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CREATE TABLE Documents_to_be_Destroyed (Document_ID NUMBER, Destruction_Authorised_by_Employee_ID NUMBER, Destroyed_by_Employee_ID NUMBER, Planned_Destruction_Date DATETIME, Actual_Destruction_Date DATETIME, Other_Details VARCHAR2)
CREATE TABLE Employees (Employee_ID NUMBER, Role_Code CHAR, Employee_Name VARCHAR2, Gender_MFU CHAR, Date_of_Birth DATETIME, Other_Details VARCHAR2)
CREATE TABLE Ref_Document_Types (Document_Type_Code CHAR, Document_Type_Name VARCHAR2, Document_Type_Description VARCHAR2)
CREATE TABLE Ref_Locations (Location_Code CHAR, Location_Name VARCHAR2, Location_Description VARCHAR2)
CREATE TABLE Ref_Calendar (Calendar_Date DATETIME, Day_Number NUMBER)
CREATE TABLE Roles (Role_Code CHAR, Role_Name VARCHAR2, Role_Description VARCHAR2)
CREATE TABLE All_Documents (Document_ID NUMBER, Date_Stored DATETIME, Document_Type_Code CHAR, Document_Name CHAR, Document_Description CHAR, Other_Details VARCHAR2)
CREATE TABLE Document_Locations (Document_ID NUMBER, Location_Code CHAR, Date_in_Location_From DATETIME, Date_in_Locaton_To DATETIME)
| Show all calendar dates and bin by year in a line chart. | SELECT Calendar_Date, COUNT(Calendar_Date) FROM Ref_Calendar | SELECT "Calendar_Date", COUNT("Calendar_Date") FROM "Ref_Calendar" | 0.064453 |
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
| For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about salary over the job_id , rank by the Y-axis in ascending. | SELECT JOB_ID, SALARY FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY SALARY | SELECT "JOB_ID", "SALARY" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "SALARY" | 0.178711 |
CREATE TABLE list (lastname CLOB, firstname CLOB, grade NUMBER, classroom NUMBER)
CREATE TABLE teachers (lastname CLOB, firstname CLOB, classroom NUMBER)
| Find the last names of students studying in room 111. | SELECT lastname FROM list WHERE classroom = 111 | SELECT "lastname" FROM "list" WHERE "classroom" = 111 | 0.051758 |
CREATE TABLE table_name_23 (celebrity VARCHAR2, famous_for VARCHAR2)
| Which celebrity was famous for being a rapper? | SELECT celebrity FROM table_name_23 WHERE famous_for = "rapper" | SELECT "celebrity" FROM "table_name_23" WHERE "famous_for" = "rapper" | 0.067383 |
CREATE TABLE table_204_258 (id NUMBER, "location" CLOB, "frequency" NUMBER, "call sign" CLOB, "network" CLOB, "call sign meaning" CLOB)
| what is the next call sign listed after kdsu ? | SELECT "call sign" FROM table_204_258 WHERE id = (SELECT id FROM table_204_258 WHERE "call sign" = 'kdsu') + 1 | SELECT "call sign" FROM "table_204_258" WHERE "id" = (SELECT "id" FROM "table_204_258" WHERE "call sign" = 'kdsu') + 1 | 0.115234 |
CREATE TABLE table_74018 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" CLOB, "Result" CLOB, "Candidates" CLOB)
| What is the district for the party federalist and the candidates are william craik (f) 51.0% benjamin edwards 49.0%? | SELECT "District" FROM table_74018 WHERE "Party" = 'Federalist' AND "Candidates" = 'William Craik (F) 51.0% Benjamin Edwards 49.0%' | SELECT "District" FROM "table_74018" WHERE "Candidates" = 'William Craik (F) 51.0% Benjamin Edwards 49.0%' AND "Party" = 'Federalist' | 0.129883 |
CREATE TABLE AssignedTo (Scientist NUMBER, Project CHAR)
CREATE TABLE Projects (Code CHAR, Name CHAR, Hours NUMBER)
CREATE TABLE Scientists (SSN NUMBER, Name CHAR)
| what are the names of projects that require more than 300 hours, and how many scientists are assigned to each?, list by the Y-axis in asc please. | SELECT Name, COUNT(*) FROM Projects AS T1 JOIN AssignedTo AS T2 ON T1.Code = T2.Project WHERE T1.Hours > 300 GROUP BY T1.Name ORDER BY COUNT(*) | SELECT "Name", COUNT(*) FROM "Projects" "T1" JOIN "AssignedTo" "T2" ON "T1"."Code" = "T2"."Project" WHERE "T1"."Hours" > 300 GROUP BY "T1"."Name" ORDER BY COUNT(*) | 0.15918 |
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE 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 transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE 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 labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| patient 10811's arterial bp mean was normal? | SELECT COUNT(*) > 0 FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 10811)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp mean' AND d_items.linksto = 'chartevents') AND chartevents.valuenum BETWEEN mean_bp_lower AND mean_bp_upper | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 10811 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'arterial bp mean' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT COUNT(*) > 0 FROM "chartevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE "chartevents"."valuenum" <= "mean_bp_upper" AND "chartevents"."valuenum" >= "mean_bp_lower" AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL | 0.749023 |
CREATE TABLE paperfield (fieldid NUMBER, paperid NUMBER)
CREATE TABLE paperdataset (paperid NUMBER, datasetid NUMBER)
CREATE TABLE paper (paperid NUMBER, title VARCHAR2, venueid NUMBER, year NUMBER, numciting NUMBER, numcitedby NUMBER, journalid NUMBER)
CREATE TABLE writes (paperid NUMBER, authorid NUMBER)
CREATE TABLE journal (journalid NUMBER, journalname VARCHAR2)
CREATE TABLE cite (citingpaperid NUMBER, citedpaperid NUMBER)
CREATE TABLE paperkeyphrase (paperid NUMBER, keyphraseid NUMBER)
CREATE TABLE keyphrase (keyphraseid NUMBER, keyphrasename VARCHAR2)
CREATE TABLE author (authorid NUMBER, authorname VARCHAR2)
CREATE TABLE field (fieldid NUMBER)
CREATE TABLE dataset (datasetid NUMBER, datasetname VARCHAR2)
CREATE TABLE venue (venueid NUMBER, venuename VARCHAR2)
| How many papers has Jeffrey Heer ? | SELECT DISTINCT COUNT(DISTINCT writes.paperid) FROM author, writes WHERE author.authorname = 'Jeffrey Heer' AND writes.authorid = author.authorid | SELECT DISTINCT COUNT(DISTINCT "writes"."paperid") FROM "author" JOIN "writes" ON "author"."authorid" = "writes"."authorid" WHERE "author"."authorname" = 'Jeffrey Heer' | 0.164063 |
CREATE TABLE paper (paperid NUMBER, title VARCHAR2, venueid NUMBER, year NUMBER, numciting NUMBER, numcitedby NUMBER, journalid NUMBER)
CREATE TABLE field (fieldid NUMBER)
CREATE TABLE keyphrase (keyphraseid NUMBER, keyphrasename VARCHAR2)
CREATE TABLE journal (journalid NUMBER, journalname VARCHAR2)
CREATE TABLE dataset (datasetid NUMBER, datasetname VARCHAR2)
CREATE TABLE paperdataset (paperid NUMBER, datasetid NUMBER)
CREATE TABLE paperfield (fieldid NUMBER, paperid NUMBER)
CREATE TABLE paperkeyphrase (paperid NUMBER, keyphraseid NUMBER)
CREATE TABLE cite (citingpaperid NUMBER, citedpaperid NUMBER)
CREATE TABLE author (authorid NUMBER, authorname VARCHAR2)
CREATE TABLE venue (venueid NUMBER, venuename VARCHAR2)
CREATE TABLE writes (paperid NUMBER, authorid NUMBER)
| Who wrote Blink ? | SELECT DISTINCT author.authorname FROM author, keyphrase, paperkeyphrase, writes WHERE keyphrase.keyphrasename LIKE 'Blink' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND writes.authorid = author.authorid AND writes.paperid = paperkeyphrase.paperid | SELECT DISTINCT "author"."authorname" FROM "author" JOIN "keyphrase" ON "keyphrase"."keyphrasename" LIKE 'Blink' JOIN "paperkeyphrase" ON "keyphrase"."keyphraseid" = "paperkeyphrase"."keyphraseid" JOIN "writes" ON "author"."authorid" = "writes"."authorid" AND "paperkeyphrase"."paperid" = "writes"."paperid" | 0.299805 |
