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CREATE TABLE table_47021 ("Date" TEXT, "Venue" TEXT, "Score" TEXT, "Result" TEXT, "Competition" TEXT)
| On what date was the result a draw? | SELECT "Date" FROM table_47021 WHERE "Result" = 'draw' | SELECT "Date" FROM "table_47021" WHERE "Result" = 'draw' | 0.054688 |
CREATE TABLE table_68652 ("Tournament" TEXT, "2003" TEXT, "2007" TEXT, "2008" TEXT, "2009" TEXT, "2011" TEXT)
| What is the 2007 value with 1r in 2009 and 2r in 2011 at the Tournament of Wimbledon? | SELECT "2007" FROM table_68652 WHERE "2009" = '1r' AND "2011" = '2r' AND "Tournament" = 'wimbledon' | SELECT "2007" FROM "table_68652" WHERE "2009" = '1r' AND "2011" = '2r' AND "Tournament" = 'wimbledon' | 0.098633 |
CREATE TABLE table_3165 ("Saddle cloth" FLOAT, "Horse" TEXT, "Trainer" TEXT, "Jockey" TEXT, "Weight ( kg ) " TEXT, "Barrier [b ]" FLOAT, "Placing" TEXT)
| What was the weight in kg when the horse was Alcopop? | SELECT "Weight (kg)" FROM table_3165 WHERE "Horse" = 'Alcopop' | SELECT "Weight (kg)" FROM "table_3165" WHERE "Horse" = 'Alcopop' | 0.0625 |
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
| tell me the total amount of jp lateral patient 64538 had until 03/02/2101? | SELECT SUM(outputevents.value) FROM outputevents WHERE outputevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 64538)) AND outputevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'jp lateral' AND d_items.linksto = 'outputevents') AND STRFTIME('%y-%m-%d', outputevents.charttime) <= '2101-03-02' | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 64538 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'jp lateral' AND "d_items"."linksto" = 'outputevents' GROUP BY "itemid") SELECT SUM("outputevents"."value") FROM "outputevents" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "outputevents"."icustay_id" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "outputevents"."itemid" WHERE NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL AND STRFTIME('%y-%m-%d', "outputevents"."charttime") <= '2101-03-02' | 0.744141 |
CREATE TABLE table_27648 ("Letters" TEXT, "Organization" TEXT, "Nickname" TEXT, "Founding Date" TEXT, "Founding University" TEXT, "Type" TEXT)
| If the founding university is in Charlotte, NC, what is the nickname? | SELECT "Nickname" FROM table_27648 WHERE "Founding University" = 'Charlotte, NC' | SELECT "Nickname" FROM "table_27648" WHERE "Founding University" = 'Charlotte, NC' | 0.080078 |
CREATE TABLE table_name_26 (away_team VARCHAR, home_team VARCHAR)
| What did the away team score when they visited south melbourne? | SELECT away_team AS score FROM table_name_26 WHERE home_team = "south melbourne" | SELECT "away_team" AS "score" FROM "table_name_26" WHERE "home_team" = "south melbourne" | 0.085938 |
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
| what is the five, the most frequent input event? | SELECT t1.celllabel FROM (SELECT intakeoutput.celllabel, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM intakeoutput WHERE intakeoutput.cellpath LIKE '%intake%' GROUP BY intakeoutput.celllabel) AS t1 WHERE t1.c1 <= 5 | WITH "t1" AS (SELECT "intakeoutput"."celllabel", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "intakeoutput" WHERE "intakeoutput"."cellpath" LIKE '%intake%' GROUP BY "intakeoutput"."celllabel") SELECT "t1"."celllabel" FROM "t1" AS "t1" WHERE "t1"."c1" <= 5 | 0.271484 |
CREATE TABLE table_6827 ("Name" TEXT, "Profession" TEXT, "City" TEXT, "Entered the house" TEXT, "Evicted" TEXT)
| What is sla ana peji 's profession? | SELECT "Profession" FROM table_6827 WHERE "Name" = 'slađana pejić' | SELECT "Profession" FROM "table_6827" WHERE "Name" = 'slađana pejić' | 0.066406 |
CREATE TABLE table_49621 ("Region ( year ) " TEXT, "No. 1" TEXT, "No. 2" TEXT, "No. 3" TEXT, "No. 4" TEXT, "No. 5" TEXT, "No. 6" TEXT, "No. 7" TEXT, "No. 8" TEXT, "No. 9" TEXT, "No. 10" TEXT)
| What is the No. 6 of the person with a No. 10 of Joshua and a No. 8 of Andrew? | SELECT "No. 6" FROM table_49621 WHERE "No. 10" = 'joshua' AND "No. 8" = 'andrew' | SELECT "No. 6" FROM "table_49621" WHERE "No. 10" = 'joshua' AND "No. 8" = 'andrew' | 0.080078 |
CREATE TABLE table_name_24 (tries_for VARCHAR, club VARCHAR)
| How many tries did the club Croesyceiliog rfc have? | SELECT tries_for FROM table_name_24 WHERE club = "croesyceiliog rfc" | SELECT "tries_for" FROM "table_name_24" WHERE "club" = "croesyceiliog rfc" | 0.072266 |
CREATE TABLE table_203_446 (id DECIMAL, "name" TEXT, "gender" TEXT, "age" DECIMAL, "from" TEXT, "occupation" TEXT, "prize money ( usd ) " TEXT, "status" TEXT)
| who was the top prize winner in cha $ e ? | SELECT "name" FROM table_203_446 ORDER BY "prize money (usd)" DESC LIMIT 1 | SELECT "name" FROM "table_203_446" ORDER BY "prize money (usd)" DESC NULLS LAST LIMIT 1 | 0.084961 |
CREATE TABLE sampledata15 (sample_pk DECIMAL, state TEXT, year TEXT, month TEXT, day TEXT, site TEXT, commod TEXT, source_id TEXT, variety TEXT, origin TEXT, country TEXT, disttype TEXT, commtype TEXT, claim TEXT, quantity DECIMAL, growst TEXT, packst TEXT, distst TEXT)
CREATE TABLE resultsdata15 (sample_pk DECIMAL, commod TEXT, commtype TEXT, lab TEXT, pestcode TEXT, testclass TEXT, concen DECIMAL, lod DECIMAL, conunit TEXT, confmethod TEXT, confmethod2 TEXT, annotate TEXT, quantitate TEXT, mean TEXT, extract TEXT, determin TEXT)
| Rank the country of product origins in terms of pesticide residues detection. | SELECT T1.country FROM sampledata15 AS T1 JOIN resultsdata15 AS T2 ON T1.sample_pk = T2.sample_pk GROUP BY T1.country ORDER BY T2.concen | SELECT "T1"."country" FROM "sampledata15" AS "T1" JOIN "resultsdata15" AS "T2" ON "T1"."sample_pk" = "T2"."sample_pk" GROUP BY "T1"."country" ORDER BY "T2"."concen" NULLS FIRST | 0.171875 |
CREATE TABLE body_builder (Body_Builder_ID INT, People_ID INT, Snatch FLOAT, Clean_Jerk FLOAT, Total FLOAT)
CREATE TABLE people (People_ID INT, Name TEXT, Height FLOAT, Weight FLOAT, Birth_Date TEXT, Birth_Place TEXT)
| Scatter plot to show snatch on x axis and clean_jerk on y axis. | SELECT Snatch, Clean_Jerk FROM body_builder | SELECT "Snatch", "Clean_Jerk" FROM "body_builder" | 0.047852 |
