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CREATE TABLE table_204_190 (id NUMBER, "rank" NUMBER, "city" CLOB, "county" CLOB, "state" CLOB, "percentage" CLOB)
| which city is ranked first on the list ? | SELECT "city" FROM table_204_190 ORDER BY "rank" LIMIT 1 | SELECT "city" FROM "table_204_190" ORDER BY "rank" FETCH FIRST 1 ROWS ONLY | 0.072266 |
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
| what is the monthly minimum amount of rbc patient 002-41391 has since 2 years ago? | SELECT MIN(lab.labresult) FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '002-41391')) AND lab.labname = 'rbc' AND DATETIME(lab.labresulttime) >= DATETIME(CURRENT_TIME(), '-2 year') GROUP BY STRFTIME('%y-%m', lab.labresulttime) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '002-41391' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT MIN("lab"."labresult") FROM "lab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'rbc' AND DATETIME("lab"."labresulttime") >= DATETIME(CURRENT_TIME(), '-2 year') AND NOT "_u_1"."" IS NULL GROUP BY STRFTIME('%y-%m', "lab"."labresulttime") | 0.625977 |
CREATE TABLE table_69109 ("Match" CLOB, "Date" CLOB, "Location" CLOB, "Lineup" CLOB, "Result" CLOB, "Competition" CLOB)
| What is the result of the London 2012 Women's Olympic Football Tournament? | SELECT "Result" FROM table_69109 WHERE "Location" = 'london 2012 women''s olympic football tournament' | SELECT "Result" FROM "table_69109" WHERE "Location" = 'london 2012 women''s olympic football tournament' | 0.101563 |
CREATE TABLE table_name_75 (away_team VARCHAR2, venue VARCHAR2)
| What away team played at Western Oval? | SELECT away_team FROM table_name_75 WHERE venue = "western oval" | SELECT "away_team" FROM "table_name_75" WHERE "venue" = "western oval" | 0.068359 |
CREATE TABLE table_name_86 (opponent VARCHAR2, date VARCHAR2)
| Who was the opponent on November 26, 1989? | SELECT opponent FROM table_name_86 WHERE date = "november 26, 1989" | SELECT "opponent" FROM "table_name_86" WHERE "date" = "november 26, 1989" | 0.071289 |
CREATE TABLE table_name_81 (total_as NUMBER, venue VARCHAR2, team VARCHAR2, opponent VARCHAR2)
| What is the sum of the total As of team bucheon sk, who had the chunnam dragons as their opponent at the bucheon venue? | SELECT SUM(total_as) FROM table_name_81 WHERE team = "bucheon sk" AND opponent = "chunnam dragons" AND venue = "bucheon" | SELECT SUM("total_as") FROM "table_name_81" WHERE "bucheon sk" = "team" AND "bucheon" = "venue" AND "chunnam dragons" = "opponent" | 0.126953 |
CREATE TABLE table_15724 ("Name" CLOB, "League" FLOAT, "FA Cup" FLOAT, "League Cup" FLOAT, "Other" FLOAT, "Total" FLOAT)
| Name the least other for league cup less than 0, FA cup more than 0 and league of 2 with total less than 14 | SELECT MIN("Other") FROM table_15724 WHERE "Total" < '14' AND "League" = '2' AND "FA Cup" > '0' AND "League Cup" < '0' | SELECT MIN("Other") FROM "table_15724" WHERE "FA Cup" > '0' AND "League Cup" < '0' AND "League" = '2' AND "Total" < '14' | 0.117188 |
CREATE TABLE table_2527063_3 (rank VARCHAR2, district VARCHAR2)
| Name the total number of rank for east midnapore | SELECT COUNT(rank) FROM table_2527063_3 WHERE district = "East Midnapore" | SELECT COUNT("rank") FROM "table_2527063_3" WHERE "East Midnapore" = "district" | 0.077148 |
CREATE TABLE company (Company_ID NUMBER, Rank NUMBER, Company CLOB, Headquarters CLOB, Main_Industry CLOB, Sales_billion FLOAT, Profits_billion FLOAT, Assets_billion FLOAT, Market_Value FLOAT)
CREATE TABLE station_company (Station_ID NUMBER, Company_ID NUMBER, Rank_of_the_Year NUMBER)
CREATE TABLE gas_station (Station_ID NUMBER, Open_Year NUMBER, Location CLOB, Manager_Name CLOB, Vice_Manager_Name CLOB, Representative_Name CLOB)
| Show the relationship between the rank and market values of the companies in the banking industry with a scatter chart. | SELECT Rank, Market_Value FROM company WHERE Main_Industry = 'Banking' | SELECT "Rank", "Market_Value" FROM "company" WHERE "Main_Industry" = 'Banking' | 0.076172 |
CREATE TABLE table_name_95 (pick VARCHAR2, nfl_club VARCHAR2)
| What is the pick of the NFL club buffalo bills? | SELECT pick FROM table_name_95 WHERE nfl_club = "buffalo bills" | SELECT "pick" FROM "table_name_95" WHERE "buffalo bills" = "nfl_club" | 0.067383 |
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
| Give me a bar chart for mean team id of each all home, sort from low to high by the bars please. | SELECT All_Home, AVG(Team_ID) FROM basketball_match GROUP BY All_Home ORDER BY All_Home | SELECT "All_Home", AVG("Team_ID") FROM "basketball_match" GROUP BY "All_Home" ORDER BY "All_Home" | 0.094727 |
CREATE TABLE table_61731 ("Result" CLOB, "Record" CLOB, "Opponent" CLOB, "Method" CLOB, "Location" CLOB)
| Which location has a method of decision and Nikos Tsoukalas for an opponent? | SELECT "Location" FROM table_61731 WHERE "Method" = 'decision' AND "Opponent" = 'nikos tsoukalas' | SELECT "Location" FROM "table_61731" WHERE "Method" = 'decision' AND "Opponent" = 'nikos tsoukalas' | 0.09668 |
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE 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 diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime 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 medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
| how many hours has it elapsed since patient 027-165214's last diagnosis of acute renal failure - due to obstruction during this hospital visit? | SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', diagnosis.diagnosistime)) FROM diagnosis WHERE diagnosis.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '027-165214' AND patient.hospitaldischargetime IS NULL)) AND diagnosis.diagnosisname = 'acute renal failure - due to obstruction' ORDER BY diagnosis.diagnosistime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."hospitaldischargetime" IS NULL AND "patient"."uniquepid" = '027-165214' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "diagnosis"."diagnosistime")) FROM "diagnosis" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "diagnosis"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 'acute renal failure - due to obstruction' AND NOT "_u_1"."" IS NULL ORDER BY "diagnosis"."diagnosistime" DESC FETCH FIRST 1 ROWS ONLY | 0.733398 |
CREATE TABLE table_2897457_7 (nationality VARCHAR2, player VARCHAR2)
