schema
stringlengths 29
5.42k
| question
stringlengths 0
752
| rejected
stringlengths 2
4.44k
| chosen
stringlengths 4
8.94k
| weight
float64 0
8.73
|
|---|---|---|---|---|
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 demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| count the number of patients whose insurance is self pay and whose procedure long title is monitoring of cardiac output by other technique. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Self Pay" AND procedures.long_title = "Monitoring of cardiac output by other technique" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Monitoring of cardiac output by other technique" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "Self Pay" = "demographic"."insurance" | 0.258789 |
CREATE TABLE table_name_40 (week NUMBER, record VARCHAR2)
| What is the earliest week that shows a record of 8 5? | SELECT MIN(week) FROM table_name_40 WHERE record = "8–5" | SELECT MIN("week") FROM "table_name_40" WHERE "8–5" = "record" | 0.060547 |
CREATE TABLE table_42474 ("Tie no" CLOB, "Home team" CLOB, "Score" CLOB, "Away team" CLOB, "Date" CLOB, "Attendance" FLOAT)
| What home team has 8 ties? | SELECT "Home team" FROM table_42474 WHERE "Tie no" = '8' | SELECT "Home team" FROM "table_42474" WHERE "Tie no" = '8' | 0.056641 |
CREATE TABLE table_28435 ("Sd" FLOAT, "Rk" FLOAT, "Player" CLOB, "Points" FLOAT, "Points defending" FLOAT, "Points won" FLOAT, "New points" FLOAT, "Status" CLOB)
| How many times is player Stanislas Wawrinka on the list? | SELECT COUNT("Points defending") FROM table_28435 WHERE "Player" = 'Stanislas Wawrinka' | SELECT COUNT("Points defending") FROM "table_28435" WHERE "Player" = 'Stanislas Wawrinka' | 0.086914 |
CREATE TABLE table_204_872 (id NUMBER, "name" CLOB, "completed" CLOB, "architect" CLOB, "location" CLOB, "year of listing & ref ( s ) " NUMBER)
| which two buildings were listed before 1974 ? | SELECT "name" FROM table_204_872 WHERE "year of listing & ref(s)" < 1974 | SELECT "name" FROM "table_204_872" WHERE "year of listing & ref(s)" < 1974 | 0.072266 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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)
| count the number of patients whose ethnicity is american indian/alaska native and procedure long title is initial insertion of single-chamber device, rate responsive? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.ethnicity = "AMERICAN INDIAN/ALASKA NATIVE" AND procedures.long_title = "Initial insertion of single-chamber device, rate responsive" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Initial insertion of single-chamber device, rate responsive" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "AMERICAN INDIAN/ALASKA NATIVE" = "demographic"."ethnicity" | 0.291016 |
CREATE TABLE table_name_82 (date VARCHAR2, away_team VARCHAR2)
| What day did South Melbourne play as the away team? | SELECT date FROM table_name_82 WHERE away_team = "south melbourne" | SELECT "date" FROM "table_name_82" WHERE "away_team" = "south melbourne" | 0.070313 |
CREATE TABLE table_42995 ("Player" CLOB, "Nationality" CLOB, "Position" CLOB, "Years in Orlando" CLOB, "School/Club Team" CLOB)
| Which School/Club Team has a Player of deandre liggins? | SELECT "School/Club Team" FROM table_42995 WHERE "Player" = 'deandre liggins' | SELECT "School/Club Team" FROM "table_42995" WHERE "Player" = 'deandre liggins' | 0.077148 |
CREATE TABLE table_17972193_1 (record VARCHAR2, opponent VARCHAR2)
| What was the game record when the opponent was 'at Los Angeles Raiders'? | SELECT record FROM table_17972193_1 WHERE opponent = "at Los Angeles Raiders" | SELECT "record" FROM "table_17972193_1" WHERE "at Los Angeles Raiders" = "opponent" | 0.081055 |
CREATE TABLE table_name_53 (points__pts_ NUMBER, team__equipo_ VARCHAR2, lost__pp_ VARCHAR2)
| What is the largest number of points for Orion with more than 4 losses? | SELECT MAX(points__pts_) FROM table_name_53 WHERE team__equipo_ = "orion" AND lost__pp_ > 4 | SELECT MAX("points__pts_") FROM "table_name_53" WHERE "lost__pp_" > 4 AND "orion" = "team__equipo_" | 0.09668 |
CREATE TABLE table_1342292_17 (district VARCHAR2, incumbent VARCHAR2)
| What district is incumbent robert l. mouton from? | SELECT district FROM table_1342292_17 WHERE incumbent = "Robert L. Mouton" | SELECT "district" FROM "table_1342292_17" WHERE "Robert L. Mouton" = "incumbent" | 0.078125 |
CREATE TABLE table_12384 ("Year" FLOAT, "Gold" CLOB, "Silver" CLOB, "Bronze" CLOB, "Notes" CLOB)
| What is Notes, when Gold is 'Thierry Gueorgiou', when Year is before 2008, and when Bronze is 'Valentin Novikov'? | SELECT "Notes" FROM table_12384 WHERE "Gold" = 'thierry gueorgiou' AND "Year" < '2008' AND "Bronze" = 'valentin novikov' | SELECT "Notes" FROM "table_12384" WHERE "Bronze" = 'valentin novikov' AND "Gold" = 'thierry gueorgiou' AND "Year" < '2008' | 0.119141 |
CREATE TABLE table_20944 ("Round" FLOAT, "Circuit" CLOB, "Date" CLOB, "Pole Position" CLOB, "Fastest Lap" CLOB, "Winning Driver" CLOB, "Winning Team" CLOB)
| Who was the winning driver at Okayama International Circuit? | SELECT "Winning Driver" FROM table_20944 WHERE "Circuit" = 'Okayama International Circuit' | SELECT "Winning Driver" FROM "table_20944" WHERE "Circuit" = 'Okayama International Circuit' | 0.089844 |
CREATE TABLE Project_Outcomes (project_id NUMBER, outcome_code VARCHAR2, outcome_details VARCHAR2)
CREATE TABLE Tasks (task_id NUMBER, project_id NUMBER, task_details VARCHAR2, "eg Agree Objectives" VARCHAR2)
CREATE TABLE Organisations (organisation_id NUMBER, organisation_type VARCHAR2, organisation_details VARCHAR2)
CREATE TABLE Research_Staff (staff_id NUMBER, employer_organisation_id NUMBER, staff_details VARCHAR2)
