NATURAL_LANG
stringlengths 0
446
| SCHEMA
stringlengths 27
2.21k
| SQL
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453
| input_ids
list | attention_mask
list | labels
list |
|---|---|---|---|---|---|
what is the competition when the result is 2-1?
|
CREATE TABLE table_name_58 (
competition VARCHAR,
result VARCHAR
)
|
SELECT competition FROM table_name_58 WHERE result = "2-1"
|
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Which home teams had crowds larger than 4,000?
|
CREATE TABLE table_name_25 (home_team VARCHAR, crowd INTEGER)
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SELECT home_team FROM table_name_25 WHERE crowd > 4 OFFSET 000
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Who won best amiga demo when tribes ( pulse & melon dezign) won best pc demo?
|
CREATE TABLE table_27177 (
"Year" text,
"Amiga demo" text,
"PC demo" text,
"C64 demo" text,
"Amiga intro" text,
"PC intro" text
)
|
SELECT "Amiga demo" FROM table_27177 WHERE "PC demo" = 'Tribes ( Pulse & Melon Dezign)'
|
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List the names of counties in descending order of population.
|
CREATE TABLE county_public_safety (Name VARCHAR, Population VARCHAR)
|
SELECT Name FROM county_public_safety ORDER BY Population DESC
|
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How many members are in each party. Visualize by pie chart.
|
CREATE TABLE region (
Region_ID int,
Region_name text,
Date text,
Label text,
Format text,
Catalogue text
)
CREATE TABLE party_events (
Event_ID int,
Event_Name text,
Party_ID int,
Member_in_charge_ID int
)
CREATE TABLE member (
Member_ID int,
Member_Name text,
Party_ID text,
In_office text
)
CREATE TABLE party (
Party_ID int,
Minister text,
Took_office text,
Left_office text,
Region_ID int,
Party_name text
)
|
SELECT Party_name, COUNT(*) FROM member AS T1 JOIN party AS T2 ON T1.Party_ID = T2.Party_ID GROUP BY T1.Party_ID
|
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Name the venue for 2004 and position of 25th
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CREATE TABLE table_67492 (
"Year" real,
"Competition" text,
"Venue" text,
"Position" text,
"Notes" text
)
|
SELECT "Venue" FROM table_67492 WHERE "Position" = '25th' AND "Year" = '2004'
|
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Name the electoraate for united future being 4.47%
|
CREATE TABLE table_20217811_1 (electorate VARCHAR, united_future VARCHAR)
|
SELECT electorate FROM table_20217811_1 WHERE united_future = "4.47%"
|
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what is primary disease and procedure icd9 code of subject id 18077?
|
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
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 demographic.diagnosis, procedures.icd9_code FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.subject_id = "18077"
|
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What's the wold ranking of the index by Transparency International?
|
CREATE TABLE table_2200 (
"Index (Year)" text,
"Author / Editor / Source" text,
"Year of publication" text,
"Countries sampled" real,
"World Ranking (1)" text,
"Ranking L.A. (2)" text
)
|
SELECT "World Ranking (1)" FROM table_2200 WHERE "Author / Editor / Source" = 'Transparency International'
|
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What kind of hand guards are associated with a rear sight of A1 and stock of A2?
|
CREATE TABLE table_12834315_8 (
hand_guards VARCHAR,
rear_sight VARCHAR,
stock VARCHAR
)
|
SELECT hand_guards FROM table_12834315_8 WHERE rear_sight = "A1" AND stock = "A2"
|
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What event was a loss in 5:00?
|
CREATE TABLE table_name_52 (event VARCHAR, res VARCHAR, time VARCHAR)
|
SELECT event FROM table_name_52 WHERE res = "loss" AND time = "5:00"
|
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Yards larger than 52, and a Opponent of san francisco 49ers is what kicker?
|
CREATE TABLE table_35080 (
"Date" text,
"Kicker" text,
"Kicking team" text,
"Opponent" text,
"Yards" real,
"Result" text,
"Game time" text
)
|
SELECT "Kicker" FROM table_35080 WHERE "Yards" > '52' AND "Opponent" = 'san francisco 49ers'
|
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The Zeehond was built by whom?
|
CREATE TABLE table_name_49 (builder VARCHAR, ship VARCHAR)
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SELECT builder FROM table_name_49 WHERE ship = "zeehond"
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What is the national share of Guizhou's administrative division?