| How many nationalities does Alex Nikolic come from? | SELECT COUNT(nationality) FROM table_2897457_7 WHERE player = "Alex Nikolic" | SELECT COUNT("nationality") FROM "table_2897457_7" WHERE "Alex Nikolic" = "player" | 0.080078 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is diagnoses long title of diagnoses icd9 code 76403? | SELECT diagnoses.long_title FROM diagnoses WHERE diagnoses.icd9_code = "76403" | SELECT "diagnoses"."long_title" FROM "diagnoses" WHERE "76403" = "diagnoses"."icd9_code" | 0.085938 |
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE 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)
| until 2102 how many patients have been diagnosed with hypercoagulable state within 2 months after having received ct scan - abdomen? | SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, treatment.treatmenttime FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'ct scan - abdomen' AND STRFTIME('%y', treatment.treatmenttime) <= '2102') AS t1 JOIN (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'hypercoagulable state' AND STRFTIME('%y', diagnosis.diagnosistime) <= '2102') AS t2 WHERE t1.treatmenttime < t2.diagnosistime AND DATETIME(t2.diagnosistime) BETWEEN DATETIME(t1.treatmenttime) AND DATETIME(t1.treatmenttime, '+2 month') | SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "treatment" JOIN "patient" ON "patient"."patientunitstayid" = "treatment"."patientunitstayid" JOIN "diagnosis" ON "diagnosis"."diagnosisname" = 'hypercoagulable state' AND "diagnosis"."diagnosistime" > "treatment"."treatmenttime" AND DATETIME("diagnosis"."diagnosistime") <= DATETIME("treatment"."treatmenttime", '+2 month') AND DATETIME("diagnosis"."diagnosistime") >= DATETIME("treatment"."treatmenttime") AND STRFTIME('%y', "diagnosis"."diagnosistime") <= '2102' JOIN "patient" "patient_2" ON "diagnosis"."patientunitstayid" = "patient_2"."patientunitstayid" WHERE "treatment"."treatmentname" = 'ct scan - abdomen' AND STRFTIME('%y', "treatment"."treatmenttime") <= '2102' | 0.708008 |
CREATE TABLE table_203_266 (id NUMBER, "group" CLOB, "members" NUMBER, "caucusing" NUMBER, "total" NUMBER)
| what is the total amount of members in the socialist group not including caucusing members ? | SELECT "members" FROM table_203_266 WHERE "group" = 'socialist group' | SELECT "members" FROM "table_203_266" WHERE "group" = 'socialist group' | 0.069336 |
CREATE TABLE table_203_703 (id NUMBER, "year" NUMBER, "site" CLOB, "winning team" CLOB, "losing team" CLOB, "series" CLOB)
| what is the total number of games played ? | SELECT COUNT(*) FROM table_203_703 | SELECT COUNT(*) FROM "table_203_703" | 0.035156 |
CREATE TABLE student (stuid NUMBER, lname CLOB, fname CLOB, age NUMBER, sex CLOB, major NUMBER, advisor NUMBER, city_code CLOB)
CREATE TABLE member_of_club (stuid NUMBER, clubid NUMBER, position CLOB)
CREATE TABLE club (clubid NUMBER, clubname CLOB, clubdesc CLOB, clublocation CLOB)
| Count the number of members in club 'Bootup Baltimore' whose age is above 18. | SELECT COUNT(*) FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t1.clubname = "Bootup Baltimore" AND t3.age > 18 | SELECT COUNT(*) FROM "club" "t1" JOIN "member_of_club" "t2" ON "t1"."clubid" = "t2"."clubid" JOIN "student" "t3" ON "t2"."stuid" = "t3"."stuid" AND "t3"."age" > 18 WHERE "Bootup Baltimore" = "t1"."clubname" | 0.201172 |
CREATE TABLE table_27279 ("Episode #" FLOAT, "Production Count" FLOAT, "Original Airdate" CLOB, "Prod. Code" CLOB, "Title" CLOB, "Viewing Figures Millions" CLOB)
| How many episodes were numbered 5? | SELECT COUNT("Production Count") FROM table_27279 WHERE "Episode #" = '5' | SELECT COUNT("Production Count") FROM "table_27279" WHERE "Episode #" = '5' | 0.073242 |
CREATE TABLE table_name_60 (first_appearance VARCHAR2, year VARCHAR2, name VARCHAR2)
| What first appeared in 1966 in the comic X-2-Y? | SELECT first_appearance FROM table_name_60 WHERE year = 1966 AND name = "x-2-y" | SELECT "first_appearance" FROM "table_name_60" WHERE "name" = "x-2-y" AND "year" = 1966 | 0.084961 |
CREATE TABLE table_204_669 (id NUMBER, "rank" NUMBER, "athlete" CLOB, "nationality" CLOB, "time" CLOB)
| which athlete from kenya participated but came in third place ? | SELECT "athlete" FROM table_204_669 WHERE id = 3 | SELECT "athlete" FROM "table_204_669" WHERE "id" = 3 | 0.050781 |
CREATE TABLE Person (name VARCHAR2, age NUMBER, city CLOB, gender CLOB, job CLOB)
CREATE TABLE PersonFriend (name VARCHAR2, friend VARCHAR2, year NUMBER)
| Draw a bar chart for what is the average age for each gender?, and I want to show by the bars in desc. | SELECT gender, AVG(age) FROM Person GROUP BY gender ORDER BY gender DESC | SELECT "gender", AVG("age") FROM "Person" GROUP BY "gender" ORDER BY "gender" DESC | 0.080078 |
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value 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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
| what was the number of times patient 28253 had a bicarbonate test in 2102? | SELECT COUNT(*) FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'bicarbonate') AND labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 28253) AND STRFTIME('%y', labevents.charttime) = '2102' | WITH "_u_0" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'bicarbonate' GROUP BY "itemid"), "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 28253 GROUP BY "hadm_id") SELECT COUNT(*) FROM "labevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "labevents"."itemid" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "labevents"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL AND STRFTIME('%y', "labevents"."charttime") = '2102' | 0.493164 |
CREATE TABLE table_12504 ("Player" CLOB, "Country" CLOB, "Year ( s ) won" CLOB, "Total" FLOAT, "To par" CLOB, "Finish" CLOB)
| When the finish is t27 what is the year (s) won? | SELECT "Year(s) won" FROM table_12504 WHERE "Finish" = 't27' | SELECT "Year(s) won" FROM "table_12504" WHERE "Finish" = 't27' | 0.060547 |
CREATE TABLE table_68467 ("Class" CLOB, "Type" CLOB, "Fleet numbers" CLOB, "Quantity made" FLOAT, "Manufacturer" CLOB, "Date made" FLOAT, "Date withdrawn" CLOB)
| Which locomotive class had 5 items made? | SELECT "Class" FROM table_68467 WHERE "Quantity made" = '5' | SELECT "Class" FROM "table_68467" WHERE "Quantity made" = '5' | 0.05957 |
CREATE TABLE table_name_34 (season VARCHAR2, goals VARCHAR2, apps VARCHAR2)
| What Season has Goals greater than 0 and less than 33 Apps? | SELECT season FROM table_name_34 WHERE goals > 0 AND apps < 33 | SELECT "season" FROM "table_name_34" WHERE "apps" < 33 AND "goals" > 0 | 0.068359 |
CREATE TABLE table_name_34 (points_against VARCHAR2, points_difference VARCHAR2)
| What are the points against with a points difference? | SELECT points_against FROM table_name_34 WHERE points_difference = "points difference" | SELECT "points_against" FROM "table_name_34" WHERE "points difference" = "points_difference" | 0.089844 |
