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CREATE TABLE table_name_71 (location VARCHAR2, host VARCHAR2, national_champion VARCHAR2)
| At what Location did Robert Morris University (Illinois) Host the Lindenwood National Chamption? | SELECT location FROM table_name_71 WHERE host = "robert morris university (illinois)" AND national_champion = "lindenwood" | SELECT "location" FROM "table_name_71" WHERE "host" = "robert morris university (illinois)" AND "lindenwood" = "national_champion" | 0.126953 |
CREATE TABLE table_name_19 (regular_season VARCHAR2, division VARCHAR2)
| WHICH Regular Season has a Division of 4? | SELECT regular_season FROM table_name_19 WHERE division = 4 | SELECT "regular_season" FROM "table_name_19" WHERE "division" = 4 | 0.063477 |
CREATE TABLE table_name_18 (loss NUMBER, avg_g VARCHAR2)
| WHAT IS THE LOSS WITH AN AVERAGE OF 89.9? | SELECT SUM(loss) FROM table_name_18 WHERE avg_g = 89.9 | SELECT SUM("loss") FROM "table_name_18" WHERE "avg_g" = 89.9 | 0.058594 |
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
| when was the last microbiological sputum, expectorated test of patient 025-44495 performed this month? | SELECT microlab.culturetakentime FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '025-44495')) AND microlab.culturesite = 'sputum, expectorated' AND DATETIME(microlab.culturetakentime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') ORDER BY microlab.culturetakentime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '025-44495' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "microlab"."culturetakentime" FROM "microlab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "microlab"."patientunitstayid" WHERE "microlab"."culturesite" = 'sputum, expectorated' AND DATETIME("microlab"."culturetakentime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND NOT "_u_1"."" IS NULL ORDER BY "microlab"."culturetakentime" DESC FETCH FIRST 1 ROWS ONLY | 0.728516 |
CREATE TABLE table_name_1 (opponent_number VARCHAR2, attendance VARCHAR2)
| Who were the opponents when there was an attendance of 48,165? | SELECT opponent_number FROM table_name_1 WHERE attendance = "48,165" | SELECT "opponent_number" FROM "table_name_1" WHERE "48,165" = "attendance" | 0.072266 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| Count the number of urgent hospital admission patients who have unspecified myelodysplastic syndrome diagnoses. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_type = "URGENT" AND diagnoses.short_title = "Myelodysplastic synd NOS" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Myelodysplastic synd NOS" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "URGENT" = "demographic"."admission_type" | 0.237305 |
CREATE TABLE table_76220 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Leading Scorer" CLOB, "Attendance" CLOB, "Series" CLOB)
| Who is the opponent of the game with a tied 1-1 series and becky hammon (14) as the leading scorer? | SELECT "Opponent" FROM table_76220 WHERE "Series" = 'tied 1-1' AND "Leading Scorer" = 'becky hammon (14)' | SELECT "Opponent" FROM "table_76220" WHERE "Leading Scorer" = 'becky hammon (14)' AND "Series" = 'tied 1-1' | 0.104492 |
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
| what are the top three most common lab tests done on patients aged 60 or above until 2 years ago? | SELECT t1.labname FROM (SELECT lab.labname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.age >= 60) AND DATETIME(lab.labresulttime) <= DATETIME(CURRENT_TIME(), '-2 year') GROUP BY lab.labname) AS t1 WHERE t1.c1 <= 3 | WITH "_u_0" AS (SELECT "patient"."patientunitstayid" FROM "patient" WHERE "patient"."age" >= 60 GROUP BY "patientunitstayid"), "t1" AS (SELECT "lab"."labname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "lab" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "lab"."patientunitstayid" WHERE DATETIME("lab"."labresulttime") <= DATETIME(CURRENT_TIME(), '-2 year') AND NOT "_u_0"."" IS NULL GROUP BY "lab"."labname") SELECT "t1"."labname" FROM "t1" "t1" WHERE "t1"."c1" <= 3 | 0.461914 |
CREATE TABLE table_204_553 (id NUMBER, "outcome" CLOB, "no." NUMBER, "date" CLOB, "tournament" CLOB, "surface" CLOB, "partner" CLOB, "opponents in the final" CLOB, "score in the final" CLOB)
| the match on november 12 , 1978 was on a hard surface . what was the surface of the previous match ? | SELECT "surface" FROM table_204_553 WHERE "date" < (SELECT "date" FROM table_204_553 WHERE "date" = '12 november 1978') ORDER BY "date" DESC LIMIT 1 | SELECT "surface" FROM "table_204_553" WHERE "date" < (SELECT "date" FROM "table_204_553" WHERE "date" = '12 november 1978') ORDER BY "date" DESC FETCH FIRST 1 ROWS ONLY | 0.164063 |
CREATE TABLE table_203_513 (id NUMBER, "no." NUMBER, "date" CLOB, "home team" CLOB, "visiting team" CLOB, "goals" CLOB, "score" CLOB, "result" CLOB, "venue" CLOB, "competition" CLOB)
| how many losses did finland obtain ? | SELECT COUNT(*) FROM table_203_513 WHERE "result" = 'loss' | SELECT COUNT(*) FROM "table_203_513" WHERE "result" = 'loss' | 0.058594 |
CREATE TABLE table_3683 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "U.S. viewers ( million ) " CLOB)
| Who was the writer in the episode directed by Jesse Peretz? | SELECT "Written by" FROM table_3683 WHERE "Directed by" = 'Jesse Peretz' | SELECT "Written by" FROM "table_3683" WHERE "Directed by" = 'Jesse Peretz' | 0.072266 |
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime 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 intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
| has patient 013-29301 undergone a stress ulcer prophylaxis - esomeprazole procedure in this year? | 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 = '013-29301')) AND treatment.treatmentname = 'stress ulcer prophylaxis - esomeprazole' AND DATETIME(treatment.treatmenttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '013-29301' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) > 0 FROM "treatment" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "treatment"."patientunitstayid" WHERE "treatment"."treatmentname" = 'stress ulcer prophylaxis - esomeprazole' AND DATETIME("treatment"."treatmenttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_1"."" IS NULL | 0.664063 |