|
CREATE TABLE table_171666_1 (national_share___percentage_ VARCHAR, administrative_division VARCHAR)
|
SELECT national_share___percentage_ FROM table_171666_1 WHERE administrative_division = "Guizhou"
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count the number of patients whose admission type is emergency and lab test name is ld, body fluid?
|
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 lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND lab.label = "LD, Body Fluid"
|
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-100,
-100
] |
Give me a stacked bar chart for showing the total number of each ship type and categorize it by ship nationality, and I want to order names in desc order.
|
CREATE TABLE mission (
Mission_ID int,
Ship_ID int,
Code text,
Launched_Year int,
Location text,
Speed_knots int,
Fate text
)
CREATE TABLE ship (
Ship_ID int,
Name text,
Type text,
Nationality text,
Tonnage int
)
|
SELECT Type, COUNT(Type) FROM ship GROUP BY Nationality, Type ORDER BY Type DESC
|
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] |
How many different Leagues are associated with Billy Meredith Category:Articles with hCards?
|
CREATE TABLE table_14962287_2 (
league VARCHAR,
name VARCHAR
)
|
SELECT COUNT(league) FROM table_14962287_2 WHERE name = "Billy Meredith Category:Articles with hCards"
|
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What release date has 6998 as the production num.?
|
CREATE TABLE table_name_77 (
release_date VARCHAR,
production_num VARCHAR
)
|
SELECT release_date FROM table_name_77 WHERE production_num = "6998"
|
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List all information about courses sorted by credits in the ascending order.
|
CREATE TABLE COURSE (Credits VARCHAR)
|
SELECT * FROM COURSE ORDER BY Credits
|
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What was the away team score at Western Oval?
|
CREATE TABLE table_name_64 (away_team VARCHAR, venue VARCHAR)
|
SELECT away_team AS score FROM table_name_64 WHERE venue = "western oval"
|
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What is the average grid for piers courage?
|
CREATE TABLE table_name_96 (grid INTEGER, driver VARCHAR)
|
SELECT AVG(grid) FROM table_name_96 WHERE driver = "piers courage"
|
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What date had a kickoff of 1:00 and a result of l 27-14?
|
CREATE TABLE table_name_81 (date VARCHAR, result VARCHAR, kickoff_ VARCHAR, a_ VARCHAR)
|
SELECT date FROM table_name_81 WHERE kickoff_[a_] = "1:00" AND result = "l 27-14"
|
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What is the Rank that has a Season of 1995/96?
|
CREATE TABLE table_name_77 (rank VARCHAR, season VARCHAR)
|
SELECT rank FROM table_name_77 WHERE season = "1995/96"
|
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Which works number has a class of 15th and year of 1940?
|
CREATE TABLE table_name_69 (
works_no VARCHAR,
class VARCHAR,
year VARCHAR
)
|
SELECT works_no FROM table_name_69 WHERE class = "15th" AND year = "1940"
|
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Who was the opponent with a score of 109–108?
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CREATE TABLE table_name_7 (opponent VARCHAR, score VARCHAR)
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SELECT opponent FROM table_name_7 WHERE score = "109–108"
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what is the primary disease and procedure for the patient name travis hofman?
|
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 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 demographic.diagnosis, procedures.short_title FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.name = "Travis Hofman"
|
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what is the continent in which the country russia is listed?
|
CREATE TABLE table_29514 (
"Year" text,
"Summits" text,
"Country" text,
"Continent" text,
"Elevation ft" real,
"Elevation m" real
)
|
SELECT "Continent" FROM table_29514 WHERE "Country" = 'Russia'
|
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What are December 10's high points?
|
CREATE TABLE table_27712451_6 (
high_points VARCHAR,
date VARCHAR
)
|
SELECT high_points FROM table_27712451_6 WHERE date = "December 10"
|
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During what weak of the season was the game played on october 4, 1987?
|
CREATE TABLE table_13258806_2 (
week INTEGER,
date VARCHAR
)
|
SELECT MAX(week) FROM table_13258806_2 WHERE date = "October 4, 1987"
|
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What is the average base price of rooms, for each bed type Plot them as bar chart, and display total number in asc order.