CREATE TABLE table_49392 ("Series #" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB)
| What series number was directed by milan cheylov and written by will dixon? | SELECT AVG("Series #") FROM table_49392 WHERE "Directed by" = 'milan cheylov' AND "Written by" = 'will dixon' | SELECT AVG("Series #") FROM "table_49392" WHERE "Directed by" = 'milan cheylov' AND "Written by" = 'will dixon' | 0.108398 |
CREATE TABLE table_name_33 (team_2 VARCHAR2)
| What is the second leg that Valencia was on? | SELECT 2 AS nd_leg FROM table_name_33 WHERE team_2 = "valencia" | SELECT 2 AS "nd_leg" FROM "table_name_33" WHERE "team_2" = "valencia" | 0.067383 |
CREATE TABLE table_40573 ("Name" CLOB, "Rank" FLOAT, "Out of" FLOAT, "Source" CLOB, "Year" CLOB)
| Which Name had the Rank, 15? | SELECT "Name" FROM table_40573 WHERE "Rank" = '15' | SELECT "Name" FROM "table_40573" WHERE "Rank" = '15' | 0.050781 |
CREATE TABLE table_name_77 (country VARCHAR2, medal VARCHAR2, event VARCHAR2)
| What country has a silver medal in the boxing, heavyweight event? | SELECT country FROM table_name_77 WHERE medal = "silver" AND event = "boxing, heavyweight" | SELECT "country" FROM "table_name_77" WHERE "boxing, heavyweight" = "event" AND "medal" = "silver" | 0.095703 |
CREATE TABLE table_38841 ("Name" CLOB, "Type" CLOB, "Entered service" CLOB, "Water depth" CLOB, "Location" CLOB)
| Which is located in Nigeria? | SELECT "Name" FROM table_38841 WHERE "Location" = 'nigeria' | SELECT "Name" FROM "table_38841" WHERE "Location" = 'nigeria' | 0.05957 |
CREATE TABLE table_name_12 (pat_robertson VARCHAR2, bob_dole VARCHAR2, george_hw_bush VARCHAR2)
| When Bob Dole had 26%, and George H.W. Bush had 47%, what did Pat Robertson have? | SELECT pat_robertson FROM table_name_12 WHERE bob_dole = "26%" AND george_hw_bush = "47%" | SELECT "pat_robertson" FROM "table_name_12" WHERE "26%" = "bob_dole" AND "47%" = "george_hw_bush" | 0.094727 |
CREATE TABLE table_11995 ("Race" CLOB, "Circuit" CLOB, "Date" CLOB, "Pole position" CLOB, "Fastest lap" CLOB, "Winning driver" CLOB, "Constructor" CLOB, "Tyre" CLOB, "Report" CLOB)
| Name the date for the italian grand prix | SELECT "Date" FROM table_11995 WHERE "Race" = 'italian grand prix' | SELECT "Date" FROM "table_11995" WHERE "Race" = 'italian grand prix' | 0.066406 |
CREATE TABLE table_name_81 (date VARCHAR2, winning_driver VARCHAR2, fastest_lap VARCHAR2, race VARCHAR2)
| What is Date, when Fastest Lap is James Winslow, when Race is 1, and when Winning Driver is Leanne Tander? | SELECT date FROM table_name_81 WHERE fastest_lap = "james winslow" AND race = 1 AND winning_driver = "leanne tander" | SELECT "date" FROM "table_name_81" WHERE "fastest_lap" = "james winslow" AND "leanne tander" = "winning_driver" AND "race" = 1 | 0.123047 |
CREATE TABLE table_67401 ("Rank" CLOB, "Bowling" CLOB, "Player" CLOB, "Venue" CLOB, "Date" CLOB)
| What ranking is james franklin? | SELECT "Rank" FROM table_67401 WHERE "Player" = 'james franklin' | SELECT "Rank" FROM "table_67401" WHERE "Player" = 'james franklin' | 0.064453 |
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId 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 FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTaskStates (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 ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment 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 PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name 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 Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name 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 SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
| How many questions exist for a tag?. | SELECT COUNT(p.Id) FROM Posts AS p INNER JOIN PostTags AS pt ON pt.TagId = @TagId WHERE pt.PostId = p.Id AND p.PostTypeId = 1 | SELECT COUNT("p"."Id") FROM "Posts" "p" JOIN "PostTags" "pt" ON "p"."Id" = "pt"."PostId" AND "pt"."TagId" = @TagId WHERE "p"."PostTypeId" = 1 | 0.137695 |
CREATE TABLE table_name_98 (lead VARCHAR2, third VARCHAR2)
| What lead has the third David Nedohin? | SELECT lead FROM table_name_98 WHERE third = "david nedohin" | SELECT "lead" FROM "table_name_98" WHERE "david nedohin" = "third" | 0.064453 |
CREATE TABLE table_name_7 (year NUMBER, winning_constructor VARCHAR2)
| What is the latest year that has ferrari 166 fl as the winning constructor? | SELECT MAX(year) FROM table_name_7 WHERE winning_constructor = "ferrari 166 fl" | SELECT MAX("year") FROM "table_name_7" WHERE "ferrari 166 fl" = "winning_constructor" | 0.083008 |
CREATE TABLE table_name_1 (location VARCHAR2, time VARCHAR2)
| What location had 1:59:12 in time? | SELECT location FROM table_name_1 WHERE time = "1:59:12" | SELECT "location" FROM "table_name_1" WHERE "1:59:12" = "time" | 0.060547 |
CREATE TABLE table_name_17 (result VARCHAR2, round VARCHAR2)
| What is the result when the round shows 34? | SELECT result FROM table_name_17 WHERE round = 34 | SELECT "result" FROM "table_name_17" WHERE "round" = 34 | 0.053711 |
CREATE TABLE employees (first_name VARCHAR2, last_name VARCHAR2, hire_date VARCHAR2, department_id VARCHAR2)
| display the employee name ( first name and last name ) and hire date for all employees in the same department as Clara excluding Clara. | SELECT first_name, last_name, hire_date FROM employees WHERE department_id = (SELECT department_id FROM employees WHERE first_name = "Clara") AND first_name <> "Clara" | SELECT "first_name", "last_name", "hire_date" FROM "employees" WHERE "Clara" <> "first_name" AND "department_id" = (SELECT "department_id" FROM "employees" WHERE "Clara" = "first_name") | 0.180664 |
CREATE TABLE table_name_97 (f_laps VARCHAR2, position VARCHAR2)
| What is the F/Laps value associated with a position of 3rd? | SELECT f_laps FROM table_name_97 WHERE position = "3rd" | SELECT "f_laps" FROM "table_name_97" WHERE "3rd" = "position" | 0.05957 |
CREATE TABLE Ref_Document_Status (document_status_code VARCHAR2)
| What document status codes do we have? | SELECT document_status_code FROM Ref_Document_Status | SELECT "document_status_code" FROM "Ref_Document_Status" | 0.054688 |
CREATE TABLE table_80369 ("Date" CLOB, "Round" CLOB, "Opponent" CLOB, "Venue" CLOB, "Result" CLOB, "Attendance" FLOAT, "Scorers" CLOB)
| What venue was on 27 May 2000? | SELECT "Venue" FROM table_80369 WHERE "Date" = '27 may 2000' | SELECT "Venue" FROM "table_80369" WHERE "Date" = '27 may 2000' | 0.060547 |
CREATE TABLE table_76669 ("Film" CLOB, "Opening" CLOB, "Budget" CLOB, "Domestic" CLOB, "Worldwide" CLOB)