CREATE TABLE table_1456056_1 (total INT, country VARCHAR)
| Name the minimum total for ireland | SELECT MIN(total) FROM table_1456056_1 WHERE country = "Ireland" | SELECT MIN("total") FROM "table_1456056_1" WHERE "Ireland" = "country" | 0.068359 |
CREATE TABLE table_78820 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Kickoff Time" TEXT, "Attendance" TEXT)
| What is the kickoff time for the game in week of 17? | SELECT "Kickoff Time" FROM table_78820 WHERE "Week" = '17' | SELECT "Kickoff Time" FROM "table_78820" WHERE "Week" = '17' | 0.058594 |
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
| show me the top four most common diagnoses of patients with the age of 20s? | SELECT d_icd_diagnoses.short_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.icd9_code IN (SELECT t1.icd9_code FROM (SELECT diagnoses_icd.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM diagnoses_icd WHERE diagnoses_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.age BETWEEN 20 AND 29) GROUP BY diagnoses_icd.icd9_code) AS t1 WHERE t1.c1 <= 4) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."age" <= 29 AND "admissions"."age" >= 20 GROUP BY "hadm_id"), "t1" AS (SELECT "diagnoses_icd"."icd9_code", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "diagnoses_icd" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "diagnoses_icd"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "diagnoses_icd"."icd9_code"), "_u_1" AS (SELECT "t1"."icd9_code" FROM "t1" AS "t1" WHERE "t1"."c1" <= 4 GROUP BY "icd9_code") SELECT "d_icd_diagnoses"."short_title" FROM "d_icd_diagnoses" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "d_icd_diagnoses"."icd9_code" WHERE NOT "_u_1"."" IS NULL | 0.649414 |
CREATE TABLE table_36841 ("Rank" TEXT, "Film" TEXT, "Director ( s ) " TEXT, "Producer ( s ) " TEXT, "Writer ( s ) " TEXT, "Production Company" TEXT)
| For which production company did Sam Mccarthy produce? | SELECT "Production Company" FROM table_36841 WHERE "Producer(s)" = 'sam mccarthy' | SELECT "Production Company" FROM "table_36841" WHERE "Producer(s)" = 'sam mccarthy' | 0.081055 |
CREATE TABLE table_19131921_1 (dma INT, format VARCHAR)
| What is the dma when the format is rhythmic contemporary? | SELECT MIN(dma) FROM table_19131921_1 WHERE format = "Rhythmic Contemporary" | SELECT MIN("dma") FROM "table_19131921_1" WHERE "Rhythmic Contemporary" = "format" | 0.080078 |
CREATE TABLE table_name_38 (loss VARCHAR, date VARCHAR)
| Who lost the game on May 28? | SELECT loss FROM table_name_38 WHERE date = "may 28" | SELECT "loss" FROM "table_name_38" WHERE "date" = "may 28" | 0.056641 |
CREATE TABLE table_name_4 (week VARCHAR, date VARCHAR)
| Week that has a Date of december 5, 1959 had what week? | SELECT week FROM table_name_4 WHERE date = "december 5, 1959" | SELECT "week" FROM "table_name_4" WHERE "date" = "december 5, 1959" | 0.06543 |
CREATE TABLE university (School_ID INT, School TEXT, Location TEXT, Founded FLOAT, Affiliation TEXT, Enrollment FLOAT, Nickname TEXT, Primary_conference TEXT)
CREATE TABLE basketball_match (Team_ID INT, School_ID INT, Team_Name TEXT, ACC_Regular_Season TEXT, ACC_Percent TEXT, ACC_Home TEXT, ACC_Road TEXT, All_Games TEXT, All_Games_Percent INT, All_Home TEXT, All_Road TEXT, All_Neutral TEXT)
| Return a scatter chart about the correlation between School_ID and All_Games_Percent , and group by attribute Team_Name. | SELECT School_ID, All_Games_Percent FROM basketball_match GROUP BY Team_Name | SELECT "School_ID", "All_Games_Percent" FROM "basketball_match" GROUP BY "Team_Name" | 0.082031 |
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
| count the number of patients who received vitamin k within 2 months after being diagnosed until 3 years ago with bone fracture(s) - left lower extremity. | SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'bone fracture(s) - left lower extremity' AND DATETIME(diagnosis.diagnosistime) <= DATETIME(CURRENT_TIME(), '-3 year')) AS t1 JOIN (SELECT patient.uniquepid, treatment.treatmenttime FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'vitamin k' AND DATETIME(treatment.treatmenttime) <= DATETIME(CURRENT_TIME(), '-3 year')) AS t2 WHERE t1.diagnosistime < t2.treatmenttime AND DATETIME(t2.treatmenttime) BETWEEN DATETIME(t1.diagnosistime) AND DATETIME(t1.diagnosistime, '+2 month') | SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" JOIN "treatment" ON "diagnosis"."diagnosistime" < "treatment"."treatmenttime" AND "treatment"."treatmentname" = 'vitamin k' AND DATETIME("diagnosis"."diagnosistime") <= DATETIME("treatment"."treatmenttime") AND DATETIME("diagnosis"."diagnosistime", '+2 month') >= DATETIME("treatment"."treatmenttime") AND DATETIME("treatment"."treatmenttime") <= DATETIME(CURRENT_TIME(), '-3 year') JOIN "patient" AS "patient_2" ON "patient_2"."patientunitstayid" = "treatment"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 'bone fracture(s) - left lower extremity' AND DATETIME("diagnosis"."diagnosistime") <= DATETIME(CURRENT_TIME(), '-3 year') | 0.765625 |
CREATE TABLE table_46570 ("Number" FLOAT, "Builder" TEXT, "Type" TEXT, "Date" FLOAT, "Works number" FLOAT)
| What date have highest 0-4-4 forney locomotive with number larger than 20 and works number larger than 23754? | SELECT MAX("Date") FROM table_46570 WHERE "Type" = '0-4-4 forney locomotive' AND "Number" > '20' AND "Works number" > '23754' | SELECT MAX("Date") FROM "table_46570" WHERE "Number" > '20' AND "Type" = '0-4-4 forney locomotive' AND "Works number" > '23754' | 0.124023 |
CREATE TABLE table_203_117 (id DECIMAL, "region/country" TEXT, "1882-\ 1918" DECIMAL, "1919-\ 1948" DECIMAL, "1948-\ 1951" DECIMAL, "1952-\ 1960" DECIMAL, "1961-\ 1971" DECIMAL, "1972-\ 1979" DECIMAL, "1980-\ 1989" DECIMAL, "1990-\ 2001" DECIMAL, "2002-\ 2010" DECIMAL, "2011-\ 2013" DECIMAL, "total" DECIMAL)
| what is the total number of immigrants from africa ? | SELECT "region/country" FROM table_203_117 WHERE "region/country" = 'africa' | SELECT "region/country" FROM "table_203_117" WHERE "region/country" = 'africa' | 0.076172 |