CREATE TABLE table_32422 ("Team" CLOB, "Chassis" CLOB, "Engine" CLOB, "Tires" CLOB, "Drivers" CLOB)
| What is the engine for the Bettenhausen Motorsports team? | SELECT "Engine" FROM table_32422 WHERE "Team" = 'bettenhausen motorsports' | SELECT "Engine" FROM "table_32422" WHERE "Team" = 'bettenhausen motorsports' | 0.074219 |
CREATE TABLE table_name_56 (date VARCHAR2, tie_no VARCHAR2)
| What was the date of the game that tied at 3? | SELECT date FROM table_name_56 WHERE tie_no = "3" | SELECT "date" FROM "table_name_56" WHERE "3" = "tie_no" | 0.053711 |
CREATE TABLE table_75834 ("Episode #" FLOAT, "Title" CLOB, "Air Date" CLOB, "Rating" FLOAT, "Share" FLOAT, "18\\u201349" FLOAT, "Viewers" FLOAT, "Rank" CLOB)
| What is the lowest Viewers that has an Episode #higher than 58 with a title of 'curveball' less than 4.1 rating? | SELECT MIN("Viewers") FROM table_75834 WHERE "Episode #" > '58' AND "Title" = 'curveball' AND "Rating" < '4.1' | SELECT MIN("Viewers") FROM "table_75834" WHERE "Episode #" > '58' AND "Rating" < '4.1' AND "Title" = 'curveball' | 0.109375 |
CREATE TABLE table_19069 ("District" CLOB, "Counties Represented" CLOB, "Delegate" CLOB, "Party" CLOB, "First Elected" FLOAT, "Committee" CLOB)
| Name the delegate first elected in 2003? | SELECT "Delegate" FROM table_19069 WHERE "First Elected" = '2003' | SELECT "Delegate" FROM "table_19069" WHERE "First Elected" = '2003' | 0.06543 |
CREATE TABLE table_12298 ("Main contestant" CLOB, "Co-contestant ( Yaar vs. Pyaar ) " CLOB, "Date performed" CLOB, "Scores by each individual judge" CLOB, "Total score/week" CLOB, "Position" CLOB, "Status" CLOB)
| What Scores by each individual judge has a Status of current, and a Co-contestant (Yaar vs. Pyaar) of krushna abhishek? | SELECT "Scores by each individual judge" FROM table_12298 WHERE "Status" = 'current' AND "Co-contestant (Yaar vs. Pyaar)" = 'krushna abhishek' | SELECT "Scores by each individual judge" FROM "table_12298" WHERE "Co-contestant (Yaar vs. Pyaar)" = 'krushna abhishek' AND "Status" = 'current' | 0.140625 |
CREATE TABLE market (Market_ID NUMBER, District CLOB, Num_of_employees NUMBER, Num_of_shops FLOAT, Ranking NUMBER)
CREATE TABLE phone_market (Market_ID NUMBER, Phone_ID CLOB, Num_of_stock NUMBER)
CREATE TABLE phone (Name CLOB, Phone_ID NUMBER, Memory_in_G NUMBER, Carrier CLOB, Price FLOAT)
| Bar graph to show mean memory in g from different carrier, and could you order from high to low by the Y-axis? | SELECT Carrier, AVG(Memory_in_G) FROM phone GROUP BY Carrier ORDER BY AVG(Memory_in_G) DESC | SELECT "Carrier", AVG("Memory_in_G") FROM "phone" GROUP BY "Carrier" ORDER BY AVG("Memory_in_G") DESC | 0.098633 |
CREATE TABLE table_203_710 (id NUMBER, "genre" CLOB, "year" NUMBER, "title" CLOB, "episode" CLOB, "role" CLOB, "notes" CLOB)
| what is the last piece of filmography that he has worked on to date ? | SELECT "title" FROM table_203_710 ORDER BY "year" DESC LIMIT 1 | SELECT "title" FROM "table_203_710" ORDER BY "year" DESC FETCH FIRST 1 ROWS ONLY | 0.078125 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| how many male patients are diagnosed for seroma complicating a procedure? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.gender = "M" AND diagnoses.long_title = "Seroma complicating a procedure" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Seroma complicating a procedure" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "M" = "demographic"."gender" | 0.230469 |
CREATE TABLE Lots (lot_id NUMBER, investor_id NUMBER, lot_details VARCHAR2)
CREATE TABLE Transactions (transaction_id NUMBER, investor_id NUMBER, transaction_type_code VARCHAR2, date_of_transaction DATETIME, amount_of_transaction NUMBER, share_count VARCHAR2, other_details VARCHAR2)
CREATE TABLE Purchases (purchase_transaction_id NUMBER, purchase_details VARCHAR2)
CREATE TABLE Investors (investor_id NUMBER, Investor_details VARCHAR2)
CREATE TABLE Sales (sales_transaction_id NUMBER, sales_details VARCHAR2)
CREATE TABLE Ref_Transaction_Types (transaction_type_code VARCHAR2, transaction_type_description VARCHAR2)
CREATE TABLE Transactions_Lots (transaction_id NUMBER, lot_id NUMBER)
| Bar chart x axis date of transaction y axis mean share count | SELECT date_of_transaction, AVG(share_count) FROM Transactions | SELECT "date_of_transaction", AVG("share_count") FROM "Transactions" | 0.066406 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| find the marital status and diagnosis of the subject id 74032. | SELECT demographic.marital_status, demographic.diagnosis FROM demographic WHERE demographic.subject_id = "74032" | SELECT "demographic"."marital_status", "demographic"."diagnosis" FROM "demographic" WHERE "74032" = "demographic"."subject_id" | 0.123047 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| Give the number of patients whose primary disease is overdose and died in or before year 2168. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "OVERDOSE" AND demographic.dod_year <= "2168.0" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2168.0" >= "demographic"."dod_year" AND "OVERDOSE" = "demographic"."diagnosis" | 0.150391 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many patients whose days of hospital stay is greater than 16 and drug route is po? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.days_stay > "16" AND prescriptions.route = "PO" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "PO" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "16" < "demographic"."days_stay" | 0.212891 |
