NATURAL_LANG
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446
| SCHEMA
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2.21k
| SQL
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| input_ids
list | attention_mask
list | labels
list |
|---|---|---|---|---|---|
What locations did sid o'neill play football?
|
CREATE TABLE table_16527640_2 (location VARCHAR, player VARCHAR)
|
SELECT location FROM table_16527640_2 WHERE player = "Sid O'Neill"
|
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If the Plain stop is , what is the Non- stop?
|
CREATE TABLE table_9325 (
"Articulatory class" text,
"Non- stop" text,
"Plain stop" text,
"Aspirated stop" text,
"\"Muddy\" voice" text
)
|
SELECT "Non- stop" FROM table_9325 WHERE "Plain stop" = 'ㄷ'
|
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What is Score, when Player is 'Bob Murphy'?
|
CREATE TABLE table_43879 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" text
)
|
SELECT "Score" FROM table_43879 WHERE "Player" = 'bob murphy'
|
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Where the height range is higher than 20000.0 and the shell weight is 12.5, what is the time to feet ratio at 25 degrees?
|
CREATE TABLE table_16439764_1 (
time_to_ft__m__at_25°__seconds_ VARCHAR,
shell__lb_ VARCHAR,
max_height__ft_ VARCHAR
)
|
SELECT time_to_ft__m__at_25°__seconds_ FROM table_16439764_1 WHERE shell__lb_ = "12.5" AND max_height__ft_ > 20000.0
|
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What is the average track number 3:25 long and a title of Great Getting up Mornin'?
|
CREATE TABLE table_name_52 (track_number INTEGER, time VARCHAR, title VARCHAR)
|
SELECT AVG(track_number) FROM table_name_52 WHERE time = "3:25" AND title = "great getting up mornin'"
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Name the votes given for michael russo, genevy dimitrion , manny ortega
|
CREATE TABLE table_1855841_1 (
votes_given VARCHAR,
running_with__in_team_ VARCHAR
)
|
SELECT votes_given FROM table_1855841_1 WHERE running_with__in_team_ = "Michael Russo, Genevy Dimitrion , Manny Ortega"
|
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Who was the artist with a start date of 1966-10-23?
|
CREATE TABLE table_2560677_1 (artist_s_ VARCHAR, start_date VARCHAR)
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SELECT artist_s_ FROM table_2560677_1 WHERE start_date = "1966-10-23"
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3,
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I want to know the 2001 that has a 2004 of a and 2003 of a with 2012 of 3r
|
CREATE TABLE table_name_53 (
Id VARCHAR
)
|
SELECT 2001 FROM table_name_53 WHERE 2004 = "a" AND 2003 = "a" AND 2012 = "3r"
|
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] |
Show me the total number of the flag of ships that are not steered by any captain with Midshipman rank using a bar graph.
|
CREATE TABLE Ship (
Ship_ID int,
Name text,
Type text,
Built_Year real,
Class text,
Flag text
)
CREATE TABLE captain (
Captain_ID int,
Name text,
Ship_ID int,
age text,
Class text,
Rank text
)
|
SELECT Flag, COUNT(Flag) FROM Ship WHERE NOT Ship_ID IN (SELECT Ship_ID FROM captain WHERE Rank = 'Midshipman') GROUP BY Flag
|
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6048,
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How many tournament wins were at Volvo Masters Andalucia?
|
CREATE TABLE table_20583 (
"No." real,
"Date" text,
"Tournament" text,
"Winning score" text,
"To par" text,
"Margin of victory" text,
"Runner(s)-up" text
)
|
SELECT COUNT("No.") FROM table_20583 WHERE "Tournament" = 'Volvo Masters Andalucia'
|
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What is the content of the television service ewtn in the United Kingdom?
|
CREATE TABLE table_name_94 (content VARCHAR, country VARCHAR, television_service VARCHAR)
|
SELECT content FROM table_name_94 WHERE country = "united kingdom" AND television_service = "ewtn"
|
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What is the figure for Tujunga when Pasadena is 134,941?
|
CREATE TABLE table_name_39 (
tujunga VARCHAR,
pasadena VARCHAR
)
|
SELECT tujunga FROM table_name_39 WHERE pasadena = "134,941"
|
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What is February, when Record is '21-29-11'?
|
CREATE TABLE table_8174 (
"Game" real,
"February" real,
"Opponent" text,
"Score" text,
"Record" text
)
|
SELECT "February" FROM table_8174 WHERE "Record" = '21-29-11'
|
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Which 1999 has 2000 as the year-end championship?