CREATE TABLE table_name_78 (crowd VARCHAR, venue VARCHAR)
| What was the attendance at the game played at Moorabbin Oval? | SELECT crowd FROM table_name_78 WHERE venue = "moorabbin oval" | SELECT "crowd" FROM "table_name_78" WHERE "moorabbin oval" = "venue" | 0.066406 |
CREATE TABLE table_name_72 (area__km_2__ INT, code VARCHAR, region VARCHAR)
| What is the largest area with a Code of 66097, and a Region larger than 6? | SELECT MAX(area__km_2__) FROM table_name_72 WHERE code = 66097 AND region > 6 | SELECT MAX("area__km_2__") FROM "table_name_72" WHERE "code" = 66097 AND "region" > 6 | 0.083008 |
CREATE TABLE Rating (rID INT, mID INT, stars INT, ratingDate DATE)
CREATE TABLE Movie (mID INT, title TEXT, year INT, director TEXT)
CREATE TABLE Reviewer (rID INT, name TEXT)
| Visualize the average smallest rating of different movie title using a bar chart. | SELECT T2.title, AVG(MIN(T1.stars)) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID GROUP BY T2.title | SELECT "T2"."title", AVG(MIN("T1"."stars")) FROM "Rating" AS "T1" JOIN "Movie" AS "T2" ON "T1"."mID" = "T2"."mID" GROUP BY "T2"."title" | 0.131836 |
CREATE TABLE table_71380 ("Polling Firm" TEXT, "Date" TEXT, "Link" TEXT, "PSOE" TEXT, "Others" TEXT, "Lead" TEXT)
| What is the PSOE for the Local Elections polling firm? | SELECT "PSOE" FROM table_71380 WHERE "Polling Firm" = 'local elections' | SELECT "PSOE" FROM "table_71380" WHERE "Polling Firm" = 'local elections' | 0.071289 |
CREATE TABLE driverstandings (driverstandingsid DECIMAL, raceid DECIMAL, driverid DECIMAL, points DECIMAL, position DECIMAL, positiontext TEXT, wins DECIMAL)
CREATE TABLE drivers (driverid DECIMAL, driverref TEXT, number DECIMAL, code TEXT, forename TEXT, surname TEXT, dob TEXT, nationality TEXT, url TEXT)
CREATE TABLE pitstops (raceid DECIMAL, driverid DECIMAL, stop DECIMAL, lap DECIMAL, time TEXT, duration TEXT, milliseconds DECIMAL)
CREATE TABLE constructorresults (constructorresultsid DECIMAL, raceid DECIMAL, constructorid DECIMAL, points DECIMAL, status DECIMAL)
CREATE TABLE status (statusid DECIMAL, status TEXT)
CREATE TABLE constructors (constructorid DECIMAL, constructorref TEXT, name TEXT, nationality TEXT, url TEXT)
CREATE TABLE qualifying (qualifyid DECIMAL, raceid DECIMAL, driverid DECIMAL, constructorid DECIMAL, number DECIMAL, position DECIMAL, q1 TEXT, q2 TEXT, q3 TEXT)
CREATE TABLE seasons (year DECIMAL, url TEXT)
CREATE TABLE laptimes (raceid DECIMAL, driverid DECIMAL, lap DECIMAL, position DECIMAL, time TEXT, milliseconds DECIMAL)
CREATE TABLE circuits (circuitid DECIMAL, circuitref TEXT, name TEXT, location TEXT, country TEXT, lat DECIMAL, lng DECIMAL, alt DECIMAL, url TEXT)
CREATE TABLE results (resultid DECIMAL, raceid DECIMAL, driverid DECIMAL, constructorid DECIMAL, number DECIMAL, grid DECIMAL, position DECIMAL, positiontext TEXT, positionorder DECIMAL, points DECIMAL, laps DECIMAL, time TEXT, milliseconds DECIMAL, fastestlap DECIMAL, rank DECIMAL, fastestlaptime TEXT, fastestlapspeed TEXT, statusid DECIMAL)
CREATE TABLE constructorstandings (constructorstandingsid DECIMAL, raceid DECIMAL, constructorid DECIMAL, points DECIMAL, position DECIMAL, positiontext TEXT, wins DECIMAL)
CREATE TABLE races (raceid DECIMAL, year DECIMAL, round DECIMAL, circuitid DECIMAL, name TEXT, date TEXT, time TEXT, url TEXT)
| Find the id, forename and number of races of all drivers who have at least participated in two races? | SELECT T1.driverid, T1.forename, COUNT(*) FROM drivers AS T1 JOIN results AS T2 ON T1.driverid = T2.driverid JOIN races AS T3 ON T2.raceid = T3.raceid GROUP BY T1.driverid HAVING COUNT(*) >= 2 | SELECT "T1"."driverid", "T1"."forename", COUNT(*) FROM "drivers" AS "T1" JOIN "results" AS "T2" ON "T1"."driverid" = "T2"."driverid" JOIN "races" AS "T3" ON "T2"."raceid" = "T3"."raceid" GROUP BY "T1"."driverid" HAVING COUNT(*) >= 2 | 0.226563 |
CREATE TABLE table_name_57 (round INT, position VARCHAR, player VARCHAR)
| Name the Round which has a Position of defensive back and corey chavous? | SELECT MIN(round) FROM table_name_57 WHERE position = "defensive back" AND player = "corey chavous" | SELECT MIN("round") FROM "table_name_57" WHERE "corey chavous" = "player" AND "defensive back" = "position" | 0.104492 |
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
| i would like a COACH class seat on a flight leaving DENVER arriving ATLANTA | 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, fare, fare_basis, flight, flight_fare WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ATLANTA' AND fare_basis.class_type = 'COACH' AND fare.fare_basis_code = fare_basis.fare_basis_code AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DENVER' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'DENVER' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'ATLANTA' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" JOIN "fare_basis" ON "fare"."fare_basis_code" = "fare_basis"."fare_basis_code" AND "fare_basis"."class_type" = 'COACH' | 0.735352 |
CREATE TABLE table_name_7 (to_par VARCHAR, winning_score VARCHAR)
| When the Winning is 71-71-70-69=281, what is the To par? | SELECT to_par FROM table_name_7 WHERE winning_score = 71 - 71 - 70 - 69 = 281 | SELECT "to_par" FROM "table_name_7" WHERE "winning_score" = FALSE | 0.063477 |
CREATE TABLE driver (Driver_ID INT, Name TEXT, Party TEXT, Home_city TEXT, Age INT)
CREATE TABLE school (School_ID INT, Grade TEXT, School TEXT, Location TEXT, Type TEXT)
CREATE TABLE school_bus (School_ID INT, Driver_ID INT, Years_Working INT, If_full_time BOOLEAN)
| Please give me a pie chart to show the number of home cities of all drivers, show by the x axis from low to high. | SELECT Home_city, COUNT(Home_city) FROM driver GROUP BY Home_city ORDER BY Home_city | SELECT "Home_city", COUNT("Home_city") FROM "driver" GROUP BY "Home_city" ORDER BY "Home_city" NULLS FIRST | 0.103516 |
CREATE TABLE table_204_413 (id DECIMAL, "medal" TEXT, "name" TEXT, "sport" TEXT, "event" TEXT, "date" TEXT)
