NATURAL_LANG
stringlengths 0
446
| SCHEMA
stringlengths 27
2.21k
| SQL
stringlengths 18
453
| input_ids
list | attention_mask
list | labels
list |
|---|---|---|---|---|---|
provide the number of patients whose insurance is private and procedure long title is intravenous infusion of clofarabine?
|
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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Private" AND procedures.long_title = "Intravenous infusion of clofarabine"
|
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How many pommel Horses have Rings of 37.461, and a Total smaller than 229.507?
|
CREATE TABLE table_55941 (
"Rank" real,
"Team" text,
"Floor Exercise" real,
"Pommel Horse" real,
"Rings" real,
"Vault" real,
"Parallel Bars" real,
"Horizontal Bar" real,
"Total" real
)
|
SELECT COUNT("Pommel Horse") FROM table_55941 WHERE "Rings" = '37.461' AND "Total" < '229.507'
|
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give me the number of patients whose age is less than 55 and lab test abnormal status is abnormal?
|
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
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "55" AND lab.flag = "abnormal"
|
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What is the StuffitX value that has a Stuffit of unknown, LHA/LZH of yes, and unknown ISO/CD image?
|
CREATE TABLE table_name_26 (stuffit VARCHAR, iso_cd_image VARCHAR, lha_lzh VARCHAR)
|
SELECT stuffit AS X FROM table_name_26 WHERE stuffit = "unknown" AND lha_lzh = "yes" AND iso_cd_image = "unknown"
|
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What game was developed by Naughty Dog?
|
CREATE TABLE table_63241 (
"Year" real,
"Game" text,
"Genre" text,
"Platform(s)" text,
"Developer(s)" text
)
|
SELECT "Genre" FROM table_63241 WHERE "Developer(s)" = 'naughty dog'
|
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What was the name of the Visiting team at Jack Murphy Stadium?
|
CREATE TABLE table_name_90 (visiting_team VARCHAR, stadium VARCHAR)
|
SELECT visiting_team FROM table_name_90 WHERE stadium = "jack murphy stadium"
|
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How many countries earned 177.2 points?
|
CREATE TABLE table_1059743_2 (
member_association VARCHAR,
points VARCHAR
)
|
SELECT COUNT(member_association) FROM table_1059743_2 WHERE points = "177.2"
|
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What's the constituency number for Damoh with more than 173,217 electorates?
|
CREATE TABLE table_62887 (
"Constituency number" text,
"Name" text,
"Reserved for ( SC / ST /None)" text,
"District" text,
"Number of electorates (2009)" real
)
|
SELECT "Constituency number" FROM table_62887 WHERE "Number of electorates (2009)" > '173,217' AND "Name" = 'damoh'
|
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Who directed what was written by Michael G. Moye & Ron Leavitt & J. Stanford Parker?
|
CREATE TABLE table_2226817_3 (
directed_by VARCHAR,
written_by VARCHAR
)
|
SELECT directed_by FROM table_2226817_3 WHERE written_by = "Michael G. Moye & Ron Leavitt & J. Stanford Parker"
|
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] |
How many companies that are not headquartered in the United States for each main industry? Show me a pie chart.
|
CREATE TABLE company (
Company_ID int,
Rank int,
Company text,
Headquarters text,
Main_Industry text,
Sales_billion real,
Profits_billion real,
Assets_billion real,
Market_Value real
)
CREATE TABLE station_company (
Station_ID int,
Company_ID int,
Rank_of_the_Year int
)
CREATE TABLE gas_station (
Station_ID int,
Open_Year int,
Location text,
Manager_Name text,
Vice_Manager_Name text,
Representative_Name text
)
|
SELECT Main_Industry, COUNT(Main_Industry) FROM company WHERE Headquarters <> 'USA' GROUP BY Main_Industry
|
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What is the smallest crowd at princes park?
|
CREATE TABLE table_33567 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
)
|
SELECT MIN("Crowd") FROM table_33567 WHERE "Venue" = 'princes park'
|
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Name the school that is private
|
CREATE TABLE table_25579 (
"Institution" text,
"Nickname" text,
"Location" text,
"Founded" real,
"Type" text,
"Enrollment" real,
"Joined" real,
"Left" real
)
|
SELECT "Institution" FROM table_25579 WHERE "Type" = 'Private'
|
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Who was the home team on November 22?
