NATURAL_LANG
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|---|---|---|---|---|---|
What are the dominant religions in the place with a population of 83?
|
CREATE TABLE table_2562572_27 (dominant_religion__2002_ VARCHAR, population__2011_ VARCHAR)
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SELECT dominant_religion__2002_ FROM table_2562572_27 WHERE population__2011_ = "83"
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Which Cover model has a Centerfold model of scarlett keegan?
|
CREATE TABLE table_40539 (
"Date" text,
"Cover model" text,
"Centerfold model" text,
"Interview subject" text,
"20 Questions" text
)
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SELECT "Cover model" FROM table_40539 WHERE "Centerfold model" = 'scarlett keegan'
|
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What is the biggended for 1947?
|
CREATE TABLE table_12526990_1 (
biggenden INTEGER,
year VARCHAR
)
|
SELECT MAX(biggenden) FROM table_12526990_1 WHERE year = 1947
|
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] |
What are the lot details of lots associated with transactions with share count smaller than 50?
|
CREATE TABLE LOTS (lot_details VARCHAR, lot_id VARCHAR); CREATE TABLE TRANSACTIONS_LOTS (transaction_id VARCHAR); CREATE TABLE TRANSACTIONS (transaction_id VARCHAR, share_count INTEGER)
|
SELECT T1.lot_details FROM LOTS AS T1 JOIN TRANSACTIONS_LOTS AS T2 ON T1.lot_id = T2.transaction_id JOIN TRANSACTIONS AS T3 ON T2.transaction_id = T3.transaction_id WHERE T3.share_count < 50
|
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What grade did jockey Robby Albarado get when racing with Ravens Pass?
|
CREATE TABLE table_33805 (
"Finish" text,
"Race" text,
"Distance" text,
"Jockey" text,
"Time" text,
"Grade" text,
"Runner up/Winner" text,
"Track" text
)
|
SELECT "Grade" FROM table_33805 WHERE "Jockey" = 'robby albarado' AND "Runner up/Winner" = 'ravens pass'
|
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how many countries have at least 10 total medals ?
|
CREATE TABLE table_203_716 (
id number,
"rank" number,
"nation" text,
"gold" number,
"silver" number,
"bronze" number,
"total" number
)
|
SELECT COUNT("nation") FROM table_203_716 WHERE "total" >= 10
|
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] |
What are the maximum and average height of the mountains?
|
CREATE TABLE mountain (
id number,
name text,
height number,
prominence number,
range text,
country text
)
CREATE TABLE camera_lens (
id number,
brand text,
name text,
focal_length_mm number,
max_aperture number
)
CREATE TABLE photos (
id number,
camera_lens_id number,
mountain_id number,
color text,
name text
)
|
SELECT MAX(height), AVG(height) FROM mountain
|
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Show different locations and the number of performances at each location by a bar chart, sort x-axis in ascending order.
|
CREATE TABLE member_attendance (
Member_ID int,
Performance_ID int,
Num_of_Pieces int
)
CREATE TABLE performance (
Performance_ID real,
Date text,
Host text,
Location text,
Attendance int
)
CREATE TABLE member (
Member_ID text,
Name text,
Nationality text,
Role text
)
|
SELECT Location, COUNT(*) FROM performance GROUP BY Location ORDER BY Location
|
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What is the Attendance when the Result is l0-13?
|
CREATE TABLE table_name_59 (
attendance VARCHAR,
result VARCHAR
)
|
SELECT attendance FROM table_name_59 WHERE result = "l0-13"
|
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What is the smallest finish time for a race where start was less than 3, buick was the manufacturer, and the race was held after 1978?
|
CREATE TABLE table_name_45 (
finish INTEGER,
start VARCHAR,
year VARCHAR,
manufacturer VARCHAR
)
|
SELECT MIN(finish) FROM table_name_45 WHERE year > 1978 AND manufacturer = "buick" AND start < 3
|
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what was the size when tom daley appeared
|
CREATE TABLE table_29141354_1 (
episode VARCHAR,
jamie_and_johns_guest VARCHAR
)
|
SELECT episode FROM table_29141354_1 WHERE jamie_and_johns_guest = "Tom Daley"
|
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After Match 43, what was the Attendance of the Match with a Score of 2-4?
