NATURAL_LANG
stringlengths 0
446
| SCHEMA
stringlengths 27
2.21k
| SQL
stringlengths 18
453
| input_ids
list | attention_mask
list | labels
list |
|---|---|---|---|---|---|
How many epsidode(s) had 3.63 million viewers?
|
CREATE TABLE table_22353769_3 (
episode__number VARCHAR,
viewers__millions_ VARCHAR
)
|
SELECT COUNT(episode__number) FROM table_22353769_3 WHERE viewers__millions_ = "3.63"
|
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What losses have points for less than 1175, wins greater than 2, points against greater than 894, and 24 as the points?
|
CREATE TABLE table_name_84 (
loses VARCHAR,
points VARCHAR,
points_against VARCHAR,
points_for VARCHAR,
wins VARCHAR
)
|
SELECT loses FROM table_name_84 WHERE points_for < 1175 AND wins > 2 AND points_against > 894 AND points = 24
|
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who had the high assists when the game was less than 13 and the score was w 75-66?
|
CREATE TABLE table_name_41 (high_assists VARCHAR, game VARCHAR, score VARCHAR)
|
SELECT high_assists FROM table_name_41 WHERE game < 13 AND score = "w 75-66"
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Which papers are about about Deep Learning ?
|
CREATE TABLE keyphrase (
keyphraseid int,
keyphrasename varchar
)
CREATE TABLE paperkeyphrase (
paperid int,
keyphraseid int
)
CREATE TABLE dataset (
datasetid int,
datasetname varchar
)
CREATE TABLE field (
fieldid int
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CREATE TABLE paperdataset (
paperid int,
datasetid int
)
CREATE TABLE paperfield (
fieldid int,
paperid int
)
CREATE TABLE cite (
citingpaperid int,
citedpaperid int
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CREATE TABLE writes (
paperid int,
authorid int
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CREATE TABLE author (
authorid int,
authorname varchar
)
CREATE TABLE paper (
paperid int,
title varchar,
venueid int,
year int,
numciting int,
numcitedby int,
journalid int
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CREATE TABLE journal (
journalid int,
journalname varchar
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CREATE TABLE venue (
venueid int,
venuename varchar
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|
SELECT DISTINCT paper.paperid FROM keyphrase, paper, paperkeyphrase WHERE keyphrase.keyphrasename = 'Deep Learning' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid
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What is the name and opening year for the branch that registered the most members in 2016?
|
CREATE TABLE membership_register_branch (
member_id number,
branch_id text,
register_year text
)
CREATE TABLE member (
member_id number,
card_number text,
name text,
hometown text,
level number
)
CREATE TABLE purchase (
member_id number,
branch_id text,
year text,
total_pounds number
)
CREATE TABLE branch (
branch_id number,
name text,
open_year text,
address_road text,
city text,
membership_amount text
)
|
SELECT T2.name, T2.open_year FROM membership_register_branch AS T1 JOIN branch AS T2 ON T1.branch_id = T2.branch_id WHERE T1.register_year = 2016 GROUP BY T2.branch_id ORDER BY COUNT(*) DESC LIMIT 1
|
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
What is the aggregate number of 2005 that has 2004 bigger than 1,040, and a Country of Chile, and 2006 littler than 5,560?
|
CREATE TABLE table_50457 (
"Country" text,
"2002" real,
"2003" real,
"2004" real,
"2005" real,
"2006" real,
"2007" real,
"2008" real,
"2009" real,
"2010" real,
"2011" real
)
|
SELECT COUNT("2005") FROM table_50457 WHERE "2004" > '1,040' AND "Country" = 'chile' AND "2006" < '5,560'
|
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[
3,
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14196,
2847,
17161,
599,
121,
22594,
8512,
21680,
953,
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1752,
591,
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3,
31,
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632,
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31,
3430,
96,
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651,
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3,
31,
1436,
109,
31,
3430,
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-100
] |
Which home team was playing on January 13?
|
CREATE TABLE table_36931 (
"Date" text,
"Visitor" text,
"Score" text,
"Home" text,
"Leading scorer" text,
"Attendance" real,
"Record" text
)
|
SELECT "Home" FROM table_36931 WHERE "Date" = 'january 13'
|
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who was the next winner after the 2005 year ?
|
CREATE TABLE table_204_874 (
id number,
"year" number,
"winner" text,
"runner-up" text,
"final score" text,
"third" text
)
|
SELECT "winner" FROM table_204_874 WHERE "year" > 2005 ORDER BY "year" LIMIT 1
|
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] |
How much have players earned with 14 wins ranked below 3?