|
CREATE TABLE Rooms (
RoomId TEXT,
roomName TEXT,
beds INTEGER,
bedType TEXT,
maxOccupancy INTEGER,
basePrice INTEGER,
decor TEXT
)
CREATE TABLE Reservations (
Code INTEGER,
Room TEXT,
CheckIn TEXT,
CheckOut TEXT,
Rate REAL,
LastName TEXT,
FirstName TEXT,
Adults INTEGER,
Kids INTEGER
)
|
SELECT bedType, AVG(basePrice) FROM Rooms GROUP BY bedType ORDER BY AVG(basePrice)
|
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What Persian word has the same meaning as the Domari word na?
|
CREATE TABLE table_name_84 (persian VARCHAR, domari VARCHAR)
|
SELECT persian FROM table_name_84 WHERE domari = "na"
|
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What is the 1st round with fc nantes (d1) as team 1?
|
CREATE TABLE table_name_25 (
team_1 VARCHAR
)
|
SELECT 1 AS st_round FROM table_name_25 WHERE team_1 = "fc nantes (d1)"
|
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Who was the CM winning team when the FM winning team was #17 Elva - Ford?
|
CREATE TABLE table_29225103_2 (cm_winning_team VARCHAR, fm_winning_team VARCHAR)
|
SELECT cm_winning_team FROM table_29225103_2 WHERE fm_winning_team = "#17 Elva - Ford"
|
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How many golds have a Total of 11, and a Bronze smaller than 3?
|
CREATE TABLE table_name_81 (
gold INTEGER,
total VARCHAR,
bronze VARCHAR
)
|
SELECT SUM(gold) FROM table_name_81 WHERE total = 11 AND bronze < 3
|
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When they played at Chicago Bulls, what was the Location/Attendance?
|
CREATE TABLE table_name_47 (location_attendance VARCHAR, opponent VARCHAR)
|
SELECT location_attendance FROM table_name_47 WHERE opponent = "at chicago bulls"
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Which Draws has a Wins smaller than 17, and an Against smaller than 1158?
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CREATE TABLE table_name_64 (draws VARCHAR, wins VARCHAR, against VARCHAR)
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SELECT COUNT(draws) FROM table_name_64 WHERE wins < 17 AND against < 1158
|
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Where did the song by Michael Ball, which placed 2nd in Eurovision prior to 1961, place on the UK charts?
|
CREATE TABLE table_name_33 (uk_chart VARCHAR, artist VARCHAR, year VARCHAR, at_eurovision VARCHAR)
|
SELECT uk_chart FROM table_name_33 WHERE year > 1961 AND at_eurovision = "2nd" AND artist = "michael ball"
|
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What is the Place of the Player with a To par of 5?
|
CREATE TABLE table_61952 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" text
)
|
SELECT "Place" FROM table_61952 WHERE "To par" = '–5'
|
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What is the only city name with a population density of 200?
|
CREATE TABLE table_24233 (
"Name" text,
"Municipal status" text,
"Census division" text,
"Population (2011)" real,
"Population (2006)" real,
"Change (%)" text,
"Area (km\u00b2)" text,
"Population density" text
)
|
SELECT "Name" FROM table_24233 WHERE "Population density" = '200'
|
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How many directors were there for the film Course Completed?
|
CREATE TABLE table_10798928_1 (director VARCHAR, film_title_used_in_nomination VARCHAR)
|
SELECT COUNT(director) FROM table_10798928_1 WHERE film_title_used_in_nomination = "Course Completed"
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How many people attended the home game against the New York Jets?
|
CREATE TABLE table_62776 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"Attendance" real
)
|
SELECT SUM("Attendance") FROM table_62776 WHERE "Opponent" = 'new york jets'
|
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what is the number of patients whose age is less than 43 and lab test fluid is pleural?
|
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
)
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 lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "43" AND lab.fluid = "Pleural"
|
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Which sport has 17 as the medal count?
|
CREATE TABLE table_63603 (
"Medal count" real,
"Date" text,
"Athlete" text,
"Nation" text,
"Sport" text,
"Record medal event" text
)
|
SELECT "Sport" FROM table_63603 WHERE "Medal count" = '17'
|
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What is the sum of bronzes having silvers over 5 and golds under 20?
|
CREATE TABLE table_name_43 (
bronze INTEGER,
silver VARCHAR,
gold VARCHAR
)
|
SELECT SUM(bronze) FROM table_name_43 WHERE silver > 5 AND gold < 20
|
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What is the average attendance for matches where the home team was vida?
