NATURAL_LANG
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2.21k
| SQL
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|---|---|---|---|---|---|
WHAT IS THE 2010 WITH 2012 OF 2R AT MIAMI MASTERS?
|
CREATE TABLE table_61650 (
"Tournament" text,
"2005" text,
"2006" text,
"2007" text,
"2008" text,
"2009" text,
"2010" text,
"2011" text,
"2012" text
)
|
SELECT "2010" FROM table_61650 WHERE "2012" = '2r' AND "Tournament" = 'miami masters'
|
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Name the casualities for nation of incident of hostile on 2006-06-26
|
CREATE TABLE table_name_43 (
casualties VARCHAR,
nature_of_incident VARCHAR,
date VARCHAR
)
|
SELECT casualties FROM table_name_43 WHERE nature_of_incident = "hostile" AND date = "2006-06-26"
|
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hba1c > 6 %
|
CREATE TABLE table_train_175 (
"id" int,
"lipid_lowering_therapy" bool,
"hemoglobin_a1c_hba1c" float,
"diabetic" string,
"fasting_serum_triglycerides" int,
"gilbert_syndrome" bool,
"age" float,
"alanine_aminotransferase" bool,
"NOUSE" float
)
|
SELECT * FROM table_train_175 WHERE hemoglobin_a1c_hba1c > 6
|
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what is the number of patients whose drug route is oral?
|
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
)
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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.route = "ORAL"
|
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What's the Year average that's got Trim of LS/LT and Power of HP (KW)?
|
CREATE TABLE table_name_51 (
year INTEGER,
trim VARCHAR,
power VARCHAR
)
|
SELECT AVG(year) FROM table_name_51 WHERE trim = "ls/lt" AND power = "hp (kw)"
|
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What is the sub-parish of the church located in Fortun?
|
CREATE TABLE table_178398_1 (sub_parish__sogn_ VARCHAR, location_of_the_church VARCHAR)
|
SELECT sub_parish__sogn_ FROM table_178398_1 WHERE location_of_the_church = "Fortun"
|
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What was the date of the victory when the Axis Unit was 5./jg 3?
|
CREATE TABLE table_13079 (
"Date (dd.mm.yyyy)" text,
"Soviet Unit" text,
"Aircraft flown" text,
"Enemy Aircraft" text,
"Axis Unit" text
)
|
SELECT "Date (dd.mm.yyyy)" FROM table_13079 WHERE "Axis Unit" = '5./jg 3'
|
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what game ended f-a with a round of round 1 replay
|
CREATE TABLE table_63968 (
"Date" text,
"Round" text,
"Opponents" text,
"H / A" text,
"Result F \u2013 A" text
)
|
SELECT "Result F \u2013 A" FROM table_63968 WHERE "Round" = 'round 1 replay'
|
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what is procedure icd9 code and procedure short title of subject id 8440?
|
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 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 procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT procedures.icd9_code, procedures.short_title FROM procedures WHERE procedures.subject_id = "8440"
|
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What is the Name, when the Time is 8:10.1?
|
CREATE TABLE table_name_92 (
name VARCHAR,
time VARCHAR
)
|
SELECT name FROM table_name_92 WHERE time = "8:10.1"
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How large in US customary terms is the unit called butylka (vodochnaya)?
|
CREATE TABLE table_name_33 (
us_customary VARCHAR,
unit VARCHAR
)
|
SELECT us_customary FROM table_name_33 WHERE unit = "butylka (vodochnaya)"
|
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Give me the comparison about School_ID over the All_Neutral by a bar chart, and sort in descending by the bars.
|
CREATE TABLE basketball_match (
Team_ID int,
School_ID int,
Team_Name text,
ACC_Regular_Season text,
ACC_Percent text,
ACC_Home text,
ACC_Road text,
All_Games text,
All_Games_Percent int,
All_Home text,
All_Road text,
All_Neutral text
)
CREATE TABLE university (
School_ID int,
School text,
Location text,
Founded real,
Affiliation text,
Enrollment real,
Nickname text,
Primary_conference text
)
|
SELECT All_Neutral, School_ID FROM basketball_match ORDER BY All_Neutral DESC
|
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what title appears before the self preservation society ?
