NATURAL_LANG
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| SCHEMA
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2.21k
| SQL
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| input_ids
list | attention_mask
list | labels
list |
|---|---|---|---|---|---|
Which Purpose has an Elevation + Height of 0 + metres (ft), a Location of bikini, namu (charlie), and a Yield of 220 kt?
|
CREATE TABLE table_name_37 (
purpose VARCHAR,
yield VARCHAR,
location VARCHAR,
elevation_ VARCHAR,
_height VARCHAR
)
|
SELECT purpose FROM table_name_37 WHERE elevation_ + _height = "0 + metres (ft)" AND location = "bikini, namu (charlie)" AND yield = "220 kt"
|
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What day did the Raiders score 17?
|
CREATE TABLE table_12512 (
"Game" real,
"Date" text,
"Opponent" text,
"Result" text,
"Raiders points" real,
"Opponents" real,
"First Downs" real,
"Record" text,
"Streak" text,
"Attendance" real
)
|
SELECT "Date" FROM table_12512 WHERE "Raiders points" = '17'
|
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What is the IHSAA class in monon?
|
CREATE TABLE table_name_56 (
ihsaa_class VARCHAR,
location VARCHAR
)
|
SELECT ihsaa_class FROM table_name_56 WHERE location = "monon"
|
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what's the fcc info with call sign being w221aw
|
CREATE TABLE table_19055 (
"Call sign" text,
"Frequency MHz" text,
"City of license" text,
"ERP W" real,
"Height m ( ft )" text,
"FCC info" text,
"Notes" text
)
|
SELECT "FCC info" FROM table_19055 WHERE "Call sign" = 'W221AW'
|
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Name the rank for 151 Laps
|
CREATE TABLE table_name_18 (rank VARCHAR, laps VARCHAR)
|
SELECT rank FROM table_name_18 WHERE laps = 151
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What is the largest gold number when the total is less than 3, the rank is 5, and the silver is more than 1?
|
CREATE TABLE table_7056 (
"Rank" text,
"Nation" text,
"Gold" real,
"Silver" real,
"Bronze" real,
"Total" real
)
|
SELECT MAX("Gold") FROM table_7056 WHERE "Total" < '3' AND "Rank" = '5' AND "Silver" > '1'
|
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Stack bar chart of team_id vs ACC_Home based on all home, and display by the x axis in asc.
|
CREATE TABLE university (
School_ID int,
School text,
Location text,
Founded real,
Affiliation text,
Enrollment real,
Nickname text,
Primary_conference text
)
CREATE TABLE basketball_match (
Team_ID int,
School_ID int,
Team_Name text,
ACC_Regular_Season text,
ACC_Percent text,
ACC_Home text,
ACC_Road text,
All_Games text,
All_Games_Percent int,
All_Home text,
All_Road text,
All_Neutral text
)
|
SELECT All_Home, Team_ID FROM basketball_match GROUP BY ACC_Home, All_Home ORDER BY All_Home
|
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give me the number of patients whose year of death is less than or equal to 2168 and procedure icd9 code is 3142?
|
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
)
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 WHERE demographic.dod_year <= "2168.0" AND procedures.icd9_code = "3142"
|
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What song was chosen for the episode with the top 8?
|
CREATE TABLE table_name_72 (song_choice VARCHAR, episode VARCHAR)
|
SELECT song_choice FROM table_name_72 WHERE episode = "top 8"
|
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provide the number of patients whose diagnoses icd9 code is 43820 and drug type is main?
|
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
)
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 INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.icd9_code = "43820" AND prescriptions.drug_type = "MAIN"
|
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What type is Kevin Muscat?
|
CREATE TABLE table_44693 (
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"Type" text,
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SELECT "Type" FROM table_44693 WHERE "Name" = 'kevin muscat'
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Name the Qual 2 which has the name of katherine legge
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CREATE TABLE table_68239 (
"Name" text,
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"Qual 1" text,
"Qual 2" text,
"Best" text
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SELECT "Qual 2" FROM table_68239 WHERE "Name" = 'katherine legge'
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Name the men's doubles for years before 1999 and elizabeth cann for women's singles
|
CREATE TABLE table_15028 (
"Year" real,
"Men's singles" text,
"Women's singles" text,
"Men's doubles" text,
"Women's doubles" text,
"Mixed doubles" text
)
|
SELECT "Men's doubles" FROM table_15028 WHERE "Year" < '1999' AND "Women's singles" = 'elizabeth cann'
|
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what's district with candidates being lawrence j. smith (d) 69.4% joseph smith (r) 30.6%
|
CREATE TABLE table_1341577_10 (
district VARCHAR,
candidates VARCHAR
)
|
SELECT district FROM table_1341577_10 WHERE candidates = "Lawrence J. Smith (D) 69.4% Joseph Smith (R) 30.6%"
|
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What is the GDP (PPP) (USD, per capita) for Algeria?