| WHAT IS THE WORLDWIDE BOX OFFICE FOR BRAVE? | SELECT "Worldwide" FROM table_76669 WHERE "Film" = 'brave' | SELECT "Worldwide" FROM "table_76669" WHERE "Film" = 'brave' | 0.058594 |
CREATE TABLE table_27700530_15 (location_attendance VARCHAR2, game VARCHAR2)
| What was the location and attendance for game 2? | SELECT location_attendance FROM table_27700530_15 WHERE game = 2 | SELECT "location_attendance" FROM "table_27700530_15" WHERE "game" = 2 | 0.068359 |
CREATE TABLE accounts (account_id NUMBER, customer_id NUMBER, account_name CLOB, other_account_details CLOB)
CREATE TABLE customers (customer_id NUMBER, customer_first_name CLOB, customer_last_name CLOB, customer_address CLOB, customer_phone CLOB, customer_email CLOB, other_customer_details CLOB)
CREATE TABLE financial_transactions (transaction_id NUMBER, previous_transaction_id NUMBER, account_id NUMBER, card_id NUMBER, transaction_type CLOB, transaction_date TIME, transaction_amount NUMBER, transaction_comment CLOB, other_transaction_details CLOB)
CREATE TABLE customers_cards (card_id NUMBER, customer_id NUMBER, card_type_code CLOB, card_number CLOB, date_valid_from TIME, date_valid_to TIME, other_card_details CLOB)
| How many credit cards does customer Blanche Huels have? | SELECT COUNT(*) FROM customers_cards AS T1 JOIN customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.customer_first_name = "Blanche" AND T2.customer_last_name = "Huels" AND T1.card_type_code = "Credit" | SELECT COUNT(*) FROM "customers_cards" "T1" JOIN "customers" "T2" ON "Blanche" = "T2"."customer_first_name" AND "Huels" = "T2"."customer_last_name" AND "T1"."customer_id" = "T2"."customer_id" WHERE "Credit" = "T1"."card_type_code" | 0.224609 |
CREATE TABLE station (Station_ID NUMBER, Name CLOB, Annual_entry_exit FLOAT, Annual_interchanges FLOAT, Total_Passengers FLOAT, Location CLOB, Main_Services CLOB, Number_of_Platforms NUMBER)
CREATE TABLE train (Train_ID NUMBER, Name CLOB, Time CLOB, Service CLOB)
CREATE TABLE train_station (Train_ID NUMBER, Station_ID NUMBER)
| Give me a pie about the proportion of each location's total number of passengers. | SELECT Location, SUM(Total_Passengers) FROM station GROUP BY Location | SELECT "Location", SUM("Total_Passengers") FROM "station" GROUP BY "Location" | 0.075195 |
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE 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 d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE 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 d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE 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 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)
| what were the top five most common drugs that followed in the same hospital encounter for the patients who were given left heart cardiac cath since 4 years ago? | SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, procedures_icd.charttime, admissions.hadm_id FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'left heart cardiac cath') AND DATETIME(procedures_icd.charttime) >= DATETIME(CURRENT_TIME(), '-4 year')) AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate, admissions.hadm_id FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE DATETIME(prescriptions.startdate) >= DATETIME(CURRENT_TIME(), '-4 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.startdate AND t1.hadm_id = t2.hadm_id GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 5 | WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate", "admissions"."hadm_id" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" WHERE DATETIME("prescriptions"."startdate") >= DATETIME(CURRENT_TIME(), '-4 year')), "t3" AS (SELECT "t2"."drug", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'left heart cardiac cath' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" JOIN "t2" "t2" ON "admissions"."hadm_id" = "t2"."hadm_id" AND "admissions"."subject_id" = "t2"."subject_id" AND "procedures_icd"."charttime" < "t2"."startdate" WHERE DATETIME("procedures_icd"."charttime") >= DATETIME(CURRENT_TIME(), '-4 year') GROUP BY "t2"."drug") SELECT "t3"."drug" FROM "t3" "t3" WHERE "t3"."c1" <= 5 | 0.928711 |
CREATE TABLE Playlist (PlaylistId NUMBER, Name VARCHAR2)
CREATE TABLE Album (AlbumId NUMBER, Title VARCHAR2, ArtistId NUMBER)
CREATE TABLE Track (TrackId NUMBER, Name VARCHAR2, AlbumId NUMBER, MediaTypeId NUMBER, GenreId NUMBER, Composer VARCHAR2, Milliseconds NUMBER, Bytes NUMBER, UnitPrice NUMBER)
CREATE TABLE InvoiceLine (InvoiceLineId NUMBER, InvoiceId NUMBER, TrackId NUMBER, UnitPrice NUMBER, Quantity NUMBER)
CREATE TABLE Employee (EmployeeId NUMBER, LastName VARCHAR2, FirstName VARCHAR2, Title VARCHAR2, ReportsTo NUMBER, BirthDate DATETIME, HireDate DATETIME, Address VARCHAR2, City VARCHAR2, State VARCHAR2, Country VARCHAR2, PostalCode VARCHAR2, Phone VARCHAR2, Fax VARCHAR2, Email VARCHAR2)
CREATE TABLE PlaylistTrack (PlaylistId NUMBER, TrackId NUMBER)
CREATE TABLE Genre (GenreId NUMBER, Name VARCHAR2)
CREATE TABLE MediaType (MediaTypeId NUMBER, Name VARCHAR2)
CREATE TABLE Invoice (InvoiceId NUMBER, CustomerId NUMBER, InvoiceDate DATETIME, BillingAddress VARCHAR2, BillingCity VARCHAR2, BillingState VARCHAR2, BillingCountry VARCHAR2, BillingPostalCode VARCHAR2, Total NUMBER)
CREATE TABLE Artist (ArtistId NUMBER, Name VARCHAR2)
CREATE TABLE Customer (CustomerId NUMBER, FirstName VARCHAR2, LastName VARCHAR2, Company VARCHAR2, Address VARCHAR2, City VARCHAR2, State VARCHAR2, Country VARCHAR2, PostalCode VARCHAR2, Phone VARCHAR2, Fax VARCHAR2, Email VARCHAR2, SupportRepId NUMBER)
| List the number of the phone numbers of all employees, and show Y from low to high order please. | SELECT Phone, COUNT(Phone) FROM Employee GROUP BY Phone ORDER BY COUNT(Phone) | SELECT "Phone", COUNT("Phone") FROM "Employee" GROUP BY "Phone" ORDER BY COUNT("Phone") | 0.084961 |
CREATE TABLE genre (g_name CLOB, rating CLOB, most_popular_in CLOB)
CREATE TABLE song (song_name CLOB, artist_name CLOB, country CLOB, f_id NUMBER, genre_is CLOB, rating NUMBER, languages CLOB, releasedate TIME, resolution NUMBER)
CREATE TABLE artist (artist_name CLOB, country CLOB, gender CLOB, preferred_genre CLOB)
CREATE TABLE files (f_id NUMBER, artist_name CLOB, file_size CLOB, duration CLOB, formats CLOB)
| What are the names of the artists who sang the shortest song? | SELECT T1.artist_name FROM song AS T1 JOIN files AS T2 ON T1.f_id = T2.f_id ORDER BY T2.duration LIMIT 1 | SELECT "T1"."artist_name" FROM "song" "T1" JOIN "files" "T2" ON "T1"."f_id" = "T2"."f_id" ORDER BY "T2"."duration" FETCH FIRST 1 ROWS ONLY | 0.134766 |