|
CREATE TABLE table_77590 (
"Rank" real,
"Player" text,
"Country" text,
"Earnings( $ )" real,
"Wins" real
)
|
SELECT COUNT("Earnings( $ )") FROM table_77590 WHERE "Wins" = '14' AND "Rank" > '3'
|
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In which venue was round F?
|
CREATE TABLE table_77431 (
"Date" text,
"Round" text,
"Opponent" text,
"Venue" text,
"Result" text,
"Attendance" real,
"Scorers" text
)
|
SELECT "Venue" FROM table_77431 WHERE "Round" = 'f'
|
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What are all the distinct asset models?
|
CREATE TABLE Assets (
asset_model VARCHAR
)
|
SELECT DISTINCT asset_model FROM Assets
|
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] |
what kind of Giro di Lombardiahas a Tour of Flanders of tom boonen ( bel ), and a Paris Roubaix of fabian cancellara ( sui )?
|
CREATE TABLE table_name_22 (
giro_di_lombardia VARCHAR,
tour_of_flanders VARCHAR,
paris_roubaix VARCHAR
)
|
SELECT giro_di_lombardia FROM table_name_22 WHERE tour_of_flanders = "tom boonen ( bel )" AND paris_roubaix = "fabian cancellara ( sui )"
|
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What date was the match against Morocco played?
|
CREATE TABLE table_22090 (
"Edition" text,
"Round" text,
"Date" text,
"Partnering" text,
"Against" text,
"Surface" text,
"Opponents" text,
"W\u2013L" text,
"Result" text
)
|
SELECT "Date" FROM table_22090 WHERE "Against" = 'Morocco'
|
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What was the lowest attendance at a Fitzroy match?
|
CREATE TABLE table_name_68 (crowd INTEGER, home_team VARCHAR)
|
SELECT MIN(crowd) FROM table_name_68 WHERE home_team = "fitzroy"
|
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How many patients of hispanic, or latino-puerto rican ethnicity had colonoscopy?
|
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 procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.ethnicity = "HISPANIC/LATINO - PUERTO RICAN" AND procedures.long_title = "Colonoscopy"
|
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When guiguinto, bulacan is the home or representative town or province how many names are there?
|
CREATE TABLE table_19061741_3 (
name VARCHAR,
home_or_representative_town_or_province VARCHAR
)
|
SELECT COUNT(name) FROM table_19061741_3 WHERE home_or_representative_town_or_province = "Guiguinto, Bulacan"
|
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what is the to par when the score is 69-70-72-72=283?
|
CREATE TABLE table_9170 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" text,
"Money ( $ )" real
)
|
SELECT "To par" FROM table_9170 WHERE "Score" = '69-70-72-72=283'
|
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When was the Metallica: Escape from the Studio show?
|
CREATE TABLE table_name_28 (
date VARCHAR,
event VARCHAR
)
|
SELECT date FROM table_name_28 WHERE event = "metallica: escape from the studio"
|
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Bar chart x axis occupation y axis the total number, and I want to sort total number in asc order please.
|
CREATE TABLE player_coach (
Player_ID int,
Coach_ID int,
Starting_year int
)
CREATE TABLE club (
Club_ID int,
Club_name text,
Region text,
Start_year int
)
CREATE TABLE coach (
Coach_ID int,
Coach_name text,
Gender text,
Club_ID int,
Rank int
)
CREATE TABLE match_result (
Rank int,
Club_ID int,
Gold int,
Big_Silver int,
Small_Silver int,
Bronze int,
Points int
)
CREATE TABLE player (
Player_ID int,
Sponsor_name text,
Player_name text,
Gender text,
Residence text,
Occupation text,
Votes int,
Rank text
)
|
SELECT Occupation, COUNT(*) FROM player GROUP BY Occupation ORDER BY COUNT(*)
|
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What was the placing of the race in which Chic won by 8gf?
|
CREATE TABLE table_name_58 (
placing VARCHAR,
beat_by VARCHAR,
distance VARCHAR
)
|
SELECT placing FROM table_name_58 WHERE beat_by = "won" AND distance = "8gf"
|
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Which virtue is acedia(Latin)?
|
CREATE TABLE table_36358 (
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"Latin" text,
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|
SELECT "Virtue" FROM table_36358 WHERE "(Latin)" = 'acedia'
|
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What is the start of lap 55?