|
CREATE TABLE table_2155836_1 (
_per_capita_ VARCHAR,
gdp__ppp___usd INTEGER,
country VARCHAR
)
|
SELECT MIN(gdp__ppp___usd), _per_capita_ FROM table_2155836_1 WHERE country = "Algeria"
|
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what is the total number of patients treated with main drug who had a lab test of body fluid for glucose?
|
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 lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE prescriptions.drug_type = "MAIN" AND lab.label = "Glucose, Body Fluid"
|
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What is the average position of pilot petr krejcirik, who has less than 11 points?
|
CREATE TABLE table_name_31 (
position INTEGER,
points VARCHAR,
pilot VARCHAR
)
|
SELECT AVG(position) FROM table_name_31 WHERE points < 11 AND pilot = "petr krejcirik"
|
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With 37 tries against, what is the try bonus?
|
CREATE TABLE table_46095 (
"Club" text,
"Played" text,
"Drawn" text,
"Lost" text,
"Points for" text,
"Points against" text,
"Tries for" text,
"Tries against" text,
"Try bonus" text,
"Losing bonus" text,
"Points" text
)
|
SELECT "Try bonus" FROM table_46095 WHERE "Tries against" = '37'
|
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What is the average First Elected, when District is "Massachusetts 3"?
|
CREATE TABLE table_name_49 (first_elected INTEGER, district VARCHAR)
|
SELECT AVG(first_elected) FROM table_name_49 WHERE district = "massachusetts 3"
|
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Name the period for appearances being 380
|
CREATE TABLE table_24565004_2 (
period VARCHAR,
appearances¹ VARCHAR
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SELECT period FROM table_24565004_2 WHERE appearances¹ = 380
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What is the highest pick for a year after 2010, and a round smaller than 1?
|
CREATE TABLE table_name_11 (
pick INTEGER,
year VARCHAR,
round VARCHAR
)
|
SELECT MAX(pick) FROM table_name_11 WHERE year > 2010 AND round < 1
|
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The city of Birmingham is what type of location?
|
CREATE TABLE table_2273738_1 (type VARCHAR, city VARCHAR)
|
SELECT type FROM table_2273738_1 WHERE city = "Birmingham"
|
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What nation was number 1 and had a total larger than 5?
|
CREATE TABLE table_name_6 (
nation VARCHAR,
total VARCHAR,
rank VARCHAR
)
|
SELECT nation FROM table_name_6 WHERE total > 5 AND rank = "1"
|
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what is the wheel arrangement when the year made is 1881?
|
CREATE TABLE table_79651 (
"Class" text,
"Wheel arrangement" text,
"Fleet number(s)" text,
"Manufacturer" text,
"Serial numbers" text,
"Year made" text,
"Quantity made" text,
"Quantity preserved" text
)
|
SELECT "Wheel arrangement" FROM table_79651 WHERE "Year made" = '1881'
|
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hba1c >= 8 % within 3 months before surgery
|
CREATE TABLE table_train_231 (
"id" int,
"hemoglobin_a1c_hba1c" float,
"heart_disease" bool,
"stroke" bool,
"renal_disease" bool,
"estimated_glomerular_filtration_rate_egfr" int,
"allergy_to_milk" bool,
"NOUSE" float
)
|
SELECT * FROM table_train_231 WHERE hemoglobin_a1c_hba1c >= 8
|
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What is the score of the away team that played at Kardinia Park?
|
CREATE TABLE table_name_33 (away_team VARCHAR, venue VARCHAR)
|
SELECT away_team AS score FROM table_name_33 WHERE venue = "kardinia park"
|
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What is the average wins with a 20th position and more than 0 f/laps?