CREATE TABLE table_test_31 ("id" NUMBER, "ejection_fraction_ef" NUMBER, "macular_disease" BOOLEAN, "systemic" BOOLEAN, "alt" FLOAT, "iud" BOOLEAN, "condom_with_spermicide" BOOLEAN, "gender" CLOB, "meropenem" BOOLEAN, "non_q_wave_myocardial_infarction" BOOLEAN, "hbcab" BOOLEAN, "unstable_angina" BOOLEAN, "birth_control_pills" BOOLEAN, "cystic_fibrosis" BOOLEAN, "hbv_surface_antigen_hbsag" BOOLEAN, "oocytes" NUMBER, "severe_dry_eyes" BOOLEAN, "afc" NUMBER, "morphological_characteristics" BOOLEAN, "ovarian_reserve_test" BOOLEAN, "atherectomy" BOOLEAN, "hiv_infection" BOOLEAN, "hormonal_contraceptives" BOOLEAN, "mellitus" BOOLEAN, "poor_ovarian_responder" BOOLEAN, "recurrent_heart_pain" BOOLEAN, "ast" FLOAT, "piperacillin" BOOLEAN, "coronary_conduit" BOOLEAN, "diabetic" CLOB, "elective" BOOLEAN, "ciprofloxacin" BOOLEAN, "colistin" BOOLEAN, "central_vision" BOOLEAN, "serological_tests" BOOLEAN, "inhaled_corticosteroids" BOOLEAN, "angina" BOOLEAN, "surgical_sterilization" BOOLEAN, "retinal_disease" BOOLEAN, "hcv_ab" BOOLEAN, "high_risk_clinical" BOOLEAN, "advanced_maternal_age" BOOLEAN, "antibiotic_treatment" BOOLEAN, "adequate_contraception" BOOLEAN, "uveitis_disease" BOOLEAN, "unprotected_left_main_coronary_artery" BOOLEAN, "ovarian_response" BOOLEAN, "acute_q_wave_myocardial_infarction" BOOLEAN, "urgent_coronary_balloon_angioplasty" BOOLEAN, "asthma" BOOLEAN, "serum_creatinine" FLOAT, "intrauterine_device" BOOLEAN, "kidney_disease" BOOLEAN, "spermicide" BOOLEAN, "fda_approved_device" BOOLEAN, "anti_hepatitis_c_virus_hcv_antibody" BOOLEAN, "active_scleral_disease" BOOLEAN, "barrier_methods" BOOLEAN, "tazobactam" BOOLEAN, "glaucoma" BOOLEAN, "cefepime" BOOLEAN, "depo_provera" BOOLEAN, "organ_failure" BOOLEAN, "dysthyroid_eye_disease" BOOLEAN, "peripheral_arterial_disease" BOOLEAN, "cerebral_infarction" BOOLEAN, "anti_hepatitis_b_core_antibody" BOOLEAN, "hypertension" BOOLEAN, "bilirubin" FLOAT, "risk_factor" BOOLEAN, "myocardial_infarction" BOOLEAN, "lupron_depot" BOOLEAN, "ocular" BOOLEAN, "age" FLOAT, "linezolid" BOOLEAN, "NOUSE" FLOAT)
| treatment of the patients with one or more of the following antibiotics: piperacillin / tazobactam, cefepime, meropenem, ciprofloxacin, linezolid, colistin | SELECT * FROM table_test_31 WHERE antibiotic_treatment = 1 OR (piperacillin = 1 OR tazobactam = 1 OR cefepime = 1 OR meropenem = 1 OR ciprofloxacin = 1 OR linezolid = 1 OR colistin = 1) | SELECT * FROM "table_test_31" WHERE "antibiotic_treatment" = 1 OR "cefepime" = 1 OR "ciprofloxacin" = 1 OR "colistin" = 1 OR "linezolid" = 1 OR "meropenem" = 1 OR "piperacillin" = 1 OR "tazobactam" = 1 | 0.196289 |
CREATE TABLE table_204_589 (id NUMBER, "season" CLOB, "tier" NUMBER, "division" CLOB, "pos." CLOB, "notes" CLOB)
| did the team place higher in the 2002-03 season or the 2003-04 season ? | SELECT "season" FROM table_204_589 WHERE "season" IN ('2002-03', '2003-04') ORDER BY "pos." LIMIT 1 | SELECT "season" FROM "table_204_589" WHERE "season" IN ('2002-03', '2003-04') ORDER BY "pos." FETCH FIRST 1 ROWS ONLY | 0.114258 |
CREATE TABLE table_name_58 (date VARCHAR2, location VARCHAR2, tournament VARCHAR2)
| What date was the Monsanto open located in Florida? | SELECT date FROM table_name_58 WHERE location = "florida" AND tournament = "monsanto open" | SELECT "date" FROM "table_name_58" WHERE "florida" = "location" AND "monsanto open" = "tournament" | 0.095703 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| how many patient are with widowed marital status and lab test fluid ascites? | 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 = "Ascites" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Ascites" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "WIDOWED" = "demographic"."marital_status" | 0.198242 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| what is the number of urgent hospital admission patients who have albuterol 0.083% neb soln prescription? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_type = "URGENT" AND prescriptions.drug = "Albuterol 0.083% Neb Soln" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Albuterol 0.083% Neb Soln" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "URGENT" = "demographic"."admission_type" | 0.243164 |
CREATE TABLE table_203_179 (id NUMBER, "goal" NUMBER, "date" CLOB, "venue" CLOB, "opponent" CLOB, "score" CLOB, "result" CLOB, "competition" CLOB)
| who was the next opponent after germany in 2002 ? | SELECT "opponent" FROM table_203_179 WHERE "date" > (SELECT "date" FROM table_203_179 WHERE "opponent" = 'germany') ORDER BY "date" LIMIT 1 | SELECT "opponent" FROM "table_203_179" WHERE "date" > (SELECT "date" FROM "table_203_179" WHERE "opponent" = 'germany') ORDER BY "date" FETCH FIRST 1 ROWS ONLY | 0.155273 |
CREATE TABLE table_76306 ("Season" CLOB, "Series" CLOB, "Team Name" CLOB, "Races" FLOAT, "Wins" FLOAT, "Poles" FLOAT, "F.L." FLOAT, "Podiums" FLOAT, "Points" CLOB, "Position" CLOB)
| What is the average number of podiums in the 32nd position with less than 0 wins? | SELECT AVG("Podiums") FROM table_76306 WHERE "Position" = '32nd' AND "Wins" < '0' | SELECT AVG("Podiums") FROM "table_76306" WHERE "Position" = '32nd' AND "Wins" < '0' | 0.081055 |
CREATE TABLE table_11604804_5 (location VARCHAR2, nickname VARCHAR2)
| What was the number of location of nickname cbsua formerly known cssac? | SELECT COUNT(location) FROM table_11604804_5 WHERE nickname = "CBSUA formerly known CSSAC" | SELECT COUNT("location") FROM "table_11604804_5" WHERE "CBSUA formerly known CSSAC" = "nickname" | 0.09375 |
CREATE TABLE table_27699 ("Round" FLOAT, "Circuit" CLOB, "Location" CLOB, "Date" CLOB, "Pole position" CLOB, "Fastest lap" CLOB, "Winning driver" CLOB, "Winning team" CLOB, "Supporting" CLOB)
| What circuit was used on August 21? | SELECT "Circuit" FROM table_27699 WHERE "Date" = 'August 21' | SELECT "Circuit" FROM "table_27699" WHERE "Date" = 'August 21' | 0.060547 |
CREATE TABLE Financial_Transactions (transaction_id NUMBER, previous_transaction_id NUMBER, account_id NUMBER, card_id NUMBER, transaction_type VARCHAR2, transaction_date DATETIME, transaction_amount DOUBLE PRECISION, transaction_comment VARCHAR2, other_transaction_details VARCHAR2)
CREATE TABLE Customers (customer_id NUMBER, customer_first_name VARCHAR2, customer_last_name VARCHAR2, customer_address VARCHAR2, customer_phone VARCHAR2, customer_email VARCHAR2, other_customer_details VARCHAR2)
CREATE TABLE Accounts (account_id NUMBER, customer_id NUMBER, account_name VARCHAR2, other_account_details VARCHAR2)
CREATE TABLE Customers_Cards (card_id NUMBER, customer_id NUMBER, card_type_code VARCHAR2, card_number VARCHAR2, date_valid_from DATETIME, date_valid_to DATETIME, other_card_details VARCHAR2)
