NATURAL_LANG
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446
| SCHEMA
stringlengths 27
2.21k
| SQL
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453
| input_ids
list | attention_mask
list | labels
list |
|---|---|---|---|---|---|
For the game that had an end record of 2-4, who was the high points scorer?
|
CREATE TABLE table_name_69 (
high_points VARCHAR,
record VARCHAR
)
|
SELECT high_points FROM table_name_69 WHERE record = "2-4"
|
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provide the number of patients whose age is less than 27 and days of hospital stay is greater than 16?
|
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 prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.age < "27" AND demographic.days_stay > "16"
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Can you tell me Location Attendance that has the High points of andrew bogut (17)?
|
CREATE TABLE table_9910 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High assists" text,
"Location Attendance" text,
"Record" text
)
|
SELECT "Location Attendance" FROM table_9910 WHERE "High points" = 'andrew bogut (17)'
|
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tell me the number of patients admitted before the year 2145 who have diagnoses icd9 code 58089.
|
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
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2145" AND diagnoses.icd9_code = "58089"
|
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What episode number in the series originally aired on April 27, 1999?
|
CREATE TABLE table_228973_5 (
no_in_series INTEGER,
original_air_date VARCHAR
)
|
SELECT MAX(no_in_series) FROM table_228973_5 WHERE original_air_date = "April 27, 1999"
|
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] |
Give me the comparison about meter_100 over the meter_600 , display X in descending order.
|
CREATE TABLE event (
ID int,
Name text,
Stadium_ID int,
Year text
)
CREATE TABLE stadium (
ID int,
name text,
Capacity int,
City text,
Country text,
Opening_year int
)
CREATE TABLE record (
ID int,
Result text,
Swimmer_ID int,
Event_ID int
)
CREATE TABLE swimmer (
ID int,
name text,
Nationality text,
meter_100 real,
meter_200 text,
meter_300 text,
meter_400 text,
meter_500 text,
meter_600 text,
meter_700 text,
Time text
)
|
SELECT meter_600, meter_100 FROM swimmer ORDER BY meter_600 DESC
|
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] |
Look for location and time of admission for the patient with patient id 22377.
|
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 demographic.admission_location, demographic.admittime FROM demographic WHERE demographic.subject_id = "22377"
|
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Who was the presenter on Friday of the series in which Alice Levine Jamie East presented on Sunday?
|
CREATE TABLE table_11579 (
"Series" text,
"Monday" text,
"Tuesday" text,
"Wednesday" text,
"Thursday" text,
"Friday" text,
"Saturday" text,
"Sunday" text
)
|
SELECT "Friday" FROM table_11579 WHERE "Sunday" = 'alice levine jamie east'
|
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what is the venue when the runner-up is 20,000, the champion (average in final) is phil taylor (109.35)?
|
CREATE TABLE table_name_86 (
venue VARCHAR,
runner_up VARCHAR,
champion__average_in_final_ VARCHAR
)
|
SELECT venue FROM table_name_86 WHERE runner_up = "£20,000" AND champion__average_in_final_ = "phil taylor (109.35)"
|
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hba1c 6.5 % _ _ 10 %
|
CREATE TABLE table_train_255 (
"id" int,
"ldl_cholesterol" int,
"hemoglobin_a1c_hba1c" float,
"body_weight" float,
"urine_albumin_to_creatinine_ratio_uacr" int,
"hba1c" float,
"body_mass_index_bmi" float,
"triglyceride_tg" float,
"age" float,
"NOUSE" float
)
|
SELECT * FROM table_train_255 WHERE hba1c >= 6.5 AND hemoglobin_a1c_hba1c <= 10
|
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Which season had a home 2-3?
|
CREATE TABLE table_name_2 (season VARCHAR, home VARCHAR)
|
SELECT season FROM table_name_2 WHERE home = "2-3"
|
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How many calories is 1 watt hour?
|
CREATE TABLE table_78629 (
"joule" text,
"watt hour" text,
"kilowatt hour" text,
"electronvolt" text,
"calorie" text
)
|
SELECT "calorie" FROM table_78629 WHERE "watt hour" = '1'
|
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What is the average change to have a land area of 546.74 and a population density greater than 0.5?
|
CREATE TABLE table_name_51 (
change___percentage_ INTEGER,
land_area__km²_ VARCHAR,
population_density__per_km²_ VARCHAR
)
|
SELECT AVG(change___percentage_) FROM table_name_51 WHERE land_area__km²_ = 546.74 AND population_density__per_km²_ > 0.5
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On October 17, 1937 what was maximum number or attendants.