|
CREATE TABLE table_name_40 (
Id VARCHAR
)
|
SELECT 1999 FROM table_name_40 WHERE 2000 = "year-end championship"
|
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] |
A pie chart about the proportion of the total number for each team.
|
CREATE TABLE Elimination (
Elimination_ID text,
Wrestler_ID text,
Team text,
Eliminated_By text,
Elimination_Move text,
Time text
)
CREATE TABLE wrestler (
Wrestler_ID int,
Name text,
Reign text,
Days_held text,
Location text,
Event text
)
|
SELECT Team, COUNT(*) FROM Elimination GROUP BY Team
|
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] |
What is the Long when the ryds is 18?
|
CREATE TABLE table_name_14 (
long VARCHAR,
ryds VARCHAR
)
|
SELECT long FROM table_name_14 WHERE ryds = "18"
|
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What is the Host of the Show with a Market of New York?
|
CREATE TABLE table_50181 (
"Show" text,
"Host(s)" text,
"Flagship" text,
"Market" text,
"iHeartRadio" text
)
|
SELECT "Host(s)" FROM table_50181 WHERE "Market" = 'new york'
|
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What is the Elimination for Candice?
|
CREATE TABLE table_name_96 (elimination VARCHAR, wrestler VARCHAR)
|
SELECT elimination FROM table_name_96 WHERE wrestler = "candice"
|
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What is the total number of Top division titles for the club that has more than 40 seasons in top division, a First season of current spell in top division of 1943-44, and more than 89 seasons in Liga MX?
|
CREATE TABLE table_name_55 (
top_division_titles VARCHAR,
number_of_seasons_in_liga_mx VARCHAR,
number_of_seasons_in_top_division VARCHAR,
first_season_of_current_spell_in_top_division VARCHAR
)
|
SELECT COUNT(top_division_titles) FROM table_name_55 WHERE number_of_seasons_in_top_division > 40 AND first_season_of_current_spell_in_top_division = "1943-44" AND number_of_seasons_in_liga_mx > 89
|
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What is the format for the label Mightier than Sword on January 12, 2010 in the United States?
|
CREATE TABLE table_name_50 (format VARCHAR, label VARCHAR, region VARCHAR, date VARCHAR)
|
SELECT format FROM table_name_50 WHERE region = "united states" AND date = "january 12, 2010" AND label = "mightier than sword"
|
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Show the number of document type for different document type description in a pie chart.
|
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15),
Document_Type_Name VARCHAR(255),
Document_Type_Description VARCHAR(255)
)
CREATE TABLE Projects (
Project_ID INTEGER,
Project_Details VARCHAR(255)
)
CREATE TABLE Statements (
Statement_ID INTEGER,
Statement_Details VARCHAR(255)
)
CREATE TABLE Accounts (
Account_ID INTEGER,
Statement_ID INTEGER,
Account_Details VARCHAR(255)
)
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER,
Budget_Type_Code CHAR(15),
Document_Details VARCHAR(255)
)
CREATE TABLE Documents (
Document_ID INTEGER,
Document_Type_Code CHAR(15),
Project_ID INTEGER,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255)
)
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15),
Budget_Type_Description VARCHAR(255)
)
|
SELECT Document_Type_Description, COUNT(Document_Type_Description) FROM Ref_Document_Types GROUP BY Document_Type_Description
|
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What is the Date of the game where the Cavaliers have a Record of 15-27?
|
CREATE TABLE table_name_57 (date VARCHAR, record VARCHAR)
|
SELECT date FROM table_name_57 WHERE record = "15-27"
|
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What is the Runner-up on April 11?
|
CREATE TABLE table_name_36 (
runner_up VARCHAR,
week VARCHAR
)
|
SELECT runner_up FROM table_name_36 WHERE week = "april 11"
|
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Name the league for strikeouts being 451
|
CREATE TABLE table_242813_2 (
league VARCHAR,
strikeouts VARCHAR
)
|
SELECT league FROM table_242813_2 WHERE strikeouts = 451
|
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How many bands are there?
|
CREATE TABLE tracklists (
albumid number,
position number,
songid number
)
CREATE TABLE band (
id number,
firstname text,
lastname text
)
CREATE TABLE vocals (
songid number,
bandmate number,
type text
)
CREATE TABLE performance (
songid number,
bandmate number,
stageposition text
)
CREATE TABLE albums (
aid number,
title text,
year number,
label text,
type text
)
CREATE TABLE instruments (
songid number,
bandmateid number,
instrument text
)
CREATE TABLE songs (
songid number,
title text
)
|
SELECT COUNT(*) FROM band
|
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] |
WHERE THE WEEK NUMBER WAS TOP 8, WHAT WAS THE THEME?
