELECT score FROM table_name_78 WHERE decision = "niittymaki" AND visitor = "calgary" | [
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how many games were played at the prudential center ? | CREATE TABLE table_203_410 (
id number,
"game" number,
"date" text,
"opponent" text,
"location" text,
"score" text,
"attendance" number,
"record" text
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Name the highest goals for youth system and ita | CREATE TABLE table_name_7 (goals INTEGER, nat VARCHAR, transfer_fee VARCHAR) | SELECT MAX(goals) FROM table_name_7 WHERE nat = "ita" AND transfer_fee = "youth system" | [
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long_title text
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CREATE TABLE prescriptions (
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drug_type text,
drug text,
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route text,
drug_dose text
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CREATE TABLE demographic (
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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,
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CREATE TABLE lab (
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itemid text,
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CREATE TABLE procedures (
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icd9_code text,
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long_title text
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What is Score, when Player is 'Vijay Singh'? | CREATE TABLE table_name_81 (
score VARCHAR,
player VARCHAR
) | SELECT score FROM table_name_81 WHERE player = "vijay singh" | [
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how many entrepreneurs correspond to each investor?, show from high to low by the bars please. | CREATE TABLE entrepreneur (
Entrepreneur_ID int,
People_ID int,
Company text,
Money_Requested real,
Investor text
)
CREATE TABLE people (
People_ID int,
Name text,
Height real,
Weight real,
Date_of_Birth text
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what is the maximum age of patients that survived in or above the age 72? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
) | SELECT MAX(demographic.age) FROM demographic WHERE demographic.expire_flag = "0" AND demographic.age >= "72" | [
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Name the total number of air dates for 05 cycle | CREATE TABLE table_21176 (
"Cycle no." text,
"Air dates" text,
"Reward" text,
"Immunity" text,
"Eliminated" text,
"Vote" text,
"Finish" text
) | SELECT COUNT("Air dates") FROM table_21176 WHERE "Cycle no." = '05' | [
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Which competition features the 1st round of Club Union Luxembourg? | CREATE TABLE table_name_58 (competition VARCHAR, round VARCHAR, club VARCHAR) | SELECT competition FROM table_name_58 WHERE round = "1st round" AND club = "union luxembourg" | [
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subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
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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
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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
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CREATE TABLE procedures (
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hadm_id text,
icd9_code text,
short_title text,
long_title text
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What rank did actor Aaron Pedersen's character have? | CREATE TABLE table_4556 (
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How many patients are with white Russian ethnicity and admission year before 2154? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE 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
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For a total of 1 and the sport of softball what were the years? | CREATE TABLE table_name_93 (years VARCHAR, total VARCHAR, sport VARCHAR) | SELECT years FROM table_name_93 WHERE total = "1" AND sport = "softball" | [
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Return a bar chart about the distribution of Time and meter_100 , and I want to rank in asc by the x axis. | CREATE TABLE record (
ID int,
Result text,
Swimmer_ID int,
Event_ID int
)
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 stadium (
ID int,
name text,
Capacity int,
City text,
Country text,
Opening_year int
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What is the point average for the game that has FGM-FGA of 11-28 and a number smaller than 7? | CREATE TABLE table_name_48 (points INTEGER, fgm___fga VARCHAR, number VARCHAR) | SELECT AVG(points) FROM table_name_48 WHERE fgm___fga = "11-28" AND number < 7 | [
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id int,
camera_lens_id int,