| What are the different card types, and how many transactions have been made with each Visualize by bar chart, and display by the card_type_code in descending. | SELECT card_type_code, COUNT(*) FROM Financial_Transactions AS T1 JOIN Customers_Cards AS T2 ON T1.card_id = T2.card_id GROUP BY T2.card_type_code ORDER BY card_type_code DESC | SELECT "card_type_code", COUNT(*) FROM "Financial_Transactions" "T1" JOIN "Customers_Cards" "T2" ON "T1"."card_id" = "T2"."card_id" GROUP BY "T2"."card_type_code" ORDER BY "card_type_code" DESC | 0.188477 |
CREATE TABLE reviewer (rid NUMBER, name CLOB)
CREATE TABLE movie (mid NUMBER, title CLOB, year NUMBER, director CLOB)
CREATE TABLE rating (rid NUMBER, mid NUMBER, stars NUMBER, ratingdate TIME)
| What are the names of reviewers who had rated 3 star and 4 star? | SELECT T2.name FROM rating AS T1 JOIN reviewer AS T2 ON T1.rid = T2.rid WHERE T1.stars = 3 INTERSECT SELECT T2.name FROM rating AS T1 JOIN reviewer AS T2 ON T1.rid = T2.rid WHERE T1.stars = 4 | SELECT "T2"."name" FROM "rating" "T1" JOIN "reviewer" "T2" ON "T1"."rid" = "T2"."rid" WHERE "T1"."stars" = 3 INTERSECT SELECT "T2"."name" FROM "rating" "T1" JOIN "reviewer" "T2" ON "T1"."rid" = "T2"."rid" WHERE "T1"."stars" = 4 | 0.22168 |
CREATE TABLE aircraft (aid NUMBER, name VARCHAR2, distance NUMBER)
CREATE TABLE employee (eid NUMBER, name VARCHAR2, salary NUMBER)
CREATE TABLE flight (flno NUMBER, origin VARCHAR2, destination VARCHAR2, distance NUMBER, departure_date DATE, arrival_date DATE, price NUMBER, aid NUMBER)
CREATE TABLE certificate (eid NUMBER, aid NUMBER)
| What are the names and distances for all airplanes Visualize by bar chart, could you rank from high to low by the y-axis? | SELECT name, distance FROM aircraft ORDER BY distance DESC | SELECT "name", "distance" FROM "aircraft" ORDER BY "distance" DESC | 0.064453 |
CREATE TABLE table_name_68 (lner_class VARCHAR2)
| What is the 1913 Class of the d32 LNER Class? | SELECT 1913 AS _class FROM table_name_68 WHERE lner_class = "d32" | SELECT 1913 AS "_class" FROM "table_name_68" WHERE "d32" = "lner_class" | 0.069336 |
CREATE TABLE table_name_48 (result VARCHAR2, week VARCHAR2)
| What was the result of the week 9 game? | SELECT result FROM table_name_48 WHERE week = 9 | SELECT "result" FROM "table_name_48" WHERE "week" = 9 | 0.051758 |
CREATE TABLE table_204_547 (id NUMBER, "rank" NUMBER, "lane" NUMBER, "name" CLOB, "nationality" CLOB, "time" NUMBER, "notes" CLOB)
| who was the fastest , iceland or finland ? | SELECT "nationality" FROM table_204_547 WHERE "nationality" IN ('iceland', 'finland') ORDER BY "time" LIMIT 1 | SELECT "nationality" FROM "table_204_547" WHERE "nationality" IN ('iceland', 'finland') ORDER BY "time" FETCH FIRST 1 ROWS ONLY | 0.124023 |
CREATE TABLE table_54904 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| Which Date has a Venue of lake oval? | SELECT "Date" FROM table_54904 WHERE "Venue" = 'lake oval' | SELECT "Date" FROM "table_54904" WHERE "Venue" = 'lake oval' | 0.058594 |
CREATE TABLE table_59930 ("White" CLOB, "Black" CLOB, "Year" FLOAT, "Result" CLOB, "Moves" FLOAT, "Tournament" CLOB, "Opening" CLOB)
| What's the opening when white is Anand with fewer than 61 moves for a result of ? | SELECT "Opening" FROM table_59930 WHERE "White" = 'anand' AND "Moves" < '61' AND "Result" = '½–½' | SELECT "Opening" FROM "table_59930" WHERE "Moves" < '61' AND "Result" = '½–½' AND "White" = 'anand' | 0.09668 |
CREATE TABLE table_63216 ("Island" CLOB, "Country" CLOB, "Population" CLOB, "Area km\\u00b2" CLOB, "Density ( per km\\u00b2 ) " CLOB)
| Which country has a density (per km ) of 6,814? | SELECT "Country" FROM table_63216 WHERE "Density (per km\u00b2)" = '6,814' | SELECT "Country" FROM "table_63216" WHERE "Density (per km\u00b2)" = '6,814' | 0.074219 |
CREATE TABLE table_447 ("Character ( s ) " CLOB, "First Appearance" CLOB, "Cover Date" CLOB, "Publisher" CLOB, "Estimated Value" CLOB)
| what is the total number of publisher where cover date is may 1939 | SELECT COUNT("Publisher") FROM table_447 WHERE "Cover Date" = 'May 1939' | SELECT COUNT("Publisher") FROM "table_447" WHERE "Cover Date" = 'May 1939' | 0.072266 |
CREATE TABLE Behavior_Incident (student_id VARCHAR2)
CREATE TABLE STUDENTS (student_id VARCHAR2)
| How many students are not involved in any behavior incident? | SELECT COUNT(*) FROM STUDENTS WHERE NOT student_id IN (SELECT student_id FROM Behavior_Incident) | SELECT COUNT(*) FROM "STUDENTS" WHERE NOT "student_id" IN (SELECT "student_id" FROM "Behavior_Incident") | 0.101563 |
CREATE TABLE Employees (Employee_ID NUMBER, Role_Code CHAR, Employee_Name VARCHAR2, Gender_MFU CHAR, Date_of_Birth DATETIME, Other_Details VARCHAR2)
CREATE TABLE Documents_to_be_Destroyed (Document_ID NUMBER, Destruction_Authorised_by_Employee_ID NUMBER, Destroyed_by_Employee_ID NUMBER, Planned_Destruction_Date DATETIME, Actual_Destruction_Date DATETIME, Other_Details VARCHAR2)
CREATE TABLE Ref_Locations (Location_Code CHAR, Location_Name VARCHAR2, Location_Description VARCHAR2)
CREATE TABLE Ref_Calendar (Calendar_Date DATETIME, Day_Number NUMBER)
CREATE TABLE Document_Locations (Document_ID NUMBER, Location_Code CHAR, Date_in_Location_From DATETIME, Date_in_Locaton_To DATETIME)
CREATE TABLE All_Documents (Document_ID NUMBER, Date_Stored DATETIME, Document_Type_Code CHAR, Document_Name CHAR, Document_Description CHAR, Other_Details VARCHAR2)
CREATE TABLE Ref_Document_Types (Document_Type_Code CHAR, Document_Type_Name VARCHAR2, Document_Type_Description VARCHAR2)
CREATE TABLE Roles (Role_Code CHAR, Role_Name VARCHAR2, Role_Description VARCHAR2)
| Show the id of each employee and the number of document destruction authorised by that employee by a scatter chart. | SELECT Destruction_Authorised_by_Employee_ID, COUNT(*) FROM Documents_to_be_Destroyed GROUP BY Destruction_Authorised_by_Employee_ID | SELECT "Destruction_Authorised_by_Employee_ID", COUNT(*) FROM "Documents_to_be_Destroyed" GROUP BY "Destruction_Authorised_by_Employee_ID" | 0.134766 |
CREATE TABLE table_8286 ("Player" CLOB, "PL Apps" FLOAT, "PL G" FLOAT, "CL Apps" FLOAT, "CL G" FLOAT, "FAC / LC Apps" FLOAT, "FAC / LC G" FLOAT, "Total Apps" FLOAT, "Total G" FLOAT, "FA YC" FLOAT, "UEFA YC" FLOAT)
| What is the sum of the FAC/LC apps with less than 25 PC apps and a UEFA YC less than 0? | SELECT SUM("FAC / LC Apps") FROM table_8286 WHERE "PL Apps" < '25' AND "UEFA YC" < '0' | SELECT SUM("FAC / LC Apps") FROM "table_8286" WHERE "PL Apps" < '25' AND "UEFA YC" < '0' | 0.085938 |
