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CREATE TABLE table_45119 ("Name" CLOB, "Latitude" CLOB, "Longitude" CLOB, "Diameter ( km ) " FLOAT, "Year named" CLOB)
| What is the smallest diameter for Eirene Tholus? | SELECT MIN("Diameter (km)") FROM table_45119 WHERE "Name" = 'eirene tholus' | SELECT MIN("Diameter (km)") FROM "table_45119" WHERE "Name" = 'eirene tholus' | 0.075195 |
CREATE TABLE table_3890 ("Model - Computer name" CLOB, "CPU type" CLOB, "No. of processors" CLOB, "Period of operation" CLOB, "Maximum peak performance ( Teraflops ) " CLOB, "Use" CLOB)
| Name the use for amd opteron dual-core 2.6ghz | SELECT "Use" FROM table_3890 WHERE "CPU type" = 'AMD Opteron dual-core 2.6GHz' | SELECT "Use" FROM "table_3890" WHERE "CPU type" = 'AMD Opteron dual-core 2.6GHz' | 0.078125 |
CREATE TABLE table_27284 ("Model" CLOB, "Power" CLOB, "Torque" CLOB, "Gearbox" CLOB, "Weight" CLOB, "Seating" CLOB, "Brakes" CLOB, "Wheels" CLOB, "Tyres" CLOB)
| What kind of brakes for the model type rb 4at with 16x8.0jj (front) 16x8.0jj (rear) wheels and 225/50r16 92v(front) 225/50r16 92v(rear) tyres? | SELECT "Brakes" FROM table_27284 WHERE "Wheels" = '16x8.0JJ (front) 16x8.0JJ (rear)' AND "Tyres" = '225/50R16 92V(front) 225/50R16 92V(rear)' AND "Model" = 'Type RB 4AT' | SELECT "Brakes" FROM "table_27284" WHERE "Model" = 'Type RB 4AT' AND "Tyres" = '225/50R16 92V(front) 225/50R16 92V(rear)' AND "Wheels" = '16x8.0JJ (front) 16x8.0JJ (rear)' | 0.166992 |
CREATE TABLE table_44798 ("Date" CLOB, "Venue" CLOB, "Opponents" CLOB, "Score" CLOB, "Comp" CLOB, "Attendance" CLOB)
| Which Comp is on 2004-10-17? | SELECT "Comp" FROM table_44798 WHERE "Date" = '2004-10-17' | SELECT "Comp" FROM "table_44798" WHERE "Date" = '2004-10-17' | 0.058594 |
CREATE TABLE table_204_713 (id NUMBER, "rank" NUMBER, "bib" NUMBER, "athlete" CLOB, "country" CLOB, "time" CLOB, "deficit" CLOB)
| which competitor came in first for this race ? | SELECT "athlete" FROM table_204_713 WHERE id = 1 | SELECT "athlete" FROM "table_204_713" WHERE "id" = 1 | 0.050781 |
CREATE TABLE news_report (journalist_ID NUMBER, Event_ID NUMBER, Work_Type CLOB)
CREATE TABLE event (Event_ID NUMBER, Date CLOB, Venue CLOB, Name CLOB, Event_Attendance NUMBER)
CREATE TABLE journalist (journalist_ID NUMBER, Name CLOB, Nationality CLOB, Age CLOB, Years_working NUMBER)
| Draw a bar chart of nationality versus the average of age, and I want to order in ascending by the names please. | SELECT Nationality, AVG(Age) FROM journalist GROUP BY Nationality ORDER BY Nationality | SELECT "Nationality", AVG("Age") FROM "journalist" GROUP BY "Nationality" ORDER BY "Nationality" | 0.09375 |
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
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 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 treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
| on the first intensive care unit visit, when was the last time that patient 021-198501 had a output y (ml)-chest tube y - a #1 right lateral b #4 left lateral output? | SELECT intakeoutput.intakeoutputtime FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '021-198501') AND NOT patient.unitdischargetime IS NULL ORDER BY patient.unitadmittime LIMIT 1) AND intakeoutput.cellpath LIKE '%output%' AND intakeoutput.celllabel = 'output y (ml)-chest tube y - a #1 right lateral b #4 left lateral' ORDER BY intakeoutput.intakeoutputtime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '021-198501' 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 AND NOT "patient"."unitdischargetime" IS NULL GROUP BY "patientunitstayid" ORDER BY "patient"."unitadmittime" FETCH FIRST 1 ROWS ONLY) SELECT "intakeoutput"."intakeoutputtime" FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'output y (ml)-chest tube y - a #1 right lateral b #4 left lateral' AND "intakeoutput"."cellpath" LIKE '%output%' AND NOT "_u_1"."" IS NULL ORDER BY "intakeoutput"."intakeoutputtime" DESC FETCH FIRST 1 ROWS ONLY | 0.822266 |
CREATE TABLE table_22685 ("Game" FLOAT, "Date" CLOB, "Opponent" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location" CLOB, "Record" CLOB)
| What was the score in the game that had a record of 25-8? | SELECT "Score" FROM table_22685 WHERE "Record" = '25-8' | SELECT "Score" FROM "table_22685" WHERE "Record" = '25-8' | 0.055664 |
CREATE TABLE table_34342 ("Score" CLOB, "Opposition" CLOB, "Venue" CLOB, "City" CLOB, "Year" FLOAT)
| What is the lowest year that has chester-le-street as the city, with 345 runs as the score? | SELECT MIN("Year") FROM table_34342 WHERE "City" = 'chester-le-street' AND "Score" = '345 runs' | SELECT MIN("Year") FROM "table_34342" WHERE "City" = 'chester-le-street' AND "Score" = '345 runs' | 0.094727 |
CREATE TABLE table_name_74 (obesity_rank NUMBER, obese_children_and_adolescents VARCHAR2)
| What's the rank when the obese children and adolescent count is 14.2%? | SELECT SUM(obesity_rank) FROM table_name_74 WHERE obese_children_and_adolescents = "14.2%" | SELECT SUM("obesity_rank") FROM "table_name_74" WHERE "14.2%" = "obese_children_and_adolescents" | 0.09375 |
CREATE TABLE table_50455 ("Country" CLOB, "2002" FLOAT, "2003" FLOAT, "2004" FLOAT, "2005" FLOAT, "2006" FLOAT, "2007" FLOAT, "2008" FLOAT, "2009" FLOAT, "2010" FLOAT, "2011" FLOAT)
| What is the most noteworthy 2006 that has 2008 littler than 5,330, and a Country of Peru, and 2009 littler than 1,260? | SELECT MAX("2006") FROM table_50455 WHERE "2008" < '5,330' AND "Country" = 'peru' AND "2009" < '1,260' | SELECT MAX("2006") FROM "table_50455" WHERE "2008" < '5,330' AND "2009" < '1,260' AND "Country" = 'peru' | 0.101563 |
CREATE TABLE table_name_43 (result VARCHAR2, attendance VARCHAR2)
| What is the result of the game when the attendance is 75,466? | SELECT result FROM table_name_43 WHERE attendance = "75,466" | SELECT "result" FROM "table_name_43" WHERE "75,466" = "attendance" | 0.064453 |
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 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 prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| find the number of hispanic/latino-puerto rican patients whose drug code is tacr1. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "HISPANIC/LATINO - PUERTO RICAN" AND prescriptions.formulary_drug_cd = "TACR1" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "TACR1" = "prescriptions"."formulary_drug_cd" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "HISPANIC/LATINO - PUERTO RICAN" = "demographic"."ethnicity" | 0.254883 |
CREATE TABLE Faculty (FacID NUMBER, Lname VARCHAR2, Fname VARCHAR2, Rank VARCHAR2, Sex VARCHAR2, Phone NUMBER, Room VARCHAR2, Building VARCHAR2)
CREATE TABLE Student (StuID NUMBER, LName VARCHAR2, Fname VARCHAR2, Age NUMBER, Sex VARCHAR2, Major NUMBER, Advisor NUMBER, city_code VARCHAR2)
CREATE TABLE Faculty_Participates_in (FacID NUMBER, actid NUMBER)
CREATE TABLE Activity (actid NUMBER, activity_name VARCHAR2)
CREATE TABLE Participates_in (stuid NUMBER, actid NUMBER)
| What is the first name of the faculty members who participated in at least one activity? For each of them, also show the number of activities they participated in with a bar chart, list by the Y in asc. | SELECT Fname, COUNT(*) FROM Faculty AS T1 JOIN Faculty_Participates_in AS T2 ON T1.FacID = T2.FacID GROUP BY T1.FacID ORDER BY COUNT(*) | SELECT "Fname", COUNT(*) FROM "Faculty" "T1" JOIN "Faculty_Participates_in" "T2" ON "T1"."FacID" = "T2"."FacID" GROUP BY "T1"."FacID" ORDER BY COUNT(*) | 0.147461 |