|
CREATE TABLE table_71922 (
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"Start" text,
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SELECT "Start" FROM table_71922 WHERE "Laps" = '55'
|
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how many single patients had the diagnosis short title malfunction oth device/graft?
|
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 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.marital_status = "SINGLE" AND diagnoses.short_title = "Malfunc oth device/graft"
|
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What was the final score of Game #4?
|
CREATE TABLE table_name_14 (
score VARCHAR,
game VARCHAR
)
|
SELECT score FROM table_name_14 WHERE game = 4
|
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Who is the opponent on week 2?
|
CREATE TABLE table_name_73 (opponent VARCHAR, week VARCHAR)
|
SELECT opponent FROM table_name_73 WHERE week = 2
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what is admission type and diagnoses icd9 code of subject name anna johnson?
|
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
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT demographic.admission_type, diagnoses.icd9_code FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.name = "Anna Johnson"
|
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since 08/2105, what was the yearly minimum weight of patient 030-28944?
|
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 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 intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
|
SELECT MIN(patient.admissionweight) FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '030-28944') AND NOT patient.admissionweight IS NULL AND STRFTIME('%y-%m', patient.unitadmittime) >= '2105-08' GROUP BY STRFTIME('%y', patient.unitadmittime)
|
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6,
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21545,
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32,
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1
] |
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1,
-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
What is the total cloud cover rates of the dates (bin into day of the week interval) that had the top 5 cloud cover rates? You can show me a bar chart, list by the y-axis in ascending.
|
CREATE TABLE status (
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE trip (
id INTEGER,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE weather (
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches NUMERIC,
mean_sea_level_pressure_inches NUMERIC,
min_sea_level_pressure_inches NUMERIC,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches INTEGER,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code INTEGER
)
CREATE TABLE station (
id INTEGER,
name TEXT,
lat NUMERIC,
long NUMERIC,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
|
SELECT date, SUM(cloud_cover) FROM weather ORDER BY SUM(cloud_cover)
|
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41,
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471,
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61,
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141,
8,
420,
305,
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1917,
58,
148,
54,
504,
140,
3,
9,
1207,
5059,
6,
570,
57,
1
] |
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Name the driver/passenger for position 8
|
CREATE TABLE table_21009 (
"Position" real,
"Driver / Passenger" text,
"Equipment" text,
"Bike No" real,
"Points" real
)
|
SELECT "Driver / Passenger" FROM table_21009 WHERE "Position" = '8'
|
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How many people attended the game when sydney spirit was at home?
|
CREATE TABLE table_name_58 (crowd VARCHAR, home_team VARCHAR)
|
SELECT crowd FROM table_name_58 WHERE home_team = "sydney spirit"
|
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What is the loss for the game against @ expos, with a save of parrett (2)?
|
CREATE TABLE table_name_28 (loss VARCHAR, opponent VARCHAR, save VARCHAR)
|
SELECT loss FROM table_name_28 WHERE opponent = "@ expos" AND save = "parrett (2)"
|
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how long did it take giandomenico basso to finish the 2013 rali vinho da madeira ?
|
CREATE TABLE table_204_538 (
id number,
"pos." number,
"driver" text,
"co-driver" text,
"car" text,
"time" text
)
|
SELECT "time" FROM table_204_538 WHERE "driver" = 'giandomenico basso'
|
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Who is the player from the United States in T4 place with a score of 68-73-68=209?
|
CREATE TABLE table_name_77 (player VARCHAR, country VARCHAR, place VARCHAR, score VARCHAR)
|
SELECT player FROM table_name_77 WHERE country = "united states" AND place = "t4" AND score = 68 - 73 - 68 = 209
|
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What is Moving, when Type is 'Transfer', and when Name is 'Andy Webster'?
|
CREATE TABLE table_47072 (
"Nat." text,
"Name" text,
"Moving from" text,
"Type" text,
"Transfer window" text,
"Ends" real,
"Transfer fee" text
)
|
SELECT "Moving from" FROM table_47072 WHERE "Type" = 'transfer' AND "Name" = 'andy webster'
|
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What is the total interviews of Iowa, and with an evening gown smaller than 9.625?
|
CREATE TABLE table_name_23 (interview VARCHAR, state VARCHAR, evening_gown VARCHAR)
|
SELECT COUNT(interview) FROM table_name_23 WHERE state = "iowa" AND evening_gown < 9.625
|
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show me the number of patients whose lab test category is chemistry and diagnoses short title is hematoma complic proc.
