NATURAL_LANG
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446
| SCHEMA
stringlengths 27
2.21k
| SQL
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| input_ids
list | attention_mask
list | labels
list |
|---|---|---|---|---|---|
How many results are listed for the election where Noah M. Mason was elected?
|
CREATE TABLE table_1342013_12 (result VARCHAR, incumbent VARCHAR)
|
SELECT COUNT(result) FROM table_1342013_12 WHERE incumbent = "Noah M. Mason"
|
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What kind of Japanese has a Region of t hoku?
|
CREATE TABLE table_41581 (
"Name" text,
"Japanese" text,
"Date of designation" text,
"Date of reclassification" text,
"Region" text,
"Prefecture" text
)
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SELECT "Japanese" FROM table_41581 WHERE "Region" = 'tōhoku'
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List the kilo watt hoours per day for moline.
|
CREATE TABLE table_25034983_2 (day_power___w__ VARCHAR, city VARCHAR)
|
SELECT day_power___w__ FROM table_25034983_2 WHERE city = "Moline"
|
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For those records from the products and each product's manufacturer, return a bar chart about the distribution of founder and the sum of code , and group by attribute founder, show by the X from high to low please.
|
CREATE TABLE Manufacturers (
Code INTEGER,
Name VARCHAR(255),
Headquarter VARCHAR(255),
Founder VARCHAR(255),
Revenue REAL
)
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255),
Price DECIMAL,
Manufacturer INTEGER
)
|
SELECT T2.Founder, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Founder ORDER BY T2.Founder DESC
|
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how many teams completed all 150 laps of the 1998 marlboro grand prix of miami ?
|
CREATE TABLE table_204_477 (
id number,
"pos" number,
"no" number,
"driver" text,
"team" text,
"laps" number,
"time/retired" text,
"grid" number,
"points" number
)
|
SELECT COUNT("team") FROM table_204_477 WHERE "laps" = 150
|
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] |
What is the production code for episode 3 of the season?
|
CREATE TABLE table_2221374_3 (production_code VARCHAR, no_in_season VARCHAR)
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SELECT production_code FROM table_2221374_3 WHERE no_in_season = 3
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For those employees who was hired before 2002-06-21, draw a bar chart about the distribution of hire_date and the average of department_id bin hire_date by time, and order by the y-axis in desc.
|
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
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 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)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
|
SELECT HIRE_DATE, AVG(DEPARTMENT_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY AVG(DEPARTMENT_ID) DESC
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Who was the opponent when the Phillies played on April 28?
|
CREATE TABLE table_36114 (
"Date" text,
"Opponent" text,
"Score" text,
"Loss" text,
"Save" text,
"Attendance" real,
"Record" text
)
|
SELECT "Opponent" FROM table_36114 WHERE "Date" = 'april 28'
|
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Provide the number of patients on additive type drug prescription who have other pulmonary insufficiency not elsewhere classified diagnoses.
|
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.long_title = "Other pulmonary insufficiency, not elsewhere classified" AND prescriptions.drug_type = "ADDITIVE"
|
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What is in 2003 that has a Career Win-Loss of 6–7
|
CREATE TABLE table_name_84 (career_win_loss VARCHAR)
|
SELECT 2003 FROM table_name_84 WHERE career_win_loss = "6–7"
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[
3,
23143,
14196,
3888,
21680,
953,
834,
4350,
834,
4608,
549,
17444,
427,
1415,
834,
3757,
834,
2298,
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3274,
96,
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104,
940,
121,
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-100,
-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
Which locomotive class had 5 items made?
|
CREATE TABLE table_name_26 (
class VARCHAR,
quantity_made VARCHAR
)
|
SELECT class FROM table_name_26 WHERE quantity_made = 5
|
[
32100,
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32102,
205,
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953,
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3,
23143,
14196,
853,
21680,
953,
834,
4350,
834,
2688,
549,
17444,
427,
8708,
834,
4725,
3274,
305,
1,
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-100,
-100,
-100
] |
Draw a bar chart of sex versus mean height, and rank mean height in ascending order.