|
CREATE TABLE table_name_2 (
attendance INTEGER,
home VARCHAR
)
|
SELECT AVG(attendance) FROM table_name_2 WHERE home = "vida"
|
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
Show the title and the lowest rating among all movies in a bar chart, I want to rank in ascending by the Y.
|
CREATE TABLE Movie (
mID int,
title text,
year int,
director text
)
CREATE TABLE Reviewer (
rID int,
name text
)
CREATE TABLE Rating (
rID int,
mID int,
stars int,
ratingDate date
)
|
SELECT title, MIN(T1.stars) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID GROUP BY title ORDER BY MIN(T1.stars)
|
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3,
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14196,
2233,
6,
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3624,
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] |
What is the lowest Total for rank 3 with more than 4 gold?
|
CREATE TABLE table_41456 (
"Rank" text,
"Nation" text,
"Gold" real,
"Silver" real,
"Bronze" real,
"Total" real
)
|
SELECT MIN("Total") FROM table_41456 WHERE "Rank" = '3' AND "Gold" > '4'
|
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What is the time of songs that have the writer Aaron Schroeder and Wally Gold?
|
CREATE TABLE table_name_55 (
time VARCHAR,
writer_s_ VARCHAR
)
|
SELECT time FROM table_name_55 WHERE writer_s_ = "aaron schroeder and wally gold"
|
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Who is man of the match for match number 5?
|
CREATE TABLE table_17103566_1 (man_of_the_match VARCHAR, match_number VARCHAR)
|
SELECT man_of_the_match FROM table_17103566_1 WHERE match_number = 5
|
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When Matt Ware won the mens singles, who won the mixed restricted?
|
CREATE TABLE table_28211674_3 (
mixed_restricted VARCHAR,
mens_singles VARCHAR
)
|
SELECT mixed_restricted FROM table_28211674_3 WHERE mens_singles = "Matt Ware"
|
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Which result happened more recently than week 2, and had a date of November 30, 1958?
|
CREATE TABLE table_35374 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"Record" text,
"Game Site" text,
"Attendance" real
)
|
SELECT "Result" FROM table_35374 WHERE "Week" > '2' AND "Date" = 'november 30, 1958'
|
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When the PCT route available is yes and the maximum term is 10 years, what are the available conversions from patent applications?
|
CREATE TABLE table_2279413_1 (
conversion_from_patent_application VARCHAR,
maximum_term VARCHAR,
pct_route_available VARCHAR
)
|
SELECT conversion_from_patent_application FROM table_2279413_1 WHERE maximum_term = "10 years" AND pct_route_available = "Yes"
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When has a Visitor of new england whalers, and a Record of 9 9 1? Question 2
|
CREATE TABLE table_37296 (
"Date" text,
"Visitor" text,
"Score" text,
"Home" text,
"Record" text
)
|
SELECT "Date" FROM table_37296 WHERE "Visitor" = 'new england whalers' AND "Record" = '9–9–1'
|
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What is the Versus with a Player with ko otieno, with Venue with bloemfontein?
|
CREATE TABLE table_54343 (
"Dismissals" text,
"Player" text,
"Versus" text,
"Venue" text,
"Date" text
)
|
SELECT "Versus" FROM table_54343 WHERE "Player" = 'ko otieno' AND "Venue" = 'bloemfontein'
|
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What U15 3rd Quad has a U15 2nd Quad of ACGS?
|
CREATE TABLE table_name_89 (u15_3rd_quad VARCHAR, u15_2nd_quad VARCHAR)
|
SELECT u15_3rd_quad FROM table_name_89 WHERE u15_2nd_quad = "acgs"
|
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What is the average snatch score of body builders?
|
CREATE TABLE body_builder (
body_builder_id number,
people_id number,
snatch number,
clean_jerk number,
total number
)
CREATE TABLE people (
people_id number,
name text,
height number,
weight number,
birth_date text,
birth_place text
)
|
SELECT AVG(snatch) FROM body_builder
|
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What is the frequency for the 10kw station with DXEZ as its callsign?
|
CREATE TABLE table_name_25 (frequency VARCHAR, power__kw_ VARCHAR, callsign VARCHAR)
|
SELECT frequency FROM table_name_25 WHERE power__kw_ = "10kw" AND callsign = "dxez"
|
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In which venue did the home team score 11.20 (86)?
|
CREATE TABLE table_33028 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
)
|
SELECT "Venue" FROM table_33028 WHERE "Home team score" = '11.20 (86)'
|
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Find the details of all the markets that are accessible by walk or bus.