|
CREATE TABLE table_203_570 (
id number,
"#" number,
"title" text,
"tpb isbn" text,
"tpb release date" text,
"tpb page number" number,
"collected material" text
)
|
SELECT "title" FROM table_203_570 WHERE id = (SELECT id FROM table_203_570 WHERE "title" = 'the self-preservation society') - 1
|
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what is the number of patients whose admission type is emergency and year of death is less than or equal to 2180?
|
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
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 WHERE demographic.admission_type = "EMERGENCY" AND demographic.dod_year <= "2180.0"
|
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Show all student IDs with the number of sports and total number of games played
|
CREATE TABLE sportsinfo (
stuid number,
sportname text,
hoursperweek number,
gamesplayed number,
onscholarship text
)
CREATE TABLE student (
stuid number,
lname text,
fname text,
age number,
sex text,
major number,
advisor number,
city_code text
)
CREATE TABLE plays_games (
stuid number,
gameid number,
hours_played number
)
CREATE TABLE video_games (
gameid number,
gname text,
gtype text
)
|
SELECT stuid, COUNT(*), SUM(gamesplayed) FROM sportsinfo GROUP BY stuid
|
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What is the laid down date of the destroyer with a r29 pennant?
|
CREATE TABLE table_name_37 (laid_down VARCHAR, pennant VARCHAR)
|
SELECT laid_down FROM table_name_37 WHERE pennant = "r29"
|
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What's the lowest number of total passengers (millions) for an annual entry/exit of 36.609?
|
CREATE TABLE table_name_32 (
total_passengers__millions__2011_12 INTEGER,
annual_entry_exit__millions__2011_12 VARCHAR
)
|
SELECT MIN(total_passengers__millions__2011_12) FROM table_name_32 WHERE annual_entry_exit__millions__2011_12 = 36.609
|
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which author had all of his titles ' first edition lengths above 300 pp ?
|
CREATE TABLE table_203_394 (
id number,
"title" text,
"author" text,
"date" number,
"length\n(first edition)" text
)
|
SELECT "author" FROM table_203_394 GROUP BY "author" HAVING MIN("length\n(first edition)") > 300
|
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What is the Game number when the Rangers have a Record of 25-24-11?
|
CREATE TABLE table_name_18 (
game VARCHAR,
record VARCHAR
)
|
SELECT COUNT(game) FROM table_name_18 WHERE record = "25-24-11"
|
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Give me the comparison about Team_ID over the ACC_Road , and group by attribute All_Home, I want to order from high to low by the ACC_Road.
|
CREATE TABLE university (
School_ID int,
School text,
Location text,
Founded real,
Affiliation text,
Enrollment real,
Nickname text,
Primary_conference text
)
CREATE TABLE basketball_match (
Team_ID int,
School_ID int,
Team_Name text,
ACC_Regular_Season text,
ACC_Percent text,
ACC_Home text,
ACC_Road text,
All_Games text,
All_Games_Percent int,
All_Home text,
All_Road text,
All_Neutral text
)
|
SELECT ACC_Road, Team_ID FROM basketball_match GROUP BY All_Home, ACC_Road ORDER BY ACC_Road DESC
|
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What is the score for Australia with a place of 4?
|
CREATE TABLE table_name_87 (
score VARCHAR,
country VARCHAR,
place VARCHAR
)
|
SELECT score FROM table_name_87 WHERE country = "australia" AND place = "4"
|
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Find the email and phone number of the customers who have never filed a complaint before.
|
CREATE TABLE complaints (
complaint_id number,
product_id number,
customer_id number,
complaint_outcome_code text,
complaint_status_code text,
complaint_type_code text,
date_complaint_raised time,
date_complaint_closed time,
staff_id number
)
CREATE TABLE customers (
customer_id number,
customer_type_code text,
address_line_1 text,
address_line_2 text,
town_city text,
state text,
email_address text,
phone_number text
)
CREATE TABLE products (
product_id number,
parent_product_id number,
product_category_code text,
date_product_first_available time,
date_product_discontinued time,
product_name text,
product_description text,
product_price number
)
CREATE TABLE staff (
staff_id number,
gender text,
first_name text,
last_name text,
email_address text,
phone_number text
)
|
SELECT email_address, phone_number FROM customers WHERE NOT customer_id IN (SELECT customer_id FROM complaints)
|
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Who had the statistic of most assists?