|
CREATE TABLE table_name_14 (
attendance INTEGER,
match_no VARCHAR,
score VARCHAR
)
|
SELECT MAX(attendance) FROM table_name_14 WHERE match_no > 43 AND score = "2-4"
|
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count the number of patients whose diagnoses long title is 35-36 completed weeks of gestation and drug route is pr?
|
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE 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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.long_title = "35-36 completed weeks of gestation" AND prescriptions.route = "PR"
|
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WHAT WAS THE OVERALL NUMBER WITH A POSITON OF DB, AND ROUND GREATER THAN 8?
|
CREATE TABLE table_name_27 (overall VARCHAR, position VARCHAR, round VARCHAR)
|
SELECT COUNT(overall) FROM table_name_27 WHERE position = "db" AND round > 8
|
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] |
Bar chart of mean age from each city code, and show Y-axis in ascending order.
|
CREATE TABLE Dorm_amenity (
amenid INTEGER,
amenity_name VARCHAR(25)
)
CREATE TABLE Has_amenity (
dormid INTEGER,
amenid INTEGER
)
CREATE TABLE Dorm (
dormid INTEGER,
dorm_name VARCHAR(20),
student_capacity INTEGER,
gender VARCHAR(1)
)
CREATE TABLE Lives_in (
stuid INTEGER,
dormid INTEGER,
room_number INTEGER
)
CREATE TABLE Student (
StuID INTEGER,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
|
SELECT city_code, AVG(Age) FROM Student GROUP BY city_code ORDER BY AVG(Age)
|
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32100,
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32102,
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4386,
6048,
332,
17098,
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How many years had scores of 10–12, 6–1, 6–3?
|
CREATE TABLE table_2127933_3 (year VARCHAR, score VARCHAR)
|
SELECT COUNT(year) FROM table_2127933_3 WHERE score = "10–12, 6–1, 6–3"
|
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] |
Who won mixed doubles in the 2002 season?
|
CREATE TABLE table_name_42 (
mixed_doubles VARCHAR,
season VARCHAR
)
|
SELECT mixed_doubles FROM table_name_42 WHERE season = 2002
|
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Who was performer 3 with karen maruyama as performer 2?
|
CREATE TABLE table_name_67 (performer_3 VARCHAR, performer_2 VARCHAR)
|
SELECT performer_3 FROM table_name_67 WHERE performer_2 = "karen maruyama"
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give me the number of patients whose admission type is elective and lab test fluid is cerebrospinal fluid (csf)?
|
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 lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_type = "ELECTIVE" AND lab.fluid = "Cerebrospinal Fluid (CSF)"
|
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List all the customers in increasing order of IDs by a bar chart.
|
CREATE TABLE Services (
Service_ID INTEGER,
Service_name VARCHAR(40)
)
CREATE TABLE Customers_Policies (
Customer_ID INTEGER,
Policy_ID INTEGER,
Date_Opened DATE,
Date_Closed DATE
)
CREATE TABLE First_Notification_of_Loss (
FNOL_ID INTEGER,
Customer_ID INTEGER,
Policy_ID INTEGER,
Service_ID INTEGER
)
CREATE TABLE Customers (
Customer_ID INTEGER,
Customer_name VARCHAR(40)
)
CREATE TABLE Claims (
Claim_ID INTEGER,
FNOL_ID INTEGER,
Effective_Date DATE
)
CREATE TABLE Settlements (
Settlement_ID INTEGER,
Claim_ID INTEGER,
Effective_Date DATE,
Settlement_Amount REAL
)
CREATE TABLE Available_Policies (
Policy_ID INTEGER,
policy_type_code CHAR(15),
Customer_Phone VARCHAR(255)
)
|
SELECT Customer_name, Customer_ID FROM Customers ORDER BY Customer_ID
|
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Which away team is from junction oval?
|
CREATE TABLE table_58409 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
)
|
SELECT "Away team" FROM table_58409 WHERE "Venue" = 'junction oval'
|
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Show the transaction type descriptions and dates if the share count is smaller than 10.
