NATURAL_LANG
stringlengths 0
446
| SCHEMA
stringlengths 27
2.21k
| SQL
stringlengths 18
453
| input_ids
list | attention_mask
list | labels
list |
|---|---|---|---|---|---|
How many hometowns does the catcher have?
|
CREATE TABLE table_11677100_15 (
hometown VARCHAR,
position VARCHAR
)
|
SELECT COUNT(hometown) FROM table_11677100_15 WHERE position = "Catcher"
|
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provide the death status of stephanie suchan.
|
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 demographic.expire_flag FROM demographic WHERE demographic.name = "Stephanie Suchan"
|
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When mike bibby (8) had the highest amount of assists what is the record?
|
CREATE TABLE table_17311759_9 (
record VARCHAR,
high_assists VARCHAR
)
|
SELECT record FROM table_17311759_9 WHERE high_assists = "Mike Bibby (8)"
|
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What is the estimated end date for the 2001-037a international designated satellite?
|
CREATE TABLE table_18161217_2 (
estimated_end_date VARCHAR,
_clarification_needed_ VARCHAR,
cospar_id VARCHAR
)
|
SELECT estimated_end_date AS "_clarification_needed_" FROM table_18161217_2 WHERE cospar_id = "2001-037A"
|
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was patient 028-52605 diagnosed with any until 1 year ago?
|
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime 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 medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
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 diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
|
SELECT COUNT(*) > 0 FROM diagnosis WHERE diagnosis.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '028-52605')) AND DATETIME(diagnosis.diagnosistime) <= DATETIME(CURRENT_TIME(), '-1 year')
|
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What is the Netflix number having a segment of C of pills?
|
CREATE TABLE table_75289 (
"Series Ep." text,
"Episode" real,
"Netflix" text,
"Segment A" text,
"Segment B" text,
"Segment C" text,
"Segment D" text
)
|
SELECT "Netflix" FROM table_75289 WHERE "Segment C" = 'pills'
|
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what was the game made in the year previous to 1994 ?
|
CREATE TABLE table_203_489 (
id number,
"year" number,
"title" text,
"system" text,
"developer" text,
"publisher" text
)
|
SELECT "title" FROM table_203_489 WHERE "year" < 1994 ORDER BY "year" DESC LIMIT 1
|
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What is the att-cmp-int that has 12 for the gp-gs and 174.3 as the avg/g?
|
CREATE TABLE table_name_16 (
att_cmp_int VARCHAR,
gp_gs VARCHAR,
avg_g VARCHAR
)
|
SELECT att_cmp_int FROM table_name_16 WHERE gp_gs = "12" AND avg_g = 174.3
|
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What was the final score for the game on May 1?
|
CREATE TABLE table_69875 (
"Date" text,
"Opponent" text,
"Score" text,
"Loss" text,
"Record" text
)
|
SELECT "Score" FROM table_69875 WHERE "Date" = 'may 1'
|
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Average round for rodney harrison p before 145?
|
CREATE TABLE table_name_66 (
round INTEGER,
name VARCHAR,
pick VARCHAR
)
|
SELECT AVG(round) FROM table_name_66 WHERE name = "rodney harrison p" AND pick < 145
|
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What championships were played on clay and the opponent was virginia ruano pascual paola su rez?
|
CREATE TABLE table_24638867_4 (
championship VARCHAR,
surface VARCHAR,
opponent VARCHAR
)
|
SELECT championship FROM table_24638867_4 WHERE surface = "Clay" AND opponent = "Virginia Ruano Pascual Paola Suárez"
|
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give the number of patients with private insurance who stayed in the hospital for more than 10 days.
|
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE 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 WHERE demographic.insurance = "Private" AND demographic.days_stay > "10"
|
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Which dish belongs to the network that has the official website of ksat.com?
|
CREATE TABLE table_name_46 (dish VARCHAR, official_website VARCHAR)
|
SELECT dish FROM table_name_46 WHERE official_website = "ksat.com"
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Who were the opponents in the final at Noida?
|
CREATE TABLE table_name_15 (opponents_in_the_final VARCHAR, tournament VARCHAR)
|
SELECT opponents_in_the_final FROM table_name_15 WHERE tournament = "noida"
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Which aircraft has heavy transport?