mountain_id int,
color text,
name text
)
CREATE TABLE camera_lens (
id int,
brand text,
name text,
focal_length_mm real,
max_aperture real
)
CREATE TABLE mountain (
id int,
name text,
Height real,
Prominence real,
Range text,
Country text
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Tell me the sum of interview for evening gown more than 8.37 and average of 8.363 | CREATE TABLE table_name_57 (interview INTEGER, average VARCHAR, evening_gown VARCHAR) | SELECT SUM(interview) FROM table_name_57 WHERE average = 8.363 AND evening_gown > 8.37 | [
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If the place is smaller than 8 and they played more than 18, what is the total number of goals conceded? | CREATE TABLE table_name_54 (goals_conceded VARCHAR, place VARCHAR, played VARCHAR) | SELECT COUNT(goals_conceded) FROM table_name_54 WHERE place < 8 AND played > 18 | [
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date VARCHAR,
grand_prix VARCHAR
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Give the number of patients whose primary disease is overdose and died in or before year 2168. | 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
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CREATE TABLE procedures (
subject_id text,
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CREATE TABLE diagnoses (
subject_id text,
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short_title text,
long_title text
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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,
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count the number of patients whose death status is 1 and diagnoses icd9 code is 2864. | 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.expire_flag = "1" AND diagnoses.icd9_code = "2864" | [
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Name the least track with song of little sister | CREATE TABLE table_name_67 (track INTEGER, song_title VARCHAR) | SELECT MIN(track) FROM table_name_67 WHERE song_title = "little sister" | [
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Which date did South Melbourne play as the away team? | CREATE TABLE table_name_74 (
date VARCHAR,
away_team VARCHAR
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country VARCHAR
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what is the minimum total with kerry % being 16.71% | CREATE TABLE table_829 (
"County" text,
"Bush #" real,
"Bush %" text,
"Kerry #" real,
"Kerry %" text,
"Others #" real,
"Others %" text,
"Total" real
) | SELECT MIN("Total") FROM table_829 WHERE "Kerry %" = '16.71%' | [
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give me the number of patients whose gender is m and item id is 51146? | 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 procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.gender = "M" AND lab.itemid = "51146" | [
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how many patients whose year of birth is less than 2074 and drug name is oxycodone-acetaminophen? | 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
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CREATE TABLE procedures (
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hadm_id text,
icd9_code text,
short_title text,
long_title text
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CREATE TABLE demographic (
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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
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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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.dob_year < "2074" AND prescriptions.drug = "Oxycodone-Acetaminophen" | [
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Tell me the total number of top 25 for wins less than 1 and cuts made of 22 | CREATE TABLE table_74502 (
"Tournament" text,
"Wins" real,
"Top-5" real,
"Top-10" real,
"Top-25" real,
"Events" real,
"Cuts made" real
) | SELECT COUNT("Top-25") FROM table_74502 WHERE "Cuts made" = '22' AND "Wins" < '1' | [
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Bar graph to show minimal room count from different apt type code, and sort X in asc order. | CREATE TABLE Apartment_Bookings (
apt_booking_id INTEGER,
apt_id INTEGER,
guest_id INTEGER,
booking_status_code CHAR(15),
booking_start_date DATETIME,
booking_end_date DATETIME
)
CREATE TABLE Guests (
guest_id INTEGER,
gender_code CHAR(1),
guest_first_name VARCHAR(80),
guest_last_name VARCHAR(80),
date_of_birth DATETIME
)
CREATE TABLE Apartment_Facilities (
apt_id INTEGER,
facility_code CHAR(15)
)
CREATE TABLE Apartment_Buildings (
building_id INTEGER,
building_short_name CHAR(15),
building_full_name VARCHAR(80),
building_description VARCHAR(255),
building_address VARCHAR(255),
building_manager VARCHAR(50),
building_phone VARCHAR(80)
)
CREATE TABLE Apartments (
apt_id INTEGER,
