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How many million U.S. viewers watched the epiode with a production code of 1arc12? | CREATE TABLE table_27979 (
"No. in series" real,
"Title" text,
"Directed by" text,
"Written by" text,
"Original air date" text,
"Production code" text,
"U.S. viewers (million)" text
) | SELECT "U.S. viewers (million)" FROM table_27979 WHERE "Production code" = '1ARC12' | [
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What was the date of the premiere that had a 20.9 rating? | CREATE TABLE table_name_38 (premiere VARCHAR, rating VARCHAR) | SELECT premiere FROM table_name_38 WHERE rating = "20.9" | [
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For those records from the products and each product's manufacturer, draw a bar chart about the distribution of name and the average of revenue , and group by attribute name, show x axis in descending order. | 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
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Name the name for desha | CREATE TABLE table_25794010_1 (name VARCHAR, county VARCHAR) | SELECT name FROM table_25794010_1 WHERE county = "Desha" | [
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"Name" text,
"Latitude" real,
"Longitude" real,
"Diameter (km)" real,
"Named after" text
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How many students are older than average for each gender, and I want to show from high to low by the total number please. | CREATE TABLE Dorm_amenity (
amenid INTEGER,
amenity_name VARCHAR(25)
)
CREATE TABLE Has_amenity (
dormid INTEGER,
amenid INTEGER
)
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 Dorm (
dormid INTEGER,
dorm_name VARCHAR(20),
student_capacity INTEGER,
gender VARCHAR(1)
)
CREATE TABLE Lives_in (
stuid INTEGER,
dormid INTEGER,
room_number INTEGER
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What is every year where opponent in the final is John Mcenroe at Wimbledon? | CREATE TABLE table_23235767_1 (
year VARCHAR,
opponent_in_the_final VARCHAR,
championship VARCHAR
) | SELECT year FROM table_23235767_1 WHERE opponent_in_the_final = "John McEnroe" AND championship = "Wimbledon" | [
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What was the least amount of camp mates? | CREATE TABLE table_19293 (
"Series" text,
"Presenters" text,
"Start date" text,
"End date" text,
"Days in camp" real,
"Camp mates" real,
"Winner" text,
"Highest viewers (millions)" text,
"Lowest viewers (millions)" text,
"Average viewers (millions)" text
) | SELECT MIN("Camp mates") FROM table_19293 | [
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Name the original air date for prod code 201 | CREATE TABLE table_2322716_2 (original_air_dates VARCHAR, prod_code VARCHAR) | SELECT original_air_dates FROM table_2322716_2 WHERE prod_code = 201 | [
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What was the report for an away team of Sydney Spirit and score of 96-87? | CREATE TABLE table_name_16 (
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away_team VARCHAR,
score VARCHAR
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"District" text,
"Incumbent" text,
"Cook" text,
"Rothenberg" text,
"CQ Politics" text,
"Crystal Ball" text
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"Player" text,
"Team" text,
"Matches" real,
"Wickets" real,
"Average" real,
"Best Bowling" text
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What is the total brup for the team? | CREATE TABLE table_18064020_21 (
brup VARCHAR,
name VARCHAR
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For those records from the products and each product's manufacturer, show me about the distribution of name and the average of manufacturer , and group by attribute name in a bar chart, show in desc by the Y-axis 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
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Record of 11-10-3 is what sum of game #? | CREATE TABLE table_name_57 (game__number INTEGER, record VARCHAR) | SELECT SUM(game__number) FROM table_name_57 WHERE record = "11-10-3" | [
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How many tackle assists for the player who averages 23.7? | CREATE TABLE table_72955 (
"Name" text,
"GP-GS" text,
"Solo" real,
"Ast" real,
"Total" real,
"TFL-Yds" text,
"No-Yds" text,
"BrUp" real,
"QBH" real,
"No.-Yds" text,
"Avg" text,
"TD" real,
"Long" real,
"Rcv-Yds" text,
"FF" real,
"Blkd Kick" real
) | SELECT "Ast" FROM table_72955 WHERE "Avg" = '23.7' | [
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For those employees who was hired before 2002-06-21, a bar chart shows the distribution of job_id and the average of employee_id , and group by attribute job_id, and rank by the X in asc. | 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)
)
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 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 regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
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which songs are produced by pillo jamel or juju . | CREATE TABLE table_203_353 (
id number,
"#" number,
"title" text,
"producer(s)" text,
"featured guest(s)" text,
"time" text
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at what time was the patient with patient id 6983 admitted in hospital? | 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 (
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hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
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CREATE TABLE 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 demographic.admittime FROM demographic WHERE demographic.subject_id = "6983" | [
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How many directors of episode 55? | CREATE TABLE table_28049 (
"Series no." real,
"No. in season" real,
"Title" text,
"Written by" text,
"Directed by" text,
"Original air date" text
) | SELECT COUNT("Directed by") FROM table_28049 WHERE "Series no." = '55' | [
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Who was the home team at the game held at the Junction Oval? | CREATE TABLE table_33247 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
) | SELECT "Home team" FROM table_33247 WHERE "Venue" = 'junction oval' | [
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series VARCHAR
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When is the earliest year in milan that guillermo vilas was champion? | CREATE TABLE table_71979 (
"Location" text,
"Year" real,
"Champion" text,
"Runner-up" text,
"Score" text
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What is the defective year for the eighth numbered month? | CREATE TABLE table_28985631_1 (defective_year VARCHAR, numbered_month VARCHAR) | SELECT defective_year FROM table_28985631_1 WHERE numbered_month = "Eighth" | [
