NATURAL_LANG stringlengths 0 446 | SCHEMA stringlengths 27 2.21k | SQL stringlengths 18 453 | input_ids list | attention_mask list | labels list |
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For those employees who did not have any job in the past, a bar chart shows the distribution of hire_date and the sum of manager_id bin hire_date by time. | CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
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 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 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 NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) | [
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What is the score that the player who placed t4 from the united states get? | CREATE TABLE table_43180 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" text
) | SELECT "Score" FROM table_43180 WHERE "Country" = 'united states' AND "Place" = 't4' | [
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In what group stage were 177.2 points awarded? | CREATE TABLE table_1059743_2 (
group_stage VARCHAR,
points VARCHAR
) | SELECT COUNT(group_stage) FROM table_1059743_2 WHERE points = "177.2" | [
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How many years was the title drop dead? | CREATE TABLE table_name_94 (year VARCHAR, title VARCHAR) | SELECT COUNT(year) FROM table_name_94 WHERE title = "drop dead" | [
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What was the score when the match was in the country of Scotland? | CREATE TABLE table_name_58 (
score VARCHAR,
country VARCHAR
) | SELECT score FROM table_name_58 WHERE country = "scotland" | [
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Name the percentage of votes for 3rd finished | CREATE TABLE table_26267849_11 (
percentage_of_votes VARCHAR,
finished VARCHAR
) | SELECT percentage_of_votes FROM table_26267849_11 WHERE finished = "3rd" | [
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What date was Richmond the home team? | CREATE TABLE table_10638 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
) | SELECT "Date" FROM table_10638 WHERE "Home team" = 'richmond' | [
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count the number of patients whose primary disease is aortic insufficiency\re-do sternotomy; aortic valve replacement ? | 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 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
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What team is sponsored by d3 Outdoors? | CREATE TABLE table_19908313_2 (team VARCHAR, primary_sponsor_s_ VARCHAR) | SELECT team FROM table_19908313_2 WHERE primary_sponsor_s_ = "D3 Outdoors" | [
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what is the points against when drawn is drawn? | CREATE TABLE table_name_96 (
points_against VARCHAR
) | SELECT points_against FROM table_name_96 WHERE "drawn" = "drawn" | [
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Which captain's manager is Joe Royle? | CREATE TABLE table_14635 (
"Team" text,
"Manager" text,
"Captain" text,
"Kit manufacturer" text,
"Shirt sponsor" text
) | SELECT "Captain" FROM table_14635 WHERE "Manager" = 'joe royle' | [
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What in 2013 has a 2009 of 3r? | CREATE TABLE table_name_29 (
Id VARCHAR
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What team owns the car owned by chip ganassi? | CREATE TABLE table_27303 (
"Team" text,
"#" real,
"Primary Sponsor" text,
"Driver(s)" text,
"Listed Owner(s)" text,
"Engine" text,
"Chassis" text
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What was the result F-A for round 5? | CREATE TABLE table_8223 (
"Date" text,
"Round" text,
"Opponents" text,
"H / A" text,
"Result F \u2013 A" text,
"Attendance" real
) | SELECT "Result F \u2013 A" FROM table_8223 WHERE "Round" = 'round 5' | [
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For those records from the products and each product's manufacturer, give me the comparison about the average of price over the founder , and group by attribute founder by a bar chart, rank in desc by the x-axis. | 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 Founder, AVG(Price) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder ORDER BY Founder DESC | [
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Who is 111years, 358days Age as of 1 February 2014? | CREATE TABLE table_36013 (
"Name" text,
"Birth date" text,
"Age as of 1 February 2014" text,
"Country of birth" text,
"Place of residence" text
