NATURAL_LANG
stringlengths 0
446
| SCHEMA
stringlengths 27
2.21k
| SQL
stringlengths 18
453
| input_ids
list | attention_mask
list | labels
list |
|---|---|---|---|---|---|
Which score has a Set 2 of 17–25, and a Total of 48–75?
|
CREATE TABLE table_name_10 (score VARCHAR, set_2 VARCHAR, total VARCHAR)
|
SELECT score FROM table_name_10 WHERE set_2 = "17–25" AND total = "48–75"
|
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List names for drivers from Hartford city and younger than 40.
|
CREATE TABLE driver (name VARCHAR, home_city VARCHAR, age VARCHAR)
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SELECT name FROM driver WHERE home_city = 'Hartford' AND age < 40
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What group was sunline in when he was at moonee valley?
|
CREATE TABLE table_2581397_2 (group VARCHAR, venue VARCHAR)
|
SELECT group FROM table_2581397_2 WHERE venue = "Moonee Valley"
|
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What are the year(s) of manufacture for railway number(s) 26 (ii) 63 (ii) , 188 193?
|
CREATE TABLE table_name_35 (
year_s__of_manufacture VARCHAR,
railway_number_s_ VARCHAR
)
|
SELECT year_s__of_manufacture FROM table_name_35 WHERE railway_number_s_ = "26 (ii) …63 (ii) , 188–193"
|
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count the number of patients whose gender is f and age is less than 70?
|
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
)
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.age < "70"
|
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In the game where Collingwood is the home team what is the score of the away team?
|
CREATE TABLE table_name_18 (
away_team VARCHAR,
home_team VARCHAR
)
|
SELECT away_team AS score FROM table_name_18 WHERE home_team = "collingwood"
|
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How much Against has Losses smaller than 7, and a Wimmera FL of horsham?
|
CREATE TABLE table_name_66 (against INTEGER, losses VARCHAR, wimmera_fl VARCHAR)
|
SELECT SUM(against) FROM table_name_66 WHERE losses < 7 AND wimmera_fl = "horsham"
|
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What is Gary David Saunders' Tenure?
|
CREATE TABLE table_name_23 (tenure VARCHAR, name VARCHAR)
|
SELECT tenure FROM table_name_23 WHERE name = "gary david saunders"
|
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provide the number of patients whose drug code is warf2 and lab test fluid is other body fluid?
|
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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE prescriptions.formulary_drug_cd = "WARF2" AND lab.fluid = "Other Body Fluid"
|
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What Elector was Elevated on December 18, 1182?
|
CREATE TABLE table_name_31 (elector VARCHAR, elevated VARCHAR)
|
SELECT elector FROM table_name_31 WHERE elevated = "december 18, 1182"
|
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What place is Fred Funk in?
|
CREATE TABLE table_name_30 (
place VARCHAR,
player VARCHAR
)
|
SELECT place FROM table_name_30 WHERE player = "fred funk"
|
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GT Force of no, and a Driving Force Pro of no, and a G27 Racing Wheel of no has what driving force gt?
|
CREATE TABLE table_name_2 (
driving_force_gt VARCHAR,
g27_racing_wheel VARCHAR,
gt_force VARCHAR,
driving_force_pro VARCHAR
)
|
SELECT driving_force_gt FROM table_name_2 WHERE gt_force = "no" AND driving_force_pro = "no" AND g27_racing_wheel = "no"
|
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Which average Played has a Drawn smaller than 1, and Points larger than 4?
|
CREATE TABLE table_name_83 (
played INTEGER,
drawn VARCHAR,
points VARCHAR
)
|
SELECT AVG(played) FROM table_name_83 WHERE drawn < 1 AND points > 4
|
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count the number of patients whose age is less than 59 and procedure short title is attach pedicle graft nec?
|
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.age < "59" AND procedures.short_title = "Attach pedicle graft NEC"
|
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what is the number of patients whose primary disease is mesenteric ischemia and age is less than 86?