|
CREATE TABLE table_15778392_1 (theme VARCHAR, week__number VARCHAR)
|
SELECT theme FROM table_15778392_1 WHERE week__number = "Top 8"
|
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What is the Player that has a To standard of –4?
|
CREATE TABLE table_name_15 (player VARCHAR, to_par VARCHAR)
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SELECT player FROM table_name_15 WHERE to_par = "–4"
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For each record in schedule, show average of the price for each day in a bar chart, and order x-axis in ascending order.
|
CREATE TABLE cinema (
Cinema_ID int,
Name text,
Openning_year int,
Capacity int,
Location text
)
CREATE TABLE film (
Film_ID int,
Rank_in_series int,
Number_in_season int,
Title text,
Directed_by text,
Original_air_date text,
Production_code text
)
CREATE TABLE schedule (
Cinema_ID int,
Film_ID int,
Date text,
Show_times_per_day int,
Price float
)
|
SELECT Date, AVG(Price) FROM schedule AS T1 JOIN film AS T2 ON T1.Film_ID = T2.Film_ID JOIN cinema AS T3 ON T1.Cinema_ID = T3.Cinema_ID GROUP BY Date ORDER BY Date
|
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Name the fourth district for beverly bodem
|
CREATE TABLE table_20085 (
"First District" text,
"Second District" text,
"Third District" text,
"Fourth District" text,
"Fifth District" text
)
|
SELECT "Fourth District" FROM table_20085 WHERE "First District" = 'Beverly Bodem'
|
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Tell me the average 1st prize for tennessee
|
CREATE TABLE table_57453 (
"Date" text,
"Tournament" text,
"Location" text,
"Purse( $ )" real,
"Winner" text,
"Score" text,
"1st Prize( $ )" real
)
|
SELECT AVG("1st Prize( $ )") FROM table_57453 WHERE "Location" = 'tennessee'
|
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] |
List top 10 employee work longest in the company. List employee's first and last name.
|
CREATE TABLE employees (first_name VARCHAR, last_name VARCHAR, hire_date VARCHAR)
|
SELECT first_name, last_name FROM employees ORDER BY hire_date LIMIT 10
|
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Which country has is Len Mattiace in T10 place?
|
CREATE TABLE table_76809 (
"Place" text,
"Player" text,
"Country" text,
"Score" real,
"To par" text
)
|
SELECT "Country" FROM table_76809 WHERE "Place" = 't10' AND "Player" = 'len mattiace'
|
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what is the money for trevor immelman?
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CREATE TABLE table_name_77 (money___$__ VARCHAR, player VARCHAR)
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SELECT money___$__ FROM table_name_77 WHERE player = "trevor immelman"
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Name the population of people for area being 24.35
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CREATE TABLE table_14465924_1 (population__people_ VARCHAR, area__km_2__ VARCHAR)
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SELECT population__people_ FROM table_14465924_1 WHERE area__km_2__ = "24.35"
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Which nation is Danilo di Luca from?
|
CREATE TABLE table_name_7 (nation VARCHAR, cyclist VARCHAR)
|
SELECT nation FROM table_name_7 WHERE cyclist = "danilo di luca"
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how many patients admitted before the year 2145 with iv drip as their drug route?
|
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 procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admityear < "2145" AND prescriptions.route = "IV DRIP"
|
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When 42.903° n is the latitude how many measurements of longitude are there?
|
CREATE TABLE table_24192190_1 (longitude VARCHAR, latitude VARCHAR)
|
SELECT COUNT(longitude) FROM table_24192190_1 WHERE latitude = "42.903° N"
|
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what is teaching language where the focus is auditing?
|
CREATE TABLE table_12591022_2 (
teaching_language VARCHAR,
focus VARCHAR
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SELECT teaching_language FROM table_12591022_2 WHERE focus = "Auditing"
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How many Februarys have montreal canadiens as the opponent, and 18-25-10 as the record, with a game greater than 53?
|
CREATE TABLE table_name_32 (
february VARCHAR,
game VARCHAR,
opponent VARCHAR,
record VARCHAR
)
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SELECT COUNT(february) FROM table_name_32 WHERE opponent = "montreal canadiens" AND record = "18-25-10" AND game > 53
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What was the team #1 for the match that had a result of 0-3?
|
CREATE TABLE table_50062 (
"Date" text,
"Team #1" text,
"Res." text,
"Team #2" text,
"Competition" text,
"Attendance" real
)
|
SELECT "Team #1" FROM table_50062 WHERE "Res." = '0-3'
|
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How many points in total were scored by the player whose Oberstdork score and rank were 252.6 (11)?