CREATE TABLE Grants (grant_id NUMBER, organisation_id NUMBER, grant_amount NUMBER, grant_start_date DATETIME, grant_end_date DATETIME, other_details VARCHAR2)
CREATE TABLE Projects (project_id NUMBER, organisation_id NUMBER, project_details VARCHAR2)
CREATE TABLE Staff_Roles (role_code VARCHAR2, role_description VARCHAR2)
CREATE TABLE Organisation_Types (organisation_type VARCHAR2, organisation_type_description VARCHAR2)
CREATE TABLE Document_Types (document_type_code VARCHAR2, document_description VARCHAR2)
CREATE TABLE Research_Outcomes (outcome_code VARCHAR2, outcome_description VARCHAR2)
CREATE TABLE Documents (document_id NUMBER, document_type_code VARCHAR2, grant_id NUMBER, sent_date DATETIME, response_received_date DATETIME, other_details VARCHAR2)
CREATE TABLE Project_Staff (staff_id DOUBLE PRECISION, project_id NUMBER, role_code VARCHAR2, date_from DATETIME, date_to DATETIME, other_details VARCHAR2)
| how many staff does each project has? List the project id and the number in an ascending order. | SELECT T1.project_id, COUNT(*) FROM Project_Staff AS T1 JOIN Projects AS T2 ON T1.project_id = T2.project_id GROUP BY T1.project_id ORDER BY COUNT(*) | SELECT "T1"."project_id", COUNT(*) FROM "Project_Staff" "T1" JOIN "Projects" "T2" ON "T1"."project_id" = "T2"."project_id" GROUP BY "T1"."project_id" ORDER BY COUNT(*) | 0.163086 |
CREATE TABLE actor (aid NUMBER, gender CLOB, name CLOB, nationality CLOB, birth_city CLOB, birth_year NUMBER)
CREATE TABLE movie (mid NUMBER, title CLOB, release_year NUMBER, title_aka CLOB, budget CLOB)
CREATE TABLE written_by (id NUMBER, msid NUMBER, wid NUMBER)
CREATE TABLE producer (pid NUMBER, gender CLOB, name CLOB, nationality CLOB, birth_city CLOB, birth_year NUMBER)
CREATE TABLE tv_series (sid NUMBER, title CLOB, release_year NUMBER, num_of_seasons NUMBER, num_of_episodes NUMBER, title_aka CLOB, budget CLOB)
CREATE TABLE made_by (id NUMBER, msid NUMBER, pid NUMBER)
CREATE TABLE cast (id NUMBER, msid NUMBER, aid NUMBER, role CLOB)
CREATE TABLE classification (id NUMBER, msid NUMBER, gid NUMBER)
CREATE TABLE tags (id NUMBER, msid NUMBER, kid NUMBER)
CREATE TABLE company (id NUMBER, name CLOB, country_code VARCHAR2)
CREATE TABLE directed_by (id NUMBER, msid NUMBER, did NUMBER)
CREATE TABLE genre (gid NUMBER, genre CLOB)
CREATE TABLE writer (wid NUMBER, gender CLOB, name CLOB, nationality CLOB, birth_city CLOB, birth_year NUMBER)
CREATE TABLE keyword (id NUMBER, keyword CLOB)
CREATE TABLE copyright (id NUMBER, msid NUMBER, cid NUMBER)
CREATE TABLE director (did NUMBER, gender CLOB, name CLOB, nationality CLOB, birth_city CLOB, birth_year NUMBER)
| List all the Sci-Fi movies which released in 2010 | SELECT movie.title FROM classification, genre, movie WHERE genre.genre = 'Sci-Fi' AND genre.gid = classification.gid AND movie.mid = classification.msid AND movie.release_year = 2010 | SELECT "movie"."title" FROM "classification" JOIN "genre" ON "classification"."gid" = "genre"."gid" AND "genre"."genre" = 'Sci-Fi' JOIN "movie" ON "classification"."msid" = "movie"."mid" AND "movie"."release_year" = 2010 | 0.214844 |
CREATE TABLE table_18491 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" FLOAT, "Result" CLOB, "Candidates" CLOB)
| Name the minumim first elected for alvin bush | SELECT MIN("First elected") FROM table_18491 WHERE "Incumbent" = 'Alvin Bush' | SELECT MIN("First elected") FROM "table_18491" WHERE "Incumbent" = 'Alvin Bush' | 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 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 lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| what is the number of patients who prefer spanish language? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.language = "SPAN" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "SPAN" = "demographic"."language" | 0.105469 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is the number of patients whose drug code is hald5i? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.formulary_drug_cd = "HALD5I" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "HALD5I" = "prescriptions"."formulary_drug_cd" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.19043 |
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
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 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 medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
| i mean how many hours has it been since the first time patient 004-79017 had a ns intake on the current icu visit? | SELECT 24 * (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 = '004-79017') AND patient.unitdischargetime IS NULL) AND intakeoutput.celllabel = 'ns' AND intakeoutput.cellpath LIKE '%intake%' ORDER BY intakeoutput.intakeoutputtime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '004-79017' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE "patient"."unitdischargetime" IS NULL AND NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "intakeoutput"."intakeoutputtime")) FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'ns' AND "intakeoutput"."cellpath" LIKE '%intake%' AND NOT "_u_1"."" IS NULL ORDER BY "intakeoutput"."intakeoutputtime" FETCH FIRST 1 ROWS ONLY | 0.748047 |
CREATE TABLE table_name_7 (alternate__2_ VARCHAR2, coach VARCHAR2, captain VARCHAR2)
| Who is the alternate for Andy Brown, and Nick Grady? | SELECT alternate__2_ FROM table_name_7 WHERE coach = "andy brown" AND captain = "nick grady" | SELECT "alternate__2_" FROM "table_name_7" WHERE "andy brown" = "coach" AND "captain" = "nick grady" | 0.097656 |
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)
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)