|
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 lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "MESENTERIC ISCHEMIA" AND demographic.age < "86"
|
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Which event has a Round larger than 2?
|
CREATE TABLE table_9776 (
"Res." text,
"Record" text,
"Opponent" text,
"Method" text,
"Event" text,
"Round" real,
"Time" text,
"Location" text
)
|
SELECT "Event" FROM table_9776 WHERE "Round" > '2'
|
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what is the number of patients whose gender is f and diagnoses short title is ulcer of heel & midfoot?
|
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
)
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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.gender = "F" AND diagnoses.short_title = "Ulcer of heel & midfoot"
|
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What club has 536 points for?
|
CREATE TABLE table_13741576_6 (
club VARCHAR,
points_for VARCHAR
)
|
SELECT club FROM table_13741576_6 WHERE points_for = "536"
|
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Name the surfaace where outcome is runner-up and championship is us open
|
CREATE TABLE table_1547951_3 (surface VARCHAR, outcome VARCHAR, championship VARCHAR)
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SELECT surface FROM table_1547951_3 WHERE outcome = "Runner-up" AND championship = "US Open"
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Which player had a To par of 13?
|
CREATE TABLE table_46673 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" real,
"Money ( $ )" text
)
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SELECT "Player" FROM table_46673 WHERE "To par" = '13'
|
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What venue has 19 against?
|
CREATE TABLE table_name_47 (venue VARCHAR, against VARCHAR)
|
SELECT venue FROM table_name_47 WHERE against = 19
|
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What stamp design has a denomination of $1.18?
|
CREATE TABLE table_58443 (
"Date of Issue" text,
"Denomination" text,
"Design" text,
"Paper Type" text,
"First Day Cover Cancellation" text
)
|
SELECT "Design" FROM table_58443 WHERE "Denomination" = '$1.18'
|
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Select the names of manufacturer whose products have an average price higher than or equal to $150.
|
CREATE TABLE Manufacturers (
name VARCHAR,
code VARCHAR
)
CREATE TABLE products (
Price INTEGER,
manufacturer VARCHAR,
price INTEGER
)
|
SELECT AVG(T1.price), T2.name FROM products AS T1 JOIN Manufacturers AS T2 ON T1.manufacturer = T2.code GROUP BY T2.name HAVING AVG(T1.price) >= 150
|
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which venue hosted the largest amount of events within this table ?
|
CREATE TABLE table_203_431 (
id number,
"#" number,
"date" text,
"venue" text,
"opponent" text,
"score" text,
"result" text,
"competition" text
)
|
SELECT "venue" FROM table_203_431 GROUP BY "venue" ORDER BY COUNT(*) DESC LIMIT 1
|
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count the number of patients whose death status is 0 and diagnoses short title is hx-skin malignancy nec?
|
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 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 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.expire_flag = "0" AND diagnoses.short_title = "Hx-skin malignancy NEC"
|
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On Race 14 when the FLap is larger than 1, what is the podium number?
|
CREATE TABLE table_49304 (
"Season" text,
"Race" real,
"Podium" real,
"Pole" real,
"FLap" real
)
|
SELECT COUNT("Podium") FROM table_49304 WHERE "Race" = '14' AND "FLap" > '1'
|
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Who had 0.00% in 2004?
|
CREATE TABLE table_name_71 (party VARCHAR, results_2004 VARCHAR)
|
SELECT party FROM table_name_71 WHERE results_2004 = "0.00%"
|
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How many votes did Obama have at 32.12%
|
CREATE TABLE table_20722805_1 (obama_number INTEGER, obama_percentage VARCHAR)
|
SELECT MIN(obama_number) FROM table_20722805_1 WHERE obama_percentage = "32.12%"
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What years did the player with the jersey number bigger than 20 play?
|
CREATE TABLE table_77078 (
"Player" text,
"Nationality" text,
"Jersey Number(s)" real,
"Position" text,
"Years" text,
"From" text
)
|
SELECT "Years" FROM table_77078 WHERE "Jersey Number(s)" > '20'
|
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What is Team, when Tries Against is 8?