|
CREATE TABLE people (
People_ID int,
Sex text,
Name text,
Date_of_Birth text,
Height real,
Weight real
)
CREATE TABLE candidate (
Candidate_ID int,
People_ID int,
Poll_Source text,
Date text,
Support_rate real,
Consider_rate real,
Oppose_rate real,
Unsure_rate real
)
|
SELECT Sex, AVG(Height) FROM people GROUP BY Sex ORDER BY AVG(Height)
|
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32100,
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For those employees who do not work in departments with managers that have ids between 100 and 200, draw a bar chart about the distribution of job_id and manager_id .
|
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 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)
)
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)
)
|
SELECT JOB_ID, MANAGER_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200)
|
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What type of engine does the model with model designation 97100 have?
|
CREATE TABLE table_23975 (
"Model Type" text,
"Model Designation" text,
"Engine" text,
"Wheelbase (mm/inch)" text,
"GVW (kg/ton)" text,
"Axle Ratio" text
)
|
SELECT "Engine" FROM table_23975 WHERE "Model Designation" = '97100'
|
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If the spacecraft is the Shenzhou 7 Eva 1, what is the start (utc) date and time?
|
CREATE TABLE table_22385461_9 (start___utc__ VARCHAR, spacecraft VARCHAR)
|
SELECT start___utc__ FROM table_22385461_9 WHERE spacecraft = "Shenzhou 7 EVA 1"
|
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What is the city and region of the team in the dalhús arena?
|
CREATE TABLE table_name_35 (city VARCHAR, _region VARCHAR, arena VARCHAR)
|
SELECT city, _region FROM table_name_35 WHERE arena = "dalhús"
|
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what are the genders of patient 009-338?
|
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 treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
|
SELECT DISTINCT patient.gender FROM patient WHERE patient.uniquepid = '009-338'
|
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What is the nickname of Linfield College?
|
CREATE TABLE table_261941_1 (
nickname VARCHAR,
institution VARCHAR
)
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SELECT nickname FROM table_261941_1 WHERE institution = "Linfield College"
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Name the number of wins for when points is 17
|
CREATE TABLE table_14889048_1 (wins VARCHAR, points VARCHAR)
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SELECT COUNT(wins) FROM table_14889048_1 WHERE points = 17
|
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Who was the election winner with a BJP incumbent in Chhattisgarh?
|
CREATE TABLE table_name_77 (election_winner VARCHAR, incumbent VARCHAR, state VARCHAR)
|
SELECT election_winner FROM table_name_77 WHERE incumbent = "bjp" AND state = "chhattisgarh"
|
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In what Week was the Attendance 43,430?
|
CREATE TABLE table_48584 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"Attendance" real
)
|
SELECT MAX("Week") FROM table_48584 WHERE "Attendance" = '43,430'
|
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Namem the number of cities that contains Voivodeship of elbl g voivodeship
|
CREATE TABLE table_53743 (
"Abbreviation" text,
"Voivodeship" text,
"Capital" text,
"Area km\u00b2 (1998)" text,
"Population (1980)" text,
"No. of cities" real,
"No. of communes" real
)
|
SELECT "No. of cities" FROM table_53743 WHERE "Voivodeship" = 'elbląg voivodeship'
|
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what is the 2010 population density for municipio ponce?
|
CREATE TABLE table_name_83 (municipio VARCHAR)
|
SELECT 2010 AS _population_density FROM table_name_83 WHERE municipio = "ponce"
|
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Who's the Winning driver with a Pole position of bryan herta?
|
CREATE TABLE table_49886 (
"Race Name" text,
"Circuit" text,
"City/Location" text,
"Date" text,
"Pole position" text,
"Fastest lap" text,
"Winning driver" text,
"Winning team" text,
"Report" text
)
|
SELECT "Winning driver" FROM table_49886 WHERE "Pole position" = 'bryan herta'
|
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Name the avg start for avg finish of 18.3
|
CREATE TABLE table_24660 (
"Year" real,
"Starts" real,
"Wins" real,
"Top 5" real,
"Top 10" real,
"Poles" real,
"Avg. Start" text,
"Avg. Finish" text,
"Winnings" text,
"Position" text,
"Team(s)" text
)
|
SELECT "Avg. Start" FROM table_24660 WHERE "Avg. Finish" = '18.3'
|
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What day did episode number 4 air originally?
|
CREATE TABLE table_24648983_1 (original_air_date VARCHAR, № VARCHAR)
|
SELECT original_air_date FROM table_24648983_1 WHERE № = 4
|
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How many snatches were there with a total of 267.5?