|
CREATE TABLE Ref_Transaction_Types (
transaction_type_description VARCHAR,
transaction_type_code VARCHAR
)
CREATE TABLE TRANSACTIONS (
date_of_transaction VARCHAR,
transaction_type_code VARCHAR,
share_count INTEGER
)
|
SELECT T1.transaction_type_description, T2.date_of_transaction FROM Ref_Transaction_Types AS T1 JOIN TRANSACTIONS AS T2 ON T1.transaction_type_code = T2.transaction_type_code WHERE T2.share_count < 10
|
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What is the sum of Preliminary scores where the interview score is 9.654 and the average score is lower than 9.733?
|
CREATE TABLE table_name_84 (preliminary INTEGER, interview VARCHAR, average VARCHAR)
|
SELECT SUM(preliminary) FROM table_name_84 WHERE interview = 9.654 AND average < 9.733
|
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What is the party for the candidates edwin gray (dr)?
|
CREATE TABLE table_2668393_18 (
party VARCHAR,
candidates VARCHAR
)
|
SELECT party FROM table_2668393_18 WHERE candidates = "Edwin Gray (DR)"
|
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What is every company with an index weighting % of 1 and the city of Dimitrovgrad?
|
CREATE TABLE table_20667854_1 (
company VARCHAR,
index_weighting___percentage VARCHAR,
city VARCHAR
)
|
SELECT company FROM table_20667854_1 WHERE index_weighting___percentage = "1" AND city = "Dimitrovgrad"
|
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what is average age of patients whose insurance is private and days of hospital stay is 7?
|
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 AVG(demographic.age) FROM demographic WHERE demographic.insurance = "Private" AND demographic.days_stay = "7"
|
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What is the platform if the weight is 131.5g?
|
CREATE TABLE table_26146 (
"Code name" text,
"Market name" text,
"Platform" text,
"Release date" text,
"Android version" text,
"System on chip" text,
"RAM" text,
"ROM" text,
"Display" text,
"Weight" text,
"Battery ( mAh )" real,
"Bluetooth" text,
"Wi-Fi" text,
"NFC" text,
"Camera" text,
"Network" text
)
|
SELECT "Platform" FROM table_26146 WHERE "Weight" = '131.5g'
|
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What was the Record at the game that had an attendance of 21,191?
|
CREATE TABLE table_54398 (
"Date" text,
"Opponent" text,
"Score" text,
"Loss" text,
"Attendance" text,
"Record" text
)
|
SELECT "Record" FROM table_54398 WHERE "Attendance" = '21,191'
|
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How many poles are there in the Formula Three Euroseries in the 2008 season with more than 0 F/Laps?
|
CREATE TABLE table_name_40 (
poles INTEGER,
f_laps VARCHAR,
series VARCHAR,
season VARCHAR
)
|
SELECT SUM(poles) FROM table_name_40 WHERE series = "formula three euroseries" AND season = "2008" AND f_laps > 0
|
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Which manufacturer has 8 laps?
|
CREATE TABLE table_45527 (
"Rider" text,
"Manufacturer" text,
"Laps" text,
"Time/Retired" text,
"Grid" text
)
|
SELECT "Manufacturer" FROM table_45527 WHERE "Laps" = '8'
|
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When was the show 9 to 5 returning?
|
CREATE TABLE table_76529 (
"Show" text,
"Last Aired" real,
"Previous Network" text,
"Retitled as/Same" text,
"New/Returning/Same Network" text,
"Returning" text
)
|
SELECT "Returning" FROM table_76529 WHERE "Show" = '9 to 5'
|
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In the tournament of HSBC Champions, what was the sum of the Starts with Wins lower than 0?
|
CREATE TABLE table_52723 (
"Tournament" text,
"Starts" real,
"Top-10s" real,
"Wins" real,
"Earnings ($)" text
)
|
SELECT SUM("Starts") FROM table_52723 WHERE "Tournament" = 'hsbc champions' AND "Wins" < '0'
|
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If the province is British Columbia, what is the Arabs 2001 total number?
|
CREATE TABLE table_2039 (
"Province" text,
"Arabs 2001" real,
"% 2001" text,
"Arabs 2011" real,
"% 2011" text
)
|
SELECT COUNT("Arabs 2001") FROM table_2039 WHERE "Province" = 'British Columbia'
|
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What was the decay for the sattelite that was 180 kg?