|
CREATE TABLE table_13932 (
"Season" real,
"Series" text,
"Team" text,
"Races" real,
"Wins" real,
"Poles" real,
"F/Laps" real,
"Points" real,
"Position" text
)
|
SELECT AVG("Wins") FROM table_13932 WHERE "Position" = '20th' AND "F/Laps" > '0'
|
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What is the total round when DB was the position, and the pick less than 21, and Jeff Welch as the name?
|
CREATE TABLE table_name_95 (round INTEGER, pick VARCHAR, position VARCHAR, name VARCHAR)
|
SELECT SUM(round) FROM table_name_95 WHERE position = "db" AND name = "jeff welch" AND pick < 21
|
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Tell me the average Laps for grid of 6
|
CREATE TABLE table_name_51 (
laps INTEGER,
grid VARCHAR
)
|
SELECT AVG(laps) FROM table_name_51 WHERE grid = 6
|
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who is the only person to have more than 4 assists ?
|
CREATE TABLE table_204_575 (
id number,
"place" number,
"position" text,
"number" number,
"name" text,
"league one" number,
"fa cup" number,
"league cup" number,
"football league trophy" number,
"total" number
)
|
SELECT "name" FROM table_204_575 WHERE "total" > 4
|
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Original title of das leben der anderen had what director?
|
CREATE TABLE table_name_28 (
director VARCHAR,
original_title VARCHAR
)
|
SELECT director FROM table_name_28 WHERE original_title = "das leben der anderen"
|
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Which Attendance is the highest one that has a Week smaller than 9, and a Result of l 24–23?
|
CREATE TABLE table_name_27 (attendance INTEGER, week VARCHAR, result VARCHAR)
|
SELECT MAX(attendance) FROM table_name_27 WHERE week < 9 AND result = "l 24–23"
|
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give the lab test name and duration of hospital stay for francis baseler.
|
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE 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
)
|
SELECT demographic.days_stay, lab.label FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.name = "Francis Baseler"
|
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How many students attend course English?
|
CREATE TABLE student_course_attendance (course_id VARCHAR); CREATE TABLE courses (course_id VARCHAR, course_name VARCHAR)
|
SELECT COUNT(*) FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = "English"
|
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What is average quantity, when DRG number is 99 011?
|
CREATE TABLE table_name_85 (
quantity INTEGER,
drg_number_s_ VARCHAR
)
|
SELECT AVG(quantity) FROM table_name_85 WHERE drg_number_s_ = "99 011"
|
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Which round has an opponent of Freiburg?
|
CREATE TABLE table_name_39 (
round VARCHAR,
opponent VARCHAR
)
|
SELECT round FROM table_name_39 WHERE opponent = "freiburg"
|
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What was the score on the 1st leg if the team 2 is botafogo?
|
CREATE TABLE table_17282875_2 (
team__number2 VARCHAR
)
|
SELECT COUNT(1 AS st_leg) FROM table_17282875_2 WHERE team__number2 = "Botafogo"
|
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What time is CDT when PDT is 3:17 a.m.?
|
CREATE TABLE table_name_13 (cdt___5_utc_ VARCHAR, pdt___7_utc_ VARCHAR)
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SELECT cdt___5_utc_ FROM table_name_13 WHERE pdt___7_utc_ = "3:17 a.m."
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Name the result for james lent (j) 52.3% silas wood (aj) 47.7%
|
CREATE TABLE table_28854 (
"District" text,
"Incumbent" text,
"Party" text,
"First elected" text,
"Result" text,
"Candidates" text
)
|
SELECT "Result" FROM table_28854 WHERE "Candidates" = 'James Lent (J) 52.3% Silas Wood (AJ) 47.7%'
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What is the lowest draft of player jim farrell, who has a pick greater than 197 and a round of 14?
|
CREATE TABLE table_name_62 (draft INTEGER, player VARCHAR, pick VARCHAR, round VARCHAR)
|
SELECT MIN(draft) FROM table_name_62 WHERE pick > 197 AND round = 14 AND player = "jim farrell"
|
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In what place did Darren Clarke finish?
|
CREATE TABLE table_name_23 (
place VARCHAR,
player VARCHAR
)
|
SELECT place FROM table_name_23 WHERE player = "darren clarke"
|
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Just show the employee's last name and their manager's id using a bar chart, and I want to list by the y axis in descending.
|
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 regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
|
SELECT LAST_NAME, MANAGER_ID FROM employees ORDER BY MANAGER_ID DESC
|
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The Maserati 4cl's minimum no was?