CREATE TABLE table_name_47 (riding VARCHAR2, rank VARCHAR2)
| What is the Riding, when the Rank is 4th? | SELECT riding FROM table_name_47 WHERE rank = "4th" | SELECT "riding" FROM "table_name_47" WHERE "4th" = "rank" | 0.055664 |
CREATE TABLE table_name_56 (away_team VARCHAR2)
| What was the score when the away team was Collingwood? | SELECT away_team AS score FROM table_name_56 WHERE away_team = "collingwood" | SELECT "away_team" AS "score" FROM "table_name_56" WHERE "away_team" = "collingwood" | 0.082031 |
CREATE TABLE table_40510 ("Year" FLOAT, "Competition" CLOB, "Venue" CLOB, "Position" CLOB, "Event" CLOB)
| Which year was the 100 m event played in Thessaloniki, Greece? | SELECT MIN("Year") FROM table_40510 WHERE "Event" = '100 m' AND "Venue" = 'thessaloniki, greece' | SELECT MIN("Year") FROM "table_40510" WHERE "Event" = '100 m' AND "Venue" = 'thessaloniki, greece' | 0.095703 |
CREATE TABLE table_name_85 (lane NUMBER, country VARCHAR2, rank VARCHAR2)
| What is the highest lane for Brazil, ranked less than 8? | SELECT MAX(lane) FROM table_name_85 WHERE country = "brazil" AND rank < 8 | SELECT MAX("lane") FROM "table_name_85" WHERE "brazil" = "country" AND "rank" < 8 | 0.079102 |
CREATE TABLE table_12063 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| With a North Melbourne away team, what is the average crowd? | SELECT AVG("Crowd") FROM table_12063 WHERE "Away team" = 'north melbourne' | SELECT AVG("Crowd") FROM "table_12063" WHERE "Away team" = 'north melbourne' | 0.074219 |
CREATE TABLE table_78477 ("Date" CLOB, "Venue" CLOB, "Score" CLOB, "Result" CLOB, "Competition" CLOB)
| What is the venue for the friendly competition and score of 4-0? | SELECT "Venue" FROM table_78477 WHERE "Score" = '4-0' AND "Competition" = 'friendly' | SELECT "Venue" FROM "table_78477" WHERE "Competition" = 'friendly' AND "Score" = '4-0' | 0.083984 |
CREATE TABLE table_1342292_45 (result VARCHAR2, first_elected VARCHAR2)
| What was the election result for the candidate first elected in 1918? | SELECT result FROM table_1342292_45 WHERE first_elected = 1918 | SELECT "result" FROM "table_1342292_45" WHERE "first_elected" = 1918 | 0.066406 |
CREATE TABLE table_name_57 (attendance VARCHAR2, opponent_number VARCHAR2)
| How many were in attendance when they played vs. 12 Stanford? | SELECT attendance FROM table_name_57 WHERE opponent_number = "vs. 12 stanford" | SELECT "attendance" FROM "table_name_57" WHERE "opponent_number" = "vs. 12 stanford" | 0.082031 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many of the patients diagnosed with chr kidney dis stage iv were discharged to snf? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.discharge_location = "SNF" AND diagnoses.short_title = "Chr kidney dis stage IV" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Chr kidney dis stage IV" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "SNF" = "demographic"."discharge_location" | 0.237305 |
CREATE TABLE table_26602 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Location" CLOB, "Final Score" CLOB, "Attendance" FLOAT, "Record" CLOB)
| Name the final score for exhibition stadium for september 10 | SELECT "Final Score" FROM table_26602 WHERE "Location" = 'Exhibition Stadium' AND "Date" = 'September 10' | SELECT "Final Score" FROM "table_26602" WHERE "Date" = 'September 10' AND "Location" = 'Exhibition Stadium' | 0.104492 |
CREATE TABLE table_48403 ("Name" CLOB, "GP-GS" FLOAT, "Gain" FLOAT, "Loss" FLOAT, "Long" FLOAT, "Avg/G" FLOAT)
| What is the sum of Avg/G for Dan Dierking when the Loss is 0 and the Gain is more than 34? | SELECT SUM("Avg/G") FROM table_48403 WHERE "Loss" = '0' AND "Name" = 'dan dierking' AND "Gain" > '34' | SELECT SUM("Avg/G") FROM "table_48403" WHERE "Gain" > '34' AND "Loss" = '0' AND "Name" = 'dan dierking' | 0.100586 |
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 diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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 lab test chart time is 2137-06-30 06:04:00? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE lab.charttime = "2137-06-30 06:04:00" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "2137-06-30 06:04:00" = "lab"."charttime" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.166016 |
CREATE TABLE Elimination (Elimination_ID CLOB, Wrestler_ID CLOB, Team CLOB, Eliminated_By CLOB, Elimination_Move CLOB, Time CLOB)
CREATE TABLE wrestler (Wrestler_ID NUMBER, Name CLOB, Reign CLOB, Days_held CLOB, Location CLOB, Event CLOB)
| A pie chart about the proportion of the total number for each team. | SELECT Team, COUNT(*) FROM Elimination GROUP BY Team | SELECT "Team", COUNT(*) FROM "Elimination" GROUP BY "Team" | 0.056641 |
CREATE TABLE table_67807 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Attendance" CLOB, "Record" CLOB)
| Can you tell me the Score that has the Opponent of brewers, and the Attendance of 11,235? | SELECT "Score" FROM table_67807 WHERE "Opponent" = 'brewers' AND "Attendance" = '11,235' | SELECT "Score" FROM "table_67807" WHERE "Attendance" = '11,235' AND "Opponent" = 'brewers' | 0.087891 |
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 lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid 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)
| how many patients whose death status is 0 and diagnoses short title is chordae tendinae rupture? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.expire_flag = "0" AND diagnoses.short_title = "Chordae tendinae rupture" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Chordae tendinae rupture" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "0" = "demographic"."expire_flag" | 0.229492 |
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
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 d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
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)
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 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 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 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 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 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 procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
| since 2105 what are the four most common specimen test given to patients in the same month after being diagnosed with candidias urogenital nec? | SELECT t3.spec_type_desc FROM (SELECT t2.spec_type_desc, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 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 = 'candidias urogenital nec') AND STRFTIME('%y', diagnoses_icd.charttime) >= '2105') AS t1 JOIN (SELECT admissions.subject_id, microbiologyevents.spec_type_desc, microbiologyevents.charttime FROM microbiologyevents JOIN admissions ON microbiologyevents.hadm_id = admissions.hadm_id WHERE STRFTIME('%y', microbiologyevents.charttime) >= '2105') AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND DATETIME(t1.charttime, 'start of month') = DATETIME(t2.charttime, 'start of month') GROUP BY t2.spec_type_desc) AS t3 WHERE t3.c1 <= 4 | WITH "t2" AS (SELECT "admissions"."subject_id", "microbiologyevents"."spec_type_desc", "microbiologyevents"."charttime" FROM "microbiologyevents" JOIN "admissions" ON "admissions"."hadm_id" = "microbiologyevents"."hadm_id" WHERE STRFTIME('%y', "microbiologyevents"."charttime") >= '2105'), "t3" AS (SELECT "t2"."spec_type_desc", 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" = 'candidias urogenital nec' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "t2" "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND "diagnoses_icd"."charttime" < "t2"."charttime" AND DATETIME("diagnoses_icd"."charttime", 'start of month') = DATETIME("t2"."charttime", 'start of month') WHERE STRFTIME('%y', "diagnoses_icd"."charttime") >= '2105' GROUP BY "t2"."spec_type_desc") SELECT "t3"."spec_type_desc" FROM "t3" "t3" WHERE "t3"."c1" <= 4 | 0.978516 |
