schema
stringlengths 29
5.42k
| question
stringlengths 0
752
| rejected
stringlengths 2
4.44k
| chosen
stringlengths 4
8.94k
| weight
float64 0
8.73
|
|---|---|---|---|---|
CREATE TABLE Performers_in_Bookings (Order_ID NUMBER, Performer_ID NUMBER)
CREATE TABLE Customer_Orders (Order_ID NUMBER, Customer_ID NUMBER, Store_ID NUMBER, Order_Date DATETIME, Planned_Delivery_Date DATETIME, Actual_Delivery_Date DATETIME, Other_Order_Details VARCHAR2)
CREATE TABLE Bookings (Booking_ID NUMBER, Customer_ID NUMBER, Workshop_Group_ID VARCHAR2, Status_Code CHAR, Store_ID NUMBER, Order_Date DATETIME, Planned_Delivery_Date DATETIME, Actual_Delivery_Date DATETIME, Other_Order_Details VARCHAR2)
CREATE TABLE Stores (Store_ID VARCHAR2, Address_ID NUMBER, Marketing_Region_Code CHAR, Store_Name VARCHAR2, Store_Phone VARCHAR2, Store_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Customers (Customer_ID VARCHAR2, Address_ID NUMBER, Customer_Name VARCHAR2, Customer_Phone VARCHAR2, Customer_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Addresses (Address_ID VARCHAR2, Line_1 VARCHAR2, Line_2 VARCHAR2, City_Town VARCHAR2, State_County VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Ref_Service_Types (Service_Type_Code CHAR, Parent_Service_Type_Code CHAR, Service_Type_Description VARCHAR2)
CREATE TABLE Order_Items (Order_Item_ID NUMBER, Order_ID NUMBER, Product_ID NUMBER, Order_Quantity VARCHAR2, Other_Item_Details VARCHAR2)
CREATE TABLE Clients (Client_ID NUMBER, Address_ID NUMBER, Customer_Email_Address VARCHAR2, Customer_Name VARCHAR2, Customer_Phone VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Products (Product_ID VARCHAR2, Product_Name VARCHAR2, Product_Price NUMBER, Product_Description VARCHAR2, Other_Product_Service_Details VARCHAR2)
CREATE TABLE Invoices (Invoice_ID NUMBER, Order_ID NUMBER, payment_method_code CHAR, Product_ID NUMBER, Order_Quantity VARCHAR2, Other_Item_Details VARCHAR2, Order_Item_ID NUMBER)
CREATE TABLE Invoice_Items (Invoice_Item_ID NUMBER, Invoice_ID NUMBER, Order_ID NUMBER, Order_Item_ID NUMBER, Product_ID NUMBER, Order_Quantity NUMBER, Other_Item_Details VARCHAR2)
CREATE TABLE Drama_Workshop_Groups (Workshop_Group_ID NUMBER, Address_ID NUMBER, Currency_Code CHAR, Marketing_Region_Code CHAR, Store_Name VARCHAR2, Store_Phone VARCHAR2, Store_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Services (Service_ID NUMBER, Service_Type_Code CHAR, Workshop_Group_ID NUMBER, Product_Description VARCHAR2, Product_Name VARCHAR2, Product_Price NUMBER, Other_Product_Service_Details VARCHAR2)
CREATE TABLE Performers (Performer_ID NUMBER, Address_ID NUMBER, Customer_Name VARCHAR2, Customer_Phone VARCHAR2, Customer_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Ref_Payment_Methods (payment_method_code CHAR, payment_method_description VARCHAR2)
CREATE TABLE Bookings_Services (Order_ID NUMBER, Product_ID NUMBER)
CREATE TABLE Marketing_Regions (Marketing_Region_Code CHAR, Marketing_Region_Name VARCHAR2, Marketing_Region_Descriptrion VARCHAR2, Other_Details VARCHAR2)
| Can you draw the trend of the number of actual delivery date over the actual delivery date?, order X-axis from high to low order. | SELECT Actual_Delivery_Date, COUNT(Actual_Delivery_Date) FROM Bookings ORDER BY Actual_Delivery_Date DESC | SELECT "Actual_Delivery_Date", COUNT("Actual_Delivery_Date") FROM "Bookings" ORDER BY "Actual_Delivery_Date" DESC | 0.110352 |
CREATE TABLE table_name_18 (gold NUMBER, total VARCHAR2, silver VARCHAR2, nation VARCHAR2)
| What is the sum of the gold medals for the nation of Great britain who had more than 8 silvers and a total of less than 61 medals? | SELECT SUM(gold) FROM table_name_18 WHERE silver > 8 AND nation = "great britain" AND total < 61 | SELECT SUM("gold") FROM "table_name_18" WHERE "great britain" = "nation" AND "silver" > 8 AND "total" < 61 | 0.103516 |
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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_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 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 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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label 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 d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title 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 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 labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| in 2104, what are the top five most commonly prescribed drugs to patients within the same hospital visit after having been diagnosed with pois-arom analgesics nec? | SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, diagnoses_icd.charttime, admissions.hadm_id FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'pois-arom analgesics nec') AND STRFTIME('%y', diagnoses_icd.charttime) = '2104') AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate, admissions.hadm_id FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE STRFTIME('%y', prescriptions.startdate) = '2104') AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.startdate AND t1.hadm_id = t2.hadm_id GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 5 | WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate", "admissions"."hadm_id" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" WHERE STRFTIME('%y', "prescriptions"."startdate") = '2104'), "t3" AS (SELECT "t2"."drug", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'pois-arom analgesics nec' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "t2" "t2" ON "admissions"."hadm_id" = "t2"."hadm_id" AND "admissions"."subject_id" = "t2"."subject_id" AND "diagnoses_icd"."charttime" < "t2"."startdate" WHERE STRFTIME('%y', "diagnoses_icd"."charttime") = '2104' GROUP BY "t2"."drug") SELECT "t3"."drug" FROM "t3" "t3" WHERE "t3"."c1" <= 5 | 0.875 |
CREATE TABLE table_name_91 (date VARCHAR2, away_team VARCHAR2)
| What is Date, when Away Team is 'Liverpool'? | SELECT date FROM table_name_91 WHERE away_team = "liverpool" | SELECT "date" FROM "table_name_91" WHERE "away_team" = "liverpool" | 0.064453 |
CREATE TABLE table_name_86 (save VARCHAR2, opponent VARCHAR2, date VARCHAR2)
| Name the save for braves for may 15 | SELECT save FROM table_name_86 WHERE opponent = "braves" AND date = "may 15" | SELECT "save" FROM "table_name_86" WHERE "braves" = "opponent" AND "date" = "may 15" | 0.082031 |
CREATE TABLE table_58852 ("Drug" CLOB, "Mean" FLOAT, "Pleasure" FLOAT, "Psychological dependence" FLOAT, "Physical dependence" FLOAT)
| What is the average Mean, when Drug is 'Alcohol', and when Psychological Dependence is greater than 1.9? | SELECT AVG("Mean") FROM table_58852 WHERE "Drug" = 'alcohol' AND "Psychological dependence" > '1.9' | SELECT AVG("Mean") FROM "table_58852" WHERE "Drug" = 'alcohol' AND "Psychological dependence" > '1.9' | 0.098633 |
CREATE TABLE table_3569 ("District" FLOAT, "Incumbent" CLOB, "Party" CLOB, "Elected" CLOB, "Status" CLOB, "2010 Candidates" CLOB)
| What was the status of the election featuring incumbent margaret kaiser? | SELECT "Status" FROM table_3569 WHERE "Incumbent" = 'Margaret Kaiser' | SELECT "Status" FROM "table_3569" WHERE "Incumbent" = 'Margaret Kaiser' | 0.069336 |
CREATE TABLE table_44801 ("Outcome" CLOB, "Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Opponent" CLOB, "Score" CLOB)
| What is Tournament, when Outcome is Winner, and when Date is 13 July 2013? | SELECT "Tournament" FROM table_44801 WHERE "Outcome" = 'winner' AND "Date" = '13 july 2013' | SELECT "Tournament" FROM "table_44801" WHERE "Date" = '13 july 2013' AND "Outcome" = 'winner' | 0.09082 |
CREATE TABLE table_54352 ("Round" FLOAT, "Pick" FLOAT, "Player" CLOB, "Position" CLOB, "Nationality" CLOB, "School/Club Team" CLOB)
| What position has round less than 2? | SELECT "Position" FROM table_54352 WHERE "Round" < '2' | SELECT "Position" FROM "table_54352" WHERE "Round" < '2' | 0.054688 |
CREATE TABLE table_35230 ("Game" FLOAT, "Date" FLOAT, "Opponent" CLOB, "Score" CLOB, "Location/attendance" CLOB, "Record" CLOB)
| What is the latest date at Los Angeles with a game less than 62? | SELECT MAX("Date") FROM table_35230 WHERE "Location/attendance" = 'los angeles' AND "Game" < '62' | SELECT MAX("Date") FROM "table_35230" WHERE "Game" < '62' AND "Location/attendance" = 'los angeles' | 0.09668 |
CREATE TABLE table_45955 ("Rider" CLOB, "Manufacturer" CLOB, "Laps" FLOAT, "Time" CLOB, "Grid" FLOAT)
| How many Laps have Grid larger than 14, and a Rider of sylvain guintoli? | SELECT COUNT("Laps") FROM table_45955 WHERE "Grid" > '14' AND "Rider" = 'sylvain guintoli' | SELECT COUNT("Laps") FROM "table_45955" WHERE "Grid" > '14' AND "Rider" = 'sylvain guintoli' | 0.089844 |
CREATE TABLE table_78516 ("Date" CLOB, "Visiting Team" CLOB, "Final Score" CLOB, "Host Team" CLOB, "Stadium" CLOB)
| Tell me the visiting team for october 4 | SELECT "Visiting Team" FROM table_78516 WHERE "Date" = 'october 4' | SELECT "Visiting Team" FROM "table_78516" WHERE "Date" = 'october 4' | 0.066406 |
CREATE TABLE Nurse (EmployeeID NUMBER, Name VARCHAR2, Position VARCHAR2, Registered BOOLEAN, SSN NUMBER)
CREATE TABLE Affiliated_With (Physician NUMBER, Department NUMBER, PrimaryAffiliation BOOLEAN)