| number of silver and bronze medals for finland in the 1924 summer olympics | SELECT COUNT(*) FROM table_204_413 WHERE "medal" = 'silver' OR "medal" = 'bronze' | SELECT COUNT(*) FROM "table_204_413" WHERE "medal" = 'bronze' OR "medal" = 'silver' | 0.081055 |
CREATE TABLE table_26233 ("No" FLOAT, "Player" TEXT, "Height ( m ) " TEXT, "Height ( f ) " TEXT, "Position" TEXT, "Year born" FLOAT, "Current Club" TEXT)
| What is the date of birth for basket baller called ido kozikaro | SELECT MAX("Year born") FROM table_26233 WHERE "Player" = 'Ido Kozikaro' | SELECT MAX("Year born") FROM "table_26233" WHERE "Player" = 'Ido Kozikaro' | 0.072266 |
CREATE TABLE Behavior_Incident (incident_id INT, incident_type_code VARCHAR, student_id INT, date_incident_start DATETIME, date_incident_end DATETIME, incident_summary VARCHAR, recommendations VARCHAR, other_details VARCHAR)
CREATE TABLE Teachers (teacher_id INT, address_id INT, first_name VARCHAR, middle_name VARCHAR, last_name VARCHAR, gender VARCHAR, cell_mobile_number VARCHAR, email_address VARCHAR, other_details VARCHAR)
CREATE TABLE Students (student_id INT, address_id INT, first_name VARCHAR, middle_name VARCHAR, last_name VARCHAR, cell_mobile_number VARCHAR, email_address VARCHAR, date_first_rental DATETIME, date_left_university DATETIME, other_student_details VARCHAR)
CREATE TABLE Addresses (address_id INT, line_1 VARCHAR, line_2 VARCHAR, line_3 VARCHAR, city VARCHAR, zip_postcode VARCHAR, state_province_county VARCHAR, country VARCHAR, other_address_details VARCHAR)
CREATE TABLE Ref_Detention_Type (detention_type_code VARCHAR, detention_type_description VARCHAR)
CREATE TABLE Ref_Incident_Type (incident_type_code VARCHAR, incident_type_description VARCHAR)
CREATE TABLE Detention (detention_id INT, detention_type_code VARCHAR, teacher_id INT, datetime_detention_start DATETIME, datetime_detention_end DATETIME, detention_summary VARCHAR, other_details VARCHAR)
CREATE TABLE Assessment_Notes (notes_id INT, student_id INT, teacher_id INT, date_of_notes DATETIME, text_of_notes VARCHAR, other_details VARCHAR)
CREATE TABLE Students_in_Detention (student_id INT, detention_id INT, incident_id INT)
CREATE TABLE Student_Addresses (student_id INT, address_id INT, date_address_from DATETIME, date_address_to DATETIME, monthly_rental DECIMAL, other_details VARCHAR)
CREATE TABLE Ref_Address_Types (address_type_code VARCHAR, address_type_description VARCHAR)
| Return a line chart about the change of the average of monthly_rental over date_address_to , and group by attribute date_address_to. | SELECT date_address_to, AVG(monthly_rental) FROM Student_Addresses GROUP BY date_address_to ORDER BY monthly_rental DESC | SELECT "date_address_to", AVG("monthly_rental") FROM "Student_Addresses" GROUP BY "date_address_to" ORDER BY "monthly_rental" DESC NULLS LAST | 0.137695 |
CREATE TABLE table_17018 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "U.S. viewers ( millions ) " TEXT)
| How many US viewers (millions) were there for 'cold reveal | SELECT "U.S. viewers (millions)" FROM table_17018 WHERE "Title" = 'Cold Reveal' | SELECT "U.S. viewers (millions)" FROM "table_17018" WHERE "Title" = 'Cold Reveal' | 0.079102 |
CREATE TABLE table_204_428 (id DECIMAL, "season" TEXT, "east superleague" TEXT, "east premier league" TEXT, "east region south division" TEXT, "east region central division" TEXT, "east region north division" TEXT)
| when was the last year bo ` ness united made the roll of honor for east superleague ? | SELECT "season" FROM table_204_428 WHERE "east superleague" = "bo'ness united" ORDER BY "season" DESC LIMIT 1 | SELECT "season" FROM "table_204_428" WHERE "bo'ness united" = "east superleague" ORDER BY "season" DESC NULLS LAST LIMIT 1 | 0.119141 |
CREATE TABLE table_48729 ("Total Points" FLOAT, "Score" TEXT, "Premiers" TEXT, "Runners Up" TEXT, "Details" TEXT)
| What was the score where the total points was 50? | SELECT "Score" FROM table_48729 WHERE "Total Points" = '50' | SELECT "Score" FROM "table_48729" WHERE "Total Points" = '50' | 0.05957 |
CREATE TABLE table_13737 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT)
| With the title 'Memories by Moonlight', and a less than 39 number in season, and a greater than 66 number in series, who was the written by? | SELECT "Written by" FROM table_13737 WHERE "No. in series" > '66' AND "No. in season" < '39' AND "Title" = 'memories by moonlight' | SELECT "Written by" FROM "table_13737" WHERE "No. in season" < '39' AND "No. in series" > '66' AND "Title" = 'memories by moonlight' | 0.128906 |
CREATE TABLE table_27293285_2 (points_against VARCHAR, points_for VARCHAR)
| How many points against did the club who had 353 points for have? | SELECT points_against FROM table_27293285_2 WHERE points_for = "353" | SELECT "points_against" FROM "table_27293285_2" WHERE "353" = "points_for" | 0.072266 |
CREATE TABLE table_name_75 (losses INT, goals_against VARCHAR, draws VARCHAR, club VARCHAR)
| Which Losses have Draws larger than 6, and a Club of cd mestalla, and Goals against larger than 44? | SELECT MIN(losses) FROM table_name_75 WHERE draws > 6 AND club = "cd mestalla" AND goals_against > 44 | SELECT MIN("losses") FROM "table_name_75" WHERE "cd mestalla" = "club" AND "draws" > 6 AND "goals_against" > 44 | 0.108398 |
CREATE TABLE table_8891 ("Position" FLOAT, "Name" TEXT, "Played" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Points" FLOAT)
| What is the sum of points with more than 5 losses and more than 14 played? | SELECT SUM("Points") FROM table_8891 WHERE "Lost" > '5' AND "Played" > '14' | SELECT SUM("Points") FROM "table_8891" WHERE "Lost" > '5' AND "Played" > '14' | 0.075195 |
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
| For those records from the products and each product's manufacturer, draw a bar chart about the distribution of founder and the sum of manufacturer , and group by attribute founder, and I want to sort X-axis in asc order. | SELECT Founder, SUM(Manufacturer) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder ORDER BY Founder | SELECT "Founder", SUM("Manufacturer") FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Founder" ORDER BY "Founder" NULLS FIRST | 0.172852 |