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how many times was the high rebounds by Mcdyess (9) and the high assists was by Billups (10)? | CREATE TABLE table_17311 (
"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 points") FROM table_17311 WHERE "High rebounds" = 'McDyess (9)' AND "High assists" = 'Billups (10)' | [
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scorers VARCHAR,
date VARCHAR
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Find meter_600 and ID , and visualize them by a bar chart. | CREATE TABLE stadium (
ID int,
name text,
Capacity int,
City text,
Country text,
Opening_year int
)
CREATE TABLE event (
ID int,
Name text,
Stadium_ID int,
Year text
)
CREATE TABLE swimmer (
ID int,
name text,
Nationality text,
meter_100 real,
meter_200 text,
meter_300 text,
meter_400 text,
meter_500 text,
meter_600 text,
meter_700 text,
Time text
)
CREATE TABLE record (
ID int,
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Swimmer_ID int,
Event_ID int
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_percentage_60_74 VARCHAR
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what is subject name and age of subject id 2560? | 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
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CREATE TABLE procedures (
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hadm_id text,
icd9_code text,
short_title text,
long_title text
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CREATE TABLE demographic (
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hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
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ethnicity text,
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CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
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route text,
drug_dose text
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What are the directions for the guardian whose weapon is kha ga (sword)? | CREATE TABLE table_15902 (
"Name" text,
"Direction" text,
"Mantra" text,
"Weapon" text,
"Consort" text,
"Graha (Planet)" text,
"Guardian M\u0101t\u1e5bk\u0101" text
) | SELECT "Direction" FROM table_15902 WHERE "Weapon" = 'Khaḍga (sword)' | [
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What Kerry number does Taylor county have with more than 65 others#? | CREATE TABLE table_name_64 (
kerry_number VARCHAR,
county VARCHAR,
others_number VARCHAR
) | SELECT COUNT(kerry_number) FROM table_name_64 WHERE county = "taylor" AND others_number > 65 | [
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Which engine was used in 1987? | CREATE TABLE table_name_89 (
engine VARCHAR,
year VARCHAR
) | SELECT engine FROM table_name_89 WHERE year = 1987 | [
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What place had 14:11.15 as the performance? | CREATE TABLE table_66264 (
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count the number of patients whose primary disease is bowel obstruction? | 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
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CREATE TABLE diagnoses (
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hadm_id text,
icd9_code text,
short_title text,
long_title text
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CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
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long_title text
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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 job_id and department_id , and sort in descending by the y axis. | 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 jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
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 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 job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
) | SELECT JOB_ID, DEPARTMENT_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY DEPARTMENT_ID DESC | [
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What are the dates of birth of entrepreneurs with investor 'Simon Woodroffe' or 'Peter Jones'? | CREATE TABLE entrepreneur (
People_ID VARCHAR,
Investor VARCHAR
)
CREATE TABLE people (
Date_of_Birth VARCHAR,
People_ID VARCHAR
) | SELECT T2.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" | [
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What is the total number of Entered when the eliminated number is 3? | CREATE TABLE table_name_53 (entered VARCHAR, eliminated VARCHAR) | SELECT COUNT(entered) FROM table_name_53 WHERE eliminated = "3" | [
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set_2 VARCHAR
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venue VARCHAR,
away_team VARCHAR
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What Haydon had a 33 Ben-Tahir? | CREATE TABLE table_57573 (
"Ward" text,
"Bello" text,
"Ben-Tahir" text,
"Doucet" text,
"Furtenbacher" text,
"Gauthier" text,
"Haydon" text,
"Larter" text,
"Lawrance" text,
"Libweshya" text,
"Liscumb" text
) | SELECT "Haydon" FROM table_57573 WHERE "Ben-Tahir" = '33' | [
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How many breadth entries are there when the vessel is marianarray? | CREATE TABLE table_28132970_5 (breadth VARCHAR, vessel VARCHAR) | SELECT COUNT(breadth) FROM table_28132970_5 WHERE vessel = "Marianarray" | [
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provide the number of patients whose death status is 1 and diagnoses short title is proteus infection nos? | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE 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
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.expire_flag = "1" AND diagnoses.short_title = "Proteus infection NOS" | [
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What is the highest Total, when Season is '1996-97', and when Second is less than 33? | CREATE TABLE table_name_23 (
total INTEGER,
season VARCHAR,
second VARCHAR
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What position did the player play who weighed less thna 91 kg and was born on March 5, 1977? | CREATE TABLE table_name_6 (
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birthdate VARCHAR
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top_5 VARCHAR
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Which competition took place at Stade Fernand Fournier, Arles? | CREATE TABLE table_name_51 (competition VARCHAR, venue VARCHAR) | SELECT competition FROM table_name_51 WHERE venue = "stade fernand fournier, arles" | [
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