CREATE TABLE Undergoes (Patient NUMBER, Procedures NUMBER, Stay NUMBER, DateUndergoes DATETIME, Physician NUMBER, AssistingNurse NUMBER)
CREATE TABLE Patient (SSN NUMBER, Name VARCHAR2, Address VARCHAR2, Phone VARCHAR2, InsuranceID NUMBER, PCP NUMBER)
CREATE TABLE Prescribes (Physician NUMBER, Patient NUMBER, Medication NUMBER, Date DATETIME, Appointment NUMBER, Dose VARCHAR2)
CREATE TABLE Department (DepartmentID NUMBER, Name VARCHAR2, Head NUMBER)
CREATE TABLE On_Call (Nurse NUMBER, BlockFloor NUMBER, BlockCode NUMBER, OnCallStart DATETIME, OnCallEnd DATETIME)
CREATE TABLE Trained_In (Physician NUMBER, Treatment NUMBER, CertificationDate DATETIME, CertificationExpires DATETIME)
CREATE TABLE Appointment (AppointmentID NUMBER, Patient NUMBER, PrepNurse NUMBER, Physician NUMBER, Start DATETIME, End DATETIME, ExaminationRoom CLOB)
CREATE TABLE Procedures (Code NUMBER, Name VARCHAR2, Cost FLOAT)
CREATE TABLE Physician (EmployeeID NUMBER, Name VARCHAR2, Position VARCHAR2, SSN NUMBER)
CREATE TABLE Block (BlockFloor NUMBER, BlockCode NUMBER)
CREATE TABLE Stay (StayID NUMBER, Patient NUMBER, Room NUMBER, StayStart DATETIME, StayEnd DATETIME)
CREATE TABLE Medication (Code NUMBER, Name VARCHAR2, Brand VARCHAR2, Description VARCHAR2)
CREATE TABLE Room (RoomNumber NUMBER, RoomType VARCHAR2, BlockFloor NUMBER, BlockCode NUMBER, Unavailable BOOLEAN)
| Find the physicians who are trained in a procedure that costs more than 5000, and count them by a bar chart, and sort total number in desc order. | SELECT T1.Name, COUNT(T1.Name) FROM Physician AS T1 JOIN Trained_In AS T2 ON T1.EmployeeID = T2.Physician JOIN Procedures AS T3 ON T3.Code = T2.Treatment WHERE T3.Cost > 5000 GROUP BY T1.Name ORDER BY COUNT(T1.Name) DESC | SELECT "T1"."Name", COUNT("T1"."Name") FROM "Physician" "T1" JOIN "Trained_In" "T2" ON "T1"."EmployeeID" = "T2"."Physician" JOIN "Procedures" "T3" ON "T2"."Treatment" = "T3"."Code" AND "T3"."Cost" > 5000 GROUP BY "T1"."Name" ORDER BY COUNT("T1"."Name") DESC | 0.250977 |
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)
| how many days has it been since patient 92846 first adrenal hypofunction nec diagnosis in their current hospital encounter? | SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', diagnoses_icd.charttime)) FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'adrenal hypofunction nec') AND diagnoses_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 92846 AND admissions.dischtime IS NULL) ORDER BY diagnoses_icd.charttime LIMIT 1 | WITH "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 92846 GROUP BY "hadm_id") SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "diagnoses_icd"."charttime")) FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'adrenal hypofunction nec' LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "diagnoses_icd"."hadm_id" WHERE NOT "_u_1"."" IS NULL ORDER BY "diagnoses_icd"."charttime" FETCH FIRST 1 ROWS ONLY | 0.5625 |
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
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 CLOB, labresult NUMBER, labresulttime 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 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 microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
| in the case of patients who received a cultures - pleural fluid until 3 years ago, what were the four most frequent lab tests that followed in the same hospital encounter? | SELECT t3.labname FROM (SELECT t2.labname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, treatment.treatmenttime, patient.patienthealthsystemstayid FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'cultures - pleural fluid' AND DATETIME(treatment.treatmenttime) <= DATETIME(CURRENT_TIME(), '-3 year')) AS t1 JOIN (SELECT patient.uniquepid, lab.labname, lab.labresulttime, patient.patienthealthsystemstayid FROM lab JOIN patient ON lab.patientunitstayid = patient.patientunitstayid WHERE DATETIME(lab.labresulttime) <= DATETIME(CURRENT_TIME(), '-3 year')) AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.treatmenttime < t2.labresulttime AND t1.patienthealthsystemstayid = t2.patienthealthsystemstayid GROUP BY t2.labname) AS t3 WHERE t3.c1 <= 4 | WITH "t2" AS (SELECT "patient"."uniquepid", "lab"."labname", "lab"."labresulttime", "patient"."patienthealthsystemstayid" FROM "lab" JOIN "patient" ON "lab"."patientunitstayid" = "patient"."patientunitstayid" WHERE DATETIME("lab"."labresulttime") <= DATETIME(CURRENT_TIME(), '-3 year')), "t3" AS (SELECT "t2"."labname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "treatment" JOIN "patient" ON "patient"."patientunitstayid" = "treatment"."patientunitstayid" JOIN "t2" "t2" ON "patient"."patienthealthsystemstayid" = "t2"."patienthealthsystemstayid" AND "patient"."uniquepid" = "t2"."uniquepid" AND "t2"."labresulttime" > "treatment"."treatmenttime" WHERE "treatment"."treatmentname" = 'cultures - pleural fluid' AND DATETIME("treatment"."treatmenttime") <= DATETIME(CURRENT_TIME(), '-3 year') GROUP BY "t2"."labname") SELECT "t3"."labname" FROM "t3" "t3" WHERE "t3"."c1" <= 4 | 0.866211 |
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 lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime 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 medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
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 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)
| on the first hospital visit, patient 006-193056 has been allergic to any substance? | SELECT COUNT(*) > 0 FROM allergy WHERE allergy.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-193056' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime LIMIT 1)) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '006-193056' AND NOT "patient"."hospitaldischargetime" IS NULL GROUP BY "patienthealthsystemstayid" ORDER BY "patient"."hospitaladmittime" FETCH FIRST 1 ROWS ONLY), "_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 "allergy" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "allergy"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL | 0.585938 |
CREATE TABLE table_562 ("Club" CLOB, "Played" CLOB, "Won" 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)
| What is the tries against when the won is 14? | SELECT "Tries against" FROM table_562 WHERE "Won" = '14' | SELECT "Tries against" FROM "table_562" WHERE "Won" = '14' | 0.056641 |
CREATE TABLE table_14342210_6 (points NUMBER, position VARCHAR2)
| Which left end player made the most points? | SELECT MAX(points) FROM table_14342210_6 WHERE position = "Left end" | SELECT MAX("points") FROM "table_14342210_6" WHERE "Left end" = "position" | 0.072266 |
CREATE TABLE PROFESSOR (EMP_NUM NUMBER, DEPT_CODE VARCHAR2, PROF_OFFICE VARCHAR2, PROF_EXTENSION VARCHAR2, PROF_HIGH_DEGREE VARCHAR2)
CREATE TABLE COURSE (CRS_CODE VARCHAR2, DEPT_CODE VARCHAR2, CRS_DESCRIPTION VARCHAR2, CRS_CREDIT FLOAT)
CREATE TABLE ENROLL (CLASS_CODE VARCHAR2, STU_NUM NUMBER, ENROLL_GRADE VARCHAR2)
CREATE TABLE CLASS (CLASS_CODE VARCHAR2, CRS_CODE VARCHAR2, CLASS_SECTION VARCHAR2, CLASS_TIME VARCHAR2, CLASS_ROOM VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE STUDENT (STU_NUM NUMBER, STU_LNAME VARCHAR2, STU_FNAME VARCHAR2, STU_INIT VARCHAR2, STU_DOB DATETIME, STU_HRS NUMBER, STU_CLASS VARCHAR2, STU_GPA FLOAT, STU_TRANSFER NUMBER, DEPT_CODE VARCHAR2, STU_PHONE VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE EMPLOYEE (EMP_NUM NUMBER, EMP_LNAME VARCHAR2, EMP_FNAME VARCHAR2, EMP_INITIAL VARCHAR2, EMP_JOBCODE VARCHAR2, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR2, DEPT_NAME VARCHAR2, SCHOOL_CODE VARCHAR2, EMP_NUM NUMBER, DEPT_ADDRESS VARCHAR2, DEPT_EXTENSION VARCHAR2)
| Give me a histogram for how many sections does each course have?, and could you list x axis in descending order? | SELECT CRS_CODE, COUNT(*) FROM CLASS GROUP BY CRS_CODE ORDER BY CRS_CODE DESC | SELECT "CRS_CODE", COUNT(*) FROM "CLASS" GROUP BY "CRS_CODE" ORDER BY "CRS_CODE" DESC | 0.083008 |
CREATE TABLE table_dev_8 ("id" NUMBER, "systolic_blood_pressure_sbp" NUMBER, "heart_disease" BOOLEAN, "diastolic_blood_pressure_dbp" NUMBER, "coronary_artery_disease_cad" BOOLEAN, "triglyceride_tg" FLOAT, "hypertension" BOOLEAN, "NOUSE" FLOAT)
| stage 2 hypertension ( resting blood pressure > 160 systolic or > 100 diastolic ) | SELECT * FROM table_dev_8 WHERE hypertension = 1 OR systolic_blood_pressure_sbp > 160 OR diastolic_blood_pressure_dbp > 100 | SELECT * FROM "table_dev_8" WHERE "diastolic_blood_pressure_dbp" > 100 OR "hypertension" = 1 OR "systolic_blood_pressure_sbp" > 160 | 0.12793 |
CREATE TABLE table_name_78 (result VARCHAR2, date VARCHAR2)
| What is the Result of the game on November 6, 1966? | SELECT result FROM table_name_78 WHERE date = "november 6, 1966" | SELECT "result" FROM "table_name_78" WHERE "date" = "november 6, 1966" | 0.068359 |
CREATE TABLE table_name_97 (date VARCHAR2, runner_s__up VARCHAR2)
| What is the date that has yani tseng as the runner (s)-up? | SELECT date FROM table_name_97 WHERE runner_s__up = "yani tseng" | SELECT "date" FROM "table_name_97" WHERE "runner_s__up" = "yani tseng" | 0.068359 |
CREATE TABLE table_78677 ("Year" FLOAT, "Date" CLOB, "Home Team" CLOB, "Result" CLOB, "Visiting Team" CLOB, "Venue" CLOB)