|
CREATE TABLE table_78258 (
"Athlete" text,
"Event" text,
"Snatch" real,
"Clean & Jerk" real,
"Total" real
)
|
SELECT COUNT("Snatch") FROM table_78258 WHERE "Total" < '267.5'
|
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Which Winner has a Country of norway, and a FIS Nordic World Ski Championships of 1924?
|
CREATE TABLE table_45907 (
"Winner" text,
"Country" text,
"Winter Olympics" text,
"FIS Nordic World Ski Championships" text,
"Holmenkollen" text
)
|
SELECT "Winner" FROM table_45907 WHERE "Country" = 'norway' AND "FIS Nordic World Ski Championships" = '1924'
|
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
Louisville International Airport had how many tonnes of cargo in 2011?
|
CREATE TABLE table_18047346_5 (
tonnes VARCHAR,
airport_name VARCHAR
)
|
SELECT tonnes FROM table_18047346_5 WHERE airport_name = "Louisville International Airport"
|
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What is the latest year that has more than 5 points and a renault ef15 1.5 v6 t engine?
|
CREATE TABLE table_name_20 (
year INTEGER,
engine VARCHAR,
points VARCHAR
)
|
SELECT MAX(year) FROM table_name_20 WHERE engine = "renault ef15 1.5 v6 t" AND points > 5
|
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what's the pole position with location being hockenheimring
|
CREATE TABLE table_1140074_2 (pole_position VARCHAR, location VARCHAR)
|
SELECT pole_position FROM table_1140074_2 WHERE location = "Hockenheimring"
|
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How many golds have 3 as the rank, with a total greater than 7?
|
CREATE TABLE table_79710 (
"Rank" text,
"Nation" text,
"Gold" real,
"Silver" real,
"Bronze" real,
"Total" real
)
|
SELECT COUNT("Gold") FROM table_79710 WHERE "Rank" = '3' AND "Total" > '7'
|
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Name the 2008 for 2012 f
|
CREATE TABLE table_70332 (
"Tournament" text,
"2008" text,
"2010" text,
"2011" text,
"2012" text,
"2013" text
)
|
SELECT "2008" FROM table_70332 WHERE "2012" = 'f'
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Which City of license has a Call sign of w220ba?
|
CREATE TABLE table_name_64 (city_of_license VARCHAR, call_sign VARCHAR)
|
SELECT city_of_license FROM table_name_64 WHERE call_sign = "w220ba"
|
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What is the rank of Manuel Cortina Martínez?
|
CREATE TABLE table_name_46 (rank VARCHAR, athletes VARCHAR)
|
SELECT rank FROM table_name_46 WHERE athletes = "manuel cortina martínez"
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For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, show me about the distribution of hire_date and the sum of employee_id bin hire_date by weekday in a bar chart, list y-axis in ascending order please.
|
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 regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
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 employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
|
SELECT HIRE_DATE, SUM(EMPLOYEE_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 ORDER BY SUM(EMPLOYEE_ID)
|
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Name the outgoing manager for position in table being 11th
|
CREATE TABLE table_17039232_3 (
outgoing_manager VARCHAR,
position_in_table VARCHAR
)
|
SELECT outgoing_manager FROM table_17039232_3 WHERE position_in_table = "11th"
|
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how many parks were established after the year 2000 ?
|
CREATE TABLE table_204_143 (
id number,
"national park" text,
"region" text,
"land area (km2)" number,
"established" number,
"visitation (2009)" number,
"coordinates" text
)
|
SELECT COUNT("national park") FROM table_204_143 WHERE "established" > 2000
|
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What is the rank 6 lowest win who's first win was at the 1950 British Grand Prix?
|
CREATE TABLE table_name_46 (wins INTEGER, rank VARCHAR, first_win VARCHAR)
|
SELECT MIN(wins) FROM table_name_46 WHERE rank > 6 AND first_win = "1950 british grand prix"
|
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Find the city with the most number of stores.
|
CREATE TABLE district (headquartered_city VARCHAR, district_id VARCHAR); CREATE TABLE store_district (store_id VARCHAR, district_id VARCHAR); CREATE TABLE store (store_id VARCHAR)
|
SELECT t3.headquartered_city FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id GROUP BY t3.headquartered_city ORDER BY COUNT(*) DESC LIMIT 1
|
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What is the largest third place finish when first place winning year(s) (if applicable) was n/a?