) | SELECT "Name" FROM table_36013 WHERE "Age as of 1 February 2014" = '111years, 358days' | [
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What's the most races with less than 10 podiums and 1st position? | CREATE TABLE table_name_27 (races INTEGER, position VARCHAR, podiums VARCHAR) | SELECT MAX(races) FROM table_name_27 WHERE position = "1st" AND podiums < 10 | [
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provide the number of patients whose diagnosis short title is acidosis and lab test fluid is urine. | 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
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Acidosis" AND lab.fluid = "Urine" | [
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how many times has he been runner up ? | CREATE TABLE table_203_359 (
id number,
"outcome" text,
"year" number,
"championship" text,
"surface" text,
"opponent" text,
"score" text
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What was the minimum pick by the Florida Panthers? | CREATE TABLE table_2781227_11 (
pick INTEGER,
nhl_team VARCHAR
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What prize did good old boy win in 2002 at the camra london and south east regional competition? | CREATE TABLE table_name_31 (
prize VARCHAR,
beer_name VARCHAR,
year VARCHAR,
competition VARCHAR
) | SELECT prize FROM table_name_31 WHERE year > 2002 AND competition = "camra london and south east regional competition" AND beer_name = "good old boy" | [
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What was the average number of fastest laps with less than 0 poles? | CREATE TABLE table_45053 (
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"Races" real,
"Wins" real,
"Podiums" real,
"Poles" real,
"Fastest Laps" real
) | SELECT AVG("Fastest Laps") FROM table_45053 WHERE "Poles" < '0' | [
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WHAT IS THE AWAY TEAM WITH A TIE NUMBER 1? | CREATE TABLE table_name_46 (
away_team VARCHAR,
tie_no VARCHAR
) | SELECT away_team FROM table_name_46 WHERE tie_no = "1" | [
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Find the average of credits of courses that have more than one prerequisite for each title with a bar chart, and list in asc by the y axis. | CREATE TABLE student (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
tot_cred numeric(3,0)
)
CREATE TABLE course (
course_id varchar(8),
title varchar(50),
dept_name varchar(20),
credits numeric(2,0)
)
CREATE TABLE department (
dept_name varchar(20),
building varchar(15),
budget numeric(12,2)
)
CREATE TABLE section (
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0),
building varchar(15),
room_number varchar(7),
time_slot_id varchar(4)
)
CREATE TABLE takes (
ID varchar(5),
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0),
grade varchar(2)
)
CREATE TABLE advisor (
s_ID varchar(5),
i_ID varchar(5)
)
CREATE TABLE classroom (
building varchar(15),
room_number varchar(7),
capacity numeric(4,0)
)
CREATE TABLE teaches (
ID varchar(5),
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0)
)
CREATE TABLE instructor (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
salary numeric(8,2)
)
CREATE TABLE prereq (
course_id varchar(8),
prereq_id varchar(8)
)
CREATE TABLE time_slot (
time_slot_id varchar(4),
day varchar(1),
start_hr numeric(2),
start_min numeric(2),
end_hr numeric(2),
end_min numeric(2)
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What year was the game that ended with a score of 24-14? | CREATE TABLE table_name_22 (
year INTEGER,
result VARCHAR
) | SELECT AVG(year) FROM table_name_22 WHERE result = "24-14" | [
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What is the highest of ayr united? | CREATE TABLE table_16501 (
"Team" text,
"Stadium" text,
"Capacity" real,
"Highest" real,
"Lowest" real,
"Average" real
) | SELECT MIN("Highest") FROM table_16501 WHERE "Team" = 'Ayr United' | [
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Which 2012 has a 2008 of 24,473, and a 2009 smaller than 25,616? | CREATE TABLE table_13401 (
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"2011" real,
"2010" real,
"2009" real,
"2008" real
) | SELECT MIN("2012") FROM table_13401 WHERE "2008" = '24,473' AND "2009" < '25,616' | [
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what are the top three most frequent diagnoses among patients of age 60 or above? | 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 intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
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
)
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 diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