|
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
)
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 INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Hematoma complic proc" AND lab."CATEGORY" = "Chemistry"
|
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Which nominations was the film 27 Stolen Kisses nominated for?
|
CREATE TABLE table_16003 (
"Nomination" text,
"Actors Name" text,
"Film Name" text,
"Director" text,
"Country" text
)
|
SELECT "Nomination" FROM table_16003 WHERE "Film Name" = '27 Stolen Kisses'
|
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What school is located in Chestnut Hill, Massachusetts?
|
CREATE TABLE table_1973842_1 (
institution VARCHAR,
location VARCHAR
)
|
SELECT institution FROM table_1973842_1 WHERE location = "Chestnut Hill, Massachusetts"
|
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What region has vinyl record listed as its format?
|
CREATE TABLE table_name_65 (
region VARCHAR,
format VARCHAR
)
|
SELECT region FROM table_name_65 WHERE format = "vinyl record"
|
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what is the type when the bie recognised is yes and year(s) is 1960?
|
CREATE TABLE table_name_62 (
type VARCHAR,
bie_recognised VARCHAR,
year_s_ VARCHAR
)
|
SELECT type FROM table_name_62 WHERE bie_recognised = "yes" AND year_s_ = "1960"
|
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How many games were numbered 13?
|
CREATE TABLE table_29747 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location Attendance" text,
"Record" text
)
|
SELECT COUNT("Team") FROM table_29747 WHERE "Game" = '13'
|
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What is the home team score that played away team carlton?
|
CREATE TABLE table_name_60 (
home_team VARCHAR,
away_team VARCHAR
)
|
SELECT home_team AS score FROM table_name_60 WHERE away_team = "carlton"
|
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What is Tournament, when Date is '6 October 2008'?
|
CREATE TABLE table_58667 (
"Date" text,
"Tournament" text,
"Surface" text,
"Opponent in the final" text,
"Score" text
)
|
SELECT "Tournament" FROM table_58667 WHERE "Date" = '6 october 2008'
|
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] |
count the number of emergency hospital admission patients who are taking main drug type prescription.
|
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
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND prescriptions.drug_type = "MAIN"
|
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Find the component amounts and names of all furnitures that have more than 10 components, and could you order by the y axis from low to high?
|
CREATE TABLE furniture (
Furniture_ID int,
Name text,
Num_of_Component int,
Market_Rate real
)
CREATE TABLE manufacturer (
Manufacturer_ID int,
Open_Year real,
Name text,
Num_of_Factories int,
Num_of_Shops int
)
CREATE TABLE furniture_manufacte (
Manufacturer_ID int,
Furniture_ID int,
Price_in_Dollar real
)
|
SELECT Name, Num_of_Component FROM furniture WHERE Num_of_Component > 10 ORDER BY Num_of_Component
|
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What was the Queens number when Brooklyn was 201,866?
|
CREATE TABLE table_name_57 (
queens VARCHAR,
brooklyn VARCHAR
)
|
SELECT queens FROM table_name_57 WHERE brooklyn = "201,866"
|
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What date was the week 17 game played on?
|
CREATE TABLE table_name_62 (date VARCHAR, week VARCHAR)
|
SELECT date FROM table_name_62 WHERE week = "17"
|
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Specify the ethnic origin of patient id 3623 along with the primary disease
|
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
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
|
SELECT demographic.ethnicity, demographic.diagnosis FROM demographic WHERE demographic.subject_id = "3623"
|
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what is the number of tv shows that charmaine sheh has appeared on ?
|
CREATE TABLE table_203_631 (
id number,
"year" number,
"name of show" text,
"episodes" text,
"other guests" text,
"winner(s)" text
)
|
SELECT COUNT("name of show") FROM table_203_631
|
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What is the D42 associated with a D47 of d 27?
|
CREATE TABLE table_name_31 (d_42 VARCHAR, d_47 VARCHAR)
|
SELECT d_42 FROM table_name_31 WHERE d_47 = "d 27"
|
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For those employees who was hired before 2002-06-21, find hire_date and the sum of manager_id bin hire_date by time, and visualize them by a bar chart, and I want to show by the total number of manager id from high to low.
|
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
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 departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
|
SELECT HIRE_DATE, SUM(MANAGER_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY SUM(MANAGER_ID) DESC
|
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What is the earliest year for ordinary people to appear in the notes?