|
CREATE TABLE table_name_40 (team VARCHAR, tries_against VARCHAR)
|
SELECT team FROM table_name_40 WHERE tries_against = "8"
|
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If the equation is 8 × 9² + 8 × 9 + 8, what is the 2nd throw?
|
CREATE TABLE table_17265535_7 (equation VARCHAR)
|
SELECT MIN(2 AS nd_throw) FROM table_17265535_7 WHERE equation = "8 × 9² + 8 × 9 + 8"
|
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How large of a crowd can the Brunswick Street Oval hold?
|
CREATE TABLE table_53425 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
)
|
SELECT COUNT("Crowd") FROM table_53425 WHERE "Venue" = 'brunswick street oval'
|
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Which Total has a Date of 1602, and Greater Doubles smaller than 16?
|
CREATE TABLE table_64475 (
"Date" real,
"Doubles, I Class" real,
"Doubles, II Class" real,
"Greater Doubles" real,
"Doubles" real,
"Semidoubles" real,
"Total" real
)
|
SELECT MAX("Total") FROM table_64475 WHERE "Date" = '1602' AND "Greater Doubles" < '16'
|
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] |
Name the crew chief for rhonda thorson
|
CREATE TABLE table_24535095_2 (
crew_chief VARCHAR,
listed_owner_s_ VARCHAR
)
|
SELECT crew_chief FROM table_24535095_2 WHERE listed_owner_s_ = "Rhonda Thorson"
|
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how many nations won more than ten silver medals ?
|
CREATE TABLE table_204_822 (
id number,
"rank" number,
"nation" text,
"gold" number,
"silver" number,
"bronze" number,
"total" number
)
|
SELECT COUNT("nation") FROM table_204_822 WHERE "silver" > 10
|
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What is the average Lost that has a Name of ec amberg (n), and a Position smaller than 4?
|
CREATE TABLE table_name_63 (lost INTEGER, name VARCHAR, position VARCHAR)
|
SELECT AVG(lost) FROM table_name_63 WHERE name = "ec amberg (n)" AND position < 4
|
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Raiders of the Lost Ark had pieces of 277 for what lowest number?
|
CREATE TABLE table_name_8 (number INTEGER, film VARCHAR, pieces VARCHAR)
|
SELECT MIN(number) FROM table_name_8 WHERE film = "raiders of the lost ark" AND pieces = 277
|
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How many courses have more than 2 credits?
|
CREATE TABLE COURSE (Credits INTEGER)
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SELECT COUNT(*) FROM COURSE WHERE Credits > 2
|
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Tell me the pole winner of may 12
|
CREATE TABLE table_74484 (
"Date" text,
"Track" text,
"Event Name" text,
"Pole Winner" text,
"Race Winner" text
)
|
SELECT "Pole Winner" FROM table_74484 WHERE "Date" = 'may 12'
|
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Which player number is 2.10 meters tall?
|
CREATE TABLE table_582 (
"No" real,
"Player" text,
"Height" text,
"Position" text,
"Year born" real,
"Current Club" text
)
|
SELECT "No" FROM table_582 WHERE "Height" = '2.10'
|
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How long is the total lesson time took by customer with first name as Rylan and last name as Goodwin?