CREATE TABLE table_77771 ("Date" CLOB, "Team 1" CLOB, "Team 2" CLOB, "Winner" CLOB, "Delta" CLOB, "Score" CLOB)
| Who is the Winner on June 2, 2007? | SELECT "Winner" FROM table_77771 WHERE "Date" = 'june 2, 2007' | SELECT "Winner" FROM "table_77771" WHERE "Date" = 'june 2, 2007' | 0.0625 |
CREATE TABLE table_name_11 (election VARCHAR2)
| What is 2nd Party, when Election is '1885'? | SELECT 2 AS nd_party FROM table_name_11 WHERE election = "1885" | SELECT 2 AS "nd_party" FROM "table_name_11" WHERE "1885" = "election" | 0.067383 |
CREATE TABLE table_name_84 (score VARCHAR2, opponent VARCHAR2, record VARCHAR2)
| Which Score has an Opponent of @ la lakers, and a Record of 8-6? | SELECT score FROM table_name_84 WHERE opponent = "@ la lakers" AND record = "8-6" | SELECT "score" FROM "table_name_84" WHERE "8-6" = "record" AND "@ la lakers" = "opponent" | 0.086914 |
CREATE TABLE table_63987 ("Team #1" CLOB, "Agg." CLOB, "Team #2" CLOB, "1st leg" CLOB, "2nd leg" CLOB)
| Who was the team 2 in the game with a team 1 of Liege Basket? | SELECT "Team #2" FROM table_63987 WHERE "Team #1" = 'liege basket' | SELECT "Team #2" FROM "table_63987" WHERE "Team #1" = 'liege basket' | 0.066406 |
CREATE TABLE table_name_51 (time_retired VARCHAR2, driver VARCHAR2)
| what is the time/retired when the driver is toulo de graffenried? | SELECT time_retired FROM table_name_51 WHERE driver = "toulo de graffenried" | SELECT "time_retired" FROM "table_name_51" WHERE "driver" = "toulo de graffenried" | 0.080078 |
CREATE TABLE table_22673956_1 (race_name VARCHAR2, track VARCHAR2)
| How many races took place on the Indianapolis Motor Speedway track? | SELECT COUNT(race_name) FROM table_22673956_1 WHERE track = "Indianapolis Motor Speedway" | SELECT COUNT("race_name") FROM "table_22673956_1" WHERE "Indianapolis Motor Speedway" = "track" | 0.092773 |
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
| Which class is easiest to fulfill the Core requirement ? | SELECT DISTINCT course.department, course.name, course.number, program_course.workload, program_course.workload FROM course, program_course WHERE program_course.category LIKE '%Core%' AND program_course.course_id = course.course_id AND program_course.workload = (SELECT MIN(PROGRAM_COURSEalias1.workload) FROM program_course AS PROGRAM_COURSEalias1 WHERE PROGRAM_COURSEalias1.category LIKE '%Core%') | WITH "_u_0" AS (SELECT MIN("PROGRAM_COURSEalias1"."workload") FROM "program_course" "PROGRAM_COURSEalias1" WHERE "PROGRAM_COURSEalias1"."category" LIKE '%Core%') SELECT DISTINCT "course"."department", "course"."name", "course"."number", "program_course"."workload", "program_course"."workload" FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%Core%' JOIN "_u_0" "_u_0" ON "_u_0"."" = "program_course"."workload" | 0.480469 |
CREATE TABLE table_name_72 (song VARCHAR2, draw VARCHAR2, percentage VARCHAR2)
| What Song has a Draw of less than 4 with a Percentage of 32.22%? | SELECT song FROM table_name_72 WHERE draw < 4 AND percentage = "32.22%" | SELECT "song" FROM "table_name_72" WHERE "32.22%" = "percentage" AND "draw" < 4 | 0.077148 |
CREATE TABLE table_72011 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Decision" CLOB, "Attendance" FLOAT, "Record" CLOB)
| Which score has a record of 58 15 8? | SELECT "Score" FROM table_72011 WHERE "Record" = '58–15–8' | SELECT "Score" FROM "table_72011" WHERE "Record" = '58–15–8' | 0.058594 |
CREATE TABLE table_22673872_1 (rnd NUMBER, winning_driver VARCHAR2, track VARCHAR2)
| In what round did Al Unser win at Wisconsin State Fair Park Speedway? | SELECT MIN(rnd) FROM table_22673872_1 WHERE winning_driver = "Al Unser" AND track = "Wisconsin State Fair Park Speedway" | SELECT MIN("rnd") FROM "table_22673872_1" WHERE "Al Unser" = "winning_driver" AND "Wisconsin State Fair Park Speedway" = "track" | 0.125 |
CREATE TABLE table_9255 ("Season" FLOAT, "Conference" CLOB, "Champion" CLOB, "Format" CLOB, "Series" CLOB, "Runner-Up" CLOB)
| What series has a season after 2008, super leg final as the format, and conference v as the conference? | SELECT "Series" FROM table_9255 WHERE "Season" > '2008' AND "Format" = 'super leg final' AND "Conference" = 'conference v' | SELECT "Series" FROM "table_9255" WHERE "Conference" = 'conference v' AND "Format" = 'super leg final' AND "Season" > '2008' | 0.121094 |
CREATE TABLE table_name_62 (wins NUMBER, byes VARCHAR2, golden_rivers VARCHAR2, against VARCHAR2, losses VARCHAR2)
| What was the total number of wins that had an against greater than 1136 but losses less than 15 with Ultima with less than 2 byes? | SELECT SUM(wins) FROM table_name_62 WHERE against > 1136 AND losses < 15 AND golden_rivers = "ultima" AND byes < 2 | SELECT SUM("wins") FROM "table_name_62" WHERE "against" > 1136 AND "byes" < 2 AND "golden_rivers" = "ultima" AND "losses" < 15 | 0.123047 |
CREATE TABLE table_name_97 (competition VARCHAR2, date VARCHAR2)
| What competition was held on the date 6/7/03 | SELECT competition FROM table_name_97 WHERE date = "6/7/03" | SELECT "competition" FROM "table_name_97" WHERE "6/7/03" = "date" | 0.063477 |
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare 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 food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name 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 days (days_code VARCHAR2, 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 time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
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 flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE 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 city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
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 airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
| DL flights from SAN FRANCISCO please | 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 = 'SAN FRANCISCO' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_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" = 'SAN FRANCISCO' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."airline_code" = 'DL' JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" | 0.486328 |
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
| For those records from the products and each product's manufacturer, give me the comparison about the sum of revenue over the headquarter , and group by attribute headquarter by a bar chart, and could you sort Y in desc order? | SELECT Headquarter, SUM(Revenue) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Headquarter ORDER BY SUM(Revenue) DESC | SELECT "Headquarter", SUM("Revenue") FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Headquarter" ORDER BY SUM("Revenue") DESC | 0.167969 |