CREATE TABLE table_52677 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Series" CLOB)
| What date were the high rebounds Evans (14)? | SELECT "Date" FROM table_52677 WHERE "High rebounds" = 'evans (14)' | SELECT "Date" FROM "table_52677" WHERE "High rebounds" = 'evans (14)' | 0.067383 |
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
| what medication was first prescribed to patient 23858 via the in route since 114 months ago? | SELECT prescriptions.drug FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 23858) AND prescriptions.route = 'in' AND DATETIME(prescriptions.startdate) >= DATETIME(CURRENT_TIME(), '-114 month') ORDER BY prescriptions.startdate LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 23858 GROUP BY "hadm_id") SELECT "prescriptions"."drug" FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."route" = 'in' AND DATETIME("prescriptions"."startdate") >= DATETIME(CURRENT_TIME(), '-114 month') AND NOT "_u_0"."" IS NULL ORDER BY "prescriptions"."startdate" FETCH FIRST 1 ROWS ONLY | 0.436523 |
CREATE TABLE table_name_15 (crowd NUMBER, away_team VARCHAR2)
| How large a crowd did the Fitzroy Away team draw? | SELECT SUM(crowd) FROM table_name_15 WHERE away_team = "fitzroy" | SELECT SUM("crowd") FROM "table_name_15" WHERE "away_team" = "fitzroy" | 0.068359 |
CREATE TABLE table_39165 ("Rank" FLOAT, "Rider" CLOB, "Team" CLOB, "Speed" CLOB, "Time" CLOB)
| What Rider had a Time of 1:01.50.57? | SELECT "Rider" FROM table_39165 WHERE "Time" = '1:01.50.57' | SELECT "Rider" FROM "table_39165" WHERE "Time" = '1:01.50.57' | 0.05957 |
CREATE TABLE table_38095 ("7:00" CLOB, "7:30" CLOB, "8:00" CLOB, "8:30" CLOB, "9:00" CLOB, "9:30" CLOB, "10:00" CLOB, "10:30" CLOB)
| What is the 7:30 feature with an 8:00 feature of Cosby? | SELECT "7:30" FROM table_38095 WHERE "8:00" = 'cosby' | SELECT "7:30" FROM "table_38095" WHERE "8:00" = 'cosby' | 0.053711 |
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is the name of the drug that was prescribed two or more times to patient 16992 in 02/2105? | SELECT t1.drug FROM (SELECT prescriptions.drug, COUNT(prescriptions.startdate) AS c1 FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 16992) AND STRFTIME('%y-%m', prescriptions.startdate) = '2105-02' GROUP BY prescriptions.drug) AS t1 WHERE t1.c1 >= 2 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 16992 GROUP BY "hadm_id"), "t1" AS (SELECT "prescriptions"."drug", COUNT("prescriptions"."startdate") AS "c1" FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND STRFTIME('%y-%m', "prescriptions"."startdate") = '2105-02' GROUP BY "prescriptions"."drug") SELECT "t1"."drug" FROM "t1" "t1" WHERE "t1"."c1" >= 2 | 0.460938 |
CREATE TABLE table_28293 ("Browser" CLOB, "Operating system" CLOB, "Latest stable release" CLOB, "Theora" CLOB, "H.264" CLOB, "VP8 ( WebM ) " CLOB, "VP9 ( WebM ) " CLOB)
| When vp8 ( webm ) is 6.0, how much is the vp9 ( webm )? | SELECT "VP9 ( WebM )" FROM table_28293 WHERE "VP8 ( WebM )" = '6.0' | SELECT "VP9 ( WebM )" FROM "table_28293" WHERE "VP8 ( WebM )" = '6.0' | 0.067383 |
CREATE TABLE table_25057 ("South American Rank" FLOAT, "World Rank" FLOAT, "Nation" CLOB, "2011 ( IMF ) " CLOB, "2008 ( CIA Factbook ) " CLOB)
| Name the least world rank for south american rank 3 | SELECT MIN("World Rank") FROM table_25057 WHERE "South American Rank" = '3' | SELECT MIN("World Rank") FROM "table_25057" WHERE "South American Rank" = '3' | 0.075195 |
CREATE TABLE table_57112 ("College Name" CLOB, "Location" CLOB, "District" CLOB, "Affiliation" CLOB, "Estd" CLOB)
| Where is the coimbatore affilation that was established in 1982? | SELECT "Affiliation" FROM table_57112 WHERE "Estd" = '1982' AND "Location" = 'coimbatore' | SELECT "Affiliation" FROM "table_57112" WHERE "Estd" = '1982' AND "Location" = 'coimbatore' | 0.088867 |
CREATE TABLE table_68685 ("Club" CLOB, "Played" CLOB, "Drawn" CLOB, "Lost" CLOB, "Points for" CLOB, "Points against" CLOB, "Tries for" CLOB, "Tries against" CLOB, "Try bonus" CLOB, "Losing bonus" CLOB, "Points" CLOB)
| For Ynysybwl RFC, what was the losing bonus for 416 points? | SELECT "Losing bonus" FROM table_68685 WHERE "Points for" = '416' AND "Club" = 'ynysybwl rfc' | SELECT "Losing bonus" FROM "table_68685" WHERE "Club" = 'ynysybwl rfc' AND "Points for" = '416' | 0.092773 |
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
| when is patient 1269 receiving an intake for the last time on 11/16/last year? | SELECT inputevents_cv.charttime FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 1269)) AND DATETIME(inputevents_cv.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m-%d', inputevents_cv.charttime) = '11-16' ORDER BY inputevents_cv.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 1269 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id") SELECT "inputevents_cv"."charttime" FROM "inputevents_cv" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "inputevents_cv"."icustay_id" WHERE DATETIME("inputevents_cv"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_1"."" IS NULL AND STRFTIME('%m-%d', "inputevents_cv"."charttime") = '11-16' ORDER BY "inputevents_cv"."charttime" DESC FETCH FIRST 1 ROWS ONLY | 0.674805 |
CREATE TABLE table_51333 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What venue is the home of the Carlton team? | SELECT "Venue" FROM table_51333 WHERE "Home team" = 'carlton' | SELECT "Venue" FROM "table_51333" WHERE "Home team" = 'carlton' | 0.061523 |
CREATE TABLE table_name_91 (score VARCHAR2, date VARCHAR2)
| What was the final score for the game on May 4? | SELECT score FROM table_name_91 WHERE date = "may 4" | SELECT "score" FROM "table_name_91" WHERE "date" = "may 4" | 0.056641 |
CREATE TABLE table_40350 ("From" FLOAT, "Goal" FLOAT, "Round 1" CLOB, "Round 2" CLOB, "Round 3" CLOB, "Round 4" CLOB, "Round 5" CLOB, "Round 6+" CLOB)
| What is the round 6+ that has single as round 2, double as round 4, from 1982? | SELECT "Round 6+" FROM table_40350 WHERE "Round 2" = 'single' AND "Round 4" = 'double' AND "From" = '1982' | SELECT "Round 6+" FROM "table_40350" WHERE "From" = '1982' AND "Round 2" = 'single' AND "Round 4" = 'double' | 0.105469 |
CREATE TABLE record (ID NUMBER, Result CLOB, Swimmer_ID NUMBER, Event_ID NUMBER)