|
CREATE TABLE table_24392 (
"City & Nation" text,
"First Place" real,
"Second Place" real,
"Third Place" real,
"Total Top 3 Placements" real,
"First Place Winning Year(s) (if applicable)" text
)
|
SELECT MAX("Third Place") FROM table_24392 WHERE "First Place Winning Year(s) (if applicable)" = 'N/A'
|
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What is the name of the building housing more than 101 floors, that was built after 2006?
|
CREATE TABLE table_name_55 (
name VARCHAR,
year VARCHAR,
floors VARCHAR
)
|
SELECT name FROM table_name_55 WHERE year > 2006 AND floors > 101
|
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What was the score for the home team of essendon?
|
CREATE TABLE table_name_45 (home_team VARCHAR)
|
SELECT home_team AS score FROM table_name_45 WHERE home_team = "essendon"
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] |
For all employees who have the letters D or S in their first name, find job_id and the average of employee_id , and group by attribute job_id, and visualize them by a bar chart, could you rank in descending by the bar?
|
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 departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
|
SELECT JOB_ID, AVG(EMPLOYEE_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY JOB_ID DESC
|
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What was the result on 10/08/1988?
|
CREATE TABLE table_name_52 (result VARCHAR, date VARCHAR)
|
SELECT result FROM table_name_52 WHERE date = "10/08/1988"
|
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The K-1 MMA Romanex event went how many rounds?
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CREATE TABLE table_name_38 (round VARCHAR, event VARCHAR)
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SELECT COUNT(round) FROM table_name_38 WHERE event = "k-1 mma romanex"
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How many draft copies does the document with id 2 have?
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CREATE TABLE Draft_Copies (
document_id VARCHAR
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SELECT COUNT(*) FROM Draft_Copies WHERE document_id = 2
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how many drivers drove a ferrari in the race ?
|
CREATE TABLE table_204_473 (
id number,
"pos" text,
"no" number,
"driver" text,
"constructor" text,
"laps" number,
"time/retired" text,
"grid" number,
"points" number
)
|
SELECT COUNT("driver") FROM table_204_473 WHERE "constructor" = 'ferrari'
|
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what are the number of times she came in 2nd position for the european championships ?
|
CREATE TABLE table_203_651 (
id number,
"year" number,
"competition" text,
"venue" text,
"position" text,
"notes" text
)
|
SELECT COUNT(*) FROM table_203_651 WHERE "position" = 2 AND "competition" = 'european championships'
|
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What is the average against for a test match?
|
CREATE TABLE table_name_64 (against INTEGER, status VARCHAR)
|
SELECT AVG(against) FROM table_name_64 WHERE status = "test match"
|
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what is the name of the episode when the production code is 11.01?
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CREATE TABLE table_2226817_12 (title VARCHAR, production_code VARCHAR)
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SELECT title FROM table_2226817_12 WHERE production_code = "11.01"
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What are the winnings for the season where the average finish is 11.1?
|
CREATE TABLE table_1637041_6 (
winnings VARCHAR,
avg_finish VARCHAR
)
|
SELECT winnings FROM table_1637041_6 WHERE avg_finish = "11.1"
|
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How many roles include George Broderick in the casino 1888 theater?
|
CREATE TABLE table_148386_2 (
role VARCHAR,
casino_theatre_1888 VARCHAR
)
|
SELECT role FROM table_148386_2 WHERE casino_theatre_1888 = "George Broderick"
|
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Which away team has a Home team score of 17.13 (115)?
|
CREATE TABLE table_51918 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
)
|
SELECT "Away team" FROM table_51918 WHERE "Home team score" = '17.13 (115)'
|
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Date of sun. oct. 29 has what time (et)?
|
CREATE TABLE table_name_65 (time___et__ VARCHAR, date VARCHAR)
|
SELECT time___et__ FROM table_name_65 WHERE date = "sun. oct. 29"
|
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Which is the largest area in Greenville County, by square mile?
|
CREATE TABLE table_56569 (
"County" text,
"Year Founded" text,
"County Seat" text,
"2010 Census Population" real,
"July 1, 2012 Population Estimate." real,
"Area (Sq. Mi.)" real,
"Land Area (Sq. Mi.)" real
)
|
SELECT MAX("Area (Sq. Mi.)") FROM table_56569 WHERE "County" = 'greenville county'
|
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] |
What series number is the episode with production code bdf101?