CREATE TABLE table_69582 ("Year" FLOAT, "Team" TEXT, "Chassis" TEXT, "Engine" TEXT, "Rank" TEXT, "Points" FLOAT)
| What are the average points for the Project Indy team that has the Ford xb engine? | SELECT AVG("Points") FROM table_69582 WHERE "Engine" = 'ford xb' AND "Team" = 'project indy' | SELECT AVG("Points") FROM "table_69582" WHERE "Engine" = 'ford xb' AND "Team" = 'project indy' | 0.091797 |
CREATE TABLE table_46344 ("Title" TEXT, "Release date" TEXT, "Format" TEXT, "Code" TEXT, "UK Singles Chart" TEXT, "US Modern Rock" TEXT, "Album" TEXT)
| What is the format of code pro-cd-4662? | SELECT "Format" FROM table_46344 WHERE "Code" = 'pro-cd-4662' | SELECT "Format" FROM "table_46344" WHERE "Code" = 'pro-cd-4662' | 0.061523 |
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
| For those employees who was hired before 2002-06-21, give me the comparison about the average of employee_id over the hire_date bin hire_date by weekday by a bar chart, and display Y-axis in descending order please. | SELECT HIRE_DATE, AVG(EMPLOYEE_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY AVG(EMPLOYEE_ID) DESC | SELECT "HIRE_DATE", AVG("EMPLOYEE_ID") FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' ORDER BY AVG("EMPLOYEE_ID") DESC NULLS LAST | 0.128906 |
CREATE TABLE table_206 ("Rnd" FLOAT, "Race" TEXT, "Date" TEXT, "Location" TEXT, "Pole Position" TEXT, "Fastest Lap" TEXT, "Race Winner" TEXT, "Constructor" TEXT, "Report" TEXT)
| What is the number of reports for the italian grand prix? | SELECT COUNT("Report") FROM table_206 WHERE "Race" = 'Italian Grand Prix' | SELECT COUNT("Report") FROM "table_206" WHERE "Race" = 'Italian Grand Prix' | 0.073242 |
CREATE TABLE table_name_4 (year INT, credit VARCHAR)
| What is the most recent year for an album listed with a piano credited? | SELECT MAX(year) FROM table_name_4 WHERE credit = "piano" | SELECT MAX("year") FROM "table_name_4" WHERE "credit" = "piano" | 0.061523 |
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
| what is the cheapest fare for a one way flight from BOSTON to ATLANTA | SELECT DISTINCT fare.fare_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, flight, flight_fare WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ATLANTA' AND fare.one_direction_cost = (SELECT MIN(FAREalias1.one_direction_cost) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, fare AS FAREalias1, flight AS FLIGHTalias1, flight_fare AS FLIGHT_FAREalias1 WHERE CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'BOSTON' AND CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'ATLANTA' AND FAREalias1.round_trip_required = 'NO' AND FLIGHT_FAREalias1.fare_id = FAREalias1.fare_id AND FLIGHTalias1.flight_id = FLIGHT_FAREalias1.flight_id AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) AND fare.round_trip_required = 'NO' AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code | WITH "_u_0" AS (SELECT MIN("FAREalias1"."one_direction_cost") FROM "airport_service" AS "AIRPORT_SERVICEalias2" JOIN "city" AS "CITYalias2" ON "AIRPORT_SERVICEalias2"."city_code" = "CITYalias2"."city_code" AND "CITYalias2"."city_name" = 'BOSTON' JOIN "flight" AS "FLIGHTalias1" ON "AIRPORT_SERVICEalias2"."airport_code" = "FLIGHTalias1"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICEalias3" ON "AIRPORT_SERVICEalias3"."airport_code" = "FLIGHTalias1"."to_airport" JOIN "flight_fare" AS "FLIGHT_FAREalias1" ON "FLIGHT_FAREalias1"."flight_id" = "FLIGHTalias1"."flight_id" JOIN "city" AS "CITYalias3" ON "AIRPORT_SERVICEalias3"."city_code" = "CITYalias3"."city_code" AND "CITYalias3"."city_name" = 'ATLANTA' JOIN "fare" AS "FAREalias1" ON "FAREalias1"."fare_id" = "FLIGHT_FAREalias1"."fare_id" AND "FAREalias1"."round_trip_required" = 'NO') SELECT DISTINCT "fare"."fare_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'BOSTON' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'ATLANTA' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" AND "fare"."round_trip_required" = 'NO' JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "fare"."one_direction_cost" | 1.545898 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| Bring me the procedure icd9 code and short title of the procedure for the patient with patient id 4333. | SELECT procedures.icd9_code, procedures.short_title FROM procedures WHERE procedures.subject_id = "4333" | SELECT "procedures"."icd9_code", "procedures"."short_title" FROM "procedures" WHERE "4333" = "procedures"."subject_id" | 0.115234 |
CREATE TABLE table_23761 ("Original No." FLOAT, "LNER No. ( Intermediate No. ) " TEXT, "BR No." FLOAT, "Name" TEXT, "Rebuild Date" TEXT, "Withdrawn" TEXT)
| what is the name for br no. 60501 | SELECT "Name" FROM table_23761 WHERE "BR No." = '60501' | SELECT "Name" FROM "table_23761" WHERE "BR No." = '60501' | 0.055664 |
CREATE TABLE table_17933600_2 (team VARCHAR, outgoing_manage VARCHAR)
| What team(s) had an outgoing manager of jo o alves? | SELECT team FROM table_17933600_2 WHERE outgoing_manage = "João Alves" | SELECT "team" FROM "table_17933600_2" WHERE "João Alves" = "outgoing_manage" | 0.074219 |
CREATE TABLE table_25741 ("Season" TEXT, "Oberbayern A" TEXT, "Oberbayern B" TEXT, "Niederbayern" TEXT, "Schwaben" TEXT, "Oberpfalz" TEXT)
| When tus rosenberg is the oberpfalz what is the oberbayern b? | SELECT "Oberbayern B" FROM table_25741 WHERE "Oberpfalz" = 'TuS Rosenberg' | SELECT "Oberbayern B" FROM "table_25741" WHERE "Oberpfalz" = 'TuS Rosenberg' | 0.074219 |
CREATE TABLE table_8626 ("Discipline" TEXT, "Championship" TEXT, "Circuit" TEXT, "Session" TEXT, "Cause" TEXT)
| What was the session at the circuit of autodrom most? | SELECT "Session" FROM table_8626 WHERE "Circuit" = 'autodrom most' | SELECT "Session" FROM "table_8626" WHERE "Circuit" = 'autodrom most' | 0.066406 |
CREATE TABLE table_204_913 (id DECIMAL, "#" DECIMAL, "date" TEXT, "venue" TEXT, "opponent" TEXT, "score" TEXT, "result" TEXT, "competition" TEXT)
