NATURAL_LANG
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|---|---|---|---|---|---|
Who choreographed the smooth waltz with lacey schwimmer?
|
CREATE TABLE table_name_94 (choreographer_s_ VARCHAR, style VARCHAR, partner VARCHAR)
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SELECT choreographer_s_ FROM table_name_94 WHERE style = "smooth waltz" AND partner = "lacey schwimmer"
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What's the record of game 67?
|
CREATE TABLE table_49348 (
"Game" real,
"March" real,
"Opponent" text,
"Score" text,
"Record" text
)
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SELECT "Record" FROM table_49348 WHERE "Game" = '67'
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Name the tournament for clay surface and outcome is winner with score is 6–3, 6–2
|
CREATE TABLE table_name_99 (tournament VARCHAR, score VARCHAR, surface VARCHAR, outcome VARCHAR)
|
SELECT tournament FROM table_name_99 WHERE surface = "clay" AND outcome = "winner" AND score = "6–3, 6–2"
|
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What is the sum of byes for losses larger than 14 for a Portland DFL of westerns?
|
CREATE TABLE table_59316 (
"Portland DFL" text,
"Wins" real,
"Byes" real,
"Losses" real,
"Draws" real,
"Against" real
)
|
SELECT SUM("Byes") FROM table_59316 WHERE "Portland DFL" = 'westerns' AND "Losses" > '14'
|
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give me the number of patients whose drug name is propofol?
|
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE 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
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.drug = "Propofol"
|
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How many PATAs does an nForce Professional 3400 MCP have?
|
CREATE TABLE table_38739 (
"Model" text,
"Processors Supported" text,
"FSB/HT Frequency (MHz)" text,
"Memory" text,
"PCI-Express" text,
"SATA" real,
"PATA" real,
"Sound" text,
"Network" text,
"Features" text
)
|
SELECT SUM("PATA") FROM table_38739 WHERE "Model" = 'nforce professional 3400 mcp'
|
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How long is the bridge in Villeneuve-sur-Lot?
|
CREATE TABLE table_name_40 (
longest_span_in_s_metre___feet__ VARCHAR,
location VARCHAR
)
|
SELECT longest_span_in_s_metre___feet__ FROM table_name_40 WHERE location = "villeneuve-sur-lot"
|
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adult subjects ages 18 _ 35
|
CREATE TABLE table_train_272 (
"id" int,
"fasting_plasma_glucose_fpg" float,
"creatinine_clearance_cl" float,
"baseline_hemoglobin_hgb" float,
"sensitization_on_pra" bool,
"age" float,
"NOUSE" float
)
|
SELECT * FROM table_train_272 WHERE age >= 18 AND age <= 35
|
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What is the most common competition type?
|
CREATE TABLE player (
player_id number,
name text,
position text,
club_id number,
apps number,
tries number,
goals text,
points number
)
CREATE TABLE competition_result (
competition_id number,
club_id_1 number,
club_id_2 number,
score text
)
CREATE TABLE competition (
competition_id number,
year number,
competition_type text,
country text
)
CREATE TABLE club (
club_id number,
name text,
region text,
start_year text
)
CREATE TABLE club_rank (
rank number,
club_id number,
gold number,
silver number,
bronze number,
total number
)
|
SELECT competition_type FROM competition GROUP BY competition_type ORDER BY COUNT(*) DESC LIMIT 1
|
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What is the zip code of the address in the city Port Chelsea?
|
CREATE TABLE Addresses (zip_postcode VARCHAR, city VARCHAR)
|
SELECT zip_postcode FROM Addresses WHERE city = 'Port Chelsea'
|
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Which Object type has a Constellation of cancer?
|
CREATE TABLE table_52287 (
"NGC number" real,
"Object type" text,
"Constellation" text,
"Right ascension ( J2000 )" text,
"Declination ( J2000 )" text
)
|
SELECT "Object type" FROM table_52287 WHERE "Constellation" = 'cancer'
|
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What date were there more than 16,000 people in the crowd and Carlton was the home team?
|
CREATE TABLE table_11118 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
)
|
SELECT "Date" FROM table_11118 WHERE "Crowd" > '16,000' AND "Home team" = 'carlton'
|
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How many people watch an away team score 6.9 (45)?
|
CREATE TABLE table_4898 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
)
|
SELECT AVG("Crowd") FROM table_4898 WHERE "Away team score" = '6.9 (45)'
|
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On which day were the subtotal hours 9:30?