|
CREATE TABLE table_28019988_2 (series__number INTEGER, production_code VARCHAR)
|
SELECT MAX(series__number) FROM table_28019988_2 WHERE production_code = "BDF101"
|
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Who drive 74 laps in a grid larger than 9?
|
CREATE TABLE table_name_25 (driver VARCHAR, laps VARCHAR, grid VARCHAR)
|
SELECT driver FROM table_name_25 WHERE laps = 74 AND grid > 9
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What Valley Vista has a Dysart of 1668?
|
CREATE TABLE table_name_39 (
valley_vista VARCHAR,
dysart VARCHAR
)
|
SELECT valley_vista FROM table_name_39 WHERE dysart = "1668"
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What is the name of the queen regnant?
|
CREATE TABLE table_name_48 (
name VARCHAR,
title VARCHAR
)
|
SELECT name FROM table_name_48 WHERE title = "queen regnant"
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What record has February 25 as the date?
|
CREATE TABLE table_name_7 (record VARCHAR, date VARCHAR)
|
SELECT record FROM table_name_7 WHERE date = "february 25"
|
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what is the date of birth and admission time of subject name jerry deberry?
|
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 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 demographic.dob, demographic.admittime FROM demographic WHERE demographic.name = "Jerry Deberry"
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Who visited on march 26?
|
CREATE TABLE table_44238 (
"Date" text,
"Visitor" text,
"Score" text,
"Home" text,
"Attendance" real,
"Record" text,
"Points" real
)
|
SELECT "Visitor" FROM table_44238 WHERE "Date" = 'march 26'
|
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what is the capital where it is ramtha
|
CREATE TABLE table_26173058_2 (qadisiya VARCHAR, × VARCHAR)
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SELECT qadisiya FROM table_26173058_2 WHERE × = "ramtha"
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Name the college for nate binder
|
CREATE TABLE table_25017530_5 (college VARCHAR, player VARCHAR)
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SELECT college FROM table_25017530_5 WHERE player = "Nate Binder"
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How many players named victor h nescu played?
|
CREATE TABLE table_24431264_16 (
points VARCHAR,
player VARCHAR
)
|
SELECT COUNT(points) AS won FROM table_24431264_16 WHERE player = "Victor Hănescu"
|
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What is Michael and Melanie's rank?
|
CREATE TABLE table_2129 (
"Rank" real,
"Couple" text,
"Judges" real,
"Public" real,
"Total" real,
"Vote percentage" text,
"Result" text
)
|
SELECT "Rank" FROM table_2129 WHERE "Couple" = 'Michael and Melanie'
|
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Return the founder of Sony.
|
CREATE TABLE manufacturers (
code number,
name text,
headquarter text,
founder text,
revenue number
)
CREATE TABLE products (
code number,
name text,
price number,
manufacturer number
)
|
SELECT founder FROM manufacturers WHERE name = 'Sony'
|
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] |
Which roll has an Area of mahia?
|
CREATE TABLE table_70266 (
"Name" text,
"Years" text,
"Gender" text,
"Area" text,
"Authority" text,
"Decile" real,
"Roll" real
)
|
SELECT "Roll" FROM table_70266 WHERE "Area" = 'mahia'
|
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What was the attendance of the game that ended with L 31-0
|
CREATE TABLE table_45831 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"Attendance" text
)
|
SELECT "Attendance" FROM table_45831 WHERE "Result" = 'l 31-0'
|
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What is High Assists, when High Points is "Tayshaun Prince (23)"?
|
CREATE TABLE table_name_64 (high_assists VARCHAR, high_points VARCHAR)
|
SELECT high_assists FROM table_name_64 WHERE high_points = "tayshaun prince (23)"
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What celebrity is famous for being an actor?
|
CREATE TABLE table_name_84 (celebrity VARCHAR, famous_for VARCHAR)
|
SELECT celebrity FROM table_name_84 WHERE famous_for = "actor"
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What day did the VFL pay MCG?
|
CREATE TABLE table_name_90 (date VARCHAR, venue VARCHAR)
|
SELECT date FROM table_name_90 WHERE venue = "mcg"
|
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question was what was the average lithium value of patient 032-9230 in the current hospital visit?