| what was the next venue after colombo , sri lanka on march 28 ? | SELECT "venue" FROM table_204_913 WHERE "date" > (SELECT "date" FROM table_204_913 WHERE "venue" = 'colombo, sri lanka') ORDER BY "date" LIMIT 1 | SELECT "venue" FROM "table_204_913" WHERE "date" > (SELECT "date" FROM "table_204_913" WHERE "venue" = 'colombo, sri lanka') ORDER BY "date" NULLS FIRST LIMIT 1 | 0.15625 |
CREATE TABLE table_21968 ("Parish ( Prestegjeld ) " TEXT, "Sub-Parish ( Sokn ) " TEXT, "Church Name" TEXT, "Year Built" FLOAT, "Location of the Church" TEXT)
| Name the number of parish for vilnes kyrkje | SELECT COUNT("Parish (Prestegjeld)") FROM table_21968 WHERE "Church Name" = 'Vilnes kyrkje' | SELECT COUNT("Parish (Prestegjeld)") FROM "table_21968" WHERE "Church Name" = 'Vilnes kyrkje' | 0.09082 |
CREATE TABLE table_19576091_1 (venue VARCHAR, date VARCHAR)
| How many venues were there for the match on November 6? | SELECT COUNT(venue) FROM table_19576091_1 WHERE date = "November 6" | SELECT COUNT("venue") FROM "table_19576091_1" WHERE "November 6" = "date" | 0.071289 |
CREATE TABLE table_name_84 (year INT, pages VARCHAR)
| Tell me the sum of year for 244 pages | SELECT SUM(year) FROM table_name_84 WHERE pages = 244 | SELECT SUM("year") FROM "table_name_84" WHERE "pages" = 244 | 0.057617 |
CREATE TABLE table_69599 ("Event" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT, "Ranking" TEXT)
| What Gold has a Silver greater than 30 and a Total less than 107? | SELECT "Gold" FROM table_69599 WHERE "Silver" > '30' AND "Total" < '107' | SELECT "Gold" FROM "table_69599" WHERE "Silver" > '30' AND "Total" < '107' | 0.072266 |
CREATE TABLE table_204_994 (id DECIMAL, "date" TEXT, "time" TEXT, "opponent#" TEXT, "rank#" TEXT, "site" TEXT, "tv" TEXT, "result" TEXT, "attendance" DECIMAL)
| what is the difference in attendance between november 5 and november 25 | SELECT ABS((SELECT "attendance" FROM table_204_994 WHERE "date" = 'november 5') - (SELECT "attendance" FROM table_204_994 WHERE "date" = 'november 25')) | SELECT ABS((SELECT "attendance" FROM "table_204_994" WHERE "date" = 'november 5') - (SELECT "attendance" FROM "table_204_994" WHERE "date" = 'november 25')) | 0.152344 |
CREATE TABLE table_name_59 (county VARCHAR, built VARCHAR)
| Which county built a bridge in 1934? | SELECT county FROM table_name_59 WHERE built = "1934" | SELECT "county" FROM "table_name_59" WHERE "1934" = "built" | 0.057617 |
CREATE TABLE table_57661 ("Edition" FLOAT, "Zone" TEXT, "Round" TEXT, "Date" TEXT, "Against" TEXT, "Surface" TEXT, "Opponent" TEXT, "Outcome" TEXT, "Result" TEXT)
| What zone was the Semifinal game played against Israel with Anna Smashnova as the opponent? | SELECT "Zone" FROM table_57661 WHERE "Round" = 'semifinal' AND "Against" = 'israel' AND "Opponent" = 'anna smashnova' | SELECT "Zone" FROM "table_57661" WHERE "Against" = 'israel' AND "Opponent" = 'anna smashnova' AND "Round" = 'semifinal' | 0.116211 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| how many patients with black/cape verdean ethnicity were given the drug psyllium wafer? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "BLACK/CAPE VERDEAN" AND prescriptions.drug = "Psyllium Wafer" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Psyllium Wafer" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "BLACK/CAPE VERDEAN" = "demographic"."ethnicity" | 0.239258 |
CREATE TABLE table_22897453_1 (kr_narayanan__values_ VARCHAR, states VARCHAR)
| Name the k. r. narayanan values for pondicherry | SELECT kr_narayanan__values_ FROM table_22897453_1 WHERE states = "Pondicherry" | SELECT "kr_narayanan__values_" FROM "table_22897453_1" WHERE "Pondicherry" = "states" | 0.083008 |
CREATE TABLE table_1793 ("Position" FLOAT, "Club" TEXT, "Games played" FLOAT, "Wins" FLOAT, "Draws" FLOAT, "Loses" FLOAT, "Goals scored" FLOAT, "Goals conceded" FLOAT, "Points" FLOAT)
| List total loses forh the tauras taurag team. | SELECT COUNT("Loses") FROM table_1793 WHERE "Club" = 'Tauras Tauragė' | SELECT COUNT("Loses") FROM "table_1793" WHERE "Club" = 'Tauras Tauragė' | 0.069336 |
CREATE TABLE table_name_39 (season VARCHAR, games VARCHAR)
| What season has a Games listed of 10? | SELECT season FROM table_name_39 WHERE games = "10" | SELECT "season" FROM "table_name_39" WHERE "10" = "games" | 0.055664 |
CREATE TABLE table_1305 ("Date" TEXT, "Cover model" TEXT, "Centerfold model" TEXT, "Interview subject" TEXT, "20 Questions" TEXT, "Pictorials" TEXT)
| Who were the cover models in the edition that included Benicio Del Toro as the interview subject? | SELECT "Cover model" FROM table_1305 WHERE "Interview subject" = 'Benicio del Toro' | SELECT "Cover model" FROM "table_1305" WHERE "Interview subject" = 'Benicio del Toro' | 0.083008 |
CREATE TABLE table_name_26 (position VARCHAR, school_club_team_country VARCHAR)
| Name the position for the player that is from valparaiso | SELECT position FROM table_name_26 WHERE school_club_team_country = "valparaiso" | SELECT "position" FROM "table_name_26" WHERE "school_club_team_country" = "valparaiso" | 0.083984 |
CREATE TABLE table_name_60 (draws INT, result VARCHAR, losses VARCHAR)
| What is the smallest Draws with a Result of runner-up, and Losses larger than 1? | SELECT MIN(draws) FROM table_name_60 WHERE result = "runner-up" AND losses > 1 | SELECT MIN("draws") FROM "table_name_60" WHERE "losses" > 1 AND "result" = "runner-up" | 0.083984 |
CREATE TABLE table_name_84 (sydney VARCHAR, gold_coast VARCHAR, perth VARCHAR, adelaide VARCHAR)
| Which Sydney has a Perth of no, an Adelaide of yes, and a Gold Coast of no? | SELECT sydney FROM table_name_84 WHERE perth = "no" AND adelaide = "yes" AND gold_coast = "no" | SELECT "sydney" FROM "table_name_84" WHERE "adelaide" = "yes" AND "gold_coast" = "no" AND "no" = "perth" | 0.101563 |
CREATE TABLE aircraft (Description VARCHAR)
| List the description of all aircrafts. | SELECT Description FROM aircraft | SELECT "Description" FROM "aircraft" | 0.035156 |
CREATE TABLE table_name_33 (quarterback VARCHAR, team_wins VARCHAR, career_wins VARCHAR, teams VARCHAR)