|
CREATE TABLE visits (
visit_id number,
tourist_attraction_id number,
tourist_id number,
visit_date time,
visit_details text
)
CREATE TABLE royal_family (
royal_family_id number,
royal_family_details text
)
CREATE TABLE staff (
staff_id number,
tourist_attraction_id number,
name text,
other_details text
)
CREATE TABLE street_markets (
market_id number,
market_details text
)
CREATE TABLE ref_attraction_types (
attraction_type_code text,
attraction_type_description text
)
CREATE TABLE shops (
shop_id number,
shop_details text
)
CREATE TABLE theme_parks (
theme_park_id number,
theme_park_details text
)
CREATE TABLE features (
feature_id number,
feature_details text
)
CREATE TABLE hotels (
hotel_id number,
star_rating_code text,
pets_allowed_yn text,
price_range number,
other_hotel_details text
)
CREATE TABLE museums (
museum_id number,
museum_details text
)
CREATE TABLE tourist_attraction_features (
tourist_attraction_id number,
feature_id number
)
CREATE TABLE visitors (
tourist_id number,
tourist_details text
)
CREATE TABLE locations (
location_id number,
location_name text,
address text,
other_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 photos (
photo_id number,
tourist_attraction_id number,
name text,
description text,
filename text,
other_details text
)
CREATE TABLE ref_hotel_star_ratings (
star_rating_code text,
star_rating_description text
)
|
SELECT T1.market_details FROM street_markets AS T1 JOIN tourist_attractions AS T2 ON T1.market_id = T2.tourist_attraction_id WHERE T2.how_to_get_there = "walk" OR T2.how_to_get_there = "bus"
|
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What team was the opponent when the score was 8-2?
|
CREATE TABLE table_name_24 (opponent VARCHAR, score VARCHAR)
|
SELECT opponent FROM table_name_24 WHERE score = "8-2"
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What is the sum of the run 1 of athlete matthias guggenberger, who has a run 2 greater than 55.24?
|
CREATE TABLE table_name_40 (
run_1 INTEGER,
run_2 VARCHAR,
athlete VARCHAR
)
|
SELECT SUM(run_1) FROM table_name_40 WHERE run_2 > 55.24 AND athlete = "matthias guggenberger"
|
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What was the College of Player Perry Ellis?
|
CREATE TABLE table_53976 (
"Player" text,
"Height" text,
"School" text,
"Hometown" text,
"College" text,
"NBA Draft" text
)
|
SELECT "College" FROM table_53976 WHERE "Player" = 'perry ellis'
|
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How many grids does Ducati have with Casey Stoner as a rider with fewer than 27 laps?
|
CREATE TABLE table_50726 (
"Rider" text,
"Manufacturer" text,
"Laps" real,
"Time" text,
"Grid" real
)
|
SELECT COUNT("Grid") FROM table_50726 WHERE "Manufacturer" = 'ducati' AND "Rider" = 'casey stoner' AND "Laps" < '27'
|
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What is the frequency of the model whose part number is ado520biaa5do?
|
CREATE TABLE table_895 (
"Model Number" text,
"Stepping" text,
"Frequency" text,
"L2 Cache" text,
"HT" text,
"Multi 1" text,
"V Core" text,
"TDP" text,
"Socket" text,
"Release Date" text,
"Part Number(s)" text
)
|
SELECT "Frequency" FROM table_895 WHERE "Part Number(s)" = 'ADO520BIAA5DO'
|
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Who won under Gary Simms?
|
CREATE TABLE table_name_92 (winner VARCHAR, trainer VARCHAR)
|
SELECT winner FROM table_name_92 WHERE trainer = "gary simms"
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What city is the headquarter of the store Blackville?
|
CREATE TABLE district (
district_id number,
district_name text,
headquartered_city text,
city_population number,
city_area number
)
CREATE TABLE product (
product_id number,
product text,
dimensions text,
dpi number,
pages_per_minute_color number,
max_page_size text,
interface text
)
CREATE TABLE store_district (
store_id number,
district_id number
)
CREATE TABLE store_product (
store_id number,
product_id number
)
CREATE TABLE store (
store_id number,
store_name text,
type text,
area_size number,
number_of_product_category number,
ranking number
)
|
SELECT t3.headquartered_city FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id WHERE t1.store_name = "Blackville"
|
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For 2006 what category has the Show of kasautii zindagii kay?