|
CREATE TABLE table_72571 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"Game site" text,
"Record" text,
"Attendance" real
)
|
SELECT MAX("Attendance") FROM table_72571 WHERE "Date" = 'October 17, 1937'
|
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Which Reigns has 92 days held?
|
CREATE TABLE table_name_53 (reigns VARCHAR, days_held VARCHAR)
|
SELECT reigns FROM table_name_53 WHERE days_held = 92
|
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A bar chart for what are the number of the first names of all students in Smith Hall?
|
CREATE TABLE Dorm (
dormid INTEGER,
dorm_name VARCHAR(20),
student_capacity INTEGER,
gender VARCHAR(1)
)
CREATE TABLE Dorm_amenity (
amenid INTEGER,
amenity_name VARCHAR(25)
)
CREATE TABLE Has_amenity (
dormid INTEGER,
amenid 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)
)
CREATE TABLE Lives_in (
stuid INTEGER,
dormid INTEGER,
room_number INTEGER
)
|
SELECT Fname, COUNT(Fname) FROM Student AS T1 JOIN Lives_in AS T2 ON T1.stuid = T2.stuid JOIN Dorm AS T3 ON T3.dormid = T2.dormid WHERE T3.dorm_name = 'Smith Hall' GROUP BY Fname
|
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From which country was Sodje loaned?
|
CREATE TABLE table_name_88 (country VARCHAR, name VARCHAR)
|
SELECT country FROM table_name_88 WHERE name = "sodje"
|
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What is the Region of the Warner Music Canada Label release?
|
CREATE TABLE table_name_29 (
region VARCHAR,
label VARCHAR
)
|
SELECT region FROM table_name_29 WHERE label = "warner music canada"
|
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What hand guard system is used with a gas piston commando?
|
CREATE TABLE table_12834315_5 (
hand_guards VARCHAR,
name VARCHAR
)
|
SELECT hand_guards FROM table_12834315_5 WHERE name = "Gas Piston Commando"
|
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What is the latest year that data is available for?
|
CREATE TABLE table_25414 (
"Year" real,
"Majors" real,
"ATP wins" real,
"Total wins" real,
"Earnings ($)" real,
"Money list rank" real
)
|
SELECT MAX("Year") FROM table_25414
|
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Provide the number of patients who were admitted before the year 2146 and had procedure short title as cardiopulm resuscita nos.
|
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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admityear < "2146" AND procedures.short_title = "Cardiopulm resuscita NOS"
|
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[
3,
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2847,
17161,
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15438,
25424,
6227,
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5,
7304,
11827,
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] |
What Entrant older than 1950 has points smaller than 7?
|
CREATE TABLE table_70206 (
"Year" real,
"Entrant" text,
"Chassis" text,
"Engine" text,
"Points" real
)
|
SELECT "Entrant" FROM table_70206 WHERE "Year" > '1950' AND "Points" < '7'
|
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How many different cities do have some airport in the country of Greenland?
|
CREATE TABLE airlines (
alid number,
name text,
iata text,
icao text,
callsign text,
country text,
active text
)
CREATE TABLE routes (
rid number,
dst_apid number,
dst_ap text,
src_apid number,
src_ap text,
alid number,
airline text,
codeshare text
)
CREATE TABLE airports (
apid number,
name text,
city text,
country text,
x number,
y number,
elevation number,
iata text,
icao text
)
|
SELECT COUNT(DISTINCT city) FROM airports WHERE country = 'Greenland'
|
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
give the number of patients under the age of 86 whose religion is unknown.
|
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
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.religion = "UNOBTAINABLE" AND demographic.age < "86"
|
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5,
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] |
What were the supersonics record at game 2?
|
CREATE TABLE table_28768469_5 (record VARCHAR, game VARCHAR)
|
SELECT record FROM table_28768469_5 WHERE game = 2
|
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What episode has a run time of 25:12?
|
CREATE TABLE table_name_51 (
episode VARCHAR,
run_time VARCHAR
)
|
SELECT episode FROM table_name_51 WHERE run_time = "25:12"
|
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What is the highest rank of an athlete from Switzerland in a heat larger than 3?