CREATE TABLE table_name_38 (date_of_registration VARCHAR2, province VARCHAR2, party VARCHAR2)
| When was the Partido radical party in Madrid registered? | SELECT date_of_registration FROM table_name_38 WHERE province = "madrid" AND party = "partido radical" | SELECT "date_of_registration" FROM "table_name_38" WHERE "madrid" = "province" AND "partido radical" = "party" | 0.107422 |
CREATE TABLE table_203_171 (id NUMBER, "place\ ( posicion ) " NUMBER, "team\ ( equipo ) " CLOB, "played\ ( pj ) " NUMBER, "won\ ( pg ) " NUMBER, "draw\ ( pe ) " NUMBER, "lost\ ( pp ) " NUMBER, "goals scored\ ( gf ) " NUMBER, "goals conceded\ ( gc ) " NUMBER, "+/-\ ( dif. ) " NUMBER, "points\ ( pts. ) " NUMBER)
| which team gave up the most goals ? | SELECT "team\n(equipo)" FROM table_203_171 ORDER BY "goals conceded\n(gc)" DESC LIMIT 1 | SELECT "team\n(equipo)" FROM "table_203_171" ORDER BY "goals conceded\n(gc)" DESC FETCH FIRST 1 ROWS ONLY | 0.102539 |
CREATE TABLE table_name_83 (gymnast VARCHAR2, floor VARCHAR2)
| Who is the gymnast with a floor score of 14.800? | SELECT gymnast FROM table_name_83 WHERE floor = "14.800" | SELECT "gymnast" FROM "table_name_83" WHERE "14.800" = "floor" | 0.060547 |
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 allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
| until 4 years ago, what were the top four most frequently diagnosed diagnoses that patients were diagnosed with within 2 months after being diagnosed with cerebral subdural hematoma - secondary to trauma? | SELECT t3.diagnosisname FROM (SELECT t2.diagnosisname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'cerebral subdural hematoma - secondary to trauma' AND DATETIME(diagnosis.diagnosistime) <= DATETIME(CURRENT_TIME(), '-4 year')) AS t1 JOIN (SELECT patient.uniquepid, diagnosis.diagnosisname, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE DATETIME(diagnosis.diagnosistime) <= DATETIME(CURRENT_TIME(), '-4 year')) AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.diagnosistime < t2.diagnosistime AND DATETIME(t2.diagnosistime) BETWEEN DATETIME(t1.diagnosistime) AND DATETIME(t1.diagnosistime, '+2 month') GROUP BY t2.diagnosisname) AS t3 WHERE t3.c1 <= 4 | WITH "t2" AS (SELECT "patient"."uniquepid", "diagnosis"."diagnosisname", "diagnosis"."diagnosistime" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" WHERE DATETIME("diagnosis"."diagnosistime") <= DATETIME(CURRENT_TIME(), '-4 year')), "t3" AS (SELECT "t2"."diagnosisname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" JOIN "t2" "t2" ON "diagnosis"."diagnosistime" < "t2"."diagnosistime" AND "patient"."uniquepid" = "t2"."uniquepid" AND DATETIME("diagnosis"."diagnosistime") <= DATETIME("t2"."diagnosistime") AND DATETIME("diagnosis"."diagnosistime", '+2 month') >= DATETIME("t2"."diagnosistime") WHERE "diagnosis"."diagnosisname" = 'cerebral subdural hematoma - secondary to trauma' AND DATETIME("diagnosis"."diagnosistime") <= DATETIME(CURRENT_TIME(), '-4 year') GROUP BY "t2"."diagnosisname") SELECT "t3"."diagnosisname" FROM "t3" "t3" WHERE "t3"."c1" <= 4 | 0.989258 |
CREATE TABLE table_72162 ("Character" CLOB, "Fate" CLOB, "Actor" CLOB, "First Episode" CLOB, "Final Episode" CLOB, "Duration" CLOB, "Final Episode Count" FLOAT)
| what's the total number of final epbeingode count with first epbeingode being 'l.a. | SELECT COUNT("Final Episode Count") FROM table_72162 WHERE "First Episode" = 'L.A.' | SELECT COUNT("Final Episode Count") FROM "table_72162" WHERE "First Episode" = 'L.A.' | 0.083008 |
CREATE TABLE files (f_id NUMBER, artist_name CLOB, file_size CLOB, duration CLOB, formats CLOB)
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)
| What are the maximum duration and resolution of all songs, for each language, ordered alphabetically by language? | SELECT MAX(T1.duration), MAX(T2.resolution), T2.languages FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id GROUP BY T2.languages ORDER BY T2.languages | SELECT MAX("T1"."duration"), MAX("T2"."resolution"), "T2"."languages" FROM "files" "T1" JOIN "song" "T2" ON "T1"."f_id" = "T2"."f_id" GROUP BY "T2"."languages" ORDER BY "T2"."languages" | 0.180664 |
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 microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
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 cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
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)
| what was the first time patient 013-27480 had been tested for lab tests in 05/2105? | SELECT lab.labresulttime FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '013-27480')) AND STRFTIME('%y-%m', lab.labresulttime) = '2105-05' ORDER BY lab.labresulttime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '013-27480' 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 "lab"."labresulttime" FROM "lab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m', "lab"."labresulttime") = '2105-05' ORDER BY "lab"."labresulttime" FETCH FIRST 1 ROWS ONLY | 0.584961 |
CREATE TABLE table_61907 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| Who is the player with a score of 70-68-70=208? | SELECT "Player" FROM table_61907 WHERE "Score" = '70-68-70=208' | SELECT "Player" FROM "table_61907" WHERE "Score" = '70-68-70=208' | 0.063477 |
CREATE TABLE table_14696 ("Name" CLOB, "Years" CLOB, "Area" CLOB, "Authority" CLOB, "Decile" FLOAT, "Roll" FLOAT)
| What is the average decile of Westport South School? | SELECT AVG("Decile") FROM table_14696 WHERE "Name" = 'westport south school' | SELECT AVG("Decile") FROM "table_14696" WHERE "Name" = 'westport south school' | 0.076172 |
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE 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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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 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_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
| how many hours have it been since the admission to the icu of patient 49176? | SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', icustays.intime)) FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 49176) AND icustays.outtime IS NULL | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 49176 GROUP BY "hadm_id") SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "icustays"."intime")) FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE "icustays"."outtime" IS NULL AND NOT "_u_0"."" IS NULL | 0.334961 |
CREATE TABLE table_32406 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| How many people were in the crowd at Victoria Park? | SELECT COUNT("Crowd") FROM table_32406 WHERE "Venue" = 'victoria park' | SELECT COUNT("Crowd") FROM "table_32406" WHERE "Venue" = 'victoria park' | 0.070313 |
CREATE TABLE table_name_13 (chassis VARCHAR2, drivers VARCHAR2)
| What chassis does Gary Bettenhausen use? | SELECT chassis FROM table_name_13 WHERE drivers = "gary bettenhausen" | SELECT "chassis" FROM "table_name_13" WHERE "drivers" = "gary bettenhausen" | 0.073242 |
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
| For those employees who do not work in departments with managers that have ids between 100 and 200, a bar chart shows the distribution of hire_date and the sum of salary bin hire_date by weekday. | SELECT HIRE_DATE, SUM(SALARY) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) | SELECT "HIRE_DATE", SUM("SALARY") FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) | 0.168945 |