|
CREATE TABLE table_name_47 (
home VARCHAR,
date VARCHAR
)
|
SELECT home FROM table_name_47 WHERE date = "november 22"
|
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what is the number of patients with acute vascular insufficiency of intestine who are less than 50 years of age?
|
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
)
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 WHERE demographic.age < "50" AND diagnoses.long_title = "Acute vascular insufficiency of intestine"
|
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What college has an overall less than 243, and tony green as the name?
|
CREATE TABLE table_name_70 (college VARCHAR, overall VARCHAR, name VARCHAR)
|
SELECT college FROM table_name_70 WHERE overall < 243 AND name = "tony green"
|
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What was the score when the home team had a crowd larger than 21,188?
|
CREATE TABLE table_name_32 (
home_team VARCHAR,
crowd INTEGER
)
|
SELECT home_team AS score FROM table_name_32 WHERE crowd > 21 OFFSET 188
|
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Which district elected incumbent Earle Cabell?
|
CREATE TABLE table_1341718_44 (district VARCHAR, incumbent VARCHAR)
|
SELECT district FROM table_1341718_44 WHERE incumbent = "Earle Cabell"
|
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Who had the highest points when the series was 4-2?
|
CREATE TABLE table_name_22 (high_points VARCHAR, series VARCHAR)
|
SELECT high_points FROM table_name_22 WHERE series = "4-2"
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What country won in 1993?
|
CREATE TABLE table_43215 (
"Player" text,
"Country" text,
"Year(s) won" text,
"Total" real,
"To par" text,
"Finish" text
)
|
SELECT "Country" FROM table_43215 WHERE "Year(s) won" = '1993'
|
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Name the date successor seated is south carolina 3rd
|
CREATE TABLE table_73393 (
"District" text,
"Vacator" text,
"Reason for change" text,
"Successor" text,
"Date successor seated" text
)
|
SELECT "Date successor seated" FROM table_73393 WHERE "District" = 'South Carolina 3rd'
|
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Which LNER 1946 number is from 1892 and has an LNER number of 7347–7356?
|
CREATE TABLE table_name_20 (lner_1946_no VARCHAR, year VARCHAR, lner_no VARCHAR)
|
SELECT lner_1946_no FROM table_name_20 WHERE year = "1892" AND lner_no = "7347–7356"
|
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What is the average number of goals against with more than 12 wins, 12 losses, and a position greater than 3?
|
CREATE TABLE table_name_98 (goals_against INTEGER, position VARCHAR, wins VARCHAR, losses VARCHAR)
|
SELECT AVG(goals_against) FROM table_name_98 WHERE wins > 12 AND losses = 12 AND position > 3
|
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Who has a walking data of 3:10:48+?
|
CREATE TABLE table_54647 (
"Event" text,
"Data" text,
"Athlete" text,
"Date" text,
"Place" text
)
|
SELECT "Athlete" FROM table_54647 WHERE "Data" = '3:10:48+'
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How many league goals did Dunne have in the season where he had 2 league apps?
|
CREATE TABLE table_2980024_1 (
league_goals VARCHAR,
league_apps VARCHAR
)
|
SELECT league_goals FROM table_2980024_1 WHERE league_apps = 2
|
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-100
] |
How many points did Goole Town accumulate?
|
CREATE TABLE table_72898 (
"Position" real,
"Team" text,
"Played" real,
"Won" real,
"Drawn" real,
"Lost" real,
"Goals For" real,
"Goals Against" real,
"Goal Average 1" text,
"Points 2" real
)
|
SELECT COUNT("Points 2") FROM table_72898 WHERE "Team" = 'Goole Town'
|
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Which is the highest bronze with gold less than 0?
|
CREATE TABLE table_name_17 (
bronze INTEGER,
gold INTEGER
)
|
SELECT MAX(bronze) FROM table_name_17 WHERE gold < 0
|
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Name the most of 2500-3000ft
|
CREATE TABLE table_1456056_1 (Id VARCHAR)
|
SELECT MAX(2500 AS _3000ft) FROM table_1456056_1
|
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What is the Date, when Game is 17?