|
CREATE TABLE table_name_54 (
rank INTEGER,
heat VARCHAR,
nationality VARCHAR
)
|
SELECT MAX(rank) FROM table_name_54 WHERE heat > 3 AND nationality = "switzerland"
|
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how many times did franz race with his simca 2.0 l engine ?
|
CREATE TABLE table_204_864 (
id number,
"pos" number,
"class" text,
"no" number,
"team" text,
"drivers" text,
"chassis" text,
"engine" text
)
|
SELECT COUNT(*) FROM table_204_864 WHERE "drivers" = 'franz hummel' AND "engine" = 'roc-simca 2.0l i4'
|
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Which Name had a Rank of 18 Out of a number smaller than 149?
|
CREATE TABLE table_40572 (
"Name" text,
"Rank" real,
"Out of" real,
"Source" text,
"Year" text
)
|
SELECT "Name" FROM table_40572 WHERE "Out of" < '149' AND "Rank" = '18'
|
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Name the unemployment rate for botetourt
|
CREATE TABLE table_22815568_12 (
unemployment_rate VARCHAR,
county VARCHAR
)
|
SELECT unemployment_rate FROM table_22815568_12 WHERE county = "Botetourt"
|
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Name the first elected for abner j. mikva
|
CREATE TABLE table_1341672_14 (
first_elected VARCHAR,
incumbent VARCHAR
)
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SELECT first_elected FROM table_1341672_14 WHERE incumbent = "Abner J. Mikva"
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What is the mean evening gown number when the average is 8.686?
|
CREATE TABLE table_11397 (
"State" text,
"Interview" real,
"Swimsuit" real,
"Evening Gown" real,
"Average" real
)
|
SELECT AVG("Evening Gown") FROM table_11397 WHERE "Average" = '8.686'
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how many patients are born before 2049 and followed the procedure insertion of drug-eluting coronary artery stent(s)?
|
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
)
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.dob_year < "2049" AND procedures.long_title = "Insertion of drug-eluting coronary artery stent(s)"
|
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-100
] |
What is the Team with a Score that is w 101 97 (2ot)?
|
CREATE TABLE table_40501 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"Location Attendance" text,
"Record" text
)
|
SELECT "Team" FROM table_40501 WHERE "Score" = 'w 101–97 (2ot)'
|
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] |
Which Opponent had a Surface of hard, and a Partner of maria elena camerin?
|
CREATE TABLE table_name_26 (
opponent VARCHAR,
surface VARCHAR,
partner VARCHAR
)
|
SELECT opponent FROM table_name_26 WHERE surface = "hard" AND partner = "maria elena camerin"
|
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how many millions of spectator did has the episode whose prod.code was rp#213?
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CREATE TABLE table_23117208_3 (
viewers__millions_ VARCHAR,
prod_code VARCHAR
)
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SELECT viewers__millions_ FROM table_23117208_3 WHERE prod_code = "RP#213"
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Name the D 43 when it has D 46 of d 26
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CREATE TABLE table_name_89 (
d_43_√ VARCHAR,
d_46_√ VARCHAR
)
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SELECT d_43_√ FROM table_name_89 WHERE d_46_√ = "d 26"
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What opponent has a record of 6-9?
|
CREATE TABLE table_name_27 (
opponent VARCHAR,
record VARCHAR
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SELECT opponent FROM table_name_27 WHERE record = "6-9"
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what is the highest fa cup goals when flt goals is more than 0?
|
CREATE TABLE table_name_96 (
fa_cup_goals INTEGER,
flt_goals INTEGER
)
|
SELECT MAX(fa_cup_goals) FROM table_name_96 WHERE flt_goals > 0
|
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Name the total number of wickets being yuvraj singh
|
CREATE TABLE table_72704 (
"Name" text,
"Overs Bowled" text,
"Maidens" real,
"Runs Conceded" real,
"Wickets" real,
"Extras" real,
"E.R." text
)
|
SELECT COUNT("Wickets") FROM table_72704 WHERE "Name" = 'Yuvraj Singh'
|
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Show publishers with a book published in 1989 and a book in 1990.
|
CREATE TABLE book_club (
publisher VARCHAR,
YEAR VARCHAR
)
|
SELECT publisher FROM book_club WHERE YEAR = 1989 INTERSECT SELECT publisher FROM book_club WHERE YEAR = 1990
|
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What is the lowest overall number of hurricanes?