|
CREATE TABLE table_21977627_1 (
no INTEGER,
chassis VARCHAR
)
|
SELECT MIN(no) FROM table_21977627_1 WHERE chassis = "Maserati 4CL"
|
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] |
What date has 6 as the tie no.?
|
CREATE TABLE table_41988 (
"Tie no" text,
"Home team" text,
"Score" text,
"Away team" text,
"Date" text
)
|
SELECT "Date" FROM table_41988 WHERE "Tie no" = '6'
|
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What was the highest game number when the opponent was the Miami Heat?
|
CREATE TABLE table_49046 (
"Game" real,
"Date" text,
"Opponent" text,
"Score" text,
"Location" text,
"Record" text
)
|
SELECT MAX("Game") FROM table_49046 WHERE "Opponent" = 'miami heat'
|
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How many male students are there in each city? Show a bar chart.
|
CREATE TABLE Student (
StuID INTEGER,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
CREATE TABLE Has_amenity (
dormid INTEGER,
amenid INTEGER
)
CREATE TABLE Lives_in (
stuid INTEGER,
dormid INTEGER,
room_number INTEGER
)
CREATE TABLE Dorm (
dormid INTEGER,
dorm_name VARCHAR(20),
student_capacity INTEGER,
gender VARCHAR(1)
)
CREATE TABLE Dorm_amenity (
amenid INTEGER,
amenity_name VARCHAR(25)
)
|
SELECT city_code, COUNT(*) FROM Student WHERE Sex = 'M' GROUP BY city_code
|
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What Date was the Country of japan, and a Label of sony?
|
CREATE TABLE table_name_75 (
date VARCHAR,
country VARCHAR,
label VARCHAR
)
|
SELECT date FROM table_name_75 WHERE country = "japan" AND label = "sony"
|
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] |
What was the fastest lap time at the British Grand Prix with Mercedes as the constructor?
|
CREATE TABLE table_57593 (
"Race" text,
"Circuit" text,
"Date" text,
"Pole position" text,
"Fastest lap" text,
"Winning driver" text,
"Constructor" text,
"Tyre" text,
"Report" text
)
|
SELECT "Fastest lap" FROM table_57593 WHERE "Constructor" = 'mercedes' AND "Race" = 'british grand prix'
|
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] |
return me the number of keywords in PVLDB .
|
CREATE TABLE author (
aid int,
homepage varchar,
name varchar,
oid int
)
CREATE TABLE journal (
homepage varchar,
jid int,
name varchar
)
CREATE TABLE domain_journal (
did int,
jid int
)
CREATE TABLE publication (
abstract varchar,
cid int,
citation_num int,
jid int,
pid int,
reference_num int,
title varchar,
year int
)
CREATE TABLE keyword (
keyword varchar,
kid int
)
CREATE TABLE domain_conference (
cid int,
did int
)
CREATE TABLE conference (
cid int,
homepage varchar,
name varchar
)
CREATE TABLE writes (
aid int,
pid int
)
CREATE TABLE domain_keyword (
did int,
kid int
)
CREATE TABLE domain_publication (
did int,
pid int
)
CREATE TABLE organization (
continent varchar,
homepage varchar,
name varchar,
oid int
)
CREATE TABLE publication_keyword (
kid int,
pid int
)
CREATE TABLE cite (
cited int,
citing int
)
CREATE TABLE domain_author (
aid int,
did int
)
CREATE TABLE domain (
did int,
name varchar
)
|
SELECT COUNT(DISTINCT (keyword.keyword)) FROM journal, keyword, publication, publication_keyword WHERE journal.name = 'PVLDB' AND publication_keyword.kid = keyword.kid AND publication.jid = journal.jid AND publication.pid = publication_keyword.pid
|
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Wat is the tax source system code and master customer id of the taxes related to each parking fine id?