building_id INTEGER,
apt_type_code CHAR(15),
apt_number CHAR(10),
bathroom_count INTEGER,
bedroom_count INTEGER,
room_count CHAR(5)
)
CREATE TABLE View_Unit_Status (
apt_id INTEGER,
apt_booking_id INTEGER,
status_date DATETIME,
available_yn BIT
) | SELECT apt_type_code, MIN(room_count) FROM Apartments GROUP BY apt_type_code ORDER BY apt_type_code | [
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What is the chassis after 1991? | CREATE TABLE table_name_64 (
chassis VARCHAR,
year INTEGER
) | SELECT chassis FROM table_name_64 WHERE year > 1991 | [
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which region has the most population ? | CREATE TABLE table_201_11 (
id number,
"region" text,
"population" number,
"area" text,
"density" text
) | SELECT "region" FROM table_201_11 ORDER BY "population" DESC LIMIT 1 | [
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what is the total number of games lost during the month of april ? | CREATE TABLE table_203_534 (
id number,
"week" number,
"date" text,
"opponent" text,
"home/away" text,
"result" text,
"bye" text
) | SELECT COUNT(*) FROM table_203_534 WHERE "result" = 'l' AND "date" = 4 | [
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"Episode #" real,
"Season #" real,
"Title" text,
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"Original airdate" text,
"Production code #" real
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what is the circuit when the date is 16 april? | CREATE TABLE table_45416 (
"Race Title" text,
"Circuit" text,
"City / State" text,
"Date" text,
"Winner" text,
"Team" text
) | SELECT "Circuit" FROM table_45416 WHERE "Date" = '16 april' | [
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What is the Ethernet port count of the whr-hp-g300n model? | CREATE TABLE table_name_72 (
ethernet_port_count VARCHAR,
model VARCHAR
) | SELECT ethernet_port_count FROM table_name_72 WHERE model = "whr-hp-g300n" | [
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county VARCHAR
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How many forced fumbles for jim laney with under 2 solo tackles? | CREATE TABLE table_72058 (
"Player" text,
"Solo" real,
"Total" real,
"Sacks" text,
"Fumble force" real,
"Fumble rec" real
) | SELECT COUNT("Fumble force") FROM table_72058 WHERE "Solo" < '2' AND "Player" = 'jim laney' | [
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Tell me the lost with tie of 0 and drawn of 47 | CREATE TABLE table_name_20 (
lost VARCHAR,
tied VARCHAR,
drawn VARCHAR
) | SELECT lost FROM table_name_20 WHERE tied = "0" AND drawn = "47" | [
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id number,
"name in english" text,
"name in turkish" text,
"area (km2)" text,
"depth" text,
"location (districts and/or provinces)" text
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What year was the main role a character named Guan Yu ( )? | CREATE TABLE table_64303 (
"Year" real,
"Chinese Title" text,
"English" text,
"Role" text,
"Character" text
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What was the highest vote number for Bush? | CREATE TABLE table_21807 (
"County" text,
"Kerry%" text,
"Kerry#" real,
"Bush%" text,
"Bush#" real,
"Others%" text,
"Others#" real,
"2000 result" text
) | SELECT MAX("Bush#") FROM table_21807 | [
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"Skip" text,
"Third" text,
"Second" text,
"Lead" text
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What is Alexandr Elke's Weight? | CREATE TABLE table_59871 (
"Name" text,
"Pos." text,
"Height" text,
"Weight" text,
"Date of Birth" text,
"Club" text
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provide the number of patients whose days of hospital stay is greater than 15 and item id is 50904? | 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
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.days_stay > "15" AND lab.itemid = "50904" | [
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Name the number of panelists for oat of cash wearing celebrity being matt di angelo | CREATE TABLE table_72737 (
"Episode Number" real,
"Air Date" text,
"Guest Host" text,
"Musical Guest (Song performed)" text,
"Who knows the most about the guest host? Panelists" text,
"Coat Of Cash Wearing Celebrity" text
) | SELECT COUNT("Who knows the most about the guest host? Panelists") FROM table_72737 WHERE "Coat Of Cash Wearing Celebrity" = 'Matt Di Angelo' | [
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What is HDTV, when Television service is cartello promozionale sky hd? | CREATE TABLE table_7181 (
"Television service" text,
"Country" text,
"Language" text,
"Content" text,
"HDTV" text,
"Package/Option" text
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What was the highest pick number for the Hamilton tiger-cats? | CREATE TABLE table_name_13 (pick__number INTEGER, cfl_team VARCHAR) | SELECT MAX(pick__number) FROM table_name_13 WHERE cfl_team = "hamilton tiger-cats" | [