|
CREATE TABLE table_2930244_3 (number_of_hurricanes INTEGER)
|
SELECT MIN(number_of_hurricanes) FROM table_2930244_3
|
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What is the launched date of the station in cora huichol tepehuano nahuatl language?
|
CREATE TABLE table_39697 (
"Call sign" text,
"Launched" text,
"Transmitting from" text,
"Coverage" text,
"Languages" text,
"Frequency" text
)
|
SELECT "Launched" FROM table_39697 WHERE "Languages" = 'cora huichol tepehuano nahuatl'
|
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What is the rank of manager Rob Mcdonald?
|
CREATE TABLE table_1218784_1 (
rank VARCHAR,
manager VARCHAR
)
|
SELECT COUNT(rank) FROM table_1218784_1 WHERE manager = "Rob McDonald"
|
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What position does Christian Leibl-Cote play?
|
CREATE TABLE table_72145 (
"Pick #" real,
"CFL Team" text,
"Player" text,
"Position" text,
"College" text
)
|
SELECT "Position" FROM table_72145 WHERE "Player" = 'Christian Leibl-Cote'
|
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What was the position of the Racing Organisation Course team?
|
CREATE TABLE table_67778 (
"Year" real,
"Team" text,
"Co-Drivers" text,
"Class" text,
"Laps" real,
"Pos." text,
"Class Pos." text
)
|
SELECT "Pos." FROM table_67778 WHERE "Team" = 'racing organisation course'
|
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What is the total area of the Arkansas River outlet with a % in-state of a021 100%?
|
CREATE TABLE table_name_61 (
total_area VARCHAR,
outlet VARCHAR,
_percentage_in_state VARCHAR
)
|
SELECT total_area FROM table_name_61 WHERE outlet = "arkansas river" AND _percentage_in_state = "a021 100%"
|
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] |
Count the number of markets that have a number of cities lower than 300.
|
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
)
CREATE TABLE market (
market_id number,
country text,
number_cities number
)
|
SELECT COUNT(*) FROM market WHERE number_cities < 300
|
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32102,
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332,
17098,
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2847,
17161,
599,
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Name the 2006 with 2003 of a and 2012 of a
|
CREATE TABLE table_name_1 (Id VARCHAR)
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SELECT 2006 FROM table_name_1 WHERE 2003 = "a" AND 2012 = "a"
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Which Place has a Player of lee trevino?
|
CREATE TABLE table_9564 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" text
)
|
SELECT "Place" FROM table_9564 WHERE "Player" = 'lee trevino'
|
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How many rebounds have a Player of herb estes?
|
CREATE TABLE table_48226 (
"Rank" real,
"Player" text,
"Years" text,
"Games" real,
"Reb. Avg." real,
"Total Rebounds" real
)
|
SELECT COUNT("Total Rebounds") FROM table_48226 WHERE "Player" = 'herb estes'
|
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List the first and last names of all distinct staff members who are assigned to the problem whose id is 1.
|
CREATE TABLE problem_log (assigned_to_staff_id VARCHAR, problem_id VARCHAR); CREATE TABLE staff (staff_id VARCHAR)
|
SELECT DISTINCT staff_first_name, staff_last_name FROM staff AS T1 JOIN problem_log AS T2 ON T1.staff_id = T2.assigned_to_staff_id WHERE T2.problem_id = 1
|
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Which competition did the toronto city saints win?
|
CREATE TABLE table_25735_1 (
competition VARCHAR,
winner VARCHAR
)
|
SELECT competition FROM table_25735_1 WHERE winner = "Toronto City Saints"
|
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What is the nationality of the player from Vancouver Canucks?
|
CREATE TABLE table_1013129_3 (nationality VARCHAR, nhl_team VARCHAR)
|
SELECT nationality FROM table_1013129_3 WHERE nhl_team = "Vancouver Canucks"
|
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How many age figures for the player fired in week 6?
|
CREATE TABLE table_24501530_1 (
age VARCHAR,
result VARCHAR
)
|
SELECT COUNT(age) FROM table_24501530_1 WHERE result = "Fired in week 6"
|
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What country was the film made in that was made after 2011?
|
CREATE TABLE table_name_10 (
country VARCHAR,
year INTEGER
)
|
SELECT country FROM table_name_10 WHERE year > 2011
|
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Name the opponent for 9 november 1991
|
CREATE TABLE table_37066 (
"Date" text,
"Opponent" text,
"Venue" text,
"Result" text,
"Attendance" real
)
|
SELECT "Opponent" FROM table_37066 WHERE "Date" = '9 november 1991'
|
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Failures larger than 0, and a Successes of 1 has what lowest partial failures?