|
CREATE TABLE table_name_39 (
aircraft VARCHAR,
type VARCHAR
)
|
SELECT aircraft FROM table_name_39 WHERE type = "heavy transport"
|
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Which election has a conservative first party, Rowland Smith as first member, and Sir Henry Wilmot, Bt as second member?
|
CREATE TABLE table_name_11 (election VARCHAR, second_member VARCHAR, first_party VARCHAR, first_member VARCHAR)
|
SELECT election FROM table_name_11 WHERE first_party = "conservative" AND first_member = "rowland smith" AND second_member = "sir henry wilmot, bt"
|
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What is the fewest draws for teams with a 0 goal difference and under 55 goals against?
|
CREATE TABLE table_9462 (
"Position" real,
"Team" text,
"Played" real,
"Drawn" real,
"Lost" real,
"Goals For" real,
"Goals Against" real,
"Goal Difference" text,
"Points 1" text
)
|
SELECT MIN("Drawn") FROM table_9462 WHERE "Goal Difference" = '0' AND "Goals Against" < '55'
|
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Where did South Melbourne go to play a team at home?
|
CREATE TABLE table_name_98 (home_team VARCHAR, away_team VARCHAR)
|
SELECT home_team FROM table_name_98 WHERE away_team = "south melbourne"
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What Tournament of canada happened in 1998?
|
CREATE TABLE table_name_97 (tournament VARCHAR)
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SELECT 1998 FROM table_name_97 WHERE tournament = "canada"
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provide the number of divorced patients who were diagnosed with occlusion and stenosis of carotid artery without mention of cerebral infarction.
|
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 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.marital_status = "DIVORCED" AND diagnoses.short_title = "Ocl crtd art wo infrct"
|
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how many candidates were elected in 1990 ?
|
CREATE TABLE table_203_330 (
id number,
"year of election" number,
"candidates elected" number,
"# of seats available" number,
"# of votes" number,
"% of popular vote" text
)
|
SELECT "candidates elected" FROM table_203_330 WHERE "year of election" = 1990
|
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what is the number of patients whose days of hospital stay is greater than 43 and lab test name is digoxin?
|
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 COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.days_stay > "43" AND lab.label = "Digoxin"
|
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when was patient 007-11182 for the first time prescribed a drug?
|
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 diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
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 allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
|
SELECT medication.drugstarttime FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '007-11182')) ORDER BY medication.drugstarttime LIMIT 1
|
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Which Wins have a Rank of 3?
|
CREATE TABLE table_name_77 (
wins INTEGER,
rank VARCHAR
)
|
SELECT AVG(wins) FROM table_name_77 WHERE rank = 3
|
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Where did Geelong play as the home team?
|
CREATE TABLE table_name_4 (
venue VARCHAR,
home_team VARCHAR
)
|
SELECT venue FROM table_name_4 WHERE home_team = "geelong"
|
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Provide the number of patients who are younger than 31 years and have procedure long title as insertion of endotracheal tube.
|
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
)
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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.age < "31" AND procedures.long_title = "Insertion of endotracheal tube"
|
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What are the names of parties that do not have delegates in election?
|
CREATE TABLE election (
Party VARCHAR,
Party_ID VARCHAR
)
CREATE TABLE party (
Party VARCHAR,
Party_ID VARCHAR
)
|
SELECT Party FROM party WHERE NOT Party_ID IN (SELECT Party FROM election)
|
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What is the general classification for a mountains value of Christophe Moreau and a Team winner of Team CSC?
|
CREATE TABLE table_name_94 (
general_classification VARCHAR,
mountains_classification VARCHAR,
team_classification VARCHAR
)
|
SELECT general_classification FROM table_name_94 WHERE mountains_classification = "christophe moreau" AND team_classification = "team csc"
|
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What was the location of the game when the record was 2-1?
|
CREATE TABLE table_75873 (
"Date" text,
"Opponent" text,
"Location" text,
"Score" text,
"Loss" text,
"Record" text
)
|
SELECT "Location" FROM table_75873 WHERE "Record" = '2-1'
|
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What is the attendance sum of the game on March 16, 1990 with a loss record?