CREATE TABLE table_39487 ("Name" CLOB, "Pennant number" CLOB, "Ordered" FLOAT, "Builder" CLOB, "Commissioned" CLOB)
| How many ships are named Monge? | SELECT COUNT("Ordered") FROM table_39487 WHERE "Name" = 'monge' | SELECT COUNT("Ordered") FROM "table_39487" WHERE "Name" = 'monge' | 0.063477 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| find the number of patients less than 56 years of age who have po/ng route of drug administration. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "56" AND prescriptions.route = "PO/NG" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "PO/NG" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "56" > "demographic"."age" | 0.209961 |
CREATE TABLE authorship (authid NUMBER, instid NUMBER, paperid NUMBER, authorder NUMBER)
CREATE TABLE papers (paperid NUMBER, title CLOB)
CREATE TABLE authors (authid NUMBER, lname CLOB, fname CLOB)
CREATE TABLE inst (instid NUMBER, name CLOB, country CLOB)
| Find the titles of papers whose first author is affiliated with an institution in the country 'Japan' and has last name 'Ohori'? | SELECT t3.title FROM authors AS t1 JOIN authorship AS t2 ON t1.authid = t2.authid JOIN papers AS t3 ON t2.paperid = t3.paperid JOIN inst AS t4 ON t2.instid = t4.instid WHERE t4.country = "Japan" AND t2.authorder = 1 AND t1.lname = "Ohori" | SELECT "t3"."title" FROM "authors" "t1" JOIN "authorship" "t2" ON "t1"."authid" = "t2"."authid" AND "t2"."authorder" = 1 JOIN "papers" "t3" ON "t2"."paperid" = "t3"."paperid" JOIN "inst" "t4" ON "Japan" = "t4"."country" AND "t2"."instid" = "t4"."instid" WHERE "Ohori" = "t1"."lname" | 0.275391 |
CREATE TABLE table_4514 ("Rank" CLOB, "Name and flag" CLOB, "Water area ( km 2 ) " FLOAT, "Water area as percentage of total area" CLOB, "Percentage of national freshwater area" CLOB)
| Which province and flag has a water area (km 2) of 0? | SELECT "Name and flag" FROM table_4514 WHERE "Water area (km 2 )" = '0' | SELECT "Name and flag" FROM "table_4514" WHERE "Water area (km 2 )" = '0' | 0.071289 |
CREATE TABLE table_66831 ("Club" CLOB, "Played" CLOB, "Drawn" CLOB, "Lost" CLOB, "Points for" CLOB, "Points against" CLOB, "Tries for" CLOB, "Tries against" CLOB, "Try bonus" CLOB, "Losing bonus" CLOB, "Points" CLOB)
| For a team with 332 points for, what was the try bonus? | SELECT "Try bonus" FROM table_66831 WHERE "Points for" = '332' | SELECT "Try bonus" FROM "table_66831" WHERE "Points for" = '332' | 0.0625 |
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college 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_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location 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 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 instructor (instructor_id NUMBER, name VARCHAR2, uniqname 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 semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE area (course_id NUMBER, area 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 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 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)
| In order to fulfill my PreMajor requirement , which Fall / Winter courses can I take ? | SELECT DISTINCT COURSEalias0.department, COURSEalias0.name, COURSEalias0.number, SEMESTERalias0.semester FROM (SELECT course_id FROM student_record WHERE earn_credit = 'Y' AND student_id = 1) AS DERIVED_TABLEalias0, course AS COURSEalias0, course_offering AS COURSE_OFFERINGalias0, program_course AS PROGRAM_COURSEalias0, semester AS SEMESTERalias0 WHERE COURSEalias0.course_id = COURSE_OFFERINGalias0.course_id AND NOT COURSEalias0.course_id IN (DERIVED_TABLEalias0.course_id) AND NOT COURSEalias0.course_id IN (SELECT DISTINCT COURSE_PREREQUISITEalias0.course_id FROM course_prerequisite AS COURSE_PREREQUISITEalias0 WHERE NOT COURSE_PREREQUISITEalias0.pre_course_id IN (DERIVED_TABLEalias0.course_id)) AND COURSEalias0.department = 'department0' AND PROGRAM_COURSEalias0.category LIKE '%PreMajor%' AND PROGRAM_COURSEalias0.course_id = COURSE_OFFERINGalias0.course_id AND SEMESTERalias0.semester IN ('FA', 'WN') AND SEMESTERalias0.semester_id = COURSE_OFFERINGalias0.semester AND SEMESTERalias0.year = 2016 | SELECT DISTINCT "COURSEalias0"."department", "COURSEalias0"."name", "COURSEalias0"."number", "SEMESTERalias0"."semester" FROM "student_record" JOIN "course" "COURSEalias0" ON "COURSEalias0"."department" = 'department0' AND NOT "COURSEalias0"."course_id" IN ("course_id") AND NOT "COURSEalias0"."course_id" IN (SELECT DISTINCT "COURSE_PREREQUISITEalias0"."course_id" FROM "course_prerequisite" "COURSE_PREREQUISITEalias0" WHERE NOT "COURSE_PREREQUISITEalias0"."pre_course_id" IN ("course_id")) JOIN "course_offering" "COURSE_OFFERINGalias0" ON "COURSE_OFFERINGalias0"."course_id" = "COURSEalias0"."course_id" JOIN "program_course" "PROGRAM_COURSEalias0" ON "COURSE_OFFERINGalias0"."course_id" = "PROGRAM_COURSEalias0"."course_id" AND "PROGRAM_COURSEalias0"."category" LIKE '%PreMajor%' JOIN "semester" "SEMESTERalias0" ON "COURSE_OFFERINGalias0"."semester" = "SEMESTERalias0"."semester_id" AND "SEMESTERalias0"."semester" IN ('FA', 'WN') AND "SEMESTERalias0"."year" = 2016 WHERE "earn_credit" = 'Y' AND "student_id" = 1 | 0.994141 |
CREATE TABLE takes (ID VARCHAR2, course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER, grade VARCHAR2)
CREATE TABLE instructor (ID VARCHAR2, name VARCHAR2, dept_name VARCHAR2, salary NUMBER)
CREATE TABLE prereq (course_id VARCHAR2, prereq_id VARCHAR2)
CREATE TABLE section (course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER, building VARCHAR2, room_number VARCHAR2, time_slot_id VARCHAR2)
CREATE TABLE advisor (s_ID VARCHAR2, i_ID VARCHAR2)
CREATE TABLE department (dept_name VARCHAR2, building VARCHAR2, budget NUMBER)
CREATE TABLE classroom (building VARCHAR2, room_number VARCHAR2, capacity NUMBER)
CREATE TABLE student (ID VARCHAR2, name VARCHAR2, dept_name VARCHAR2, tot_cred NUMBER)
CREATE TABLE time_slot (time_slot_id VARCHAR2, day VARCHAR2, start_hr NUMBER, start_min NUMBER, end_hr NUMBER, end_min NUMBER)
CREATE TABLE course (course_id VARCHAR2, title VARCHAR2, dept_name VARCHAR2, credits NUMBER)
CREATE TABLE teaches (ID VARCHAR2, course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER)
| Find the maximum capacity among rooms in each building with a bar chart. | SELECT building, MAX(capacity) FROM classroom GROUP BY building | SELECT "building", MAX("capacity") FROM "classroom" GROUP BY "building" | 0.069336 |
CREATE TABLE table_20396710_1 (drawn VARCHAR2)
| when points against is points again, which are the drawn? | SELECT drawn FROM table_20396710_1 WHERE "points_against" = "points_against" | SELECT "drawn" FROM "table_20396710_1" WHERE "points_against" = "points_against" | 0.078125 |
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label 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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost 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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