|
CREATE TABLE table_name_64 (
partial_failures INTEGER,
failures VARCHAR,
successes VARCHAR
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|
SELECT MIN(partial_failures) FROM table_name_64 WHERE failures > 0 AND successes = 1
|
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Who was eliminated from the competition when pau proceed to the quarter final?
|
CREATE TABLE table_3969 (
"Proceed to Quarter-final" text,
"Match points" text,
"Aggregate score" text,
"Points margin" real,
"Eliminated from competition" text
)
|
SELECT "Eliminated from competition" FROM table_3969 WHERE "Proceed to Quarter-final" = 'Pau'
|
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give me the number of patients whose religion is greek orthodox and diagnoses long title is physical restraints status?
|
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.religion = "GREEK ORTHODOX" AND diagnoses.long_title = "Physical restraints status"
|
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What is the Atlantic Europe when age is 10,000 years?
|
CREATE TABLE table_22860_1 (atlantic_europe VARCHAR, age__before_ VARCHAR)
|
SELECT atlantic_europe FROM table_22860_1 WHERE age__before_ = "10,000 years"
|
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Return the name of the heaviest entrepreneur.
|
CREATE TABLE entrepreneur (
entrepreneur_id number,
people_id number,
company text,
money_requested number,
investor text
)
CREATE TABLE people (
people_id number,
name text,
height number,
weight number,
date_of_birth text
)
|
SELECT T2.name FROM entrepreneur AS T1 JOIN people AS T2 ON T1.people_id = T2.people_id ORDER BY T2.weight DESC LIMIT 1
|
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When alvin and the chipmunks meet frankenstein, what was the role?
|
CREATE TABLE table_name_99 (
role VARCHAR,
title VARCHAR
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|
SELECT role FROM table_name_99 WHERE title = "alvin and the chipmunks meet frankenstein"
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Which barony contains a townland with an area 24 acres?
|
CREATE TABLE table_4286 (
"Townland" text,
"Area( acres )" real,
"Barony" text,
"Civil parish" text,
"Poor law union" text
)
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SELECT "Barony" FROM table_4286 WHERE "Area( acres )" = '24'
|
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What was the Tie no when the Home team was Ramsgate?
|
CREATE TABLE table_name_20 (tie_no VARCHAR, home_team VARCHAR)
|
SELECT tie_no FROM table_name_20 WHERE home_team = "ramsgate"
|
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What is the time for 18 laps and 5 grids?
|
CREATE TABLE table_name_52 (time VARCHAR, laps VARCHAR, grid VARCHAR)
|
SELECT time FROM table_name_52 WHERE laps = 18 AND grid = 5
|
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in how many years was the finish 7th ?
|
CREATE TABLE table_204_939 (
id number,
"year" number,
"chassis" text,
"engine" text,
"start" text,
"finish" text
)
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SELECT COUNT("year") FROM table_204_939 WHERE "finish" = 7
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What is the total number of # Of Prefectural Votes, when # Of Seats Won is greater than 69, and when Leader is Yasuhiro Nakasone?
|
CREATE TABLE table_name_54 (
_number_of_prefectural_votes VARCHAR,
_number_of_seats_won VARCHAR,
leader VARCHAR
)
|
SELECT COUNT(_number_of_prefectural_votes) FROM table_name_54 WHERE _number_of_seats_won > 69 AND leader = "yasuhiro nakasone"
|
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If team two is Lan s, what was the total number of points?
|
CREATE TABLE table_21071 (
"Team #1" text,
"Points" text,
"Team #2" text,
"1st leg" text,
"2nd leg" text
)
|
SELECT COUNT("Points") FROM table_21071 WHERE "Team #2" = 'Lanús'
|
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What event had the opponent Ryan Bow?
|
CREATE TABLE table_name_89 (
event VARCHAR,
opponent VARCHAR
)
|
SELECT event FROM table_name_89 WHERE opponent = "ryan bow"
|
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What is the percent of republicans with 7/6 democrat/republican?
|
CREATE TABLE table_52942 (
"State ranked in partisan order" text,
"Percentage Democrats" text,
"Percentage Republicans" text,
"Democratic/ Republican" text,
"Democratic seat plurality" text
)
|
SELECT "Percentage Republicans" FROM table_52942 WHERE "Democratic/ Republican" = '7/6'
|
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What year is the death for a birth of 1873 and higher than rank 28?