| What was the Venue on November 26? | SELECT "Venue" FROM table_78677 WHERE "Date" = 'november 26' | SELECT "Venue" FROM "table_78677" WHERE "Date" = 'november 26' | 0.060547 |
CREATE TABLE table_36503 ("Arabic" CLOB, "English" CLOB, "Maltese" CLOB, "Turkish" CLOB, "Somali" CLOB, "Persian" CLOB, "Urdu" CLOB, "Hindi" CLOB, "Punjabi ( India ) " CLOB, "Punjabi ( Pakistan ) " CLOB, "Malayalam" CLOB, "Bangla" CLOB, "Hebrew" CLOB, "Indonesian" CLOB, "Malay" CLOB, "Filipino" CLOB, "Pashto" CLOB, "Tamil" CLOB, "Telugu" CLOB, "Kashmiri" CLOB, "Hausa" CLOB, "Yor\\u00f9b\\u00e1" CLOB, "Kurdish" CLOB)
| What is the Maltese word for the Malay word rabu? | SELECT "Maltese" FROM table_36503 WHERE "Malay" = 'rabu' | SELECT "Maltese" FROM "table_36503" WHERE "Malay" = 'rabu' | 0.056641 |
CREATE TABLE table_19444 ("School Year" CLOB, "Class A" CLOB, "Class AA" CLOB, "Class AAA" CLOB, "Class AAAA" CLOB, "Class AAAAA" CLOB)
| What are all the AAAA classes in the schools years 2004-05? | SELECT "Class AAAA" FROM table_19444 WHERE "School Year" = '2004-05' | SELECT "Class AAAA" FROM "table_19444" WHERE "School Year" = '2004-05' | 0.068359 |
CREATE TABLE table_67316 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Time" CLOB, "Att." CLOB, "Record" CLOB)
| What was the record at the game against the Blue Jays with a loss of Batista (0 3)? | SELECT "Record" FROM table_67316 WHERE "Opponent" = 'blue jays' AND "Loss" = 'batista (0–3)' | SELECT "Record" FROM "table_67316" WHERE "Loss" = 'batista (0–3)' AND "Opponent" = 'blue jays' | 0.091797 |
CREATE TABLE table_62237 ("Club" CLOB, "Short name" CLOB, "City" CLOB, "Stadium" CLOB, "Capacity" FLOAT)
| What stadium is in the city of Debrecen? | SELECT "Stadium" FROM table_62237 WHERE "City" = 'debrecen' | SELECT "Stadium" FROM "table_62237" WHERE "City" = 'debrecen' | 0.05957 |
CREATE TABLE status (station_id NUMBER, bikes_available NUMBER, docks_available NUMBER, time CLOB)
CREATE TABLE station (id NUMBER, name CLOB, lat NUMBER, long NUMBER, dock_count NUMBER, city CLOB, installation_date CLOB)
CREATE TABLE trip (id NUMBER, duration NUMBER, start_date CLOB, start_station_name CLOB, start_station_id NUMBER, end_date CLOB, end_station_name CLOB, end_station_id NUMBER, bike_id NUMBER, subscription_type CLOB, zip_code NUMBER)
CREATE TABLE weather (date CLOB, max_temperature_f NUMBER, mean_temperature_f NUMBER, min_temperature_f NUMBER, max_dew_point_f NUMBER, mean_dew_point_f NUMBER, min_dew_point_f NUMBER, max_humidity NUMBER, mean_humidity NUMBER, min_humidity NUMBER, max_sea_level_pressure_inches NUMBER, mean_sea_level_pressure_inches NUMBER, min_sea_level_pressure_inches NUMBER, max_visibility_miles NUMBER, mean_visibility_miles NUMBER, min_visibility_miles NUMBER, max_wind_Speed_mph NUMBER, mean_wind_speed_mph NUMBER, max_gust_speed_mph NUMBER, precipitation_inches NUMBER, cloud_cover NUMBER, events CLOB, wind_dir_degrees NUMBER, zip_code NUMBER)
| Please give me a pie chart to show the proportion of end stations for the trips with the three smallest ids? | SELECT end_station_name, COUNT(end_station_name) FROM trip GROUP BY end_station_name ORDER BY id LIMIT 3 | SELECT "end_station_name", COUNT("end_station_name") FROM "trip" GROUP BY "end_station_name" ORDER BY "id" FETCH FIRST 3 ROWS ONLY | 0.126953 |
CREATE TABLE table_7725 ("Nat." CLOB, "Name" CLOB, "Moving from" CLOB, "Type" CLOB, "Transfer window" CLOB, "Ends" FLOAT, "Transfer fee" CLOB)
| What was the transfer fee for the player ending in 2011 and moving from Thrasyvoulos? | SELECT "Transfer fee" FROM table_7725 WHERE "Ends" = '2011' AND "Moving from" = 'thrasyvoulos' | SELECT "Transfer fee" FROM "table_7725" WHERE "Ends" = '2011' AND "Moving from" = 'thrasyvoulos' | 0.09375 |
CREATE TABLE table_30011_2 (reference VARCHAR2, example VARCHAR2)
| What is every reference for the example of AF117? | SELECT reference FROM table_30011_2 WHERE example = "AF117" | SELECT "reference" FROM "table_30011_2" WHERE "AF117" = "example" | 0.063477 |
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)
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)
| what is the number of patients whose insurance is government and procedure short title is aortocor bypas-2 cor art? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Government" AND procedures.short_title = "Aortocor bypas-2 cor art" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Aortocor bypas-2 cor art" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "Government" = "demographic"."insurance" | 0.239258 |
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 VoteTypes (Id NUMBER, Name CLOB)
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 ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
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 PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
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 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 Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
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 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 PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
| Likely link-only tool recs/video tutorials. | SELECT Id AS "post_link", Body, LENGTH(Body) AS Length FROM Posts WHERE PostTypeId = 2 AND 1 IN (CASE (SELECT ClosedDate FROM Posts WHERE PostTypeId = 1 AND ClosedDate = '' AND Id = ParentId LIMIT 1) WHEN NULL THEN 0 ELSE 1 END) AND LENGTH(Body) <= 500 AND NOT LOWER(Body) LIKE '%<code>%' AND (LOWER(Body) LIKE '%github.com%' OR LOWER(Body) LIKE '%npmjs.org%' OR LOWER(Body) LIKE '%pypi.org' OR LOWER(Body) LIKE '%youtu.be%' OR LOWER(Body) LIKE '%youtube.com%') LIMIT 1000 | SELECT "Id" AS "post_link", "Body", LENGTH("Body") AS "Length" FROM "Posts" WHERE "PostTypeId" = 2 AND 1 IN (1) AND NOT LOWER("Body") LIKE '%<code>%' AND LENGTH("Body") <= 500 AND (LOWER("Body") LIKE '%github.com%' OR LOWER("Body") LIKE '%npmjs.org%' OR LOWER("Body") LIKE '%pypi.org' OR LOWER("Body") LIKE '%youtu.be%' OR LOWER("Body") LIKE '%youtube.com%') FETCH FIRST 1000 ROWS ONLY | 0.375977 |
CREATE TABLE table_204_911 (id NUMBER, "album / name" CLOB, "artist ( s ) " CLOB, "label" CLOB, "role/credit" CLOB, "date" CLOB, "chart#" CLOB)
| who is the next artist after artist enomoto atsuko ? | SELECT "artist(s)" FROM table_204_911 WHERE "date" > (SELECT "date" FROM table_204_911 WHERE "artist(s)" = 'enomoto atsuko') ORDER BY "date" LIMIT 1 | SELECT "artist(s)" FROM "table_204_911" WHERE "date" > (SELECT "date" FROM "table_204_911" WHERE "artist(s)" = 'enomoto atsuko') ORDER BY "date" FETCH FIRST 1 ROWS ONLY | 0.164063 |
CREATE TABLE table_name_43 (attendance NUMBER, date VARCHAR2, game VARCHAR2)
| Where date is october 7 and game greater than 1, what is the highest attendance? | SELECT MAX(attendance) FROM table_name_43 WHERE date = "october 7" AND game > 1 | SELECT MAX("attendance") FROM "table_name_43" WHERE "date" = "october 7" AND "game" > 1 | 0.084961 |
CREATE TABLE table_45755 ("Team" CLOB, "Outgoing manager" CLOB, "Manner of departure" CLOB, "Date of vacancy" CLOB, "Replaced by" CLOB, "Date of appointment" CLOB)
| What is Date of Appointment, when Outgoing Manager is 'Hakan Kutlu'? | SELECT "Date of appointment" FROM table_45755 WHERE "Outgoing manager" = 'hakan kutlu' | SELECT "Date of appointment" FROM "table_45755" WHERE "Outgoing manager" = 'hakan kutlu' | 0.085938 |
CREATE TABLE table_name_10 (losses VARCHAR2, ballarat_fl VARCHAR2, against VARCHAR2)
| How many Losses have a Ballarat FL of melton south, and an Against larger than 1468? | SELECT COUNT(losses) FROM table_name_10 WHERE ballarat_fl = "melton south" AND against > 1468 | SELECT COUNT("losses") FROM "table_name_10" WHERE "against" > 1468 AND "ballarat_fl" = "melton south" | 0.098633 |
CREATE TABLE table_24871 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Production code" CLOB)
| when was the episode premiere if the production code is 11.19? | SELECT COUNT("Original air date") FROM table_24871 WHERE "Production code" = '11.19' | SELECT COUNT("Original air date") FROM "table_24871" WHERE "Production code" = '11.19' | 0.083984 |
CREATE TABLE table_204_661 (id NUMBER, "team" CLOB, "location" CLOB, "home ground" CLOB, "first year in\ qld cup" NUMBER, "last year in\ qld cup" NUMBER, "qld cup\ premierships" CLOB)
| how many teams are from brisbane ? | SELECT COUNT("team") FROM table_204_661 WHERE "location" = 'brisbane' | SELECT COUNT("team") FROM "table_204_661" WHERE "location" = 'brisbane' | 0.069336 |
CREATE TABLE table_2144436_1 (population__2010_ NUMBER, population__2000_ VARCHAR2)
| What is the 2010 population when the 2000 population is 5720? | SELECT MAX(population__2010_) FROM table_2144436_1 WHERE population__2000_ = 5720 | SELECT MAX("population__2010_") FROM "table_2144436_1" WHERE "population__2000_" = 5720 | 0.084961 |
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name 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 procedures_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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label 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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