|
CREATE TABLE table_35535 (
"Date" text,
"ID code of his Zero Fighter" text,
"Flight hours" text,
"Count" text,
"Sub-total" text
)
|
SELECT "Date" FROM table_35535 WHERE "Sub-total" = '9:30'
|
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What is total orders for goals of 239?
|
CREATE TABLE table_name_77 (order VARCHAR, goals VARCHAR)
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SELECT COUNT(order) FROM table_name_77 WHERE goals = 239
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what is the grid when the driver is pierre levegh?
|
CREATE TABLE table_name_11 (
grid VARCHAR,
driver VARCHAR
)
|
SELECT grid FROM table_name_11 WHERE driver = "pierre levegh"
|
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how many patients whose gender is m and drug code is clop75?
|
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 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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.gender = "M" AND prescriptions.formulary_drug_cd = "CLOP75"
|
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What chng has a rank greater than 6, with 12 as a prev?
|
CREATE TABLE table_name_55 (chng VARCHAR, rank VARCHAR, prev VARCHAR)
|
SELECT chng FROM table_name_55 WHERE rank > 6 AND prev = 12
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Find the organisation ids and details of the organisations which are involved in
|
CREATE TABLE grants (
grant_id number,
organisation_id number,
grant_amount number,
grant_start_date time,
grant_end_date time,
other_details text
)
CREATE TABLE project_staff (
staff_id number,
project_id number,
role_code text,
date_from time,
date_to time,
other_details text
)
CREATE TABLE staff_roles (
role_code text,
role_description text
)
CREATE TABLE documents (
document_id number,
document_type_code text,
grant_id number,
sent_date time,
response_received_date time,
other_details text
)
CREATE TABLE project_outcomes (
project_id number,
outcome_code text,
outcome_details text
)
CREATE TABLE document_types (
document_type_code text,
document_description text
)
CREATE TABLE projects (
project_id number,
organisation_id number,
project_details text
)
CREATE TABLE tasks (
task_id number,
project_id number,
task_details text,
eg agree objectives text
)
CREATE TABLE organisation_types (
organisation_type text,
organisation_type_description text
)
CREATE TABLE research_outcomes (
outcome_code text,
outcome_description text
)
CREATE TABLE research_staff (
staff_id number,
employer_organisation_id number,
staff_details text
)
CREATE TABLE organisations (
organisation_id number,
organisation_type text,
organisation_details text
)
|
SELECT T2.organisation_id, T2.organisation_details FROM grants AS T1 JOIN organisations AS T2 ON T1.organisation_id = T2.organisation_id GROUP BY T2.organisation_id HAVING SUM(T1.grant_amount) > 6000
|
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What is American, when Initial-Syllable Open/Semi-Open Unstressed Vowels is 'y /a , /'?
|
CREATE TABLE table_name_7 (
american VARCHAR,
initial_syllable_open_semi_open_unstressed_vowels VARCHAR
)
|
SELECT american FROM table_name_7 WHERE initial_syllable_open_semi_open_unstressed_vowels = "y /aɪ, ɨ/"
|
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Find the personal name, family name, and author ID of the course author that teaches the most courses.
|
CREATE TABLE Course_Authors_and_Tutors (
personal_name VARCHAR,
family_name VARCHAR,
author_id VARCHAR
)
CREATE TABLE Courses (
author_id VARCHAR
)
|
SELECT T1.personal_name, T1.family_name, T2.author_id FROM Course_Authors_and_Tutors AS T1 JOIN Courses AS T2 ON T1.author_id = T2.author_id GROUP BY T2.author_id ORDER BY COUNT(*) DESC LIMIT 1
|
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What is the common english word with the abbr of ai?
|
CREATE TABLE table_name_81 (
common_english VARCHAR,
abbr VARCHAR
)
|
SELECT common_english FROM table_name_81 WHERE abbr = "ai"
|
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NELL papers
|
CREATE TABLE paperdataset (
paperid int,
datasetid int
)
CREATE TABLE field (
fieldid int
)
CREATE TABLE paperkeyphrase (
paperid int,
keyphraseid int
)
CREATE TABLE dataset (
datasetid int,
datasetname varchar
)
CREATE TABLE paperfield (
fieldid int,
paperid int
)
CREATE TABLE keyphrase (
keyphraseid int,
keyphrasename varchar
)
CREATE TABLE writes (
paperid int,
authorid int
)
CREATE TABLE journal (
journalid int,
journalname varchar
)
CREATE TABLE venue (
venueid int,
venuename varchar
)
CREATE TABLE author (
authorid int,
authorname varchar
)
CREATE TABLE paper (
paperid int,
title varchar,
venueid int,
year int,
numciting int,
numcitedby int,
journalid int
)
CREATE TABLE cite (
citingpaperid int,
citedpaperid int
)
|
SELECT DISTINCT paper.paperid FROM dataset, paper, paperdataset WHERE dataset.datasetname = 'NELL' AND paperdataset.datasetid = dataset.datasetid AND paper.paperid = paperdataset.paperid
|
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Draw a pie chart about the proportion of ACC_Regular_Season and All_Games_Percent.