|
CREATE TABLE table_77577 (
"Superlative" text,
"Actor" text,
"Record Set" text,
"Year" real,
"Notes" text
)
|
SELECT MIN("Year") FROM table_77577 WHERE "Notes" = 'ordinary people'
|
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What's the value for race 4 when race 1 is dsq?
|
CREATE TABLE table_name_76 (race_4 VARCHAR, race_1 VARCHAR)
|
SELECT race_4 FROM table_name_76 WHERE race_1 = "dsq"
|
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List total amount of invoice from Chicago, IL.
|
CREATE TABLE albums (
id number,
title text,
artist_id number
)
CREATE TABLE media_types (
id number,
name text
)
CREATE TABLE employees (
id number,
last_name text,
first_name text,
title text,
reports_to number,
birth_date time,
hire_date time,
address text,
city text,
state text,
country text,
postal_code text,
phone text,
fax text,
email text
)
CREATE TABLE playlist_tracks (
playlist_id number,
track_id number
)
CREATE TABLE playlists (
id number,
name text
)
CREATE TABLE customers (
id number,
first_name text,
last_name text,
company text,
address text,
city text,
state text,
country text,
postal_code text,
phone text,
fax text,
email text,
support_rep_id number
)
CREATE TABLE sqlite_sequence (
name text,
seq text
)
CREATE TABLE artists (
id number,
name text
)
CREATE TABLE invoice_lines (
id number,
invoice_id number,
track_id number,
unit_price number,
quantity number
)
CREATE TABLE tracks (
id number,
name text,
album_id number,
media_type_id number,
genre_id number,
composer text,
milliseconds number,
bytes number,
unit_price number
)
CREATE TABLE invoices (
id number,
customer_id number,
invoice_date time,
billing_address text,
billing_city text,
billing_state text,
billing_country text,
billing_postal_code text,
total number
)
CREATE TABLE genres (
id number,
name text
)
|
SELECT SUM(total) FROM invoices WHERE billing_city = "Chicago" AND billing_state = "IL"
|
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Which City has Seasons in league of 17, and a Club of shakhter?
|
CREATE TABLE table_name_99 (city VARCHAR, seasons_in_league VARCHAR, club VARCHAR)
|
SELECT city FROM table_name_99 WHERE seasons_in_league = 17 AND club = "shakhter"
|
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What is the result of week 5?
|
CREATE TABLE table_33687 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"Attendance" real
)
|
SELECT "Result" FROM table_33687 WHERE "Week" = '5'
|
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What was the venue after 2012?
|
CREATE TABLE table_name_4 (venue VARCHAR, year INTEGER)
|
SELECT venue FROM table_name_4 WHERE year > 2012
|
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Show all branch names with the number of members in each branch registered after 2015 with a bar chart, show in ascending by the bars.
|
CREATE TABLE member (
Member_ID int,
Card_Number text,
Name text,
Hometown text,
Level int
)
CREATE TABLE purchase (
Member_ID int,
Branch_ID text,
Year text,
Total_pounds real
)
CREATE TABLE membership_register_branch (
Member_ID int,
Branch_ID text,
Register_Year text
)
CREATE TABLE branch (
Branch_ID int,
Name text,
Open_year text,
Address_road text,
City text,
membership_amount text
)
|
SELECT Name, COUNT(*) FROM membership_register_branch AS T1 JOIN branch AS T2 ON T1.Branch_ID = T2.Branch_ID WHERE T1.Register_Year > 2015 GROUP BY T2.Branch_ID ORDER BY Name
|
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how many patients are admitted under emergency and tested with lab item id 51256?
|
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 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 lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND lab.itemid = "51256"
|
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For those employees who do not work in departments with managers that have ids between 100 and 200, show me about the distribution of first_name and employee_id in a bar chart.
|
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
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 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)
)
|
SELECT FIRST_NAME, EMPLOYEE_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200)
|
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What game has a score of 89-91?
|
CREATE TABLE table_name_27 (game INTEGER, score VARCHAR)
|
SELECT AVG(game) FROM table_name_27 WHERE score = "89-91"
|
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What is the earliest year the new york jets won at harvard stadium?
|
CREATE TABLE table_name_35 (
year INTEGER,
winner VARCHAR,
location VARCHAR
)
|
SELECT MIN(year) FROM table_name_35 WHERE winner = "new york jets" AND location = "harvard stadium"
|
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List the number of the name of technicians whose team is not 'NYY', and I want to order from low to high by the y-axis please.
