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CREATE TABLE table_24026 ("Ep." FLOAT, "Season" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "Prod. Code" TEXT)
| What is the production code of the episode written by Jack Carrerrow? | SELECT "Prod. Code" FROM table_24026 WHERE "Written by" = 'Jack Carrerrow' | SELECT "Prod. Code" FROM "table_24026" WHERE "Written by" = 'Jack Carrerrow' | 0.074219 |
CREATE TABLE table_name_9 (races INT, series VARCHAR, podiums VARCHAR)
| What is the sum of Races, when Series is Toyota Racing Series, and when Podiums is greater than 3? | SELECT SUM(races) FROM table_name_9 WHERE series = "toyota racing series" AND podiums > 3 | SELECT SUM("races") FROM "table_name_9" WHERE "podiums" > 3 AND "series" = "toyota racing series" | 0.094727 |
CREATE TABLE table_name_17 (laps VARCHAR, car_no VARCHAR)
| How many laps did car 23 do? | SELECT laps FROM table_name_17 WHERE car_no = "23" | SELECT "laps" FROM "table_name_17" WHERE "23" = "car_no" | 0.054688 |
CREATE TABLE table_name_33 (away_team VARCHAR, tie_no VARCHAR)
| What is the away team of the game with tie number 31? | SELECT away_team FROM table_name_33 WHERE tie_no = "31" | SELECT "away_team" FROM "table_name_33" WHERE "31" = "tie_no" | 0.05957 |
CREATE TABLE table_71923 ("Year" TEXT, "Start" TEXT, "Qual" TEXT, "Rank" TEXT, "Finish" TEXT, "Laps" FLOAT)
| What is rank of the year 1956? | SELECT "Rank" FROM table_71923 WHERE "Year" = '1956' | SELECT "Rank" FROM "table_71923" WHERE "Year" = '1956' | 0.052734 |
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
| let's count the number of patients who were diagnosed with ulcer of heel & midfoot but didn't come back to hospital within 2 months. | SELECT (SELECT COUNT(DISTINCT t1.subject_id) FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'ulcer of heel & midfoot')) AS t1) - (SELECT COUNT(DISTINCT t2.subject_id) FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'ulcer of heel & midfoot')) AS t2 JOIN admissions ON t2.subject_id = admissions.subject_id WHERE t2.charttime < admissions.admittime AND DATETIME(admissions.admittime) BETWEEN DATETIME(t2.charttime) AND DATETIME(t2.charttime, '+2 month')) | WITH "_u_0" AS (SELECT "d_icd_diagnoses"."icd9_code" FROM "d_icd_diagnoses" WHERE "d_icd_diagnoses"."short_title" = 'ulcer of heel & midfoot') SELECT (SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "diagnoses_icd" JOIN "_u_0" AS "_u_0" ON "_u_0"."icd9_code" = "diagnoses_icd"."icd9_code" JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id") - (SELECT COUNT(DISTINCT "admissions_2"."subject_id") FROM "diagnoses_icd" JOIN "_u_0" AS "_u_2" ON "_u_2"."icd9_code" = "diagnoses_icd"."icd9_code" JOIN "admissions" AS "admissions_2" ON "admissions_2"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "admissions" ON "admissions"."admittime" > "diagnoses_icd"."charttime" AND "admissions"."subject_id" = "admissions_2"."subject_id" AND DATETIME("admissions"."admittime") <= DATETIME("diagnoses_icd"."charttime", '+2 month') AND DATETIME("admissions"."admittime") >= DATETIME("diagnoses_icd"."charttime")) | 0.895508 |
CREATE TABLE table_59381 ("Week 2" TEXT, "Week 3" TEXT, "Week 4" TEXT, "Week 5" TEXT, "Week 6" TEXT, "Week 7" TEXT)
| What is week 5 when week 2 is 36.80, and week 4 is 39.75? | SELECT "Week 5" FROM table_59381 WHERE "Week 2" = '36.80' AND "Week 4" = '39.75' | SELECT "Week 5" FROM "table_59381" WHERE "Week 2" = '36.80' AND "Week 4" = '39.75' | 0.080078 |
CREATE TABLE member (Member_ID INT, Member_Name TEXT, Party_ID TEXT, In_office TEXT)
CREATE TABLE party (Party_ID INT, Minister TEXT, Took_office TEXT, Left_office TEXT, Region_ID INT, Party_name TEXT)
CREATE TABLE party_events (Event_ID INT, Event_Name TEXT, Party_ID INT, Member_in_charge_ID INT)
CREATE TABLE region (Region_ID INT, Region_name TEXT, Date TEXT, Label TEXT, Format TEXT, Catalogue TEXT)
| Show all ministers who do not belong to Progress Party, and count them by a bar chart, sort by the x-axis from high to low. | SELECT Minister, COUNT(Minister) FROM party WHERE Party_name <> 'Progress Party' GROUP BY Minister ORDER BY Minister DESC | SELECT "Minister", COUNT("Minister") FROM "party" WHERE "Party_name" <> 'Progress Party' GROUP BY "Minister" ORDER BY "Minister" DESC NULLS LAST | 0.140625 |
CREATE TABLE table_name_35 (mountain_range VARCHAR, rank VARCHAR)
| Which mountain range has a rank of 19? | SELECT mountain_range FROM table_name_35 WHERE rank = 19 | SELECT "mountain_range" FROM "table_name_35" WHERE "rank" = 19 | 0.060547 |
CREATE TABLE table_name_38 (kk___5 VARCHAR, kk___3 VARCHAR)
| What is KK -5 if KK - 3 is 310? | SELECT kk___5 FROM table_name_38 WHERE kk___3 = "310" | SELECT "kk___5" FROM "table_name_38" WHERE "310" = "kk___3" | 0.057617 |
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
| For those employees who do not work in departments with managers that have ids between 100 and 200, find first_name and employee_id , and visualize them by a bar chart, order from low to high by the bars. | SELECT FIRST_NAME, EMPLOYEE_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY FIRST_NAME | SELECT "FIRST_NAME", "EMPLOYEE_ID" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "FIRST_NAME" NULLS FIRST | 0.203125 |
CREATE TABLE table_11178271_1 (weekly_rank VARCHAR, air_date VARCHAR)
| What is the weekly rank with an air date is november 12, 2007? | SELECT weekly_rank FROM table_11178271_1 WHERE air_date = "November 12, 2007" | SELECT "weekly_rank" FROM "table_11178271_1" WHERE "November 12, 2007" = "air_date" | 0.081055 |