|
CREATE TABLE table_44391 (
"Date" text,
"at/vs." text,
"Opponent'" text,
"Score'" text,
"Attendance" real,
"Record" text
)
|
SELECT SUM("Attendance") FROM table_44391 WHERE "Record" = 'loss' AND "Date" = 'march 16, 1990'
|
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[
3,
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14196,
180,
6122,
599,
121,
188,
17,
324,
26,
663,
8512,
21680,
953,
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3628,
3288,
536,
549,
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427,
96,
1649,
7621,
121,
3274,
3,
31,
2298,
7,
31,
3430,
96,
308,
342,
121,
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3,
31,
51,
7064,
11940,
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1,
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-100,
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-100,
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-100,
-100,
-100
] |
Show the race class and number of races in each class.
|
CREATE TABLE track (
track_id number,
name text,
location text,
seating number,
year_opened number
)
CREATE TABLE race (
race_id number,
name text,
class text,
date text,
track_id text
)
|
SELECT class, COUNT(*) FROM race GROUP BY class
|
[
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
1463,
41,
1463,
834,
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26,
381,
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564,
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] |
[
3,
23143,
14196,
853,
6,
2847,
17161,
599,
1935,
61,
21680,
1964,
350,
4630,
6880,
272,
476,
853,
1,
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-100,
-100,
-100
] |
What is the category for the year when Brioude started and the stage is less than 7?
|
CREATE TABLE table_name_10 (
category VARCHAR,
start VARCHAR,
stage VARCHAR
)
|
SELECT COUNT(category) FROM table_name_10 WHERE start = "brioude" AND stage < 7
|
[
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
1714,
41,
3295,
584,
4280,
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6,
456,
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6,
1726,
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3,
61,
3,
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363,
19,
8,
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8,
215,
116,
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Which team raced at Amaroo Park?
|
CREATE TABLE table_name_65 (
team VARCHAR,
circuit VARCHAR
)
|
SELECT team FROM table_name_65 WHERE circuit = "amaroo park"
|
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what is the number of patients whose gender is f and year of birth is less than 2085?
|
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 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
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "F" AND demographic.dob_year < "2085"
|
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did patient 015-910 undergone a external fixation device procedure in 2105?
|
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
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 vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
|
SELECT COUNT(*) > 0 FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '015-910')) AND treatment.treatmentname = 'external fixation device' AND STRFTIME('%y', treatment.treatmenttime) = '2105'
|
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What is the Score of the game on March 18?
|
CREATE TABLE table_44315 (
"Game" real,
"March" real,
"Opponent" text,
"Score" text,
"Record" text
)
|
SELECT "Score" FROM table_44315 WHERE "March" = '18'
|
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Which Score has Opponent of mariners and a Record of 24 25?
|
CREATE TABLE table_5844 (
"Date" text,
"Opponent" text,
"Score" text,
"Loss" text,
"Attendance" text,
"Record" text
)
|
SELECT "Score" FROM table_5844 WHERE "Opponent" = 'mariners' AND "Record" = '24–25'
|
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how many patients are born before 2182 and suggested with drug route via iv bolus?
|
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 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
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.dob_year < "2182" AND prescriptions.route = "IV BOLUS"
|
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What is the total of the first elected year of incumbent norm dicks?
|
CREATE TABLE table_name_29 (first_elected VARCHAR, incumbent VARCHAR)
|
SELECT COUNT(first_elected) FROM table_name_29 WHERE incumbent = "norm dicks"
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Name the date for score l 89 91 (ot)
|
CREATE TABLE table_17288845_8 (
date VARCHAR,
score VARCHAR
)
|
SELECT date FROM table_17288845_8 WHERE score = "L 89–91 (OT)"
|
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What shows for notes when rank is more than 4, and country is South Korea?
|
CREATE TABLE table_63807 (
"Rank" real,
"Rowers" text,
"Country" text,
"Time" text,
"Notes" text
)
|
SELECT "Notes" FROM table_63807 WHERE "Rank" > '4' AND "Country" = 'south korea'
|
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Name the southern lakota for h ha na
|
CREATE TABLE table_1499774_5 (
southern_lakota VARCHAR,
yankton_yanktonai VARCHAR
)
|
SELECT southern_lakota FROM table_1499774_5 WHERE yankton_yanktonai = "híŋhaŋna"
|
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Which 2009 has a 2012 larger than 9,265?