|
CREATE TABLE table_name_93 (
name VARCHAR,
statistic VARCHAR
)
|
SELECT name FROM table_name_93 WHERE statistic = "most assists"
|
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What is the position of the player with a height of 205 and shirt no 8?
|
CREATE TABLE table_name_14 (position VARCHAR, height VARCHAR, shirt_no VARCHAR)
|
SELECT position FROM table_name_14 WHERE height = 205 AND shirt_no = 8
|
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What is the Overall of the pick less than 20?
|
CREATE TABLE table_name_16 (overall VARCHAR, pick__number INTEGER)
|
SELECT overall FROM table_name_16 WHERE pick__number < 20
|
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List the carriers of devices in ascending alphabetical order.
|
CREATE TABLE device (Carrier VARCHAR)
|
SELECT Carrier FROM device ORDER BY Carrier
|
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] |
A bar chart for finding the number of the names of stadiums that some Australian swimmers have been to, could you list by the total number from high to low?
|
CREATE TABLE record (
ID int,
Result text,
Swimmer_ID int,
Event_ID int
)
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
)
|
SELECT T4.Name, COUNT(T4.Name) FROM swimmer AS t1 JOIN record AS t2 ON t1.ID = t2.Swimmer_ID JOIN event AS t3 ON t2.Event_ID = t3.ID JOIN stadium AS t4 ON t4.ID = t3.Stadium_ID WHERE t1.Nationality = 'Australia' GROUP BY T4.Name ORDER BY COUNT(T4.Name) DESC
|
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What is the To par value that goes with a Score of 70-69=139?
|
CREATE TABLE table_name_78 (to_par VARCHAR, score VARCHAR)
|
SELECT to_par FROM table_name_78 WHERE score = 70 - 69 = 139
|
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What is the background of the celebrity who had the result 13 the celebrity apprentice (2008-03-27)?
|
CREATE TABLE table_12286195_1 (
background VARCHAR,
result VARCHAR
)
|
SELECT background FROM table_12286195_1 WHERE result = "13 The celebrity Apprentice (2008-03-27)"
|
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Name the winner for 26 january 2009
|
CREATE TABLE table_23438 (
"Episode" text,
"First broadcast" text,
"Rufus guest" text,
"Marcus guest" text,
"Winner" text
)
|
SELECT "Winner" FROM table_23438 WHERE "First broadcast" = '26 January 2009'
|
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If the region is the Southern district of Texas, what is the citation?
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CREATE TABLE table_22901612_2 (citation VARCHAR, region VARCHAR)
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SELECT citation FROM table_22901612_2 WHERE region = "Southern District of Texas"
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What's the attendance of the game with a score of 5-4?
|
CREATE TABLE table_name_52 (attendance VARCHAR, score VARCHAR)
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SELECT attendance FROM table_name_52 WHERE score = "5-4"
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What is the Venue of the Competition on 2001-05-05?
|
CREATE TABLE table_name_38 (venue VARCHAR, date VARCHAR)
|
SELECT venue FROM table_name_38 WHERE date = "2001-05-05"
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How tall is the 52 story building?
|
CREATE TABLE table_name_82 (
height VARCHAR,
stories VARCHAR
)
|
SELECT height FROM table_name_82 WHERE stories = 52
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What artist was released in 2005?
|
CREATE TABLE table_name_71 (artist VARCHAR, year VARCHAR)
|
SELECT artist FROM table_name_71 WHERE year = 2005
|
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What is the Engine with 3 as the start in the year of 2007?
|
CREATE TABLE table_6326 (
"Year" real,
"Chassis" text,
"Engine" text,
"Start" text,
"Finish" text,
"Team" text
)
|
SELECT "Engine" FROM table_6326 WHERE "Start" = '3' AND "Year" = '2007'
|
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What is the long in 1994?
|
CREATE TABLE table_51793 (
"Year" text,
"Team" text,
"Comp" text,
"Long" text,
"Rate" text,
"RAtt" text,
"RYds" text,
"RAvg" text
)
|
SELECT "Long" FROM table_51793 WHERE "Year" = '1994'
|
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What's the average year for the accolade 100 greatest singles of all time?
|
CREATE TABLE table_name_57 (year INTEGER, accolade VARCHAR)
|
SELECT AVG(year) FROM table_name_57 WHERE accolade = "100 greatest singles of all time"
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What was the 1997 value when 2002 was A and 2003 was 1R?