) | SELECT t1.diagnosisname FROM (SELECT diagnosis.diagnosisname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM diagnosis WHERE diagnosis.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.age >= 60) GROUP BY diagnosis.diagnosisname) AS t1 WHERE t1.c1 <= 3 | [
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What is the Enrollment at Onalaska? | CREATE TABLE table_name_93 (enrollment INTEGER, location VARCHAR) | SELECT MAX(enrollment) FROM table_name_93 WHERE location = "onalaska" | [
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How many are the total winners from South Korea? | CREATE TABLE table_1833 (
"Country" text,
"Mens Open" real,
"Womens Open" real,
"Mens Wheelchair" real,
"Womens Wheelchair" real,
"Total" real
) | SELECT "Total" FROM table_1833 WHERE "Country" = 'South Korea' | [
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What is name of the drive with a Time of +13.315? | CREATE TABLE table_34923 (
"Team" text,
"Driver" text,
"Laps" real,
"Time" text,
"Grid" real
) | SELECT "Driver" FROM table_34923 WHERE "Time" = '+13.315' | [
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count the number of special diplomatic agents and give that number . | CREATE TABLE table_203_69 (
id number,
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"to" number,
"appointed by" text
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Which Score has a Place of 3? | CREATE TABLE table_name_18 (
score VARCHAR,
place VARCHAR
) | SELECT score FROM table_name_18 WHERE place = "3" | [
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What away game had a time of 10:00? | CREATE TABLE table_7340 (
"Date" text,
"Time" text,
"Home" text,
"Away" text,
"Score" text,
"Ground" text
) | SELECT "Away" FROM table_7340 WHERE "Time" = '10:00' | [
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Calculate the minimum age of female patients who had gastrointestinal bleed as their primary disease? | 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 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 MIN(demographic.age) FROM demographic WHERE demographic.gender = "F" AND demographic.diagnosis = "GASTROINTESTINAL BLEED" | [
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Who got the time of 7:52.04? | CREATE TABLE table_name_41 (
swimmer VARCHAR,
time VARCHAR
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Name the total number of step 6 for 11 gs grade | CREATE TABLE table_25710 (
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"Step 1" text,
"Step 2" text,
"Step 3" text,
"Step 4" text,
"Step 5" text,
"Step 6" text,
"Step 7" text,
"Step 8" text,
"Step 9" text,
"Step 10" text
) | SELECT COUNT("Step 6") FROM table_25710 WHERE "GS Grade" = '11' | [
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Which team drafted Travis Brigley? | CREATE TABLE table_2840500_2 (
nhl_team VARCHAR,
player VARCHAR
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When rank is 7 and silver is less than 0, what is the total gold? | CREATE TABLE table_name_17 (
gold INTEGER,
rank VARCHAR,
silver VARCHAR
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What team played between the years of 2008-2010? | CREATE TABLE table_name_75 (
team VARCHAR,
played VARCHAR
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Which player has an Other of 3 (15)? | CREATE TABLE table_name_7 (name VARCHAR, other VARCHAR) | SELECT name FROM table_name_7 WHERE other = "3 (15)" | [
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Who is the candidate that had 10 fired in week 2 (1-27-2005)? | CREATE TABLE table_name_45 (candidate VARCHAR, result VARCHAR) | SELECT candidate FROM table_name_45 WHERE result = "10 fired in week 2 (1-27-2005)" | [
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For those employees who do not work in departments with managers that have ids between 100 and 200, find phone_number and commission_pct , and visualize them by a bar chart. | 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 departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
) | SELECT PHONE_NUMBER, COMMISSION_PCT FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) | [
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find out the number of patients admitted before 2150 who had free calcium lab test. | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE 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
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2150" AND lab.label = "Free Calcium" | [