|
CREATE TABLE table_2150068_1 (decay VARCHAR, mass_kg_ VARCHAR)
|
SELECT decay FROM table_2150068_1 WHERE mass_kg_ = "180"
|
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What company plays on april 1?
|
CREATE TABLE table_27733258_11 (
team VARCHAR,
date VARCHAR
)
|
SELECT team FROM table_27733258_11 WHERE date = "April 1"
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Name the fastest lap for piquet sports and silverstone
|
CREATE TABLE table_25322130_3 (
fastest_lap VARCHAR,
winning_team VARCHAR,
circuit VARCHAR
)
|
SELECT fastest_lap FROM table_25322130_3 WHERE winning_team = "Piquet Sports" AND circuit = "Silverstone"
|
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What is Country of Origin, when Type is Disposable, when Primary Cartridge is 105mm, and when Year of Intro is less than 2008?
|
CREATE TABLE table_name_74 (
country_of_origin VARCHAR,
year_of_intro VARCHAR,
type VARCHAR,
primary_cartridge VARCHAR
)
|
SELECT country_of_origin FROM table_name_74 WHERE type = "disposable" AND primary_cartridge = "105mm" AND year_of_intro < 2008
|
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When critical altitude is sea level, what is the compression ration for a supercharger gear ratio of 7:1?
|
CREATE TABLE table_16551 (
"Engine" text,
"Power, continuous" text,
"Critical altitude This is the highest altitude at which the engine can achieve its full continuous power rating. Above this altitude, power falls off with height as with a naturally aspirated engine . See Supercharger#Altitude effects for details." text,
"Power, takeoff" text,
"Compression ratio" text,
"Supercharger gear ratio" text,
"Octane rating" text,
"Dry weight" text
)
|
SELECT "Compression ratio" FROM table_16551 WHERE "Critical altitude This is the highest altitude at which the engine can achieve its full continuous power rating. Above this altitude, power falls off with height as with a naturally aspirated engine . See Supercharger#Altitude effects for details." = 'sea level' AND "Supercharger gear ratio" = '7:1'
|
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What year was the score 269?
|
CREATE TABLE table_name_34 (year VARCHAR, score VARCHAR)
|
SELECT COUNT(year) FROM table_name_34 WHERE score = 269
|
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what is admission type and primary disease of subject name brian brock?
|
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 demographic.admission_type, demographic.diagnosis FROM demographic WHERE demographic.name = "Brian Brock"
|
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[
3,
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834,
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-100
] |
How many positions had jersey number 32
|
CREATE TABLE table_11734041_18 (position VARCHAR, no_s_ VARCHAR)
|
SELECT COUNT(position) FROM table_11734041_18 WHERE no_s_ = "32"
|
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] |
WHich Position is from russia?
|
CREATE TABLE table_name_39 (position VARCHAR, nationality VARCHAR)
|
SELECT position FROM table_name_39 WHERE nationality = "russia"
|
[
32100,
32103,
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-100,
-100,
-100
] |
How many workshops did each author submit to? Return the author name and the number of workshops in a bar chart, and could you display by the X in asc?
|
CREATE TABLE workshop (
Workshop_ID int,
Date text,
Venue text,
Name text
)
CREATE TABLE submission (
Submission_ID int,
Scores real,
Author text,
College text
)
CREATE TABLE Acceptance (
Submission_ID int,
Workshop_ID int,
Result text
)
|
SELECT Author, COUNT(DISTINCT T1.Workshop_ID) FROM Acceptance AS T1 JOIN submission AS T2 ON T1.Submission_ID = T2.Submission_ID ORDER BY Author
|
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32103,
32102,
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6048,
332,
17098,
4786,
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9644,
834,
4309,
16,
17,
6,
7678,
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29940,
1499,
6,
5570,
1499,
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61,
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32102,
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186,
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410,
284,
2291,
4237,
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58,
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381,
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16,
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9,
1207,
5059,
6,
11,
228,
25,
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23143,
14196,
10236,
6,
2847,
17161,
599,
15438,
25424,
6227,
332,
5411,
12492,
6921,
834,
4309,
61,
21680,
20592,
663,
6157,
332,
536,
3,
15355,
3162,
8121,
6157,
332,
357,
9191,
332,
5411,
25252,
5451,
834,
4309,
3274,
332,
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25252,
5451,
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-100
] |
Show sum team id from each all home, and could you show by the total number in desc?