|
CREATE TABLE table_name_61 (Id VARCHAR)
|
SELECT 1997 FROM table_name_61 WHERE 2002 = "a" AND 2003 = "1r"
|
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Who were the initial owners of Wasco in 1858?
|
CREATE TABLE table_name_57 (
initial_owners VARCHAR,
year_built VARCHAR,
name VARCHAR
)
|
SELECT initial_owners FROM table_name_57 WHERE year_built = 1858 AND name = "wasco"
|
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What date was the venue at VFL park?
|
CREATE TABLE table_name_97 (date VARCHAR, venue VARCHAR)
|
SELECT date FROM table_name_97 WHERE venue = "vfl park"
|
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What is the Triad frew with a day power of 5,000?
|
CREATE TABLE table_32766 (
"Freq" real,
"Call" text,
"City" text,
"Owner" text,
"Day Power ( W )" real,
"Night Power" real,
"Format" text,
"Stereo" text
)
|
SELECT COUNT("Freq") FROM table_32766 WHERE "Day Power ( W )" = '5,000' AND "Owner" = 'triad'
|
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Which week 3 had a week 1 of Kristy Dwyer?
|
CREATE TABLE table_name_30 (
week_3 VARCHAR,
week_1 VARCHAR
)
|
SELECT week_3 FROM table_name_30 WHERE week_1 = "kristy dwyer"
|
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For those records from the products and each product's manufacturer, find name and the amount of name , and group by attribute name, and visualize them by a bar chart, and rank by the y-axis from low to high.
|
CREATE TABLE Manufacturers (
Code INTEGER,
Name VARCHAR(255),
Headquarter VARCHAR(255),
Founder VARCHAR(255),
Revenue REAL
)
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255),
Price DECIMAL,
Manufacturer INTEGER
)
|
SELECT T2.Name, COUNT(T2.Name) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name ORDER BY COUNT(T2.Name)
|
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If the incoming head coach is Carlos Azenha, what is the date of vacancy?
|
CREATE TABLE table_27133147_3 (date_of_vacancy VARCHAR, incoming_head_coach VARCHAR)
|
SELECT date_of_vacancy FROM table_27133147_3 WHERE incoming_head_coach = "Carlos Azenha"
|
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
What is the total number of Against, when Date is '16/03/1996'?
|
CREATE TABLE table_62615 (
"Opposing Teams" text,
"Against" real,
"Date" text,
"Venue" text,
"Status" text
)
|
SELECT COUNT("Against") FROM table_62615 WHERE "Date" = '16/03/1996'
|
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4386,
6048,
332,
17098,
953,
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2688,
1808,
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96,
667,
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] |
[
3,
23143,
14196,
2847,
17161,
599,
121,
20749,
8512,
21680,
953,
834,
948,
2688,
1808,
549,
17444,
427,
96,
308,
342,
121,
3274,
3,
31,
2938,
31064,
2294,
4314,
31,
1,
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] |
How many airlines are there?
|
CREATE TABLE airlines (
Id VARCHAR
)
|
SELECT COUNT(*) FROM airlines
|
[
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
19184,
41,
27,
26,
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Which record has Katsuomi Inagaki as an opponent?
|
CREATE TABLE table_name_51 (
record VARCHAR,
opponent VARCHAR
)
|
SELECT record FROM table_name_51 WHERE opponent = "katsuomi inagaki"
|
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For those records from the products and each product's manufacturer, draw a bar chart about the distribution of headquarter and the average of revenue , and group by attribute headquarter, and I want to rank y-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
)
|
SELECT Headquarter, AVG(Revenue) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Headquarter ORDER BY AVG(Revenue) DESC
|
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provide me the number of black/haitian patients who were admitted before the year 2124.
|
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 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
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "BLACK/HAITIAN" AND demographic.admityear < "2124"
|
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what is the number of times deggendorfer sc ii is on the list ?
|
CREATE TABLE table_204_1 (
id number,
"season" text,
"north" text,
"south" text,
"east" text,
"west" text
)
|
SELECT COUNT(*) FROM table_204_1 WHERE "east" = 'deggendorfer sc ii'
|
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how many states have never executed anyone ?