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
| For those employees who do not work in departments with managers that have ids between 100 and 200, show me about the distribution of phone_number and manager_id in a bar chart, sort MANAGER_ID from high to low order. | SELECT PHONE_NUMBER, MANAGER_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY MANAGER_ID DESC | SELECT "PHONE_NUMBER", "MANAGER_ID" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "MANAGER_ID" DESC | 0.197266 |
CREATE TABLE Person (name VARCHAR2, age NUMBER, city CLOB, gender CLOB, job CLOB)
CREATE TABLE PersonFriend (name VARCHAR2, friend VARCHAR2, year NUMBER)
| Bar graph to show the average of age from different 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 table_name_45 (Id VARCHAR2)
| What's the 2010 when Q2 happened in 2011? | SELECT 2010 FROM table_name_45 WHERE 2011 = "q2" | SELECT 2010 FROM "table_name_45" WHERE "q2" = 2011 | 0.048828 |
CREATE TABLE maintenance_engineers (engineer_id NUMBER, company_id NUMBER, first_name CLOB, last_name CLOB, other_details CLOB)
CREATE TABLE engineer_visits (engineer_visit_id NUMBER, contact_staff_id NUMBER, engineer_id NUMBER, fault_log_entry_id NUMBER, fault_status CLOB, visit_start_datetime TIME, visit_end_datetime TIME, other_visit_details CLOB)
CREATE TABLE parts (part_id NUMBER, part_name CLOB, chargeable_yn CLOB, chargeable_amount CLOB, other_part_details CLOB)
CREATE TABLE assets (asset_id NUMBER, maintenance_contract_id NUMBER, supplier_company_id NUMBER, asset_details CLOB, asset_make CLOB, asset_model CLOB, asset_acquired_date TIME, asset_disposed_date TIME, other_asset_details CLOB)
CREATE TABLE fault_log (fault_log_entry_id NUMBER, asset_id NUMBER, recorded_by_staff_id NUMBER, fault_log_entry_datetime TIME, fault_description CLOB, other_fault_details CLOB)
CREATE TABLE skills (skill_id NUMBER, skill_code CLOB, skill_description CLOB)
CREATE TABLE engineer_skills (engineer_id NUMBER, skill_id NUMBER)
CREATE TABLE asset_parts (asset_id NUMBER, part_id NUMBER)
CREATE TABLE staff (staff_id NUMBER, staff_name CLOB, gender CLOB, other_staff_details CLOB)
CREATE TABLE part_faults (part_fault_id NUMBER, part_id NUMBER, fault_short_name CLOB, fault_description CLOB, other_fault_details CLOB)
CREATE TABLE third_party_companies (company_id NUMBER, company_type CLOB, company_name CLOB, company_address CLOB, other_company_details CLOB)
CREATE TABLE fault_log_parts (fault_log_entry_id NUMBER, part_fault_id NUMBER, fault_status CLOB)
CREATE TABLE maintenance_contracts (maintenance_contract_id NUMBER, maintenance_contract_company_id NUMBER, contract_start_date TIME, contract_end_date TIME, other_contract_details CLOB)
CREATE TABLE skills_required_to_fix (part_fault_id NUMBER, skill_id NUMBER)
| Which staff have contacted which engineers? List the staff name and the engineer first name and last name. | SELECT T1.staff_name, T3.first_name, T3.last_name FROM staff AS T1 JOIN engineer_visits AS T2 ON T1.staff_id = T2.contact_staff_id JOIN maintenance_engineers AS T3 ON T2.engineer_id = T3.engineer_id | SELECT "T1"."staff_name", "T3"."first_name", "T3"."last_name" FROM "staff" "T1" JOIN "engineer_visits" "T2" ON "T1"."staff_id" = "T2"."contact_staff_id" JOIN "maintenance_engineers" "T3" ON "T2"."engineer_id" = "T3"."engineer_id" | 0.223633 |
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE 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 allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
| what is the yearly maximum amount of output (ml)-urethral catheter straight-tip 16 fr. that patient 015-94542 had until 1624 days ago? | SELECT MAX(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '015-94542')) AND intakeoutput.celllabel = 'output (ml)-urethral catheter straight-tip 16 fr.' AND intakeoutput.cellpath LIKE '%output%' AND DATETIME(intakeoutput.intakeoutputtime) <= DATETIME(CURRENT_TIME(), '-1624 day') GROUP BY STRFTIME('%y', intakeoutput.intakeoutputtime) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '015-94542' 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 MAX("intakeoutput"."cellvaluenumeric") FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'output (ml)-urethral catheter straight-tip 16 fr.' AND "intakeoutput"."cellpath" LIKE '%output%' AND DATETIME("intakeoutput"."intakeoutputtime") <= DATETIME(CURRENT_TIME(), '-1624 day') AND NOT "_u_1"."" IS NULL GROUP BY STRFTIME('%y', "intakeoutput"."intakeoutputtime") | 0.782227 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
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)
| give the number of patients who were diagnosed with personal history of colonic polyps and lab test result is abnormal. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.long_title = "Personal history of colonic polyps" AND lab.flag = "abnormal" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Personal history of colonic polyps" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "abnormal" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.283203 |
CREATE TABLE table_5904 ("Date" CLOB, "Time" CLOB, "Score" CLOB, "Set 1" CLOB, "Set 2" CLOB, "Set 3" CLOB, "Total" CLOB)
| Which Score has a Set 2 of 25 17, and a Time of 16:00? | SELECT "Score" FROM table_5904 WHERE "Set 2" = '25–17' AND "Time" = '16:00' | SELECT "Score" FROM "table_5904" WHERE "Set 2" = '25–17' AND "Time" = '16:00' | 0.075195 |
CREATE TABLE table_name_19 (state VARCHAR2, preliminary VARCHAR2, swimsuit VARCHAR2, evening_gown VARCHAR2)
| What state has a swimsuit less than 9.277, gown more than 8.944 and preliminary greater than 8.483? | SELECT state FROM table_name_19 WHERE swimsuit < 9.277 AND evening_gown > 8.944 AND preliminary < 8.483 | SELECT "state" FROM "table_name_19" WHERE "evening_gown" > 8.944 AND "preliminary" < 8.483 AND "swimsuit" < 9.277 | 0.110352 |
CREATE TABLE table_11654 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What was the away score at the game at MCG? | SELECT "Away team score" FROM table_11654 WHERE "Venue" = 'mcg' | SELECT "Away team score" FROM "table_11654" WHERE "Venue" = 'mcg' | 0.063477 |
CREATE TABLE table_48330 ("Model Number" CLOB, "Clock Speed" CLOB, "L2 Cache" CLOB, "FSB Speed" CLOB, "Clock Multiplier" CLOB, "Voltage Range" CLOB, "Socket" CLOB, "Release Date" CLOB)
| Which Socket has a FSB Speed of 400 mhz, and a Voltage Range of 1.004 v? | SELECT "Socket" FROM table_48330 WHERE "FSB Speed" = '400 mhz' AND "Voltage Range" = '1.004 v' | SELECT "Socket" FROM "table_48330" WHERE "FSB Speed" = '400 mhz' AND "Voltage Range" = '1.004 v' | 0.09375 |
CREATE TABLE player (Player VARCHAR2, Years_Played VARCHAR2, Team VARCHAR2)
CREATE TABLE team (Team_id VARCHAR2, Name VARCHAR2)
| Show the players and years played for players from team 'Columbus Crew'. | SELECT T1.Player, T1.Years_Played FROM player AS T1 JOIN team AS T2 ON T1.Team = T2.Team_id WHERE T2.Name = "Columbus Crew" | SELECT "T1"."Player", "T1"."Years_Played" FROM "player" "T1" JOIN "team" "T2" ON "Columbus Crew" = "T2"."Name" AND "T1"."Team" = "T2"."Team_id" | 0.139648 |
CREATE TABLE table_204_81 (id NUMBER, "rank" NUMBER, "bib" NUMBER, "name" CLOB, "country" CLOB, "time" CLOB, "deficit" CLOB)