|
CREATE TABLE table_name_74 (death VARCHAR, birth VARCHAR, rank VARCHAR)
|
SELECT death FROM table_name_74 WHERE birth = 1873 AND rank > 28
|
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What is the score from the 21-27 Record?
|
CREATE TABLE table_name_96 (
score VARCHAR,
record VARCHAR
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SELECT score FROM table_name_96 WHERE record = "21-27"
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Which category was Dev Patel nominated for?
|
CREATE TABLE table_name_61 (
category VARCHAR,
winner_nominee_s_ VARCHAR
)
|
SELECT category FROM table_name_61 WHERE winner_nominee_s_ = "dev patel"
|
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Name the opponent for december 8
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CREATE TABLE table_17924362_1 (opponent VARCHAR, date VARCHAR)
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SELECT opponent FROM table_17924362_1 WHERE date = "December 8"
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What circuit has qualifying as the session?
|
CREATE TABLE table_48642 (
"Discipline" text,
"Circuit" text,
"Event" text,
"Session" text,
"Cause" text
)
|
SELECT "Circuit" FROM table_48642 WHERE "Session" = 'qualifying'
|
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what is the number of patients whose days of hospital stay is greater than 16 and procedure long title is continuous intra-arterial blood gas monitoring?
|
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 procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.days_stay > "16" AND procedures.long_title = "Continuous intra-arterial blood gas monitoring"
|
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Show the number of debates for each person on the affirmative side in a bar chart, I want to list y-axis in ascending order.
|
CREATE TABLE debate (
Debate_ID int,
Date text,
Venue text,
Num_of_Audience int
)
CREATE TABLE people (
People_ID int,
District text,
Name text,
Party text,
Age int
)
CREATE TABLE debate_people (
Debate_ID int,
Affirmative int,
Negative int,
If_Affirmative_Win bool
)
|
SELECT Name, COUNT(Name) FROM debate_people AS T1 JOIN debate AS T2 ON T1.Debate_ID = T2.Debate_ID JOIN people AS T3 ON T1.Affirmative = T3.People_ID GROUP BY Name ORDER BY COUNT(Name)
|
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When west indes was a holder at the end of the series for the 1991 season with an england greater than 1, what is the smallest west indies?
|
CREATE TABLE table_name_92 (west_indies INTEGER, season VARCHAR, holder_at_the_end_of_the_series VARCHAR, england VARCHAR)
|
SELECT MIN(west_indies) FROM table_name_92 WHERE holder_at_the_end_of_the_series = "west indies" AND england > 1 AND season = "1991"
|
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What is the lowest attendance when footscray is the away team?
|
CREATE TABLE table_name_61 (crowd INTEGER, away_team VARCHAR)
|
SELECT MIN(crowd) FROM table_name_61 WHERE away_team = "footscray"
|
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In Week 7, what is the highest attendance number?
|
CREATE TABLE table_43426 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"Attendance" real
)
|
SELECT MAX("Attendance") FROM table_43426 WHERE "Week" = '7'
|
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how many song title with artbeingt being chubby checker
|
CREATE TABLE table_13789248_2 (
song_title VARCHAR,
artist VARCHAR
)
|
SELECT COUNT(song_title) FROM table_13789248_2 WHERE artist = "Chubby Checker"
|
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Name the to par for score of 74-74-74-71=293
|
CREATE TABLE table_name_64 (
to_par VARCHAR,
score VARCHAR
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|
SELECT to_par FROM table_name_64 WHERE score = 74 - 74 - 74 - 71 = 293
|
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What is the highest Games, when Rebounds is greater than 100, when Name is Nikola Peković, and when Rank is less than 4?
|
CREATE TABLE table_name_26 (games INTEGER, rank VARCHAR, rebounds VARCHAR, name VARCHAR)
|
SELECT MAX(games) FROM table_name_26 WHERE rebounds > 100 AND name = "nikola peković" AND rank < 4
|
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What is the Tie Number when Barnsley was the away team?
|
CREATE TABLE table_47603 (
"Tie no" text,
"Home team" text,
"Score" text,
"Away team" text,
"Date" text
)
|
SELECT "Tie no" FROM table_47603 WHERE "Away team" = 'barnsley'
|
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What is the Home Team of the game against Seattle on June 1?
|
CREATE TABLE table_name_7 (
home_team VARCHAR,
road_team VARCHAR,
date VARCHAR
)
|
SELECT home_team FROM table_name_7 WHERE road_team = "seattle" AND date = "june 1"
|
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For all employees who have the letters D or S in their first name, give me the comparison about the sum of department_id over the job_id , and group by attribute job_id, I want to show by the Y in desc.
|
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 job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
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 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 countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
|
SELECT JOB_ID, SUM(DEPARTMENT_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY SUM(DEPARTMENT_ID) DESC
|
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WHAT IS THE NATIONALITY FOR SOUTHWESTERN OKLAHOMA?