|
CREATE TABLE machine (
Machine_ID int,
Making_Year int,
Class text,
Team text,
Machine_series text,
value_points real,
quality_rank int
)
CREATE TABLE repair_assignment (
technician_id int,
repair_ID int,
Machine_ID int
)
CREATE TABLE repair (
repair_ID int,
name text,
Launch_Date text,
Notes text
)
CREATE TABLE technician (
technician_id real,
Name text,
Team text,
Starting_Year real,
Age int
)
|
SELECT Name, COUNT(Name) FROM technician WHERE Team <> "NYY" GROUP BY Name ORDER BY COUNT(Name)
|
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what is the number of patients with liver transplant primary disease who were hospitalized for more than 7 days?
|
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "LIVER TRANSPLANT" AND demographic.days_stay > "7"
|
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What is the Player with a Cross Code Debut of RL Test GB v France?
|
CREATE TABLE table_name_25 (
player VARCHAR,
cross_code_debut VARCHAR
)
|
SELECT player FROM table_name_25 WHERE cross_code_debut = "rl test gb v france"
|
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What is the Enrollment where Cougars is a Mascot?
|
CREATE TABLE table_53408 (
"School" text,
"Mascot" text,
"Location" text,
"League" text,
"Enrollment" real
)
|
SELECT SUM("Enrollment") FROM table_53408 WHERE "Mascot" = 'cougars'
|
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who is the the artbeingt with position being 32
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CREATE TABLE table_13789248_2 (artist VARCHAR, position VARCHAR)
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SELECT artist FROM table_13789248_2 WHERE position = 32
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What player has a To Par of +1 with a score of 71-67-73=211?
|
CREATE TABLE table_name_89 (player VARCHAR, to_par VARCHAR, score VARCHAR)
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SELECT player FROM table_name_89 WHERE to_par = "+1" AND score = 71 - 67 - 73 = 211
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Who won the season when Pete Thomas was the At-Home winner?
|
CREATE TABLE table_name_21 (
the_biggest_loser VARCHAR,
at_home_winner VARCHAR
)
|
SELECT the_biggest_loser FROM table_name_21 WHERE at_home_winner = "pete thomas"
|
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Who's the athlete with a wind of 1.7 and from the United States?
|
CREATE TABLE table_name_50 (athlete VARCHAR, nationality VARCHAR, wind VARCHAR)
|
SELECT athlete FROM table_name_50 WHERE nationality = "united states" AND wind = "1.7"
|
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how many patients whose primary disease is coronary artery disease/coronary artery bypass graft/sda were admitted in the emergency room?
|
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 WHERE demographic.admission_location = "EMERGENCY ROOM ADMIT" AND demographic.diagnosis = "CORONARY ARTERY DISEASE\CORONARY ARTERY BYPASS GRAFT /SDA"
|
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Which tournament in 2012 had a 2007 and 2011 finishes of "A"?
|
CREATE TABLE table_name_91 (Id VARCHAR)
|
SELECT 2012 FROM table_name_91 WHERE 2007 = "a" AND 2011 = "a"
|
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What was the lamar hunt u.s. open cup when concacaf champions cup / concacaf champions league was did not qualify and mls regular season was 4th, central (11-16-5)?
|
CREATE TABLE table_73686 (
"Season" real,
"MLS Regular Season" text,
"MLS Cup Playoffs" text,
"Lamar Hunt U.S. Open Cup" text,
"CONCACAF Champions Cup / CONCACAF Champions League" text
)
|
SELECT "Lamar Hunt U.S. Open Cup" FROM table_73686 WHERE "CONCACAF Champions Cup / CONCACAF Champions League" = 'Did not qualify' AND "MLS Regular Season" = '4th, Central (11-16-5)'
|
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Which average Robbery has the following criteria: Non-Violent crime less than 1147, rape less then 11, aggrevated assault greater than 167 and a crime index with a total of 1313?
|
CREATE TABLE table_14908 (
"Year" real,
"Crime Index Total" real,
"Violent crime" real,
"Non-violent Crime" real,
"Crime rate Per 1000" real,
"Violent crime Rate per 1000" real,
"Non-violent crime Rate per 1000" real,
"Murder" real,
"Rape" real,
"Robbery" real,
"Aggravated Assault" real
)
|
SELECT AVG("Robbery") FROM table_14908 WHERE "Non-violent Crime" < '1147' AND "Rape" < '11' AND "Aggravated Assault" > '167' AND "Crime Index Total" = '1313'
|
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[
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71,
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599,
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-100
] |
provide the number of patients whose primary disease is left internal jugular vein thrombosis;left arm edema?