|
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 ACC_Regular_Season, All_Games_Percent FROM basketball_match
|
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What is the average Loss, when Avg/g is 0, and when Long is less than 0?
|
CREATE TABLE table_76632 (
"Name" text,
"Gain" real,
"Loss" real,
"Long" real,
"Avg/g" real
)
|
SELECT AVG("Loss") FROM table_76632 WHERE "Avg/g" = '0' AND "Long" < '0'
|
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Bar chart x axis open date y axis how many open date
|
CREATE TABLE church (
Church_ID int,
Name text,
Organized_by text,
Open_Date int,
Continuation_of text
)
CREATE TABLE people (
People_ID int,
Name text,
Country text,
Is_Male text,
Age int
)
CREATE TABLE wedding (
Church_ID int,
Male_ID int,
Female_ID int,
Year int
)
|
SELECT Open_Date, COUNT(Open_Date) FROM church
|
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how many patients whose primary disease is pituitary bleed and days of hospital stay is greater than 4?
|
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 WHERE demographic.diagnosis = "PITUITARY BLEED" AND demographic.days_stay > "4"
|
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how long was the film schooled out before beginning blue ?
|
CREATE TABLE table_204_323 (
id number,
"year" number,
"film" text,
"function" text,
"notes" text
)
|
SELECT (SELECT "year" FROM table_204_323 WHERE "film" = 'beginning blue') - (SELECT "year" FROM table_204_323 WHERE "film" = 'schooled')
|
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What is Celta's Agg.?
|
CREATE TABLE table_name_81 (
agg VARCHAR,
team_1 VARCHAR
)
|
SELECT agg FROM table_name_81 WHERE team_1 = "celta"
|
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How many appearances by Meek Mill?
|
CREATE TABLE table_29160596_1 (
appearances INTEGER,
top_mc VARCHAR
)
|
SELECT MAX(appearances) FROM table_29160596_1 WHERE top_mc = "Meek Mill"
|
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Which Attendance has an Opponent of new york giants, and a Week smaller than 5?
|
CREATE TABLE table_name_88 (
attendance INTEGER,
opponent VARCHAR,
week VARCHAR
)
|
SELECT AVG(attendance) FROM table_name_88 WHERE opponent = "new york giants" AND week < 5
|
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] |
What is the sum for the week with the date october 30, 1994?
|
CREATE TABLE table_name_55 (week INTEGER, date VARCHAR)
|
SELECT SUM(week) FROM table_name_55 WHERE date = "october 30, 1994"
|
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What is the casting temperature for the alloy with hardness 21?
|
CREATE TABLE table_name_98 (
casting_at__°c_ VARCHAR,
hardness VARCHAR
)
|
SELECT casting_at__°c_ FROM table_name_98 WHERE hardness = "21"
|
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] |
What is the highest power (hp) of an OM314 engine?
|
CREATE TABLE table_name_5 (
power__hp_ INTEGER,
engine VARCHAR
)
|
SELECT MAX(power__hp_) FROM table_name_5 WHERE engine = "om314"
|
[
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Which motor's quantity was more than 8, and a class of bs 1915?
|
CREATE TABLE table_name_57 (
motor VARCHAR,
quantity VARCHAR,
class VARCHAR
)
|
SELECT motor FROM table_name_57 WHERE quantity > 8 AND class = "bs 1915"
|
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How many wheels does the train owned by Texas and New Orleans Railroad #319 have?
|
CREATE TABLE table_1057316_1 (
wheel_arrangement___whyte_notation__ VARCHAR,
operational_owner_s_ VARCHAR
)
|
SELECT COUNT(wheel_arrangement___whyte_notation__) FROM table_1057316_1 WHERE operational_owner_s_ = "Texas and New Orleans Railroad #319"
|
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Find the first and last name of students whose age is younger than the average age.
|
CREATE TABLE student (fname VARCHAR, lname VARCHAR, age INTEGER)
|
SELECT fname, lname FROM student WHERE age < (SELECT AVG(age) FROM student)
|
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What was the attendance when the away team was Real Espana?