CREATE TABLE table_78474 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Game site" TEXT, "Attendance" TEXT)
| What was the Attendance in Week 17? | SELECT "Attendance" FROM table_78474 WHERE "Week" = '17' | SELECT "Attendance" FROM "table_78474" WHERE "Week" = '17' | 0.056641 |
CREATE TABLE table_204_742 (id DECIMAL, "release date" TEXT, "single title" TEXT, "uk singles chart\ position" DECIMAL, "french\ charts" DECIMAL, "german\ charts" DECIMAL, "irish\ charts" DECIMAL, "various" TEXT)
| what single title -lrb- s -rrb- were on the irish charts and not on the uk singles chart ? | SELECT "single title" FROM table_204_742 WHERE NOT "irish\ncharts" IS NULL AND "uk singles chart\nposition" IS NULL | SELECT "single title" FROM "table_204_742" WHERE "uk singles chart\nposition" IS NULL AND NOT "irish\ncharts" IS NULL | 0.114258 |
CREATE TABLE table_name_53 (money___ INT, place VARCHAR, score VARCHAR)
| What is the average amount of money of players in t8 place with a 68-71-69-72=280 score? | SELECT AVG(money___) AS $__ FROM table_name_53 WHERE place = "t8" AND score = 68 - 71 - 69 - 72 = 280 | SELECT AVG("money___") AS $__ FROM "table_name_53" WHERE "place" = "t8" AND "score" = FALSE | 0.088867 |
CREATE TABLE table_37738 ("Tournament" TEXT, "1999" TEXT, "2000" TEXT, "2001" TEXT, "2002" TEXT, "2003" TEXT, "2004" TEXT, "2005" TEXT, "2006" TEXT, "2007" TEXT, "2008" TEXT, "2009" TEXT, "2010" TEXT, "2011" TEXT)
| Which 2000 Tournament has a 2002 of not tier i, and a 2006 of 2r? | SELECT "2000" FROM table_37738 WHERE "2002" = 'not tier i' AND "2006" = '2r' | SELECT "2000" FROM "table_37738" WHERE "2002" = 'not tier i' AND "2006" = '2r' | 0.076172 |
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
| For those employees who did not have any job in the past, show me about the distribution of job_id and the average of employee_id , and group by attribute job_id in a bar chart, show by the y-axis in descending. | SELECT JOB_ID, AVG(EMPLOYEE_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) GROUP BY JOB_ID ORDER BY AVG(EMPLOYEE_ID) DESC | SELECT "JOB_ID", AVG("EMPLOYEE_ID") FROM "employees" WHERE NOT "EMPLOYEE_ID" IN (SELECT "EMPLOYEE_ID" FROM "job_history") GROUP BY "JOB_ID" ORDER BY AVG("EMPLOYEE_ID") DESC NULLS LAST | 0.178711 |
CREATE TABLE table_73037 ("Township" TEXT, "County" TEXT, "Pop. ( 2010 ) " FLOAT, "Land ( sqmi ) " TEXT, "Water ( sqmi ) " TEXT, "Latitude" TEXT, "Longitude" TEXT, "GEO ID" FLOAT, "ANSI code" FLOAT)
| What was the longitude of the township with a latitude of 48.075823? | SELECT "Longitude" FROM table_73037 WHERE "Latitude" = '48.075823' | SELECT "Longitude" FROM "table_73037" WHERE "Latitude" = '48.075823' | 0.066406 |
CREATE TABLE table_name_56 (name VARCHAR, games VARCHAR)
| Who played 10 games? | SELECT name FROM table_name_56 WHERE games = 10 | SELECT "name" FROM "table_name_56" WHERE "games" = 10 | 0.051758 |
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
| For those employees who was hired before 2002-06-21, a bar chart shows the distribution of hire_date and the average of salary bin hire_date by time, order total number from low to high order. | SELECT HIRE_DATE, AVG(SALARY) FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY AVG(SALARY) | SELECT "HIRE_DATE", AVG("SALARY") FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' ORDER BY AVG("SALARY") NULLS FIRST | 0.115234 |
CREATE TABLE table_75260 ("Rank" FLOAT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT, "Participants" FLOAT)
| What is listed as the highest Participants that also have a Rank of 5, and Silver that's smaller than 0? | SELECT MAX("Participants") FROM table_75260 WHERE "Rank" = '5' AND "Silver" < '0' | SELECT MAX("Participants") FROM "table_75260" WHERE "Rank" = '5' AND "Silver" < '0' | 0.081055 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| what is admission location and discharge location of subject id 22377? | SELECT demographic.admission_location, demographic.discharge_location FROM demographic WHERE demographic.subject_id = "22377" | SELECT "demographic"."admission_location", "demographic"."discharge_location" FROM "demographic" WHERE "22377" = "demographic"."subject_id" | 0.135742 |
CREATE TABLE table_name_32 (round VARCHAR, method VARCHAR, event VARCHAR)
| Which Round has a Method of decision (unanimous), and an Event of ufc 145? | SELECT round FROM table_name_32 WHERE method = "decision (unanimous)" AND event = "ufc 145" | SELECT "round" FROM "table_name_32" WHERE "decision (unanimous)" = "method" AND "event" = "ufc 145" | 0.09668 |
CREATE TABLE table_33585 ("Member" TEXT, "Party" TEXT, "Electorate" TEXT, "State" TEXT, "In office" TEXT)
| In which state is the Petrie electorate? | SELECT "State" FROM table_33585 WHERE "Electorate" = 'petrie' | SELECT "State" FROM "table_33585" WHERE "Electorate" = 'petrie' | 0.061523 |
CREATE TABLE table_name_43 (attendance VARCHAR, tie_no VARCHAR)
| Which attendance has 9 as the tie no.? | SELECT attendance FROM table_name_43 WHERE tie_no = 9 | SELECT "attendance" FROM "table_name_43" WHERE "tie_no" = 9 | 0.057617 |
CREATE TABLE table_12002388_1 (year INT, reg_season VARCHAR)
| What year did they finish 1st, southern? | SELECT MAX(year) FROM table_12002388_1 WHERE reg_season = "1st, Southern" | SELECT MAX("year") FROM "table_12002388_1" WHERE "1st, Southern" = "reg_season" | 0.077148 |
CREATE TABLE table_52578 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