| give me the number of patients whose procedure icd9 code is 4601 and drug route is iv bolus? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE procedures.icd9_code = "4601" AND prescriptions.route = "IV BOLUS" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "IV BOLUS" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" JOIN "procedures" ON "4601" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" | 0.286133 |
CREATE TABLE table_19292 ("Celebrity" CLOB, "Famous for" CLOB, "Entered" CLOB, "Exited" CLOB, "Finished" CLOB)
| How many people finished 9th? | SELECT COUNT("Exited") FROM table_19292 WHERE "Finished" = '9th' | SELECT COUNT("Exited") FROM "table_19292" WHERE "Finished" = '9th' | 0.064453 |
CREATE TABLE table_35871 ("Res." CLOB, "Record" CLOB, "Opponent" CLOB, "Method" CLOB, "Event" CLOB, "Round" CLOB)
| The record of 11-1 used what method? | SELECT "Method" FROM table_35871 WHERE "Record" = '11-1' | SELECT "Method" FROM "table_35871" WHERE "Record" = '11-1' | 0.056641 |
CREATE TABLE table_name_3 (home VARCHAR2, visitor VARCHAR2, record VARCHAR2)
| What team did the Montreal Canadiens visit when the record was 0-3? | SELECT home FROM table_name_3 WHERE visitor = "montreal canadiens" AND record = "0-3" | SELECT "home" FROM "table_name_3" WHERE "0-3" = "record" AND "montreal canadiens" = "visitor" | 0.09082 |
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
| 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 job_id and salary , and could you order Y-axis in ascending order? | 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 table_name_24 (player VARCHAR2, college_junior_club_team__league_ VARCHAR2)
| Who was the Player when College/Junior/Club Team (League) was regina pats (whl)? | SELECT player FROM table_name_24 WHERE college_junior_club_team__league_ = "regina pats (whl)" | SELECT "player" FROM "table_name_24" WHERE "college_junior_club_team__league_" = "regina pats (whl)" | 0.097656 |
CREATE TABLE table_1376890_2 (chroma_format VARCHAR2, name VARCHAR2)
| how many chroma format with name being high profile | SELECT COUNT(chroma_format) FROM table_1376890_2 WHERE name = "High profile" | SELECT COUNT("chroma_format") FROM "table_1376890_2" WHERE "High profile" = "name" | 0.080078 |
CREATE TABLE table_name_13 (january NUMBER, opponent VARCHAR2, points VARCHAR2)
| Which January is the lowest one that has an Opponent of florida panthers, and Points smaller than 59? | SELECT MIN(january) FROM table_name_13 WHERE opponent = "florida panthers" AND points < 59 | SELECT MIN("january") FROM "table_name_13" WHERE "florida panthers" = "opponent" AND "points" < 59 | 0.095703 |
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 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 lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
| how tall is patient 010-39202 when first measured in 12/this year? | SELECT patient.admissionheight FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '010-39202') AND NOT patient.admissionheight IS NULL AND DATETIME(patient.unitadmittime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND STRFTIME('%m', patient.unitadmittime) = '12' ORDER BY patient.unitadmittime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '010-39202' GROUP BY "patienthealthsystemstayid") SELECT "patient"."admissionheight" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE DATETIME("patient"."unitadmittime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_0"."" IS NULL AND NOT "patient"."admissionheight" IS NULL AND STRFTIME('%m', "patient"."unitadmittime") = '12' ORDER BY "patient"."unitadmittime" FETCH FIRST 1 ROWS ONLY | 0.564453 |
CREATE TABLE table_name_82 (representing VARCHAR2, original_title VARCHAR2)
| Name the representating for ingenj r andr es luftf rd | SELECT representing FROM table_name_82 WHERE original_title = "ingenjör andrées luftfärd" | SELECT "representing" FROM "table_name_82" WHERE "ingenjör andrées luftfärd" = "original_title" | 0.092773 |
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE flight_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 ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
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 restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE 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 days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description 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 city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
| what is airline NW | SELECT DISTINCT airline_code FROM airline WHERE airline_code = 'NW' | SELECT DISTINCT "airline_code" FROM "airline" WHERE "airline_code" = 'NW' | 0.071289 |
CREATE TABLE table_203_216 (id NUMBER, "rank" NUMBER, "hospital" CLOB, "city" CLOB, "county" CLOB, "# beds" NUMBER, "type of hospital" CLOB)
| how many more general acute care hospitals are there in california than rehabilitation hospitals ? | SELECT (SELECT COUNT("hospital") FROM table_203_216 WHERE "type of hospital" = 'general acute care') - (SELECT COUNT("hospital") FROM table_203_216 WHERE "type of hospital" = 'rehabilitaion') | SELECT (SELECT COUNT("hospital") FROM "table_203_216" WHERE "type of hospital" = 'general acute care') - (SELECT COUNT("hospital") FROM "table_203_216" WHERE "type of hospital" = 'rehabilitaion') | 0.19043 |
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
| Find answers from a given user. | SELECT p.Score, p.CreationDate, p.Id, p.ParentId, pp.Title, pp.CreationDate FROM Posts AS p JOIN Posts AS pp ON p.ParentId = pp.Id WHERE p.OwnerUserId = '##UserId##' AND p.PostTypeId = 2 | SELECT "p"."Score", "p"."CreationDate", "p"."Id", "p"."ParentId", "pp"."Title", "pp"."CreationDate" FROM "Posts" "p" JOIN "Posts" "pp" ON "p"."ParentId" = "pp"."Id" WHERE "p"."OwnerUserId" = '##UserId##' AND "p"."PostTypeId" = 2 | 0.222656 |