|
CREATE TABLE council_tax (
council_tax_id number,
cmi_cross_ref_id number
)
CREATE TABLE electoral_register (
electoral_register_id number,
cmi_cross_ref_id number
)
CREATE TABLE parking_fines (
council_tax_id number,
cmi_cross_ref_id number
)
CREATE TABLE customer_master_index (
master_customer_id number,
cmi_details text
)
CREATE TABLE business_rates (
business_rates_id number,
cmi_cross_ref_id number
)
CREATE TABLE benefits_overpayments (
council_tax_id number,
cmi_cross_ref_id number
)
CREATE TABLE rent_arrears (
council_tax_id number,
cmi_cross_ref_id number
)
CREATE TABLE cmi_cross_references (
cmi_cross_ref_id number,
master_customer_id number,
source_system_code text
)
|
SELECT T1.source_system_code, T1.master_customer_id, T2.council_tax_id FROM cmi_cross_references AS T1 JOIN parking_fines AS T2 ON T1.cmi_cross_ref_id = T2.cmi_cross_ref_id
|
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Who is the runner(s)-up with a winning score of +4 (74-77-75=226)?
|
CREATE TABLE table_13683 (
"Date" text,
"Tournament" text,
"Winning score" text,
"Margin of victory" text,
"Runner(s)-up" text
)
|
SELECT "Runner(s)-up" FROM table_13683 WHERE "Winning score" = '+4 (74-77-75=226)'
|
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What is the percentage of votes for the party that has Seats of 80?
|
CREATE TABLE table_52369 (
"Party" text,
"Leader" text,
"Votes" real,
"Percentage" text,
"Seats" real
)
|
SELECT "Percentage" FROM table_52369 WHERE "Seats" = '80'
|
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What years were the Iowa State school/club team have a jazz club?
|
CREATE TABLE table_11545282_19 (years_for_jazz VARCHAR, school_club_team VARCHAR)
|
SELECT years_for_jazz FROM table_11545282_19 WHERE school_club_team = "Iowa State"
|
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How much money does the player with a 72-70-71-72=285 score have?
|
CREATE TABLE table_60503 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" text,
"Money ( \u00a3 )" text
)
|
SELECT "Money ( \u00a3 )" FROM table_60503 WHERE "Score" = '72-70-71-72=285'
|
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Where was the game played when the record was 16 11?
|
CREATE TABLE table_27723228_8 (
location_attendance VARCHAR,
record VARCHAR
)
|
SELECT location_attendance FROM table_27723228_8 WHERE record = "16–11"
|
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[
3,
23143,
14196,
1128,
834,
15116,
663,
21680,
953,
834,
2555,
5865,
2668,
2577,
834,
927,
549,
17444,
427,
1368,
3274,
96,
2938,
104,
2596,
121,
1,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
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-100,
-100,
-100,
-100,
-100,
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-100,
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-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
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-100,
-100,
-100,
-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
A line chart for returning the number of the dates of birth for entrepreneurs who have either the investor Simon Woodroffe or Peter Jones, could you order X in descending order?
|
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
)
|
SELECT Date_of_Birth, COUNT(Date_of_Birth) FROM entrepreneur AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID WHERE T1.Investor = "Simon Woodroffe" OR T1.Investor = "Peter Jones" ORDER BY Date_of_Birth DESC
|
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32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
3,
12290,
41,
26696,
834,
4309,
16,
17,
6,
2449,
834,
4309,
16,
17,
6,
1958,
1499,
6,
8833,
834,
1649,
835,
6265,
490,
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16873,
1499,
3,
61,
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14230,
490,
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858,
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279,
23,
52,
189,
1499,
3,
61,
3,
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32103,
32101,
32103,
71,
689,
5059,
21,
7646,
8,
381,
13,
8,
5128,
13,
3879,
21,
9970,
113,
43,
893,
8,
12024,
6308,
2985,
52,
1647,
15,
42,
2737,
6193,
6,
228,
25,
455,
3,
4,
16,
3,
30960,
455,
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] |
[
3,
23143,
14196,
7678,
834,
858,
834,
279,
23,
52,
189,
6,
2847,
17161,
599,
308,
342,
834,
858,
834,
279,
23,
52,
189,
61,
21680,
3,
12290,
6157,
332,
536,
3,
15355,
3162,
151,
6157,
332,
357,
9191,
332,
5411,
24337,
834,
4309,
3274,
332,
4416,
24337,
834,
4309,
549,
17444,
427,
332,
5411,
13898,
127,
3274,
96,
134,
23,
2157,
2985,
52,
1647,
15,
121,
4674,
332,
5411,
13898,
127,
3274,
96,
345,
15,
449,
6193,
121,
4674,
11300,
272,
476,
7678,
834,
858,
834,
279,
23,
52,
189,
309,
25067,
1,
-100,
-100,
-100,
-100,
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-100,
-100,
-100
] |
how many patients born before 1879 were ordered calculated hematocrit lab test?