|
CREATE TABLE table_9229 (
"Date" text,
"Home" text,
"Score" text,
"Away" text,
"Attendance" real
)
|
SELECT MIN("Attendance") FROM table_9229 WHERE "Away" = 'real espana'
|
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What is the position of the player from the denver broncos?
|
CREATE TABLE table_name_28 (position VARCHAR, team VARCHAR)
|
SELECT position FROM table_name_28 WHERE team = "denver broncos"
|
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have a serum creatinine greater than or equal to 1.5 milligrams / deciliter ( mg / dl ) ( male ) or greater than or equal to 1.4 mg / dl ( female ) , or a creatinine clearance less than 60 milliliters / minute ( ml / minute )
|
CREATE TABLE table_dev_38 (
"id" int,
"gender" string,
"serum_potassium" float,
"systolic_blood_pressure_sbp" int,
"creatinine_clearance_cl" float,
"estimated_glomerular_filtration_rate_egfr" int,
"diastolic_blood_pressure_dbp" int,
"ace_inhibitors" bool,
"serum_creatinine" float,
"kidney_disease" bool,
"NOUSE" float
)
|
SELECT * FROM table_dev_38 WHERE (serum_creatinine >= 1.5 AND gender = 'male') OR (serum_creatinine >= 1.4 AND gender = 'female') OR creatinine_clearance_cl < 60
|
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Who was the game on July 12 played against?
|
CREATE TABLE table_19789597_6 (
opponent VARCHAR,
date VARCHAR
)
|
SELECT opponent FROM table_19789597_6 WHERE date = "July 12"
|
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what is the result when the date is august 24, 1997?
|
CREATE TABLE table_name_52 (result VARCHAR, date VARCHAR)
|
SELECT result FROM table_name_52 WHERE date = "august 24, 1997"
|
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Who was his partner when he played on carpet?
|
CREATE TABLE table_32528 (
"Date" text,
"Tournament" text,
"Surface" text,
"Partner" text,
"Opponents in the final" text,
"Score" text
)
|
SELECT "Partner" FROM table_32528 WHERE "Surface" = 'carpet'
|
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Which location did the Tigers have?
|
CREATE TABLE table_name_90 (
location VARCHAR,
nickname VARCHAR
)
|
SELECT location FROM table_name_90 WHERE nickname = "tigers"
|
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How much Rossendale has a Fylde smaller than 0?
|
CREATE TABLE table_name_95 (
rossendale VARCHAR,
fylde INTEGER
)
|
SELECT COUNT(rossendale) FROM table_name_95 WHERE fylde < 0
|
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Who is the opponent for the game that occurred after week 13?
|
CREATE TABLE table_38171 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"Attendance" real
)
|
SELECT "Opponent" FROM table_38171 WHERE "Week" > '13'
|
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What is every entry for intermediate stops for the destination of Manchester?
|
CREATE TABLE table_3005999_1 (intermediate_stops VARCHAR, destination VARCHAR)
|
SELECT intermediate_stops FROM table_3005999_1 WHERE destination = "Manchester"
|
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what was the total attendance of weeks 1 and 2 ?
|
CREATE TABLE table_203_672 (
id number,
"week" number,
"date" text,
"opponent" text,
"result" text,
"venue" text,
"attendance" number
)
|
SELECT SUM("attendance") FROM table_203_672 WHERE "week" = 1 OR "week" = 2
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What was the date of the game where the record was 4-4?
|
CREATE TABLE table_name_56 (
date VARCHAR,
record VARCHAR
)
|
SELECT date FROM table_name_56 WHERE record = "4-4"
|
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What June 10-11 is is that corresponds to March 28, 1968?
|
CREATE TABLE table_25284864_3 (june_10_11 VARCHAR, march_27_29 VARCHAR)
|
SELECT june_10_11 FROM table_25284864_3 WHERE march_27_29 = "March 28, 1968"
|
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In 1948-10-28, what were the lowest Goals in Tehran, Iran?
|
CREATE TABLE table_52151 (
"Date" text,
"Venue" text,
"Result" text,
"Competition" text,
"Goals" real
)
|
SELECT MIN("Goals") FROM table_52151 WHERE "Venue" = 'tehran, iran' AND "Date" = '1948-10-28'
|
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count the number of patients less than 49 years who stayed in the hospital for more than 3 days.
|
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 diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE 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.age < "49" AND demographic.days_stay > "3"
|
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What is the score of the match with partner Jim Pugh?
|
CREATE TABLE table_16029 (
"Outcome" text,
"Year" real,
"Championship" text,
"Surface" text,
"Partner" text,
"Opponents" text,
"Score" text
)
|
SELECT "Score" FROM table_16029 WHERE "Partner" = 'Jim Pugh'
|
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What is the detail of the location UK Gallery?