|
CREATE TABLE table_name_61 (Id VARCHAR)
|
SELECT MAX(2009) FROM table_name_61 WHERE 2012 > 9 OFFSET 265
|
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What Utah Jazz guard, played at BYU?
|
CREATE TABLE table_54208 (
"Player" text,
"Nationality" text,
"Position" text,
"Years for Jazz" text,
"School/Club Team" text
)
|
SELECT "Player" FROM table_54208 WHERE "Position" = 'guard' AND "School/Club Team" = 'byu'
|
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What is the week with a date of October 9, 1983, and attendance smaller than 40,492?
|
CREATE TABLE table_70401 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"Attendance" real
)
|
SELECT COUNT("Week") FROM table_70401 WHERE "Date" = 'october 9, 1983' AND "Attendance" < '40,492'
|
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What is the chemical class for ri?
|
CREATE TABLE table_name_33 (chemical_class VARCHAR, formula VARCHAR)
|
SELECT chemical_class FROM table_name_33 WHERE formula = "ri"
|
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What opponent has april 23 as the date?
|
CREATE TABLE table_5121 (
"Date" text,
"City" text,
"Opponent" text,
"Results\u00b9" text,
"Type of game" text
)
|
SELECT "Opponent" FROM table_5121 WHERE "Date" = 'april 23'
|
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For each cinema, show the price and group them by film title in a stacked bar chart.
|
CREATE TABLE schedule (
Cinema_ID int,
Film_ID int,
Date text,
Show_times_per_day int,
Price float
)
CREATE TABLE film (
Film_ID int,
Rank_in_series int,
Number_in_season int,
Title text,
Directed_by text,
Original_air_date text,
Production_code text
)
CREATE TABLE cinema (
Cinema_ID int,
Name text,
Openning_year int,
Capacity int,
Location text
)
|
SELECT Title, Price FROM schedule AS T1 JOIN film AS T2 ON T1.Film_ID = T2.Film_ID JOIN cinema AS T3 ON T1.Cinema_ID = T3.Cinema_ID GROUP BY Name, Title
|
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Find the name and training hours of players whose hours are below 1500.
|
CREATE TABLE Player (
pName VARCHAR,
HS INTEGER
)
|
SELECT pName, HS FROM Player WHERE HS < 1500
|
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] |
What is the series # when the US air date is 20 July 2012?
|
CREATE TABLE table_30012404_4 (series__number INTEGER, us_air_date VARCHAR)
|
SELECT MIN(series__number) FROM table_30012404_4 WHERE us_air_date = "20 July 2012"
|
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What is the lowest silver for France with a rank less than 5 and a total larger than 19?
|
CREATE TABLE table_name_43 (
silver INTEGER,
total VARCHAR,
rank VARCHAR,
nation VARCHAR
)
|
SELECT MIN(silver) FROM table_name_43 WHERE rank < 5 AND nation = "france" AND total > 19
|
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Which Emission (in nanometers) has an absorbtion of 593 nm?
|
CREATE TABLE table_name_6 (emit__nm_ VARCHAR, absorb__nm_ VARCHAR)
|
SELECT emit__nm_ FROM table_name_6 WHERE absorb__nm_ = "593"
|
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What are the international tourist arrivals in 2010 where change from 2010 to 2011 is +11.2% ?
|
CREATE TABLE table_14752049_2 (
international_tourist_arrivals__2010_ VARCHAR,
change__2010_to_2011_ VARCHAR
)
|
SELECT international_tourist_arrivals__2010_ FROM table_14752049_2 WHERE change__2010_to_2011_ = "+11.2%"
|
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what is the total number of patients treated with mupirocin cream 2%?
|
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 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 WHERE prescriptions.drug = "Mupirocin Cream 2%"
|
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Return a bar chart about the distribution of meter_600 and ID , and rank in descending by the y axis please.
|
CREATE TABLE stadium (
ID int,
name text,
Capacity int,
City text,
Country text,
Opening_year int
)
CREATE TABLE event (
ID int,
Name text,
Stadium_ID int,
Year text
)
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, ID FROM swimmer ORDER BY ID DESC
|
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what's the economics score with education being 92.0
|
CREATE TABLE table_145439_1 (economics VARCHAR, education VARCHAR)
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SELECT economics FROM table_145439_1 WHERE education = "92.0"
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What is the venue when the result is 2-0, and the score is 1 goal, and the competition is 1980 afc asian cup?