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 d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| have any procedures been performed on patient 52598 last year? | SELECT COUNT(*) > 0 FROM procedures_icd WHERE procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 52598) AND DATETIME(procedures_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 52598 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "procedures_icd" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "procedures_icd"."hadm_id" WHERE DATETIME("procedures_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_0"."" IS NULL | 0.365234 |
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
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 code_description (code VARCHAR2, description CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt 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 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)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
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 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_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time 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 compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
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 class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
| show me the airlines that fly between TORONTO and DENVER | SELECT DISTINCT airline.airline_code FROM airline, airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'TORONTO' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DENVER' AND flight.airline_code = airline.airline_code AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code | SELECT DISTINCT "airline"."airline_code" FROM "airline" JOIN "flight" ON "airline"."airline_code" = "flight"."airline_code" JOIN "airport_service" "AIRPORT_SERVICE_0" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'TORONTO' JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'DENVER' | 0.552734 |
CREATE TABLE table_name_90 (year_s__of_manufacture VARCHAR2, quantity VARCHAR2, type VARCHAR2)
| Which Year(s) of manufacture has a Quantity larger than 39, and a Type of 1 c1 h2t? | SELECT year_s__of_manufacture FROM table_name_90 WHERE quantity > 39 AND type = "1′c1′ h2t" | SELECT "year_s__of_manufacture" FROM "table_name_90" WHERE "1′c1′ h2t" = "type" AND "quantity" > 39 | 0.09668 |
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_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 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 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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
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_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_icd_procedures (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 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 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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| was a procedure performed on patient 65838 this year? | SELECT COUNT(*) > 0 FROM procedures_icd WHERE procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 65838) AND DATETIME(procedures_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 65838 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "procedures_icd" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "procedures_icd"."hadm_id" WHERE DATETIME("procedures_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_0"."" IS NULL | 0.365234 |
CREATE TABLE PostHistoryTypes (Id NUMBER, Name 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 VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
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 PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description 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 PostTags (PostId NUMBER, TagId 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 Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
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 ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
| Questions tagged with [tag] and [do not] contain [search term] in body. | SELECT RANK() OVER (ORDER BY CreationDate DESC), Id AS "post_link", Tags, Score FROM Posts WHERE PostTypeId = 1 AND Tags LIKE '%<' + @tag + '>%' AND (@include = 1 AND STR_POSITION(Body, @text) > 0 OR @include = 0 AND STR_POSITION(Body, @text) = 0) AND Score >= 0 AND ClosedDate IS NULL ORDER BY CreationDate DESC | SELECT RANK() OVER (ORDER BY "CreationDate" DESC), "Id" AS "post_link", "Tags", "Score" FROM "Posts" WHERE "ClosedDate" IS NULL AND "PostTypeId" = 1 AND "Score" >= 0 AND "Tags" LIKE '%<' + @tag + '>%' AND (@include = 0 OR @include = 1) AND (@include = 0 OR STR_POSITION("Body", @text) > 0) AND STR_POSITION("Body", @text) = 0 ORDER BY "CreationDate" DESC | 0.345703 |
CREATE TABLE table_19722436_2 (lmp1_winning_team VARCHAR2, gt1_winning_team VARCHAR2)
| When peter kox roman rusinov is the gt1 of the winning team how many lmp1 winning teams are there? | SELECT COUNT(lmp1_winning_team) FROM table_19722436_2 WHERE gt1_winning_team = "Peter Kox Roman Rusinov" | SELECT COUNT("lmp1_winning_team") FROM "table_19722436_2" WHERE "Peter Kox Roman Rusinov" = "gt1_winning_team" | 0.107422 |
CREATE TABLE table_203_242 (id NUMBER, "season" CLOB, "competition" CLOB, "round" CLOB, "club" CLOB, "1st leg" CLOB, "2nd leg" CLOB)
| how long has fc shakhtyor salihorsk been playing in europe ? | SELECT MAX("season") - MIN("season") + 1 FROM table_203_242 | SELECT MAX("season") - MIN("season") + 1 FROM "table_203_242" | 0.05957 |
CREATE TABLE table_72931 ("DSL Type" CLOB, "Provider" CLOB, "Resale" CLOB, "Down ( up to kbit/s ) " FLOAT, "Up ( up to kbit/s ) " FLOAT)
| What are all the dsl type offered by the M-Net telecom company? | SELECT "DSL Type" FROM table_72931 WHERE "Provider" = 'M-net' | SELECT "DSL Type" FROM "table_72931" WHERE "Provider" = 'M-net' | 0.061523 |
CREATE TABLE table_80459 ("Representative" CLOB, "Years" CLOB, "State" CLOB, "Party" CLOB, "Lifespan" CLOB)
| What is the lifespan of the democratic party in New York, for which Terence J. Quinn is a representative? | SELECT "Lifespan" FROM table_80459 WHERE "Party" = 'democratic' AND "State" = 'new york' AND "Representative" = 'terence j. quinn' | SELECT "Lifespan" FROM "table_80459" WHERE "Party" = 'democratic' AND "Representative" = 'terence j. quinn' AND "State" = 'new york' | 0.128906 |
CREATE TABLE Document_Types (document_type_code VARCHAR2, document_description VARCHAR2)
CREATE TABLE Grants (grant_start_date VARCHAR2, grant_id VARCHAR2)
CREATE TABLE Documents (grant_id VARCHAR2, document_type_code VARCHAR2)
| For grants with both documents described as 'Regular' and documents described as 'Initial Application', list its start date. | SELECT T1.grant_start_date FROM Grants AS T1 JOIN Documents AS T2 ON T1.grant_id = T2.grant_id JOIN Document_Types AS T3 ON T2.document_type_code = T3.document_type_code WHERE T3.document_description = 'Regular' INTERSECT SELECT T1.grant_start_date FROM Grants AS T1 JOIN Documents AS T2 ON T1.grant_id = T2.grant_id JOIN Document_Types AS T3 ON T2.document_type_code = T3.document_type_code WHERE T3.document_description = 'Initial Application' | SELECT "T1"."grant_start_date" FROM "Grants" "T1" JOIN "Documents" "T2" ON "T1"."grant_id" = "T2"."grant_id" JOIN "Document_Types" "T3" ON "T2"."document_type_code" = "T3"."document_type_code" AND "T3"."document_description" = 'Regular' INTERSECT SELECT "T1"."grant_start_date" FROM "Grants" "T1" JOIN "Documents" "T2" ON "T1"."grant_id" = "T2"."grant_id" JOIN "Document_Types" "T3" ON "T2"."document_type_code" = "T3"."document_type_code" AND "T3"."document_description" = 'Initial Application' | 0.483398 |