|
CREATE TABLE visitors (
tourist_id number,
tourist_details text
)
CREATE TABLE tourist_attractions (
tourist_attraction_id number,
attraction_type_code text,
location_id number,
how_to_get_there text,
name text,
description text,
opening_hours text,
other_details text
)
CREATE TABLE street_markets (
market_id number,
market_details text
)
CREATE TABLE theme_parks (
theme_park_id number,
theme_park_details text
)
CREATE TABLE royal_family (
royal_family_id number,
royal_family_details text
)
CREATE TABLE ref_attraction_types (
attraction_type_code text,
attraction_type_description text
)
CREATE TABLE visits (
visit_id number,
tourist_attraction_id number,
tourist_id number,
visit_date time,
visit_details text
)
CREATE TABLE ref_hotel_star_ratings (
star_rating_code text,
star_rating_description text
)
CREATE TABLE photos (
photo_id number,
tourist_attraction_id number,
name text,
description text,
filename text,
other_details text
)
CREATE TABLE locations (
location_id number,
location_name text,
address text,
other_details text
)
CREATE TABLE tourist_attraction_features (
tourist_attraction_id number,
feature_id number
)
CREATE TABLE museums (
museum_id number,
museum_details text
)
CREATE TABLE features (
feature_id number,
feature_details text
)
CREATE TABLE shops (
shop_id number,
shop_details text
)
CREATE TABLE staff (
staff_id number,
tourist_attraction_id number,
name text,
other_details text
)
CREATE TABLE hotels (
hotel_id number,
star_rating_code text,
pets_allowed_yn text,
price_range number,
other_hotel_details text
)
|
SELECT other_details FROM locations WHERE location_name = "UK Gallery"
|
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What is the highest car number sponsored by Post-It / National Guard?
|
CREATE TABLE table_name_40 (
car__number INTEGER,
sponsor VARCHAR
)
|
SELECT MAX(car__number) FROM table_name_40 WHERE sponsor = "post-it / national guard"
|
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What was the 2007 result for a 2008 result of 1R and 2009 result of 2R?
|
CREATE TABLE table_name_47 (Id VARCHAR)
|
SELECT 2007 FROM table_name_47 WHERE 2009 = "2r" AND 2008 = "1r"
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What is the production code for episode 6 in the season?
|
CREATE TABLE table_1876825_3 (
production_code VARCHAR,
no_in_season VARCHAR
)
|
SELECT production_code FROM table_1876825_3 WHERE no_in_season = 6
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Which team was played against on the game where Earl Watson (6) had the highest assists on January 19?
|
CREATE TABLE table_58003 (
"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_58003 WHERE "High assists" = 'earl watson (6)' AND "Date" = 'january 19'
|
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What is the total overall in round 1, in which Charles White was a player?
|
CREATE TABLE table_32200 (
"Round" real,
"Overall" real,
"Player" text,
"Position" text,
"School/Club Team" text
)
|
SELECT SUM("Overall") FROM table_32200 WHERE "Player" = 'charles white' AND "Round" < '1'
|
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How many times did Alyn McCauley get picked?
|
CREATE TABLE table_2886617_4 (pick VARCHAR, player VARCHAR)
|
SELECT COUNT(pick) FROM table_2886617_4 WHERE player = "Alyn McCauley"
|
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What was the game number on march 27?
|
CREATE TABLE table_29772 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location Attendance" text,
"Record" text
)
|
SELECT MIN("Game") FROM table_29772 WHERE "Date" = 'March 27'
|
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What is the name of the project that has a scientist assigned to it whose name contains 'Smith', and count them by a bar chart, and show by the how many name in descending please.
|
CREATE TABLE AssignedTo (
Scientist int,
Project char(4)
)
CREATE TABLE Projects (
Code Char(4),
Name Char(50),
Hours int
)
CREATE TABLE Scientists (
SSN int,
Name Char(30)
)
|
SELECT T2.Name, COUNT(T2.Name) FROM AssignedTo AS T1 JOIN Projects AS T2 ON T1.Project = T2.Code JOIN Scientists AS T3 ON T1.Scientist = T3.SSN WHERE T3.Name LIKE '%Smith%' GROUP BY T2.Name ORDER BY COUNT(T2.Name) DESC
|
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] |
How many video game types exist?