| What was the score on April 20? | SELECT "Score" FROM table_52578 WHERE "Date" = 'april 20' | SELECT "Score" FROM "table_52578" WHERE "Date" = 'april 20' | 0.057617 |
CREATE TABLE table_27721131_6 (game VARCHAR, team VARCHAR)
| How many games are shown against Houston? | SELECT COUNT(game) FROM table_27721131_6 WHERE team = "Houston" | SELECT COUNT("game") FROM "table_27721131_6" WHERE "Houston" = "team" | 0.067383 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| give the number of patients whose admission type is urgent and primary disease is pneumonia. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "URGENT" AND demographic.diagnosis = "PNEUMONIA" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "PNEUMONIA" = "demographic"."diagnosis" AND "URGENT" = "demographic"."admission_type" | 0.15625 |
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
| had patient 004-28929 had the urine output until 11/01/2103? | SELECT COUNT(*) > 0 FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '004-28929')) AND intakeoutput.cellpath LIKE '%output%' AND intakeoutput.celllabel = 'urine' AND STRFTIME('%y-%m-%d', intakeoutput.intakeoutputtime) <= '2103-11-01' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '004-28929' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) > 0 FROM "intakeoutput" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'urine' AND "intakeoutput"."cellpath" LIKE '%output%' AND NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m-%d', "intakeoutput"."intakeoutputtime") <= '2103-11-01' | 0.649414 |
CREATE TABLE table_77905 ("Res." TEXT, "Record" TEXT, "Opponent" TEXT, "Method" TEXT, "Round" FLOAT, "Time" TEXT, "Location" TEXT)
| What is the highest number of rounds for a 3:16 fight? | SELECT MAX("Round") FROM table_77905 WHERE "Time" = '3:16' | SELECT MAX("Round") FROM "table_77905" WHERE "Time" = '3:16' | 0.058594 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| provide the number of patients whose ethnicity is asian and drug name is dorzolamide 2%/timolol 0.5% ophth.? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "ASIAN" AND prescriptions.drug = "Dorzolamide 2%/Timolol 0.5% Ophth." | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Dorzolamide 2%/Timolol 0.5% Ophth." = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "ASIAN" = "demographic"."ethnicity" | 0.246094 |
CREATE TABLE table_name_72 (prom__m_ INT, peak VARCHAR)
| What is the total of Prom in M for Peak great knoutberry hill? | SELECT SUM(prom__m_) FROM table_name_72 WHERE peak = "great knoutberry hill" | SELECT SUM("prom__m_") FROM "table_name_72" WHERE "great knoutberry hill" = "peak" | 0.080078 |
CREATE TABLE table_24101118_1 (processor VARCHAR, model__list_ VARCHAR)
| what is the name of the processor for model x33x0? | SELECT processor FROM table_24101118_1 WHERE model__list_ = "X33x0" | SELECT "processor" FROM "table_24101118_1" WHERE "X33x0" = "model__list_" | 0.071289 |
CREATE TABLE table_67643 ("Name" TEXT, "Height of bridge structure" TEXT, "Longest Span" TEXT, "Type" TEXT, "Opened" FLOAT, "Location" TEXT)
| Where did the cable-stayed Badong Bridge open in 2005? | SELECT "Location" FROM table_67643 WHERE "Type" = 'cable-stayed' AND "Opened" = '2005' AND "Name" = 'badong bridge' | SELECT "Location" FROM "table_67643" WHERE "Name" = 'badong bridge' AND "Opened" = '2005' AND "Type" = 'cable-stayed' | 0.114258 |
CREATE TABLE table_train_194 ("id" INT, "organ_transplantation" BOOLEAN, "systolic_blood_pressure_sbp" INT, "hemoglobin_a1c_hba1c" FLOAT, "substance_dependence" BOOLEAN, "diastolic_blood_pressure_dbp" INT, "alcohol_abuse" BOOLEAN, "age" FLOAT, "NOUSE" FLOAT)
| have had organ transplantation. | SELECT * FROM table_train_194 WHERE organ_transplantation = 1 | SELECT * FROM "table_train_194" WHERE "organ_transplantation" = 1 | 0.063477 |
CREATE TABLE table_name_68 (date VARCHAR, circuit VARCHAR)
| When was the Monza circuit? | SELECT date FROM table_name_68 WHERE circuit = "monza" | SELECT "date" FROM "table_name_68" WHERE "circuit" = "monza" | 0.058594 |
CREATE TABLE table_43267 ("Date" TEXT, "Label" TEXT, "Format" TEXT, "Country" TEXT, "Catalog" TEXT)
| What Date was the Country of japan, and a Label of sony? | SELECT "Date" FROM table_43267 WHERE "Country" = 'japan' AND "Label" = 'sony' | SELECT "Date" FROM "table_43267" WHERE "Country" = 'japan' AND "Label" = 'sony' | 0.077148 |
CREATE TABLE table_71732 ("Hull No." FLOAT, "Year" FLOAT, "Project" TEXT, "Length overall in meters ( without bowsprit ) " FLOAT, "Name" TEXT, "Destination" TEXT)
| Name the sum of hull number for italy and year more than 1999 | SELECT SUM("Hull No.") FROM table_71732 WHERE "Destination" = 'italy' AND "Year" > '1999' | SELECT SUM("Hull No.") FROM "table_71732" WHERE "Destination" = 'italy' AND "Year" > '1999' | 0.088867 |
CREATE TABLE table_36792 ("Rank" TEXT, "Nation" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the smallest gold value that has a total over 15 and bronze values under 31? | SELECT MIN("Gold") FROM table_36792 WHERE "Total" > '15' AND "Bronze" < '31' | SELECT MIN("Gold") FROM "table_36792" WHERE "Bronze" < '31' AND "Total" > '15' | 0.076172 |
CREATE TABLE table_name_21 (chinese__simplified_ VARCHAR, album_number VARCHAR)
| What is the simplified Chinese name for the 9th album? | SELECT chinese__simplified_ FROM table_name_21 WHERE album_number = "9th" | SELECT "chinese__simplified_" FROM "table_name_21" WHERE "9th" = "album_number" | 0.077148 |