|
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_Home, SUM(Team_ID) FROM basketball_match GROUP BY All_Home ORDER BY SUM(Team_ID) DESC
|
[
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
8498,
834,
19515,
41,
2271,
834,
4309,
16,
17,
6,
1121,
834,
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What District had Republican Incumbent Cathy McMorris?
|
CREATE TABLE table_name_75 (
district VARCHAR,
party VARCHAR,
incumbent VARCHAR
)
|
SELECT district FROM table_name_75 WHERE party = "republican" AND incumbent = "cathy mcmorris"
|
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Which Chassis has 4 points?
|
CREATE TABLE table_48184 (
"Year" real,
"Entrant" text,
"Chassis" text,
"Engine" text,
"Points" text
)
|
SELECT "Chassis" FROM table_48184 WHERE "Points" = '4'
|
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What is the 2005 value for the 2010 grand slam tournaments?
|
CREATE TABLE table_name_37 (Id VARCHAR)
|
SELECT 2005 FROM table_name_37 WHERE 2010 = "grand slam tournaments"
|
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What is the comp percentage when there are less than 44,611 in yardage, more than 254 touchdowns, and rank larger than 24?
|
CREATE TABLE table_79673 (
"Rank" real,
"Name" text,
"Tenure" text,
"Leagues" text,
"Attempts" real,
"Completions" real,
"Comp %" real,
"Touchdowns" real,
"Interceptions" real,
"Yardage" real,
"QB Rating" real
)
|
SELECT MIN("Comp %") FROM table_79673 WHERE "Yardage" < '44,611' AND "Touchdowns" > '254' AND "Rank" > '24'
|
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Which is the largest average number when the swimsuit is 9.4 and the evening gown stat is less than 9.486?
|
CREATE TABLE table_name_75 (average INTEGER, swimsuit VARCHAR, evening_gown VARCHAR)
|
SELECT MAX(average) FROM table_name_75 WHERE swimsuit = 9.4 AND evening_gown < 9.486
|
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What are the distinct nominees of the musicals with the award that is not "Tony Award"?
|
CREATE TABLE musical (Nominee VARCHAR, Award VARCHAR)
|
SELECT DISTINCT Nominee FROM musical WHERE Award <> "Tony Award"
|
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Find the branch name of the bank that has the most number of customers.
|
CREATE TABLE bank (bname VARCHAR, no_of_customers VARCHAR)
|
SELECT bname FROM bank ORDER BY no_of_customers DESC LIMIT 1
|
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Which nationality does Florida Tech have?
|
CREATE TABLE table_name_1 (
nationality VARCHAR,
school VARCHAR
)
|
SELECT nationality FROM table_name_1 WHERE school = "florida tech"
|
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What is the average December, when Game is "36"?
|
CREATE TABLE table_name_39 (december INTEGER, game VARCHAR)
|
SELECT AVG(december) FROM table_name_39 WHERE game = 36
|
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Which Country has the Director Chen Kaige?
|
CREATE TABLE table_name_79 (
country VARCHAR,
director VARCHAR
)
|
SELECT country FROM table_name_79 WHERE director = "chen kaige"
|
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How many Runners have a Placing that isn't 1?
|
CREATE TABLE table_name_55 (runners VARCHAR, placing INTEGER)
|
SELECT COUNT(runners) FROM table_name_55 WHERE placing > 1
|
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What Label has the Region of Australia?
|
CREATE TABLE table_name_84 (label VARCHAR, region VARCHAR)
|
SELECT label FROM table_name_84 WHERE region = "australia"
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Tell me the digital for tuner of thomson dtt75105
|
CREATE TABLE table_11613 (
"Type" text,
"Model" text,
"Tuner" text,
"Host Interface" text,
"Digital" text
)
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SELECT "Digital" FROM table_11613 WHERE "Tuner" = 'thomson dtt75105'
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what is minimum days of hospital stay of patients whose year of birth is greater than 2066?