|
CREATE TABLE table_14948647_1 (
total_points VARCHAR,
oberstdorf__rk_ VARCHAR
)
|
SELECT total_points FROM table_14948647_1 WHERE oberstdorf__rk_ = "252.6 (11)"
|
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When interjection is the subject who are the lyrics by?
|
CREATE TABLE table_191105_2 (lyrics_by VARCHAR, subject VARCHAR)
|
SELECT lyrics_by FROM table_191105_2 WHERE subject = "interjection"
|
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What were the casualties in the Baghlan location?
|
CREATE TABLE table_name_64 (casualties VARCHAR, location VARCHAR)
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SELECT casualties FROM table_name_64 WHERE location = "baghlan"
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Phillip Landrum was first elected in 1952 from the ninth district of Georgia.
|
CREATE TABLE table_1341707_12 (district VARCHAR, first_elected VARCHAR)
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SELECT district FROM table_1341707_12 WHERE first_elected = 1952
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Who won in 1988 with a total less than 287?
|
CREATE TABLE table_64946 (
"Player" text,
"Country" text,
"Year(s) won" text,
"Total" real,
"To par" text,
"Finish" text
)
|
SELECT "Player" FROM table_64946 WHERE "Total" < '287' AND "Year(s) won" = '1988'
|
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What position is Charone Peake?
|
CREATE TABLE table_11677691_3 (position VARCHAR, player VARCHAR)
|
SELECT position FROM table_11677691_3 WHERE player = "Charone Peake"
|
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What is the minimum enrollment at barton college
|
CREATE TABLE table_16989 (
"Institution" text,
"Location" text,
"Founded" real,
"Type" text,
"Enrollment" real,
"Joined" text,
"Nickname" text
)
|
SELECT MIN("Enrollment") FROM table_16989 WHERE "Institution" = 'Barton College'
|
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What is the smallest preliminary when swimsuit is less than 8.822, interview is more than 8.744 and gown is more than 9.333?
|
CREATE TABLE table_48902 (
"State" text,
"Preliminary" real,
"Interview" real,
"Swimsuit" real,
"Evening Gown" real,
"Average" real
)
|
SELECT MIN("Preliminary") FROM table_48902 WHERE "Swimsuit" < '8.822' AND "Interview" > '8.744' AND "Evening Gown" > '9.333'
|
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What is the family of the constellation that has lyncis / l ns s/ as genitive?
|
CREATE TABLE table_30698 (
"Constellation" text,
"IAU abbreviation" text,
"Other abbreviation" text,
"Genitive" text,
"Family" text,
"Origin" text,
"Meaning" text,
"Brightest star" text
)
|
SELECT "Family" FROM table_30698 WHERE "Genitive" = 'Lyncis /ˈlɪnsɨs/'
|
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Which of the networks originate in Xalapa?
|
CREATE TABLE table_2899987_2 (network VARCHAR, origin VARCHAR)
|
SELECT network FROM table_2899987_2 WHERE origin = "Xalapa"
|
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What is the crowd size for st kilda as the home team?
|
CREATE TABLE table_56079 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
)
|
SELECT "Crowd" FROM table_56079 WHERE "Home team" = 'st kilda'
|
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provide the number of christian scientist religious background patients who have lab test item id 51254.
|
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 diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.religion = "CHRISTIAN SCIENTIST" AND lab.itemid = "51254"
|
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Name the phoneme for realizaiton of [ j]
|
CREATE TABLE table_name_13 (
phoneme VARCHAR,
realization VARCHAR
)
|
SELECT phoneme FROM table_name_13 WHERE realization = "[ɪj]"
|
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What was the final score when the player was an e to par?
|
CREATE TABLE table_name_97 (
score VARCHAR,
to_par VARCHAR
)
|
SELECT score FROM table_name_97 WHERE to_par = "e"
|
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How many touchdowns were scored by William Cole?