|
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
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dob_year < "1879" AND lab.label = "Hematocrit, Calculated"
|
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Name the kr narayanan votes for values being 936 for kr
|
CREATE TABLE table_22897453_1 (kr_narayanan__votes_ VARCHAR, kr_narayanan__values_ VARCHAR)
|
SELECT kr_narayanan__votes_ FROM table_22897453_1 WHERE kr_narayanan__values_ = 936
|
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] |
Which city has the highest temperature in February?
|
CREATE TABLE city (city VARCHAR, city_id VARCHAR); CREATE TABLE temperature (city_id VARCHAR, Feb VARCHAR)
|
SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id ORDER BY T2.Feb DESC LIMIT 1
|
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what is the number of players who have points less than 30 for each position?, and list x axis in ascending order.
|
CREATE TABLE club_rank (
Rank real,
Club_ID int,
Gold real,
Silver real,
Bronze real,
Total real
)
CREATE TABLE competition_result (
Competition_ID int,
Club_ID_1 int,
Club_ID_2 int,
Score text
)
CREATE TABLE player (
Player_ID int,
name text,
Position text,
Club_ID int,
Apps real,
Tries real,
Goals text,
Points real
)
CREATE TABLE competition (
Competition_ID int,
Year real,
Competition_type text,
Country text
)
CREATE TABLE club (
Club_ID int,
name text,
Region text,
Start_year text
)
|
SELECT Position, COUNT(*) FROM player WHERE Points < 30 GROUP BY Position ORDER BY Position
|
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What is the largest number of wickets when there are more than 630 maidens and a best of 7/72?
|
CREATE TABLE table_name_55 (wickets INTEGER, maidens VARCHAR, best VARCHAR)
|
SELECT MAX(wickets) FROM table_name_55 WHERE maidens > 630 AND best = "7/72"
|
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what was the total crowd in the game where the home teams score was 18.12 (120)
|
CREATE TABLE table_53519 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
)
|
SELECT MIN("Crowd") FROM table_53519 WHERE "Home team score" = '18.12 (120)'
|
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what is the highest number of draws for sveikata kybartai
|
CREATE TABLE table_1403 (
"Position" real,
"Club" text,
"Games played" real,
"Wins" real,
"Draws" real,
"Loses" real,
"Goals scored" real,
"Goals conceded" real,
"Points" real
)
|
SELECT MAX("Draws") FROM table_1403 WHERE "Club" = 'Sveikata Kybartai'
|
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] |
What is the Date of the Test match of Australia in England at The Oval Venue?
|
CREATE TABLE table_name_12 (
date VARCHAR,
venue VARCHAR
)
|
SELECT date FROM table_name_12 WHERE venue = "the oval"
|
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For all employees who have the letters D or S in their first name, return a bar chart about the distribution of job_id and the average of employee_id , and group by attribute job_id, and rank in asc by the y-axis.
|
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 jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
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 departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
|
SELECT JOB_ID, AVG(EMPLOYEE_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY AVG(EMPLOYEE_ID)
|
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what is the number of patients whose discharge location is dead/expired and procedure short title is exc/des hrt les,endovasc?
|
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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.discharge_location = "DEAD/EXPIRED" AND procedures.short_title = "Exc/des hrt les,endovasc"
|
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How many different values if the number is high rebounds can be found for the game on March 13?
|
CREATE TABLE table_840 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location Attendance" text,
"Record" text
)
|
SELECT COUNT("High rebounds") FROM table_840 WHERE "Date" = 'March 13'
|
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Name the most fa cup apps for league apps being 27
|
CREATE TABLE table_2979789_1 (
fa_cup_apps INTEGER,
league_apps VARCHAR
)
|
SELECT MAX(fa_cup_apps) FROM table_2979789_1 WHERE league_apps = 27
|
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What is every production code for episode # 13?
|
CREATE TABLE table_26052 (
"Episode #" real,
"Season #" real,
"Title" text,
"Directed by" text,
"Written by" text,
"Original airdate" text,
"Production code (order they were made) #" real
)
|
SELECT "Production code (order they were made) #" FROM table_26052 WHERE "Episode #" = '13'
|
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How many TFR were there in 2006 when the GFR was 53.8?