CREATE TABLE table_40991 ("Club" CLOB, "Played" CLOB, "Drawn" CLOB, "Lost" CLOB, "Points for" CLOB, "Points against" CLOB, "Tries For" CLOB, "Tries Against" CLOB, "Try Bonus" CLOB, "Losing Bonus" CLOB, "Points" CLOB)
| How many tries for are associated with 5 points and 2 tries against? | SELECT "Tries For" FROM table_40991 WHERE "Points" = '5' AND "Tries Against" = '2' | SELECT "Tries For" FROM "table_40991" WHERE "Points" = '5' AND "Tries Against" = '2' | 0.082031 |
CREATE TABLE Students (student_id NUMBER, date_of_registration DATETIME, date_of_latest_logon DATETIME, login_name VARCHAR2, password VARCHAR2, personal_name VARCHAR2, middle_name VARCHAR2, family_name VARCHAR2)
CREATE TABLE Course_Authors_and_Tutors (author_id NUMBER, author_tutor_ATB VARCHAR2, login_name VARCHAR2, password VARCHAR2, personal_name VARCHAR2, middle_name VARCHAR2, family_name VARCHAR2, gender_mf VARCHAR2, address_line_1 VARCHAR2)
CREATE TABLE Courses (course_id NUMBER, author_id NUMBER, subject_id NUMBER, course_name VARCHAR2, course_description VARCHAR2)
CREATE TABLE Subjects (subject_id NUMBER, subject_name VARCHAR2)
CREATE TABLE Student_Tests_Taken (registration_id NUMBER, date_test_taken DATETIME, test_result VARCHAR2)
CREATE TABLE Student_Course_Enrolment (registration_id NUMBER, student_id NUMBER, course_id NUMBER, date_of_enrolment DATETIME, date_of_completion DATETIME)
| Return the number of the completion date for all the tests that have 'Fail' result, and rank by the bar in asc. | SELECT date_of_completion, COUNT(date_of_completion) FROM Student_Course_Enrolment AS T1 JOIN Student_Tests_Taken AS T2 ON T1.registration_id = T2.registration_id WHERE T2.test_result = "Fail" GROUP BY date_of_completion ORDER BY date_of_completion | SELECT "date_of_completion", COUNT("date_of_completion") FROM "Student_Course_Enrolment" "T1" JOIN "Student_Tests_Taken" "T2" ON "Fail" = "T2"."test_result" AND "T1"."registration_id" = "T2"."registration_id" GROUP BY "date_of_completion" ORDER BY "date_of_completion" | 0.261719 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
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)
| provide the number of patients whose diagnoses short title is acq coagul factor defic and drug route is neb? | 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.short_title = "Acq coagul factor defic" AND prescriptions.route = "NEB" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Acq coagul factor defic" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "NEB" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.298828 |
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE flight (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 fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE flight_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 date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
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)
| is there a flight from BOSTON to SAN FRANCISCO making a stopover in DALLAS FORT WORTH | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, airport_service AS AIRPORT_SERVICE_2, airport_service AS AIRPORT_SERVICE_3, city AS CITY_0, city AS CITY_1, city AS CITY_2, city AS CITY_3, flight, flight_stop AS FLIGHT_STOP_0, flight_stop AS FLIGHT_STOP_1 WHERE ((CITY_2.city_code = AIRPORT_SERVICE_2.city_code AND CITY_2.city_name = 'DALLAS' AND CITY_3.city_code = AIRPORT_SERVICE_3.city_code AND CITY_3.city_name = 'FORT WORTH' AND FLIGHT_STOP_0.stop_airport = AIRPORT_SERVICE_2.airport_code AND FLIGHT_STOP_1.stop_airport = AIRPORT_SERVICE_3.airport_code AND flight.flight_id = FLIGHT_STOP_0.flight_id AND flight.flight_id = FLIGHT_STOP_1.flight_id) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = '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_stop" "FLIGHT_STOP_0" ON "FLIGHT_STOP_0"."flight_id" = "flight"."flight_id" JOIN "flight_stop" "FLIGHT_STOP_1" ON "FLIGHT_STOP_1"."flight_id" = "flight"."flight_id" JOIN "airport_service" "AIRPORT_SERVICE_2" ON "AIRPORT_SERVICE_2"."airport_code" = "FLIGHT_STOP_0"."stop_airport" JOIN "airport_service" "AIRPORT_SERVICE_3" ON "AIRPORT_SERVICE_3"."airport_code" = "FLIGHT_STOP_1"."stop_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SAN FRANCISCO' JOIN "city" "CITY_2" ON "AIRPORT_SERVICE_2"."city_code" = "CITY_2"."city_code" AND "CITY_2"."city_name" = 'DALLAS' JOIN "city" "CITY_3" ON "AIRPORT_SERVICE_3"."city_code" = "CITY_3"."city_code" AND "CITY_3"."city_name" = 'FORT WORTH' | 1.112305 |
CREATE TABLE WINE (Grape VARCHAR2)
| What are the numbers of wines for different grapes? | SELECT COUNT(*), Grape FROM WINE GROUP BY Grape | SELECT COUNT(*), "Grape" FROM "WINE" GROUP BY "Grape" | 0.051758 |
CREATE TABLE table_name_16 (laps NUMBER, points VARCHAR2, grid VARCHAR2)
| Who has the lowest laps with 29 points on 1 grid? | SELECT MIN(laps) FROM table_name_16 WHERE points = 29 AND grid < 1 | SELECT MIN("laps") FROM "table_name_16" WHERE "grid" < 1 AND "points" = 29 | 0.072266 |
CREATE TABLE table_name_9 (name VARCHAR2, regional_county_municipality VARCHAR2, code VARCHAR2)
| What is the name for the regional county municipality of d'autray and a code less than 52017? | SELECT name FROM table_name_9 WHERE regional_county_municipality = "d'autray" AND code < 52017 | SELECT "name" FROM "table_name_9" WHERE "code" < 52017 AND "d'autray" = "regional_county_municipality" | 0.099609 |
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 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)