|
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE 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.diagnosis = "LEFT INTERNAL JUGULAR VEIN THROMBOSIS;LEFT ARM EDEMA"
|
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[
3,
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2847,
17161,
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25424,
6227,
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5,
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11827,
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26,
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-100
] |
How many deciles have Years of 1 8, and a Roll of 49?
|
CREATE TABLE table_name_95 (
decile VARCHAR,
years VARCHAR,
roll VARCHAR
)
|
SELECT COUNT(decile) FROM table_name_95 WHERE years = "1–8" AND roll = 49
|
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What was the swimsuit score for the one who had a semifinal average of 8.759 (5)?
|
CREATE TABLE table_20672 (
"State" text,
"Preliminary Average" text,
"Interview" text,
"Swimsuit" text,
"Evening Gown" text,
"Semifinal Average" text
)
|
SELECT "Swimsuit" FROM table_20672 WHERE "Semifinal Average" = '8.759 (5)'
|
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Who is the player from Japan?
|
CREATE TABLE table_name_9 (
player VARCHAR,
country VARCHAR
)
|
SELECT player FROM table_name_9 WHERE country = "japan"
|
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How many people attended Melbourne's away game?
|
CREATE TABLE table_name_4 (crowd INTEGER, away_team VARCHAR)
|
SELECT SUM(crowd) FROM table_name_4 WHERE away_team = "melbourne"
|
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What was the date of the Circuit of Indianapolis?
|
CREATE TABLE table_name_83 (
date VARCHAR,
circuit VARCHAR
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|
SELECT date FROM table_name_83 WHERE circuit = "indianapolis"
|
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What is the average rank for the film directed by michael bay?
|
CREATE TABLE table_48108 (
"Rank" real,
"Title" text,
"Studio" text,
"Director" text,
"Worldwide Gross" text
)
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SELECT AVG("Rank") FROM table_48108 WHERE "Director" = 'michael bay'
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What team replaced their manager on 9 December 2008?
|
CREATE TABLE table_45613 (
"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 "Team" FROM table_45613 WHERE "Date of vacancy" = '9 december 2008'
|
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What district has 213 constituents?
|
CREATE TABLE table_29785324_5 (district VARCHAR, constituency_no VARCHAR)
|
SELECT COUNT(district) FROM table_29785324_5 WHERE constituency_no = 213
|
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how many patients follow episcopalian religion and were diagnosed with personal history of malignant neoplasm of large intestine?
|
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 COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.religion = "EPISCOPALIAN" AND diagnoses.long_title = "Personal history of malignant neoplasm of large intestine"
|
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What is the Theme when Fontella Bass was the original artist?
|
CREATE TABLE table_7101 (
"Week #" text,
"Theme" text,
"Song choice" text,
"Original artist" text,
"Order #" real,
"Result" text
)
|
SELECT "Theme" FROM table_7101 WHERE "Original artist" = 'fontella bass'
|
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Show the name of colleges that have at least two players in descending alphabetical order.
|
CREATE TABLE match_season (College VARCHAR)
|
SELECT College FROM match_season GROUP BY College HAVING COUNT(*) >= 2 ORDER BY College DESC
|
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What game number was the first game played at the Summit this season?
|
CREATE TABLE table_name_25 (game INTEGER, location VARCHAR)
|
SELECT MIN(game) FROM table_name_25 WHERE location = "the summit"
|
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What are the notes of the patience theme?
|
CREATE TABLE table_name_76 (
notes VARCHAR,
theme VARCHAR
)
|
SELECT notes FROM table_name_76 WHERE theme = "patience"
|
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Where were 16 matches played?
|
CREATE TABLE table_name_36 (played_in VARCHAR, matches VARCHAR)
|
SELECT played_in FROM table_name_36 WHERE matches = "16"
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How much Fighting Spirit has a Total of 13, and a Technique smaller than 1?
|
CREATE TABLE table_name_25 (fighting_spirit INTEGER, total VARCHAR, technique VARCHAR)
|
SELECT SUM(fighting_spirit) FROM table_name_25 WHERE total = 13 AND technique < 1
|
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what shows for 3rd place in 1990?
|
CREATE TABLE table_69015 (
"Year" text,
"Venue" text,
"Winners" text,
"Runner-up" text,
"3rd place" text
)
|
SELECT "3rd place" FROM table_69015 WHERE "Year" = '1990'
|
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Find the last name and gender of the students who are playing both Call of Destiny and Works of Widenius games.