|
CREATE TABLE table_203_9 (
id number,
"state" text,
"last execution date" text,
"name" text,
"crime" text,
"method" text
)
|
SELECT COUNT("state") FROM table_203_9 WHERE "last execution date" = 'never used'
|
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I want the condition that has a prolonged bleeding time and a platelet count of decreased or unaffected
|
CREATE TABLE table_name_41 (condition VARCHAR, bleeding_time VARCHAR, platelet_count VARCHAR)
|
SELECT condition FROM table_name_41 WHERE bleeding_time = "prolonged" AND platelet_count = "decreased or unaffected"
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Name the chassis for engine of brm v12
|
CREATE TABLE table_name_49 (
chassis VARCHAR,
engine VARCHAR
)
|
SELECT chassis FROM table_name_49 WHERE engine = "brm v12"
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How many games did the team who scored 60 goals win?
|
CREATE TABLE table_17358515_1 (won INTEGER, goals_for VARCHAR)
|
SELECT MIN(won) FROM table_17358515_1 WHERE goals_for = 60
|
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Was the University of Michigan Signed?
|
CREATE TABLE table_68515 (
"Round" real,
"Name" text,
"Position" text,
"School" text,
"Signed" text
)
|
SELECT "Signed" FROM table_68515 WHERE "School" = 'university of michigan'
|
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What was the average round for john markham draft pick?
|
CREATE TABLE table_name_36 (
round INTEGER,
player VARCHAR
)
|
SELECT AVG(round) FROM table_name_36 WHERE player = "john markham"
|
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What is the Name of the Center?
|
CREATE TABLE table_name_84 (name VARCHAR, position VARCHAR)
|
SELECT name FROM table_name_84 WHERE position = "center"
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give me the number of patients whose admission type is newborn and drug route is both eyes?
|
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 demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_type = "NEWBORN" AND prescriptions.route = "BOTH EYES"
|
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what is the average cost in a hospital involving a laboratory test for gentamicin - random?
|
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
|
SELECT AVG(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.patientunitstayid IN (SELECT lab.patientunitstayid FROM lab WHERE lab.labname = 'gentamicin - random')) GROUP BY cost.patienthealthsystemstayid) AS t1
|
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What was Bill Glasson's score to par after 2 rounds?
|
CREATE TABLE table_name_76 (
to_par VARCHAR,
player VARCHAR
)
|
SELECT to_par FROM table_name_76 WHERE player = "bill glasson"
|
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What is the N117/2400 IEC3 associated with an N100IEC3 of 25?
|
CREATE TABLE table_14977 (
"Parameter" text,
"N80 IEC1" text,
"N90 IEC1" text,
"N90 IEC2" text,
"N100 IEC 2" text,
"N100 IEC3" text,
"N117/2400 IEC3" text
)
|
SELECT "N117/2400 IEC3" FROM table_14977 WHERE "N100 IEC3" = '25'
|
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What was the highest Tie no when the home team was the Bolton Wanderers, and the date was Middlesbrough?
|
CREATE TABLE table_name_45 (
tie_no INTEGER,
home_team VARCHAR,
date VARCHAR
)
|
SELECT MAX(tie_no) FROM table_name_45 WHERE home_team = "bolton wanderers" AND date = "middlesbrough"
|
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Where was the competition on August 15, 2012?
|
CREATE TABLE table_name_60 (
venue VARCHAR,
date VARCHAR
)
|
SELECT venue FROM table_name_60 WHERE date = "august 15, 2012"
|
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How man executions in effigie took place at the Lamego tribunal?
|
CREATE TABLE table_51151 (
"Tribunal" text,
"Number of autos da f\u00e9 with known sentences" text,
"Executions in persona" text,
"Executions in effigie" text,
"Penanced" text,
"Total" text
)
|
SELECT "Executions in effigie" FROM table_51151 WHERE "Tribunal" = 'lamego'
|
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count the number of patients whose admission year is less than 2156 and procedure long title is laryngoscopy and other tracheoscopy?
|
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 COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admityear < "2156" AND procedures.long_title = "Laryngoscopy and other tracheoscopy"
|
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[
3,
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14196,
2847,
17161,
599,
15438,
25424,
6227,
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5,
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11827,
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] |
How many times was Plan B 4th place?