CREATE TABLE event (ID NUMBER, Name CLOB, Stadium_ID NUMBER, Year CLOB)
CREATE TABLE stadium (ID NUMBER, name CLOB, Capacity NUMBER, City CLOB, Country CLOB, Opening_year NUMBER)
CREATE TABLE swimmer (ID NUMBER, name CLOB, Nationality CLOB, meter_100 FLOAT, meter_200 CLOB, meter_300 CLOB, meter_400 CLOB, meter_500 CLOB, meter_600 CLOB, meter_700 CLOB, Time CLOB)
| Draw a bar chart about the distribution of meter_200 and the amount of meter_200 , and group by attribute meter_200, and order by the Y-axis in asc please. | SELECT meter_200, COUNT(meter_200) FROM swimmer GROUP BY meter_200 ORDER BY COUNT(meter_200) | SELECT "meter_200", COUNT("meter_200") FROM "swimmer" GROUP BY "meter_200" ORDER BY COUNT("meter_200") | 0.099609 |
CREATE TABLE table_name_12 (term_start VARCHAR2, term_end VARCHAR2, date_of_birth VARCHAR2)
| When was the start of the leader's term who was born on January 8, 1859 and whose term ended in 1919? | SELECT term_start FROM table_name_12 WHERE term_end = "1919" AND date_of_birth = "january 8, 1859" | SELECT "term_start" FROM "table_name_12" WHERE "1919" = "term_end" AND "date_of_birth" = "january 8, 1859" | 0.103516 |
CREATE TABLE table_29273115_1 (original_air_date VARCHAR2, written_by VARCHAR2)
| On how many different dates was the episode written by Charlie Day aired for the first time? | SELECT COUNT(original_air_date) FROM table_29273115_1 WHERE written_by = "Charlie Day" | SELECT COUNT("original_air_date") FROM "table_29273115_1" WHERE "Charlie Day" = "written_by" | 0.089844 |
CREATE TABLE table_72264 ("State" CLOB, "Preliminaries" CLOB, "Interview" CLOB, "Swimsuit" CLOB, "Evening Gown" CLOB, "Average" CLOB)
| what's the swimsuit where average is 8.670 | SELECT "Swimsuit" FROM table_72264 WHERE "Average" = '8.670' | SELECT "Swimsuit" FROM "table_72264" WHERE "Average" = '8.670' | 0.060547 |
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| how much is the minimum cost for a hospital that contains sutent during this year? | SELECT MIN(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.hadm_id IN (SELECT prescriptions.hadm_id FROM prescriptions WHERE prescriptions.drug = 'sutent') AND DATETIME(cost.chargetime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY cost.hadm_id) AS t1 | WITH "_u_0" AS (SELECT "prescriptions"."hadm_id" FROM "prescriptions" WHERE "prescriptions"."drug" = 'sutent' GROUP BY "hadm_id"), "t1" AS (SELECT SUM("cost"."cost") AS "c1" FROM "cost" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "cost"."hadm_id" WHERE DATETIME("cost"."chargetime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_0"."" IS NULL GROUP BY "cost"."hadm_id") SELECT MIN("t1"."c1") FROM "t1" "t1" | 0.428711 |
CREATE TABLE table_64243 ("School" CLOB, "Location" CLOB, "Mascot" CLOB, "Enrollment" FLOAT, "IHSAA Class" CLOB, "County" CLOB, "Year Joined" FLOAT, "Previous Conference" CLOB)
| Name the IHSAA Class of Mascot of pioneers? | SELECT "IHSAA Class" FROM table_64243 WHERE "Mascot" = 'pioneers' | SELECT "IHSAA Class" FROM "table_64243" WHERE "Mascot" = 'pioneers' | 0.06543 |
CREATE TABLE pilot (pilot_id NUMBER, pilot_name CLOB, rank NUMBER, age NUMBER, nationality CLOB, position CLOB, join_year NUMBER, team CLOB)
CREATE TABLE pilot_record (record_id NUMBER, pilot_id NUMBER, aircraft_id NUMBER, date CLOB)
CREATE TABLE aircraft (aircraft_id NUMBER, order_year NUMBER, manufacturer CLOB, model CLOB, fleet_series CLOB, powertrain CLOB, fuel_propulsion CLOB)
| Show the names of pilots and fleet series of the aircrafts they have flied with in ascending order of the rank of the pilot. | SELECT T3.pilot_name, T2.fleet_series FROM pilot_record AS T1 JOIN aircraft AS T2 ON T1.aircraft_id = T2.aircraft_id JOIN pilot AS T3 ON T1.pilot_id = T3.pilot_id ORDER BY T3.rank | SELECT "T3"."pilot_name", "T2"."fleet_series" FROM "pilot_record" "T1" JOIN "aircraft" "T2" ON "T1"."aircraft_id" = "T2"."aircraft_id" JOIN "pilot" "T3" ON "T1"."pilot_id" = "T3"."pilot_id" ORDER BY "T3"."rank" | 0.205078 |
CREATE TABLE table_name_37 (attendance NUMBER, week VARCHAR2)
| What was the highest attendance on week 13? | SELECT MAX(attendance) FROM table_name_37 WHERE week = 13 | SELECT MAX("attendance") FROM "table_name_37" WHERE "week" = 13 | 0.061523 |
CREATE TABLE table_79614 ("Round" CLOB, "Date" CLOB, "Opponent" CLOB, "Venue" CLOB, "Result" CLOB, "Attendance" FLOAT, "Goalscorers" CLOB)
| Which venue has attendance larger than 26,526, and sf first leg round? | SELECT "Venue" FROM table_79614 WHERE "Attendance" > '26,526' AND "Round" = 'sf first leg' | SELECT "Venue" FROM "table_79614" WHERE "Attendance" > '26,526' AND "Round" = 'sf first leg' | 0.089844 |
CREATE TABLE table_12315 ("Date" CLOB, "Score" CLOB, "Set 1" CLOB, "Set 2" CLOB, "Total" CLOB)
| What is the score for Set 2 at 15:21? | SELECT "Score" FROM table_12315 WHERE "Set 2" = '15:21' | SELECT "Score" FROM "table_12315" WHERE "Set 2" = '15:21' | 0.055664 |
CREATE TABLE table_train_155 ("id" NUMBER, "cholesterol" FLOAT, "bleeding" NUMBER, "systolic_blood_pressure_sbp" NUMBER, "diabetic" CLOB, "hyperlipidemia" BOOLEAN, "creatinine_clearance_cl" FLOAT, "platelet_count" FLOAT, "hypertension" BOOLEAN, "NOUSE" FLOAT)
| increased risk of bleeding ( platelet count < 80 | SELECT * FROM table_train_155 WHERE bleeding = 1 OR platelet_count < 80 | SELECT * FROM "table_train_155" WHERE "bleeding" = 1 OR "platelet_count" < 80 | 0.075195 |
CREATE TABLE table_203_494 (id NUMBER, "party" CLOB, "votes" NUMBER, "%" NUMBER, "swing" NUMBER, "seats" NUMBER, "change" NUMBER)
| which party held the most seats but had a lesser turnout ? | SELECT "party" FROM table_203_494 ORDER BY "seats" DESC LIMIT 1 | SELECT "party" FROM "table_203_494" ORDER BY "seats" DESC FETCH FIRST 1 ROWS ONLY | 0.079102 |
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
| For all employees who have the letters D or S in their first name, show me about the distribution of hire_date and the sum of department_id bin hire_date by time in a bar chart, I want to list by the sum department id in ascending. | SELECT HIRE_DATE, SUM(DEPARTMENT_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY SUM(DEPARTMENT_ID) | SELECT "HIRE_DATE", SUM("DEPARTMENT_ID") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' ORDER BY SUM("DEPARTMENT_ID") | 0.140625 |