|
CREATE TABLE customers (
customer_id number,
customer_address_id number,
customer_status_code text,
date_became_customer time,
date_of_birth time,
first_name text,
last_name text,
amount_outstanding number,
email_address text,
phone_number text,
cell_mobile_phone_number text
)
CREATE TABLE addresses (
address_id number,
line_1_number_building text,
city text,
zip_postcode text,
state_province_county text,
country text
)
CREATE TABLE staff (
staff_id number,
staff_address_id number,
nickname text,
first_name text,
middle_name text,
last_name text,
date_of_birth time,
date_joined_staff time,
date_left_staff time
)
CREATE TABLE customer_payments (
customer_id number,
datetime_payment time,
payment_method_code text,
amount_payment number
)
CREATE TABLE lessons (
lesson_id number,
customer_id number,
lesson_status_code text,
staff_id number,
vehicle_id number,
lesson_date time,
lesson_time text,
price number
)
CREATE TABLE vehicles (
vehicle_id number,
vehicle_details text
)
|
SELECT SUM(T1.lesson_time) FROM lessons AS T1 JOIN customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.first_name = "Rylan" AND T2.last_name = "Goodwin"
|
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What is the largest amount of wins when there are less than 5 points, the class is 500cc, the team is norton, and the year is more recent than 1955?
|
CREATE TABLE table_name_1 (wins INTEGER, year VARCHAR, team VARCHAR, points VARCHAR, class VARCHAR)
|
SELECT MAX(wins) FROM table_name_1 WHERE points < 5 AND class = "500cc" AND team = "norton" AND year > 1955
|
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How many areas have a population of 703379?
|
CREATE TABLE table_2135222_2 (
area VARCHAR,
population VARCHAR
)
|
SELECT COUNT(area) FROM table_2135222_2 WHERE population = 703379
|
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What is the attendance number for December 2, 1979?
|
CREATE TABLE table_70615 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"Attendance" real
)
|
SELECT SUM("Attendance") FROM table_70615 WHERE "Date" = 'december 2, 1979'
|
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what is the played when the wins is 21 and the positions is higher than 3?
|
CREATE TABLE table_name_55 (
played INTEGER,
wins VARCHAR,
position VARCHAR
)
|
SELECT SUM(played) FROM table_name_55 WHERE wins = 21 AND position > 3
|
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What's the highest season number of an episode in the series?
|
CREATE TABLE table_10718192_2 (
no_in_season INTEGER
)
|
SELECT MAX(no_in_season) FROM table_10718192_2
|
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] |
What was the result in Pennsylvania 13?
|
CREATE TABLE table_1342256_38 (result VARCHAR, district VARCHAR)
|
SELECT result FROM table_1342256_38 WHERE district = "Pennsylvania 13"
|
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-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
find the maximum age of patients admitted in or before the year 2195 and stayed in the hospital for 30 days.
|
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 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 MAX(demographic.age) FROM demographic WHERE demographic.days_stay = "30" AND demographic.admityear >= "2195"
|
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] |
Which Pos has a Car # of 33?
|
CREATE TABLE table_name_72 (
pos INTEGER,
car__number VARCHAR
)
|
SELECT SUM(pos) FROM table_name_72 WHERE car__number = 33
|
[
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What number pick is Ray Hall?
|
CREATE TABLE table_name_91 (
pick VARCHAR,
player VARCHAR
)
|
SELECT pick FROM table_name_91 WHERE player = "ray hall"
|
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Home result of 1 0, and a Away result of 0 1 involves what club?
|
CREATE TABLE table_name_56 (
club VARCHAR,
home_result VARCHAR,
away_result VARCHAR
)
|
SELECT club FROM table_name_56 WHERE home_result = "1–0" AND away_result = "0–1"
|
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Which Format has a Region of united states, and a Catalog of kem 072?
|
CREATE TABLE table_name_61 (format VARCHAR, region VARCHAR, catalog VARCHAR)
|
SELECT format FROM table_name_61 WHERE region = "united states" AND catalog = "kem 072"
|
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What is the lowest number of losses for Nottingham City with fewer than 0 wins?
|
CREATE TABLE table_name_28 (
losses INTEGER,
team VARCHAR,
wins VARCHAR
)
|
SELECT MIN(losses) FROM table_name_28 WHERE team = "nottingham city" AND wins < 0
|
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For all employees who have the letters D or S in their first name, return a bar chart about the distribution of hire_date and the average of manager_id bin hire_date by weekday, and could you order the average of manager id in ascending order?