| how many skiers represented norway in the men 's 15 kilometre classical ? | SELECT COUNT("name") FROM table_204_81 WHERE "country" = 'norway' | SELECT COUNT("name") FROM "table_204_81" WHERE "country" = 'norway' | 0.06543 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| what is the number of patients whose ethnicity is black/haitian and lab test name is plasma cells? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.ethnicity = "BLACK/HAITIAN" AND lab.label = "Plasma Cells" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Plasma Cells" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "BLACK/HAITIAN" = "demographic"."ethnicity" | 0.204102 |
CREATE TABLE Invoice_Items (Invoice_Item_ID NUMBER, Invoice_ID NUMBER, Order_ID NUMBER, Order_Item_ID NUMBER, Product_ID NUMBER, Order_Quantity NUMBER, Other_Item_Details VARCHAR2)
CREATE TABLE Performers_in_Bookings (Order_ID NUMBER, Performer_ID NUMBER)
CREATE TABLE Bookings (Booking_ID NUMBER, Customer_ID NUMBER, Workshop_Group_ID VARCHAR2, Status_Code CHAR, Store_ID NUMBER, Order_Date DATETIME, Planned_Delivery_Date DATETIME, Actual_Delivery_Date DATETIME, Other_Order_Details VARCHAR2)
CREATE TABLE Performers (Performer_ID NUMBER, Address_ID NUMBER, Customer_Name VARCHAR2, Customer_Phone VARCHAR2, Customer_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Services (Service_ID NUMBER, Service_Type_Code CHAR, Workshop_Group_ID NUMBER, Product_Description VARCHAR2, Product_Name VARCHAR2, Product_Price NUMBER, Other_Product_Service_Details VARCHAR2)
CREATE TABLE Products (Product_ID VARCHAR2, Product_Name VARCHAR2, Product_Price NUMBER, Product_Description VARCHAR2, Other_Product_Service_Details VARCHAR2)
CREATE TABLE Bookings_Services (Order_ID NUMBER, Product_ID NUMBER)
CREATE TABLE Order_Items (Order_Item_ID NUMBER, Order_ID NUMBER, Product_ID NUMBER, Order_Quantity VARCHAR2, Other_Item_Details VARCHAR2)
CREATE TABLE Drama_Workshop_Groups (Workshop_Group_ID NUMBER, Address_ID NUMBER, Currency_Code CHAR, Marketing_Region_Code CHAR, Store_Name VARCHAR2, Store_Phone VARCHAR2, Store_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Marketing_Regions (Marketing_Region_Code CHAR, Marketing_Region_Name VARCHAR2, Marketing_Region_Descriptrion VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Ref_Service_Types (Service_Type_Code CHAR, Parent_Service_Type_Code CHAR, Service_Type_Description VARCHAR2)
CREATE TABLE Stores (Store_ID VARCHAR2, Address_ID NUMBER, Marketing_Region_Code CHAR, Store_Name VARCHAR2, Store_Phone VARCHAR2, Store_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Ref_Payment_Methods (payment_method_code CHAR, payment_method_description VARCHAR2)
CREATE TABLE Clients (Client_ID NUMBER, Address_ID NUMBER, Customer_Email_Address VARCHAR2, Customer_Name VARCHAR2, Customer_Phone VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Customer_Orders (Order_ID NUMBER, Customer_ID NUMBER, Store_ID NUMBER, Order_Date DATETIME, Planned_Delivery_Date DATETIME, Actual_Delivery_Date DATETIME, Other_Order_Details VARCHAR2)
CREATE TABLE Customers (Customer_ID VARCHAR2, Address_ID NUMBER, Customer_Name VARCHAR2, Customer_Phone VARCHAR2, Customer_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Invoices (Invoice_ID NUMBER, Order_ID NUMBER, payment_method_code CHAR, Product_ID NUMBER, Order_Quantity VARCHAR2, Other_Item_Details VARCHAR2, Order_Item_ID NUMBER)
CREATE TABLE Addresses (Address_ID VARCHAR2, Line_1 VARCHAR2, Line_2 VARCHAR2, City_Town VARCHAR2, State_County VARCHAR2, Other_Details VARCHAR2)
| Show me a bar chart for how many drama workshop groups are there in each city? Return both the city and the count. | SELECT City_Town, COUNT(*) FROM Addresses AS T1 JOIN Drama_Workshop_Groups AS T2 ON T1.Address_ID = T2.Address_ID GROUP BY T1.City_Town | SELECT "City_Town", COUNT(*) FROM "Addresses" "T1" JOIN "Drama_Workshop_Groups" "T2" ON "T1"."Address_ID" = "T2"."Address_ID" GROUP BY "T1"."City_Town" | 0.147461 |
CREATE TABLE table_8943 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| What was the nationality of the player with a score of 72-72-67=211? | SELECT "Country" FROM table_8943 WHERE "Score" = '72-72-67=211' | SELECT "Country" FROM "table_8943" WHERE "Score" = '72-72-67=211' | 0.063477 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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)
| provide the number of patients whose primary disease is s/p hanging and year of death is less than or equal to 2174? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "S/P HANGING" AND demographic.dod_year <= "2174.0" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2174.0" >= "demographic"."dod_year" AND "S/P HANGING" = "demographic"."diagnosis" | 0.15332 |
CREATE TABLE cinema (Cinema_ID NUMBER, Name CLOB, Openning_year NUMBER, Capacity NUMBER, Location CLOB)
CREATE TABLE film (Film_ID NUMBER, Rank_in_series NUMBER, Number_in_season NUMBER, Title CLOB, Directed_by CLOB, Original_air_date CLOB, Production_code CLOB)
CREATE TABLE schedule (Cinema_ID NUMBER, Film_ID NUMBER, Date CLOB, Show_times_per_day NUMBER, Price FLOAT)
| Plot the total number by grouped by directed by as a bar graph | SELECT Directed_by, COUNT(*) FROM film GROUP BY Directed_by | SELECT "Directed_by", COUNT(*) FROM "film" GROUP BY "Directed_by" | 0.063477 |
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_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE 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 procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE 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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
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 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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
| what is the name of the treatment which has been given to patient 11579 two times in 06/this year? | SELECT d_icd_procedures.short_title FROM d_icd_procedures WHERE d_icd_procedures.icd9_code IN (SELECT t1.icd9_code FROM (SELECT procedures_icd.icd9_code, COUNT(procedures_icd.charttime) AS c1 FROM procedures_icd WHERE procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 11579) AND DATETIME(procedures_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND STRFTIME('%m', procedures_icd.charttime) = '06' GROUP BY procedures_icd.icd9_code) AS t1 WHERE t1.c1 = 2) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 11579 GROUP BY "hadm_id"), "t1" AS (SELECT "procedures_icd"."icd9_code", COUNT("procedures_icd"."charttime") AS "c1" FROM "procedures_icd" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "procedures_icd"."hadm_id" WHERE DATETIME("procedures_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_0"."" IS NULL AND STRFTIME('%m', "procedures_icd"."charttime") = '06' GROUP BY "procedures_icd"."icd9_code"), "_u_1" AS (SELECT "t1"."icd9_code" FROM "t1" "t1" WHERE "t1"."c1" = 2 GROUP BY "icd9_code") SELECT "d_icd_procedures"."short_title" FROM "d_icd_procedures" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "d_icd_procedures"."icd9_code" WHERE NOT "_u_1"."" IS NULL | 0.776367 |
CREATE TABLE Projects (Project_ID NUMBER, Project_Details VARCHAR2)
CREATE TABLE Accounts (Account_ID NUMBER, Statement_ID NUMBER, Account_Details VARCHAR2)
CREATE TABLE Documents (Document_ID NUMBER, Document_Type_Code CHAR, Project_ID NUMBER, Document_Date DATETIME, Document_Name VARCHAR2, Document_Description VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Statements (Statement_ID NUMBER, Statement_Details VARCHAR2)