|
CREATE TABLE table_46923 (
"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_46923 WHERE "Game" = '17'
|
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Which 2007 has a 2010 of A?
|
CREATE TABLE table_name_92 (
Id VARCHAR
)
|
SELECT 2007 FROM table_name_92 WHERE 2010 = "a"
|
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What was the pick number for the WR position?
|
CREATE TABLE table_name_59 (pick__number VARCHAR, position VARCHAR)
|
SELECT pick__number FROM table_name_59 WHERE position = "wr"
|
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Can you tell me the sum of Gain that has the Name of kass, rob, and the Avg/g smaller than 1.9?
|
CREATE TABLE table_48412 (
"Name" text,
"Gain" real,
"Loss" real,
"Long" real,
"Avg/g" real
)
|
SELECT SUM("Gain") FROM table_48412 WHERE "Name" = 'kass, rob' AND "Avg/g" < '1.9'
|
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What was the attendance when the VFL played Glenferrie Oval?
|
CREATE TABLE table_33609 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
)
|
SELECT SUM("Crowd") FROM table_33609 WHERE "Venue" = 'glenferrie oval'
|
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What 2009 has a 0 in 2008 & 2010?
|
CREATE TABLE table_name_3 (Id VARCHAR)
|
SELECT 2009 FROM table_name_3 WHERE 2010 = "0" AND 2008 = "0"
|
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What film festival had the Best Male Actor?
|
CREATE TABLE table_26282750_1 (
film_festival VARCHAR,
category VARCHAR
)
|
SELECT film_festival FROM table_26282750_1 WHERE category = "Best Male Actor"
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Where was the county of rockingham?
|
CREATE TABLE table_name_98 (location VARCHAR, county VARCHAR)
|
SELECT location FROM table_name_98 WHERE county = "rockingham"
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During which round was a Hawkeyes player selected for the defensive back position?
|
CREATE TABLE table_77983 (
"Player" text,
"Position" text,
"Round" real,
"Pick" real,
"NFL Club" text
)
|
SELECT "Round" FROM table_77983 WHERE "Position" = 'defensive back'
|
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Which Class has a Type of 1′c n2t?
|
CREATE TABLE table_name_85 (class VARCHAR, type VARCHAR)
|
SELECT class FROM table_name_85 WHERE type = "1′c n2t"
|
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What is the lowest wickets?
|
CREATE TABLE table_29383 (
"Player" text,
"Team" text,
"Matches" real,
"Overs" text,
"Wickets" real,
"Average" text,
"Economy" text,
"BBI" text,
"4wi" real,
"5wi" real
)
|
SELECT MIN("Wickets") FROM table_29383
|
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Which Date had an Outcome of runner-up, and a Surface of carpet?
|
CREATE TABLE table_name_85 (
date VARCHAR,
outcome VARCHAR,
surface VARCHAR
)
|
SELECT date FROM table_name_85 WHERE outcome = "runner-up" AND surface = "carpet"
|
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Give the number of patients whose insurance is private and have procedure long title intravenous infusion of clofarabine.
|
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 COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Private" AND procedures.long_title = "Intravenous infusion of clofarabine"
|
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What work was nominated at Rockferendum 2007 and got 1st place and got the award for best album?
|
CREATE TABLE table_name_55 (nominated_work VARCHAR, award VARCHAR, type VARCHAR, position VARCHAR)
|
SELECT nominated_work FROM table_name_55 WHERE type = "rockferendum 2007" AND position = "1st place" AND award = "best album"
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Loss of postponed (rain) rescheduled for may 10 had what record?
|
CREATE TABLE table_name_60 (record VARCHAR, loss VARCHAR)
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SELECT record FROM table_name_60 WHERE loss = "postponed (rain) rescheduled for may 10"
|
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What is the highest number of wins for years after 1999 with averages over 73.02?
|
CREATE TABLE table_40371 (
"Year" real,
"Wins" real,
"Earnings ($)" real,
"Money list rank" text,
"Average" real
)
|
SELECT MAX("Wins") FROM table_40371 WHERE "Average" > '73.02' AND "Year" > '1999'
|
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what's the county name for the republican river bridge listed on 1992-06-29?