|
CREATE TABLE table_72846 (
"Poll Year" text,
"Winner" text,
"Second" text,
"Third" text,
"Fourth" text,
"Fifth" text,
"Sixth" text,
"Seventh" text,
"Eighth" text,
"Ninth" text,
"Tenth" text
)
|
SELECT COUNT("Winner") FROM table_72846 WHERE "Fourth" = 'Plan B'
|
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what's the new south wales with crop (kilotonnes) being canola
|
CREATE TABLE table_1057262_2 (new_south_wales VARCHAR, crop__kilotonnes_ VARCHAR)
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SELECT new_south_wales FROM table_1057262_2 WHERE crop__kilotonnes_ = "Canola"
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What Variant has a Launch site that is white sands?
|
CREATE TABLE table_name_68 (variant VARCHAR, launch_site VARCHAR)
|
SELECT variant FROM table_name_68 WHERE launch_site = "white sands"
|
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What position is Jessie Clark?
|
CREATE TABLE table_14655757_1 (position VARCHAR, player VARCHAR)
|
SELECT position FROM table_14655757_1 WHERE player = "Jessie Clark"
|
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Which venue has more than 9 against and a status of second test?
|
CREATE TABLE table_name_90 (
venue VARCHAR,
against VARCHAR,
status VARCHAR
)
|
SELECT venue FROM table_name_90 WHERE against > 9 AND status = "second test"
|
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In which colleges is the NFL Team New York Giants and with the position defensive back?
|
CREATE TABLE table_2508633_11 (
college VARCHAR,
nfl_team VARCHAR,
position VARCHAR
)
|
SELECT college FROM table_2508633_11 WHERE nfl_team = "New York Giants" AND position = "Defensive back"
|
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what is diagnoses short title and diagnoses long title of diagnoses icd9 code 42731?
|
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 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 procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT diagnoses.short_title, diagnoses.long_title FROM diagnoses WHERE diagnoses.icd9_code = "42731"
|
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What is the average React, when Mark is less than 7.93?
|
CREATE TABLE table_name_53 (react INTEGER, mark INTEGER)
|
SELECT AVG(react) FROM table_name_53 WHERE mark < 7.93
|
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When bmw activee is the vehicle type how many clean electric grid california (san francisco) measurements are there?
|
CREATE TABLE table_24620684_2 (
clean_electric_grid_california__san_francisco_ VARCHAR,
vehicle VARCHAR
)
|
SELECT COUNT(clean_electric_grid_california__san_francisco_) FROM table_24620684_2 WHERE vehicle = "BMW ActiveE"
|
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] |
What are the names of different tracks, and how many races has each had Plot them as bar chart, display by the bar from high to low please.
|
CREATE TABLE track (
Track_ID int,
Name text,
Location text,
Seating real,
Year_Opened real
)
CREATE TABLE race (
Race_ID int,
Name text,
Class text,
Date text,
Track_ID text
)
|
SELECT T2.Name, COUNT(*) FROM race AS T1 JOIN track AS T2 ON T1.Track_ID = T2.Track_ID GROUP BY T1.Track_ID ORDER BY T2.Name DESC
|
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332,
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382,
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382,
16729,
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6880,
272,
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382,
16729,
834,
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] |
List all channel names ordered by their rating in percent from big to small.
|
CREATE TABLE channel (
name VARCHAR,
rating_in_percent VARCHAR
)
|
SELECT name FROM channel ORDER BY rating_in_percent DESC
|
[
32100,
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32102,
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How many stamps have a face value of 37 and were printed in the banknote corporation of america?
|
CREATE TABLE table_15635768_1 (
no_stamps_in_sheet VARCHAR,
face_value VARCHAR,
printer VARCHAR
)
|
SELECT COUNT(no_stamps_in_sheet) FROM table_15635768_1 WHERE face_value = "37¢" AND printer = "Banknote Corporation of America"
|
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how many patients whose diagnoses long title is other second degree atrioventricular block and drug route is oral?
|
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 procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.long_title = "Other second degree atrioventricular block" AND prescriptions.route = "ORAL"
|
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What is the year that has a character named Wu Ji Wei (無極威)?
|
CREATE TABLE table_name_27 (year INTEGER, character VARCHAR)
|
SELECT AVG(year) FROM table_name_27 WHERE character = "wu ji wei (無極威)"
|
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What was the Score on March 1?