| Which Seattle quarterback has more than 81 career wins and less than 70 team wins? | SELECT quarterback FROM table_name_33 WHERE career_wins > 81 AND teams = "seattle" AND team_wins < 70 | SELECT "quarterback" FROM "table_name_33" WHERE "career_wins" > 81 AND "seattle" = "teams" AND "team_wins" < 70 | 0.108398 |
CREATE TABLE table_35795 ("Position" FLOAT, "Team" TEXT, "Points" FLOAT, "Played" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Against" FLOAT, "Difference" TEXT)
| What is the lowest against value with less than 2 draws, 10 points, and less than 4 lost? | SELECT MIN("Against") FROM table_35795 WHERE "Drawn" < '2' AND "Points" = '10' AND "Lost" < '4' | SELECT MIN("Against") FROM "table_35795" WHERE "Drawn" < '2' AND "Lost" < '4' AND "Points" = '10' | 0.094727 |
CREATE TABLE table_10222 ("Date" TEXT, "Visitor" TEXT, "Score" TEXT, "Home" TEXT, "Leading scorer" TEXT, "Attendance" TEXT, "Record" TEXT, "Streak" TEXT)
| What is the record that has the Rose Garden 20,126 as the attendance? | SELECT "Record" FROM table_10222 WHERE "Attendance" = 'rose garden 20,126' | SELECT "Record" FROM "table_10222" WHERE "Attendance" = 'rose garden 20,126' | 0.074219 |
CREATE TABLE table_8940 ("Heat" FLOAT, "Lane" FLOAT, "Name" TEXT, "Country" TEXT, "Mark" TEXT)
| What is the most lanes used in races with more than 1 heat and a winning mark of 7.25? | SELECT MAX("Lane") FROM table_8940 WHERE "Heat" > '1' AND "Mark" = '7.25' | SELECT MAX("Lane") FROM "table_8940" WHERE "Heat" > '1' AND "Mark" = '7.25' | 0.073242 |
CREATE TABLE table_204_812 (id DECIMAL, "#" DECIMAL, "prime minister" TEXT, "date of birth" TEXT, "start date\ of ( first ) term" TEXT, "age at beginning\ of ( first ) term" TEXT, "end date\ of ( final ) term" TEXT, "total time in\ office" TEXT, "date of death" TEXT, "lifespan" TEXT)
| which prime minister spent the shortest total time in office ? | SELECT "prime minister" FROM table_204_812 ORDER BY "total time in\noffice" LIMIT 1 | SELECT "prime minister" FROM "table_204_812" ORDER BY "total time in\noffice" NULLS FIRST LIMIT 1 | 0.094727 |
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
| For those records from the products and each product's manufacturer, show me about the distribution of founder and the sum of price , and group by attribute founder in a bar chart, could you order names from low to high order? | SELECT Founder, SUM(Price) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder ORDER BY Founder | SELECT "Founder", SUM("Price") FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Founder" ORDER BY "Founder" NULLS FIRST | 0.166016 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
| What is the number of patients younger than 31 with a diagnoses icd9 code 70721? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "31" AND diagnoses.icd9_code = "70721" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "70721" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "31" > "demographic"."age" | 0.202148 |
CREATE TABLE table_23284271_11 (location_attendance VARCHAR, high_points VARCHAR)
| Name the location attendance for dirk nowitzki , caron butler (17) | SELECT location_attendance FROM table_23284271_11 WHERE high_points = "Dirk Nowitzki , Caron Butler (17)" | SELECT "location_attendance" FROM "table_23284271_11" WHERE "Dirk Nowitzki , Caron Butler (17)" = "high_points" | 0.108398 |
CREATE TABLE table_29169 ("Team" TEXT, "Outgoing manager" TEXT, "Manner of departure" TEXT, "Date of vacancy" TEXT, "Incoming manager" TEXT, "Date of appointment" TEXT)
| What is the date of appointment for the date of vacancy of 22 august 2010? | SELECT "Date of appointment" FROM table_29169 WHERE "Date of vacancy" = '22 August 2010' | SELECT "Date of appointment" FROM "table_29169" WHERE "Date of vacancy" = '22 August 2010' | 0.087891 |
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
| Can I take 312 as an undergrad ? | SELECT DISTINCT advisory_requirement, enforced_requirement, name FROM course WHERE department = 'EECS' AND number = 312 | SELECT DISTINCT "advisory_requirement", "enforced_requirement", "name" FROM "course" WHERE "department" = 'EECS' AND "number" = 312 | 0.12793 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
| how many of the patients with sepsis as primary disease had icd9 code 9960? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.diagnosis = "SEPSIS" AND procedures.icd9_code = "9960" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "9960" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "SEPSIS" = "demographic"."diagnosis" | 0.213867 |
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
| what is the average total cost of a hospital which involves the reticulocyte count, manual in the previous year? | SELECT AVG(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.hadm_id IN (SELECT labevents.hadm_id FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'reticulocyte count, manual')) AND DATETIME(cost.chargetime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY cost.hadm_id) AS t1 | WITH "_u_0" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'reticulocyte count, manual' GROUP BY "itemid"), "_u_1" AS (SELECT "labevents"."hadm_id" FROM "labevents" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "labevents"."itemid" WHERE NOT "_u_0"."" IS NULL GROUP BY "hadm_id"), "t1" AS (SELECT SUM("cost"."cost") AS "c1" FROM "cost" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "cost"."hadm_id" WHERE DATETIME("cost"."chargetime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_1"."" IS NULL GROUP BY "cost"."hadm_id") SELECT AVG("t1"."c1") FROM "t1" AS "t1" | 0.609375 |
CREATE TABLE table_41316 ("Tie no" TEXT, "Home team" TEXT, "Score" TEXT, "Away team" TEXT, "Attendance" FLOAT)
| What was the score at the Tie no. 1 game? | SELECT "Score" FROM table_41316 WHERE "Tie no" = '1' | SELECT "Score" FROM "table_41316" WHERE "Tie no" = '1' | 0.052734 |
CREATE TABLE table_name_2 (city VARCHAR, stadium VARCHAR)
| What city is Gwang-Yang stadium in? | SELECT city FROM table_name_2 WHERE stadium = "gwang-yang stadium" | SELECT "city" FROM "table_name_2" WHERE "gwang-yang stadium" = "stadium" | 0.070313 |