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CREATE TABLE table_name_53 (nationality VARCHAR, college VARCHAR)
|
SELECT nationality FROM table_name_53 WHERE college = "southwestern oklahoma"
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Tell me the player for pick number less than 29 and mls team of chicago fire
|
CREATE TABLE table_name_97 (player VARCHAR, pick__number VARCHAR, mls_team VARCHAR)
|
SELECT player FROM table_name_97 WHERE pick__number < 29 AND mls_team = "chicago fire"
|
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Name the joined for blue hose
|
CREATE TABLE table_16168849_1 (
joined VARCHAR,
nickname VARCHAR
)
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SELECT joined FROM table_16168849_1 WHERE nickname = "Blue Hose"
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What is the original air date of the episode written by Karen Felix and Don Woodard?
|
CREATE TABLE table_72210 (
"Series #" real,
"Season #" real,
"Title" text,
"Directed by" text,
"Written by" text,
"Original air date" text,
"Production code" real
)
|
SELECT "Original air date" FROM table_72210 WHERE "Written by" = 'Karen Felix and Don Woodard'
|
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What is the lowest amount of gold a team with less than 2 total medals, ranked 17, and more than 0 silver medals, has?
|
CREATE TABLE table_name_62 (gold INTEGER, silver VARCHAR, total VARCHAR, rank VARCHAR)
|
SELECT MIN(gold) FROM table_name_62 WHERE total < 2 AND rank = 17 AND silver > 0
|
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count the number of patients whose gender is f and drug type is main?
|
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 procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.gender = "F" AND prescriptions.drug_type = "MAIN"
|
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-100,
-100,
-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
What is the high total for players with over 15 solo tackles?
|
CREATE TABLE table_72059 (
"Player" text,
"Solo" real,
"Total" real,
"Sacks" text,
"Fumble force" real,
"Fumble rec" real
)
|
SELECT MAX("Total") FROM table_72059 WHERE "Solo" > '15'
|
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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 job_id and the average of employee_id , and group by attribute job_id, show by the names in asc.
|
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_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 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 countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
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 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 regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
|
SELECT JOB_ID, AVG(EMPLOYEE_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY JOB_ID
|
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What date were Romania at Home at the Bucharest Venue with a Score of 13-19?
|
CREATE TABLE table_7706 (
"Year" real,
"Date" text,
"Home" text,
"Score" text,
"Away" text,
"Venue" text
)
|
SELECT "Date" FROM table_7706 WHERE "Home" = 'romania' AND "Venue" = 'bucharest' AND "Score" = '13-19'
|
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which game had the least number of people in attendance ?
|
CREATE TABLE table_204_146 (
id number,
"tie" number,
"home team" text,
"score" text,
"away team" text,
"attendance" number
)
|
SELECT "home team" FROM table_204_146 ORDER BY "attendance" LIMIT 1
|
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When was 11-8 the record?
|
CREATE TABLE table_63775 (
"Game" text,
"Date" text,
"Opponent" text,
"Score" text,
"Location Attendance" text,
"Record" text
)
|
SELECT "Date" FROM table_63775 WHERE "Record" = '11-8'
|
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Which Author's Company is Ruth Kanner Theatre Group?
|
CREATE TABLE table_62968 (
"play" text,
"author" text,
"company" text,
"base" text,
"country" text
)
|
SELECT "author" FROM table_62968 WHERE "company" = 'ruth kanner theatre group'
|
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Which date has roma as opponent and a H/A of A?
|
CREATE TABLE table_77652 (
"Date" text,
"Round" text,
"Opponents" text,
"H / A" text,
"Result F\u2013A" text,
"Attendance" real
)
|
SELECT "Date" FROM table_77652 WHERE "Opponents" = 'roma' AND "H / A" = 'a'
|
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