|
CREATE TABLE table_name_36 (
county VARCHAR,
listed VARCHAR,
name VARCHAR
)
|
SELECT county FROM table_name_36 WHERE listed = "1992-06-29" AND name = "republican river bridge"
|
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Name the trinidad for yellow-bellied puffing snake
|
CREATE TABLE table_22380 (
"Species" text,
"Common name" text,
"Trinidad" text,
"Tobago" text,
"Bocas Is." text,
"Other" text
)
|
SELECT "Trinidad" FROM table_22380 WHERE "Common name" = 'Yellow-bellied puffing snake'
|
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what is minimum age of patients whose marital status is widowed and age is greater than or equal to 48?
|
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
|
SELECT MIN(demographic.age) FROM demographic WHERE demographic.marital_status = "WIDOWED" AND demographic.age >= "48"
|
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Find the number and time of the train that goes from Chennai to Guruvayur.
|
CREATE TABLE train (
id number,
train_number number,
name text,
origin text,
destination text,
time text,
interval text
)
CREATE TABLE route (
train_id number,
station_id number
)
CREATE TABLE weekly_weather (
station_id number,
day_of_week text,
high_temperature number,
low_temperature number,
precipitation number,
wind_speed_mph number
)
CREATE TABLE station (
id number,
network_name text,
services text,
local_authority text
)
|
SELECT train_number, time FROM train WHERE origin = 'Chennai' AND destination = 'Guruvayur'
|
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What is listed for the 4 credits that has 5 credits of 125?
|
CREATE TABLE table_35137 (
"Hand" text,
"1 credit" text,
"2 credits" text,
"3 credits" text,
"4 credits" text,
"5 credits" text
)
|
SELECT "4 credits" FROM table_35137 WHERE "5 credits" = '125'
|
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Who had the high points on December 17?
|
CREATE TABLE table_21517 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location Attendance" text,
"Record" text
)
|
SELECT "High points" FROM table_21517 WHERE "Date" = 'December 17'
|
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what is the series number where the date of first broadcast is 16 october 2008?
|
CREATE TABLE table_12995531_3 (series_number VARCHAR, date_of_first_broadcast VARCHAR)
|
SELECT series_number FROM table_12995531_3 WHERE date_of_first_broadcast = "16 October 2008"
|
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-100,
-100
] |
What was the profit before tax when the turnover was 431.06?
|
CREATE TABLE table_74298 (
"Period ended" text,
"Turnover (\u00a3m)" text,
"Profit before tax (\u00a3m)" text,
"Dividend per share (p)" text,
"Adjusted earnings per share diluted (p)" text
)
|
SELECT "Profit before tax (\u00a3m)" FROM table_74298 WHERE "Turnover (\u00a3m)" = '431.06'
|
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[
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] |
A line chart for returning the number of the dates of birth for entrepreneurs who have either the investor Simon Woodroffe or Peter Jones, sort X in ascending order.
|
CREATE TABLE entrepreneur (
Entrepreneur_ID int,
People_ID int,
Company text,
Money_Requested real,
Investor text
)
CREATE TABLE people (
People_ID int,
Name text,
Height real,
Weight real,
Date_of_Birth text
)
|
SELECT Date_of_Birth, COUNT(Date_of_Birth) FROM entrepreneur AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID WHERE T1.Investor = "Simon Woodroffe" OR T1.Investor = "Peter Jones" ORDER BY Date_of_Birth
|
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What year did the ship Europa, have the dates of 14 23 October?
|
CREATE TABLE table_66008 (
"Ship" text,
"Year" real,
"Dates" text,
"Line" text,
"From" text,
"Distance" text,
"Days, hours, minutes" text,
"Speed" text
)
|
SELECT AVG("Year") FROM table_66008 WHERE "Ship" = 'europa' AND "Dates" = '14 – 23 october'
|
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Which Year has a Location of dinas on 13 january?
|
CREATE TABLE table_name_86 (
year VARCHAR,
location VARCHAR,
date VARCHAR
)
|
SELECT year FROM table_name_86 WHERE location = "dinas" AND date = "13 january"
|
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Who were the candidates in district Pennsylvania 3?