|
CREATE TABLE table_name_18 (score VARCHAR, date VARCHAR)
|
SELECT score FROM table_name_18 WHERE date = "march 1"
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Find the name and budget of departments whose budgets are more than the average budget Visualize by bar chart, display from high to low by the Y.
|
CREATE TABLE department (
dept_name varchar(20),
building varchar(15),
budget numeric(12,2)
)
CREATE TABLE course (
course_id varchar(8),
title varchar(50),
dept_name varchar(20),
credits numeric(2,0)
)
CREATE TABLE section (
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0),
building varchar(15),
room_number varchar(7),
time_slot_id varchar(4)
)
CREATE TABLE classroom (
building varchar(15),
room_number varchar(7),
capacity numeric(4,0)
)
CREATE TABLE prereq (
course_id varchar(8),
prereq_id varchar(8)
)
CREATE TABLE instructor (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
salary numeric(8,2)
)
CREATE TABLE student (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
tot_cred numeric(3,0)
)
CREATE TABLE advisor (
s_ID varchar(5),
i_ID varchar(5)
)
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 takes (
ID varchar(5),
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0),
grade varchar(2)
)
CREATE TABLE teaches (
ID varchar(5),
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0)
)
|
SELECT dept_name, budget FROM department WHERE budget > (SELECT AVG(budget) FROM department) ORDER BY budget DESC
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Find the first and last name of all the students of age 18 who have vice president votes.
|
CREATE TABLE voting_record (
stuid number,
registration_date text,
election_cycle text,
president_vote number,
vice_president_vote number,
secretary_vote number,
treasurer_vote number,
class_president_vote number,
class_senator_vote number
)
CREATE TABLE student (
stuid number,
lname text,
fname text,
age number,
sex text,
major number,
advisor number,
city_code text
)
|
SELECT DISTINCT T1.fname, T1.lname FROM student AS T1 JOIN voting_record AS T2 ON T1.stuid = T2.vice_president_vote WHERE T1.age = 18
|
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what station is on top of the list ?
|
CREATE TABLE table_203_749 (
id number,
"call sign" text,
"frequency" text,
"city of license" text,
"licensee" text,
"format" text
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SELECT "call sign" FROM table_203_749 WHERE id = 1
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Name the number of details for emlyn road
|
CREATE TABLE table_24186 (
"Station" text,
"Line" text,
"Planned" real,
"Cancelled" real,
"Proposal" text,
"Details" text
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SELECT COUNT("Details") FROM table_24186 WHERE "Station" = 'Emlyn Road'
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What is the census ranking for the Perth parish?
|
CREATE TABLE table_176524_2 (
census_ranking VARCHAR,
official_name VARCHAR
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|
SELECT census_ranking FROM table_176524_2 WHERE official_name = "Perth"
|
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What is the pinyin for explaining beasts?
|
CREATE TABLE table_17514 (
"Chapter" real,
"Chinese" text,
"Pinyin" text,
"Translation" text,
"Subject" text
)
|
SELECT "Pinyin" FROM table_17514 WHERE "Translation" = 'Explaining Beasts'
|
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What's the exponent field that has 255 exp and value of +∞?
|
CREATE TABLE table_name_93 (exponent_field VARCHAR, exp__biased_ VARCHAR, value VARCHAR)
|
SELECT exponent_field FROM table_name_93 WHERE exp__biased_ = "255" AND value = "+∞"
|
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For those records from the products and each product's manufacturer, return a bar chart about the distribution of name and code , and group by attribute headquarter, and rank X-axis from high to low order.
|
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255),
Price DECIMAL,
Manufacturer INTEGER
)
CREATE TABLE Manufacturers (
Code INTEGER,
Name VARCHAR(255),
Headquarter VARCHAR(255),
Founder VARCHAR(255),
Revenue REAL
)
|
SELECT T1.Name, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Headquarter, T1.Name ORDER BY T1.Name DESC
|
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What is the theme song for Magarikado no Kanojo?