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time VARCHAR
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List the problem id and log id which are assigned to the staff named Rylan Homenick. Plot them as scatter chart. | CREATE TABLE Staff (
staff_id INTEGER,
staff_first_name VARCHAR(80),
staff_last_name VARCHAR(80),
other_staff_details VARCHAR(255)
)
CREATE TABLE Problem_Category_Codes (
problem_category_code VARCHAR(20),
problem_category_description VARCHAR(80)
)
CREATE TABLE Product (
product_id INTEGER,
product_name VARCHAR(80),
product_details VARCHAR(255)
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CREATE TABLE Problems (
problem_id INTEGER,
product_id INTEGER,
closure_authorised_by_staff_id INTEGER,
reported_by_staff_id INTEGER,
date_problem_reported DATETIME,
date_problem_closed DATETIME,
problem_description VARCHAR(255),
other_problem_details VARCHAR(255)
)
CREATE TABLE Problem_Status_Codes (
problem_status_code VARCHAR(20),
problem_status_description VARCHAR(80)
)
CREATE TABLE Problem_Log (
problem_log_id INTEGER,
assigned_to_staff_id INTEGER,
problem_id INTEGER,
problem_category_code VARCHAR(20),
problem_status_code VARCHAR(20),
log_entry_date DATETIME,
log_entry_description VARCHAR(255),
log_entry_fix VARCHAR(255),
other_log_details VARCHAR(255)
) | SELECT problem_id, problem_log_id FROM Staff AS T1 JOIN Problem_Log AS T2 ON T1.staff_id = T2.assigned_to_staff_id WHERE T1.staff_first_name = "Rylan" AND T1.staff_last_name = "Homenick" | [
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count the number of patients whose procedure icd9 code is 4105 and drug type is additive? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE procedures.icd9_code = "4105" AND prescriptions.drug_type = "ADDITIVE" | [
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Bob Love Category:Articles with hCards is from where? | CREATE TABLE table_77013 (
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What is the date that Fabrizio Giovanardi Christian Abt won? | CREATE TABLE table_name_12 (date VARCHAR, winning_driver VARCHAR) | SELECT date FROM table_name_12 WHERE winning_driver = "fabrizio giovanardi christian abt" | [
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What are the unique names of races that held after 2000 and the circuits were in Spain? | CREATE TABLE constructorstandings (
constructorstandingsid number,
raceid number,
constructorid number,
points number,
position number,
positiontext text,
wins number
)
CREATE TABLE qualifying (
qualifyid number,
raceid number,
driverid number,
constructorid number,
number number,
position number,
q1 text,
q2 text,
q3 text
)
CREATE TABLE driverstandings (
driverstandingsid number,
raceid number,
driverid number,
points number,
position number,
positiontext text,
wins number
)
CREATE TABLE results (
resultid number,
raceid number,
driverid number,
constructorid number,
number number,
grid number,
position number,
positiontext text,
positionorder number,
points number,
laps number,
time text,
milliseconds number,
fastestlap number,
rank number,
fastestlaptime text,
fastestlapspeed text,
statusid number
)
CREATE TABLE constructorresults (
constructorresultsid number,
raceid number,
constructorid number,
points number,
status number
)
CREATE TABLE laptimes (
raceid number,
driverid number,
lap number,
position number,
time text,
milliseconds number
)
CREATE TABLE seasons (
year number,
url text
)
CREATE TABLE status (
statusid number,
status text
)
CREATE TABLE constructors (
constructorid number,
constructorref text,
name text,
nationality text,
url text
)
CREATE TABLE pitstops (
raceid number,
driverid number,
stop number,
lap number,
time text,
duration text,
milliseconds number
)
CREATE TABLE circuits (
circuitid number,
circuitref text,
name text,
location text,
country text,
lat number,
lng number,
alt number,
url text
)
CREATE TABLE races (
raceid number,
year number,
round number,
circuitid number,
name text,
date text,
time text,
url text
)
CREATE TABLE drivers (
driverid number,
driverref text,
number number,
code text,
forename text,
surname text,
dob text,
nationality text,
url text
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What is the number of bonus points for the team with 2 drawn games and 475 points? | CREATE TABLE table_65103 (
"Club" text,
"Played" text,
"Drawn" text,
"Lost" text,
"Points for" text,
"Points against" text,
"Bonus points" text,
"Points" text
) | SELECT "Bonus points" FROM table_65103 WHERE "Drawn" = '2' AND "Points for" = '475' | [
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What is the Pick number of the Player from Syracuse? | CREATE TABLE table_name_76 (pick VARCHAR, college VARCHAR) | SELECT pick FROM table_name_76 WHERE college = "syracuse" | [
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Who was the opponent with a score of 4-6, 7-5, 4-6? | CREATE TABLE table_77065 (