|
CREATE TABLE plays_games (
stuid number,
gameid number,
hours_played number
)
CREATE TABLE sportsinfo (
stuid number,
sportname text,
hoursperweek number,
gamesplayed number,
onscholarship text
)
CREATE TABLE video_games (
gameid number,
gname text,
gtype text
)
CREATE TABLE student (
stuid number,
lname text,
fname text,
age number,
sex text,
major number,
advisor number,
city_code text
)
|
SELECT COUNT(DISTINCT gtype) FROM video_games
|
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-100
] |
give me the number of patients whose drug type is main and lab test name is ammonia?
|
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
)
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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE prescriptions.drug_type = "MAIN" AND lab.label = "Ammonia"
|
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How many values for points have Sophia Witherspoon as the player?
|
CREATE TABLE table_25352324_5 (
points VARCHAR,
player VARCHAR
)
|
SELECT COUNT(points) FROM table_25352324_5 WHERE player = "Sophia Witherspoon"
|
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From what series is Peck Up Your Troubles?
|
CREATE TABLE table_name_66 (
series VARCHAR,
title VARCHAR
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SELECT series FROM table_name_66 WHERE title = "peck up your troubles"
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What is the website of the cunningham hill infant school?
|
CREATE TABLE table_28523_2 (
school VARCHAR
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SELECT school AS website FROM table_28523_2 WHERE school = "Cunningham Hill Infant school"
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What is the Location of the Mill Built in the Early 19th Century?
|
CREATE TABLE table_63582 (
"Location" text,
"Name of mill" text,
"Type" text,
"Built" text,
"Notes" text
)
|
SELECT "Location" FROM table_63582 WHERE "Built" = 'early 19th century'
|
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What are the subject ID, subject name, and the number of available courses for each subject?
|
CREATE TABLE student_tests_taken (
registration_id number,
date_test_taken time,
test_result text
)
CREATE TABLE student_course_enrolment (
registration_id number,
student_id number,
course_id number,
date_of_enrolment time,
date_of_completion time
)
CREATE TABLE course_authors_and_tutors (
author_id number,
author_tutor_atb text,
login_name text,
password text,
personal_name text,
middle_name text,
family_name text,
gender_mf text,
address_line_1 text
)
CREATE TABLE courses (
course_id number,
author_id number,
subject_id number,
course_name text,
course_description text
)
CREATE TABLE students (
student_id number,
date_of_registration time,
date_of_latest_logon time,
login_name text,
password text,
personal_name text,
middle_name text,
family_name text
)
CREATE TABLE subjects (
subject_id number,
subject_name text
)
|
SELECT T1.subject_id, T2.subject_name, COUNT(*) FROM courses AS T1 JOIN subjects AS T2 ON T1.subject_id = T2.subject_id GROUP BY T1.subject_id
|
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What's the smallest number of bronze medals that any one if the ensembles has?
|
CREATE TABLE table_1305623_6 (
bronze_medals INTEGER
)
|
SELECT MIN(bronze_medals) FROM table_1305623_6
|
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] |
How often does Dengeki girl's style come out?
|
CREATE TABLE table_name_5 (
frequency VARCHAR,
parent_magazine VARCHAR
)
|
SELECT frequency FROM table_name_5 WHERE parent_magazine = "dengeki girl's style"
|
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427,
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] |
Before 2007, what was the avg start that had a pole of 0 and in 65th position?
|
CREATE TABLE table_name_81 (starts INTEGER, year VARCHAR, poles VARCHAR, position VARCHAR)
|
SELECT AVG(starts) FROM table_name_81 WHERE poles = 0 AND position = "65th" AND year < 2007
|
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Tell me the bore and stroke for Engine of 351-2v cleveland v8
|
CREATE TABLE table_4445 (
"Engine" text,
"Horsepower" text,
"Torque" text,
"Carburetor" text,
"Compression Ratio" text,
"Bore & Stroke" text,
"VIN Code" text
)
|
SELECT "Bore & Stroke" FROM table_4445 WHERE "Engine" = '351-2v cleveland v8'
|
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Who was the driver with 29 laps?
|
CREATE TABLE table_name_39 (
driver VARCHAR,
laps VARCHAR
)
|
SELECT driver FROM table_name_39 WHERE laps = "29"
|
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How many Points have a Position larger than 3, and a Played smaller than 14?
|
CREATE TABLE table_name_42 (
points VARCHAR,
position VARCHAR,
played VARCHAR
)
|
SELECT COUNT(points) FROM table_name_42 WHERE position > 3 AND played < 14
|
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Who won in 1965?
|
CREATE TABLE table_name_42 (
winner VARCHAR,
year VARCHAR
)
|
SELECT winner FROM table_name_42 WHERE year = "1965"
|
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What is the percentage of Tukunga when La Crescenta-Montrose is 28%?