|
CREATE TABLE table_1341423_38 (
candidates VARCHAR,
district VARCHAR
)
|
SELECT candidates FROM table_1341423_38 WHERE district = "Pennsylvania 3"
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] |
Which Record has a December smaller than 28, and Points smaller than 38, and a Game smaller than 26, and a Score of 0 1 ot?
|
CREATE TABLE table_name_53 (
record VARCHAR,
score VARCHAR,
game VARCHAR,
december VARCHAR,
points VARCHAR
)
|
SELECT record FROM table_name_53 WHERE december < 28 AND points < 38 AND game < 26 AND score = "0–1 ot"
|
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3,
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1368,
21680,
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4350,
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427,
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For each county, find the name of the county and the number of delegates from that county Show bar chart, and order from low to high by the names please.
|
CREATE TABLE election (
Election_ID int,
Counties_Represented text,
District int,
Delegate text,
Party int,
First_Elected real,
Committee text
)
CREATE TABLE county (
County_Id int,
County_name text,
Population real,
Zip_code text
)
CREATE TABLE party (
Party_ID int,
Year real,
Party text,
Governor text,
Lieutenant_Governor text,
Comptroller text,
Attorney_General text,
US_Senate text
)
|
SELECT County_name, COUNT(*) FROM county AS T1 JOIN election AS T2 ON T1.County_Id = T2.District GROUP BY T1.County_Id ORDER BY County_name
|
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what is the number of total gold medals awarded ?
|
CREATE TABLE table_203_548 (
id number,
"rank" number,
"nation" text,
"gold" number,
"silver" number,
"bronze" number,
"total" number
)
|
SELECT SUM("gold") FROM table_203_548
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Who is the republican Jon Huntsman that was administered June 19, 2008?
|
CREATE TABLE table_name_76 (republican VARCHAR, dates_administered VARCHAR)
|
SELECT republican AS :_jon_huntsman FROM table_name_76 WHERE dates_administered = "june 19, 2008"
|
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What team was the opponent with a record of 5 0?
|
CREATE TABLE table_8167 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"Record" text,
"Game site" text
)
|
SELECT "Opponent" FROM table_8167 WHERE "Record" = '5–0'
|
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What are the statuses of the districts whose successor is Wiltshire?
|
CREATE TABLE table_2801185_2 (
status VARCHAR,
successor VARCHAR
)
|
SELECT status FROM table_2801185_2 WHERE successor = "Wiltshire"
|
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how many total movies did m.s. viswanathan do the music for ?
|
CREATE TABLE table_203_204 (
id number,
"year" number,
"film" text,
"language" text,
"actors" text,
"music" text,
"banner" text,
"note" text
)
|
SELECT COUNT("film") FROM table_203_204 WHERE "music" = 'm. s. viswanathan'
|
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What is the name where the license number is PL 22?
|
CREATE TABLE table_name_7 (
name__year_commissioned_ VARCHAR,
licence_number VARCHAR
)
|
SELECT name__year_commissioned_ FROM table_name_7 WHERE licence_number = "pl 22"
|
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What was the number of draws when the Elche CF club played 38 and had a goal difference of -16?
|
CREATE TABLE table_name_86 (draws INTEGER, played VARCHAR, goal_difference VARCHAR, club VARCHAR)
|
SELECT MIN(draws) FROM table_name_86 WHERE goal_difference > -16 AND club = "elche cf" AND played > 38
|
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What is the fewest gold medals when the bronze medals is greater than 5?
|
CREATE TABLE table_name_49 (
gold INTEGER,
bronze INTEGER
)
|
SELECT MIN(gold) FROM table_name_49 WHERE bronze > 5
|
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Who directs before 1948 with linda darnell, titled blood and sand?
|
CREATE TABLE table_name_55 (
director VARCHAR,
title VARCHAR,
year VARCHAR,
leading_lady VARCHAR
)
|
SELECT director FROM table_name_55 WHERE year < 1948 AND leading_lady = "linda darnell" AND title = "blood and sand"
|
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What is the date that has a winning score of 67-70-68-67=272?
|
CREATE TABLE table_name_84 (date VARCHAR, winning_score VARCHAR)
|
SELECT date FROM table_name_84 WHERE winning_score = 67 - 70 - 68 - 67 = 272
|
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Show the card type codes and the number of transactions in a pie chart.