CREATE TABLE party (Party_ID NUMBER, Minister CLOB, Took_office CLOB, Left_office CLOB, Region_ID NUMBER, Party_name CLOB)
CREATE TABLE party_events (Event_ID NUMBER, Event_Name CLOB, Party_ID NUMBER, Member_in_charge_ID NUMBER)
CREATE TABLE region (Region_ID NUMBER, Region_name CLOB, Date CLOB, Label CLOB, Format CLOB, Catalogue CLOB)
CREATE TABLE member (Member_ID NUMBER, Member_Name CLOB, Party_ID CLOB, In_office CLOB)
| Stacked bar of took office and how many took office colored by Minister, and sort Y from low to high order. | SELECT Took_office, COUNT(Took_office) FROM party GROUP BY Minister ORDER BY COUNT(Took_office) | SELECT "Took_office", COUNT("Took_office") FROM "party" GROUP BY "Minister" ORDER BY COUNT("Took_office") | 0.102539 |
CREATE TABLE table_10401 ("NGC number" FLOAT, "Object type" CLOB, "Constellation" CLOB, "Right ascension ( J2000 ) " CLOB, "Declination ( J2000 ) " CLOB)
| Name the total number of NGC number for sagittarius and diffuse nebula with declination of 02 | SELECT COUNT("NGC number") FROM table_10401 WHERE "Constellation" = 'sagittarius' AND "Object type" = 'diffuse nebula' AND "Declination ( J2000 )" = '°02′' | SELECT COUNT("NGC number") FROM "table_10401" WHERE "Constellation" = 'sagittarius' AND "Declination ( J2000 )" = '°02′' AND "Object type" = 'diffuse nebula' | 0.15332 |
CREATE TABLE table_44486 ("Team" CLOB, "Tries for" CLOB, "Tries against" CLOB, "Try diff" CLOB, "Points for" CLOB, "Points against" CLOB, "Points diff" CLOB)
| What is Tries Against, when Tries For is 21? | SELECT "Tries against" FROM table_44486 WHERE "Tries for" = '21' | SELECT "Tries against" FROM "table_44486" WHERE "Tries for" = '21' | 0.064453 |
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 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 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 PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense 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 PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId 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 PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
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 SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
| distribution of up and down votes. | WITH p AS (SELECT Id FROM Posts WHERE PostTypeId = 2), a AS (SELECT p.Id, SUM(CASE WHEN v.VoteTypeId = 2 THEN 1 ELSE 0 END) AS upvotes, SUM(CASE WHEN v.VoteTypeId = 3 THEN 1 ELSE 0 END) AS downvotes FROM p JOIN Votes AS v ON p.Id = v.PostId GROUP BY p.Id), m AS (SELECT upvotes, downvotes, COUNT(Id) AS cnt FROM a GROUP BY upvotes, downvotes), sm AS (SELECT upvotes, SUM(cnt) AS vsum FROM m GROUP BY upvotes) SELECT m.downvotes, 1.00 * cnt / vsum FROM m JOIN sm ON m.upvotes = sm.upvotes WHERE m.upvotes = 1 ORDER BY m.downvotes | WITH "a" AS (SELECT MAX(1) AS "_" FROM "Posts" JOIN "Votes" "v" ON "Id" = "v"."PostId" WHERE "PostTypeId" = 2 GROUP BY "Id"), "m" AS (SELECT "upvotes", "downvotes" FROM "a" GROUP BY "upvotes", "downvotes"), "sm" AS (SELECT "upvotes" FROM "m" GROUP BY "upvotes") SELECT "m"."downvotes", 1.00 * "cnt" / NULLIF("vsum", 0) FROM "m" JOIN "sm" ON "m"."upvotes" = "sm"."upvotes" WHERE "m"."upvotes" = 1 ORDER BY "m"."downvotes" | 0.410156 |
CREATE TABLE table_5042 ("Score" FLOAT, "Opposition" CLOB, "Venue" CLOB, "City" CLOB, "Year" FLOAT)
| What was the score when the opposition was sussex after 1890? | SELECT "Score" FROM table_5042 WHERE "Opposition" = 'sussex' AND "Year" > '1890' | SELECT "Score" FROM "table_5042" WHERE "Opposition" = 'sussex' AND "Year" > '1890' | 0.080078 |
CREATE TABLE table_name_38 (away_team VARCHAR2, venue VARCHAR2)
| What was the away team's score in Junction Oval? | SELECT away_team AS score FROM table_name_38 WHERE venue = "junction oval" | SELECT "away_team" AS "score" FROM "table_name_38" WHERE "junction oval" = "venue" | 0.080078 |
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE 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 intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
| among patients who were prescribed calcium gluconate 10% after having been diagnosed with hypotension / pressor dependent calculate the four year survival rate. | SELECT SUM(CASE WHEN patient.hospitaldischargestatus = 'alive' THEN 1 WHEN STRFTIME('%j', patient.hospitaldischargetime) - STRFTIME('%j', t4.diagnosistime) > 4 * 365 THEN 1 ELSE 0 END) * 100 / COUNT(*) FROM (SELECT t2.uniquepid, t2.diagnosistime FROM (SELECT t1.uniquepid, t1.diagnosistime FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'hypotension / pressor dependent' GROUP BY patient.uniquepid HAVING MIN(diagnosis.diagnosistime) = diagnosis.diagnosistime) AS t1) AS t2 JOIN (SELECT patient.uniquepid, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE medication.drugname = 'calcium gluconate 10%') AS t3 ON t2.uniquepid = t3.uniquepid WHERE t2.diagnosistime < t3.drugstarttime) AS t4 JOIN patient ON t4.uniquepid = patient.uniquepid | WITH "t1" AS (SELECT "patient"."uniquepid", "diagnosis"."diagnosistime" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 'hypotension / pressor dependent' GROUP BY "patient"."uniquepid" HAVING "diagnosis"."diagnosistime" = MIN("diagnosis"."diagnosistime")), "t3" AS (SELECT "patient"."uniquepid", "medication"."drugstarttime" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" WHERE "medication"."drugname" = 'calcium gluconate 10%') SELECT SUM(CASE WHEN "patient"."hospitaldischargestatus" = 'alive' THEN 1 WHEN STRFTIME('%j', "patient"."hospitaldischargetime") - STRFTIME('%j', "t1"."diagnosistime") > 1460 THEN 1 ELSE 0 END) * 100 / NULLIF(COUNT(*), 0) FROM "t1" "t1" JOIN "t3" "t3" ON "t1"."diagnosistime" < "t3"."drugstarttime" AND "t1"."uniquepid" = "t3"."uniquepid" JOIN "patient" ON "patient"."uniquepid" = "t1"."uniquepid" | 0.944336 |
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE days (days_code VARCHAR2, 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 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 equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
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 class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE month (month_number NUMBER, month_name 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 fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note 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 (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 flight_fare (flight_id NUMBER, fare_id NUMBER)
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 code_description (code VARCHAR2, description CLOB)