|
CREATE TABLE table_name_54 (
category VARCHAR,
for_the_show VARCHAR,
year VARCHAR
)
|
SELECT category FROM table_name_54 WHERE for_the_show = "kasautii zindagii kay" AND year = 2006
|
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What played has 3 as the losing bonus?
|
CREATE TABLE table_name_91 (played VARCHAR, losing_bonus VARCHAR)
|
SELECT played FROM table_name_91 WHERE losing_bonus = "3"
|
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give me the number of patients whose drug code is posa200l and lab test fluid is urine?
|
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE 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
)
|
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.formulary_drug_cd = "POSA200L" AND lab.fluid = "Urine"
|
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Find the name and credit score of the customers who have some loans.
|
CREATE TABLE loan (
cust_id VARCHAR
)
CREATE TABLE customer (
cust_name VARCHAR,
credit_score VARCHAR,
cust_id VARCHAR
)
|
SELECT DISTINCT T1.cust_name, T1.credit_score FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id
|
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What type of song is larger than 8 and named 實情?
|
CREATE TABLE table_name_50 (kind_of_the_song VARCHAR, number VARCHAR, name_of_the_song VARCHAR)
|
SELECT kind_of_the_song FROM table_name_50 WHERE number > 8 AND name_of_the_song = "實情"
|
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How many different net run rates did the team with 19 total points have?
|
CREATE TABLE table_25368177_1 (
net_run_rate VARCHAR,
total_points VARCHAR
)
|
SELECT COUNT(net_run_rate) FROM table_25368177_1 WHERE total_points = 19
|
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What is the rank that shows 426 games?
|
CREATE TABLE table_67019 (
"Rank" text,
"Games" text,
"Player" text,
"Club" text,
"Career span" text
)
|
SELECT "Rank" FROM table_67019 WHERE "Games" = '426'
|
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Show the details of all trucks in the order of their license number.
|
CREATE TABLE products (
product_id number,
product_name text,
product_price number,
product_description text
)
CREATE TABLE trucks (
truck_id number,
truck_licence_number text,
truck_details text
)
CREATE TABLE delivery_route_locations (
location_code text,
route_id number,
location_address_id number,
location_name text
)
CREATE TABLE addresses (
address_id number,
address_details text,
city text,
zip_postcode text,
state_province_county text,
country text
)
CREATE TABLE order_deliveries (
location_code text,
actual_order_id number,
delivery_status_code text,
driver_employee_id number,
truck_id number,
delivery_date time
)
CREATE TABLE employees (
employee_id number,
employee_address_id number,
employee_name text,
employee_phone text
)
CREATE TABLE customer_addresses (
customer_id number,
address_id number,
date_from time,
address_type text,
date_to time
)
CREATE TABLE regular_order_products (
regular_order_id number,
product_id number
)
CREATE TABLE delivery_routes (
route_id number,
route_name text,
other_route_details text
)
CREATE TABLE actual_orders (
actual_order_id number,
order_status_code text,
regular_order_id number,
actual_order_date time
)
CREATE TABLE customers (
customer_id number,
payment_method text,
customer_name text,
customer_phone text,
customer_email text,
date_became_customer time
)
CREATE TABLE regular_orders (
regular_order_id number,
distributer_id number
)
CREATE TABLE actual_order_products (
actual_order_id number,
product_id number
)
|
SELECT truck_details FROM trucks ORDER BY truck_licence_number
|
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Display a bar chart for how old is the average person for each job?, sort by the X in ascending.
|
CREATE TABLE PersonFriend (
name varchar(20),
friend varchar(20),
year INTEGER
)
CREATE TABLE Person (
name varchar(20),
age INTEGER,
city TEXT,
gender TEXT,
job TEXT
)
|
SELECT job, AVG(age) FROM Person GROUP BY job ORDER BY job
|
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inform me about the number of patients born before 2168 who were diagnosed with unspecified hepatitis.
|
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 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
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2168" AND diagnoses.long_title = "Hepatitis, unspecified"
|
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What's the title of the episode directed by David von Ancken, with a episode number bigger than 16.0?
|
CREATE TABLE table_13336122_3 (
title VARCHAR,
directed_by VARCHAR,
no_in_series VARCHAR
)
|
SELECT title FROM table_13336122_3 WHERE directed_by = "David Von Ancken" AND no_in_series > 16.0
|
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Who was the finalist in the 2010 season in the host city tartu?