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Find the minimum salary for the departments whose average salary is above the average payment of all instructors Plot them as bar chart, and could you list X-axis from high to low order? | CREATE TABLE student (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
tot_cred numeric(3,0)
)
CREATE TABLE prereq (
course_id varchar(8),
prereq_id varchar(8)
)
CREATE TABLE time_slot (
time_slot_id varchar(4),
day varchar(1),
start_hr numeric(2),
start_min numeric(2),
end_hr numeric(2),
end_min numeric(2)
)
CREATE TABLE instructor (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
salary numeric(8,2)
)
CREATE TABLE department (
dept_name varchar(20),
building varchar(15),
budget numeric(12,2)
)
CREATE TABLE teaches (
ID varchar(5),
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0)
)
CREATE TABLE section (
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0),
building varchar(15),
room_number varchar(7),
time_slot_id varchar(4)
)
CREATE TABLE advisor (
s_ID varchar(5),
i_ID varchar(5)
)
CREATE TABLE takes (
ID varchar(5),
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0),
grade varchar(2)
)
CREATE TABLE course (
course_id varchar(8),
title varchar(50),
dept_name varchar(20),
credits numeric(2,0)
)
CREATE TABLE classroom (
building varchar(15),
room_number varchar(7),
capacity numeric(4,0)
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which Place has a Player of mark brooks? | CREATE TABLE table_name_30 (place VARCHAR, player VARCHAR) | SELECT place FROM table_name_30 WHERE player = "mark brooks" | [
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18 to 75 years of age | CREATE TABLE table_train_226 (
"id" int,
"gender" string,
"pregnancy_or_lactation" bool,
"active_metabolic" bool,
"diabetic" string,
"hepatic_disease" bool,
"gastrointestinal_disease" bool,
"body_mass_index_bmi" float,
"age" float,
"NOUSE" float
) | SELECT * FROM table_train_226 WHERE age >= 18 AND age <= 75 | [
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what is the year when the driver was kevin lepage? | CREATE TABLE table_name_87 (year INTEGER, driver VARCHAR) | SELECT SUM(year) FROM table_name_87 WHERE driver = "kevin lepage" | [
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Which class has less than 3 in quantity with a type of 4-6-0? | CREATE TABLE table_10414 (
"Class" text,
"Type" text,
"Quantity" real,
"Date" text,
"LNER Class" text,
"1946 LNER nos." text
) | SELECT "Class" FROM table_10414 WHERE "Type" = '4-6-0' AND "Quantity" < '3' | [
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Give me a bar chart showing the number of buildings managed by 'Kyle' and group by apartment type codes. | CREATE TABLE View_Unit_Status (
apt_id INTEGER,
apt_booking_id INTEGER,
status_date DATETIME,
available_yn BIT
)
CREATE TABLE Apartment_Facilities (
apt_id INTEGER,
facility_code CHAR(15)
)
CREATE TABLE Apartments (
apt_id INTEGER,
building_id INTEGER,
apt_type_code CHAR(15),
apt_number CHAR(10),
bathroom_count INTEGER,
bedroom_count INTEGER,
room_count CHAR(5)
)
CREATE TABLE Apartment_Bookings (
apt_booking_id INTEGER,
apt_id INTEGER,
guest_id INTEGER,
booking_status_code CHAR(15),
booking_start_date DATETIME,
booking_end_date DATETIME
)
CREATE TABLE Apartment_Buildings (
building_id INTEGER,
building_short_name CHAR(15),
building_full_name VARCHAR(80),
building_description VARCHAR(255),
building_address VARCHAR(255),
building_manager VARCHAR(50),
building_phone VARCHAR(80)
)
CREATE TABLE Guests (
guest_id INTEGER,
gender_code CHAR(1),
guest_first_name VARCHAR(80),
guest_last_name VARCHAR(80),
date_of_birth DATETIME
) | SELECT apt_type_code, COUNT(apt_type_code) FROM Apartment_Buildings AS T1 JOIN Apartments AS T2 ON T1.building_id = T2.building_id WHERE T1.building_manager = "Kyle" GROUP BY apt_type_code | [
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In what year did Rafa Kurma ski come in 2nd place? | CREATE TABLE table_70988 (
"Year" text,
"Venue" text,
"Winners" text,
"2nd place" text,
"3rd place" text
) | SELECT "Year" FROM table_70988 WHERE "2nd place" = 'rafał kurmański' | [
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Name the date for lebron james , mo williams (21) | CREATE TABLE table_25200 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location Attendance" text,
"Record" text
) | SELECT "Date" FROM table_25200 WHERE "High points" = 'LeBron James , Mo Williams (21)' | [
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What was the Result on May 30? | CREATE TABLE table_name_66 (result VARCHAR, date VARCHAR) | SELECT result FROM table_name_66 WHERE date = "may 30" | [