CREATE TABLE table_9159 ("Rank" FLOAT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the maximum rank when there is 0 gold, and the bronze is less than 4, and the silver is greater than 1, and 2 as the total? | SELECT MAX("Rank") FROM table_9159 WHERE "Gold" = '0' AND "Bronze" < '4' AND "Total" = '2' AND "Silver" > '1' | SELECT MAX("Rank") FROM "table_9159" WHERE "Bronze" < '4' AND "Gold" = '0' AND "Silver" > '1' AND "Total" = '2' | 0.108398 |
CREATE TABLE table_204_642 (id DECIMAL, "team" TEXT, "domestic tournament" TEXT, "position" TEXT, "appearance" TEXT, "qualified" TEXT)
| what is the total number of teams that qualified ? | SELECT COUNT("team") FROM table_204_642 | SELECT COUNT("team") FROM "table_204_642" | 0.040039 |
CREATE TABLE table_52280 ("Years" TEXT, "Winners" TEXT, "Runners-Up" TEXT, "Score" TEXT, "Third" TEXT)
| Who was the winner in the competition in which Lyn took third place and Lillestr m was the runner-up? | SELECT "Winners" FROM table_52280 WHERE "Runners-Up" = 'lillestrøm' AND "Third" = 'lyn' | SELECT "Winners" FROM "table_52280" WHERE "Runners-Up" = 'lillestrøm' AND "Third" = 'lyn' | 0.086914 |
CREATE TABLE machine (Machine_ID INT, Making_Year INT, Class TEXT, Team TEXT, Machine_series TEXT, value_points FLOAT, quality_rank INT)
CREATE TABLE repair (repair_ID INT, name TEXT, Launch_Date TEXT, Notes TEXT)
CREATE TABLE repair_assignment (technician_id INT, repair_ID INT, Machine_ID INT)
CREATE TABLE technician (technician_id FLOAT, Name TEXT, Team TEXT, Starting_Year FLOAT, Age INT)
| What is the name of the technician whose team is not 'NYY', and count them by a bar chart, could you show bar in asc order? | SELECT Name, COUNT(Name) FROM technician WHERE Team <> "NYY" GROUP BY Name ORDER BY Name | SELECT "Name", COUNT("Name") FROM "technician" WHERE "NYY" <> "Team" GROUP BY "Name" ORDER BY "Name" NULLS FIRST | 0.109375 |
CREATE TABLE table_10776 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Attendance" FLOAT)
| What is the week 12 result? | SELECT "Result" FROM table_10776 WHERE "Week" = '12' | SELECT "Result" FROM "table_10776" WHERE "Week" = '12' | 0.052734 |
CREATE TABLE county_public_safety (County_ID INT, Name TEXT, Population INT, Police_officers INT, Residents_per_officer INT, Case_burden INT, Crime_rate FLOAT, Police_force TEXT, Location TEXT)
CREATE TABLE city (City_ID INT, County_ID INT, Name TEXT, White FLOAT, Black FLOAT, Amerindian FLOAT, Asian FLOAT, Multiracial FLOAT, Hispanic FLOAT)
| Display a bar chart for how many counties correspond to each police force?, show by the names in desc. | SELECT Police_force, COUNT(*) FROM county_public_safety GROUP BY Police_force ORDER BY Police_force DESC | SELECT "Police_force", COUNT(*) FROM "county_public_safety" GROUP BY "Police_force" ORDER BY "Police_force" DESC NULLS LAST | 0.120117 |
CREATE TABLE table_name_31 (current_club VARCHAR, height VARCHAR, year_born VARCHAR)
| What player was born in 1978 and smaller than 1.92? | SELECT current_club FROM table_name_31 WHERE height < 1.92 AND year_born > 1978 | SELECT "current_club" FROM "table_name_31" WHERE "height" < 1.92 AND "year_born" > 1978 | 0.084961 |
CREATE TABLE table_32586 ("Round" FLOAT, "Overall" FLOAT, "Player" TEXT, "Position" TEXT, "School/Club Team" TEXT)
| What is the highest overall rank of any Tennessee State player drafted before round 10? | SELECT MIN("Overall") FROM table_32586 WHERE "School/Club Team" = 'tennessee state' AND "Round" < '10' | SELECT MIN("Overall") FROM "table_32586" WHERE "Round" < '10' AND "School/Club Team" = 'tennessee state' | 0.101563 |
CREATE TABLE table_name_76 (reserved_for___sc___st__none_ VARCHAR, constituency_number VARCHAR)
| What is the reserved for value for constituency number 132? | SELECT reserved_for___sc___st__none_ FROM table_name_76 WHERE constituency_number = "132" | SELECT "reserved_for___sc___st__none_" FROM "table_name_76" WHERE "132" = "constituency_number" | 0.092773 |
CREATE TABLE table_name_73 (high_assists VARCHAR, team VARCHAR)
| Who had the most high assists from Milwaukee? | SELECT high_assists FROM table_name_73 WHERE team = "milwaukee" | SELECT "high_assists" FROM "table_name_73" WHERE "milwaukee" = "team" | 0.067383 |
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
| For those employees who was hired before 2002-06-21, return a bar chart about the distribution of job_id and the sum of salary , and group by attribute job_id. | SELECT JOB_ID, SUM(SALARY) FROM employees WHERE HIRE_DATE < '2002-06-21' GROUP BY JOB_ID | SELECT "JOB_ID", SUM("SALARY") FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' GROUP BY "JOB_ID" | 0.095703 |
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
| TOP 100 stackoverflow users from kerala, INDIA. | SELECT Id, DisplayName, Reputation, WebsiteUrl, Location, EmailHash FROM Users WHERE Location LIKE '%Karnataka%' ORDER BY Reputation DESC LIMIT 100 | SELECT "Id", "DisplayName", "Reputation", "WebsiteUrl", "Location", "EmailHash" FROM "Users" WHERE "Location" LIKE '%Karnataka%' ORDER BY "Reputation" DESC NULLS LAST LIMIT 100 | 0.171875 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| calculate the average age of patients who were admitted in emergency room for s/p hanging. | SELECT AVG(demographic.age) FROM demographic WHERE demographic.admission_location = "EMERGENCY ROOM ADMIT" AND demographic.diagnosis = "S/P HANGING" | SELECT AVG("demographic"."age") FROM "demographic" WHERE "EMERGENCY ROOM ADMIT" = "demographic"."admission_location" AND "S/P HANGING" = "demographic"."diagnosis" | 0.158203 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| how many patients aged below 55 had venous catheterization, not elsewhere classified? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.age < "55" AND procedures.long_title = "Venous catheterization, not elsewhere classified" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Venous catheterization, not elsewhere classified" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "55" > "demographic"."age" | 0.248047 |
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