CREATE TABLE Ref_Document_Types (Document_Type_Code CHAR, Document_Type_Name VARCHAR2, Document_Type_Description VARCHAR2)
CREATE TABLE Documents_with_Expenses (Document_ID NUMBER, Budget_Type_Code CHAR, Document_Details VARCHAR2)
CREATE TABLE Ref_Budget_Codes (Budget_Type_Code CHAR, Budget_Type_Description VARCHAR2)
| Return a bar chart on how many documents are there of each type?, could you sort from high to low by the Document_Type_Code? | SELECT Document_Type_Code, COUNT(*) FROM Documents GROUP BY Document_Type_Code ORDER BY Document_Type_Code DESC | SELECT "Document_Type_Code", COUNT(*) FROM "Documents" GROUP BY "Document_Type_Code" ORDER BY "Document_Type_Code" DESC | 0.116211 |
CREATE TABLE table_1682026_2 (company VARCHAR2, profits__billion_$_ VARCHAR2)
| Which company had profits of 26.9? | SELECT company FROM table_1682026_2 WHERE profits__billion_$_ = "26.9" | SELECT "company" FROM "table_1682026_2" WHERE "26.9" = "profits__billion_$_" | 0.074219 |
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 the comparison about the sum of School_ID over the ACC_Road , and group by attribute ACC_Road, and I want to display in asc by the ACC_Road please. | SELECT ACC_Road, SUM(School_ID) FROM basketball_match GROUP BY ACC_Road ORDER BY ACC_Road | SELECT "ACC_Road", SUM("School_ID") FROM "basketball_match" GROUP BY "ACC_Road" ORDER BY "ACC_Road" | 0.09668 |
CREATE TABLE table_60674 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| With a To par of 1, what is Player Henrik Stenson's Score? | SELECT "Score" FROM table_60674 WHERE "To par" = '–1' AND "Player" = 'henrik stenson' | SELECT "Score" FROM "table_60674" WHERE "Player" = 'henrik stenson' AND "To par" = '–1' | 0.084961 |
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
| have patient 76327's received tests during their first hospital encounter for alanine aminotransferase (alt)? | SELECT COUNT(*) > 0 FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'alanine aminotransferase (alt)') AND labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 76327 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime LIMIT 1) | WITH "_u_0" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'alanine aminotransferase (alt)' GROUP BY "itemid"), "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 76327 AND NOT "admissions"."dischtime" IS NULL GROUP BY "hadm_id" ORDER BY "admissions"."admittime" FETCH FIRST 1 ROWS ONLY) SELECT COUNT(*) > 0 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 | 0.560547 |
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE 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 microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE 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)
| make a count of the number of times patient 003-48563 has received a immunosuppressive therapy - thymoglobulin during their last hospital encounter. | SELECT COUNT(*) FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '003-48563' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime DESC LIMIT 1)) AND treatment.treatmentname = 'immunosuppressive therapy - thymoglobulin' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '003-48563' AND NOT "patient"."hospitaldischargetime" IS NULL GROUP BY "patienthealthsystemstayid" ORDER BY "patient"."hospitaladmittime" DESC FETCH FIRST 1 ROWS ONLY), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) FROM "treatment" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "treatment"."patientunitstayid" WHERE "treatment"."treatmentname" = 'immunosuppressive therapy - thymoglobulin' AND NOT "_u_1"."" IS NULL | 0.666016 |
CREATE TABLE table_name_31 (location VARCHAR2, altitude__metres_ NUMBER)
| Tell me the location for altitude being less thaan 6102 | SELECT location FROM table_name_31 WHERE altitude__metres_ < 6102 | SELECT "location" FROM "table_name_31" WHERE "altitude__metres_" < 6102 | 0.069336 |
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 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)
| provide the number of patients whose diagnoses icd9 code is v4983 and drug route is iv drip? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.icd9_code = "V4983" AND prescriptions.route = "IV DRIP" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "V4983" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "IV DRIP" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.283203 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| what is average age of patients whose admission type is urgent and year of death is less than 2133? | SELECT AVG(demographic.age) FROM demographic WHERE demographic.admission_type = "URGENT" AND demographic.dod_year < "2133.0" | SELECT AVG("demographic"."age") FROM "demographic" WHERE "2133.0" > "demographic"."dod_year" AND "URGENT" = "demographic"."admission_type" | 0.134766 |
CREATE TABLE table_name_86 (artist VARCHAR2, record_label VARCHAR2)
| Which Artist has a Record label of vertigo? | SELECT artist FROM table_name_86 WHERE record_label = "vertigo" | SELECT "artist" FROM "table_name_86" WHERE "record_label" = "vertigo" | 0.067383 |
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 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)
| provide the number of patients whose insurance is private and discharge location is short term hospital? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.insurance = "Private" AND demographic.discharge_location = "SHORT TERM HOSPITAL" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "Private" = "demographic"."insurance" AND "SHORT TERM HOSPITAL" = "demographic"."discharge_location" | 0.170898 |
CREATE TABLE table_8538 ("Discipline" CLOB, "Championship" CLOB, "Circuit" CLOB, "Event" CLOB, "Session" CLOB, "Cause" CLOB)
| The 2001 NASCAR Winston Cup Series championship has what has a circuit? | SELECT "Circuit" FROM table_8538 WHERE "Championship" = '2001 nascar winston cup series' | SELECT "Circuit" FROM "table_8538" WHERE "Championship" = '2001 nascar winston cup series' | 0.087891 |
CREATE TABLE table_train_128 ("id" NUMBER, "vascular" BOOLEAN, "mania" BOOLEAN, "pulmonary_disease" BOOLEAN, "cardiac" BOOLEAN, "stroke" BOOLEAN, "substance_dependence" BOOLEAN, "schizophrenia" BOOLEAN, "cerebrovascular_disease" BOOLEAN, "hematologic_disease" BOOLEAN, "adverse_reactions_venlaflaxine" BOOLEAN, "traumatic_brain_injury" BOOLEAN, "focal_brain_lesion" BOOLEAN, "adverse_reactions_escitalopram" BOOLEAN, "malignancy" BOOLEAN, "metabolic" BOOLEAN, "seizure_disorder" BOOLEAN, "neuropathology" BOOLEAN, "major_depression" BOOLEAN, "NOUSE" FLOAT)
| subjects with a history of significant cerebrovascular disease. this will be identified by one of the following: i. history of stroke. ii. any focal signs of significant neuropathology from the neurological examination. | SELECT * FROM table_train_128 WHERE cerebrovascular_disease = 1 OR ((CASE WHEN stroke = 1 THEN 1 ELSE 0 END + CASE WHEN neuropathology = 1 THEN 1 ELSE 0 END) >= 1) | SELECT * FROM "table_train_128" WHERE "cerebrovascular_disease" = 1 OR (CASE WHEN "stroke" = 1 THEN 1 ELSE 0 END + CASE WHEN "neuropathology" = 1 THEN 1 ELSE 0 END) >= 1 | 0.165039 |
CREATE TABLE table_name_18 (fc_matches VARCHAR2, total VARCHAR2)