|
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 MIN(demographic.days_stay) FROM demographic WHERE demographic.dob_year > "2066"
|
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What college had the 93 pick?
|
CREATE TABLE table_66267 (
"Pick" real,
"Team" text,
"Player" text,
"Position" text,
"College" text
)
|
SELECT "College" FROM table_66267 WHERE "Pick" = '93'
|
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provide the number of patients whose primary disease is celo-vessicle fistula and age is less than 74?
|
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 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.diagnosis = "CELO-VESSICLE FISTULA" AND demographic.age < "74"
|
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Which district is jamie l. whitten from?
|
CREATE TABLE table_1342233_24 (district VARCHAR, incumbent VARCHAR)
|
SELECT district FROM table_1342233_24 WHERE incumbent = "Jamie L. Whitten"
|
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Show all cities where at least one customer lives in but no performer lives in.
|
CREATE TABLE Customers (Address_ID VARCHAR); CREATE TABLE Addresses (City_Town VARCHAR, Address_ID VARCHAR); CREATE TABLE Performers (Address_ID VARCHAR)
|
SELECT T1.City_Town FROM Addresses AS T1 JOIN Customers AS T2 ON T1.Address_ID = T2.Address_ID EXCEPT SELECT T1.City_Town FROM Addresses AS T1 JOIN Performers AS T2 ON T1.Address_ID = T2.Address_ID
|
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What is the full amount of Total Cargo (in Metric Tonnes) where the Code (IATA/ICAO) is pvg/zspd, and the rank is less than 3?
|
CREATE TABLE table_34939 (
"Rank" real,
"Airport" text,
"Code (IATA/ICAO)" text,
"Total Cargo (Metric Tonnes)" real,
"% Change" text
)
|
SELECT SUM("Total Cargo (Metric Tonnes)") FROM table_34939 WHERE "Code (IATA/ICAO)" = 'pvg/zspd' AND "Rank" < '3'
|
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What is the losing bonus of the team with 22 pays and 428 points against?
|
CREATE TABLE table_name_9 (losing_bonus VARCHAR, played VARCHAR, points_against VARCHAR)
|
SELECT losing_bonus FROM table_name_9 WHERE played = "22" AND points_against = "428"
|
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Which Away has a Home of 2 2?
|
CREATE TABLE table_name_84 (
away VARCHAR,
home VARCHAR
)
|
SELECT away FROM table_name_84 WHERE home = "2–2"
|
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What is the Nationality of the Player with more than 8 Goals and Apps of 52?
|
CREATE TABLE table_name_5 (nationality VARCHAR, goals VARCHAR, apps VARCHAR)
|
SELECT nationality FROM table_name_5 WHERE goals > 8 AND apps = 52
|
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What is the format in the region of Europe with an XLCD369 and a label of XL?
|
CREATE TABLE table_46825 (
"Region" text,
"Date" text,
"Label" text,
"Format" text,
"Catalog" text
)
|
SELECT "Format" FROM table_46825 WHERE "Label" = 'xl' AND "Catalog" = 'xlcd369' AND "Region" = 'europe'
|
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Name the pick number for bill atessis
|
CREATE TABLE table_name_15 (pick__number VARCHAR, name VARCHAR)
|
SELECT pick__number FROM table_name_15 WHERE name = "bill atessis"
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What was the score for an n/a location with the odds of p + 1?
|
CREATE TABLE table_name_61 (result VARCHAR, location VARCHAR, odds VARCHAR)
|
SELECT result FROM table_name_61 WHERE location = "n/a" AND odds = "p + 1"
|
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how many patients below 51 years of age are diagnosed with preterm nec 2500+g?
|
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "51" AND diagnoses.short_title = "Preterm NEC 2500+g"
|
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give me the number of patients admitted before the year 2135 who had elective admission.
|
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 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 = "ELECTIVE" AND demographic.admityear < "2135"
|
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Show me a bar chart for how many movie reviews does each director get?, and I want to display by the y axis in descending please.
|
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 director, COUNT(*) FROM Movie AS T1 JOIN Rating AS T2 ON T1.mID = T2.mID GROUP BY T1.director ORDER BY COUNT(*) DESC
|
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Which country has a population of 3,221,216?