CREATE TABLE table_55426 ("Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Loss" TEXT, "Attendance" TEXT, "Record" TEXT)
| What was the loss of the Mariners game when they had a record of 22-35? | SELECT "Loss" FROM table_55426 WHERE "Record" = '22-35' | SELECT "Loss" FROM "table_55426" WHERE "Record" = '22-35' | 0.055664 |
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
| For those employees who was hired before 2002-06-21, visualize a bar chart about the distribution of hire_date and the average of salary bin hire_date by weekday. | SELECT HIRE_DATE, AVG(SALARY) FROM employees WHERE HIRE_DATE < '2002-06-21' | SELECT "HIRE_DATE", AVG("SALARY") FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' | 0.081055 |
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
| When were the top 500 tags created?. | SELECT Tags.TagName, wiki.CreationDate AS "wiki_date", excerpt.CreationDate AS "excerpt_date", MIN(Posts.CreationDate) AS "first_post", COUNT(Tags.TagName) AS Uses FROM (((PostTags INNER JOIN Posts ON PostTags.PostId = Posts.Id) INNER JOIN Tags ON PostTags.TagId = Tags.Id) INNER JOIN Posts AS wiki ON Tags.WikiPostId = wiki.Id) INNER JOIN Posts AS excerpt ON Tags.ExcerptPostId = excerpt.Id GROUP BY Tags.TagName, wiki.CreationDate, excerpt.CreationDate ORDER BY Uses DESC LIMIT 5000 | SELECT "Tags"."TagName", "wiki"."CreationDate" AS "wiki_date", "excerpt"."CreationDate" AS "excerpt_date", MIN("Posts"."CreationDate") AS "first_post", COUNT("Tags"."TagName") AS "Uses" FROM ((("PostTags" JOIN "Posts" ON "PostTags"."PostId" = "Posts"."Id") JOIN "Tags" ON "PostTags"."TagId" = "Tags"."Id") JOIN "Posts" AS "wiki" ON "Tags"."WikiPostId" = "wiki"."Id") JOIN "Posts" AS "excerpt" ON "Tags"."ExcerptPostId" = "excerpt"."Id" GROUP BY "Tags"."TagName", "wiki"."CreationDate", "excerpt"."CreationDate" ORDER BY "Uses" DESC NULLS LAST LIMIT 5000 | 0.540039 |
CREATE TABLE table_204_586 (id DECIMAL, "game" DECIMAL, "date" TEXT, "team" TEXT, "score" TEXT, "high points" TEXT, "high rebounds" TEXT, "high assists" TEXT, "location\ attendance" TEXT, "record" TEXT)
| what is the least number of high assists that were obtained in one 2010 pre season clippers game ? | SELECT MIN("high assists") FROM table_204_586 | SELECT MIN("high assists") FROM "table_204_586" | 0.045898 |
CREATE TABLE table_name_27 (set_3 VARCHAR, total VARCHAR)
| What is the Set 3 when the Total was 98 - 92? | SELECT set_3 FROM table_name_27 WHERE total = "98 - 92" | SELECT "set_3" FROM "table_name_27" WHERE "98 - 92" = "total" | 0.05957 |
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
| Answer and Question Up and Down Votes. Find the total number of question and answer up and down votes on SO. | SELECT (CASE WHEN p.PostTypeId = 1 THEN 'Question' WHEN p.PostTypeId = 2 THEN 'Answer' END) AS "post_type", (CASE WHEN v.VoteTypeId = 2 THEN 'Up Vote' WHEN v.VoteTypeId = 3 THEN 'Down Vote' END) AS "vote_type", COUNT(*) AS Votes FROM Votes AS v JOIN Posts AS p ON v.PostId = p.Id WHERE v.VoteTypeId IN (2, 3) GROUP BY p.PostTypeId, v.VoteTypeId | SELECT (CASE WHEN "p"."PostTypeId" = 1 THEN 'Question' WHEN "p"."PostTypeId" = 2 THEN 'Answer' END) AS "post_type", (CASE WHEN "v"."VoteTypeId" = 2 THEN 'Up Vote' WHEN "v"."VoteTypeId" = 3 THEN 'Down Vote' END) AS "vote_type", COUNT(*) AS "Votes" FROM "Votes" AS "v" JOIN "Posts" AS "p" ON "p"."Id" = "v"."PostId" WHERE "v"."VoteTypeId" IN (2, 3) GROUP BY "p"."PostTypeId", "v"."VoteTypeId" | 0.380859 |
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
| how many days have passed since the first time patient 005-4471 was given a po clear liquids intake on the current intensive care unit visit? | SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', intakeoutput.intakeoutputtime)) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '005-4471') AND patient.unitdischargetime IS NULL) AND intakeoutput.celllabel = 'po clear liquids' AND intakeoutput.cellpath LIKE '%intake%' ORDER BY intakeoutput.intakeoutputtime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '005-4471' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE "patient"."unitdischargetime" IS NULL AND NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "intakeoutput"."intakeoutputtime")) FROM "intakeoutput" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'po clear liquids' AND "intakeoutput"."cellpath" LIKE '%intake%' AND NOT "_u_1"."" IS NULL ORDER BY "intakeoutput"."intakeoutputtime" NULLS FIRST LIMIT 1 | 0.761719 |
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
| number of comments per Customer. | SELECT UserId, COUNT(PostId) AS num_of_comments FROM Comments LEFT JOIN Users ON Comments.Id = Users.Id GROUP BY UserId | SELECT "UserId", COUNT("PostId") AS "num_of_comments" FROM "Comments" LEFT JOIN "Users" ON "Comments"."Id" = "Users"."Id" GROUP BY "UserId" | 0.135742 |
CREATE TABLE table_name_53 (team VARCHAR, rank VARCHAR, rider VARCHAR)
| Rank larger than 5, and a Rider of paul shoesmith belongs to what team? | SELECT team FROM table_name_53 WHERE rank > 5 AND rider = "paul shoesmith" | SELECT "team" FROM "table_name_53" WHERE "paul shoesmith" = "rider" AND "rank" > 5 | 0.080078 |
CREATE TABLE table_27734577_13 (team VARCHAR, high_assists VARCHAR)
| What team was the opponent when josh smith (8) had the high assists? | SELECT team FROM table_27734577_13 WHERE high_assists = "Josh Smith (8)" | SELECT "team" FROM "table_27734577_13" WHERE "Josh Smith (8)" = "high_assists" | 0.076172 |