|
CREATE TABLE Customers_Cards (
card_id INTEGER,
customer_id INTEGER,
card_type_code VARCHAR(15),
card_number VARCHAR(80),
date_valid_from DATETIME,
date_valid_to DATETIME,
other_card_details VARCHAR(255)
)
CREATE TABLE Financial_Transactions (
transaction_id INTEGER,
previous_transaction_id INTEGER,
account_id INTEGER,
card_id INTEGER,
transaction_type VARCHAR(15),
transaction_date DATETIME,
transaction_amount DOUBLE,
transaction_comment VARCHAR(255),
other_transaction_details VARCHAR(255)
)
CREATE TABLE Customers (
customer_id INTEGER,
customer_first_name VARCHAR(20),
customer_last_name VARCHAR(20),
customer_address VARCHAR(255),
customer_phone VARCHAR(255),
customer_email VARCHAR(255),
other_customer_details VARCHAR(255)
)
CREATE TABLE Accounts (
account_id INTEGER,
customer_id INTEGER,
account_name VARCHAR(50),
other_account_details VARCHAR(255)
)
|
SELECT card_type_code, COUNT(*) FROM Financial_Transactions AS T1 JOIN Customers_Cards AS T2 ON T1.card_id = T2.card_id GROUP BY T2.card_type_code
|
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How many conflicts started in Afghanistan?
|
CREATE TABLE table_22892 (
"Start of conflict" real,
"End of conflict" text,
"Conflict" text,
"Continent" text,
"Location" text,
"Branches involved" text
)
|
SELECT COUNT("Start of conflict") FROM table_22892 WHERE "Location" = 'Afghanistan'
|
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What is the lowest number of series?
|
CREATE TABLE table_72727 (
"Series #" real,
"Season #" real,
"Title" text,
"Directed by:" text,
"Written by:" text,
"Original air date" text
)
|
SELECT MIN("Series #") FROM table_72727
|
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What year was the position 6/13?
|
CREATE TABLE table_name_75 (
year VARCHAR,
position VARCHAR
)
|
SELECT year FROM table_name_75 WHERE position = "6/13"
|
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What is the title of the episode directed by Linda Mendoza?
|
CREATE TABLE table_25548505_1 (title VARCHAR, directed_by VARCHAR)
|
SELECT title FROM table_25548505_1 WHERE directed_by = "Linda Mendoza"
|
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What is the sum of Total, when Silver is greater than 1, when Nation is Germany (GER), and when Gold is less than 1?
|
CREATE TABLE table_name_87 (
total INTEGER,
gold VARCHAR,
silver VARCHAR,
nation VARCHAR
)
|
SELECT SUM(total) FROM table_name_87 WHERE silver > 1 AND nation = "germany (ger)" AND gold < 1
|
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Which show as previously on The Family Channel?
|
CREATE TABLE table_169766_13 (
show VARCHAR,
previous_network VARCHAR
)
|
SELECT show FROM table_169766_13 WHERE previous_network = "The Family Channel"
|
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What's the percentage of the immigrants in 2007 in the country with 14.1% of the immigrants in 2006?
|
CREATE TABLE table_23619212_1 (_percentage_of_all_immigrants_2007 VARCHAR, _percentage_of_all_immigrants_2006 VARCHAR)
|
SELECT _percentage_of_all_immigrants_2007 FROM table_23619212_1 WHERE _percentage_of_all_immigrants_2006 = "14.1%"
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18 _ 75 years of age
|
CREATE TABLE table_train_229 (
"id" int,
"hemoglobin_a1c_hba1c" float,
"active_metabolic" bool,
"body_weight" float,
"hba1c" float,
"age" float,
"NOUSE" float
)
|
SELECT * FROM table_train_229 WHERE age >= 18 AND age <= 75
|
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Can you tell me the Third runner-up that has the Year of 1969?
|
CREATE TABLE table_name_80 (third_runner_up VARCHAR, year VARCHAR)
|
SELECT third_runner_up FROM table_name_80 WHERE year = 1969
|
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Which Label-Nr has a Year smaller than 1968, and a Label of world pacific, and an album of chile con soul?
|
CREATE TABLE table_name_78 (
label VARCHAR,
Nr VARCHAR,
from_album VARCHAR,
year VARCHAR
)
|
SELECT label - Nr FROM table_name_78 WHERE year < 1968 AND label = "world pacific" AND from_album = "chile con soul"
|
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Which circuit did Raymond Mays win?