|
CREATE TABLE table_12251936_1 (
tfr_2006 VARCHAR,
gfr_2006 VARCHAR
)
|
SELECT tfr_2006 FROM table_12251936_1 WHERE gfr_2006 = "53.8"
|
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how many patients are with admission type elective and diagnosed for sebaceous cyst?
|
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
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.admission_type = "ELECTIVE" AND diagnoses.long_title = "Sebaceous cyst"
|
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What is the average capacity of the stadiums that were opened in year 2005?
|
CREATE TABLE stadium (capacity INTEGER, opening_year VARCHAR)
|
SELECT AVG(capacity) FROM stadium WHERE opening_year = 2005
|
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What is the Name when the runner-up was Sania Mirza Elena Vesnina?
|
CREATE TABLE table_62820 (
"Location" text,
"Year" text,
"Champion" text,
"Runner-up" text,
"Score" text,
"Name" text
)
|
SELECT "Name" FROM table_62820 WHERE "Runner-up" = 'sania mirza elena vesnina'
|
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What is the name of the airport in the city of Kota Kinabalu?
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CREATE TABLE table_name_85 (airport VARCHAR, city VARCHAR)
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SELECT airport FROM table_name_85 WHERE city = "kota kinabalu"
|
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Who was Purdue's opponent?
|
CREATE TABLE table_79144 (
"Date" text,
"Bowl Game" text,
"Big Ten Team" text,
"Opp. Team" text,
"Score" text
)
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SELECT "Opp. Team" FROM table_79144 WHERE "Big Ten Team" = 'purdue'
|
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For those records from the products and each product's manufacturer, draw a scatter chart about the correlation between code and revenue , and group by attribute founder.
|
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.Code, T2.Revenue FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder
|
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how many hispanic or latino patients are prescribed ambisome medication?
|
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
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "HISPANIC OR LATINO" AND prescriptions.drug = "Ambisome"
|
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Which Nationality has a Pick larger than 109, and a Round smaller than 5?
|
CREATE TABLE table_name_9 (nationality VARCHAR, pick VARCHAR, round VARCHAR)
|
SELECT nationality FROM table_name_9 WHERE pick > 109 AND round < 5
|
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] |
What is the lowest date settled for chifley?
|
CREATE TABLE table_1174162_1 (date_first_settled_as_a_suburb INTEGER, suburb VARCHAR)
|
SELECT MIN(date_first_settled_as_a_suburb) FROM table_1174162_1 WHERE suburb = "Chifley"
|
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] |
patients who meet any of the following criteria will not be enrolled in the study: < 18 years of age, non _ english speakers, deceased at time of survey, and / or unable to provide consent
|
CREATE TABLE table_test_32 (
"id" int,
"anemia" bool,
"symptomatic_disease" bool,
"language" string,
"deceased" bool,
"abdominal_pain" bool,
"fever" bool,
"arthralgia" bool,
"unable_provide_consent" bool,
"headache" bool,
"myalgia" bool,
"rash" bool,
"thrombocytopenia" float,
"hepatomegaly" bool,
"splenomegaly" bool,
"hemorrhage" bool,
"hb" float,
"symptomatic_lymphadenopathy" bool,
"age" float,
"NOUSE" float
)
|
SELECT * FROM table_test_32 WHERE age < 18 OR language <> 'english' OR deceased = 1 OR unable_provide_consent = 1
|
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Which Runner-up has a Winning score of 20 (70-69-64-65=268)?
|
CREATE TABLE table_name_69 (
runner_up VARCHAR,
winning_score VARCHAR
)
|
SELECT runner_up FROM table_name_69 WHERE winning_score = −20(70 - 69 - 64 - 65 = 268)
|
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What is the venue of North Melbourne?
|
CREATE TABLE table_57473 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
)
|
SELECT "Venue" FROM table_57473 WHERE "Home team" = 'north melbourne'
|
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Count the number of spanish speaking patients who had an alkaline phosphatase lab test.
|
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.language = "SPAN" AND lab.label = "Alkaline Phosphatase"
|
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how many schools or teams had jalen rose
|
CREATE TABLE table_10015132_16 (school_club_team VARCHAR, player VARCHAR)
|
SELECT COUNT(school_club_team) FROM table_10015132_16 WHERE player = "Jalen Rose"
|
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What primary sponsor has the owner Rick Hendrick and their crew chief is Alan Gustafson?