| provide the number of emergency hospital admission patients who have nafcillin prescription. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND prescriptions.drug = "Nafcillin" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Nafcillin" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "EMERGENCY" = "demographic"."admission_type" | 0.230469 |
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
| What Greek Religion classes satisfy the PreMajor requirement ? | SELECT DISTINCT course.department, course.name, course.number FROM course INNER JOIN area ON course.course_id = area.course_id INNER JOIN program_course ON program_course.course_id = course.course_id WHERE (area.area LIKE '%Greek Religion%' OR course.description LIKE '%Greek Religion%' OR course.name LIKE '%Greek Religion%') AND program_course.category LIKE '%PreMajor%' | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "area" ON ("area"."area" LIKE '%Greek Religion%' OR "course"."description" LIKE '%Greek Religion%' OR "course"."name" LIKE '%Greek Religion%') AND "area"."course_id" = "course"."course_id" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%PreMajor%' | 0.398438 |
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime 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 intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE 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 medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
| list the time of the hospital admission of patient 017-37716 in 2103. | SELECT patient.hospitaladmittime FROM patient WHERE patient.uniquepid = '017-37716' AND STRFTIME('%y', patient.hospitaladmittime) = '2103' | SELECT "patient"."hospitaladmittime" FROM "patient" WHERE "patient"."uniquepid" = '017-37716' AND STRFTIME('%y', "patient"."hospitaladmittime") = '2103' | 0.148438 |
CREATE TABLE table_13471 ("Event" CLOB, "Record" CLOB, "Nationality" CLOB, "Date" CLOB, "Games" CLOB)
| On what date were the 1997 Bridgetown games in which a Martinique girl competed? | SELECT "Date" FROM table_13471 WHERE "Nationality" = 'martinique' AND "Games" = '1997 bridgetown' | SELECT "Date" FROM "table_13471" WHERE "Games" = '1997 bridgetown' AND "Nationality" = 'martinique' | 0.09668 |
CREATE TABLE table_name_40 (home_town VARCHAR2, name VARCHAR2)
| What is the Home Town with a Name with rob cunningham? | SELECT home_town FROM table_name_40 WHERE name = "rob cunningham" | SELECT "home_town" FROM "table_name_40" WHERE "name" = "rob cunningham" | 0.069336 |
CREATE TABLE table_23383 ("Ballpark" CLOB, "Location" CLOB, "Team" CLOB, "Opened" FLOAT, "Closed" FLOAT, "Demod" FLOAT, "Current Status" CLOB)
| Where is the ballpark of the Twins? | SELECT "Location" FROM table_23383 WHERE "Team" = 'Twins' | SELECT "Location" FROM "table_23383" WHERE "Team" = 'Twins' | 0.057617 |
CREATE TABLE table_41429 ("Tournament" CLOB, "2003" CLOB, "2004" CLOB, "2012" CLOB, "2013" CLOB)
| What is the result from 2003 from the US Open? | SELECT "2003" FROM table_41429 WHERE "Tournament" = 'us open' | SELECT "2003" FROM "table_41429" WHERE "Tournament" = 'us open' | 0.061523 |
CREATE TABLE table_25237 ("Rnd" FLOAT, "Date" CLOB, "Race Name" CLOB, "Length" CLOB, "Track" CLOB, "Location" CLOB, "Type" CLOB, "Pole Position" CLOB, "Winning Driver" CLOB)
| How many races took place on October 1? | SELECT COUNT("Race Name") FROM table_25237 WHERE "Date" = 'October 1' | SELECT COUNT("Race Name") FROM "table_25237" WHERE "Date" = 'October 1' | 0.069336 |
CREATE TABLE table_46763 ("Round" FLOAT, "Pick" FLOAT, "Player" CLOB, "Position" CLOB, "School/Club Team" CLOB)
| What is the average pick of school/club team kutztown state with a round 4? | SELECT AVG("Pick") FROM table_46763 WHERE "Round" = '4' AND "School/Club Team" = 'kutztown state' | SELECT AVG("Pick") FROM "table_46763" WHERE "Round" = '4' AND "School/Club Team" = 'kutztown state' | 0.09668 |
CREATE TABLE table_name_70 (party VARCHAR2, incumbent VARCHAR2)
| Which party had an incumbent of W. Jasper Talbert? | SELECT party FROM table_name_70 WHERE incumbent = "w. jasper talbert" | SELECT "party" FROM "table_name_70" WHERE "incumbent" = "w. jasper talbert" | 0.073242 |
CREATE TABLE table_26076 ("Game" FLOAT, "Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Location" CLOB, "Attendance" FLOAT, "Record" CLOB, "Points" FLOAT)
| Name the location of buffalo sabres | SELECT "Location" FROM table_26076 WHERE "Opponent" = 'Buffalo Sabres' | SELECT "Location" FROM "table_26076" WHERE "Opponent" = 'Buffalo Sabres' | 0.070313 |
CREATE TABLE table_23915973_1 (power_kw VARCHAR2, frequency VARCHAR2)
| How many power kw have a frequency of 93.7 mhz? | SELECT COUNT(power_kw) FROM table_23915973_1 WHERE frequency = "93.7 MHz" | SELECT COUNT("power_kw") FROM "table_23915973_1" WHERE "93.7 MHz" = "frequency" | 0.077148 |
CREATE TABLE table_name_36 (issue_price VARCHAR2, mintage VARCHAR2)
| A mintage of 31,997 has what issue price? | SELECT issue_price FROM table_name_36 WHERE mintage = "31,997" | SELECT "issue_price" FROM "table_name_36" WHERE "31,997" = "mintage" | 0.066406 |
CREATE TABLE table_53912 ("Pick #" FLOAT, "CFL Team" CLOB, "Player" CLOB, "Position" CLOB, "College" CLOB)
| What is Colorado College's lowest pick number? | SELECT MIN("Pick #") FROM table_53912 WHERE "College" = 'colorado' | SELECT MIN("Pick #") FROM "table_53912" WHERE "College" = 'colorado' | 0.066406 |
CREATE TABLE table_13302 ("Period" CLOB, "Internet Explorer" CLOB, "Firefox" CLOB, "Safari" CLOB, "Opera" CLOB, "Netscape" CLOB, "Other Mozilla" CLOB)
| What percentage of users were using Safari during the period in which 2.33% were using Opera? | SELECT "Safari" FROM table_13302 WHERE "Opera" = '2.33%' | SELECT "Safari" FROM "table_13302" WHERE "Opera" = '2.33%' | 0.056641 |