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 d_icd_procedures (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 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 diagnoses_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 labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom 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)
| tell me the name of the medication that patient 14397 was last prescribed via the oral route during their last hospital visit? | SELECT prescriptions.drug FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 14397 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime DESC LIMIT 1) AND prescriptions.route = 'oral' ORDER BY prescriptions.startdate DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 14397 AND NOT "admissions"."dischtime" IS NULL GROUP BY "hadm_id" ORDER BY "admissions"."admittime" DESC FETCH FIRST 1 ROWS ONLY) SELECT "prescriptions"."drug" FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."route" = 'oral' AND NOT "_u_0"."" IS NULL ORDER BY "prescriptions"."startdate" DESC FETCH FIRST 1 ROWS ONLY | 0.462891 |
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description 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 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 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 PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress 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 PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId 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 Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description 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 ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
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 ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
| Respostas paras medalhas Int rprete, Aprimorador e Luminar. | SELECT a.Id AS "post_link", a.Score, a.CreationDate FROM Posts AS q JOIN Posts AS a ON a.ParentId = q.Id WHERE q.PostTypeId = 1 AND q.ClosedDate IS NULL AND a.PostTypeId = 2 AND a.Score > 0 AND a.OwnerUserId = '##UserId##' AND COALESCE(q.OwnerUserId, -1) != a.OwnerUserId AND EXISTS(SELECT 1 FROM PostHistory AS ph WHERE ph.PostHistoryTypeId IN (4, 5) AND ph.PostId = a.ParentId AND ph.UserId = a.OwnerUserId AND ABS(CAST((JULIANDAY(CreationDate) - JULIANDAY(ph.CreationDate)) AS INT)) < 12) ORDER BY a.CreationDate DESC | WITH "_u_0" AS (SELECT "ph"."PostId" AS "_u_1", "ph"."UserId" AS "_u_2", ARRAY_AGG(12) AS "_u_3" FROM "PostHistory" "ph" WHERE "ph"."PostHistoryTypeId" IN (4, 5) GROUP BY "ph"."PostId", "ph"."UserId") SELECT "a"."Id" AS "post_link", "a"."Score", "a"."CreationDate" FROM "Posts" "q" JOIN "Posts" "a" ON "a"."OwnerUserId" <> COALESCE("q"."OwnerUserId", -1) AND "a"."OwnerUserId" = '##UserId##' AND "a"."ParentId" = "q"."Id" AND "a"."PostTypeId" = 2 AND "a"."Score" > 0 LEFT JOIN "_u_0" "_u_0" ON "_u_0"."_u_1" = "a"."ParentId" AND "_u_0"."_u_2" = "a"."OwnerUserId" WHERE "q"."ClosedDate" IS NULL AND "q"."PostTypeId" = 1 AND NOT "_u_0"."_u_1" IS NULL AND ARRAY_ANY("_u_0"."_u_3", "_x" -> "_x" > ABS(CAST((JULIANDAY("CreationDate") - JULIANDAY("ph"."CreationDate")) AS NUMBER))) ORDER BY "a"."CreationDate" DESC | 0.789063 |
CREATE TABLE table_204_834 (id NUMBER, "rank" NUMBER, "name" CLOB, "nationality" CLOB, "time" CLOB)
| who finished with the top time ? | SELECT "name" FROM table_204_834 ORDER BY "time" LIMIT 1 | SELECT "name" FROM "table_204_834" ORDER BY "time" FETCH FIRST 1 ROWS ONLY | 0.072266 |
CREATE TABLE table_name_46 (series VARCHAR2, season NUMBER)
| Which series has a season prior to 2009? | SELECT series FROM table_name_46 WHERE season < 2009 | SELECT "series" FROM "table_name_46" WHERE "season" < 2009 | 0.056641 |
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 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 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)
| what is minimum age of patients whose primary disease is angioedema and days of hospital stay is 8? | SELECT MIN(demographic.age) FROM demographic WHERE demographic.diagnosis = "ANGIOEDEMA" AND demographic.days_stay = "8" | SELECT MIN("demographic"."age") FROM "demographic" WHERE "8" = "demographic"."days_stay" AND "ANGIOEDEMA" = "demographic"."diagnosis" | 0.129883 |
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
| Who are the human computer interaction courses taught by ? | SELECT DISTINCT instructor.name FROM instructor INNER JOIN offering_instructor ON offering_instructor.instructor_id = instructor.instructor_id INNER JOIN course_offering ON offering_instructor.offering_id = course_offering.offering_id INNER JOIN area ON course_offering.course_id = area.course_id WHERE area.area LIKE '%human computer interaction%' | SELECT DISTINCT "instructor"."name" FROM "instructor" JOIN "offering_instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" JOIN "course_offering" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "area" ON "area"."area" LIKE '%human computer interaction%' AND "area"."course_id" = "course_offering"."course_id" | 0.359375 |
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
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 jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
| For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, draw a bar chart about the distribution of job_id and the average of salary , and group by attribute job_id, sort Y-axis from low to high order. | SELECT JOB_ID, AVG(SALARY) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 GROUP BY JOB_ID ORDER BY AVG(SALARY) | SELECT "JOB_ID", AVG("SALARY") FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) GROUP BY "JOB_ID" ORDER BY AVG("SALARY") | 0.239258 |
CREATE TABLE table_203_745 (id NUMBER, "year" CLOB, "title" CLOB, "catalog" CLOB)
| what is the decca catalog number of the singe everybody sing ? | SELECT "catalog" FROM table_203_745 WHERE "title" = 'everybody sing' | SELECT "catalog" FROM "table_203_745" WHERE "title" = 'everybody sing' | 0.068359 |
CREATE TABLE table_10128185_2 (northern_ireland VARCHAR2, total VARCHAR2)
| How many votes did Northern Ireland cast if the total was 35? | SELECT northern_ireland FROM table_10128185_2 WHERE total = 35 | SELECT "northern_ireland" FROM "table_10128185_2" WHERE "total" = 35 | 0.066406 |
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 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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod 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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name 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 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_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 d_labitems (row_id NUMBER, itemid NUMBER, label 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)
| what are the five most frequently prescribed medicines since 5 years ago? | SELECT t1.drug FROM (SELECT prescriptions.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM prescriptions WHERE DATETIME(prescriptions.startdate) >= DATETIME(CURRENT_TIME(), '-5 year') GROUP BY prescriptions.drug) AS t1 WHERE t1.c1 <= 5 | WITH "t1" AS (SELECT "prescriptions"."drug", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "prescriptions" WHERE DATETIME("prescriptions"."startdate") >= DATETIME(CURRENT_TIME(), '-5 year') GROUP BY "prescriptions"."drug") SELECT "t1"."drug" FROM "t1" "t1" WHERE "t1"."c1" <= 5 | 0.280273 |
CREATE TABLE table_27733258_6 (high_points VARCHAR2, score VARCHAR2)
| Name the high points for l 110 112 (ot) | SELECT high_points FROM table_27733258_6 WHERE score = "L 110–112 (OT)" | SELECT "high_points" FROM "table_27733258_6" WHERE "L 110–112 (OT)" = "score" | 0.075195 |
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)
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)
| how many patients aged below 58 years have hypoxia as their primary disease? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "HYPOXIA" AND demographic.age < "58" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "58" > "demographic"."age" AND "HYPOXIA" = "demographic"."diagnosis" | 0.139648 |
CREATE TABLE table_10926 ("Model" CLOB, "FSB ( MHz ) " CLOB, "Chipset" CLOB, "Memory" CLOB, "Graphics" CLOB)
| What is the chipset in the Precision 340 model that has the rambus memory and 400 or 533 FSB (MHz)? | SELECT "Chipset" FROM table_10926 WHERE "Memory" = 'rambus' AND "FSB (MHz)" = '400 or 533' AND "Model" = 'precision 340' | SELECT "Chipset" FROM "table_10926" WHERE "FSB (MHz)" = '400 or 533' AND "Memory" = 'rambus' AND "Model" = 'precision 340' | 0.119141 |
CREATE TABLE table_15595 ("1910s" FLOAT, "1920s" FLOAT, "1930s" FLOAT, "1940s" FLOAT, "1950s" FLOAT, "1960s" FLOAT, "1970s" FLOAT, "1980s" FLOAT, "1990s" FLOAT, "2000s" FLOAT)
| What is the corresponding 1930s for 2000 and 1940? | SELECT SUM("1930s") FROM table_15595 WHERE "2000s" = '2000' AND "1940s" < '1940' | SELECT SUM("1930s") FROM "table_15595" WHERE "1940s" < '1940' AND "2000s" = '2000' | 0.080078 |
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