|
CREATE TABLE table_name_88 (touchdowns VARCHAR, player VARCHAR)
|
SELECT touchdowns FROM table_name_88 WHERE player = "william cole"
|
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Which movie had the character ' Daffy Duck
|
CREATE TABLE written_by (
id int,
msid int,
wid int
)
CREATE TABLE writer (
wid int,
gender text,
name text,
nationality text,
birth_city text,
birth_year int
)
CREATE TABLE actor (
aid int,
gender text,
name text,
nationality text,
birth_city text,
birth_year int
)
CREATE TABLE directed_by (
id int,
msid int,
did int
)
CREATE TABLE classification (
id int,
msid int,
gid int
)
CREATE TABLE company (
id int,
name text,
country_code varchar
)
CREATE TABLE tags (
id int,
msid int,
kid int
)
CREATE TABLE cast (
id int,
msid int,
aid int,
role text
)
CREATE TABLE genre (
gid int,
genre text
)
CREATE TABLE movie (
mid int,
title text,
release_year int,
title_aka text,
budget text
)
CREATE TABLE director (
did int,
gender text,
name text,
nationality text,
birth_city text,
birth_year int
)
CREATE TABLE producer (
pid int,
gender text,
name text,
nationality text,
birth_city text,
birth_year int
)
CREATE TABLE copyright (
id int,
msid int,
cid int
)
CREATE TABLE made_by (
id int,
msid int,
pid int
)
CREATE TABLE keyword (
id int,
keyword text
)
CREATE TABLE tv_series (
sid int,
title text,
release_year int,
num_of_seasons int,
num_of_episodes int,
title_aka text,
budget text
)
|
SELECT movie.title FROM cast, movie WHERE cast.role = 'Daffy Duck' AND movie.mid = cast.msid
|
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How many top 10s associated with 3 top 5s and under 22 cuts made?
|
CREATE TABLE table_74860 (
"Tournament" text,
"Wins" real,
"Top-5" real,
"Top-10" real,
"Top-25" real,
"Events" real,
"Cuts made" real
)
|
SELECT MAX("Top-10") FROM table_74860 WHERE "Top-5" = '3' AND "Cuts made" < '22'
|
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how many patients whose insurance is private and procedure long title is open biopsy of liver?
|
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 procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
|
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 = "Open biopsy of liver"
|
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What is the Location for the newington international airport?
|
CREATE TABLE table_name_6 (location VARCHAR, name VARCHAR)
|
SELECT location FROM table_name_6 WHERE name = "newington international airport"
|
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What record had an alca-271 cd?
|
CREATE TABLE table_name_88 (
region VARCHAR,
format VARCHAR,
catalog VARCHAR
)
|
SELECT region FROM table_name_88 WHERE format = "cd" AND catalog = "alca-271"
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] |
how many patients whose admission location is phys referral/normal deli and diagnoses icd9 code is 43411?
|
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_location = "PHYS REFERRAL/NORMAL DELI" AND diagnoses.icd9_code = "43411"
|
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] |
What are the downloaded numbers and their release types?
|
CREATE TABLE torrents (
groupname text,
totalsnatched number,
artist text,
groupyear number,
releasetype text,
groupid number,
id number
)
CREATE TABLE tags (
index number,
id number,
tag text
)
|
SELECT SUM(totalsnatched), releasetype FROM torrents GROUP BY releasetype
|
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Find the name of the ships that are steered by both a captain with Midshipman rank and a captain with Lieutenant rank.
|
CREATE TABLE ship (name VARCHAR, ship_id VARCHAR); CREATE TABLE captain (ship_id VARCHAR, rank VARCHAR)
|
SELECT t1.name FROM ship AS t1 JOIN captain AS t2 ON t1.ship_id = t2.ship_id WHERE t2.rank = 'Midshipman' INTERSECT SELECT t1.name FROM ship AS t1 JOIN captain AS t2 ON t1.ship_id = t2.ship_id WHERE t2.rank = 'Lieutenant'
|
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What driver had a total time of 16:58?
|
CREATE TABLE table_name_66 (driver VARCHAR, total_time VARCHAR)
|
SELECT driver FROM table_name_66 WHERE total_time = "16:58"
|
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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, return a bar chart about the distribution of job_id and the sum of employee_id , and group by attribute job_id, could you display in ascending by the names?
|
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE 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 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)
)
|
SELECT JOB_ID, SUM(EMPLOYEE_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 GROUP BY JOB_ID ORDER BY JOB_ID
|
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What is the total number of CFL teams in the college Wilfrid Laurier
|
CREATE TABLE table_15817998_5 (cfl_team VARCHAR, college VARCHAR)
|
SELECT COUNT(cfl_team) FROM table_15817998_5 WHERE college = "Wilfrid Laurier"
|
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Find the average of credits of courses that have more than one prerequisite for each title with a bar chart.