|
CREATE TABLE table_43020 (
"Country" text,
"Area (km\u00b2)" text,
"Population (2011 est.)" text,
"Population density (per km\u00b2)" text,
"GDP (PPP) $M USD" text
)
|
SELECT "Country" FROM table_43020 WHERE "Population (2011 est.)" = '3,221,216'
|
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what was the average yearly number of patients who were diagnosed with valve repair < 7 days until 2104?
|
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
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 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 lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
|
SELECT AVG(t1.c1) FROM (SELECT COUNT(DISTINCT diagnosis.patientunitstayid) AS c1 FROM diagnosis WHERE diagnosis.diagnosisname = 'valve repair < 7 days' AND STRFTIME('%y', diagnosis.diagnosistime) <= '2104' GROUP BY STRFTIME('%y', diagnosis.diagnosistime)) AS t1
|
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Who were the umpires when Paul Vines (S) won the Simpson Medal?
|
CREATE TABLE table_13514348_7 (
umpires VARCHAR,
simpson_medal VARCHAR
)
|
SELECT umpires FROM table_13514348_7 WHERE simpson_medal = "Paul Vines (S)"
|
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What was the kickoff time on monday, may 13?
|
CREATE TABLE table_1639689_2 (kickoff VARCHAR, date VARCHAR)
|
SELECT kickoff FROM table_1639689_2 WHERE date = "Monday, May 13"
|
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Name the maximum year built for holmedal kyrkje
|
CREATE TABLE table_21970 (
"Parish (Prestegjeld)" text,
"Sub-Parish (Sokn)" text,
"Church Name" text,
"Year Built" real,
"Location of the Church" text
)
|
SELECT MAX("Year Built") FROM table_21970 WHERE "Church Name" = 'Holmedal kyrkje'
|
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What name has the call sign DWYS?
|
CREATE TABLE table_name_40 (
name VARCHAR,
call_sign VARCHAR
)
|
SELECT name FROM table_name_40 WHERE call_sign = "dwys"
|
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When Richmond was the home team, what was the home team score?
|
CREATE TABLE table_4843 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
)
|
SELECT "Home team score" FROM table_4843 WHERE "Home team" = 'richmond'
|
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Name the part one for to give
|
CREATE TABLE table_1745843_9 (part_1 VARCHAR, verb_meaning VARCHAR)
|
SELECT part_1 FROM table_1745843_9 WHERE verb_meaning = "to give"
|
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What is the last year total for the team with a lowest of 23578?
|
CREATE TABLE table_27070 (
"Team" text,
"Hosted" real,
"Average" real,
"Highest" real,
"Lowest" real,
"Total" real,
"Last Year" real,
"Up/Down" text
)
|
SELECT MAX("Last Year") FROM table_27070 WHERE "Lowest" = '23578'
|
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Who held the fastest lap in the race in texas and dario franchitti is the winning driver?
|
CREATE TABLE table_19850806_3 (
fastest_lap VARCHAR,
race VARCHAR,
winning_driver VARCHAR
)
|
SELECT fastest_lap FROM table_19850806_3 WHERE race = "Texas" AND winning_driver = "Dario Franchitti"
|
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Which Round has a School/Club Team of indiana, and a Pick smaller than 198?
|
CREATE TABLE table_name_85 (round INTEGER, school_club_team VARCHAR, pick VARCHAR)
|
SELECT AVG(round) FROM table_name_85 WHERE school_club_team = "indiana" AND pick < 198
|
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] |
What is the Challenge Cup total with a League of 1, Player Simon Storey, and a Total greater than 1?
|
CREATE TABLE table_15751 (
"Player" text,
"League" real,
"Scottish Cup" real,
"League Cup" real,
"Challenge Cup" real,
"Total" real
)
|
SELECT SUM("Challenge Cup") FROM table_15751 WHERE "League" = '1' AND "Player" = 'simon storey' AND "Total" > '1'
|
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Which parts have more than 2 faults? Show the part name and id.
|
CREATE TABLE Parts (part_name VARCHAR, part_id VARCHAR); CREATE TABLE Part_Faults (part_id VARCHAR)
|
SELECT T1.part_name, T1.part_id FROM Parts AS T1 JOIN Part_Faults AS T2 ON T1.part_id = T2.part_id GROUP BY T1.part_id HAVING COUNT(*) > 2
|
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How many Foreign-born (1000) are from Sweden and born in some other EU state (1000) larger than 477?