CREATE TABLE table_37109 ("Position" FLOAT, "Team" CLOB, "Points" FLOAT, "Played" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Against" FLOAT, "Difference" CLOB)
| Which average Drawn has Points smaller than 14, and a Lost smaller than 4, and a Played larger than 9? | SELECT AVG("Drawn") FROM table_37109 WHERE "Points" < '14' AND "Lost" < '4' AND "Played" > '9' | SELECT AVG("Drawn") FROM "table_37109" WHERE "Lost" < '4' AND "Played" > '9' AND "Points" < '14' | 0.09375 |
CREATE TABLE table_1745843_10 (part_1 VARCHAR2, verb_meaning VARCHAR2)
| How many verbs mean to grow, to produce | SELECT COUNT(part_1) FROM table_1745843_10 WHERE verb_meaning = "to grow, to produce" | SELECT COUNT("part_1") FROM "table_1745843_10" WHERE "to grow, to produce" = "verb_meaning" | 0.088867 |
CREATE TABLE table_23245 ("Rank" FLOAT, "Couple" CLOB, "Judges" FLOAT, "Public" FLOAT, "Total" FLOAT, "Vote percentage" CLOB, "Result" CLOB)
| For couple Todd and Susie, what was the vote percentage? | SELECT "Vote percentage" FROM table_23245 WHERE "Couple" = 'Todd and Susie' | SELECT "Vote percentage" FROM "table_23245" WHERE "Couple" = 'Todd and Susie' | 0.075195 |
CREATE TABLE table_name_34 (winners VARCHAR2, runners_up VARCHAR2)
| Who was the winner when the runner-up was Guangzhou Apollo? | SELECT winners FROM table_name_34 WHERE runners_up = "guangzhou apollo" | SELECT "winners" FROM "table_name_34" WHERE "guangzhou apollo" = "runners_up" | 0.075195 |
CREATE TABLE table_60481 ("Edition" CLOB, "Round" CLOB, "Date" CLOB, "Surface" CLOB, "Opponent" CLOB, "Result" CLOB)
| What clay surface edition had an opponent of miho saeki? | SELECT "Edition" FROM table_60481 WHERE "Surface" = 'clay' AND "Opponent" = 'miho saeki' | SELECT "Edition" FROM "table_60481" WHERE "Opponent" = 'miho saeki' AND "Surface" = 'clay' | 0.087891 |
CREATE TABLE table_204_722 (id NUMBER, "season" CLOB, "series" CLOB, "team" CLOB, "races" NUMBER, "wins" NUMBER, "poles" NUMBER, "f/lap" NUMBER, "podiums" NUMBER, "points" NUMBER, "position" CLOB)
| what is the number of poles that daly has won in his career ? | SELECT SUM("poles") FROM table_204_722 | SELECT SUM("poles") FROM "table_204_722" | 0.039063 |
CREATE TABLE table_65932 ("Name" CLOB, "Language" CLOB, "Owner" CLOB, "Group" CLOB, "Type" CLOB)
| What is the type of station for ESPN International Sports? | SELECT "Type" FROM table_65932 WHERE "Name" = 'espn international sports' | SELECT "Type" FROM "table_65932" WHERE "Name" = 'espn international sports' | 0.073242 |
CREATE TABLE table_name_32 (crowd NUMBER, away_team VARCHAR2)
| What is the largest crowd for an Away team of st kilda? | SELECT MAX(crowd) FROM table_name_32 WHERE away_team = "st kilda" | SELECT MAX("crowd") FROM "table_name_32" WHERE "away_team" = "st kilda" | 0.069336 |
CREATE TABLE table_203_695 (id NUMBER, "draw" NUMBER, "artist" CLOB, "song" CLOB, "points" NUMBER, "place" CLOB)
| what song received the most points ? | SELECT "song" FROM table_203_695 ORDER BY "points" DESC LIMIT 1 | SELECT "song" FROM "table_203_695" ORDER BY "points" DESC FETCH FIRST 1 ROWS ONLY | 0.079102 |
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
| Matlab and Python questions per Month. | SELECT *, COUNT(*) AS count FROM (SELECT DATEADD(MONTH, DATEDIFF(MONTH, 0, CreationDate), 0) AS "month", t.TagName AS "tag" FROM Posts AS p JOIN PostTags AS pt ON pt.PostId = p.Id JOIN Tags AS t ON t.Id = pt.TagId WHERE t.TagName IN ('python', 'matlab', 'simulink')) AS X GROUP BY 'tag', month ORDER BY 'tag', month | WITH "X" AS (SELECT DATEADD("MONTH", DATEDIFF(CAST("MONTH" AS DATETIME), CAST(0 AS DATETIME), CREATIONDATE), 0) AS "month", "t"."TagName" AS "tag" FROM "Posts" "p" JOIN "PostTags" "pt" ON "p"."Id" = "pt"."PostId" JOIN "Tags" "t" ON "pt"."TagId" = "t"."Id" AND "t"."TagName" IN ('python', 'matlab', 'simulink')) SELECT *, COUNT(*) AS "count" FROM "X" "X" GROUP BY 'tag', "month" ORDER BY 'tag', "month" | 0.391602 |
CREATE TABLE table_name_95 (top_25 VARCHAR2, top_10 VARCHAR2)
| What is the total number of top-25s for the major that has 11 top-10s? | SELECT COUNT(top_25) FROM table_name_95 WHERE top_10 = 11 | SELECT COUNT("top_25") FROM "table_name_95" WHERE "top_10" = 11 | 0.061523 |
CREATE TABLE table_62068 ("Mininera DFL" CLOB, "Wins" FLOAT, "Byes" FLOAT, "Losses" FLOAT, "Draws" FLOAT, "Against" FLOAT)
| How many wins for team with 1800 Against and more than 0 byes? | SELECT MAX("Wins") FROM table_62068 WHERE "Against" = '1800' AND "Draws" > '0' | SELECT MAX("Wins") FROM "table_62068" WHERE "Against" = '1800' AND "Draws" > '0' | 0.078125 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is the number of patients whose admission year is less than 2166 and procedure long title is arterial catheterization? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admityear < "2166" AND procedures.long_title = "Arterial catheterization" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Arterial catheterization" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "2166" > "demographic"."admityear" | 0.232422 |
CREATE TABLE table_10748727_1 (points VARCHAR2, series VARCHAR2, team_name VARCHAR2)
| how much did the british formula three called 'fortec motorsport' score? | SELECT points FROM table_10748727_1 WHERE series = "British Formula Three" AND team_name = "Fortec Motorsport" | SELECT "points" FROM "table_10748727_1" WHERE "British Formula Three" = "series" AND "Fortec Motorsport" = "team_name" | 0.115234 |
CREATE TABLE table_65433 ("Date" CLOB, "Location" CLOB, "Lineup" CLOB, "Assist/pass" CLOB, "Score" CLOB, "Result" CLOB, "Competition" CLOB)
| What's the lineup when the assist/pass was Unassisted? | SELECT "Lineup" FROM table_65433 WHERE "Assist/pass" = 'unassisted' | SELECT "Lineup" FROM "table_65433" WHERE "Assist/pass" = 'unassisted' | 0.067383 |
CREATE TABLE table_48907 ("Episode #" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Originalairdate" CLOB)
| What is Written By, when Originalairdate is 25 April 1993? | SELECT "Written by" FROM table_48907 WHERE "Originalairdate" = '25 april 1993' | SELECT "Written by" FROM "table_48907" WHERE "Originalairdate" = '25 april 1993' | 0.078125 |
CREATE TABLE table_27715173_10 (score VARCHAR2, high_rebounds VARCHAR2)