|
CREATE TABLE Plays_games (StuID VARCHAR, GameID VARCHAR); CREATE TABLE Student (lname VARCHAR, sex VARCHAR, StuID VARCHAR); CREATE TABLE Video_games (GameID VARCHAR, Gname VARCHAR)
|
SELECT lname, sex FROM Student WHERE StuID IN (SELECT T1.StuID FROM Plays_games AS T1 JOIN Video_games AS T2 ON T1.GameID = T2.GameID WHERE T2.Gname = "Call of Destiny" INTERSECT SELECT T1.StuID FROM Plays_games AS T1 JOIN Video_games AS T2 ON T1.GameID = T2.GameID WHERE T2.Gname = "Works of Widenius")
|
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] |
Show all origins and the number of flights from each origin Show bar chart, display in desc by the y axis please.
|
CREATE TABLE flight (
flno number(4,0),
origin varchar2(20),
destination varchar2(20),
distance number(6,0),
departure_date date,
arrival_date date,
price number(7,2),
aid number(9,0)
)
CREATE TABLE aircraft (
aid number(9,0),
name varchar2(30),
distance number(6,0)
)
CREATE TABLE employee (
eid number(9,0),
name varchar2(30),
salary number(10,2)
)
CREATE TABLE certificate (
eid number(9,0),
aid number(9,0)
)
|
SELECT origin, COUNT(*) FROM flight GROUP BY origin ORDER BY COUNT(*) DESC
|
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When did camilla dallerup finish?
|
CREATE TABLE table_37907 (
"Celebrity" text,
"Famous for" text,
"Entered" text,
"Exited" text,
"Finished" text
)
|
SELECT "Finished" FROM table_37907 WHERE "Celebrity" = 'camilla dallerup'
|
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What is the record of the team from chicago?
|
CREATE TABLE table_53812 (
"Date" text,
"Visitor" text,
"Score" text,
"Home" text,
"Decision" text,
"Attendance" real,
"Record" text
)
|
SELECT "Record" FROM table_53812 WHERE "Home" = 'chicago'
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Name the location attendance for game 55
|
CREATE TABLE table_17001658_8 (location_attendance VARCHAR, game VARCHAR)
|
SELECT location_attendance FROM table_17001658_8 WHERE game = 55
|
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Show all role codes and the number of employees in each role Show bar chart, and show from low to high by the y axis.
|
CREATE TABLE All_Documents (
Document_ID INTEGER,
Date_Stored DATETIME,
Document_Type_Code CHAR(15),
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255)
)
CREATE TABLE Ref_Locations (
Location_Code CHAR(15),
Location_Name VARCHAR(255),
Location_Description VARCHAR(255)
)
CREATE TABLE Document_Locations (
Document_ID INTEGER,
Location_Code CHAR(15),
Date_in_Location_From DATETIME,
Date_in_Locaton_To DATETIME
)
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15),
Document_Type_Name VARCHAR(255),
Document_Type_Description VARCHAR(255)
)
CREATE TABLE Roles (
Role_Code CHAR(15),
Role_Name VARCHAR(255),
Role_Description VARCHAR(255)
)
CREATE TABLE Employees (
Employee_ID INTEGER,
Role_Code CHAR(15),
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1),
Date_of_Birth DATETIME,
Other_Details VARCHAR(255)
)
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255)
)
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME,
Day_Number INTEGER
)
|
SELECT Role_Code, COUNT(*) FROM Employees GROUP BY Role_Code ORDER BY COUNT(*)
|
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In what city was the team that left the conference in 1949 based?
|
CREATE TABLE table_63693 (
"School" text,
"City" text,
"Team Name" text,
"County" text,
"Year Joined" text,
"Year Left" text
)
|
SELECT "City" FROM table_63693 WHERE "Year Left" = '1949'
|
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What is the highest round with a guard position and an overall greater than 71?
|
CREATE TABLE table_39003 (
"Round" real,
"Pick #" real,
"Overall" real,
"Name" text,
"Position" text
)
|
SELECT MAX("Round") FROM table_39003 WHERE "Position" = 'guard' AND "Overall" > '71'
|
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From which location was the patient Thomas Nazario admitted to the hospital?
|
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE 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 demographic.admission_location FROM demographic WHERE demographic.name = "Thomas Nazario"
|
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