|
CREATE TABLE table_name_7 (total_foreign_born__1000_ INTEGER, country VARCHAR, born_in_other_eu_state__1000_ VARCHAR)
|
SELECT SUM(total_foreign_born__1000_) FROM table_name_7 WHERE country = "sweden" AND born_in_other_eu_state__1000_ > 477
|
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Provide the number of patients whose ethnicity is black/african and had a lab test for amylase.
|
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 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
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.ethnicity = "BLACK/AFRICAN AMERICAN" AND lab.label = "Amylase"
|
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What number was there 6.01 million u.s. drivers?
|
CREATE TABLE table_23483182_1 (no_in_season VARCHAR, us_viewers__million_ VARCHAR)
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SELECT no_in_season FROM table_23483182_1 WHERE us_viewers__million_ = "6.01"
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Who was the away team when the VFL played at MCG?
|
CREATE TABLE table_74575 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
)
|
SELECT "Away team" FROM table_74575 WHERE "Venue" = 'mcg'
|
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Who did the Jets play in their post-week 15 game?
|
CREATE TABLE table_name_2 (
opponent VARCHAR,
week INTEGER
)
|
SELECT opponent FROM table_name_2 WHERE week > 15
|
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based on the table , which locomotive was built first ?
|
CREATE TABLE table_203_223 (
id number,
"name" text,
"gauge" text,
"builder" text,
"type" text,
"date" number,
"works number" number,
"notes" text
)
|
SELECT "name" FROM table_203_223 ORDER BY "date" LIMIT 1
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What was the order of the Tokyo olympic games?
|
CREATE TABLE table_name_9 (
order VARCHAR,
olympic_games VARCHAR
)
|
SELECT order FROM table_name_9 WHERE olympic_games = "tokyo"
|
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Who called the race in 1998?
|
CREATE TABLE table_22583466_3 (
race_caller VARCHAR,
year VARCHAR
)
|
SELECT race_caller FROM table_22583466_3 WHERE year = 1998
|
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Who were the governors of the parties associated with delegates from district 1?
|
CREATE TABLE party (Governor VARCHAR, Party_ID VARCHAR); CREATE TABLE election (Party VARCHAR, District VARCHAR)
|
SELECT T2.Governor FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID WHERE T1.District = 1
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Name the best director for mother
|
CREATE TABLE table_15301258_1 (
best_director VARCHAR,
best_film VARCHAR
)
|
SELECT best_director FROM table_15301258_1 WHERE best_film = "Mother"
|
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How many races were for a distance of 2020 m?
|
CREATE TABLE table_18845 (
"Result" text,
"Date" text,
"Race" text,
"Venue" text,
"Group" text,
"Distance" text,
"Weight (kg)" real,
"Jockey" text,
"Winner/2nd" text
)
|
SELECT COUNT("Group") FROM table_18845 WHERE "Distance" = '2020 m'
|
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What is the province for with the stadium capacity of 5100?
|
CREATE TABLE table_27369069_4 (province VARCHAR, stadium_capacity VARCHAR)
|
SELECT province FROM table_27369069_4 WHERE stadium_capacity = 5100
|
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What is the Away team at the game with a Score of 1 – 0 and Attendance of 1,791?
|
CREATE TABLE table_name_4 (away_team VARCHAR, score VARCHAR, attendance VARCHAR)
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SELECT away_team FROM table_name_4 WHERE score = "1 – 0" AND attendance = "1,791"
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How many bronzes have a total less than 11, with 11 as the rank, and a gold less than 1?
|
CREATE TABLE table_name_81 (bronze VARCHAR, gold VARCHAR, total VARCHAR, rank VARCHAR)
|
SELECT COUNT(bronze) FROM table_name_81 WHERE total < "11" AND rank = "11" AND gold < 1
|
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Who had the high assists when the score was l 85 118 (ot)
|
CREATE TABLE table_23248869_8 (
high_assists VARCHAR,
score VARCHAR
)
|
SELECT high_assists FROM table_23248869_8 WHERE score = "L 85–118 (OT)"
|
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