CREATE TABLE table_train_83 ("id" NUMBER, "systolic_blood_pressure_sbp" NUMBER, "renal_disease" BOOLEAN, "diabetic" CLOB, "estimated_glomerular_filtration_rate_egfr" NUMBER, "iq" NUMBER, "geriatric_depression_scale_gds" NUMBER, "NOUSE" FLOAT)
| iq below 85 | SELECT * FROM table_train_83 WHERE iq < 85 | SELECT * FROM "table_train_83" WHERE "iq" < 85 | 0.044922 |
CREATE TABLE exhibition_record (exhibition_id NUMBER, date CLOB, attendance NUMBER)
CREATE TABLE artist (artist_id NUMBER, name CLOB, country CLOB, year_join NUMBER, age NUMBER)
CREATE TABLE exhibition (exhibition_id NUMBER, year NUMBER, theme CLOB, artist_id NUMBER, ticket_price NUMBER)
| Show all artist name, age, and country ordered by the yeared they joined. | SELECT name, age, country FROM artist ORDER BY year_join | SELECT "name", "age", "country" FROM "artist" ORDER BY "year_join" | 0.064453 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE 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 lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| how many patients whose discharge location is disch-tran to psych hosp and primary disease is t5 fracture? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.discharge_location = "DISCH-TRAN TO PSYCH HOSP" AND demographic.diagnosis = "T5 FRACTURE" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "DISCH-TRAN TO PSYCH HOSP" = "demographic"."discharge_location" AND "T5 FRACTURE" = "demographic"."diagnosis" | 0.179688 |
CREATE TABLE Apartments (apt_id NUMBER, building_id NUMBER, apt_type_code CHAR, apt_number CHAR, bathroom_count NUMBER, bedroom_count NUMBER, room_count CHAR)
CREATE TABLE Apartment_Buildings (building_id NUMBER, building_short_name CHAR, building_full_name VARCHAR2, building_description VARCHAR2, building_address VARCHAR2, building_manager VARCHAR2, building_phone VARCHAR2)
CREATE TABLE Guests (guest_id NUMBER, gender_code CHAR, guest_first_name VARCHAR2, guest_last_name VARCHAR2, date_of_birth DATETIME)
CREATE TABLE View_Unit_Status (apt_id NUMBER, apt_booking_id NUMBER, status_date DATETIME, available_yn BIT)
CREATE TABLE Apartment_Facilities (apt_id NUMBER, facility_code CHAR)
CREATE TABLE Apartment_Bookings (apt_booking_id NUMBER, apt_id NUMBER, guest_id NUMBER, booking_status_code CHAR, booking_start_date DATETIME, booking_end_date DATETIME)
| A bar chart for showing the number of the facility codes of apartments with more than 4 bedrooms. | SELECT facility_code, COUNT(facility_code) FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4 GROUP BY facility_code | SELECT "facility_code", COUNT("facility_code") FROM "Apartment_Facilities" "T1" JOIN "Apartments" "T2" ON "T1"."apt_id" = "T2"."apt_id" AND "T2"."bedroom_count" > 4 GROUP BY "facility_code" | 0.18457 |
CREATE TABLE table_name_64 (date VARCHAR2, score VARCHAR2)
| On what Date was the match with a Score of 6-2, 6-4? | SELECT date FROM table_name_64 WHERE score = "6-2, 6-4" | SELECT "date" FROM "table_name_64" WHERE "6-2, 6-4" = "score" | 0.05957 |
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
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 dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name 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 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 state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
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)
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 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 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 airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant 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 airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
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 equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
| i need a flight DL KANSAS CITY to SALT LAKE CITY | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'SALT LAKE CITY' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'KANSAS CITY' AND flight.to_airport = AIRPORT_SERVICE_0.airport_code AND flight.from_airport = AIRPORT_SERVICE_1.airport_code) AND flight.airline_code = 'DL' | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'SALT LAKE CITY' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."to_airport" AND "flight"."airline_code" = 'DL' JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."from_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'KANSAS CITY' | 0.527344 |
CREATE TABLE table_8656 ("Name" CLOB, "Pre-Season" FLOAT, "A-League" CLOB, "Finals" FLOAT, "Total" CLOB)
| Which Finals has a A-League of 0 6, and a Pre-Season larger than 0? | SELECT AVG("Finals") FROM table_8656 WHERE "A-League" = '0 6' AND "Pre-Season" > '0' | SELECT AVG("Finals") FROM "table_8656" WHERE "A-League" = '0 6' AND "Pre-Season" > '0' | 0.083984 |
CREATE TABLE table_name_48 (score VARCHAR2, tie_no VARCHAR2)
| What's the score of Tie number 11? | SELECT score FROM table_name_48 WHERE tie_no = "11" | SELECT "score" FROM "table_name_48" WHERE "11" = "tie_no" | 0.055664 |
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
| For those records from the products and each product's manufacturer, a bar chart shows the distribution of name and the amount of name , and group by attribute name. | SELECT T1.Name, COUNT(T1.Name) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name | SELECT "T1"."Name", COUNT("T1"."Name") FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T1"."Name" | 0.139648 |
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 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_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category 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 semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req 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 comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id 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 requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
| I 'd like to see 4 -credit The Sociocultural Context of ESL Teaching courses . | SELECT DISTINCT department, name, number FROM course WHERE (description LIKE '%The Sociocultural Context of ESL Teaching%' OR name LIKE '%The Sociocultural Context of ESL Teaching%') AND credits = 4 | SELECT DISTINCT "department", "name", "number" FROM "course" WHERE "credits" = 4 AND ("description" LIKE '%The Sociocultural Context of ESL Teaching%' OR "name" LIKE '%The Sociocultural Context of ESL Teaching%') | 0.207031 |
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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
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 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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_icd_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)
| since 02/2104 had patient 16472 been prescribed albumin 25% (12.5g / 50ml), tacrolimus or sodium bicarbonate? | SELECT COUNT(*) > 0 FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 16472) AND prescriptions.drug IN ('albumin 25% (12.5g / 50ml)', 'tacrolimus', 'sodium bicarbonate') AND STRFTIME('%y-%m', prescriptions.startdate) >= '2104-02' | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 16472 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" IN ('albumin 25% (12.5g / 50ml)', 'tacrolimus', 'sodium bicarbonate') AND NOT "_u_0"."" IS NULL AND STRFTIME('%y-%m', "prescriptions"."startdate") >= '2104-02' | 0.408203 |