|
CREATE TABLE table_name_60 (venue VARCHAR, competition VARCHAR, result VARCHAR, score VARCHAR)
|
SELECT venue FROM table_name_60 WHERE result = "2-0" AND score = "1 goal" AND competition = "1980 afc asian cup"
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How many byes were there recorded with 0 draws?
|
CREATE TABLE table_13633 (
"Millewa" text,
"Wins" real,
"Byes" real,
"Losses" real,
"Draws" real,
"Against" real
)
|
SELECT SUM("Byes") FROM table_13633 WHERE "Draws" < '0'
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What was the end result for 28 February 2001?
|
CREATE TABLE table_34229 (
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text
)
|
SELECT "Result" FROM table_34229 WHERE "Date" = '28 february 2001'
|
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Give me a histogram for what are the names of projects that require more than 300 hours, and how many scientists are assigned to each?, and list by the Name in desc.
|
CREATE TABLE Scientists (
SSN int,
Name Char(30)
)
CREATE TABLE AssignedTo (
Scientist int,
Project char(4)
)
CREATE TABLE Projects (
Code Char(4),
Name Char(50),
Hours int
)
|
SELECT Name, COUNT(*) FROM Projects AS T1 JOIN AssignedTo AS T2 ON T1.Code = T2.Project WHERE T1.Hours > 300 GROUP BY T1.Name ORDER BY Name DESC
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What season was the average attendance is 16043?
|
CREATE TABLE table_3838 (
"Season" text,
"Overall Record" text,
"SEC Record" text,
"Overall Attendance" real,
"Average Attendance" real,
"Rank Nationally" text
)
|
SELECT "Season" FROM table_3838 WHERE "Average Attendance" = '16043'
|
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What was St Kilda's home team opponents score?
|
CREATE TABLE table_58458 (
"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_58458 WHERE "Away team" = 'st kilda'
|
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Which conference is in Portland, Oregon?
|
CREATE TABLE table_75107 (
"Conference" text,
"Division" text,
"Team" text,
"City" text,
"Home Arena" text
)
|
SELECT "Conference" FROM table_75107 WHERE "City" = 'portland, oregon'
|
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For all employees who have the letters D or S in their first name, show me about the distribution of job_id and the sum of department_id , and group by attribute job_id in a bar chart.
|
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 countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE 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 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)
)
|
SELECT JOB_ID, SUM(DEPARTMENT_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID
|
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] |
Which Played is the lowest one that has a Blackpool smaller than 0?
|
CREATE TABLE table_name_57 (
played INTEGER,
blackpool INTEGER
)
|
SELECT MIN(played) FROM table_name_57 WHERE blackpool < 0
|
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What is the rank of the rider with time of 1:41.40.55?
|
CREATE TABLE table_name_24 (rank INTEGER, time VARCHAR)
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SELECT SUM(rank) FROM table_name_24 WHERE time = "1:41.40.55"
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Give me the number of widow patients who had a urine albumin/creatinine lab test.
|
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 procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.marital_status = "WIDOWED" AND lab.label = "Albumin/Creatinine, Urine"
|
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count the number of patients whose diagnoses short title is hx of bladder malignancy and drug type is additive?
|
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 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
)
|
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 = "Hx of bladder malignancy" AND prescriptions.drug_type = "ADDITIVE"
|
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How many points did Stuart have when he had 0 extra points?
|
CREATE TABLE table_name_53 (points INTEGER, player VARCHAR, extra_points VARCHAR)
|
SELECT MIN(points) FROM table_name_53 WHERE player = "stuart" AND extra_points < 0
|
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-100
] |
What is the Population of the group that has a Height (m) of 15 and an Area (ha) of 00017 17?
|
CREATE TABLE table_69297 (
"Island" text,
"Group" text,
"Area ( ha )" text,
"Population" text,
"Height (m)" real
)
|
SELECT "Population" FROM table_69297 WHERE "Height (m)" = '15' AND "Area ( ha )" = '00017 17'
|
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What is San Antonio game number?
|
CREATE TABLE table_11960610_10 (
game INTEGER,
team VARCHAR
)
|
SELECT MAX(game) FROM table_11960610_10 WHERE team = "San Antonio"
|
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For those employees who do not work in departments with managers that have ids between 100 and 200, draw a line chart about the change of manager_id over hire_date , and show in descending by the X.