| What was the team score when Tim Duncan (12) got the high rebounds? | SELECT score FROM table_27715173_10 WHERE high_rebounds = "Tim Duncan (12)" | SELECT "score" FROM "table_27715173_10" WHERE "Tim Duncan (12)" = "high_rebounds" | 0.079102 |
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 patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
| what is the change in the amount of wbc x 1000 in patient 017-45919 second measured on the current hospital visit compared to the first value measured on the current hospital visit? | SELECT (SELECT lab.labresult FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '017-45919' AND patient.hospitaldischargetime IS NULL)) AND lab.labname = 'wbc x 1000' ORDER BY lab.labresulttime LIMIT 1 OFFSET 1) - (SELECT lab.labresult FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '017-45919' AND patient.hospitaldischargetime IS NULL)) AND lab.labname = 'wbc x 1000' ORDER BY lab.labresulttime LIMIT 1) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."hospitaldischargetime" IS NULL AND "patient"."uniquepid" = '017-45919' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid"), "_u_4" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_3" ON "_u_3"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_3"."" IS NULL GROUP BY "patientunitstayid") SELECT (SELECT "lab"."labresult" FROM "lab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'wbc x 1000' AND NOT "_u_1"."" IS NULL ORDER BY "lab"."labresulttime" OFFSET 1 ROWS FETCH FIRST 1 ROWS ONLY) - (SELECT "lab"."labresult" FROM "lab" LEFT JOIN "_u_4" "_u_4" ON "_u_4"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'wbc x 1000' AND NOT "_u_4"."" IS NULL ORDER BY "lab"."labresulttime" FETCH FIRST 1 ROWS ONLY) | 1.039063 |
CREATE TABLE table_18405 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" FLOAT, "Result" CLOB, "Candidates" CLOB)
| Who was the winner in the Louisiana 7 district? | SELECT "Incumbent" FROM table_18405 WHERE "District" = 'Louisiana 7' | SELECT "Incumbent" FROM "table_18405" WHERE "District" = 'Louisiana 7' | 0.068359 |
CREATE TABLE table_16279520_1 (series VARCHAR2, release VARCHAR2)
| Under what series was the 3.5 release? | SELECT series FROM table_16279520_1 WHERE release = "3.5" | SELECT "series" FROM "table_16279520_1" WHERE "3.5" = "release" | 0.061523 |
CREATE TABLE table_10048 ("Date" CLOB, "Venue" CLOB, "Score" CLOB, "Result" CLOB, "Competition" CLOB)
| Which Result has a Competition of 2014 fifa world cup qualification, and a Score of 2 0? | SELECT "Result" FROM table_10048 WHERE "Competition" = '2014 fifa world cup qualification' AND "Score" = '2 – 0' | SELECT "Result" FROM "table_10048" WHERE "Competition" = '2014 fifa world cup qualification' AND "Score" = '2 – 0' | 0.111328 |
CREATE TABLE table_name_98 (_percentage__1960_ VARCHAR2, _percentage__2040_ VARCHAR2)
| What is the % (1960) of the county with a % (2040) of 3.4? | SELECT COUNT(_percentage__1960_) FROM table_name_98 WHERE _percentage__2040_ = 3.4 | SELECT COUNT("_percentage__1960_") FROM "table_name_98" WHERE "_percentage__2040_" = 3.4 | 0.085938 |
CREATE TABLE table_18638067_1 (actor_actress VARCHAR2, film_title_used_in_nomination VARCHAR2, category VARCHAR2)
| Who was nominated for best supporting actor in the movie Going My Way? | SELECT actor_actress FROM table_18638067_1 WHERE film_title_used_in_nomination = "Going My Way" AND category = "Best Supporting Actor" | SELECT "actor_actress" FROM "table_18638067_1" WHERE "Best Supporting Actor" = "category" AND "Going My Way" = "film_title_used_in_nomination" | 0.138672 |
CREATE TABLE table_name_50 (competition VARCHAR2, result VARCHAR2)
| What Competition has a Result of Draw? | SELECT competition FROM table_name_50 WHERE result = "draw" | SELECT "competition" FROM "table_name_50" WHERE "draw" = "result" | 0.063477 |
CREATE TABLE party_addresses (party_id NUMBER, address_id NUMBER, date_address_from TIME, address_type_code CLOB, date_address_to TIME)
CREATE TABLE organizations (organization_id NUMBER, date_formed TIME, organization_name CLOB, uk_vat_number CLOB)
CREATE TABLE services (service_id NUMBER, service_type_code CLOB, service_name CLOB, service_descriptio CLOB)
CREATE TABLE parties (party_id NUMBER, payment_method_code CLOB, party_phone CLOB, party_email CLOB)
CREATE TABLE forms (form_id NUMBER, form_type_code CLOB, service_id NUMBER, form_number CLOB, form_name CLOB, form_description CLOB)
CREATE TABLE party_services (booking_id NUMBER, customer_id NUMBER, service_id NUMBER, service_datetime TIME, booking_made_date TIME)
CREATE TABLE addresses (address_id NUMBER, line_1_number_building CLOB, town_city CLOB, zip_postcode CLOB, state_province_county CLOB, country CLOB)
CREATE TABLE party_forms (party_id NUMBER, form_id NUMBER, date_completion_started TIME, form_status_code CLOB, date_fully_completed TIME)
CREATE TABLE individuals (individual_id NUMBER, individual_first_name CLOB, individual_middle_name CLOB, inidividual_phone CLOB, individual_email CLOB, individual_address CLOB, individual_last_name CLOB)
CREATE TABLE organization_contact_individuals (individual_id NUMBER, organization_id NUMBER, date_contact_from TIME, date_contact_to TIME)
| What are the names of all cities and states? | SELECT town_city FROM addresses UNION SELECT state_province_county FROM addresses | SELECT "town_city" FROM "addresses" UNION SELECT "state_province_county" FROM "addresses" | 0.086914 |
CREATE TABLE table_16350 ("Year [e ] ( Ceremony ) " CLOB, "Film title used in nomination" CLOB, "Original title" CLOB, "Director" CLOB, "Result" CLOB)
| Who were the directors of the film with the original title o.k.? | SELECT "Director" FROM table_16350 WHERE "Original title" = 'o.k.' | SELECT "Director" FROM "table_16350" WHERE "Original title" = 'o.k.' | 0.066406 |
CREATE TABLE table_77637 ("Driver" CLOB, "Constructor" CLOB, "Laps" FLOAT, "Time/Retired" CLOB, "Grid" FLOAT)
| What was Alexander Wurz's highest grid with laps of less than 25? | SELECT MAX("Grid") FROM table_77637 WHERE "Driver" = 'alexander wurz' AND "Laps" < '25' | SELECT MAX("Grid") FROM "table_77637" WHERE "Driver" = 'alexander wurz' AND "Laps" < '25' | 0.086914 |
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