CREATE TABLE table_49567 ("Date" CLOB, "H/A/N" CLOB, "Opponent" CLOB, "Score" CLOB, "Record" CLOB)
| What was the score of the game against the phoenix suns? | SELECT "Score" FROM table_49567 WHERE "Opponent" = 'phoenix suns' | SELECT "Score" FROM "table_49567" WHERE "Opponent" = 'phoenix suns' | 0.06543 |
CREATE TABLE table_50839 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Leading Scorer" CLOB, "Attendance" FLOAT, "Record" CLOB)
| Which Leading Scorer has a Record of 3-3? | SELECT "Leading Scorer" FROM table_50839 WHERE "Record" = '3-3' | SELECT "Leading Scorer" FROM "table_50839" WHERE "Record" = '3-3' | 0.063477 |
CREATE TABLE table_12045 ("Driver" CLOB, "Car #" FLOAT, "Make" CLOB, "Points" FLOAT, "Laps" FLOAT, "Winnings" CLOB)
| Which driver has a # smaller than 40, less than 151 points, and Winnings of $84,400? | SELECT "Make" FROM table_12045 WHERE "Car #" < '40' AND "Points" < '151' AND "Winnings" = '$84,400' | SELECT "Make" FROM "table_12045" WHERE "Car #" < '40' AND "Points" < '151' AND "Winnings" = '$84,400' | 0.098633 |
CREATE TABLE PersonFriend (name VARCHAR2, friend VARCHAR2, year NUMBER)
CREATE TABLE Person (name VARCHAR2, age NUMBER, city CLOB, gender CLOB, job CLOB)
| Please give me a bar chart to show the names and job titles of every person ordered alphabetically by name? | SELECT job, COUNT(job) FROM Person GROUP BY job ORDER BY name | SELECT "job", COUNT("job") FROM "Person" GROUP BY "job" ORDER BY "name" | 0.069336 |
CREATE TABLE table_18042409_1 (international_competition VARCHAR2, national_lacrosse_league VARCHAR2)
| List all the international lacrosse league competitions for Toronto Rock. | SELECT international_competition FROM table_18042409_1 WHERE national_lacrosse_league = "Toronto Rock" | SELECT "international_competition" FROM "table_18042409_1" WHERE "Toronto Rock" = "national_lacrosse_league" | 0.105469 |
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category 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 ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction 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 semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE area (course_id NUMBER, area 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 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_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id 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 requirement (requirement_id NUMBER, requirement VARCHAR2, college 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)
| Are there morning classes for STDABRD 255 ? | SELECT COUNT(*) > 0 FROM course, course_offering, semester WHERE course_offering.start_time < '12:00:00' AND course_offering.start_time >= '08:00:00' AND course.course_id = course_offering.course_id AND course.department = 'STDABRD' AND course.number = 255 AND semester.semester = 'WN' AND semester.semester_id = course_offering.semester AND semester.year = 2016 | SELECT COUNT(*) > 0 FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" AND "course_offering"."start_time" < '12:00:00' AND "course_offering"."start_time" >= '08:00:00' JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'WN' AND "semester"."year" = 2016 WHERE "course"."department" = 'STDABRD' AND "course"."number" = 255 | 0.404297 |
CREATE TABLE table_name_20 (total__000s_ NUMBER, year VARCHAR2)
| What is the amount of 000s from 1996? | SELECT SUM(total__000s_) FROM table_name_20 WHERE year = "1996" | SELECT SUM("total__000s_") FROM "table_name_20" WHERE "1996" = "year" | 0.067383 |
CREATE TABLE table_44751 ("Lane" FLOAT, "Name" CLOB, "Country" CLOB, "Mark" CLOB, "React" FLOAT)
| What is the total number of React, when Name is Sean Wroe, and when Lane is greater than 2? | SELECT COUNT("React") FROM table_44751 WHERE "Name" = 'sean wroe' AND "Lane" > '2' | SELECT COUNT("React") FROM "table_44751" WHERE "Lane" > '2' AND "Name" = 'sean wroe' | 0.082031 |
CREATE TABLE Rooms (RoomId CLOB, roomName CLOB, beds NUMBER, bedType CLOB, maxOccupancy NUMBER, basePrice NUMBER, decor CLOB)
CREATE TABLE Reservations (Code NUMBER, Room CLOB, CheckIn CLOB, CheckOut CLOB, Rate FLOAT, LastName CLOB, FirstName CLOB, Adults NUMBER, Kids NUMBER)
| Please use a bar chart to show the average price of the rooms in a different decor, list bars in descending order please. | SELECT decor, AVG(basePrice) FROM Rooms GROUP BY decor ORDER BY decor DESC | SELECT "decor", AVG("basePrice") FROM "Rooms" GROUP BY "decor" ORDER BY "decor" DESC | 0.082031 |
CREATE TABLE table_25453 ("Date" CLOB, "Location" CLOB, "Opponent" CLOB, "Terps Points" FLOAT, "Opp. Points" FLOAT, "Record" CLOB)
| Where were games played when the record was 9-1? | SELECT "Location" FROM table_25453 WHERE "Record" = '9-1' | SELECT "Location" FROM "table_25453" WHERE "Record" = '9-1' | 0.057617 |
CREATE TABLE table_47696 ("Rank" CLOB, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| Which Bronze has a Silver larger than 1, a Total larger than 3, a Nation of turkey, and a Gold smaller than 2? | SELECT SUM("Bronze") FROM table_47696 WHERE "Silver" > '1' AND "Total" > '3' AND "Nation" = 'turkey' AND "Gold" < '2' | SELECT SUM("Bronze") FROM "table_47696" WHERE "Gold" < '2' AND "Nation" = 'turkey' AND "Silver" > '1' AND "Total" > '3' | 0.116211 |
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)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
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 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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title 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_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value 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 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)
| what is the marital status of patient 10855 on their current hospital visit. | SELECT admissions.marital_status FROM admissions WHERE admissions.subject_id = 10855 AND admissions.dischtime IS NULL | SELECT "admissions"."marital_status" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 10855 | 0.12793 |
CREATE TABLE table_77923 ("Outcome" CLOB, "Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Partner" CLOB, "Opponents in the final" CLOB, "Score" CLOB)
| Who played on a hard surface? | SELECT "Partner" FROM table_77923 WHERE "Surface" = 'hard' | SELECT "Partner" FROM "table_77923" WHERE "Surface" = 'hard' | 0.058594 |
CREATE TABLE table_name_23 (date VARCHAR2, record VARCHAR2, decision VARCHAR2, home VARCHAR2)
| Decision of parent, and a Home of philadelphia, and a Record of 20 16 7 is on what date? | SELECT date FROM table_name_23 WHERE decision = "parent" AND home = "philadelphia" AND record = "20–16–7" | SELECT "date" FROM "table_name_23" WHERE "20–16–7" = "record" AND "decision" = "parent" AND "home" = "philadelphia" | 0.112305 |
CREATE TABLE store (Store_ID NUMBER, Store_Name CLOB, Type CLOB, Area_size FLOAT, Number_of_product_category FLOAT, Ranking NUMBER)
CREATE TABLE store_product (Store_ID NUMBER, Product_ID NUMBER)
CREATE TABLE store_district (Store_ID NUMBER, District_ID NUMBER)
CREATE TABLE district (District_ID NUMBER, District_name CLOB, Headquartered_City CLOB, City_Population FLOAT, City_Area FLOAT)