|
CREATE TABLE table_37207 (
"Season" real,
"Winner" text,
"Finalist" text,
"Score" text,
"Host City" text
)
|
SELECT "Finalist" FROM table_37207 WHERE "Host City" = 'tartu' AND "Season" = '2010'
|
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how many patients whose diagnoses short title is enterococcus group d and lab test name is bands?
|
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 INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Enterococcus group d" AND lab.label = "Bands"
|
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how many of the private patients were female?
|
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
)
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 COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "F" AND demographic.insurance = "Private"
|
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[
3,
23143,
14196,
2847,
17161,
599,
15438,
25424,
6227,
14798,
5,
7304,
11827,
834,
23,
26,
61,
21680,
14798,
549,
17444,
427,
14798,
5,
122,
3868,
3274,
96,
371,
121,
3430,
14798,
5,
29441,
3274,
96,
7855,
208,
342,
121,
1,
-100,
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] |
Which Car # has a Team of hendrick motorsports, and a Driver of mark martin, and a Position larger than 4?
|
CREATE TABLE table_name_95 (
car__number INTEGER,
pos VARCHAR,
team VARCHAR,
driver VARCHAR
)
|
SELECT AVG(car__number) FROM table_name_95 WHERE team = "hendrick motorsports" AND driver = "mark martin" AND pos > 4
|
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32100,
32103,
32102,
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4386,
6048,
332,
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953,
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834,
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443,
834,
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21342,
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[
3,
23143,
14196,
71,
17217,
599,
1720,
834,
834,
5525,
1152,
61,
21680,
953,
834,
4350,
834,
3301,
549,
17444,
427,
372,
3274,
96,
3225,
26,
5206,
2340,
6661,
7,
121,
3430,
2535,
3274,
96,
3920,
3157,
17,
77,
121,
3430,
3,
2748,
2490,
314,
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] |
What's the highest capacity for a position of 5 in 2004?
|
CREATE TABLE table_36960 (
"Team" text,
"Location" text,
"Venue" text,
"Capacity" real,
"Position in 2004" text
)
|
SELECT MAX("Capacity") FROM table_36960 WHERE "Position in 2004" = '5'
|
[
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what is the date when scorers is parkinson?
|
CREATE TABLE table_name_23 (
date VARCHAR,
scorers VARCHAR
)
|
SELECT date FROM table_name_23 WHERE scorers = "parkinson"
|
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How many games lost for team(s) with less than 4 paints and against total of over 340?
|
CREATE TABLE table_name_65 (lost VARCHAR, points VARCHAR, against VARCHAR)
|
SELECT COUNT(lost) FROM table_name_65 WHERE points < 4 AND against > 340
|
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What was the categoria when E.E.U.U was the country?
|
CREATE TABLE table_29565 (
"A\u00f1o" real,
"Trabajo nominado" text,
"Premio" text,
"Categor\u00eda" text,
"Country" text,
"Resultado" text
)
|
SELECT "Categor\u00eda" FROM table_29565 WHERE "Country" = 'E.E.U.U'
|
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When cabarita river is the hydrographic basin what is the lowest groundwater discharge (million m 3)?
|
CREATE TABLE table_26609958_1 (
groundwater_discharge__million_m_3__ INTEGER,
hydrographic_basin VARCHAR
)
|
SELECT MIN(groundwater_discharge__million_m_3__) FROM table_26609958_1 WHERE hydrographic_basin = "Cabarita River"
|
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What years does Goreville High School have members?
|
CREATE TABLE table_12380 (
"School" text,
"Location (Population)" text,
"Nickname(s)" text,
"Colors" text,
"Years Member" text,
"Enrollment (2013/14)" text
)
|
SELECT "Years Member" FROM table_12380 WHERE "School" = 'goreville high school'
|
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Cumulative point total for all teams playing on the Discovery Channel?
|
CREATE TABLE table_name_67 (
points VARCHAR,
team VARCHAR
)
|
SELECT COUNT(points) FROM table_name_67 WHERE team = "discovery channel"
|
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How many were in attendance at the game where the visiting team was the Jazz?
|
CREATE TABLE table_name_67 (attendance INTEGER, visitor VARCHAR)
|
SELECT SUM(attendance) FROM table_name_67 WHERE visitor = "jazz"
|
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What is the construction of Olivier Panis' car that retired due to a collision?