|
CREATE TABLE table_74692 (
"Tujunga" text,
"La Crescenta- Montrose" text,
"Glendale" text,
"La Ca\u00f1ada Flintridge" text,
"Pasadena" text
)
|
SELECT "Tujunga" FROM table_74692 WHERE "La Crescenta- Montrose" = '28%'
|
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what is the number of different channel owners?
|
CREATE TABLE channel (
OWNER VARCHAR
)
|
SELECT COUNT(DISTINCT OWNER) FROM channel
|
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How many draws feature artist wendy fierce?
|
CREATE TABLE table_name_18 (
draw INTEGER,
artist VARCHAR
)
|
SELECT SUM(draw) FROM table_name_18 WHERE artist = "wendy fierce"
|
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What is the highest game whose score was 94-116
|
CREATE TABLE table_name_62 (game INTEGER, score VARCHAR)
|
SELECT MAX(game) FROM table_name_62 WHERE score = "94-116"
|
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What is the earliest year that had a Lotus 49B chassis?
|
CREATE TABLE table_name_73 (year INTEGER, chassis VARCHAR)
|
SELECT MIN(year) FROM table_name_73 WHERE chassis = "lotus 49b"
|
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What were the total number of Events, when the Top-5 was less than 2, and when the Top-25 was less than 3?
|
CREATE TABLE table_name_23 (events VARCHAR, top_5 VARCHAR, top_25 VARCHAR)
|
SELECT COUNT(events) FROM table_name_23 WHERE top_5 < 2 AND top_25 < 3
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] |
Give me a bar chart for sum price of each name, and could you order in ascending by the x axis?
|
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 Name, SUM(Price) FROM Products GROUP BY Name ORDER BY Name
|
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] |
What is the December game that led to an 11-13-5 record?
|
CREATE TABLE table_name_9 (december INTEGER, record VARCHAR)
|
SELECT MAX(december) FROM table_name_9 WHERE record = "11-13-5"
|
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Which Entrant had the Bugatti T35B Chassis and the Driver, Heinrich-Joachim Von Morgen?
|
CREATE TABLE table_name_66 (
entrant VARCHAR,
chassis VARCHAR,
driver VARCHAR
)
|
SELECT entrant FROM table_name_66 WHERE chassis = "bugatti t35b" AND driver = "heinrich-joachim von morgen"
|
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what's the na -350- with title and source being paper wars: cannon fodder
|
CREATE TABLE table_13663434_1 (
na__350_ VARCHAR,
title_and_source VARCHAR
)
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SELECT na__350_ FROM table_13663434_1 WHERE title_and_source = "Paper Wars: Cannon Fodder"
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How many first games are associated with 5 games played and under 3 games lost?
|
CREATE TABLE table_name_85 (
first_game INTEGER,
played VARCHAR,
lost VARCHAR
)
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SELECT SUM(first_game) FROM table_name_85 WHERE played = 5 AND lost < 3
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What is the sum of credit value of courses with more than one prerequisite for each title? Return a bar chart, rank in asc by the x-axis.
|
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 instructor (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
salary numeric(8,2)
)
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 teaches (
ID varchar(5),
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0)
)
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 classroom (
building varchar(15),
room_number varchar(7),
capacity numeric(4,0)
)
CREATE TABLE department (
dept_name varchar(20),
building varchar(15),
budget numeric(12,2)
)
CREATE TABLE prereq (
course_id varchar(8),
prereq_id varchar(8)
)
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)
)
|
SELECT title, SUM(credits) FROM course AS T1 JOIN prereq AS T2 ON T1.course_id = T2.course_id GROUP BY title ORDER BY title
|
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What is the total number of Round(s), when Time is "n/a", and when Location is "Canton, Ohio, USA"?
|
CREATE TABLE table_name_75 (round VARCHAR, time VARCHAR, location VARCHAR)
|
SELECT COUNT(round) FROM table_name_75 WHERE time = "n/a" AND location = "canton, ohio, usa"
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what was the lowest number that auburn triumphed where the activities took part was 92
|
CREATE TABLE table_2846320_4 (
au_won INTEGER,
games_played VARCHAR
)
|
SELECT MIN(au_won) FROM table_2846320_4 WHERE games_played = 92
|
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-100,
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] |
Bar chart of total number of height from each sex, and display in descending by the y-axis please.