|
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE 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 jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
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 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)
)
|
SELECT HIRE_DATE, MANAGER_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY HIRE_DATE DESC
|
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In the match where the venue was arden street oval, what was the crowd attendance?
|
CREATE TABLE table_58580 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
)
|
SELECT SUM("Crowd") FROM table_58580 WHERE "Venue" = 'arden street oval'
|
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How many barony's appear when Ballyvadona is the townland.
|
CREATE TABLE table_30120556_1 (barony VARCHAR, townland VARCHAR)
|
SELECT COUNT(barony) FROM table_30120556_1 WHERE townland = "Ballyvadona"
|
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which opponent did they play against before the play date of april 12 ?
|
CREATE TABLE table_203_536 (
id number,
"#" number,
"date" text,
"opponent" text,
"score" text,
"win" text,
"loss" text,
"save" text,
"crowd" number,
"record" text
)
|
SELECT "opponent" FROM table_203_536 WHERE id = (SELECT id FROM table_203_536 WHERE "date" = 'apr 12') - 1
|
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What player loaned to of Leeds United?
|
CREATE TABLE table_13241 (
"Position" text,
"Player" text,
"Loaned to" text,
"Date" text,
"Loan expires" text
)
|
SELECT "Player" FROM table_13241 WHERE "Loaned to" = 'leeds united'
|
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Which Race has a Runners of 7 and Odds of 1/3?
|
CREATE TABLE table_name_30 (
race VARCHAR,
runners VARCHAR,
odds VARCHAR
)
|
SELECT race FROM table_name_30 WHERE runners = 7 AND odds = "1/3"
|
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What is Electorate, when Party is "Country", when State is "WA", and when Member is "John Hallett"?
|
CREATE TABLE table_name_39 (electorate VARCHAR, member VARCHAR, party VARCHAR, state VARCHAR)
|
SELECT electorate FROM table_name_39 WHERE party = "country" AND state = "wa" AND member = "john hallett"
|
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how many films grossed more than $ 80,000,000
|
CREATE TABLE table_203_762 (
id number,
"#" number,
"date" text,
"film" text,
"gross" text,
"notes" text
)
|
SELECT COUNT("film") FROM table_203_762 WHERE "gross" > 80000000
|
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What is Team 1 where Team 2 is gombe united f.c.?
|
CREATE TABLE table_name_23 (team_1 VARCHAR, team_2 VARCHAR)
|
SELECT team_1 FROM table_name_23 WHERE team_2 = "gombe united f.c."
|
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What season was Norwich Union League promoted?
|
CREATE TABLE table_78379 (
"Season" text,
"1st Division" text,
"Relegated" text,
"2nd Division" text,
"Promoted" text
)
|
SELECT "Season" FROM table_78379 WHERE "Promoted" = 'norwich union league'
|
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how many patients whose discharge location is rehab/distinct part hosp and diagnoses long title is end stage renal disease?
|
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 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
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.discharge_location = "REHAB/DISTINCT PART HOSP" AND diagnoses.long_title = "End stage renal disease"
|
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What's the standard name with an ADSL2 version and a 01.5 1.5 mbit/s downstream rate?
|
CREATE TABLE table_name_49 (
standard_name VARCHAR,
version VARCHAR,
downstream_rate VARCHAR
)
|
SELECT standard_name FROM table_name_49 WHERE version = "adsl2" AND downstream_rate = "01.5 1.5 mbit/s"
|
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Which Label has a Date of 14 February?
|
CREATE TABLE table_name_56 (label VARCHAR, date VARCHAR)
|
SELECT label FROM table_name_56 WHERE date = "14 february"
|
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what rank has years until mandatory retirement of 6 years?
|
CREATE TABLE table_name_55 (
rank VARCHAR,
years_until_mandatory_retirement VARCHAR
)
|
SELECT rank FROM table_name_55 WHERE years_until_mandatory_retirement = "6 years"
|
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What was Billy Casper's to par?
|
CREATE TABLE table_name_51 (to_par VARCHAR, player VARCHAR)
|
SELECT to_par FROM table_name_51 WHERE player = "billy casper"
|
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Find the states of the colleges that have students in the tryout who played in striker position.