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What dated the episode written by is adam e. fierro & glen mazzara air? | CREATE TABLE table_31444 (
"Series #" real,
"Season #" real,
"Title" text,
"Directed by" text,
"Written by" text,
"Original air date" text,
"Viewers (million)" text
) | SELECT "Original air date" FROM table_31444 WHERE "Written by" = 'Adam E. Fierro & Glen Mazzara' | [
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A bar chart for what are the number of the last names for all scholarship students?, rank y-axis in asc order please. | CREATE TABLE Video_Games (
GameID INTEGER,
GName VARCHAR(40),
GType VARCHAR(40)
)
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 SportsInfo (
StuID INTEGER,
SportName VARCHAR(32),
HoursPerWeek INTEGER,
GamesPlayed INTEGER,
OnScholarship VARCHAR(1)
)
CREATE TABLE Plays_Games (
StuID INTEGER,
GameID INTEGER,
Hours_Played INTEGER
) | SELECT LName, COUNT(LName) FROM SportsInfo AS T1 JOIN Student AS T2 ON T1.StuID = T2.StuID WHERE T1.OnScholarship = 'Y' GROUP BY LName ORDER BY COUNT(LName) | [
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What position does allister brown play. | CREATE TABLE table_74288 (
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"Player" text,
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"Nationality" text,
"NHL team" text,
"College/junior/club team" text
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How many people attended the game with home team Witton Albion? | CREATE TABLE table_name_74 (
attendance VARCHAR,
home_team VARCHAR
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Which venue had an opponent of Sunderland and a result of a 1-1 draw? | CREATE TABLE table_name_40 (
venue VARCHAR,
opponent VARCHAR,
result VARCHAR
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What's listed as the First Day Cover Cancellation with a Date of Issue of 13 June 2005? | CREATE TABLE table_54126 (
"Date of Issue" text,
"Denomination" text,
"Design" text,
"Paper Type" text,
"First Day Cover Cancellation" text
) | SELECT "First Day Cover Cancellation" FROM table_54126 WHERE "Date of Issue" = '13 june 2005' | [
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Bar chart x axis job y axis the average of age, and sort Y-axis in ascending order please. | CREATE TABLE Person (
name varchar(20),
age INTEGER,
city TEXT,
gender TEXT,
job TEXT
)
CREATE TABLE PersonFriend (
name varchar(20),
friend varchar(20),
year INTEGER
) | SELECT job, AVG(age) FROM Person GROUP BY job ORDER BY AVG(age) | [
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Tell me the versions for czechoslovakia? | CREATE TABLE table_name_80 (
versions VARCHAR,
origin VARCHAR
) | SELECT versions FROM table_name_80 WHERE origin = "czechoslovakia" | [
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What is the highest Division when the playoffs were the quarter finals, with a Regular Season of 5th? | CREATE TABLE table_70559 (
"Year" real,
"Division" real,
"League" text,
"Regular Season" text,
"Playoffs" text,
"Open Cup" text
) | SELECT MAX("Division") FROM table_70559 WHERE "Playoffs" = 'quarter finals' AND "Regular Season" = '5th' | [
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What is the value for 2010 when the value for 2006 is A and the value for 2009 is 1R? | CREATE TABLE table_name_59 (Id VARCHAR) | SELECT 2010 FROM table_name_59 WHERE 2006 = "a" AND 2009 = "1r" | [
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What position do the bc lions pick? | CREATE TABLE table_11725 (
"Pick #" real,
"CFL Team" text,
"Player" text,
"Position" text,
"College" text
) | SELECT "Position" FROM table_11725 WHERE "CFL Team" = 'bc lions' | [
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Who was their opponent in game 4? | CREATE TABLE table_name_77 (
opponent VARCHAR,
game VARCHAR
) | SELECT opponent FROM table_name_77 WHERE game = "4" | [
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What is the time/retired for eddie irvine with a grid of greater than 3? | CREATE TABLE table_name_84 (time_retired VARCHAR, grid VARCHAR, driver VARCHAR) | SELECT time_retired FROM table_name_84 WHERE grid > 3 AND driver = "eddie irvine" | [
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count the number of patients whose age is less than 68 and drug code is maal30l? | 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
)
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.age < "68" AND prescriptions.formulary_drug_cd = "MAAL30L" | [