|
CREATE TABLE department (
dept_name varchar(20),
building varchar(15),
budget numeric(12,2)
)
CREATE TABLE instructor (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
salary numeric(8,2)
)
CREATE TABLE prereq (
course_id varchar(8),
prereq_id varchar(8)
)
CREATE TABLE student (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
tot_cred numeric(3,0)
)
CREATE TABLE time_slot (
time_slot_id varchar(4),
day varchar(1),
start_hr numeric(2),
start_min numeric(2),
end_hr numeric(2),
end_min numeric(2)
)
CREATE TABLE teaches (
ID varchar(5),
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0)
)
CREATE TABLE course (
course_id varchar(8),
title varchar(50),
dept_name varchar(20),
credits numeric(2,0)
)
CREATE TABLE advisor (
s_ID varchar(5),
i_ID varchar(5)
)
CREATE TABLE takes (
ID varchar(5),
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0),
grade varchar(2)
)
CREATE TABLE section (
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0),
building varchar(15),
room_number varchar(7),
time_slot_id varchar(4)
)
CREATE TABLE classroom (
building varchar(15),
room_number varchar(7),
capacity numeric(4,0)
)
|
SELECT title, AVG(credits) FROM course AS T1 JOIN prereq AS T2 ON T1.course_id = T2.course_id GROUP BY title
|
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What is the sum for the week with the date october 30, 1994?
|
CREATE TABLE table_45257 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"Attendance" text
)
|
SELECT SUM("Week") FROM table_45257 WHERE "Date" = 'october 30, 1994'
|
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What is the frequency for the Christian Kawz-fm Translator station?
|
CREATE TABLE table_134987_3 (frequency VARCHAR, format VARCHAR)
|
SELECT frequency FROM table_134987_3 WHERE format = "Christian KAWZ-FM translator"
|
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When the regular season of 2nd, Northeast and the year was less than 2008 what was the total number of Division?
|
CREATE TABLE table_40634 (
"Year" real,
"Division" real,
"League" text,
"Regular Season" text,
"Playoffs" text,
"Open Cup" text
)
|
SELECT COUNT("Division") FROM table_40634 WHERE "Regular Season" = '2nd, northeast' AND "Year" < '2008'
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The game played 31 May 2010 was played on what surface?
|
CREATE TABLE table_name_98 (
surface VARCHAR,
date VARCHAR
)
|
SELECT surface FROM table_name_98 WHERE date = "31 may 2010"
|
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Which DOB has Throws of r, and a Position of c, and a First of torey?
|
CREATE TABLE table_name_25 (dob VARCHAR, first VARCHAR, throws VARCHAR, position VARCHAR)
|
SELECT dob FROM table_name_25 WHERE throws = "r" AND position = "c" AND first = "torey"
|
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What is the attendance for a week smaller than 9 with a result of L 38-20?
|
CREATE TABLE table_name_67 (attendance INTEGER, result VARCHAR, week VARCHAR)
|
SELECT MAX(attendance) FROM table_name_67 WHERE result = "l 38-20" AND week < 9
|
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Which Gold has a Nation of south korea (kor), and Bronze smaller than 65?
|
CREATE TABLE table_name_83 (gold INTEGER, nation VARCHAR, bronze VARCHAR)
|
SELECT AVG(gold) FROM table_name_83 WHERE nation = "south korea (kor)" AND bronze < 65
|
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Which District has a First elected larger than 1858?
|
CREATE TABLE table_name_21 (district VARCHAR, first_elected INTEGER)
|
SELECT district FROM table_name_21 WHERE first_elected > 1858
|
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What club has a Try Bonus of 8?
|
CREATE TABLE table_name_16 (
club VARCHAR,
try_bonus VARCHAR
)
|
SELECT club FROM table_name_16 WHERE try_bonus = "8"
|
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Which position did the player from the hometown of Dallas, TX play?
|
CREATE TABLE table_11677100_12 (position VARCHAR, hometown VARCHAR)
|
SELECT position FROM table_11677100_12 WHERE hometown = "Dallas, TX"
|
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What is every high point when the team is Washington?
|
CREATE TABLE table_17325580_6 (high_points VARCHAR, team VARCHAR)
|
SELECT high_points FROM table_17325580_6 WHERE team = "Washington"
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Which state has a Reason for termination of retirement, and an Active service of 1926 1928?
|
CREATE TABLE table_15578 (
"State" text,
"Born/Died" text,
"Active service" text,
"Chief Judge" text,
"Senior status" text,
"Appointed by" text,
"Reason for termination" text
)
|
SELECT "State" FROM table_15578 WHERE "Reason for termination" = 'retirement' AND "Active service" = '1926–1928'
|
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What is the result for 2006 of a tournament that is 107 in 2010?