CREATE TABLE table_2528382_1 (song VARCHAR, additional_info VARCHAR)
| Which song has Drunkard Groom listed as additional information? | SELECT song FROM table_2528382_1 WHERE additional_info = "Drunkard Groom" | SELECT "song" FROM "table_2528382_1" WHERE "Drunkard Groom" = "additional_info" | 0.077148 |
CREATE TABLE table_name_44 (Id VARCHAR)
| What 1983 has a 1975 of career statistics? | SELECT 1983 FROM table_name_44 WHERE 1975 = "career statistics" | SELECT 1983 FROM "table_name_44" WHERE "career statistics" = 1975 | 0.063477 |
CREATE TABLE table_26188 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Location" TEXT, "Final Score" TEXT, "Attendance" FLOAT, "Record" TEXT)
| Which opponents are on the date July 22? | SELECT "Opponent" FROM table_26188 WHERE "Date" = 'July 22' | SELECT "Opponent" FROM "table_26188" WHERE "Date" = 'July 22' | 0.05957 |
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
| tell me patient 012-4131's minimum heartrate on last month/22? | SELECT MIN(vitalperiodic.heartrate) FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '012-4131')) AND NOT vitalperiodic.heartrate IS NULL AND DATETIME(vitalperiodic.observationtime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND STRFTIME('%d', vitalperiodic.observationtime) = '22' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '012-4131' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT MIN("vitalperiodic"."heartrate") FROM "vitalperiodic" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE DATETIME("vitalperiodic"."observationtime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."heartrate" IS NULL AND STRFTIME('%d', "vitalperiodic"."observationtime") = '22' | 0.733398 |
CREATE TABLE table_name_48 (lyrics VARCHAR, date VARCHAR, catalog_number VARCHAR)
| In what language is the Lyrics of the release on August 10, 2005 with Catalog number of TOCP-66427? | SELECT lyrics FROM table_name_48 WHERE date = "august 10, 2005" AND catalog_number = "tocp-66427" | SELECT "lyrics" FROM "table_name_48" WHERE "august 10, 2005" = "date" AND "catalog_number" = "tocp-66427" | 0.102539 |
CREATE TABLE table_name_16 (year INT, genre VARCHAR)
| What year had Third-Person Shooter? | SELECT AVG(year) FROM table_name_16 WHERE genre = "third-person shooter" | SELECT AVG("year") FROM "table_name_16" WHERE "genre" = "third-person shooter" | 0.076172 |
CREATE TABLE table_42626 ("Position" FLOAT, "Team" TEXT, "Points" FLOAT, "Played" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Against" FLOAT, "Difference" TEXT)
| Which Played has a Points of 2, and a Position smaller than 8? | SELECT AVG("Played") FROM table_42626 WHERE "Points" = '2' AND "Position" < '8' | SELECT AVG("Played") FROM "table_42626" WHERE "Points" = '2' AND "Position" < '8' | 0.079102 |
CREATE TABLE Apartment_Facilities (apt_id INT, facility_code CHAR)
CREATE TABLE Apartment_Buildings (building_id INT, building_short_name CHAR, building_full_name VARCHAR, building_description VARCHAR, building_address VARCHAR, building_manager VARCHAR, building_phone VARCHAR)
CREATE TABLE Apartments (apt_id INT, building_id INT, apt_type_code CHAR, apt_number CHAR, bathroom_count INT, bedroom_count INT, room_count CHAR)
CREATE TABLE Guests (guest_id INT, gender_code CHAR, guest_first_name VARCHAR, guest_last_name VARCHAR, date_of_birth DATETIME)
CREATE TABLE Apartment_Bookings (apt_booking_id INT, apt_id INT, guest_id INT, booking_status_code CHAR, booking_start_date DATETIME, booking_end_date DATETIME)
CREATE TABLE View_Unit_Status (apt_id INT, apt_booking_id INT, status_date DATETIME, available_yn BIT)
| Show me a line chart of how how many booking end date change over the booking end date, and sort by the x-axis in desc please. | SELECT booking_end_date, COUNT(booking_end_date) FROM Apartment_Bookings GROUP BY booking_end_date ORDER BY booking_end_date DESC | SELECT "booking_end_date", COUNT("booking_end_date") FROM "Apartment_Bookings" GROUP BY "booking_end_date" ORDER BY "booking_end_date" DESC NULLS LAST | 0.146484 |
CREATE TABLE purchase (member_id DECIMAL, branch_id TEXT, year TEXT, total_pounds DECIMAL)
CREATE TABLE membership_register_branch (member_id DECIMAL, branch_id TEXT, register_year TEXT)
CREATE TABLE member (member_id DECIMAL, card_number TEXT, name TEXT, hometown TEXT, level DECIMAL)
CREATE TABLE branch (branch_id DECIMAL, name TEXT, open_year TEXT, address_road TEXT, city TEXT, membership_amount TEXT)
| Show all distinct city where branches with at least 100 memberships are located. | SELECT DISTINCT city FROM branch WHERE membership_amount >= 100 | SELECT DISTINCT "city" FROM "branch" WHERE "membership_amount" >= 100 | 0.067383 |
CREATE TABLE table_42794 ("Name" TEXT, "Innings" FLOAT, "Runs Scored" FLOAT, "Balls Faced" FLOAT, "Average" FLOAT, "S.R." FLOAT)
| Which S.R. has a Average smaller than 23.63 Runs Scored of 49? | SELECT "S.R." FROM table_42794 WHERE "Average" < '23.63' AND "Runs Scored" = '49' | SELECT "S.R." FROM "table_42794" WHERE "Average" < '23.63' AND "Runs Scored" = '49' | 0.081055 |
CREATE TABLE table_8445 ("Name" TEXT, "Country" TEXT, "Role" TEXT, "Period" TEXT, "Teams" TEXT)
| Which period has the team CS Sedan? | SELECT "Period" FROM table_8445 WHERE "Teams" = 'cs sedan' | SELECT "Period" FROM "table_8445" WHERE "Teams" = 'cs sedan' | 0.058594 |
CREATE TABLE table_name_3 (second_member VARCHAR, first_member VARCHAR, second_party VARCHAR)