|
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
|
SELECT HIRE_DATE, AVG(MANAGER_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY AVG(MANAGER_ID)
|
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How many patients diagnosed with arthropathy unspecified and site unspecified had an urobilinogen lab test?
|
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 INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Arthropathy NOS-unspec" AND lab.label = "Urobilinogen"
|
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what is the number of patients with diagnoses icd9 code 41031 who had ascitic lab fluid test?
|
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
)
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
)
|
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.icd9_code = "41031" AND lab.fluid = "Ascites"
|
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] |
What are the memories and carriers of phones, could you sort total number in desc order please?
|
CREATE TABLE phone_market (
Market_ID int,
Phone_ID text,
Num_of_stock int
)
CREATE TABLE phone (
Name text,
Phone_ID int,
Memory_in_G int,
Carrier text,
Price real
)
CREATE TABLE market (
Market_ID int,
District text,
Num_of_employees int,
Num_of_shops real,
Ranking int
)
|
SELECT Carrier, SUM(Memory_in_G) FROM phone GROUP BY Carrier ORDER BY SUM(Memory_in_G) DESC
|
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what is the name a[ ] when the borough or a[ ] census area is ketchikan gateway and the dam or a[ ] reservoir is reservoir?
|
CREATE TABLE table_14300 (
"Name A[\u203a ]" text,
"Dam or A[\u203a ] Reservoir" text,
"GNIS Feature ID # Link A[\u203a ] B[\u203a ]" real,
"Elevation A[\u203a ]" text,
"Borough or A[\u203a ] Census area" text
)
|
SELECT "Name A[\u203a ]" FROM table_14300 WHERE "Borough or A[\u203a ] Census area" = 'ketchikan gateway' AND "Dam or A[\u203a ] Reservoir" = 'reservoir'
|
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How many values for attendance correspond to the 1986 Peach Bowl?
|
CREATE TABLE table_15647838_3 (attendance VARCHAR, bowl_game VARCHAR)
|
SELECT COUNT(attendance) FROM table_15647838_3 WHERE bowl_game = "1986 Peach Bowl"
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What title runs for 3:22?
|
CREATE TABLE table_name_5 (
title VARCHAR,
time VARCHAR
)
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SELECT title FROM table_name_5 WHERE time = "3:22"
|
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what is the report called where the circuit took place at the nazareth speedway?
|
CREATE TABLE table_16257 (
"Rnd" text,
"Race Name" text,
"Circuit" text,
"City/Location" text,
"Date" text,
"Pole position" text,
"Winning driver" text,
"Winning team" text,
"Report" text
)
|
SELECT "Report" FROM table_16257 WHERE "Circuit" = 'Nazareth Speedway'
|
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Which location has the promotor Frank Moloney, and the opponent Gennadiy Rasalev?
|
CREATE TABLE table_name_21 (location VARCHAR, promotor VARCHAR, opponent VARCHAR)
|
SELECT location FROM table_name_21 WHERE promotor = "frank moloney" AND opponent = "gennadiy rasalev"
|
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How many times was performer 3 Kate Robbins?
|
CREATE TABLE table_14934885_1 (date VARCHAR, performer_3 VARCHAR)
|
SELECT COUNT(date) FROM table_14934885_1 WHERE performer_3 = "Kate Robbins"
|
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give me the number of patients whose discharge location is home health care and diagnoses long title is psoas muscle abscess?
|
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.discharge_location = "HOME HEALTH CARE" AND diagnoses.long_title = "Psoas muscle abscess"
|
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How many calibers require the type LB/RN?
|
CREATE TABLE table_21538523_1 (
caliber VARCHAR,
type VARCHAR
)
|
SELECT COUNT(caliber) FROM table_21538523_1 WHERE type = "LB/RN"
|
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Result of missed*, and a Game time of 2nd quarter (0:00), and a Kicker of mason crosby involves what date?