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE 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 medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE 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)
| how many hours has elapsed since patient 027-82318 first received a laboratory test of bicarbonate on the current hospital encounter? | SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', 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 = '027-82318' AND patient.hospitaldischargetime IS NULL)) AND lab.labname = 'bicarbonate' ORDER BY lab.labresulttime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."hospitaldischargetime" IS NULL AND "patient"."uniquepid" = '027-82318' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "lab"."labresulttime")) FROM "lab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'bicarbonate' AND NOT "_u_1"."" IS NULL ORDER BY "lab"."labresulttime" FETCH FIRST 1 ROWS ONLY | 0.664063 |
CREATE TABLE table_26245 ("No" FLOAT, "Player" CLOB, "Height ( m ) " CLOB, "Height ( f ) " CLOB, "Position" CLOB, "Year born" FLOAT, "Current Club" CLOB)
| Which players were born in 1983 and play as forward position? | SELECT "Player" FROM table_26245 WHERE "Year born" = '1983' AND "Position" = 'Forward' | SELECT "Player" FROM "table_26245" WHERE "Position" = 'Forward' AND "Year born" = '1983' | 0.085938 |
CREATE TABLE dependent (Dependent_name VARCHAR2, relationship VARCHAR2)
| find all dependent names who have a spouse relation with some employee. | SELECT Dependent_name FROM dependent WHERE relationship = 'Spouse' | SELECT "Dependent_name" FROM "dependent" WHERE "relationship" = 'Spouse' | 0.070313 |
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
| Retrieve questions with particular xtics. | SELECT * FROM PostHistory WHERE PostId = 1001082 | SELECT * FROM "PostHistory" WHERE "PostId" = 1001082 | 0.050781 |
CREATE TABLE table_71178 ("Player" CLOB, "Country" CLOB, "Caps" FLOAT, "Goals" CLOB, "Years Active" CLOB, "Years at Club" CLOB)
| How many goals were scored by Eugene Galekovi ? | SELECT "Goals" FROM table_71178 WHERE "Player" = 'eugene galeković' | SELECT "Goals" FROM "table_71178" WHERE "Player" = 'eugene galeković' | 0.067383 |
CREATE TABLE table_74565 ("Area" CLOB, "Advertisement date" CLOB, "Block" CLOB, "Winning applicant" CLOB, "Ensemble name" CLOB)
| Who is the Winning Applicant of Block 10B in Derbyshire Area? | SELECT "Winning applicant" FROM table_74565 WHERE "Block" = '10b' AND "Area" = 'derbyshire' | SELECT "Winning applicant" FROM "table_74565" WHERE "Area" = 'derbyshire' AND "Block" = '10b' | 0.09082 |
CREATE TABLE table_name_41 (date VARCHAR2, venue VARCHAR2, opponent VARCHAR2)
| What was the date of the match at venue A with the celtic as the opponent? | SELECT date FROM table_name_41 WHERE venue = "a" AND opponent = "celtic" | SELECT "date" FROM "table_name_41" WHERE "a" = "venue" AND "celtic" = "opponent" | 0.078125 |
CREATE TABLE table_name_40 (rank NUMBER, year VARCHAR2)
| In 1950 what is the average rank? | SELECT AVG(rank) FROM table_name_40 WHERE year = 1950 | SELECT AVG("rank") FROM "table_name_40" WHERE "year" = 1950 | 0.057617 |
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)
| find the number of widow patients who had insertion of 2 vascular stents. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.marital_status = "WIDOWED" AND procedures.short_title = "Insert 2 vascular stents" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Insert 2 vascular stents" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "WIDOWED" = "demographic"."marital_status" | 0.241211 |
CREATE TABLE table_name_89 (change NUMBER, _percentage_votes VARCHAR2, seats VARCHAR2)
| What is the change number with fewer than 4.7% votes and more than 0 seats? | SELECT SUM(change) FROM table_name_89 WHERE _percentage_votes < 4.7 AND seats > 0 | SELECT SUM("change") FROM "table_name_89" WHERE "_percentage_votes" < 4.7 AND "seats" > 0 | 0.086914 |
CREATE TABLE table_71113 ("Year" CLOB, "Start" CLOB, "Qual" CLOB, "Rank" CLOB, "Finish" CLOB, "Laps" FLOAT)
| What is the rank of the 150.163 qual? | SELECT "Rank" FROM table_71113 WHERE "Qual" = '150.163' | SELECT "Rank" FROM "table_71113" WHERE "Qual" = '150.163' | 0.055664 |
CREATE TABLE table_name_5 (week VARCHAR2, result VARCHAR2, attendance VARCHAR2)
| Which Week had a Result of w 10-0, and an Attendance smaller than 58,571? | SELECT COUNT(week) FROM table_name_5 WHERE result = "w 10-0" AND attendance < 58 OFFSET 571 | SELECT COUNT("week") FROM "table_name_5" WHERE "attendance" < 58 AND "result" = "w 10-0" OFFSET 571 ROWS | 0.101563 |
CREATE TABLE table_9728 ("Tournament" CLOB, "Surface" CLOB, "Week" CLOB, "Winner" CLOB, "Finalist" CLOB, "Semi finalists" CLOB)
| Which Tournament has a Semi finalists of monica seles sandrine testud? | SELECT "Tournament" FROM table_9728 WHERE "Semi finalists" = 'monica seles sandrine testud' | SELECT "Tournament" FROM "table_9728" WHERE "Semi finalists" = 'monica seles sandrine testud' | 0.09082 |
CREATE TABLE table_21361 ("Date" CLOB, "Opponent" CLOB, "Venue" CLOB, "Result" CLOB, "Attendance" CLOB, "Competition" CLOB, "Man of the Match" CLOB)
| who was the opponent where the date was the 21st? | SELECT "Opponent" FROM table_21361 WHERE "Date" = '21st' | SELECT "Opponent" FROM "table_21361" WHERE "Date" = '21st' | 0.056641 |
CREATE TABLE Maintenance_Engineers (engineer_id NUMBER, company_id NUMBER, first_name VARCHAR2, last_name VARCHAR2, other_details VARCHAR2)
CREATE TABLE Assets (asset_id NUMBER, maintenance_contract_id NUMBER, supplier_company_id NUMBER, asset_details VARCHAR2, asset_make VARCHAR2, asset_model VARCHAR2, asset_acquired_date DATETIME, asset_disposed_date DATETIME, other_asset_details VARCHAR2)