| Which prerequisite for most classes is offered this semester ? | SELECT COUNT(DISTINCT course_prerequisite.course_id), course.department, course.name, course.number FROM course, course_offering, course_prerequisite, semester WHERE course.course_id = course_offering.course_id AND course.course_id = course_prerequisite.pre_course_id AND course.department = 'EECS' AND semester.semester = 'WN' AND semester.semester_id = course_offering.semester AND semester.year = 2016 GROUP BY course_prerequisite.pre_course_id ORDER BY COUNT(course_prerequisite.course_id) DESC | SELECT COUNT(DISTINCT "course_prerequisite"."course_id"), "course"."department", "course"."name", "course"."number" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "course_prerequisite" ON "course"."course_id" = "course_prerequisite"."pre_course_id" JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'WN' AND "semester"."year" = 2016 WHERE "course"."department" = 'EECS' GROUP BY "course_prerequisite"."pre_course_id" ORDER BY COUNT("course_prerequisite"."course_id") DESC | 0.561523 |
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label 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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime 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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title 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 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 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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
| let's count the number of patients who received a entral infus nutrit sub procedure within 2 months after receiving a contrast aortogram procedure until 2104. | SELECT COUNT(DISTINCT t1.subject_id) FROM (SELECT admissions.subject_id, procedures_icd.charttime FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'contrast aortogram') AND STRFTIME('%y', procedures_icd.charttime) <= '2104') AS t1 JOIN (SELECT admissions.subject_id, procedures_icd.charttime FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'entral infus nutrit sub') AND STRFTIME('%y', procedures_icd.charttime) <= '2104') AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND DATETIME(t2.charttime) BETWEEN DATETIME(t1.charttime) AND DATETIME(t1.charttime, '+2 month') | WITH "t2" AS (SELECT "admissions"."subject_id", "procedures_icd"."charttime" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'entral infus nutrit sub' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" WHERE STRFTIME('%y', "procedures_icd"."charttime") <= '2104') SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'contrast aortogram' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" JOIN "t2" "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND "procedures_icd"."charttime" < "t2"."charttime" AND DATETIME("procedures_icd"."charttime") <= DATETIME("t2"."charttime") AND DATETIME("procedures_icd"."charttime", '+2 month') >= DATETIME("t2"."charttime") WHERE STRFTIME('%y', "procedures_icd"."charttime") <= '2104' | 0.991211 |
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime 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 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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_icd_diagnoses (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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto 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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_procedures (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 d_labitems (row_id NUMBER, itemid NUMBER, label 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 transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
| how the percentile is the glucose value of 83.0 among patients of the same age as patient 42473 on the current hospital visit? | SELECT DISTINCT t1.c1 FROM (SELECT labevents.valuenum, PERCENT_RANK() OVER (ORDER BY labevents.valuenum) AS c1 FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'glucose') AND labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.age = (SELECT admissions.age FROM admissions WHERE admissions.subject_id = 42473 AND admissions.dischtime IS NULL))) AS t1 WHERE t1.valuenum = 83.0 | WITH "_u_0" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'glucose' GROUP BY "itemid"), "_u_2" AS (SELECT "admissions"."hadm_id" FROM "admissions" JOIN "admissions" "admissions_2" ON "admissions"."age" = "admissions_2"."age" AND "admissions_2"."dischtime" IS NULL AND "admissions_2"."subject_id" = 42473 GROUP BY "hadm_id") SELECT DISTINCT PERCENT_RANK() OVER (ORDER BY "labevents"."valuenum") FROM "labevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "labevents"."itemid" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "labevents"."hadm_id" WHERE "labevents"."valuenum" = 83.0 AND NOT "_u_0"."" IS NULL AND NOT "_u_2"."" IS NULL | 0.637695 |
CREATE TABLE table_name_65 (founded VARCHAR2, school VARCHAR2)
| What is the year Airds High School was founded? | SELECT founded FROM table_name_65 WHERE school = "airds high school" | SELECT "founded" FROM "table_name_65" WHERE "airds high school" = "school" | 0.072266 |
CREATE TABLE table_26366 ("Team" CLOB, "City/Area" CLOB, "Arena" CLOB, "Founded" FLOAT, "Joined" FLOAT, "Head Coach" CLOB, "Captain" CLOB)
| What arena does the team play at that has Michael Wales as the captain? | SELECT "Arena" FROM table_26366 WHERE "Captain" = 'Michael Wales' | SELECT "Arena" FROM "table_26366" WHERE "Captain" = 'Michael Wales' | 0.06543 |
CREATE TABLE Organisation_Types (organisation_type VARCHAR2, organisation_type_description VARCHAR2)
CREATE TABLE Project_Staff (staff_id DOUBLE PRECISION, project_id NUMBER, role_code VARCHAR2, date_from DATETIME, date_to DATETIME, other_details VARCHAR2)
CREATE TABLE Document_Types (document_type_code VARCHAR2, document_description VARCHAR2)
CREATE TABLE Projects (project_id NUMBER, organisation_id NUMBER, project_details VARCHAR2)
CREATE TABLE Project_Outcomes (project_id NUMBER, outcome_code VARCHAR2, outcome_details VARCHAR2)
CREATE TABLE Organisations (organisation_id NUMBER, organisation_type VARCHAR2, organisation_details VARCHAR2)
CREATE TABLE Documents (document_id NUMBER, document_type_code VARCHAR2, grant_id NUMBER, sent_date DATETIME, response_received_date DATETIME, other_details VARCHAR2)
CREATE TABLE Research_Staff (staff_id NUMBER, employer_organisation_id NUMBER, staff_details VARCHAR2)
CREATE TABLE Grants (grant_id NUMBER, organisation_id NUMBER, grant_amount NUMBER, grant_start_date DATETIME, grant_end_date DATETIME, other_details VARCHAR2)
CREATE TABLE Staff_Roles (role_code VARCHAR2, role_description VARCHAR2)
CREATE TABLE Tasks (task_id NUMBER, project_id NUMBER, task_details VARCHAR2, "eg Agree Objectives" VARCHAR2)
CREATE TABLE Research_Outcomes (outcome_code VARCHAR2, outcome_description VARCHAR2)
| Plot how many date from by grouped by date from as a bar graph, list Y in asc order. | SELECT date_from, COUNT(date_from) FROM Project_Staff ORDER BY COUNT(date_from) | SELECT "date_from", COUNT("date_from") FROM "Project_Staff" ORDER BY COUNT("date_from") | 0.084961 |
CREATE TABLE table_32849 ("Rank" FLOAT, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the average total when gold is 0, bronze is 0, and silver is smaller than 1? | SELECT AVG("Total") FROM table_32849 WHERE "Gold" = '0' AND "Bronze" = '0' AND "Silver" < '1' | SELECT AVG("Total") FROM "table_32849" WHERE "Bronze" = '0' AND "Gold" = '0' AND "Silver" < '1' | 0.092773 |
CREATE TABLE table_20958 ("Country" CLOB, "Skip" CLOB, "W" FLOAT, "L" FLOAT, "PF" FLOAT, "PA" FLOAT, "Ends Won" FLOAT, "Ends Lost" FLOAT, "Blank Ends F/A" CLOB, "Stolen Ends For" FLOAT, "Stolen Ends Against" FLOAT, "Shot %" FLOAT)
| What is the maximum number of stolen ends against for Japan? | SELECT MAX("Stolen Ends Against") FROM table_20958 WHERE "Country" = 'Japan' | SELECT MAX("Stolen Ends Against") FROM "table_20958" WHERE "Country" = 'Japan' | 0.076172 |
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
| Other than Prof. Michael Swan , does anyone teach 493 ? | SELECT DISTINCT instructor.name FROM course, course_offering, instructor, offering_instructor WHERE course.course_id = course_offering.course_id AND course.department = 'EECS' AND course.number = 493 AND NOT instructor.name LIKE '%Michael Swan%' AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id | SELECT DISTINCT "instructor"."name" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" AND NOT "instructor"."name" LIKE '%Michael Swan%' WHERE "course"."department" = 'EECS' AND "course"."number" = 493 | 0.422852 |
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 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 vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime 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 medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
| count the number of drugs which had been prescribed since 2104 to patient 015-92657. | SELECT COUNT(*) FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '015-92657')) AND STRFTIME('%y', medication.drugstarttime) >= '2104' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '015-92657' 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(*) FROM "medication" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "medication"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y', "medication"."drugstarttime") >= '2104' | 0.53418 |