|
CREATE TABLE table_35081 (
"Date" text,
"Kicker" text,
"Kicking team" text,
"Opponent" text,
"Yards" real,
"Result" text,
"Game time" text
)
|
SELECT "Date" FROM table_35081 WHERE "Result" = 'missed*' AND "Game time" = '2nd quarter (0:00)' AND "Kicker" = 'mason crosby'
|
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What is College/Junior/Club Team (League), when Position is 'Defence', when Nationality is 'Canada', when Round is less than 5, and when Player is 'Josiah Didier'?
|
CREATE TABLE table_name_18 (
college_junior_club_team__league_ VARCHAR,
player VARCHAR,
round VARCHAR,
position VARCHAR,
nationality VARCHAR
)
|
SELECT college_junior_club_team__league_ FROM table_name_18 WHERE position = "defence" AND nationality = "canada" AND round < 5 AND player = "josiah didier"
|
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Which opponent played on July 15?
|
CREATE TABLE table_name_3 (opponent VARCHAR, date VARCHAR)
|
SELECT opponent FROM table_name_3 WHERE date = "july 15"
|
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Which Attendance has a Date of november 19, 1961?
|
CREATE TABLE table_77173 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"Attendance" real
)
|
SELECT MIN("Attendance") FROM table_77173 WHERE "Date" = 'november 19, 1961'
|
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provide the number of patients whose diagnosis short title is acute kidney failure nos and drug route is nu.
|
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 demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
|
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.short_title = "Acute kidney failure NOS" AND prescriptions.route = "NU"
|
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what is the number of patients with unspecified osteomyelitis, other specified sites who were hospitalized for more than 4 days?
|
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 prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.days_stay > "4" AND diagnoses.long_title = "Unspecified osteomyelitis, other specified sites"
|
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Which country is the director Roland Verhavert from?
|
CREATE TABLE table_80035 (
"Country" text,
"Film title used in nomination" text,
"Language" text,
"Original name" text,
"Director" text
)
|
SELECT "Country" FROM table_80035 WHERE "Director" = 'roland verhavert'
|
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Which Round is pick 112 in?
|
CREATE TABLE table_name_2 (round VARCHAR, pick VARCHAR)
|
SELECT round FROM table_name_2 WHERE pick = 112
|
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What are the number of the name of rooms booked by customers whose first name has 'ROY' in part?, list y axis in ascending order.
|
CREATE TABLE Reservations (
Code INTEGER,
Room TEXT,
CheckIn TEXT,
CheckOut TEXT,
Rate REAL,
LastName TEXT,
FirstName TEXT,
Adults INTEGER,
Kids INTEGER
)
CREATE TABLE Rooms (
RoomId TEXT,
roomName TEXT,
beds INTEGER,
bedType TEXT,
maxOccupancy INTEGER,
basePrice INTEGER,
decor TEXT
)
|
SELECT roomName, COUNT(roomName) FROM Reservations AS T1 JOIN Rooms AS T2 ON T1.Room = T2.RoomId WHERE FirstName LIKE '%ROY%' GROUP BY roomName ORDER BY COUNT(roomName)
|
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what is drug route of subject id 6983?
|
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
)
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 prescriptions.route FROM prescriptions WHERE prescriptions.subject_id = "6983"
|
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Tell me the total number of positions with goal difference more than -17 and played less than 38
|
CREATE TABLE table_name_12 (
position VARCHAR,
goal_difference VARCHAR,
played VARCHAR
)
|
SELECT COUNT(position) FROM table_name_12 WHERE goal_difference > -17 AND played < 38
|
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Who were the partners in 2012?
|
CREATE TABLE table_2259502_2 (
partner VARCHAR,
year VARCHAR
)
|
SELECT partner FROM table_2259502_2 WHERE year = 2012
|
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Who had all of the blocks in 2012?
|
CREATE TABLE table_13050003_2 (blocks VARCHAR, year VARCHAR)
|
SELECT blocks FROM table_13050003_2 WHERE year = 2012
|
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Show the budget type code and description and the corresponding document id.