CREATE TABLE product (product_id NUMBER, product CLOB, dimensions CLOB, dpi FLOAT, pages_per_minute_color FLOAT, max_page_size CLOB, interface CLOB)
| What are the district names and city populations for all districts that between 200,000 and 2,000,000 residents? Show a bar graph, order x-axis in ascending order. | SELECT District_name, City_Population FROM district WHERE City_Population BETWEEN 200000 AND 2000000 ORDER BY District_name | SELECT "District_name", "City_Population" FROM "district" WHERE "City_Population" <= 2000000 AND "City_Population" >= 200000 ORDER BY "District_name" | 0.145508 |
CREATE TABLE table_68316 ("Language" CLOB, "Number" CLOB, "percentage ( % ) " CLOB, "males" CLOB, "females" CLOB)
| What's the Language with a percentage of 6.49? | SELECT "Language" FROM table_68316 WHERE "percentage (%)" = '6.49' | SELECT "Language" FROM "table_68316" WHERE "percentage (%)" = '6.49' | 0.066406 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
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)
| get the number of patients with lab test item id 51379 who were admitted in hospital before the year 2178. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2178" AND lab.itemid = "51379" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "51379" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2178" > "demographic"."admityear" | 0.189453 |
CREATE TABLE table_20722805_1 (obama_number NUMBER, obama_percentage VARCHAR2)
| How many votes did Obama have at 32.12% | SELECT MIN(obama_number) FROM table_20722805_1 WHERE obama_percentage = "32.12%" | SELECT MIN("obama_number") FROM "table_20722805_1" WHERE "32.12%" = "obama_percentage" | 0.083984 |
CREATE TABLE table_39238 ("Polling Firm" CLOB, "Date" CLOB, "Venstre ( V ) " CLOB, "Social Democrats ( A ) " CLOB, "Danish People's Party ( O ) " CLOB, "Socialist People's Party ( F ) " CLOB, "Conservative People's Party ( C ) " CLOB, "Social Liberal Party ( B ) " CLOB, "Liberal Alliance ( I ) " CLOB, "Red-Green Alliance ( \\u00d8 ) " CLOB, "Christian Democrats ( K ) " CLOB, "Government" CLOB, "Opposition" CLOB)
| Which Social Liberal Party has 4.5% of the Conservative People's Party? | SELECT "Social Liberal Party (B)" FROM table_39238 WHERE "Conservative People's Party (C)" = '4.5%' | SELECT "Social Liberal Party (B)" FROM "table_39238" WHERE "Conservative People's Party (C)" = '4.5%' | 0.098633 |
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_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 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 job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
| For those employees who did not have any job in the past, give me the comparison about the sum of manager_id over the hire_date bin hire_date by weekday by a bar chart. | SELECT HIRE_DATE, SUM(MANAGER_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) | SELECT "HIRE_DATE", SUM("MANAGER_ID") FROM "employees" WHERE NOT "EMPLOYEE_ID" IN (SELECT "EMPLOYEE_ID" FROM "job_history") | 0.120117 |
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId 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 ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
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 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 CloseReasonTypes (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 SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
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 Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name 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 ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId 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 Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
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 PostHistoryTypes (Id NUMBER, Name CLOB)
| comments begging for accepts under question. | SELECT c.Id FROM Comments AS c INNER JOIN Posts AS q ON q.Id = c.PostId AND q.PostTypeId = 1 AND LENGTH(c.Text) <= 75 AND (LOWER(c.Text) LIKE '%forget%accept%' OR LOWER(c.Text) LIKE '%please%accept%answer%') ORDER BY c.CreationDate DESC | SELECT "c"."Id" FROM "Comments" "c" JOIN "Posts" "q" ON "c"."PostId" = "q"."Id" AND "q"."PostTypeId" = 1 AND LENGTH("c"."Text") <= 75 AND (LOWER("c"."Text") LIKE '%forget%accept%' OR LOWER("c"."Text") LIKE '%please%accept%answer%') ORDER BY "c"."CreationDate" DESC | 0.257813 |
CREATE TABLE table_20953 ("Year" FLOAT, "Edmonton Hundred" FLOAT, "Elthorne Hundred" FLOAT, "Gore Hundred" FLOAT, "Isleworth Hundred" FLOAT, "Holborn Division" FLOAT, "Finsbury Division" FLOAT, "Kensington Division" FLOAT, "Tower Division" FLOAT, "Spelthorne Hundred" FLOAT, "Within the Walls" FLOAT, "Without the Walls" FLOAT, "Inns of Court and Chancery" FLOAT, "Westminster City and Liberty" FLOAT, "Total" FLOAT)
| What is the lowest overall year? | SELECT MIN("Year") FROM table_20953 | SELECT MIN("Year") FROM "table_20953" | 0.036133 |
CREATE TABLE Skills_Required_To_Fix (part_fault_id NUMBER, skill_id NUMBER)
CREATE TABLE Third_Party_Companies (company_id NUMBER, company_type VARCHAR2, company_name VARCHAR2, company_address VARCHAR2, other_company_details VARCHAR2)
CREATE TABLE Maintenance_Engineers (engineer_id NUMBER, company_id NUMBER, first_name VARCHAR2, last_name VARCHAR2, other_details VARCHAR2)
CREATE TABLE Parts (part_id NUMBER, part_name VARCHAR2, chargeable_yn VARCHAR2, chargeable_amount VARCHAR2, other_part_details VARCHAR2)
CREATE TABLE Engineer_Visits (engineer_visit_id NUMBER, contact_staff_id NUMBER, engineer_id NUMBER, fault_log_entry_id NUMBER, fault_status VARCHAR2, visit_start_datetime DATETIME, visit_end_datetime DATETIME, other_visit_details VARCHAR2)
CREATE TABLE Fault_Log (fault_log_entry_id NUMBER, asset_id NUMBER, recorded_by_staff_id NUMBER, fault_log_entry_datetime DATETIME, fault_description VARCHAR2, other_fault_details VARCHAR2)
CREATE TABLE Fault_Log_Parts (fault_log_entry_id NUMBER, part_fault_id NUMBER, fault_status VARCHAR2)
CREATE TABLE Part_Faults (part_fault_id NUMBER, part_id NUMBER, fault_short_name VARCHAR2, fault_description VARCHAR2, other_fault_details VARCHAR2)
CREATE TABLE Maintenance_Contracts (maintenance_contract_id NUMBER, maintenance_contract_company_id NUMBER, contract_start_date DATETIME, contract_end_date DATETIME, other_contract_details VARCHAR2)
CREATE TABLE Skills (skill_id NUMBER, skill_code VARCHAR2, skill_description VARCHAR2)
CREATE TABLE Assets (asset_id NUMBER, maintenance_contract_id NUMBER, supplier_company_id NUMBER, asset_details VARCHAR2, asset_make VARCHAR2, asset_model VARCHAR2, asset_acquired_date DATETIME, asset_disposed_date DATETIME, other_asset_details VARCHAR2)
CREATE TABLE Staff (staff_id NUMBER, staff_name VARCHAR2, gender VARCHAR2, other_staff_details VARCHAR2)
CREATE TABLE Asset_Parts (asset_id NUMBER, part_id NUMBER)
CREATE TABLE Engineer_Skills (engineer_id NUMBER, skill_id NUMBER)
| Give me a pie chart about the number of engineers for different skill description. | SELECT skill_description, COUNT(skill_description) FROM Maintenance_Engineers AS T1 JOIN Engineer_Skills AS T2 ON T1.engineer_id = T2.engineer_id JOIN Skills AS T3 ON T2.skill_id = T3.skill_id GROUP BY skill_description | SELECT "skill_description", COUNT("skill_description") FROM "Maintenance_Engineers" "T1" JOIN "Engineer_Skills" "T2" ON "T1"."engineer_id" = "T2"."engineer_id" JOIN "Skills" "T3" ON "T2"."skill_id" = "T3"."skill_id" GROUP BY "skill_description" | 0.238281 |