CREATE TABLE table_1132588_3 (fastest_lap VARCHAR2, grand_prix VARCHAR2)
| What is the fastest lap for the european grand prix? | SELECT fastest_lap FROM table_1132588_3 WHERE grand_prix = "European grand_prix" | SELECT "fastest_lap" FROM "table_1132588_3" WHERE "European grand_prix" = "grand_prix" | 0.083984 |
CREATE TABLE table_27801 ("Case" CLOB, "1st pers. sing." CLOB, "2nd pers. sing." CLOB, "3rd pers. sing." CLOB, "1st pers. pl" CLOB, "2nd pers. pl." CLOB, "3rd pers pl." CLOB)
| Name the 1st person pl for | SELECT "1st pers. pl" FROM table_27801 WHERE "2nd pers. sing." = 'тонэ' | SELECT "1st pers. pl" FROM "table_27801" WHERE "2nd pers. sing." = 'тонэ' | 0.071289 |
CREATE TABLE table_name_64 (date VARCHAR2, type_of_game VARCHAR2)
| What is the date of the Euro '64 qualifying game? | SELECT date FROM table_name_64 WHERE type_of_game = "euro '64 qualifying" | SELECT "date" FROM "table_name_64" WHERE "euro '64 qualifying" = "type_of_game" | 0.077148 |
CREATE TABLE table_12973 ("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)
| What is Points For, when Losing Bonus is '2', when Lost is '8', and when Club is 'Rhyl And District RFC'? | SELECT "Points for" FROM table_12973 WHERE "Losing bonus" = '2' AND "Lost" = '8' AND "Club" = 'rhyl and district rfc' | SELECT "Points for" FROM "table_12973" WHERE "Club" = 'rhyl and district rfc' AND "Losing bonus" = '2' AND "Lost" = '8' | 0.116211 |
CREATE TABLE table_80004 ("Name" CLOB, "Years" CLOB, "Gender" CLOB, "Area" CLOB, "Authority" CLOB, "Decile" FLOAT, "Roll" FLOAT)
| How many deciles have Years of 9 13? | SELECT COUNT("Decile") FROM table_80004 WHERE "Years" = '9–13' | SELECT COUNT("Decile") FROM "table_80004" WHERE "Years" = '9–13' | 0.0625 |
CREATE TABLE table_27444 ("Prefecture" CLOB, "City/Town" CLOB, "High School Name" CLOB, "Year of Previous Participation" CLOB, "Total Number of Participation" FLOAT)
| In what prefecture is Nihon Bunri located? | SELECT "Prefecture" FROM table_27444 WHERE "High School Name" = 'Nihon Bunri' | SELECT "Prefecture" FROM "table_27444" WHERE "High School Name" = 'Nihon Bunri' | 0.077148 |
CREATE TABLE table_14968 ("Name" CLOB, "Tenure" CLOB, "Courtesy title" CLOB, "Court Rank" CLOB, "Revenues" CLOB, "Lineage" CLOB)
| What's the lineage of oka tadatomo ( )? | SELECT "Lineage" FROM table_14968 WHERE "Name" = 'ōoka tadatomo (大岡忠與)' | SELECT "Lineage" FROM "table_14968" WHERE "Name" = 'ōoka tadatomo (大岡忠與)' | 0.071289 |
CREATE TABLE table_28116528_1 (title VARCHAR2, production_code VARCHAR2)
| What episode title had a production code of 3x6306? | SELECT title FROM table_28116528_1 WHERE production_code = "3X6306" | SELECT "title" FROM "table_28116528_1" WHERE "3X6306" = "production_code" | 0.071289 |
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
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 VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
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 PostTags (PostId NUMBER, TagId NUMBER)
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 ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
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 PostHistoryTypes (Id NUMBER, Name CLOB)
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 SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
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 ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
| SELECT Score FROM Comments. | SELECT Score FROM Comments | SELECT "Score" FROM "Comments" | 0.029297 |
CREATE TABLE TRANSACTIONS_LOTS (transaction_id VARCHAR2)
CREATE TABLE LOTS (lot_details VARCHAR2, lot_id VARCHAR2)
CREATE TABLE TRANSACTIONS (transaction_id VARCHAR2, share_count NUMBER)
| What are the lot details of lots associated with transactions with share count smaller than 50? | SELECT T1.lot_details FROM LOTS AS T1 JOIN TRANSACTIONS_LOTS AS T2 ON T1.lot_id = T2.transaction_id JOIN TRANSACTIONS AS T3 ON T2.transaction_id = T3.transaction_id WHERE T3.share_count < 50 | SELECT "T1"."lot_details" FROM "LOTS" "T1" JOIN "TRANSACTIONS_LOTS" "T2" ON "T1"."lot_id" = "T2"."transaction_id" JOIN "TRANSACTIONS" "T3" ON "T2"."transaction_id" = "T3"."transaction_id" AND "T3"."share_count" < 50 | 0.209961 |
CREATE TABLE table_40389 ("School year" CLOB, "95-96" CLOB, "99-00" CLOB, "00-01" CLOB, "01-02" CLOB, "02-03" CLOB, "03-04" CLOB, "04-05" CLOB, "05-06" CLOB, "06-07" CLOB)
| What is 03-04, when 00-01 is 67.4? | SELECT "03-04" FROM table_40389 WHERE "00-01" = '67.4' | SELECT "03-04" FROM "table_40389" WHERE "00-01" = '67.4' | 0.054688 |
CREATE TABLE table_56341 ("Pick #" CLOB, "CFL Team" CLOB, "Player" CLOB, "Position" CLOB, "College" CLOB)
| Which college did the Calgary Stampeders recruit from? | SELECT "College" FROM table_56341 WHERE "CFL Team" = 'calgary stampeders' | SELECT "College" FROM "table_56341" WHERE "CFL Team" = 'calgary stampeders' | 0.073242 |
CREATE TABLE Faculty (FacID NUMBER, Lname VARCHAR2, Fname VARCHAR2, Rank VARCHAR2, Sex VARCHAR2, Phone NUMBER, Room VARCHAR2, Building VARCHAR2)
CREATE TABLE Enrolled_in (StuID NUMBER, CID VARCHAR2, Grade VARCHAR2)
CREATE TABLE Gradeconversion (lettergrade VARCHAR2, gradepoint FLOAT)
CREATE TABLE Member_of (FacID NUMBER, DNO NUMBER, Appt_Type VARCHAR2)
CREATE TABLE Student (StuID NUMBER, LName VARCHAR2, Fname VARCHAR2, Age NUMBER, Sex VARCHAR2, Major NUMBER, Advisor NUMBER, city_code VARCHAR2)
CREATE TABLE Department (DNO NUMBER, Division VARCHAR2, DName VARCHAR2, Room VARCHAR2, Building VARCHAR2, DPhone NUMBER)
CREATE TABLE Minor_in (StuID NUMBER, DNO NUMBER)
CREATE TABLE Course (CID VARCHAR2, CName VARCHAR2, Credits NUMBER, Instructor NUMBER, Days VARCHAR2, Hours VARCHAR2, DNO NUMBER)
| Visualize the relationship between CID and Instructor . | SELECT CID, Instructor FROM Course ORDER BY Credits | SELECT "CID", "Instructor" FROM "Course" ORDER BY "Credits" | 0.057617 |
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
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 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 medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime 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)
| show me the top three procedures that were the most common in the previous year? | SELECT t1.treatmentname FROM (SELECT treatment.treatmentname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM treatment WHERE DATETIME(treatment.treatmenttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY treatment.treatmentname) AS t1 WHERE t1.c1 <= 3 | WITH "t1" AS (SELECT "treatment"."treatmentname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "treatment" WHERE DATETIME("treatment"."treatmenttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY "treatment"."treatmentname") SELECT "t1"."treatmentname" FROM "t1" "t1" WHERE "t1"."c1" <= 3 | 0.327148 |
CREATE TABLE table_26591309_3 (official_barb_ratings VARCHAR2, episode VARCHAR2)
| What is the BARB ratings of episode 6? | SELECT official_barb_ratings FROM table_26591309_3 WHERE episode = 6 | SELECT "official_barb_ratings" FROM "table_26591309_3" WHERE "episode" = 6 | 0.072266 |
CREATE TABLE table_49507 ("Name" CLOB, "Built" CLOB, "Listed" CLOB, "Location" CLOB, "County" CLOB)
| In what county is the Canyon Padre Bridge? | SELECT "County" FROM table_49507 WHERE "Name" = 'canyon padre bridge' | SELECT "County" FROM "table_49507" WHERE "Name" = 'canyon padre bridge' | 0.069336 |
CREATE TABLE table_38057 ("Region" CLOB, "Total Population" FLOAT, "Manchu" FLOAT, "Percentage in Manchu Population" CLOB, "Regional Percentage of Population" FLOAT)
| What is the lowest population associated with a Regional Percentage of Population of 2.95? | SELECT MIN("Total Population") FROM table_38057 WHERE "Regional Percentage of Population" = '2.95' | SELECT MIN("Total Population") FROM "table_38057" WHERE "Regional Percentage of Population" = '2.95' | 0.097656 |
CREATE TABLE table_78058 ("Tie no" CLOB, "Home team" CLOB, "Score 1" CLOB, "Away team" CLOB, "Attendance" CLOB)
| What home team had an attendance record of 16,971? | SELECT "Home team" FROM table_78058 WHERE "Attendance" = '16,971' | SELECT "Home team" FROM "table_78058" WHERE "Attendance" = '16,971' | 0.06543 |
CREATE TABLE table_203_8 (id NUMBER, "player" CLOB, "rec." NUMBER, "yards" NUMBER, "avg." NUMBER, "td's" NUMBER, "long" NUMBER)
| which player has the most touch downs ? | SELECT "player" FROM table_203_8 ORDER BY "td's" DESC LIMIT 1 | SELECT "player" FROM "table_203_8" ORDER BY "td's" DESC FETCH FIRST 1 ROWS ONLY | 0.077148 |
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