| list all AA flights from PHOENIX to MILWAUKEE which arrive on wednesday after 1600 | 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, date_day, days, flight WHERE (((((((flight.arrival_time < 41 OR flight.time_elapsed >= 60) AND flight.departure_time > flight.arrival_time) AND date_day.day_number = 23 AND date_day.month_number = 4 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code) OR (date_day.day_number = 23 AND date_day.month_number = 4 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND NOT ((flight.arrival_time < 41 OR flight.time_elapsed >= 60) AND flight.departure_time > flight.arrival_time))) AND flight.arrival_time > 1600) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'MILWAUKEE' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PHOENIX' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.airline_code = 'AA' | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 23 AND "date_day"."month_number" = 4 AND "date_day"."year" = 1991 JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'PHOENIX' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" AND "flight"."airline_code" = 'AA' AND "flight"."arrival_time" > 1600 JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'MILWAUKEE' | 0.763672 |
CREATE TABLE table_60454 ("Tournament" CLOB, "2001" CLOB, "2002" CLOB, "2003" CLOB, "2004" CLOB, "2005" CLOB, "2006" CLOB, "2007" CLOB, "2008" CLOB, "2009" CLOB, "2010" CLOB, "2011" CLOB, "2012" CLOB, "2013" CLOB)
| What is 2001, when 2007 is '1R', and when 2008 is 'Q1'? | SELECT "2001" FROM table_60454 WHERE "2007" = '1r' AND "2008" = 'q1' | SELECT "2001" FROM "table_60454" WHERE "2007" = '1r' AND "2008" = 'q1' | 0.068359 |
CREATE TABLE candidate (Candidate_ID NUMBER, People_ID NUMBER, Poll_Source CLOB, Date CLOB, Support_rate FLOAT, Consider_rate FLOAT, Oppose_rate FLOAT, Unsure_rate FLOAT)
CREATE TABLE people (People_ID NUMBER, Sex CLOB, Name CLOB, Date_of_Birth CLOB, Height FLOAT, Weight FLOAT)
| Bar chart x axis date of birth y axis height, and could you list Y in descending order? | SELECT Date_of_Birth, Height FROM people ORDER BY Height DESC | SELECT "Date_of_Birth", "Height" FROM "people" ORDER BY "Height" DESC | 0.067383 |
CREATE TABLE table_38858 ("System" CLOB, "Owner" CLOB, "Quantity" FLOAT, "Delivery" CLOB, "Length" CLOB, "Gauge" CLOB, "Operation" CLOB, "Seats" FLOAT, "Standing" FLOAT)
| Which deliver has 16 and a standing more than 128? | SELECT "Delivery" FROM table_38858 WHERE "Quantity" = '16' AND "Standing" > '128' | SELECT "Delivery" FROM "table_38858" WHERE "Quantity" = '16' AND "Standing" > '128' | 0.081055 |
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId 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 PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
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 PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId 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 Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
| Questions I've answered and closed. Questions that a user has both answered and successfully voted to close. | SELECT DISTINCT Answer.ParentId AS "post_link" FROM Posts AS Answer JOIN Votes AS CloseVote ON CloseVote.PostId = Answer.ParentId WHERE Answer.PostTypeId = 2 AND CloseVote.VoteTypeId = 6 AND CloseVote.UserId = Answer.OwnerUserId | SELECT DISTINCT "Answer"."ParentId" AS "post_link" FROM "Posts" "Answer" JOIN "Votes" "CloseVote" ON "Answer"."OwnerUserId" = "CloseVote"."UserId" AND "Answer"."ParentId" = "CloseVote"."PostId" AND "CloseVote"."VoteTypeId" = 6 WHERE "Answer"."PostTypeId" = 2 | 0.251953 |
CREATE TABLE table_57769 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What's the average number of people in the Crowd that attend essendon games as the Home team? | SELECT AVG("Crowd") FROM table_57769 WHERE "Home team" = 'essendon' | SELECT AVG("Crowd") FROM "table_57769" WHERE "Home team" = 'essendon' | 0.067383 |
CREATE TABLE table_27743641_2 (gt_winning_team VARCHAR2, gtc_winning_team VARCHAR2)
| Who were the GT winning team when the GTC winning team was No. 54 Black Swan Racing? | SELECT gt_winning_team FROM table_27743641_2 WHERE gtc_winning_team = "No. 54 Black Swan Racing" | SELECT "gt_winning_team" FROM "table_27743641_2" WHERE "No. 54 Black Swan Racing" = "gtc_winning_team" | 0.099609 |
CREATE TABLE table_39400 ("Year" FLOAT, "Champion" CLOB, "Country" CLOB, "Venue" CLOB, "Location" CLOB, "Score" CLOB, "Winner's share ( $ ) " FLOAT)
| What is the average winner's share won by Billy Casper? | SELECT AVG("Winner's share ( $ )") FROM table_39400 WHERE "Champion" = 'billy casper' | SELECT AVG("Winner's share ( $ )") FROM "table_39400" WHERE "Champion" = 'billy casper' | 0.084961 |
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
| count the number of patients that are prescribed aspirin (baby asa) 81 mg tab in the same hospital visit after having been diagnosed with anxiety. | SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, diagnosis.diagnosistime, patient.patienthealthsystemstayid FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'anxiety') AS t1 JOIN (SELECT patient.uniquepid, medication.drugstarttime, patient.patienthealthsystemstayid FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE medication.drugname = 'aspirin (baby asa) 81 mg tab') AS t2 WHERE t1.diagnosistime < t2.drugstarttime AND t1.patienthealthsystemstayid = t2.patienthealthsystemstayid | WITH "t2" AS (SELECT "medication"."drugstarttime", "patient"."patienthealthsystemstayid" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" WHERE "medication"."drugname" = 'aspirin (baby asa) 81 mg tab') SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" JOIN "t2" "t2" ON "diagnosis"."diagnosistime" < "t2"."drugstarttime" AND "patient"."patienthealthsystemstayid" = "t2"."patienthealthsystemstayid" WHERE "diagnosis"."diagnosisname" = 'anxiety' | 0.575195 |
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)
| what is average age of patients whose gender is f and primary disease is angioedema? | SELECT AVG(demographic.age) FROM demographic WHERE demographic.gender = "F" AND demographic.diagnosis = "ANGIOEDEMA" | SELECT AVG("demographic"."age") FROM "demographic" WHERE "ANGIOEDEMA" = "demographic"."diagnosis" AND "F" = "demographic"."gender" | 0.126953 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
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)
| How many patients were admitted as transfer from hosp/extram before the year 2163? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "TRANSFER FROM HOSP/EXTRAM" AND demographic.admityear < "2163" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2163" > "demographic"."admityear" AND "TRANSFER FROM HOSP/EXTRAM" = "demographic"."admission_location" | 0.173828 |