|
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
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 treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
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
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|
SELECT AVG(lab.labresult) FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '032-9230' AND patient.hospitaldischargetime IS NULL)) AND lab.labname = 'lithium'
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What is the rank of the games that had 9 gold and 9 silvers?
|
CREATE TABLE table_name_47 (
rank VARCHAR,
gold VARCHAR,
silver VARCHAR
)
|
SELECT rank FROM table_name_47 WHERE gold = "9" AND silver = "9"
|
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What class had a score of 95.1?
|
CREATE TABLE table_name_33 (
class VARCHAR,
score VARCHAR
)
|
SELECT class FROM table_name_33 WHERE score = 95.1
|
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how many laps did ronnie bucknum complete ?
|
CREATE TABLE table_203_366 (
id number,
"pos" number,
"class" text,
"no" number,
"team" text,
"drivers" text,
"chassis" text,
"engine" text,
"laps" number
)
|
SELECT "laps" FROM table_203_366 WHERE "drivers" = 'ronnie bucknum'
|
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what is drug type of drug name verapamil?
|
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 demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT prescriptions.drug_type FROM prescriptions WHERE prescriptions.drug = "Verapamil"
|
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How much did the away team St Kilda score?
|
CREATE TABLE table_name_51 (away_team VARCHAR)
|
SELECT away_team AS score FROM table_name_51 WHERE away_team = "st kilda"
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Name the name or route for slope length being 336
|
CREATE TABLE table_17814458_1 (
name_or_route VARCHAR,
slope_length VARCHAR
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SELECT name_or_route FROM table_17814458_1 WHERE slope_length = 336
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What is the lowest played that has points greater than 11, 1 as the position, and a loss less than 1?
|
CREATE TABLE table_42543 (
"Position" real,
"Team" text,
"Points" real,
"Played" real,
"Drawn" real,
"Lost" real,
"Against" real,
"Difference" text
)
|
SELECT MIN("Played") FROM table_42543 WHERE "Points" > '11' AND "Position" = '1' AND "Lost" < '1'
|
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What is the entered number for the person with a time of 29:28?
|
CREATE TABLE table_40330 (
"Eliminated" text,
"Wrestler" text,
"Entered" real,
"Eliminated by" text,
"Time" text
)
|
SELECT "Entered" FROM table_40330 WHERE "Time" = '29:28'
|
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What is the total number of each ship type? Give me a pie chart.
|
CREATE TABLE ship (
Ship_ID int,
Name text,
Type text,
Nationality text,
Tonnage int
)
CREATE TABLE mission (
Mission_ID int,
Ship_ID int,
Code text,
Launched_Year int,
Location text,
Speed_knots int,
Fate text
)
|
SELECT Type, COUNT(Type) FROM ship GROUP BY Type
|
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6632,
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] |
Which Pos has a Team of germian racing?
|
CREATE TABLE table_name_68 (
pos VARCHAR,
team VARCHAR
)
|
SELECT pos FROM table_name_68 WHERE team = "germian racing"
|
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] |
What is the rev of the 2003-2004 Mustang Cobra?
|
CREATE TABLE table_1310499_1 (rev VARCHAR, application VARCHAR)
|
SELECT rev FROM table_1310499_1 WHERE application = "2003-2004 Mustang Cobra"
|
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What is the low silver total for switzerland with over 0 golds?
|
CREATE TABLE table_name_30 (
silver INTEGER,
gold VARCHAR,
nation VARCHAR
)
|
SELECT MIN(silver) FROM table_name_30 WHERE gold > 0 AND nation = "switzerland"
|
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How many field goals did the player who had 8 blocks have?
|
CREATE TABLE table_24850487_5 (field_goals INTEGER, blocks VARCHAR)
|
SELECT MIN(field_goals) FROM table_24850487_5 WHERE blocks = 8
|
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Catalog Nebdj068 was released when?
|
CREATE TABLE table_name_26 (date VARCHAR, catalog VARCHAR)
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SELECT date FROM table_name_26 WHERE catalog = "nebdj068"
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Which player's hometown was Pewaukee, Wisconsin?
|
CREATE TABLE table_309 (
"Player" text,
"Position" text,
"School" text,
"Hometown" text,
"College" text
)
|
SELECT "Player" FROM table_309 WHERE "Hometown" = 'Pewaukee, Wisconsin'
|
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What is home team Chelsea's Tie no?