| give me the least expensive FIRST class round trip ticket on US from CLEVELAND to MIAMI | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, airport_service AS AIRPORT_SERVICE_2, airport_service AS AIRPORT_SERVICE_3, city AS CITY_0, city AS CITY_1, city AS CITY_2, city AS CITY_3, fare, fare_basis, flight, flight_fare WHERE ((((CITY_2.city_code = AIRPORT_SERVICE_2.city_code AND CITY_2.city_name = 'CLEVELAND' AND CITY_3.city_code = AIRPORT_SERVICE_3.city_code AND CITY_3.city_name = 'MIAMI' AND fare.from_airport = AIRPORT_SERVICE_2.airport_code AND fare.to_airport = AIRPORT_SERVICE_3.airport_code) AND fare_basis.class_type = 'FIRST' AND fare.fare_basis_code = fare_basis.fare_basis_code) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'MIAMI' AND fare.round_trip_cost = (SELECT MIN(FAREalias1.round_trip_cost) FROM airport_service AS AIRPORT_SERVICEalias4, airport_service AS AIRPORT_SERVICEalias5, city AS CITYalias4, city AS CITYalias5, fare AS FAREalias1, fare_basis AS FARE_BASISalias1 WHERE (CITYalias4.city_code = AIRPORT_SERVICEalias4.city_code AND CITYalias4.city_name = 'CLEVELAND' AND CITYalias5.city_code = AIRPORT_SERVICEalias5.city_code AND CITYalias5.city_name = 'MIAMI' AND FAREalias1.from_airport = AIRPORT_SERVICEalias4.airport_code AND FAREalias1.to_airport = AIRPORT_SERVICEalias5.airport_code) AND FARE_BASISalias1.class_type = 'FIRST' AND FAREalias1.fare_basis_code = FARE_BASISalias1.fare_basis_code) AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'CLEVELAND' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.airline_code = 'US' | WITH "_u_0" AS (SELECT MIN("FAREalias1"."round_trip_cost") FROM "airport_service" "AIRPORT_SERVICEalias4" JOIN "city" "CITYalias4" ON "AIRPORT_SERVICEalias4"."city_code" = "CITYalias4"."city_code" AND "CITYalias4"."city_name" = 'CLEVELAND' JOIN "fare" "FAREalias1" ON "AIRPORT_SERVICEalias4"."airport_code" = "FAREalias1"."from_airport" JOIN "airport_service" "AIRPORT_SERVICEalias5" ON "AIRPORT_SERVICEalias5"."airport_code" = "FAREalias1"."to_airport" JOIN "fare_basis" "FARE_BASISalias1" ON "FARE_BASISalias1"."class_type" = 'FIRST' AND "FARE_BASISalias1"."fare_basis_code" = "FAREalias1"."fare_basis_code" JOIN "city" "CITYalias5" ON "AIRPORT_SERVICEalias5"."city_code" = "CITYalias5"."city_code" AND "CITYalias5"."city_name" = 'MIAMI') SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" CROSS JOIN "airport_service" "AIRPORT_SERVICE_3" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'CLEVELAND' JOIN "city" "CITY_3" ON "AIRPORT_SERVICE_3"."city_code" = "CITY_3"."city_code" AND "CITY_3"."city_name" = 'MIAMI' JOIN "fare" ON "AIRPORT_SERVICE_3"."airport_code" = "fare"."to_airport" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."airline_code" = 'US' JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "airport_service" "AIRPORT_SERVICE_2" ON "AIRPORT_SERVICE_2"."airport_code" = "fare"."from_airport" JOIN "_u_0" "_u_0" ON "_u_0"."" = "fare"."round_trip_cost" JOIN "fare_basis" ON "fare"."fare_basis_code" = "fare_basis"."fare_basis_code" AND "fare_basis"."class_type" = 'FIRST' JOIN "flight_fare" ON "fare"."fare_id" = "flight_fare"."fare_id" AND "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'MIAMI' JOIN "city" "CITY_2" ON "AIRPORT_SERVICE_2"."city_code" = "CITY_2"."city_code" AND "CITY_2"."city_name" = 'CLEVELAND' | 1.976563 |
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 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 procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is the number of patients whose admission type is elective and diagnoses short title is b-complex defic nec? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_type = "ELECTIVE" AND diagnoses.short_title = "B-complex defic NEC" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "B-complex defic NEC" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "ELECTIVE" = "demographic"."admission_type" | 0.234375 |
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime 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 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 medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime 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 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 treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
| calculate the duration of patient 002-56853's stay in the last icu. | SELECT STRFTIME('%j', patient.unitdischargetime) - STRFTIME('%j', patient.unitadmittime) FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '002-56853') AND NOT patient.unitadmittime IS NULL ORDER BY patient.unitadmittime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '002-56853' GROUP BY "patienthealthsystemstayid") SELECT STRFTIME('%j', "patient"."unitdischargetime") - STRFTIME('%j', "patient"."unitadmittime") FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL AND NOT "patient"."unitadmittime" IS NULL ORDER BY "patient"."unitadmittime" DESC FETCH FIRST 1 ROWS ONLY | 0.466797 |
CREATE TABLE table_17340355_7 (high_assists VARCHAR2, date VARCHAR2)
| Who had the high assist total on january 2? | SELECT high_assists FROM table_17340355_7 WHERE date = "January 2" | SELECT "high_assists" FROM "table_17340355_7" WHERE "January 2" = "date" | 0.070313 |
CREATE TABLE table_28846752_9 (player VARCHAR2, economy VARCHAR2)
| Who is the player when the economy is 5.29? | SELECT player FROM table_28846752_9 WHERE economy = "5.29" | SELECT "player" FROM "table_28846752_9" WHERE "5.29" = "economy" | 0.0625 |
CREATE TABLE table_70305 ("Overall place" CLOB, "Yacht name" CLOB, "Skipper" CLOB, "Points" CLOB, "Combined elapsed time" CLOB)
| What points has james allen as the skipper? | SELECT "Points" FROM table_70305 WHERE "Skipper" = 'james allen' | SELECT "Points" FROM "table_70305" WHERE "Skipper" = 'james allen' | 0.064453 |
CREATE TABLE stadium (id NUMBER, name CLOB, Home_Games NUMBER, Average_Attendance FLOAT, Total_Attendance FLOAT, Capacity_Percentage FLOAT)
CREATE TABLE injury_accident (game_id NUMBER, id NUMBER, Player CLOB, Injury CLOB, Number_of_matches CLOB, Source CLOB)
CREATE TABLE game (stadium_id NUMBER, id NUMBER, Season NUMBER, Date CLOB, Home_team CLOB, Away_team CLOB, Score CLOB, Competition CLOB)
| I want to see trend of the number of season by season, and order by the X-axis in ascending. | SELECT Season, COUNT(Season) FROM game GROUP BY Season ORDER BY Season | SELECT "Season", COUNT("Season") FROM "game" GROUP BY "Season" ORDER BY "Season" | 0.078125 |
CREATE TABLE teachers (LastName CLOB, FirstName CLOB, Classroom NUMBER)
CREATE TABLE list (LastName CLOB, FirstName CLOB, Grade NUMBER, Classroom NUMBER)
| For each fourth-grade classroom, show the classroom number and the total number of students using it. Show the correlation. | SELECT Classroom, COUNT(*) FROM list WHERE Grade = "4" GROUP BY Classroom | SELECT "Classroom", COUNT(*) FROM "list" WHERE "4" = "Grade" GROUP BY "Classroom" | 0.079102 |
CREATE TABLE table_name_64 (wins NUMBER, against VARCHAR2, draws VARCHAR2)
| How many wins for team with 1800 Against and more than 0 byes? | SELECT MAX(wins) FROM table_name_64 WHERE against = 1800 AND draws > 0 | SELECT MAX("wins") FROM "table_name_64" WHERE "against" = 1800 AND "draws" > 0 | 0.076172 |
CREATE TABLE table_41573 ("Week of" CLOB, "Tier" CLOB, "Winner" CLOB, "Runner-up" CLOB, "Semi finalists" CLOB)
| What is Winner, when Week is 8 May, when Semi Finalists is Helena Sukov Mary Pierce, and when Runner-Up is Conchita Mart nez Patricia Tarabini? | SELECT "Winner" FROM table_41573 WHERE "Week of" = '8 may' AND "Semi finalists" = 'helena suková mary pierce' AND "Runner-up" = 'conchita martínez patricia tarabini' | SELECT "Winner" FROM "table_41573" WHERE "Runner-up" = 'conchita martínez patricia tarabini' AND "Semi finalists" = 'helena suková mary pierce' AND "Week of" = '8 may' | 0.163086 |
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto 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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom 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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE procedures_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 labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom 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 d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title 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 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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name 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)
| how many patients have expired after they have been diagnosed with comp-oth cardiac device within 2 months? | SELECT COUNT(DISTINCT t2.subject_id) FROM (SELECT t1.subject_id, t1.charttime FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'comp-oth cardiac device')) AS t1 GROUP BY t1.subject_id HAVING MIN(t1.charttime) = t1.charttime) AS t2 JOIN (SELECT patients.subject_id, admissions.hadm_id, patients.dod FROM admissions JOIN patients ON patients.subject_id = admissions.subject_id WHERE NOT patients.dod IS NULL) AS t3 ON t2.subject_id = t3.subject_id WHERE (DATETIME(t3.dod) BETWEEN DATETIME(t2.charttime) AND DATETIME(t2.charttime, '+2 month')) OR (DATETIME(t2.charttime) BETWEEN DATETIME(t3.dod) AND DATETIME(t3.dod, '+2 month')) | WITH "t2" AS (SELECT "admissions"."subject_id", "diagnoses_icd"."charttime" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'comp-oth cardiac device' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" GROUP BY "admissions"."subject_id" HAVING "diagnoses_icd"."charttime" = MIN("diagnoses_icd"."charttime")), "t3" AS (SELECT "patients"."subject_id", "patients"."dod" FROM "admissions" JOIN "patients" ON "admissions"."subject_id" = "patients"."subject_id" AND NOT "patients"."dod" IS NULL) SELECT COUNT(DISTINCT "t2"."subject_id") FROM "t2" "t2" JOIN "t3" "t3" ON "t2"."subject_id" = "t3"."subject_id" AND ((DATETIME("t2"."charttime") <= DATETIME("t3"."dod") AND DATETIME("t2"."charttime", '+2 month') >= DATETIME("t3"."dod")) OR (DATETIME("t2"."charttime") <= DATETIME("t3"."dod", '+2 month') AND DATETIME("t2"."charttime") >= DATETIME("t3"."dod"))) WHERE (DATETIME("t2"."charttime") <= DATETIME("t3"."dod") AND DATETIME("t2"."charttime", '+2 month') >= DATETIME("t3"."dod")) OR (DATETIME("t2"."charttime") <= DATETIME("t3"."dod", '+2 month') AND DATETIME("t2"."charttime") >= DATETIME("t3"."dod")) | 1.1875 |