| Who is the second member with first member Sir Rowland Hill, BT, and a conservative second party? | SELECT second_member FROM table_name_3 WHERE first_member = "sir rowland hill, bt" AND second_party = "conservative" | SELECT "second_member" FROM "table_name_3" WHERE "conservative" = "second_party" AND "first_member" = "sir rowland hill, bt" | 0.121094 |
CREATE TABLE table_204_17 (id DECIMAL, "region" TEXT, "date" TEXT, "format" TEXT, "version ( s ) " TEXT, "label" TEXT)
| did the cd single come out before the digital ep ? | SELECT (SELECT "date" FROM table_204_17 WHERE "format" = 'cd single') < (SELECT "date" FROM table_204_17 WHERE "format" = 'digital ep') | SELECT (SELECT "date" FROM "table_204_17" WHERE "format" = 'cd single') < (SELECT "date" FROM "table_204_17" WHERE "format" = 'digital ep') | 0.135742 |
CREATE TABLE table_name_56 (Id VARCHAR)
| What was the 1989 result for the tournament with 1984 of a, 1985 of a, and 1990 of a? | SELECT 1989 FROM table_name_56 WHERE 1984 = "a" AND 1985 = "a" AND 1990 = "a" | SELECT 1989 FROM "table_name_56" WHERE "a" = 1984 AND "a" = 1985 AND "a" = 1990 | 0.077148 |
CREATE TABLE candidate (Candidate_ID INT, People_ID INT, Poll_Source TEXT, Date TEXT, Support_rate FLOAT, Consider_rate FLOAT, Oppose_rate FLOAT, Unsure_rate FLOAT)
CREATE TABLE people (People_ID INT, Sex TEXT, Name TEXT, Date_of_Birth TEXT, Height FLOAT, Weight FLOAT)
| Give me the comparison about the sum of Weight over the Sex , and group by attribute Sex by a bar chart, and show from high to low by the y axis please. | SELECT Sex, SUM(Weight) FROM people GROUP BY Sex ORDER BY SUM(Weight) DESC | SELECT "Sex", SUM("Weight") FROM "people" GROUP BY "Sex" ORDER BY SUM("Weight") DESC NULLS LAST | 0.092773 |
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
| give me the five most common diagnoses in this year? | SELECT d_icd_diagnoses.short_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.icd9_code IN (SELECT t1.icd9_code FROM (SELECT diagnoses_icd.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM diagnoses_icd WHERE DATETIME(diagnoses_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY diagnoses_icd.icd9_code) AS t1 WHERE t1.c1 <= 5) | WITH "t1" AS (SELECT "diagnoses_icd"."icd9_code", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "diagnoses_icd" WHERE DATETIME("diagnoses_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY "diagnoses_icd"."icd9_code"), "_u_0" AS (SELECT "t1"."icd9_code" FROM "t1" AS "t1" WHERE "t1"."c1" <= 5 GROUP BY "icd9_code") SELECT "d_icd_diagnoses"."short_title" FROM "d_icd_diagnoses" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "d_icd_diagnoses"."icd9_code" WHERE NOT "_u_0"."" IS NULL | 0.532227 |
CREATE TABLE table_name_58 (pick VARCHAR, player VARCHAR, nfl_club VARCHAR)
| Which Pick has a Player of chuck bryant, and an NFL Club of san diego chargers? | SELECT pick FROM table_name_58 WHERE player = "chuck bryant" AND nfl_club = "san diego chargers" | SELECT "pick" FROM "table_name_58" WHERE "chuck bryant" = "player" AND "nfl_club" = "san diego chargers" | 0.101563 |
CREATE TABLE table_train_141 ("id" INT, "gender" TEXT, "hypothyroidism" BOOLEAN, "depression" BOOLEAN, "mini_mental_state_examination_mmse" INT, "neuropsychiatric_diagnoses" BOOLEAN, "memory_box" FLOAT, "early_stage_ad" BOOLEAN, "head_injury" BOOLEAN, "stroke" BOOLEAN, "body_weight" FLOAT, "major_medical_illness" BOOLEAN, "rbans_dmi" INT, "psychosis" BOOLEAN, "alzheimer_disease_ad" BOOLEAN, "diabetes" BOOLEAN, "body_mass_index_bmi" FLOAT, "ad" BOOLEAN, "hypertension" BOOLEAN, "clinical_dementia_rating_cdr" FLOAT, "age" FLOAT, "NOUSE" FLOAT)
| male or female between the ages of 55 and 85 years with a clinical diagnosis of early stage ad, defined according to the following criteria assessed during screening and at baseline : clinical dementia rating ( cdr ) score of 0.5 or 1 with memory box score of 0.5 or greater ; mmse score of 20 or greater ; rbans dmi score <= 85 | SELECT * FROM table_train_141 WHERE (gender = 'male' OR gender = 'female') AND (age >= 55 AND age <= 85) AND early_stage_ad = 1 OR (clinical_dementia_rating_cdr = 0.5 OR clinical_dementia_rating_cdr = 1 AND memory_box >= 0.5) OR mini_mental_state_examination_mmse >= 20 OR rbans_dmi <= 85 | SELECT * FROM "table_train_141" WHERE ("age" <= 85 OR "clinical_dementia_rating_cdr" = 0.5 OR "clinical_dementia_rating_cdr" = 1 OR "mini_mental_state_examination_mmse" >= 20 OR "rbans_dmi" <= 85) AND ("age" <= 85 OR "memory_box" >= 0.5 OR "mini_mental_state_examination_mmse" >= 20 OR "rbans_dmi" <= 85) AND ("age" >= 55 OR "clinical_dementia_rating_cdr" = 0.5 OR "clinical_dementia_rating_cdr" = 1 OR "mini_mental_state_examination_mmse" >= 20 OR "rbans_dmi" <= 85) AND ("age" >= 55 OR "memory_box" >= 0.5 OR "mini_mental_state_examination_mmse" >= 20 OR "rbans_dmi" <= 85) AND ("clinical_dementia_rating_cdr" = 0.5 OR "clinical_dementia_rating_cdr" = 1 OR "early_stage_ad" = 1 OR "mini_mental_state_examination_mmse" >= 20 OR "rbans_dmi" <= 85) AND ("clinical_dementia_rating_cdr" = 0.5 OR "clinical_dementia_rating_cdr" = 1 OR "gender" = 'female' OR "gender" = 'male' OR "mini_mental_state_examination_mmse" >= 20 OR "rbans_dmi" <= 85) AND ("early_stage_ad" = 1 OR "memory_box" >= 0.5 OR "mini_mental_state_examination_mmse" >= 20 OR "rbans_dmi" <= 85) AND ("gender" = 'female' OR "gender" = 'male' OR "memory_box" >= 0.5 OR "mini_mental_state_examination_mmse" >= 20 OR "rbans_dmi" <= 85) | 1.165039 |
CREATE TABLE table_name_25 (club VARCHAR, founded VARCHAR)