|
CREATE TABLE table_11189 (
"Driver" text,
"Constructor" text,
"Laps" text,
"Time/Retired" text,
"Grid" text
)
|
SELECT "Constructor" FROM table_11189 WHERE "Time/Retired" = 'collision' AND "Driver" = 'olivier panis'
|
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What is the total number with Nov 2012 with a Jun 2013 larger than 542, and a Aug 2011 more than 935?
|
CREATE TABLE table_51531 (
"Feb 2010" text,
"Mar 2010" text,
"May 2010" real,
"Jun 2010" real,
"Jul 2010" real,
"Aug 2010" real,
"Sep 2010" real,
"Oct 2010" real,
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"Mar 2013" real,
"Apr 2013" real,
"May 2013" real,
"Jun 2013" real,
"Jul 2013" real,
"Aug 2013" real,
"Sep 2013" real,
"Oct 2013" real
)
|
SELECT COUNT("Nov 2012") FROM table_51531 WHERE "Jun 2013" > '542' AND "Aug 2011" > '935'
|
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] |
What is total amount of points of entrants with a ford cosworth engine and a year later than 1991?
|
CREATE TABLE table_15121 (
"Year" real,
"Entrant" text,
"Chassis" text,
"Engine" text,
"Points" real
)
|
SELECT COUNT("Points") FROM table_15121 WHERE "Engine" = 'ford cosworth' AND "Year" > '1991'
|
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When did the staff member with first name as Janessa and last name as Sawayn join the company?
|
CREATE TABLE Staff (date_joined_staff VARCHAR, first_name VARCHAR, last_name VARCHAR)
|
SELECT date_joined_staff FROM Staff WHERE first_name = "Janessa" AND last_name = "Sawayn"
|
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Tell me the eastern #1 for week of 5
|
CREATE TABLE table_56897 (
"Week" real,
"EASTERN #1" text,
"Eastern #2" text,
"WESTERN #1" text,
"Western #2" text
)
|
SELECT "EASTERN #1" FROM table_56897 WHERE "Week" = '5'
|
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Which Goals have a Name of lee dong-gook?
|
CREATE TABLE table_41791 (
"Rank" real,
"Name" text,
"Years" text,
"Matches" real,
"Goals" real
)
|
SELECT MAX("Goals") FROM table_41791 WHERE "Name" = 'lee dong-gook'
|
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What is the entry for Upper index Kcal/ Nm 3 for the row with an entry that has a Lower index MJ/ Nm 3 larger than 47.91, for propylene, and an Upper index MJ/ Nm 3 larger than 77.04?
|
CREATE TABLE table_name_1 (
upper_index_kcal__nm_3 INTEGER,
upper_index_mj__nm_3 VARCHAR,
lower_index_mj__nm_3 VARCHAR,
fuel_gas VARCHAR
)
|
SELECT SUM(upper_index_kcal__nm_3) FROM table_name_1 WHERE lower_index_mj__nm_3 > 47.91 AND fuel_gas = "propylene" AND upper_index_mj__nm_3 > 77.04
|
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what is the engine when the rounds ar all, the tyre is m and the driver is david coulthard?
|
CREATE TABLE table_77578 (
"Entrant" text,
"Constructor" text,
"Chassis" text,
"Engine \u2020" text,
"Tyre" text,
"Driver" text,
"Rounds" text
)
|
SELECT "Engine \u2020" FROM table_77578 WHERE "Rounds" = 'all' AND "Tyre" = 'm' AND "Driver" = 'david coulthard'
|
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Who is the rider of Scot Racing team with a Honda constructor and rounds 6-17?
|
CREATE TABLE table_38940 (
"Team" text,
"Constructor" text,
"Motorcycle" text,
"Rider" text,
"Rounds" text
)
|
SELECT "Rider" FROM table_38940 WHERE "Constructor" = 'honda' AND "Team" = 'scot racing team' AND "Rounds" = '6-17'
|
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Which line after 1959 had the highest amount of points?
|
CREATE TABLE table_70837 (
"Year" real,
"Entrant" text,
"Chassis" text,
"Engine" text,
"Points" real
)
|
SELECT MAX("Points") FROM table_70837 WHERE "Year" > '1959'
|
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Who was the away team at Arden Street Oval?
|
CREATE TABLE table_name_20 (away_team VARCHAR, venue VARCHAR)
|
SELECT away_team FROM table_name_20 WHERE venue = "arden street oval"
|
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