CREATE TABLE table_75944 ("Round" CLOB, "Date" CLOB, "Home team" CLOB, "Score" CLOB, "Away team" CLOB)
| What is the name of the home team on April 13, 2008 when Itabuna was the away team? | SELECT "Home team" FROM table_75944 WHERE "Date" = 'april 13, 2008' AND "Away team" = 'itabuna' | SELECT "Home team" FROM "table_75944" WHERE "Away team" = 'itabuna' AND "Date" = 'april 13, 2008' | 0.094727 |
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 labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_diagnoses (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 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 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 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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime 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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom 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_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
| is the value of urea nitrogen of a patient last measured on the current hospital visit greater than the value of patient 49176 first measured on the current hospital visit? | SELECT (SELECT labevents.valuenum FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 49176 AND admissions.dischtime IS NULL) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'urea nitrogen') ORDER BY labevents.charttime DESC LIMIT 1) > (SELECT labevents.valuenum FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 49176 AND admissions.dischtime IS NULL) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'urea nitrogen') ORDER BY labevents.charttime LIMIT 1) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 49176 GROUP BY "hadm_id"), "_u_1" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'urea nitrogen' GROUP BY "itemid") SELECT (SELECT "labevents"."valuenum" FROM "labevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "labevents"."hadm_id" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "labevents"."itemid" WHERE NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL ORDER BY "labevents"."charttime" DESC FETCH FIRST 1 ROWS ONLY) > (SELECT "labevents"."valuenum" FROM "labevents" LEFT JOIN "_u_0" "_u_3" ON "_u_3"."" = "labevents"."hadm_id" LEFT JOIN "_u_1" "_u_4" ON "_u_4"."" = "labevents"."itemid" WHERE NOT "_u_3"."" IS NULL AND NOT "_u_4"."" IS NULL ORDER BY "labevents"."charttime" FETCH FIRST 1 ROWS ONLY) | 0.838867 |
CREATE TABLE table_53866 ("Player" CLOB, "Position" CLOB, "Tries" FLOAT, "Goals" FLOAT, "Points" FLOAT)
| I want to know the player with tries more than 1 and position of hooker with points less than 54 | SELECT "Player" FROM table_53866 WHERE "Tries" > '1' AND "Points" < '54' AND "Position" = 'hooker' | SELECT "Player" FROM "table_53866" WHERE "Points" < '54' AND "Position" = 'hooker' AND "Tries" > '1' | 0.097656 |
CREATE TABLE table_203_440 (id NUMBER, "rank" NUMBER, "player" CLOB, "from" CLOB, "to" CLOB, "transfer fee\ ( \\u20ac million ) " NUMBER, "year" NUMBER)
| how many players had a transfer fee of at least 8 million ? | SELECT COUNT("player") FROM table_203_440 WHERE "transfer fee\n(\u20ac million)" >= 8 | SELECT COUNT("player") FROM "table_203_440" WHERE "transfer fee\n(\u20ac million)" >= 8 | 0.084961 |
CREATE TABLE Products (Product_ID VARCHAR2, Product_Name VARCHAR2, Product_Price NUMBER, Product_Description VARCHAR2, Other_Product_Service_Details VARCHAR2)
CREATE TABLE Performers_in_Bookings (Order_ID NUMBER, Performer_ID NUMBER)
CREATE TABLE Marketing_Regions (Marketing_Region_Code CHAR, Marketing_Region_Name VARCHAR2, Marketing_Region_Descriptrion VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Customer_Orders (Order_ID NUMBER, Customer_ID NUMBER, Store_ID NUMBER, Order_Date DATETIME, Planned_Delivery_Date DATETIME, Actual_Delivery_Date DATETIME, Other_Order_Details VARCHAR2)
CREATE TABLE Drama_Workshop_Groups (Workshop_Group_ID NUMBER, Address_ID NUMBER, Currency_Code CHAR, Marketing_Region_Code CHAR, Store_Name VARCHAR2, Store_Phone VARCHAR2, Store_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Ref_Payment_Methods (payment_method_code CHAR, payment_method_description VARCHAR2)
CREATE TABLE Stores (Store_ID VARCHAR2, Address_ID NUMBER, Marketing_Region_Code CHAR, Store_Name VARCHAR2, Store_Phone VARCHAR2, Store_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Services (Service_ID NUMBER, Service_Type_Code CHAR, Workshop_Group_ID NUMBER, Product_Description VARCHAR2, Product_Name VARCHAR2, Product_Price NUMBER, Other_Product_Service_Details VARCHAR2)
CREATE TABLE Invoice_Items (Invoice_Item_ID NUMBER, Invoice_ID NUMBER, Order_ID NUMBER, Order_Item_ID NUMBER, Product_ID NUMBER, Order_Quantity NUMBER, Other_Item_Details VARCHAR2)
CREATE TABLE Order_Items (Order_Item_ID NUMBER, Order_ID NUMBER, Product_ID NUMBER, Order_Quantity VARCHAR2, Other_Item_Details VARCHAR2)
CREATE TABLE Customers (Customer_ID VARCHAR2, Address_ID NUMBER, Customer_Name VARCHAR2, Customer_Phone VARCHAR2, Customer_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Invoices (Invoice_ID NUMBER, Order_ID NUMBER, payment_method_code CHAR, Product_ID NUMBER, Order_Quantity VARCHAR2, Other_Item_Details VARCHAR2, Order_Item_ID NUMBER)
CREATE TABLE Clients (Client_ID NUMBER, Address_ID NUMBER, Customer_Email_Address VARCHAR2, Customer_Name VARCHAR2, Customer_Phone VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Bookings (Booking_ID NUMBER, Customer_ID NUMBER, Workshop_Group_ID VARCHAR2, Status_Code CHAR, Store_ID NUMBER, Order_Date DATETIME, Planned_Delivery_Date DATETIME, Actual_Delivery_Date DATETIME, Other_Order_Details VARCHAR2)
CREATE TABLE Bookings_Services (Order_ID NUMBER, Product_ID NUMBER)
CREATE TABLE Addresses (Address_ID VARCHAR2, Line_1 VARCHAR2, Line_2 VARCHAR2, City_Town VARCHAR2, State_County VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Performers (Performer_ID NUMBER, Address_ID NUMBER, Customer_Name VARCHAR2, Customer_Phone VARCHAR2, Customer_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Ref_Service_Types (Service_Type_Code CHAR, Parent_Service_Type_Code CHAR, Service_Type_Description VARCHAR2)
| How many drama workshop groups are there in each city? Return both the city and the count Plot them as bar chart, order by the y-axis from high to low please. | SELECT City_Town, COUNT(*) FROM Addresses AS T1 JOIN Drama_Workshop_Groups AS T2 ON T1.Address_ID = T2.Address_ID GROUP BY T1.City_Town ORDER BY COUNT(*) DESC | SELECT "City_Town", COUNT(*) FROM "Addresses" "T1" JOIN "Drama_Workshop_Groups" "T2" ON "T1"."Address_ID" = "T2"."Address_ID" GROUP BY "T1"."City_Town" ORDER BY COUNT(*) DESC | 0.169922 |
CREATE TABLE table_70738 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Decision" CLOB, "Attendance" FLOAT, "Record" CLOB)
| What was the date of the home Detroit game with a decision of Joseph and a record of 27 13 5 2? | SELECT "Date" FROM table_70738 WHERE "Decision" = 'joseph' AND "Home" = 'detroit' AND "Record" = '27–13–5–2' | SELECT "Date" FROM "table_70738" WHERE "Decision" = 'joseph' AND "Home" = 'detroit' AND "Record" = '27–13–5–2' | 0.107422 |
CREATE TABLE staff (staff_id NUMBER, gender CLOB, first_name CLOB, last_name CLOB, email_address CLOB, phone_number CLOB)
CREATE TABLE products (product_id NUMBER, parent_product_id NUMBER, product_category_code CLOB, date_product_first_available TIME, date_product_discontinued TIME, product_name CLOB, product_description CLOB, product_price NUMBER)
CREATE TABLE customers (customer_id NUMBER, customer_type_code CLOB, address_line_1 CLOB, address_line_2 CLOB, town_city CLOB, state CLOB, email_address CLOB, phone_number CLOB)
CREATE TABLE complaints (complaint_id NUMBER, product_id NUMBER, customer_id NUMBER, complaint_outcome_code CLOB, complaint_status_code CLOB, complaint_type_code CLOB, date_complaint_raised TIME, date_complaint_closed TIME, staff_id NUMBER)
| Find the emails of customers who has filed a complaints of the product with the most complaints. | SELECT t1.email_address FROM customers AS t1 JOIN complaints AS t2 ON t1.customer_id = t2.customer_id GROUP BY t1.customer_id ORDER BY COUNT(*) LIMIT 1 | SELECT "t1"."email_address" FROM "customers" "t1" JOIN "complaints" "t2" ON "t1"."customer_id" = "t2"."customer_id" GROUP BY "t1"."customer_id" ORDER BY COUNT(*) FETCH FIRST 1 ROWS ONLY | 0.180664 |
Subsets and Splits
No saved queries yet
Save your SQL queries to embed, download, and access them later. Queries will appear here once saved.