| Which club was founded in 1962? | SELECT club FROM table_name_25 WHERE founded = 1962 | SELECT "club" FROM "table_name_25" WHERE "founded" = 1962 | 0.055664 |
CREATE TABLE table_44148 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Game site" TEXT, "Record" TEXT, "Attendance" FLOAT)
| What was the record on the date of september 15, 1968? | SELECT "Record" FROM table_44148 WHERE "Date" = 'september 15, 1968' | SELECT "Record" FROM "table_44148" WHERE "Date" = 'september 15, 1968' | 0.068359 |
CREATE TABLE table_name_6 (wireless_network VARCHAR, screen_type VARCHAR, internal_storage VARCHAR)
| Which wireless network did LCD displays with 4 GB of internal storage use? | SELECT wireless_network FROM table_name_6 WHERE screen_type = "lcd" AND internal_storage = "4 gb" | SELECT "wireless_network" FROM "table_name_6" WHERE "4 gb" = "internal_storage" AND "lcd" = "screen_type" | 0.102539 |
CREATE TABLE table_61002 ("Date" TEXT, "Opponent" TEXT, "Home/Away" TEXT, "Field" TEXT, "Result" TEXT)
| what is the result from texas stadium? | SELECT "Result" FROM table_61002 WHERE "Field" = 'texas stadium' | SELECT "Result" FROM "table_61002" WHERE "Field" = 'texas stadium' | 0.064453 |
CREATE TABLE table_203_853 (id DECIMAL, "date" TEXT, "opponent" TEXT, "home/away" TEXT, "field" TEXT, "result" TEXT)
| what was the difference in score between the barrage and the lizards on june 2 . | SELECT ABS("result" - "result") FROM table_203_853 WHERE "date" = 'june 2' | SELECT ABS("result" - "result") FROM "table_203_853" WHERE "date" = 'june 2' | 0.074219 |
CREATE TABLE table_64399 ("Season" FLOAT, "Series" TEXT, "Team" TEXT, "Races" TEXT, "Wins" TEXT, "Poles" TEXT, "F/Laps" TEXT, "Podiums" TEXT, "Points" TEXT, "Position" TEXT)
| What Podiums listing has a World Rally Championship series entry? | SELECT "Podiums" FROM table_64399 WHERE "Series" = 'world rally championship' | SELECT "Podiums" FROM "table_64399" WHERE "Series" = 'world rally championship' | 0.077148 |
CREATE TABLE table_14090 ("Japanese Title" TEXT, "Romaji Title" TEXT, "TV Station" TEXT, "Episodes" TEXT, "Average Ratings" TEXT)
| What's the average rating when the Romanji title was Mendol? | SELECT "Average Ratings" FROM table_14090 WHERE "Romaji Title" = 'mendol' | SELECT "Average Ratings" FROM "table_14090" WHERE "Romaji Title" = 'mendol' | 0.073242 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| give me the number of patients whose marital status is married and diagnoses icd9 code is 59080? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.marital_status = "MARRIED" AND diagnoses.icd9_code = "59080" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "59080" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "MARRIED" = "demographic"."marital_status" | 0.217773 |
CREATE TABLE table_37438 ("Race" TEXT, "Length" TEXT, "Class" TEXT, "Circuit" TEXT, "Date" TEXT)
| Which circuit has a length of 45 minutes and is held on August 6? | SELECT "Circuit" FROM table_37438 WHERE "Length" = '45 minutes' AND "Date" = 'august 6' | SELECT "Circuit" FROM "table_37438" WHERE "Date" = 'august 6' AND "Length" = '45 minutes' | 0.086914 |
CREATE TABLE table_name_6 (score VARCHAR, year VARCHAR)
| What was the 1991 score? | SELECT score FROM table_name_6 WHERE year = "1991" | SELECT "score" FROM "table_name_6" WHERE "1991" = "year" | 0.054688 |
CREATE TABLE table_64989 ("Game" TEXT, "Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Location" TEXT, "Record" TEXT)
| Where was the September 3 game? | SELECT "Location" FROM table_64989 WHERE "Date" = 'september 3' | SELECT "Location" FROM "table_64989" WHERE "Date" = 'september 3' | 0.063477 |
CREATE TABLE table_11157 ("Position" FLOAT, "Club" TEXT, "Played" FLOAT, "Points" FLOAT, "Wins" FLOAT, "Draws" FLOAT, "Losses" FLOAT, "Goals for" FLOAT, "Goals against" FLOAT, "Goal Difference" FLOAT)
| What is the low win count with more than 72 goals? | SELECT MIN("Wins") FROM table_11157 WHERE "Goals for" > '72' | SELECT MIN("Wins") FROM "table_11157" WHERE "Goals for" > '72' | 0.060547 |
CREATE TABLE table_name_66 (Id VARCHAR)
| What is the average 3620 value that has a 5432 of 1277 and a 15122 less than 1540? | SELECT AVG(3620) FROM table_name_66 WHERE 5432 = 1277 AND 15122 < 1540 | SELECT AVG(3620) FROM "table_name_66" WHERE FALSE | 0.047852 |
CREATE TABLE table_20424140_3 (couple VARCHAR, average VARCHAR)
| What couple has an average of 17.2? | SELECT couple FROM table_20424140_3 WHERE average = "17.2" | SELECT "couple" FROM "table_20424140_3" WHERE "17.2" = "average" | 0.0625 |
CREATE TABLE table_name_15 (to_par VARCHAR, score VARCHAR)
| What is the to par score of the player that had a score of 67-68=135? | SELECT to_par FROM table_name_15 WHERE score = 67 - 68 = 135 | SELECT "to_par" FROM "table_name_15" WHERE "score" = FALSE | 0.056641 |
CREATE TABLE table_name_35 (fleet_number_s_ VARCHAR, quantity_made VARCHAR)
| Which fleet numbers has quanitity of 13? | SELECT fleet_number_s_ FROM table_name_35 WHERE quantity_made = "13" | SELECT "fleet_number_s_" FROM "table_name_35" WHERE "13" = "quantity_made" | 0.072266 |
CREATE TABLE table_78255 ("Years" TEXT, "Supervisor" TEXT, "Clerk" TEXT, "Treasurer" TEXT, "Highway Commissioners" TEXT)
| Who was the clerk when the highway commissioner was Albert Lewis? | SELECT "Clerk" FROM table_78255 WHERE "Highway Commissioners" = 'albert lewis' | SELECT "Clerk" FROM "table_78255" WHERE "Highway Commissioners" = 'albert lewis' | 0.078125 |