|
CREATE TABLE table_32131 (
"Name" text,
"Circuit" text,
"Date" text,
"Winning driver" text,
"Winning constructor" text,
"Report" text
)
|
SELECT "Circuit" FROM table_32131 WHERE "Winning driver" = 'raymond mays'
|
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Which Home team that has a Tie no of 20?
|
CREATE TABLE table_name_74 (
home_team VARCHAR,
tie_no VARCHAR
)
|
SELECT home_team FROM table_name_74 WHERE tie_no = "20"
|
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] |
Which play had a base of Aosta?
|
CREATE TABLE table_name_96 (play VARCHAR, base VARCHAR)
|
SELECT play FROM table_name_96 WHERE base = "aosta"
|
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What is the lowest total that has a rank less than 8, a silver greater than 6, and 20 as the bronze?
|
CREATE TABLE table_63026 (
"Rank" real,
"Nation" text,
"Gold" real,
"Silver" real,
"Bronze" real,
"Total" real
)
|
SELECT MIN("Total") FROM table_63026 WHERE "Rank" < '8' AND "Silver" > '6' AND "Bronze" = '20'
|
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What is the lowest number of households for the entry with a median income of $41,778 and a population greater than 38,319?
|
CREATE TABLE table_name_77 (
number_of_households INTEGER,
median_family_income VARCHAR,
population VARCHAR
)
|
SELECT MIN(number_of_households) FROM table_name_77 WHERE median_family_income = "$41,778" AND population > 38 OFFSET 319
|
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Count the sum of Pop (2004) which has a Governorate of al mahrah with an Area km smaller than 78,073?
|
CREATE TABLE table_name_15 (
pop__2004_ INTEGER,
governorate VARCHAR,
area_km² VARCHAR
)
|
SELECT SUM(pop__2004_) FROM table_name_15 WHERE governorate = "al mahrah" AND area_km² < 78 OFFSET 073
|
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What is the total rank of the celebrity with a 34.66 average and a season greater than 1?
|
CREATE TABLE table_name_39 (rank VARCHAR, average VARCHAR, season VARCHAR)
|
SELECT COUNT(rank) FROM table_name_39 WHERE average = 34.66 AND season > 1
|
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What is the lowest altitude of the flight with a mach bigger than 0.905 and a duration of 00:06:17?
|
CREATE TABLE table_name_80 (
altitude__ft_ INTEGER,
mach VARCHAR,
duration VARCHAR
)
|
SELECT MIN(altitude__ft_) FROM table_name_80 WHERE mach > 0.905 AND duration = "00:06:17"
|
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[
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] |
show the number of female patients diagnosed for hypertension but not coronary artery disease/ cardiac cath.
|
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 WHERE demographic.gender = "F" AND demographic.diagnosis = "HYPERTENSION;RULE OUT CORONARY ARTERY DISEASE\CARDIAC CATH"
|
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Give me the comparison about ID over the meter_700 .
|
CREATE TABLE record (
ID int,
Result text,
Swimmer_ID int,
Event_ID int
)
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 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
)
|
SELECT meter_700, ID FROM swimmer
|
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Which country has the Highest mountain of rettlkirchspitze?
|
CREATE TABLE table_name_68 (country VARCHAR, highest_mountain VARCHAR)
|
SELECT country FROM table_name_68 WHERE highest_mountain = "rettlkirchspitze"
|
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What was the tournament that was on july 6, 1987?
|
CREATE TABLE table_name_55 (tournament VARCHAR, date VARCHAR)
|
SELECT tournament FROM table_name_55 WHERE date = "july 6, 1987"
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Name the average rating % for shandong satellite tv and share % less than 1.74
|
CREATE TABLE table_name_13 (rating___percentage_ INTEGER, channel VARCHAR, share___percentage_ VARCHAR)
|
SELECT AVG(rating___percentage_) FROM table_name_13 WHERE channel = "shandong satellite tv" AND share___percentage_ < 1.74
|
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Who was the opponent in Game 44?