|
CREATE TABLE table_15222 (
"Team" text,
"Car(s)" text,
"Driver(s)" text,
"Primary Sponsor(s)" text,
"Owner(s)" text,
"Crew Chief" text
)
|
SELECT "Primary Sponsor(s)" FROM table_15222 WHERE "Owner(s)" = 'rick hendrick' AND "Crew Chief" = 'alan gustafson'
|
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Who was the subject for the year of 2007?
|
CREATE TABLE table_name_35 (
subject VARCHAR,
year VARCHAR
)
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SELECT subject FROM table_name_35 WHERE year = "2007"
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What is the longest number of weeks any 1 song was at number #1?
|
CREATE TABLE table_19542477_9 (whole_weeks INTEGER)
|
SELECT MAX(whole_weeks) FROM table_19542477_9
|
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] |
How many allergies are there?
|
CREATE TABLE Allergy_type (
allergy VARCHAR
)
|
SELECT COUNT(DISTINCT allergy) FROM Allergy_type
|
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What is Weight, when Length is 1168mm / 46 in?
|
CREATE TABLE table_name_13 (
weight VARCHAR,
length VARCHAR
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|
SELECT weight FROM table_name_13 WHERE length = "1168mm / 46 in"
|
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What was the Attendance when Lincoln City was the Opponents with H/A of A?
|
CREATE TABLE table_34045 (
"Date" text,
"Opponents" text,
"H / A" text,
"Result F \u2013 A" text,
"Attendance" real
)
|
SELECT COUNT("Attendance") FROM table_34045 WHERE "Opponents" = 'lincoln city' AND "H / A" = 'a'
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What is the number of against when Central Murray is Tooleybuc Manangatang and there are fewer than 13 wins?
|
CREATE TABLE table_name_90 (
against INTEGER,
central_murray VARCHAR,
wins VARCHAR
)
|
SELECT MAX(against) FROM table_name_90 WHERE central_murray = "tooleybuc manangatang" AND wins < 13
|
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give the number of patients whose admission location is trsf within this facility and procedure icd9 code is 3734.
|
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_location = "TRSF WITHIN THIS FACILITY" AND procedures.icd9_code = "3734"
|
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What is the home team at the Junction Oval venue?
|
CREATE TABLE table_name_14 (
home_team VARCHAR,
venue VARCHAR
)
|
SELECT home_team FROM table_name_14 WHERE venue = "junction oval"
|
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Tell me the highest cuts made with wins more than 1
|
CREATE TABLE table_name_5 (
cuts_made INTEGER,
wins INTEGER
)
|
SELECT MAX(cuts_made) FROM table_name_5 WHERE wins > 1
|
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provide the number of patients whose discharge location is long term care hospital and diagnoses long title is hypotension of hemodialysis?
|
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.discharge_location = "LONG TERM CARE HOSPITAL" AND diagnoses.long_title = "Hypotension of hemodialysis"
|
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Name the number of women's doubles for 1986
|
CREATE TABLE table_13845918_3 (
womens_doubles VARCHAR,
year VARCHAR
)
|
SELECT COUNT(womens_doubles) FROM table_13845918_3 WHERE year = "1986"
|
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] |
what was the number of games that occurred on 14 february 1976 ?
|
CREATE TABLE table_204_861 (
id number,
"tie no" number,
"home team" text,
"score" text,
"away team" text,
"date" text
)
|
SELECT COUNT(*) FROM table_204_861 WHERE "date" = '14 february 1976'
|
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] |
If Arthur Albert is the director, what is the maximum series number?
|
CREATE TABLE table_17356106_1 (series__number INTEGER, directed_by VARCHAR)
|
SELECT MAX(series__number) FROM table_17356106_1 WHERE directed_by = "Arthur Albert"
|
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Which Name has a Date of 11 june 1940?
|
CREATE TABLE table_48277 (
"Date" text,
"U-boat" text,
"Name" text,
"Nationality" text,
"Tonnage (GRT)" real,
"Fate" text
)
|
SELECT "Name" FROM table_48277 WHERE "Date" = '11 june 1940'
|
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for how many years did hallgrimur sveinsson serve as the bishop of iceland ?
|
CREATE TABLE table_203_875 (
id number,
"#" number,
"name" text,
"birth and death" text,
"office started" text,
"office ended" text
)
|
SELECT "office ended" - "office started" FROM table_203_875 WHERE "name" = 'hallgrimur sveinsson'
|
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