CREATE TABLE Skills (skill_id NUMBER, skill_code VARCHAR2, skill_description VARCHAR2)
CREATE TABLE Third_Party_Companies (company_id NUMBER, company_type VARCHAR2, company_name VARCHAR2, company_address VARCHAR2, other_company_details VARCHAR2)
CREATE TABLE Asset_Parts (asset_id NUMBER, part_id NUMBER)
CREATE TABLE Parts (part_id NUMBER, part_name VARCHAR2, chargeable_yn VARCHAR2, chargeable_amount VARCHAR2, other_part_details VARCHAR2)
CREATE TABLE Fault_Log (fault_log_entry_id NUMBER, asset_id NUMBER, recorded_by_staff_id NUMBER, fault_log_entry_datetime DATETIME, fault_description VARCHAR2, other_fault_details VARCHAR2)
CREATE TABLE Fault_Log_Parts (fault_log_entry_id NUMBER, part_fault_id NUMBER, fault_status VARCHAR2)
CREATE TABLE Maintenance_Contracts (maintenance_contract_id NUMBER, maintenance_contract_company_id NUMBER, contract_start_date DATETIME, contract_end_date DATETIME, other_contract_details VARCHAR2)
CREATE TABLE Engineer_Skills (engineer_id NUMBER, skill_id NUMBER)
CREATE TABLE Staff (staff_id NUMBER, staff_name VARCHAR2, gender VARCHAR2, other_staff_details VARCHAR2)
CREATE TABLE Skills_Required_To_Fix (part_fault_id NUMBER, skill_id NUMBER)
CREATE TABLE Engineer_Visits (engineer_visit_id NUMBER, contact_staff_id NUMBER, engineer_id NUMBER, fault_log_entry_id NUMBER, fault_status VARCHAR2, visit_start_datetime DATETIME, visit_end_datetime DATETIME, other_visit_details VARCHAR2)
CREATE TABLE Part_Faults (part_fault_id NUMBER, part_id NUMBER, fault_short_name VARCHAR2, fault_description VARCHAR2, other_fault_details VARCHAR2)
| List the number of enginners and group by first name in a bar chart, and rank by the how many first name from high to low. | SELECT first_name, COUNT(first_name) FROM Maintenance_Engineers AS T1 JOIN Engineer_Skills AS T2 ON T1.engineer_id = T2.engineer_id JOIN Skills AS T3 ON T2.skill_id = T3.skill_id GROUP BY first_name ORDER BY COUNT(first_name) DESC | SELECT "first_name", COUNT("first_name") FROM "Maintenance_Engineers" "T1" JOIN "Engineer_Skills" "T2" ON "T1"."engineer_id" = "T2"."engineer_id" JOIN "Skills" "T3" ON "T2"."skill_id" = "T3"."skill_id" GROUP BY "first_name" ORDER BY COUNT("first_name") DESC | 0.250977 |
CREATE TABLE table_10429820_13 (in_ames VARCHAR2)
| When the value of 'since beginning of big 12' is synonymous with its' category, what are the in Ames values? | SELECT in_ames FROM table_10429820_13 WHERE "since_beginning_of_big_12" = "since_beginning_of_big_12" | SELECT "in_ames" FROM "table_10429820_13" WHERE "since_beginning_of_big_12" = "since_beginning_of_big_12" | 0.102539 |
CREATE TABLE table_name_62 (home VARCHAR2, visitor VARCHAR2, date VARCHAR2)
| What was the home team that played Vancouver on April 29? | SELECT home FROM table_name_62 WHERE visitor = "vancouver" AND date = "april 29" | SELECT "home" FROM "table_name_62" WHERE "april 29" = "date" AND "vancouver" = "visitor" | 0.085938 |
CREATE TABLE table_32429 ("Week" FLOAT, "Kickoff" CLOB, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Record" CLOB, "Game site" CLOB, "Attendance" CLOB)
| What was the attendance for Week 1? | SELECT "Attendance" FROM table_32429 WHERE "Week" = '1' | SELECT "Attendance" FROM "table_32429" WHERE "Week" = '1' | 0.055664 |
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 demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| count the number of patients whose admission type was newborn and discharge location was home. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "NEWBORN" AND demographic.discharge_location = "HOME" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "HOME" = "demographic"."discharge_location" AND "NEWBORN" = "demographic"."admission_type" | 0.161133 |
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
| -- How many upvotes do I have for each tag? -- how long before I get tag badges? DECLARE @UserId in. | SELECT TagName, COUNT(*) AS UpVotes FROM Tags INNER JOIN PostTags ON PostTags.TagId = Tags.Id INNER JOIN Posts ON Posts.ParentId = PostTags.PostId INNER JOIN Votes ON Votes.PostId = Posts.Id AND VoteTypeId = 2 WHERE Posts.OwnerUserId = @UserId GROUP BY TagName ORDER BY UpVotes DESC | SELECT "TagName", COUNT(*) AS "UpVotes" FROM "Tags" JOIN "PostTags" ON "PostTags"."TagId" = "Tags"."Id" JOIN "Posts" ON "PostTags"."PostId" = "Posts"."ParentId" AND "Posts"."OwnerUserId" = @UserId JOIN "Votes" ON "Posts"."Id" = "Votes"."PostId" AND "VoteTypeId" = 2 GROUP BY "TagName" ORDER BY "UpVotes" DESC | 0.300781 |
CREATE TABLE table_32258 ("Year" FLOAT, "Competition" CLOB, "Venue" CLOB, "Position" CLOB, "Notes" CLOB)
| What position did he finish after 1998 and a note time of 2:31:40? | SELECT "Position" FROM table_32258 WHERE "Year" > '1998' AND "Notes" = '2:31:40' | SELECT "Position" FROM "table_32258" WHERE "Notes" = '2:31:40' AND "Year" > '1998' | 0.080078 |
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE 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 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 lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
| how many patients have received a diagnosis of anemia - anemia of renal disease in 2105. | SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE patient.patientunitstayid IN (SELECT diagnosis.patientunitstayid FROM diagnosis WHERE diagnosis.diagnosisname = 'anemia - anemia of renal disease' AND STRFTIME('%y', diagnosis.diagnosistime) = '2105') | WITH "_u_0" AS (SELECT "diagnosis"."patientunitstayid" FROM "diagnosis" WHERE "diagnosis"."diagnosisname" = 'anemia - anemia of renal disease' AND STRFTIME('%y', "diagnosis"."diagnosistime") = '2105' GROUP BY "patientunitstayid") SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patientunitstayid" WHERE NOT "_u_0"."" IS NULL | 0.376953 |