CREATE TABLE table_train_85 ("id" INT, "mini_mental_state_examination_mmse" INT, "elevated_serum_phenylalanine" INT, "elevated_creatinine" FLOAT, "renal_disease" BOOLEAN, "geriatric_depression_scale_gds" INT, "NOUSE" FLOAT)
| mini _ mental status exam score < 25 . | SELECT * FROM table_train_85 WHERE mini_mental_state_examination_mmse < 25 | SELECT * FROM "table_train_85" WHERE "mini_mental_state_examination_mmse" < 25 | 0.076172 |
CREATE TABLE table_25997 ("Province" TEXT, "Mahmoud Ahmadinejad" FLOAT, "Mehdi Karroubi" FLOAT, "Mir-Hossein Mousavi" FLOAT, "Mohsen Rezaee" FLOAT, "Spoiled ballots" FLOAT, "Total votes" FLOAT)
| Display the lowest score for candidate Mir-Hossein Mousavi when candidate Mohsen Rezaee scored 44809 votes | SELECT MIN("Mir-Hossein Mousavi") FROM table_25997 WHERE "Mohsen Rezaee" = '44809' | SELECT MIN("Mir-Hossein Mousavi") FROM "table_25997" WHERE "Mohsen Rezaee" = '44809' | 0.082031 |
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
| A bar chart about what is the total revenue of each manufacturer?, display by the X from low to high. | SELECT Name, SUM(Revenue) FROM Manufacturers GROUP BY Name ORDER BY Name | SELECT "Name", SUM("Revenue") FROM "Manufacturers" GROUP BY "Name" ORDER BY "Name" NULLS FIRST | 0.091797 |
CREATE TABLE table_1654 ("Season" TEXT, "Series" TEXT, "Team Name" TEXT, "Races" FLOAT, "Poles" FLOAT, "Wins" FLOAT, "Points" FLOAT, "Final Placing" TEXT)
| When the wins is 3, what is the maximum races? | SELECT MAX("Races") FROM table_1654 WHERE "Wins" = '3' | SELECT MAX("Races") FROM "table_1654" WHERE "Wins" = '3' | 0.054688 |
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
| when patient 033-250 during their first hospital encounter last received a procedure? | SELECT treatment.treatmenttime FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '033-250' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime LIMIT 1)) ORDER BY treatment.treatmenttime DESC LIMIT 1 | SELECT "treatment"."treatmenttime" FROM "treatment" WHERE "treatment"."patientunitstayid" IN (SELECT "patient"."patientunitstayid" FROM "patient" WHERE "patient"."patienthealthsystemstayid" IN (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '033-250' AND NOT "patient"."hospitaldischargetime" IS NULL ORDER BY "patient"."hospitaladmittime" NULLS FIRST LIMIT 1)) ORDER BY "treatment"."treatmenttime" DESC NULLS LAST LIMIT 1 | 0.454102 |
CREATE TABLE table_name_9 (year VARCHAR, event VARCHAR, position VARCHAR)
| What year did she place 8th in the junior race? | SELECT year FROM table_name_9 WHERE event = "junior race" AND position = "8th" | SELECT "year" FROM "table_name_9" WHERE "8th" = "position" AND "event" = "junior race" | 0.083984 |
CREATE TABLE table_19210 ("Name" TEXT, "2011 Census" FLOAT, "2006 Census" FLOAT, "% change" TEXT, "Land area ( km\\u00b2 ) " TEXT, "Density ( pop/km\\u00b2 ) " TEXT, "Population rank" FLOAT)
| When the change is 8.8%, what is the density (pop/km )? | SELECT "Density (pop/km\u00b2)" FROM table_19210 WHERE "% change" = '8.8' | SELECT "Density (pop/km\u00b2)" FROM "table_19210" WHERE "% change" = '8.8' | 0.073242 |
CREATE TABLE table_203_734 (id DECIMAL, "year" DECIMAL, "competition" TEXT, "venue" TEXT, "position" TEXT, "event" TEXT, "notes" TEXT)
| what competition is lorenzo 's top position in ? | SELECT "competition" FROM table_203_734 ORDER BY "position" LIMIT 1 | SELECT "competition" FROM "table_203_734" ORDER BY "position" NULLS FIRST LIMIT 1 | 0.079102 |
CREATE TABLE table_4824 ("Award" TEXT, "Year" FLOAT, "Category" TEXT, "Nominated Work" TEXT, "Result" TEXT)
| What was the result of the film made before 2005, winner of the robert award, in the category of best actress? | SELECT "Result" FROM table_4824 WHERE "Category" = 'best actress' AND "Year" < '2005' AND "Award" = 'robert award' | SELECT "Result" FROM "table_4824" WHERE "Award" = 'robert award' AND "Category" = 'best actress' AND "Year" < '2005' | 0.113281 |
CREATE TABLE table_18812411_3 (r1 VARCHAR, country VARCHAR)
| How many times did Fiji win r1? | SELECT COUNT(r1) FROM table_18812411_3 WHERE country = "Fiji" | SELECT COUNT("r1") FROM "table_18812411_3" WHERE "Fiji" = "country" | 0.06543 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| Find the route of administration for Influenza Virus Vaccine. | SELECT prescriptions.route FROM prescriptions WHERE prescriptions.drug = "Influenza Virus Vaccine" | SELECT "prescriptions"."route" FROM "prescriptions" WHERE "Influenza Virus Vaccine" = "prescriptions"."drug" | 0.105469 |
CREATE TABLE table_1272844_2 (vote VARCHAR, finish VARCHAR)
| How many votes were taken when the outcome was '6th voted out day 12'? | SELECT COUNT(vote) FROM table_1272844_2 WHERE finish = "6th voted Out Day 12" | SELECT COUNT("vote") FROM "table_1272844_2" WHERE "6th voted Out Day 12" = "finish" | 0.081055 |
CREATE TABLE table_12020 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| What is the away team at lake oval? | SELECT "Away team" FROM table_12020 WHERE "Venue" = 'lake oval' | SELECT "Away team" FROM "table_12020" WHERE "Venue" = 'lake oval' | 0.063477 |
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
| count the number of current patients whose age is in their 40s. | SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE admissions.dischtime IS NULL AND admissions.age BETWEEN 40 AND 49 | SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "admissions" WHERE "admissions"."age" <= 49 AND "admissions"."age" >= 40 AND "admissions"."dischtime" IS NULL | 0.15918 |
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