|
CREATE TABLE table_name_83 (tie_no VARCHAR, home_team VARCHAR)
|
SELECT tie_no FROM table_name_83 WHERE home_team = "chelsea"
|
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Which player competed in 12 events?
|
CREATE TABLE table_name_49 (
player VARCHAR,
events VARCHAR
)
|
SELECT player FROM table_name_49 WHERE events = 12
|
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3,
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] |
You can return a bar chart to show the employees' first name and the corresponding manager's id, order by the FIRST_NAME in ascending.
|
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE 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 job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
|
SELECT FIRST_NAME, MANAGER_ID FROM employees ORDER BY FIRST_NAME
|
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What type of engine does the BF Racing Marron Excavations have that also has Monaco as chassis and Lee Filliponi as the driver?
|
CREATE TABLE table_name_94 (engine VARCHAR, driver VARCHAR, team VARCHAR, chassis VARCHAR)
|
SELECT engine FROM table_name_94 WHERE team = "bf racing marron excavations" AND chassis = "monaco" AND driver = "lee filliponi"
|
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-100,
-100
] |
What in the minimum number of championships won by a nation?
|
CREATE TABLE table_19487922_2 (
championships INTEGER
)
|
SELECT MIN(championships) FROM table_19487922_2
|
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61,
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834,
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] |
Name the sum of drawn with lost more than 1 and games less than 5
|
CREATE TABLE table_37133 (
"Games" real,
"Drawn" real,
"Lost" real,
"Goal difference" text,
"Points" real
)
|
SELECT SUM("Drawn") FROM table_37133 WHERE "Lost" > '1' AND "Games" < '5'
|
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For those employees who do not work in departments with managers that have ids between 100 and 200, find hire_date and the average of salary bin hire_date by time, and visualize them by a bar chart, and order by the Y-axis in ascending.
|
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 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 jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
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 countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
|
SELECT HIRE_DATE, AVG(SALARY) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY AVG(SALARY)
|
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What is the year listed when tied is listed as 11?
|
CREATE TABLE table_28848697_4 (
year VARCHAR,
tied VARCHAR
)
|
SELECT year FROM table_28848697_4 WHERE tied = 11
|
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When vfl park is the venue what's the Away team playing?
|
CREATE TABLE table_name_81 (
away_team VARCHAR,
venue VARCHAR
)
|
SELECT away_team FROM table_name_81 WHERE venue = "vfl park"
|
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0
] |
[
3,
23143,
14196,
550,
834,
11650,
21680,
953,
834,
4350,
834,
4959,
549,
17444,
427,
5669,
3274,
96,
208,
89,
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121,
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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,
-100,
-100,
-100,
-100
] |
calculate the maximum age of unmarried patients who have unknown/not specified ethnic background.
|
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 demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT MAX(demographic.age) FROM demographic WHERE demographic.marital_status = "SINGLE" AND demographic.ethnicity = "UNKNOWN/NOT SPECIFIED"
|
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[
3,
23143,
14196,
4800,
4,
599,
1778,
16587,
5,
545,
61,
21680,
14798,
549,
17444,
427,
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5,
1635,
9538,
834,
8547,
302,
3274,
96,
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2365,
3765,
121,
3430,
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15,
189,
2532,
485,
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439,
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567,
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382,
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20452,
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-100,
-100
] |
What are the names of all pilots 30 years old or young in descending alphabetical order?
|
CREATE TABLE airport_aircraft (
id number,
airport_id number,
aircraft_id number
)
CREATE TABLE airport (
airport_id number,
airport_name text,
total_passengers number,
%_change_2007 text,
international_passengers number,
domestic_passengers number,
transit_passengers number,
aircraft_movements number,
freight_metric_tonnes number
)
CREATE TABLE pilot (
pilot_id number,
name text,
age number
)
CREATE TABLE aircraft (
aircraft_id number,
aircraft text,
description text,
max_gross_weight text,
total_disk_area text,
max_disk_loading text
)
CREATE TABLE match (
round number,
location text,
country text,
date text,
fastest_qualifying text,
winning_pilot text,
winning_aircraft text
)
|
SELECT name FROM pilot WHERE age <= 30 ORDER BY name DESC
|
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