"Outcome" text,
"Date" text,
"Tournament" text,
"Surface" text,
"Opponent" text,
"Score" text
) | SELECT "Opponent" FROM table_77065 WHERE "Score" = '4-6, 7-5, 4-6' | [
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what is the number of patients whose admission location is phys referral/normal deli and admission year is less than 2184? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
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CREATE TABLE demographic (
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name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
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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
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CREATE TABLE procedures (
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short_title text,
long_title text
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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 (
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hadm_id text,
icd9_code text,
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long_title text
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year_born VARCHAR
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What was the final rank of the Brewers in 1980? | CREATE TABLE table_52509 (
"MLB season" text,
"Team season" text,
"League" text,
"Division" text,
"Finish" text,
"Wins" text,
"Losses" text,
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Return a pie chart on what are all the different product names, and how many complains has each received? | CREATE TABLE Complaints (
complaint_id INTEGER,
product_id INTEGER,
customer_id INTEGER,
complaint_outcome_code VARCHAR(20),
complaint_status_code VARCHAR(20),
complaint_type_code VARCHAR(20),
date_complaint_raised DATETIME,
date_complaint_closed DATETIME,
staff_id INTEGER
)
CREATE TABLE Products (
product_id INTEGER,
parent_product_id INTEGER,
product_category_code VARCHAR(20),
date_product_first_available DATETIME,
date_product_discontinued DATETIME,
product_name VARCHAR(80),
product_description VARCHAR(255),
product_price DECIMAL(19,4)
)
CREATE TABLE Customers (
customer_id INTEGER,
customer_type_code VARCHAR(20),
address_line_1 VARCHAR(80),
address_line_2 VARCHAR(80),
town_city VARCHAR(80),
state VARCHAR(80),
email_address VARCHAR(255),
phone_number VARCHAR(80)
)
CREATE TABLE Staff (
staff_id INTEGER,
gender VARCHAR(1),
first_name VARCHAR(80),
last_name VARCHAR(80),
email_address VARCHAR(255),
phone_number VARCHAR(80)
) | SELECT product_name, COUNT(*) FROM Products AS t1 JOIN Complaints AS t2 ON t1.product_id = t2.product_id GROUP BY t1.product_name | [
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Find users whose average review rating is below 3 | CREATE TABLE category (
id int,
business_id varchar,
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CREATE TABLE user (
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name varchar
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CREATE TABLE business (
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business_id varchar,
name varchar,
full_address varchar,
city varchar,
latitude varchar,
longitude varchar,
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is_open tinyint,
rating float,
state varchar
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CREATE TABLE review (
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business_id varchar,
user_id varchar,
rating float,
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year int,
month varchar
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CREATE TABLE neighborhood (
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business_id varchar,
neighborhood_name varchar
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CREATE TABLE checkin (
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business_id varchar,
count int,
day varchar
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CREATE TABLE tip (
tip_id int,
business_id varchar,
text longtext,
user_id varchar,
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year int,
month varchar
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What year were the Grizzlies in Providence? | CREATE TABLE table_name_19 (years_for_grizzlies VARCHAR, school_club_team VARCHAR) | SELECT years_for_grizzlies FROM table_name_19 WHERE school_club_team = "providence" | [
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how many patients whose diagnoses short title is adv eff benzodiaz tranq and lab test fluid is pleural? | CREATE TABLE demographic (
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name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
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ethnicity text,
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CREATE TABLE prescriptions (
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drug text,