|
CREATE TABLE Ref_budget_codes (budget_type_code VARCHAR, budget_type_description VARCHAR); CREATE TABLE Documents_with_expenses (document_id VARCHAR, budget_type_code VARCHAR)
|
SELECT T2.budget_type_code, T2.budget_type_description, T1.document_id FROM Documents_with_expenses AS T1 JOIN Ref_budget_codes AS T2 ON T1.budget_type_code = T2.budget_type_code
|
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What is the average loss with a goal higher than 51 and wins higher than 14?
|
CREATE TABLE table_80130 (
"Position" real,
"Club" text,
"Played" real,
"Points" text,
"Wins" real,
"Draws" real,
"Losses" real,
"Goals for" real,
"Goals against" real,
"Goal Difference" real
)
|
SELECT AVG("Losses") FROM table_80130 WHERE "Goals against" > '51' AND "Wins" > '14'
|
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What is the score when the attendance is greater than 134 and Workington is the home team?
|
CREATE TABLE table_12565 (
"Tie no" real,
"Home team" text,
"Score" text,
"Away team" text,
"Attendance" real
)
|
SELECT "Score" FROM table_12565 WHERE "Attendance" > '134' AND "Home team" = 'workington'
|
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What game in the season does this list start?
|
CREATE TABLE table_27713030_7 (game INTEGER)
|
SELECT MIN(game) FROM table_27713030_7
|
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What were the dates of the games where Jalen Rose (32) had the highest points?
|
CREATE TABLE table_15872814_5 (
date VARCHAR,
high_points VARCHAR
)
|
SELECT date FROM table_15872814_5 WHERE high_points = "Jalen Rose (32)"
|
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Find the ids of the problems that are reported by the staff whose last name is Bosco.
|
CREATE TABLE problems (
problem_id number,
product_id number,
closure_authorised_by_staff_id number,
reported_by_staff_id number,
date_problem_reported time,
date_problem_closed time,
problem_description text,
other_problem_details text
)
CREATE TABLE staff (
staff_id number,
staff_first_name text,
staff_last_name text,
other_staff_details text
)
CREATE TABLE problem_category_codes (
problem_category_code text,
problem_category_description text
)
CREATE TABLE product (
product_id number,
product_name text,
product_details text
)
CREATE TABLE problem_log (
problem_log_id number,
assigned_to_staff_id number,
problem_id number,
problem_category_code text,
problem_status_code text,
log_entry_date time,
log_entry_description text,
log_entry_fix text,
other_log_details text
)
CREATE TABLE problem_status_codes (
problem_status_code text,
problem_status_description text
)
|
SELECT T1.problem_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE T2.staff_last_name = "Bosco"
|
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] |
List the studios which average gross is above 4500000.
|
CREATE TABLE market (
market_id number,
country text,
number_cities number
)
CREATE TABLE film_market_estimation (
estimation_id number,
low_estimate number,
high_estimate number,
film_id number,
type text,
market_id number,
year number
)
CREATE TABLE film (
film_id number,
title text,
studio text,
director text,
gross_in_dollar number
)
|
SELECT studio FROM film GROUP BY studio HAVING AVG(gross_in_dollar) >= 4500000
|
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When was the original air date written by michael s. chernuchin & joe morgenstern?
|
CREATE TABLE table_28377 (
"No. in series" real,
"No. in season" real,
"Title" text,
"Directed by" text,
"Written by" text,
"Original air date" text,
"Production code" real
)
|
SELECT "Original air date" FROM table_28377 WHERE "Written by" = 'Michael S. Chernuchin & Joe Morgenstern'
|
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When the Away team was hawthorn, what's the Home team?
|
CREATE TABLE table_name_84 (
home_team VARCHAR,
away_team VARCHAR
)
|
SELECT home_team FROM table_name_84 WHERE away_team = "hawthorn"
|
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What School did Terrence Jones play for?