|
CREATE TABLE college (
state VARCHAR,
cName VARCHAR
)
CREATE TABLE tryout (
cName VARCHAR,
pPos VARCHAR
)
|
SELECT T1.state FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName WHERE T2.pPos = 'striker'
|
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] |
Who were the guests in the episode with production code 6021?
|
CREATE TABLE table_25691838_2 (guest VARCHAR, production_code VARCHAR)
|
SELECT guest FROM table_25691838_2 WHERE production_code = 6021
|
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The color diamond is assigned to which Terminus?
|
CREATE TABLE table_4615 (
"Line" text,
"Color" text,
"Terminus" text,
"Length" text,
"Stations" text,
"Daily Ridership" real
)
|
SELECT "Terminus" FROM table_4615 WHERE "Color" = 'diamond'
|
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Count the number of patients whose procedure title is radical neck dissection, unilateral and lab test category is blood gas.
|
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 lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE procedures.long_title = "Radical neck dissection, unilateral" AND lab."CATEGORY" = "Blood Gas"
|
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what is the highest points when the chassis is focus rs wrc 08 and 09 and the stage wins is more than 91?
|
CREATE TABLE table_79266 (
"Constructor" text,
"Chassis" text,
"Starts" real,
"Finishes" real,
"Wins" real,
"Podiums" real,
"Stage wins" real,
"Points" real
)
|
SELECT MAX("Points") FROM table_79266 WHERE "Chassis" = 'focus rs wrc 08 and 09' AND "Stage wins" > '91'
|
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What is the local mission that has ambassador as the local position, and a mission of suriname?
|
CREATE TABLE table_name_13 (
Local VARCHAR,
local_position VARCHAR,
mission VARCHAR
)
|
SELECT Local AS mission FROM table_name_13 WHERE local_position = "ambassador" AND mission = "suriname"
|
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among those who had a labt test for cerebrospinal fluid (csf), calculate the total number of widowed patients
|
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 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
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.marital_status = "WIDOWED" AND lab.fluid = "Cerebrospinal Fluid (CSF)"
|
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List the builder from 1930.
|
CREATE TABLE table_22481967_1 (builder VARCHAR, date VARCHAR)
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SELECT builder FROM table_22481967_1 WHERE date = "1930"
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] |
What is the total number of wins with 10 cuts made and a score average under 74.09?
|
CREATE TABLE table_40161 (
"Year" real,
"Tournaments played" real,
"Cuts made" real,
"Wins" real,
"Best finish" text,
"Earnings ( $ )" text,
"Scoring average" real
)
|
SELECT COUNT("Wins") FROM table_40161 WHERE "Cuts made" = '10' AND "Scoring average" < '74.09'
|
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] |
Which frequency is station wlfv-fm?
|
CREATE TABLE table_19131921_1 (frequency VARCHAR, station VARCHAR)
|
SELECT frequency FROM table_19131921_1 WHERE station = "WLFV-FM"
|
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What is Opponents In The Final, when Partner is 'Ji Nov k'?
|
CREATE TABLE table_name_67 (
opponents_in_the_final VARCHAR,
partner VARCHAR
)
|
SELECT opponents_in_the_final FROM table_name_67 WHERE partner = "jiří novák"
|
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What is the vault score for the total of 56.635?
|
CREATE TABLE table_11542215_3 (vault VARCHAR, total VARCHAR)
|
SELECT vault FROM table_11542215_3 WHERE total = "56.635"
|
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A bar graph listing the services and how many services provided by all stations, list in desc by the x axis.
|
CREATE TABLE route (
train_id int,
station_id int
)
CREATE TABLE station (
id int,
network_name text,
services text,
local_authority text
)
CREATE TABLE weekly_weather (
station_id int,
day_of_week text,
high_temperature int,
low_temperature int,
precipitation real,
wind_speed_mph int
)
CREATE TABLE train (
id int,
train_number int,
name text,
origin text,
destination text,
time text,
interval text
)
|
SELECT services, COUNT(services) FROM station GROUP BY services ORDER BY services DESC
|
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Name the average for assists per game
|
CREATE TABLE table_28821 (
"Category" text,
"Player" text,
"Games played" real,
"Totals" text,
"Average" text
)
|
SELECT "Average" FROM table_28821 WHERE "Category" = 'Assists per game'
|
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