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route text,
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CREATE TABLE lab (
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itemid text,
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CREATE TABLE procedures (
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long_title text
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CREATE TABLE diagnoses (
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When the score was 76-73-67-69=285 what was the To par? | CREATE TABLE table_46727 (
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Which Week has a Opponent of tennessee titans? | CREATE TABLE table_50206 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"Attendance" text
) | SELECT "Week" FROM table_50206 WHERE "Opponent" = 'tennessee titans' | [
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For those records from the products and each product's manufacturer, give me the comparison about the sum of manufacturer over the name , and group by attribute name by a bar chart, show in asc by the total number. | 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.Manufacturer | [
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What is the sum of the 2010 population with a latitude greater than 47.710905, a longitude of -101.79876, and less than 35.695 sq mi of land? | CREATE TABLE table_65268 (
"Township" text,
"County" text,
"Pop. (2010)" real,
"Land ( sqmi )" real,
"Water (sqmi)" real,
"Latitude" real,
"Longitude" real,
"GEO ID" real,
"ANSI code" real
) | SELECT SUM("Pop. (2010)") FROM table_65268 WHERE "Latitude" > '47.710905' AND "Longitude" = '-101.79876' AND "Land ( sqmi )" < '35.695' | [
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How many games played for team bangu with under 15 against, and over 9 points? | CREATE TABLE table_5058 (
"Position" real,
"Team" text,
"Points" real,
"Played" real,
"Drawn" real,
"Lost" real,
"Against" real,
"Difference" text
) | SELECT MAX("Played") FROM table_5058 WHERE "Against" < '15' AND "Team" = 'bangu' AND "Points" > '9' | [
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What is the to par for japan | CREATE TABLE table_name_49 (
to_par VARCHAR,
country VARCHAR
) | SELECT to_par FROM table_name_49 WHERE country = "japan" | [
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32102,
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What is the lowest number of points for an entrant with a Jordan 192 chassis? | CREATE TABLE table_name_20 (
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chassis VARCHAR
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Who's the Centerfold model with a Pictorials of adrianne curry, girls of tuscany? | CREATE TABLE table_name_47 (centerfold_model VARCHAR, pictorials VARCHAR) | SELECT centerfold_model FROM table_name_47 WHERE pictorials = "adrianne curry, girls of tuscany" | [
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Which years did the Rockets number 6 play? | CREATE TABLE table_name_80 (years_for_rockets VARCHAR, no_s_ VARCHAR) | SELECT years_for_rockets FROM table_name_80 WHERE no_s_ = "6" | [
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"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
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What is the lowest points for a match before 14? | CREATE TABLE table_name_88 (
points INTEGER,
match INTEGER
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What was the date of the game held at the Al-Rashid Stadium, Dubai? | CREATE TABLE table_40732 (
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text
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lost VARCHAR,
played INTEGER
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What is the name of the customer that made the order with the largest quantity? | CREATE TABLE customer_addresses (
customer_id number,
address_id number,
date_address_from time,
address_type text,
date_address_to time
)
CREATE TABLE order_items (
order_id number,
product_id number,
order_quantity text
)
CREATE TABLE customer_orders (
order_id number,
customer_id number,
order_status text,
order_date time,
order_details text
)
CREATE TABLE customers (
customer_id number,
payment_method text,
customer_name text,
date_became_customer time,
other_customer_details text
)
CREATE TABLE products (
product_id number,
product_details text
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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 customer_contact_channels (
customer_id number,
channel_code text,
active_from_date time,
active_to_date time,
contact_number text
) | SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id JOIN order_items AS t3 ON t2.order_id = t3.order_id WHERE t3.order_quantity = (SELECT MAX(order_quantity) FROM order_items) | [
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