CREATE TABLE table_19554 ("Pick #" FLOAT, "Player" CLOB, "Position" CLOB, "Nationality" CLOB, "NHL team" CLOB, "College/junior/club team" CLOB)
| what's the position with player being ray boutin | SELECT "Position" FROM table_19554 WHERE "Player" = 'Ray Boutin' | SELECT "Position" FROM "table_19554" WHERE "Player" = 'Ray Boutin' | 0.064453 |
CREATE TABLE table_25561038_1 (season VARCHAR2, position VARCHAR2)
| List the year in which the driver was in 1st place. | SELECT season FROM table_25561038_1 WHERE position = "1st" | SELECT "season" FROM "table_25561038_1" WHERE "1st" = "position" | 0.0625 |
CREATE TABLE table_9191 ("Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Partner" CLOB, "Opponents" CLOB, "Score" CLOB)
| What type of surface was played on July 27, 2013? | SELECT "Surface" FROM table_9191 WHERE "Date" = 'july 27, 2013' | SELECT "Surface" FROM "table_9191" WHERE "Date" = 'july 27, 2013' | 0.063477 |
CREATE TABLE Maintenance_Engineers (last_name VARCHAR2)
| What are all the distinct last names of all the engineers? | SELECT DISTINCT last_name FROM Maintenance_Engineers | SELECT DISTINCT "last_name" FROM "Maintenance_Engineers" | 0.054688 |
CREATE TABLE table_21876 ("Season" FLOAT, "Date" CLOB, "Winning Driver" CLOB, "Car #" FLOAT, "Sponsor" CLOB, "Make" CLOB, "Team" CLOB, "Avg Speed" CLOB, "Margin of Victory" CLOB)
| What was the represented team on June 27? | SELECT "Team" FROM table_21876 WHERE "Date" = 'June 27' | SELECT "Team" FROM "table_21876" WHERE "Date" = 'June 27' | 0.055664 |
CREATE TABLE table_50818 ("Number" FLOAT, "Player" CLOB, "Position" CLOB, "Height" CLOB, "Weight" FLOAT, "Years Exp" CLOB, "College" CLOB)
| What is Years Exp, when Height is '7-2'? | SELECT "Years Exp" FROM table_50818 WHERE "Height" = '7-2' | SELECT "Years Exp" FROM "table_50818" WHERE "Height" = '7-2' | 0.058594 |
CREATE TABLE product (product_id NUMBER, product_name CLOB, product_details CLOB)
CREATE TABLE problem_log (problem_log_id NUMBER, assigned_to_staff_id NUMBER, problem_id NUMBER, problem_category_code CLOB, problem_status_code CLOB, log_entry_date TIME, log_entry_description CLOB, log_entry_fix CLOB, other_log_details CLOB)
CREATE TABLE problem_status_codes (problem_status_code CLOB, problem_status_description CLOB)
CREATE TABLE problems (problem_id NUMBER, product_id NUMBER, closure_authorised_by_staff_id NUMBER, reported_by_staff_id NUMBER, date_problem_reported TIME, date_problem_closed TIME, problem_description CLOB, other_problem_details CLOB)
CREATE TABLE staff (staff_id NUMBER, staff_first_name CLOB, staff_last_name CLOB, other_staff_details CLOB)
CREATE TABLE problem_category_codes (problem_category_code CLOB, problem_category_description CLOB)
| For each product that has problems, find the number of problems reported after 1986-11-13 and the product id? | SELECT COUNT(*), T2.product_id FROM problems AS T1 JOIN product AS T2 ON T1.product_id = T2.product_id WHERE T1.date_problem_reported > "1986-11-13" GROUP BY T2.product_id | SELECT COUNT(*), "T2"."product_id" FROM "problems" "T1" JOIN "product" "T2" ON "T1"."product_id" = "T2"."product_id" WHERE "1986-11-13" < "T1"."date_problem_reported" GROUP BY "T2"."product_id" | 0.188477 |
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE 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 ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseReasonTypes (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 ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount 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 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 PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId 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 PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
| List all votes on a given post. | SELECT T.Name, COUNT(*) FROM Votes AS V, VoteTypes AS T WHERE PostId = '##PostId:int?366891##' AND V.VoteTypeId = T.Id GROUP BY T.Name | SELECT "T"."Name", COUNT(*) FROM "Votes" "V" JOIN "VoteTypes" "T" ON "T"."Id" = "V"."VoteTypeId" WHERE "PostId" = '##PostId:int?366891##' GROUP BY "T"."Name" | 0.15332 |
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)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what number of patients born before the year 2049 had procedure under icd9 code 9962? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.dob_year < "2049" AND procedures.icd9_code = "9962" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "9962" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "2049" > "demographic"."dob_year" | 0.210938 |
CREATE TABLE table_name_33 (attendance VARCHAR2, result VARCHAR2)
| What was the Attendance when the Result was L 31 23? | SELECT attendance FROM table_name_33 WHERE result = "l 31–23" | SELECT "attendance" FROM "table_name_33" WHERE "l 31–23" = "result" | 0.06543 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many patients are admitted urgently and lab tested for bilirubin,direct? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_type = "URGENT" AND lab.label = "Bilirubin, Direct" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Bilirubin, Direct" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "URGENT" = "demographic"."admission_type" | 0.207031 |
CREATE TABLE teachers (lastname CLOB, firstname CLOB, classroom NUMBER)
CREATE TABLE list (lastname CLOB, firstname CLOB, grade NUMBER, classroom NUMBER)
| For each classroom, show the classroom number and find how many students are using it. | SELECT classroom, COUNT(*) FROM list GROUP BY classroom | SELECT "classroom", COUNT(*) FROM "list" GROUP BY "classroom" | 0.05957 |
CREATE TABLE table_32649 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What's the home team's score at lake oval? | SELECT "Home team score" FROM table_32649 WHERE "Venue" = 'lake oval' | SELECT "Home team score" FROM "table_32649" WHERE "Venue" = 'lake oval' | 0.069336 |
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 medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
| how many patients were discharged from hospitals until 2104? | SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE NOT patient.hospitaldischargetime IS NULL AND STRFTIME('%y', patient.hospitaldischargetime) <= '2104' | SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "patient" WHERE NOT "patient"."hospitaldischargetime" IS NULL AND STRFTIME('%y', "patient"."hospitaldischargetime") <= '2104' | 0.170898 |
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