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For those employees who do not work in departments with managers that have ids between 100 and 200, return a bar chart about the distribution of last_name and employee_id , could you display in desc by the EMPLOYEE_ID? | 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 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 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)
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In What Week was the Attendance 75,866? | CREATE TABLE table_52802 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"Attendance" text
) | SELECT "Week" FROM table_52802 WHERE "Attendance" = '75,866' | [
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What date was the game when 40,000 attended? | CREATE TABLE table_name_65 (date VARCHAR, attendance VARCHAR) | SELECT date FROM table_name_65 WHERE attendance = "40,000" | [
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Find me top 5 most popular releases after 2000? | CREATE TABLE torrents (
groupname text,
totalsnatched number,
artist text,
groupyear number,
releasetype text,
groupid number,
id number
)
CREATE TABLE tags (
index number,
id number,
tag text
) | SELECT groupname FROM torrents WHERE groupyear > 2000 ORDER BY totalsnatched DESC LIMIT 5 | [
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What is the holding of the customers? | CREATE TABLE table_name_56 (holding VARCHAR, component VARCHAR) | SELECT holding FROM table_name_56 WHERE component = "customers" | [
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How many wins did Canterbury Wizards have? | CREATE TABLE table_25368177_1 (won INTEGER, team VARCHAR) | SELECT MAX(won) FROM table_25368177_1 WHERE team = "Canterbury Wizards" | [
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glycated hemoglobin a1c ( hba1c ) levels of at least 8 % up to and including 12 % as reported within 4 weeks of implant placement | CREATE TABLE table_train_260 (
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"bleeding" int,
"hemoglobin_a1c_hba1c" float,
"leukocyte_dysfunction" bool,
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"serum_creatinine" float,
"NOUSE" float
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Which Round has a NHL team of edmonton oilers and a Player of vyacheslav trukhno? | CREATE TABLE table_name_12 (
round INTEGER,
nhl_team VARCHAR,
player VARCHAR
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What is the Total of kyrgyzstan with a Silver smaller than 0? | CREATE TABLE table_name_97 (
total INTEGER,
nation VARCHAR,
silver VARCHAR
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What are the Odds for the Horse called Ready's Echo? | CREATE TABLE table_name_72 (odds VARCHAR, horse VARCHAR) | SELECT odds FROM table_name_72 WHERE horse = "ready's echo" | [
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How many Ties have Wins smaller than 1, and Games of 6, and Losses of 6, and a Season larger than 1941? | CREATE TABLE table_name_41 (
ties VARCHAR,
season VARCHAR,
losses VARCHAR,
wins VARCHAR,
games VARCHAR
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Name the naming for fluent and poor comprehension | CREATE TABLE table_2088_1 (naming VARCHAR, fluency VARCHAR, auditory_comprehension VARCHAR) | SELECT naming FROM table_2088_1 WHERE fluency = "fluent" AND auditory_comprehension = "poor" | [
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how many parks are name beltzville state park? | CREATE TABLE table_name_77 (date_founded VARCHAR, park_name VARCHAR) | SELECT COUNT(date_founded) FROM table_name_77 WHERE park_name = "beltzville state park" | [
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Tell me the number range for 1965-66 | CREATE TABLE table_31805 (
"Class" text,
"Type" text,
"No. built (Converted*)" text,
"Year built (Converted*)" text,
"No. range" text,
"Withdrawn" real
) | SELECT "No. range" FROM table_31805 WHERE "Year built (Converted*)" = '1965-66' | [
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what's the builder where withdrawn is 1954 1958 | CREATE TABLE table_344 (
"Number Range" text,
"Introduced" text,
"Builder" text,
"Engine" text,
"Weight (long tons)" text,
"Seats" text,
"Withdrawn" text,
"Notes" text
) | SELECT "Builder" FROM table_344 WHERE "Withdrawn" = '1954–1958' | [
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What was the score when the home team was Stockport County? | CREATE TABLE table_47602 (
"Tie no" text,
"Home team" text,
"Score" text,
"Away team" text,
"Date" text
) | SELECT "Score" FROM table_47602 WHERE "Home team" = 'stockport county' | [