| Which FC match has a total of 24? | SELECT fc_matches FROM table_name_18 WHERE total = "24" | SELECT "fc_matches" FROM "table_name_18" WHERE "24" = "total" | 0.05957 |
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)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| how many patients were admitted to the hospital before year 2152 with the diagnosis short title nb obs genetc/metabl cnd? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2152" AND diagnoses.short_title = "NB obs genetc/metabl cnd" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "NB obs genetc/metabl cnd" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "2152" > "demographic"."admityear" | 0.230469 |
CREATE TABLE table_name_5 (pct VARCHAR2, years VARCHAR2, team VARCHAR2)
| What is Akron's highest Pct in 100 years? | SELECT COUNT(pct) FROM table_name_5 WHERE years > 100 AND team = "akron" | SELECT COUNT("pct") FROM "table_name_5" WHERE "akron" = "team" AND "years" > 100 | 0.078125 |
CREATE TABLE table_1579922_1 (broadcast_date VARCHAR2, run_time VARCHAR2)
| What date was an episode with a run time of 24:30 broadcasted? | SELECT broadcast_date FROM table_1579922_1 WHERE run_time = "24:30" | SELECT "broadcast_date" FROM "table_1579922_1" WHERE "24:30" = "run_time" | 0.071289 |
CREATE TABLE table_203_770 (id NUMBER, "ages attained ( years ) " CLOB, "catholic" CLOB, "protestant and other christian" CLOB, "other religion" CLOB, "none or not stated" CLOB)
| which age range had the top number for protestant and other christians ? | SELECT "ages attained (years)" FROM table_203_770 ORDER BY "protestant and other christian" DESC LIMIT 1 | SELECT "ages attained (years)" FROM "table_203_770" ORDER BY "protestant and other christian" DESC FETCH FIRST 1 ROWS ONLY | 0.119141 |
CREATE TABLE table_name_60 (played VARCHAR2, drawn VARCHAR2, position VARCHAR2, points VARCHAR2)
| Can you tell me the total number of Played that has the Position larger than 5, and the Points of 11, and the Drawn smaller than 1? | SELECT COUNT(played) FROM table_name_60 WHERE position > 5 AND points = 11 AND drawn < 1 | SELECT COUNT("played") FROM "table_name_60" WHERE "drawn" < 1 AND "points" = 11 AND "position" > 5 | 0.095703 |
CREATE TABLE table_67624 ("Year" FLOAT, "Chassis" CLOB, "Engine ( s ) " CLOB, "Tyres" CLOB, "Points" FLOAT)
| What are the average points with a Chassis of zakspeed 881? | SELECT AVG("Points") FROM table_67624 WHERE "Chassis" = 'zakspeed 881' | SELECT AVG("Points") FROM "table_67624" WHERE "Chassis" = 'zakspeed 881' | 0.070313 |
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)
| Draw a bar chart about the distribution of ACC_Road and School_ID , and group by attribute All_Home, display in descending by the X. | SELECT ACC_Road, School_ID FROM basketball_match GROUP BY All_Home, ACC_Road ORDER BY ACC_Road DESC | SELECT "ACC_Road", "School_ID" FROM "basketball_match" GROUP BY "All_Home", "ACC_Road" ORDER BY "ACC_Road" DESC | 0.108398 |
CREATE TABLE table_23849 ("Parish" CLOB, "Obama%" CLOB, "Obama#" FLOAT, "McCain%" CLOB, "McCain#" FLOAT)
| What parish did McCain have 45.37% of the votes? | SELECT "Parish" FROM table_23849 WHERE "McCain%" = '45.37%' | SELECT "Parish" FROM "table_23849" WHERE "McCain%" = '45.37%' | 0.05957 |
CREATE TABLE weather (date CLOB, max_temperature_f NUMBER, mean_temperature_f NUMBER, min_temperature_f NUMBER, max_dew_point_f NUMBER, mean_dew_point_f NUMBER, min_dew_point_f NUMBER, max_humidity NUMBER, mean_humidity NUMBER, min_humidity NUMBER, max_sea_level_pressure_inches NUMBER, mean_sea_level_pressure_inches NUMBER, min_sea_level_pressure_inches NUMBER, max_visibility_miles NUMBER, mean_visibility_miles NUMBER, min_visibility_miles NUMBER, max_wind_Speed_mph NUMBER, mean_wind_speed_mph NUMBER, max_gust_speed_mph NUMBER, precipitation_inches NUMBER, cloud_cover NUMBER, events CLOB, wind_dir_degrees NUMBER, zip_code NUMBER)
CREATE TABLE trip (id NUMBER, duration NUMBER, start_date CLOB, start_station_name CLOB, start_station_id NUMBER, end_date CLOB, end_station_name CLOB, end_station_id NUMBER, bike_id NUMBER, subscription_type CLOB, zip_code NUMBER)
CREATE TABLE status (station_id NUMBER, bikes_available NUMBER, docks_available NUMBER, time CLOB)
CREATE TABLE station (id NUMBER, name CLOB, lat NUMBER, long NUMBER, dock_count NUMBER, city CLOB, installation_date CLOB)
| Show me a bar chart for what are the different ids and names of the stations that have had more than 12 bikes available?, show in desc by the x axis. | SELECT name, id FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id WHERE T2.bikes_available > 12 ORDER BY name DESC | SELECT "name", "id" FROM "station" "T1" JOIN "status" "T2" ON "T1"."id" = "T2"."station_id" AND "T2"."bikes_available" > 12 ORDER BY "name" DESC | 0.140625 |
CREATE TABLE table_60485 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| What is Score, when Country is 'United States', and when Player is 'Raymond Floyd'? | SELECT "Score" FROM table_60485 WHERE "Country" = 'united states' AND "Player" = 'raymond floyd' | SELECT "Score" FROM "table_60485" WHERE "Country" = 'united states' AND "Player" = 'raymond floyd' | 0.095703 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many patients of white-russian ethnicity are born before 2107? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "WHITE - RUSSIAN" AND demographic.dob_year < "2107" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2107" > "demographic"."dob_year" AND "WHITE - RUSSIAN" = "demographic"."ethnicity" | 0.154297 |
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime 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 cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
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)
| what is the name of patient 017-7283's last intake on the last icu visit? | SELECT intakeoutput.celllabel FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '017-7283') AND NOT patient.unitdischargetime IS NULL ORDER BY patient.unitadmittime DESC LIMIT 1) AND intakeoutput.cellpath LIKE '%intake%' ORDER BY intakeoutput.intakeoutputtime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '017-7283' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL AND NOT "patient"."unitdischargetime" IS NULL GROUP BY "patientunitstayid" ORDER BY "patient"."unitadmittime" DESC FETCH FIRST 1 ROWS ONLY) SELECT "intakeoutput"."celllabel" FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."cellpath" LIKE '%intake%' AND NOT "_u_1"."" IS NULL ORDER BY "intakeoutput"."intakeoutputtime" DESC FETCH FIRST 1 ROWS ONLY | 0.719727 |
CREATE TABLE table_20007413_3 (torque VARCHAR2, year VARCHAR2)
| Name the torque for 1986 | SELECT torque FROM table_20007413_3 WHERE year = "1986" | SELECT "torque" FROM "table_20007413_3" WHERE "1986" = "year" | 0.05957 |
CREATE TABLE table_10411 ("Class" CLOB, "Type" CLOB, "Quantity" FLOAT, "Date" CLOB, "LNER Class" CLOB, "1946 LNER nos." CLOB)
| On what date was the type 2-8-0 with a O4 LNER Class? | SELECT "Date" FROM table_10411 WHERE "Type" = '2-8-0' AND "LNER Class" = 'o4' | SELECT "Date" FROM "table_10411" WHERE "LNER Class" = 'o4' AND "Type" = '2-8-0' | 0.077148 |
CREATE TABLE table_42978 ("Name" CLOB, "Location" CLOB, "Field" CLOB, "Capacity ( MW ) " FLOAT, "Annual Generation ( average GWh ) " CLOB, "Commissioned" CLOB)