|
CREATE TABLE table_51717 (
"Player" text,
"Height" text,
"School" text,
"Hometown" text,
"College" text,
"NBA Draft" text
)
|
SELECT "School" FROM table_51717 WHERE "Player" = 'terrence jones'
|
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did it take scott rudin more or less than 30 years to complete egot ?
|
CREATE TABLE table_204_673 (
id number,
"name" text,
"egot completed" text,
"emmy" number,
"grammy" number,
"oscar" number,
"tony" number
)
|
SELECT (SELECT "egot completed" FROM table_204_673 WHERE "name" = 'scott rudin') > 30
|
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How many series numbers are there when there were 15.8 u.s. viewers (millions)?
|
CREATE TABLE table_27833469_1 (series__number VARCHAR, us_viewers__millions_ VARCHAR)
|
SELECT COUNT(series__number) FROM table_27833469_1 WHERE us_viewers__millions_ = "15.8"
|
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[
3,
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14196,
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17161,
599,
10833,
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834,
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5525,
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61,
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-100,
-100,
-100
] |
What is the maximum number of wins?
|
CREATE TABLE table_28447 (
"Season" real,
"Series" text,
"Team" text,
"Races" real,
"Wins" real,
"Poles" real,
"F/Laps" real,
"Podiums" real,
"Points" text,
"Position" text
)
|
SELECT MAX("Wins") FROM table_28447
|
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32100,
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32102,
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4386,
6048,
332,
17098,
953,
834,
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96,
134,
15,
9,
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61,
3,
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19,
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381,
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What is the number of laps of the grid larger than 22 with a +1:29.001 time?
|
CREATE TABLE table_name_44 (laps VARCHAR, grid VARCHAR, time VARCHAR)
|
SELECT laps FROM table_name_44 WHERE grid > 22 AND time = "+1:29.001"
|
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If a team has a grid of over 8 with less than 4 points, what's the team name?
|
CREATE TABLE table_name_31 (
team VARCHAR,
grid VARCHAR,
points VARCHAR
)
|
SELECT team FROM table_name_31 WHERE grid > 8 AND points < 4
|
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Who is the forward from Grambling State?
|
CREATE TABLE table_name_24 (player VARCHAR, position VARCHAR, school_club_team VARCHAR)
|
SELECT player FROM table_name_24 WHERE position = "forward" AND school_club_team = "grambling state"
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I want the site for september 29, 2013
|
CREATE TABLE table_name_51 (
site VARCHAR,
date VARCHAR
)
|
SELECT site FROM table_name_51 WHERE date = "september 29, 2013"
|
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What year was Barclay Henley first elected?
|
CREATE TABLE table_name_77 (
first_elected VARCHAR,
incumbent VARCHAR
)
|
SELECT COUNT(first_elected) FROM table_name_77 WHERE incumbent = "barclay henley"
|
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Who is the academic & University affairs when the Human resources & operations is N. Charles Hamilton?
|
CREATE TABLE table_12113818_1 (
academic_ VARCHAR,
_university_affairs VARCHAR,
human_resources_ VARCHAR,
_operations VARCHAR
)
|
SELECT academic_ & _university_affairs FROM table_12113818_1 WHERE human_resources_ & _operations = "N. Charles Hamilton"
|
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For all employees who have the letters D or S in their first name, a bar chart shows the distribution of hire_date and the average of manager_id bin hire_date by weekday, rank in descending by the y axis.
|
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
|
SELECT HIRE_DATE, AVG(MANAGER_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY AVG(MANAGER_ID) DESC
|
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Which Surface has a Semifinalist of stefan edberg thomas muster?
|
CREATE TABLE table_name_98 (
surface VARCHAR,
semifinalists VARCHAR
)
|
SELECT surface FROM table_name_98 WHERE semifinalists = "stefan edberg thomas muster"
|
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How many points were there when tries for were 84?
|
CREATE TABLE table_17369472_2 (
points VARCHAR,
tries_for VARCHAR
)
|
SELECT points FROM table_17369472_2 WHERE tries_for = "84"
|
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