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Name the most wins | CREATE TABLE table_1222 (
"Year" real,
"Class" text,
"Team name" text,
"Bike" text,
"Riders" text,
"Races" text,
"Wins" real,
"Podiums" real,
"Poles" real,
"F.laps" real,
"Points" text,
"Pos." text
) | SELECT MIN("Wins") FROM table_1222 | [
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I want to know the 2001 that has a 2004 of a and 2003 of a with 2012 of 3r | CREATE TABLE table_55663 (
"Tournament" text,
"2001" text,
"2002" text,
"2003" text,
"2004" text,
"2005" text,
"2006" text,
"2007" text,
"2008" text,
"2009" text,
"2010" text,
"2011" text,
"2012" text,
"2013" text
) | SELECT "2001" FROM table_55663 WHERE "2004" = 'a' AND "2003" = 'a' AND "2012" = '3r' | [
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Which average time has eithan urbach as a name with a lane bigger than 2? | CREATE TABLE table_name_99 (time INTEGER, name VARCHAR, lane VARCHAR) | SELECT AVG(time) FROM table_name_99 WHERE name = "eithan urbach" AND lane > 2 | [
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WHAT IS THE FORWARD CASTE WITH A SCHEDULED CASTE OF 0.80%? | CREATE TABLE table_8032 (
"Religion" text,
"Scheduled Caste" text,
"Scheduled Tribe" text,
"Other Backward Class" text,
"Forward caste" text
) | SELECT "Forward caste" FROM table_8032 WHERE "Scheduled Caste" = '0.80%' | [
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count the number of patients whose primary disease is syncope;telemetry and who are aged less than 67 years | 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 WHERE demographic.diagnosis = "SYNCOPE;TELEMETRY" AND demographic.age < "67" | [
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Name the F. Goals with tries of 0 0 and games of 05 5 | CREATE TABLE table_name_18 (
tries VARCHAR,
games VARCHAR
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who was the opponent when the attendance was larger than 54,766? | CREATE TABLE table_name_27 (
opponent VARCHAR,
attendance INTEGER
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Name the Shuji Kondo for MAZADA of hijikata (14:24) | CREATE TABLE table_name_61 (
shuji_kondo VARCHAR,
mazada VARCHAR
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what number of patients have diagnosis short title as rec depr psych-psychotic and drug route as po/ng? | 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 procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
) | 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.short_title = "Rec depr psych-psychotic" AND prescriptions.route = "PO/NG" | [
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After 2009, who was the player that has a nationality of Canada? | CREATE TABLE table_77426 (
"Year" real,
"Player" text,
"Position" text,
"Nationality" text,
"Team" text
) | SELECT "Player" FROM table_77426 WHERE "Nationality" = 'canada' AND "Year" > '2009' | [
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Show the names of editors of age either 24 or 25. | CREATE TABLE editor (
Name VARCHAR,
Age VARCHAR
) | SELECT Name FROM editor WHERE Age = 24 OR Age = 25 | [
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What is the prize for the elapsed time of 10 h 10 min? | CREATE TABLE table_22050544_1 (prize VARCHAR, elapsed_time VARCHAR) | SELECT prize FROM table_22050544_1 WHERE elapsed_time = "10 h 10 min" | [
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What College/junior/club team has a Position of centre, and pick is #22? | CREATE TABLE table_36653 (
"Pick #" text,
"Player" text,
"Position" text,
"Nationality" text,
"NHL team" text,
"College/junior/club team" text
) | SELECT "College/junior/club team" FROM table_36653 WHERE "Position" = 'centre' AND "Pick #" = '22' | [
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What is the sum of crowd(s) at princes park? | CREATE TABLE table_name_45 (
crowd INTEGER,
venue VARCHAR
) | SELECT SUM(crowd) FROM table_name_45 WHERE venue = "princes park" | [
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How many touchdowns did the left guard took? | CREATE TABLE table_25711913_2 (
touchdowns INTEGER,
position VARCHAR
) | SELECT MAX(touchdowns) FROM table_25711913_2 WHERE position = "Left guard" | [
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What is the Tie number of when Wigan Athletic was the away team? | CREATE TABLE table_name_34 (
tie_no VARCHAR,
away_team VARCHAR
) | SELECT tie_no FROM table_name_34 WHERE away_team = "wigan athletic" | [
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