|
CREATE TABLE table_67900 (
"Tournament" text,
"2006" text,
"2007" text,
"2008" text,
"2009" text,
"2010" text,
"2011" text,
"2012" text
)
|
SELECT "2006" FROM table_67900 WHERE "2010" = '107'
|
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high cardiovascular risk defined as at least one of the following: 7.5 percentile risk or higher using ascvd risk calculator; myocardial infarction more than 6 months ago; diabetes ; taking medication for blood pressure > 140 / 90 blood pressure ; taking medication for lyperlipidemia ldl > 160
|
CREATE TABLE table_train_139 (
"id" int,
"ascvd_risk_calculator" float,
"systolic_blood_pressure_sbp" int,
"stomach_problems" bool,
"muscle_weakness" bool,
"heart_disease" bool,
"stroke" bool,
"renal_disease" bool,
"cerebrovascular_disease" bool,
"hepatic_disease" bool,
"cardiovascular_disease" bool,
"bowel_problems" bool,
"diastolic_blood_pressure_dbp" int,
"lyperlipidemia_ldl" int,
"diabetes" bool,
"hepatitis_c_antibody" bool,
"hepatitis_b_surface_antigen" bool,
"serum_creatinine" float,
"ulcerative_colitis" bool,
"blockage" bool,
"hypertension" bool,
"myocardial_infarction" bool,
"NOUSE" float
)
|
SELECT * FROM table_train_139 WHERE cardiovascular_disease = 1 OR (ascvd_risk_calculator > 7.5 OR myocardial_infarction = 1 OR diabetes = 1 OR (systolic_blood_pressure_sbp >= 140 OR diastolic_blood_pressure_dbp >= 90) OR lyperlipidemia_ldl > 160)
|
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mmse total score > 27
|
CREATE TABLE table_train_81 (
"id" int,
"high_glucose" bool,
"mini_mental_state_examination_mmse" int,
"uncontrolled_diabetes" bool,
"modified_hachinski_ischemia_scale" int,
"clinical_dementia_rating_cdr" float,
"NOUSE" float
)
|
SELECT * FROM table_train_81 WHERE mini_mental_state_examination_mmse > 27
|
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Which malaysian team classification had mohd nur rizuan zainal as points classification?
|
CREATE TABLE table_22464308_2 (malaysian_team_classification VARCHAR, points_classification VARCHAR)
|
SELECT malaysian_team_classification FROM table_22464308_2 WHERE points_classification = "Mohd Nur Rizuan Zainal"
|
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Show the number of the dates of transactions if the share count is bigger than 100 or the amount is bigger than 1000.
|
CREATE TABLE Purchases (
purchase_transaction_id INTEGER,
purchase_details VARCHAR(255)
)
CREATE TABLE Sales (
sales_transaction_id INTEGER,
sales_details VARCHAR(255)
)
CREATE TABLE Transactions (
transaction_id INTEGER,
investor_id INTEGER,
transaction_type_code VARCHAR(10),
date_of_transaction DATETIME,
amount_of_transaction DECIMAL(19,4),
share_count VARCHAR(40),
other_details VARCHAR(255)
)
CREATE TABLE Investors (
investor_id INTEGER,
Investor_details VARCHAR(255)
)
CREATE TABLE Ref_Transaction_Types (
transaction_type_code VARCHAR(10),
transaction_type_description VARCHAR(80)
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CREATE TABLE Lots (
lot_id INTEGER,
investor_id INTEGER,
lot_details VARCHAR(255)
)
CREATE TABLE Transactions_Lots (
transaction_id INTEGER,
lot_id INTEGER
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|
SELECT date_of_transaction, COUNT(date_of_transaction) FROM Transactions WHERE share_count > 100 OR amount_of_transaction > 1000
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What season has 6 races and the team is Australia?
|
CREATE TABLE table_name_90 (season VARCHAR, races VARCHAR, team VARCHAR)
|
SELECT season FROM table_name_90 WHERE races = 6 AND team = "australia"
|
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How many values for attendance on the date of September 5?
|
CREATE TABLE table_23916462_3 (attendance VARCHAR, date VARCHAR)
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SELECT COUNT(attendance) FROM table_23916462_3 WHERE date = "September 5"
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Name the size of the screen that came out in 2006 and is iliad
|
CREATE TABLE table_name_73 (screen_size__inch_ VARCHAR, intro_year VARCHAR, model VARCHAR)
|
SELECT screen_size__inch_ FROM table_name_73 WHERE intro_year = "2006" AND model = "iliad"
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Name the title with presentation of credentials of april 10, 1907
|
CREATE TABLE table_name_62 (
title VARCHAR,
presentation_of_credentials VARCHAR
)
|
SELECT title FROM table_name_62 WHERE presentation_of_credentials = "april 10, 1907"
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What race after round 6 did Graham Rahal win with a pole position of graham rahal?