| What Field was Commissioned in 1958, 2005? | SELECT "Field" FROM table_42978 WHERE "Commissioned" = '1958, 2005' | SELECT "Field" FROM "table_42978" WHERE "Commissioned" = '1958, 2005' | 0.067383 |
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)
| count the number of patients whose insurance is private and diagnoses long title is fever presenting with conditions classified elsewhere? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.insurance = "Private" AND diagnoses.long_title = "Fever presenting with conditions classified elsewhere" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Fever presenting with conditions classified elsewhere" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "Private" = "demographic"."insurance" | 0.260742 |
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 microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
| for the first time since 06/2104, when was patient 006-76924 given a lab test? | SELECT lab.labresulttime FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-76924')) AND STRFTIME('%y-%m', lab.labresulttime) >= '2104-06' ORDER BY lab.labresulttime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '006-76924' 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 "lab"."labresulttime" FROM "lab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m', "lab"."labresulttime") >= '2104-06' ORDER BY "lab"."labresulttime" FETCH FIRST 1 ROWS ONLY | 0.585938 |
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 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 vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
| how much does it cost for patient 009-1746's hospital stay in the first hospital encounter? | SELECT SUM(cost.cost) FROM cost WHERE cost.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '009-1746' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime LIMIT 1) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '009-1746' AND NOT "patient"."hospitaldischargetime" IS NULL GROUP BY "patienthealthsystemstayid" ORDER BY "patient"."hospitaladmittime" FETCH FIRST 1 ROWS ONLY) SELECT SUM("cost"."cost") FROM "cost" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "cost"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL | 0.397461 |
CREATE TABLE table_74374 ("Rank" FLOAT, "Rider" CLOB, "Mon 30 May" CLOB, "Tues 31 May" CLOB, "Wed 1 June" CLOB, "Thurs 2 June" CLOB, "Fri 3 June" CLOB)
| What is the number of riders that had a Tues 31 May time of 18' 55.91 124.236mph? | SELECT COUNT("Rider") FROM table_74374 WHERE "Tues 31 May" = '18'' 55.91 124.236mph' | SELECT COUNT("Rider") FROM "table_74374" WHERE "Tues 31 May" = '18'' 55.91 124.236mph' | 0.083984 |
CREATE TABLE department (Department_ID NUMBER, Name CLOB, Creation CLOB, Ranking NUMBER, Budget_in_Billions FLOAT, Num_Employees FLOAT)
CREATE TABLE management (department_ID NUMBER, head_ID NUMBER, temporary_acting CLOB)
CREATE TABLE head (head_ID NUMBER, name CLOB, born_state CLOB, age FLOAT)
| Show me a line chart of how sum budget in billions change over the creation, and sort by the x-axis in desc. | SELECT Creation, SUM(Budget_in_Billions) FROM department ORDER BY Creation DESC | SELECT "Creation", SUM("Budget_in_Billions") FROM "department" ORDER BY "Creation" DESC | 0.084961 |
CREATE TABLE furniture (Furniture_ID NUMBER, Name CLOB, Num_of_Component NUMBER, Market_Rate FLOAT)
CREATE TABLE manufacturer (Manufacturer_ID NUMBER, Open_Year FLOAT, Name CLOB, Num_of_Factories NUMBER, Num_of_Shops NUMBER)
CREATE TABLE furniture_manufacte (Manufacturer_ID NUMBER, Furniture_ID NUMBER, Price_in_Dollar FLOAT)
| Find the component amounts and names of all furnitures that have more than 10 components, and could you order by the y axis from low to high? | SELECT Name, Num_of_Component FROM furniture WHERE Num_of_Component > 10 ORDER BY Num_of_Component | SELECT "Name", "Num_of_Component" FROM "furniture" WHERE "Num_of_Component" > 10 ORDER BY "Num_of_Component" | 0.105469 |
CREATE TABLE table_name_13 (period VARCHAR2, built VARCHAR2)
| In what time period were 354 built? | SELECT period FROM table_name_13 WHERE built = "354" | SELECT "period" FROM "table_name_13" WHERE "354" = "built" | 0.056641 |
CREATE TABLE table_41877 ("First District" CLOB, "Second District" CLOB, "Third District" CLOB, "Fourth District" CLOB, "Fifth District" CLOB)
| Who's the Fifth District with a Second District of paul leidig? | SELECT "Fifth District" FROM table_41877 WHERE "Second District" = 'paul leidig' | SELECT "Fifth District" FROM "table_41877" WHERE "Second District" = 'paul leidig' | 0.080078 |
CREATE TABLE table_37890 ("Date" CLOB, "Round" CLOB, "Opponents" CLOB, "H / A" CLOB, "Result F \\u2013 A" CLOB)
| Was the semi-final round held at home or away? | SELECT "H / A" FROM table_37890 WHERE "Round" = 'semi-final' | SELECT "H / A" FROM "table_37890" WHERE "Round" = 'semi-final' | 0.060547 |
CREATE TABLE table_203_507 (id NUMBER, "#" CLOB, "player" CLOB, "\\u03c3 points" NUMBER, "qual." NUMBER, "final" NUMBER)
| jan schulz is ranked immediately below which player ? | SELECT "player" FROM table_203_507 WHERE id = (SELECT id FROM table_203_507 WHERE "player" = 'jan schulz') - 1 | SELECT "player" FROM "table_203_507" WHERE "id" = (SELECT "id" FROM "table_203_507" WHERE "player" = 'jan schulz') - 1 | 0.115234 |
CREATE TABLE table_18602 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" FLOAT, "Result" CLOB, "Candidates" CLOB)
| Who are the contenders In the New York 19 polling area race? | SELECT "Candidates" FROM table_18602 WHERE "District" = 'New York 19' | SELECT "Candidates" FROM "table_18602" WHERE "District" = 'New York 19' | 0.069336 |
CREATE TABLE table_203_30 (id NUMBER, "place" NUMBER, "team" CLOB, "played" NUMBER, "won" NUMBER, "draw" NUMBER, "lost" NUMBER, "goals\ scored" NUMBER, "goals\ conceded" NUMBER, "+/-" NUMBER, "points" NUMBER)
| which team came in last place ? | SELECT "team" FROM table_203_30 ORDER BY "place" DESC LIMIT 1 | SELECT "team" FROM "table_203_30" ORDER BY "place" DESC FETCH FIRST 1 ROWS ONLY | 0.077148 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE 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)
| What is the number of romanian eastern orthodox catholic patients who prefer spanish? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.language = "SPAN" AND demographic.religion = "ROMANIAN EAST. ORTH" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "ROMANIAN EAST. ORTH" = "demographic"."religion" AND "SPAN" = "demographic"."language" | 0.157227 |
CREATE TABLE table_2618142_1 (title VARCHAR2, directed_by VARCHAR2)
| name the title of the episode that ed sherin directed. | SELECT title FROM table_2618142_1 WHERE directed_by = "Ed Sherin" | SELECT "title" FROM "table_2618142_1" WHERE "Ed Sherin" = "directed_by" | 0.069336 |
CREATE TABLE table_name_63 (chassis_code VARCHAR2, power VARCHAR2, model VARCHAR2)
| What Chassis code has a 200d model and a Power of ps (kw; hp) @ 4200? | SELECT chassis_code FROM table_name_63 WHERE power = "ps (kw; hp) @ 4200" AND model = "200d" | SELECT "chassis_code" FROM "table_name_63" WHERE "200d" = "model" AND "power" = "ps (kw; hp) @ 4200" | 0.097656 |
CREATE TABLE table_name_2 (gold VARCHAR2, event VARCHAR2, silver VARCHAR2)
| Who received gold when the event is time trial details and silver is simon richardson great britain (gbr)? | SELECT gold FROM table_name_2 WHERE event = "time trial details" AND silver = "simon richardson great britain (gbr)" | SELECT "gold" FROM "table_name_2" WHERE "event" = "time trial details" AND "silver" = "simon richardson great britain (gbr)" | 0.121094 |