CREATE TABLE table_63184 ("City of license" CLOB, "Identifier" CLOB, "Frequency" CLOB, "Power" CLOB, "Class" CLOB, "RECNet" CLOB)
| What's the frequency when the identifier is cbf-fm-9? | SELECT "Frequency" FROM table_63184 WHERE "Identifier" = 'cbf-fm-9' | SELECT "Frequency" FROM "table_63184" WHERE "Identifier" = 'cbf-fm-9' | 0.067383 |
CREATE TABLE table_25357 ("Order" FLOAT, "Episode" CLOB, "Airdate" CLOB, "Rating" CLOB, "Share" FLOAT, "Rating/Share ( 18\\u201349 ) " CLOB, "Viewers ( millions ) " CLOB, "Rank ( night ) " FLOAT)
| Name the viewers for 2.1 rating | SELECT "Viewers (millions)" FROM table_25357 WHERE "Rating" = '2.1' | SELECT "Viewers (millions)" FROM "table_25357" WHERE "Rating" = '2.1' | 0.067383 |
CREATE TABLE table_44417 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| What score is the team of charlotte? | SELECT "Score" FROM table_44417 WHERE "Team" = 'charlotte' | SELECT "Score" FROM "table_44417" WHERE "Team" = 'charlotte' | 0.058594 |
CREATE TABLE table_name_39 (Id VARCHAR2)
| Which 2005 has a 2006 of 126,511? | SELECT 2005 FROM table_name_39 WHERE 2006 = "126,511" | SELECT 2005 FROM "table_name_39" WHERE "126,511" = 2006 | 0.053711 |
CREATE TABLE table_68612 ("Year" CLOB, "English title" CLOB, "Original title" CLOB, "Country" CLOB, "Director" CLOB)
| What is the original title of Madame Rosa? | SELECT "Original title" FROM table_68612 WHERE "English title" = 'madame rosa' | SELECT "Original title" FROM "table_68612" WHERE "English title" = 'madame rosa' | 0.078125 |
CREATE TABLE table_51953 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What is the highest number of people that attended a game at Moorabbin Oval? | SELECT MAX("Crowd") FROM table_51953 WHERE "Venue" = 'moorabbin oval' | SELECT MAX("Crowd") FROM "table_51953" WHERE "Venue" = 'moorabbin oval' | 0.069336 |
CREATE TABLE table_77077 ("Player" CLOB, "Nationality" CLOB, "Jersey Number ( s ) " FLOAT, "Position" CLOB, "Years" CLOB, "From" CLOB)
| What years did the player with the jersey number 33 and played position pf play? | SELECT "Years" FROM table_77077 WHERE "Jersey Number(s)" = '33' AND "Position" = 'pf' | SELECT "Years" FROM "table_77077" WHERE "Jersey Number(s)" = '33' AND "Position" = 'pf' | 0.084961 |
CREATE TABLE table_name_67 (bronze VARCHAR2, silver VARCHAR2, nation VARCHAR2, total VARCHAR2, rank VARCHAR2)
| How many bronze numbers had a total of more than 4 when the rank is less than four, germany is involved, and there's less than 5 silver? | SELECT COUNT(bronze) FROM table_name_67 WHERE total > 4 AND rank < 4 AND nation = "germany" AND silver < 5 | SELECT COUNT("bronze") FROM "table_name_67" WHERE "germany" = "nation" AND "rank" < 4 AND "silver" < 5 AND "total" > 4 | 0.115234 |
CREATE TABLE table_61747 ("Champions" CLOB, "Runners-up" CLOB, "Third-place" CLOB, "Fourth-place" CLOB, "Semi-finalists" CLOB)
| What champions have 1 (2009) as the semi-finalists? | SELECT "Champions" FROM table_61747 WHERE "Semi-finalists" = '1 (2009)' | SELECT "Champions" FROM "table_61747" WHERE "Semi-finalists" = '1 (2009)' | 0.071289 |
CREATE TABLE table_name_74 (home_team VARCHAR2, venue VARCHAR2)
| When the venue was punt road oval, what was the Home teams score? | SELECT home_team AS score FROM table_name_74 WHERE venue = "punt road oval" | SELECT "home_team" AS "score" FROM "table_name_74" WHERE "punt road oval" = "venue" | 0.081055 |
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID 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 countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
| For those employees who do not work in departments with managers that have ids between 100 and 200, find job_id and commission_pct , and visualize them by a bar chart, rank by the names in asc. | SELECT JOB_ID, COMMISSION_PCT FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY JOB_ID | SELECT "JOB_ID", "COMMISSION_PCT" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "JOB_ID" | 0.186523 |
CREATE TABLE journal (homepage VARCHAR2, jid NUMBER, name VARCHAR2)
CREATE TABLE domain_author (aid NUMBER, did NUMBER)
CREATE TABLE domain_journal (did NUMBER, jid NUMBER)
CREATE TABLE publication_keyword (kid NUMBER, pid NUMBER)
CREATE TABLE author (aid NUMBER, homepage VARCHAR2, name VARCHAR2, oid NUMBER)
CREATE TABLE writes (aid NUMBER, pid NUMBER)
CREATE TABLE cite (cited NUMBER, citing NUMBER)
CREATE TABLE domain_conference (cid NUMBER, did NUMBER)
CREATE TABLE conference (cid NUMBER, homepage VARCHAR2, name VARCHAR2)
CREATE TABLE publication (abstract VARCHAR2, cid NUMBER, citation_num NUMBER, jid NUMBER, pid NUMBER, reference_num NUMBER, title VARCHAR2, year NUMBER)
CREATE TABLE organization (continent VARCHAR2, homepage VARCHAR2, name VARCHAR2, oid NUMBER)
CREATE TABLE domain_publication (did NUMBER, pid NUMBER)
CREATE TABLE domain (did NUMBER, name VARCHAR2)
CREATE TABLE keyword (keyword VARCHAR2, kid NUMBER)
CREATE TABLE domain_keyword (did NUMBER, kid NUMBER)
| return me the number of papers by ' H. V. Jagadish ' after 2000 . | SELECT COUNT(DISTINCT (publication.title)) FROM author, publication, writes WHERE author.name = 'H. V. Jagadish' AND publication.year > 2000 AND writes.aid = author.aid AND writes.pid = publication.pid | SELECT COUNT(DISTINCT "publication"."title") FROM "author" JOIN "writes" ON "author"."aid" = "writes"."aid" JOIN "publication" ON "publication"."pid" = "writes"."pid" AND "publication"."year" > 2000 WHERE "author"."name" = 'H. V. Jagadish' | 0.233398 |
CREATE TABLE table_name_8 (bosniaks NUMBER, census_year NUMBER)
| Tell me the highest bosniaks for year more than 2002 | SELECT MAX(bosniaks) FROM table_name_8 WHERE census_year > 2002 | SELECT MAX("bosniaks") FROM "table_name_8" WHERE "census_year" > 2002 | 0.067383 |
CREATE TABLE table_29572583_19 (seed VARCHAR2, points VARCHAR2)
| How many seed entries are there when points are 2175? | SELECT COUNT(seed) FROM table_29572583_19 WHERE points = 2175 | SELECT COUNT("seed") FROM "table_29572583_19" WHERE "points" = 2175 | 0.06543 |
CREATE TABLE table_43074 ("Tournament" CLOB, "2007" CLOB, "2008" CLOB, "2009" CLOB, "2010" CLOB, "2011" CLOB, "2012" CLOB)
| What is the Tournament with a 3r 2011 and A 2010? | SELECT "Tournament" FROM table_43074 WHERE "2011" = '3r' AND "2010" = 'a' | SELECT "Tournament" FROM "table_43074" WHERE "2010" = 'a' AND "2011" = '3r' | 0.073242 |
CREATE TABLE table_name_74 (goals_scored VARCHAR2, points NUMBER)
| What is the total number of Goals scored that has more than 45 Points? | SELECT COUNT(goals_scored) FROM table_name_74 WHERE points > 45 | SELECT COUNT("goals_scored") FROM "table_name_74" WHERE "points" > 45 | 0.067383 |
CREATE TABLE table_204_19 (id NUMBER, "university" CLOB, "winner" NUMBER, "runner-up" NUMBER, "years won" CLOB, "years runner-up" CLOB)
| who won the last championship recorded on this table ? | SELECT "university" FROM table_204_19 ORDER BY "years won" DESC LIMIT 1 | SELECT "university" FROM "table_204_19" ORDER BY "years won" DESC FETCH FIRST 1 ROWS ONLY | 0.086914 |
CREATE TABLE table_3679 ("Round" FLOAT, "Circuit" CLOB, "Series" CLOB, "Pole Position" CLOB, "Fastest Lap" CLOB, "Winning Driver" CLOB, "Winning Team" CLOB)
| Who had the fastest lap when the winning driver was kristian ghedina? | SELECT "Fastest Lap" FROM table_3679 WHERE "Winning Driver" = 'Kristian Ghedina' | SELECT "Fastest Lap" FROM "table_3679" WHERE "Winning Driver" = 'Kristian Ghedina' | 0.080078 |
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