|
CREATE TABLE table_name_59 (
race_name VARCHAR,
pole_position VARCHAR,
winning_driver VARCHAR,
round VARCHAR
)
|
SELECT race_name FROM table_name_59 WHERE winning_driver = "graham rahal" AND round > 6 AND pole_position = "graham rahal"
|
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] |
Which Water (sqmi) has a Pop (2010) of 359, and a Longitude smaller than -97.176811?
|
CREATE TABLE table_name_91 (
water__sqmi_ INTEGER,
pop__2010_ VARCHAR,
longitude VARCHAR
)
|
SELECT MAX(water__sqmi_) FROM table_name_91 WHERE pop__2010_ = 359 AND longitude < -97.176811
|
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Which tournament did Thomas Enqvist win?
|
CREATE TABLE table_name_23 (
tournament VARCHAR,
winner VARCHAR
)
|
SELECT tournament FROM table_name_23 WHERE winner = "thomas enqvist"
|
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What is the highest average a contestant from Iowa with a swimsuit smaller than 9.267 has?
|
CREATE TABLE table_name_14 (average INTEGER, state VARCHAR, swimsuit VARCHAR)
|
SELECT MAX(average) FROM table_name_14 WHERE state = "iowa" AND swimsuit < 9.267
|
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what is the name when death is november 10, 1842?
|
CREATE TABLE table_50854 (
"Name" text,
"Other names" text,
"Birth" text,
"Death" text,
"Death Place" text,
"Mother" text
)
|
SELECT "Name" FROM table_50854 WHERE "Death" = 'november 10, 1842'
|
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Name the simplified charaacters being hsin-y an i-ma
|
CREATE TABLE table_16162581_1 (
simplified_characters VARCHAR,
wade_giles VARCHAR
)
|
SELECT simplified_characters FROM table_16162581_1 WHERE wade_giles = "hsin-yüan … i-ma"
|
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Show the number of documents in different starting date Bin starting date by year interval and group by location code with a group line chart, sort x axis from low to high order.
|
CREATE TABLE Ref_Locations (
Location_Code CHAR(15),
Location_Name VARCHAR(255),
Location_Description VARCHAR(255)
)
CREATE TABLE Roles (
Role_Code CHAR(15),
Role_Name VARCHAR(255),
Role_Description VARCHAR(255)
)
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255)
)
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME,
Day_Number INTEGER
)
CREATE TABLE Document_Locations (
Document_ID INTEGER,
Location_Code CHAR(15),
Date_in_Location_From DATETIME,
Date_in_Locaton_To DATETIME
)
CREATE TABLE All_Documents (
Document_ID INTEGER,
Date_Stored DATETIME,
Document_Type_Code CHAR(15),
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255)
)
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15),
Document_Type_Name VARCHAR(255),
Document_Type_Description VARCHAR(255)
)
CREATE TABLE Employees (
Employee_ID INTEGER,
Role_Code CHAR(15),
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1),
Date_of_Birth DATETIME,
Other_Details VARCHAR(255)
)
|
SELECT Date_in_Location_From, COUNT(Date_in_Location_From) FROM Document_Locations GROUP BY Location_Code ORDER BY Date_in_Location_From
|
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What country is the Eurasia Astana team from?
|
CREATE TABLE table_name_69 (
country VARCHAR,
team VARCHAR
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SELECT country FROM table_name_69 WHERE team = "eurasia astana"
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What chassis does Gary Bettenhausen use?
|
CREATE TABLE table_name_13 (chassis VARCHAR, drivers VARCHAR)
|
SELECT chassis FROM table_name_13 WHERE drivers = "gary bettenhausen"
|
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What is the Region with a Catalog that is vlmx 1087-3?
|
CREATE TABLE table_name_27 (region VARCHAR, catalog VARCHAR)
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SELECT region FROM table_name_27 WHERE catalog = "vlmx 1087-3"
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what is drug type and drug code of drug name vial?
|
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT prescriptions.drug_type, prescriptions.formulary_drug_cd FROM prescriptions WHERE prescriptions.drug = "Vial"
|
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What name has 8.19 as the mark, with 3 as the lane?
|
CREATE TABLE table_name_32 (name VARCHAR, mark VARCHAR, lane VARCHAR)
|
SELECT name FROM table_name_32 WHERE mark = "8.19" AND lane = 3
|
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