|
CREATE TABLE table_73019 (
"Japanese Title" text,
"Romaji Title" text,
"TV Station" text,
"Time Frame" text,
"Starring Actors" text,
"Theme Song(s)" text,
"Episodes" real,
"Average Ratings" text
)
|
SELECT "Theme Song(s)" FROM table_73019 WHERE "Romaji Title" = 'Magarikado no Kanojo'
|
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Show me how many type by type in a histogram
|
CREATE TABLE ship (
Ship_ID int,
Name text,
Type text,
Nationality text,
Tonnage int
)
CREATE TABLE mission (
Mission_ID int,
Ship_ID int,
Code text,
Launched_Year int,
Location text,
Speed_knots int,
Fate text
)
|
SELECT Type, COUNT(Type) FROM ship GROUP BY Type
|
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Who won the gold when Jules van Dyk Belgium won bronze?
|
CREATE TABLE table_34771 (
"Event" text,
"Gold" text,
"Silver" text,
"Bronze" text,
"4th place" text
)
|
SELECT "Gold" FROM table_34771 WHERE "Bronze" = 'jules van dyk belgium'
|
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What country is ranked larger than 4?
|
CREATE TABLE table_79429 (
"Rank" real,
"Rowers" text,
"Country" text,
"Time" text,
"Notes" text
)
|
SELECT "Country" FROM table_79429 WHERE "Rank" > '4'
|
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What is on at 9:30 on the same channel as Fin du Monde at 10:00?
|
CREATE TABLE table_37308 (
"7:00" text,
"7:30" text,
"8:00" text,
"8:30" text,
"9:00" text,
"9:30" text,
"10:00" text,
"10:30" text
)
|
SELECT "9:30" FROM table_37308 WHERE "10:00" = 'fin du monde'
|
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what is the result for the world group, semifinals after the year 1997?
|
CREATE TABLE table_52583 (
"Year" real,
"Competition" text,
"Date" text,
"Location" text,
"Score" text,
"Result" text
)
|
SELECT "Result" FROM table_52583 WHERE "Year" > '1997' AND "Competition" = 'world group, semifinals'
|
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What are the results of Format single on March 21?
|
CREATE TABLE table_name_34 (result_s_ VARCHAR, format_s_ VARCHAR, date VARCHAR)
|
SELECT result_s_ FROM table_name_34 WHERE format_s_ = "single" AND date = "march 21"
|
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What is the total number of sunk by U-boats with less than 2 German submarines lost, 56328 sunk by aircrafts, and more than 8269 sunk by mines?
|
CREATE TABLE table_name_4 (sunk_by_u_boat VARCHAR, sunk_by_mines VARCHAR, german_submarines_lost VARCHAR, sunk_by_aircraft VARCHAR)
|
SELECT COUNT(sunk_by_u_boat) FROM table_name_4 WHERE german_submarines_lost < 2 AND sunk_by_aircraft = 56328 AND sunk_by_mines > 8269
|
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When were the Avenging Angels founded?
|
CREATE TABLE table_255188_1 (founded INTEGER, nickname VARCHAR)
|
SELECT MAX(founded) FROM table_255188_1 WHERE nickname = "Avenging Angels"
|
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] |
How many students are in each department Plot them as bar chart, rank x-axis in desc order.
|
CREATE TABLE advisor (
s_ID varchar(5),
i_ID varchar(5)
)
CREATE TABLE department (
dept_name varchar(20),
building varchar(15),
budget numeric(12,2)
)
CREATE TABLE section (
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0),
building varchar(15),
room_number varchar(7),
time_slot_id varchar(4)
)
CREATE TABLE takes (
ID varchar(5),
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0),
grade varchar(2)
)
CREATE TABLE prereq (
course_id varchar(8),
prereq_id varchar(8)
)
CREATE TABLE course (
course_id varchar(8),
title varchar(50),
dept_name varchar(20),
credits numeric(2,0)
)
CREATE TABLE instructor (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
salary numeric(8,2)
)
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 classroom (
building varchar(15),
room_number varchar(7),
capacity numeric(4,0)
)
CREATE TABLE teaches (
ID varchar(5),
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0)
)
|
SELECT dept_name, COUNT(*) FROM student GROUP BY dept_name ORDER BY dept_name DESC
|
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how many lasted at least 6 minutes ?
|
CREATE TABLE table_203_277 (
id number,
"entered" number,
"wrestler" text,
"place" text,
"eliminated by" text,
"time" text
)
|
SELECT COUNT(*) FROM table_203_277 WHERE "time" >= 6
|
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