|
CREATE TABLE people (
People_ID int,
Sex text,
Name text,
Date_of_Birth text,
Height real,
Weight real
)
CREATE TABLE candidate (
Candidate_ID int,
People_ID int,
Poll_Source text,
Date text,
Support_rate real,
Consider_rate real,
Oppose_rate real,
Unsure_rate real
)
|
SELECT Sex, SUM(Height) FROM people GROUP BY Sex ORDER BY SUM(Height) DESC
|
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] |
What nationality has a year larger than 2009 with a position of power forward?
|
CREATE TABLE table_name_32 (nationality VARCHAR, year VARCHAR, position VARCHAR)
|
SELECT nationality FROM table_name_32 WHERE year > 2009 AND position = "power forward"
|
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What is the total number of modern grannies performed?
|
CREATE TABLE table_28180840_15 (
act VARCHAR,
name_name_of_act VARCHAR
)
|
SELECT COUNT(act) FROM table_28180840_15 WHERE name_name_of_act = "Modern Grannies"
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Record of 6–8 had what attendance?
|
CREATE TABLE table_name_33 (attendance VARCHAR, record VARCHAR)
|
SELECT attendance FROM table_name_33 WHERE record = "6–8"
|
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What's the against when the draw was more than 0 and had 13 losses?
|
CREATE TABLE table_name_47 (
against VARCHAR,
losses VARCHAR,
draws VARCHAR
)
|
SELECT COUNT(against) FROM table_name_47 WHERE losses = 13 AND draws > 0
|
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How many times did a center that attended Oral Roberts play for the Rockets?
|
CREATE TABLE table_331 (
"Player" text,
"No.(s)" text,
"Height in Ft." text,
"Position" text,
"Years for Rockets" text,
"School/Club Team/Country" text
)
|
SELECT COUNT("Years for Rockets") FROM table_331 WHERE "Position" = 'Center' AND "School/Club Team/Country" = 'Oral Roberts'
|
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What is the receipt date of the document with id 3?
|
CREATE TABLE circulation_history (
document_id number,
draft_number number,
copy_number number,
employee_id number
)
CREATE TABLE employees (
employee_id number,
role_code text,
employee_name text,
other_details text
)
CREATE TABLE documents_mailed (
document_id number,
mailed_to_address_id number,
mailing_date time
)
CREATE TABLE ref_document_status (
document_status_code text,
document_status_description text
)
CREATE TABLE roles (
role_code text,
role_description text
)
CREATE TABLE document_drafts (
document_id number,
draft_number number,
draft_details text
)
CREATE TABLE ref_document_types (
document_type_code text,
document_type_description text
)
CREATE TABLE draft_copies (
document_id number,
draft_number number,
copy_number number
)
CREATE TABLE ref_shipping_agents (
shipping_agent_code text,
shipping_agent_name text,
shipping_agent_description text
)
CREATE TABLE documents (
document_id number,
document_status_code text,
document_type_code text,
shipping_agent_code text,
receipt_date time,
receipt_number text,
other_details text
)
CREATE TABLE addresses (
address_id number,
address_details text
)
|
SELECT receipt_date FROM documents WHERE document_id = 3
|
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What is the title of the episode directed by Rodney Clouden?
|
CREATE TABLE table_23242958_1 (title VARCHAR, directed_by VARCHAR)
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SELECT title FROM table_23242958_1 WHERE directed_by = "Rodney Clouden"
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What model has a g green rating, has chrysler jeep as a manufacturer, has an l/100km urban (cold) less than 18, and has an mpg-uk combined of 27.7?
|
CREATE TABLE table_65279 (
"Manufacturer" text,
"Model" text,
"Transmission" text,
"Engine Capacity" real,
"Fuel Type" text,
"L/100km Urban (Cold)" real,
"L/100km Extra-Urban" real,
"L/100km Combined" real,
"mpg-UK Urban (Cold)" real,
"mpg-UK Extra-Urban" real,
"mpg-UK Combined" real,
"mpg-US Urban" real,
"mpg-US Extra-Urban" real,
"mpg-US Combined" real,
"CO 2 g/km" real,
"Green Rating" text
)
|
SELECT "Model" FROM table_65279 WHERE "Green Rating" = 'g' AND "Manufacturer" = 'chrysler jeep' AND "L/100km Urban (Cold)" < '18' AND "mpg-UK Combined" = '27.7'
|
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How many were the US viewers (in millions) of the episode that was written by Gordon C. Lonsdale?
|
CREATE TABLE table_74031 (
"No. in series" real,
"No. in season" real,
"Title" text,
"Directed by" text,
"Written by" text,
"Original air date" text,
"Production code" text,
"U.S. viewers (millions)" text
)
|
SELECT "U.S. viewers (millions)" FROM table_74031 WHERE "Directed by" = 'Gordon C. Lonsdale'
|
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