CREATE TABLE manager (Age NUMBER)
| What is the average age for all managers? | SELECT AVG(Age) FROM manager | SELECT AVG("Age") FROM "manager" | 0.03125 |
CREATE TABLE table_name_2 (year VARCHAR2, chassis VARCHAR2)
| Name the total number of years for chassis of ensign n175 | SELECT COUNT(year) FROM table_name_2 WHERE chassis = "ensign n175" | SELECT COUNT("year") FROM "table_name_2" WHERE "chassis" = "ensign n175" | 0.070313 |
CREATE TABLE election (election_id NUMBER, counties_represented CLOB, district NUMBER, delegate CLOB, party NUMBER, first_elected NUMBER, committee CLOB)
CREATE TABLE party (party_id NUMBER, year NUMBER, party CLOB, governor CLOB, lieutenant_governor CLOB, comptroller CLOB, attorney_general CLOB, us_senate CLOB)
CREATE TABLE county (county_id NUMBER, county_name CLOB, population NUMBER, zip_code CLOB)
| Find the distinct years when the governor was named 'Eliot Spitzer'. | SELECT DISTINCT year FROM party WHERE governor = "Eliot Spitzer" | SELECT DISTINCT "year" FROM "party" WHERE "Eliot Spitzer" = "governor" | 0.068359 |
CREATE TABLE table_74830 ("Wheel arrangement" CLOB, "Manufacturer Serial numbers" CLOB, "Year introduced MRWA" CLOB, "Quantity made" CLOB, "Quantity preserved" CLOB, "Year ( s ) withdrawn" CLOB)
| What was the year the MRWA with a wheel arrangement of 4-6-2 was introduced? | SELECT "Year introduced MRWA" FROM table_74830 WHERE "Wheel arrangement" = '4-6-2' | SELECT "Year introduced MRWA" FROM "table_74830" WHERE "Wheel arrangement" = '4-6-2' | 0.082031 |
CREATE TABLE table_287159_1 (other_abbreviation VARCHAR2, genitive VARCHAR2)
| What is the other abbreviation of the constellation that has hydrae / ha dri / as genitive? | SELECT other_abbreviation FROM table_287159_1 WHERE genitive = "Hydrae /ˈhaɪdriː/" | SELECT "other_abbreviation" FROM "table_287159_1" WHERE "Hydrae /ˈhaɪdriː/" = "genitive" | 0.085938 |
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description 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 code_description (code VARCHAR2, description CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE 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 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 days (days_code VARCHAR2, 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 month (month_number NUMBER, month_name CLOB)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
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 restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
| what are the flights and fares from BOSTON to PHILADELPHIA | SELECT DISTINCT fare.fare_id, flight.airline_code, 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, 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 = 'PHILADELPHIA' 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 | SELECT DISTINCT "fare"."fare_id", "flight"."airline_code", "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" = 'BOSTON' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'PHILADELPHIA' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" | 0.654297 |
CREATE TABLE departments (department_name VARCHAR2, location_id VARCHAR2)
CREATE TABLE locations (city VARCHAR2, state_province VARCHAR2, location_id VARCHAR2)
| display the department name, city, and state province for each department. | SELECT T1.department_name, T2.city, T2.state_province FROM departments AS T1 JOIN locations AS T2 ON T2.location_id = T1.location_id | SELECT "T1"."department_name", "T2"."city", "T2"."state_province" FROM "departments" "T1" JOIN "locations" "T2" ON "T1"."location_id" = "T2"."location_id" | 0.150391 |
CREATE TABLE table_12810 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| What is T4 Place Player Nick Price's Score? | SELECT "Score" FROM table_12810 WHERE "Place" = 't4' AND "Player" = 'nick price' | SELECT "Score" FROM "table_12810" WHERE "Place" = 't4' AND "Player" = 'nick price' | 0.080078 |
CREATE TABLE instructor (id CLOB, name CLOB, dept_name CLOB, salary NUMBER)
CREATE TABLE takes (id CLOB, course_id CLOB, sec_id CLOB, semester CLOB, year NUMBER, grade CLOB)
CREATE TABLE advisor (s_id CLOB, i_id CLOB)
CREATE TABLE time_slot (time_slot_id CLOB, day CLOB, start_hr NUMBER, start_min NUMBER, end_hr NUMBER, end_min NUMBER)
CREATE TABLE section (course_id CLOB, sec_id CLOB, semester CLOB, year NUMBER, building CLOB, room_number CLOB, time_slot_id CLOB)
CREATE TABLE classroom (building CLOB, room_number CLOB, capacity NUMBER)
CREATE TABLE course (course_id CLOB, title CLOB, dept_name CLOB, credits NUMBER)
CREATE TABLE prereq (course_id CLOB, prereq_id CLOB)
CREATE TABLE teaches (id CLOB, course_id CLOB, sec_id CLOB, semester CLOB, year NUMBER)
CREATE TABLE student (id CLOB, name CLOB, dept_name CLOB, tot_cred NUMBER)
CREATE TABLE department (dept_name CLOB, building CLOB, budget NUMBER)
| Find the name of the department which has the highest average salary of professors. | SELECT dept_name FROM instructor GROUP BY dept_name ORDER BY AVG(salary) DESC LIMIT 1 | SELECT "dept_name" FROM "instructor" GROUP BY "dept_name" ORDER BY AVG("salary") DESC FETCH FIRST 1 ROWS ONLY | 0.106445 |
CREATE TABLE table_64122 ("Opposing Team" CLOB, "Against" FLOAT, "Date" CLOB, "Venue" CLOB, "Status" CLOB)
| What venue was the tour match against eastern province played at with more than 0 against? | SELECT "Venue" FROM table_64122 WHERE "Status" = 'tour match' AND "Against" > '0' AND "Opposing Team" = 'eastern province' | SELECT "Venue" FROM "table_64122" WHERE "Against" > '0' AND "Opposing Team" = 'eastern province' AND "Status" = 'tour match' | 0.121094 |
CREATE TABLE table_18864 ("Result" CLOB, "Date" CLOB, "Race" CLOB, "Venue" CLOB, "Group" CLOB, "Distance" CLOB, "Weight ( kg ) " CLOB, "Time" CLOB, "Jockey" CLOB, "Winner/2nd" CLOB)
| How many entries are there for weight when the winner is 1st - defier and venue is randwick? | SELECT COUNT("Weight (kg)") FROM table_18864 WHERE "Winner/2nd" = '1st - Defier' AND "Venue" = 'Randwick' | SELECT COUNT("Weight (kg)") FROM "table_18864" WHERE "Venue" = 'Randwick' AND "Winner/2nd" = '1st - Defier' | 0.104492 |
CREATE TABLE table_name_47 (nationality VARCHAR2, player VARCHAR2)
| What is John Crawford's Nationality? | SELECT nationality FROM table_name_47 WHERE player = "john crawford" | SELECT "nationality" FROM "table_name_47" WHERE "john crawford" = "player" | 0.072266 |
CREATE TABLE table_203_551 (id NUMBER, "goal" NUMBER, "date" CLOB, "venue" CLOB, "opponent" CLOB, "score" CLOB, "result" CLOB, "competition" CLOB)
| when did d m szalai make his first international goal ? | SELECT "date" FROM table_203_551 ORDER BY "date" LIMIT 1 | SELECT "date" FROM "table_203_551" ORDER BY "date" FETCH FIRST 1 ROWS ONLY | 0.072266 |
CREATE TABLE table_74116 ("Team" CLOB, "Outgoing manager" CLOB, "Manner of departure" CLOB, "Date of vacancy" CLOB, "Replaced by" CLOB, "Date of appointment" CLOB, "Position in table" CLOB)
| What was the position of appointment date 17 january 2011 | SELECT "Position in table" FROM table_74116 WHERE "Date of appointment" = '17 January 2011' | SELECT "Position in table" FROM "table_74116" WHERE "Date of appointment" = '17 January 2011' | 0.09082 |
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