|
CREATE TABLE table_46153 (
"Game" text,
"Date" text,
"Opponent" text,
"Score" text,
"Location/Attendance" text,
"Record" text
)
|
SELECT "Opponent" FROM table_46153 WHERE "Game" = '44'
|
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how many player with nhl team being vancouver canucks
|
CREATE TABLE table_1473672_9 (
player VARCHAR,
nhl_team VARCHAR
)
|
SELECT COUNT(player) FROM table_1473672_9 WHERE nhl_team = "Vancouver Canucks"
|
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What is the average number played of the team with 1 drawn and 24 against?
|
CREATE TABLE table_name_79 (
played INTEGER,
drawn VARCHAR,
against VARCHAR
)
|
SELECT AVG(played) FROM table_name_79 WHERE drawn = 1 AND against = 24
|
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For all employees who have the letters D or S in their first name, return a bar chart about the distribution of hire_date and the sum of salary bin hire_date by time.
|
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 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 departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
|
SELECT HIRE_DATE, SUM(SALARY) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%'
|
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what's the team where date is february 8
|
CREATE TABLE table_17353 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location Attendance" text,
"Record" text
)
|
SELECT "Team" FROM table_17353 WHERE "Date" = 'February 8'
|
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WHAT IS THE TOTAL AVERAGE WITH A PLACE SMALLER THAN 1?
|
CREATE TABLE table_name_53 (
average VARCHAR,
place INTEGER
)
|
SELECT COUNT(average) FROM table_name_53 WHERE place < 1
|
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Find the names and publication dates of all catalogs that have catalog level number greater than 5 Bin publication dates into Year interval, and count catalog and group by catalog name, order the number of date of publication from low to high order.
|
CREATE TABLE Catalogs (
catalog_id INTEGER,
catalog_name VARCHAR(50),
catalog_publisher VARCHAR(80),
date_of_publication DATETIME,
date_of_latest_revision DATETIME
)
CREATE TABLE Catalog_Structure (
catalog_level_number INTEGER,
catalog_id INTEGER,
catalog_level_name VARCHAR(50)
)
CREATE TABLE Attribute_Definitions (
attribute_id INTEGER,
attribute_name VARCHAR(30),
attribute_data_type VARCHAR(10)
)
CREATE TABLE Catalog_Contents (
catalog_entry_id INTEGER,
catalog_level_number INTEGER,
parent_entry_id INTEGER,
previous_entry_id INTEGER,
next_entry_id INTEGER,
catalog_entry_name VARCHAR(80),
product_stock_number VARCHAR(50),
price_in_dollars DOUBLE,
price_in_euros DOUBLE,
price_in_pounds DOUBLE,
capacity VARCHAR(20),
length VARCHAR(20),
height VARCHAR(20),
width VARCHAR(20)
)
CREATE TABLE Catalog_Contents_Additional_Attributes (
catalog_entry_id INTEGER,
catalog_level_number INTEGER,
attribute_id INTEGER,
attribute_value VARCHAR(255)
)
|
SELECT date_of_publication, COUNT(date_of_publication) FROM Catalogs AS t1 JOIN Catalog_Structure AS t2 ON t1.catalog_id = t2.catalog_id WHERE catalog_level_number > 5 GROUP BY catalog_name ORDER BY COUNT(date_of_publication)
|
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Find the number of students whose age is younger than the average age and group by students' first name in a bar chart, could you show in descending by the y axis?
|
CREATE TABLE Lives_in (
stuid INTEGER,
dormid INTEGER,
room_number INTEGER
)
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_amenity (
amenid INTEGER,
amenity_name VARCHAR(25)
)
CREATE TABLE Dorm (
dormid INTEGER,
dorm_name VARCHAR(20),
student_capacity INTEGER,
gender VARCHAR(1)
)
|
SELECT Fname, COUNT(Fname) FROM Student WHERE Age < (SELECT AVG(Age) FROM Student) GROUP BY Fname ORDER BY COUNT(Fname) DESC
|
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What mission did the astronaut who 38 years old on the mission and who served in NASA serve on?
|
CREATE TABLE table_name_70 (mission VARCHAR, service VARCHAR, age_on_mission VARCHAR)
|
SELECT mission FROM table_name_70 WHERE service = "nasa" AND age_on_mission = 38
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313,
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] |
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