CREATE TABLE table_207795_1 (type_of_work VARCHAR2, published_in_english VARCHAR2, published_in_russian VARCHAR2)
| when it published in english is n/a and published in russian is 1986, what is the type of work? | SELECT type_of_work FROM table_207795_1 WHERE published_in_english = "N/A" AND published_in_russian = "1986" | SELECT "type_of_work" FROM "table_207795_1" WHERE "1986" = "published_in_russian" AND "N/A" = "published_in_english" | 0.113281 |
CREATE TABLE Projects (Project_ID NUMBER, Project_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 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 Accounts (Account_ID NUMBER, Statement_ID NUMBER, Account_Details VARCHAR2)
CREATE TABLE Ref_Budget_Codes (Budget_Type_Code CHAR, Budget_Type_Description VARCHAR2)
| Show me a bar chart for what are the different budget type codes, and how many documents are there for each?, display by the x axis in ascending. | SELECT Budget_Type_Code, COUNT(*) FROM Documents_with_Expenses GROUP BY Budget_Type_Code ORDER BY Budget_Type_Code | SELECT "Budget_Type_Code", COUNT(*) FROM "Documents_with_Expenses" GROUP BY "Budget_Type_Code" ORDER BY "Budget_Type_Code" | 0.119141 |
CREATE TABLE table_10125 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Attendance" CLOB, "Record" CLOB)
| What was the attendance at the game when the record was 35-46? | SELECT "Attendance" FROM table_10125 WHERE "Record" = '35-46' | SELECT "Attendance" FROM "table_10125" WHERE "Record" = '35-46' | 0.061523 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE 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)
| how many patients whose diagnoses long title is diabetes mellitus without mention of complication, type ii or unspecified type, not stated as uncontrolled and drug route is oral? | 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.long_title = "Diabetes mellitus without mention of complication, type II or unspecified type, not stated as uncontrolled" AND prescriptions.route = "ORAL" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Diabetes mellitus without mention of complication, type II or unspecified type, not stated as uncontrolled" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "ORAL" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.379883 |
CREATE TABLE table_57989 ("Season" CLOB, "Team" CLOB, "Country" CLOB, "League" CLOB, "Level" FLOAT, "Apps" FLOAT, "Goals" FLOAT)
| What Season has Goals greater than 0 and less than 33 Apps? | SELECT "Season" FROM table_57989 WHERE "Goals" > '0' AND "Apps" < '33' | SELECT "Season" FROM "table_57989" WHERE "Apps" < '33' AND "Goals" > '0' | 0.070313 |
CREATE TABLE professor (emp_num NUMBER, dept_code CLOB, prof_office CLOB, prof_extension CLOB, prof_high_degree CLOB)
CREATE TABLE department (dept_code CLOB, dept_name CLOB, school_code CLOB, emp_num NUMBER, dept_address CLOB, dept_extension CLOB)
CREATE TABLE enroll (class_code CLOB, stu_num NUMBER, enroll_grade CLOB)
CREATE TABLE class (class_code CLOB, crs_code CLOB, class_section CLOB, class_time CLOB, class_room CLOB, prof_num NUMBER)
CREATE TABLE course (crs_code CLOB, dept_code CLOB, crs_description CLOB, crs_credit NUMBER)
CREATE TABLE employee (emp_num NUMBER, emp_lname CLOB, emp_fname CLOB, emp_initial CLOB, emp_jobcode CLOB, emp_hiredate TIME, emp_dob TIME)
CREATE TABLE student (stu_num NUMBER, stu_lname CLOB, stu_fname CLOB, stu_init CLOB, stu_dob TIME, stu_hrs NUMBER, stu_class CLOB, stu_gpa NUMBER, stu_transfer NUMBER, dept_code CLOB, stu_phone CLOB, prof_num NUMBER)
| What is the school code of the accounting department? | SELECT school_code FROM department WHERE dept_name = "Accounting" | SELECT "school_code" FROM "department" WHERE "Accounting" = "dept_name" | 0.069336 |
CREATE TABLE table_71411 ("Ensemble" CLOB, "Gold Medals" FLOAT, "Silver Medals" FLOAT, "Bronze Medals" FLOAT, "Total Medals" FLOAT)
| What was the average total medals received by Roland Hayes School when there were 0 gold medals? | SELECT AVG("Total Medals") FROM table_71411 WHERE "Gold Medals" = '0' AND "Ensemble" = 'roland hayes school' | SELECT AVG("Total Medals") FROM "table_71411" WHERE "Ensemble" = 'roland hayes school' AND "Gold Medals" = '0' | 0.107422 |
CREATE TABLE table_69866 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB, "Money ( $ ) " FLOAT)
| What is the highest amount of money a play from Scotland United States has? | SELECT MAX("Money ( $ )") FROM table_69866 WHERE "Country" = 'scotland united states' | SELECT MAX("Money ( $ )") FROM "table_69866" WHERE "Country" = 'scotland united states' | 0.084961 |
CREATE TABLE table_17759 ("No." FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Bens location" CLOB, "Original air date" CLOB, "U.S. viewers ( million ) " CLOB)
| What was the original air date for the episode with 3.90 u.s. viewers (millions)? | SELECT "Original air date" FROM table_17759 WHERE "U.S. viewers (million)" = '3.90' | SELECT "Original air date" FROM "table_17759" WHERE "U.S. viewers (million)" = '3.90' | 0.083008 |
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
| Up and down vote count for user. | SELECT VoteTypeId AS type, COUNT(*) FROM Votes AS v WHERE VoteTypeId IN (2, 3) AND v.PostId IN (SELECT p.Id FROM Posts AS p WHERE p.PostTypeId = 2 AND p.OwnerUserId = '##USERID##') GROUP BY VoteTypeId | WITH "_u_0" AS (SELECT "p"."Id" FROM "Posts" "p" WHERE "p"."OwnerUserId" = '##USERID##' AND "p"."PostTypeId" = 2 GROUP BY "Id") SELECT "VoteTypeId" AS "type", COUNT(*) FROM "Votes" "v" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "v"."PostId" WHERE "VoteTypeId" IN (2, 3) AND NOT "_u_0"."" IS NULL GROUP BY "VoteTypeId" | 0.305664 |
CREATE TABLE table_65530 ("Rank" CLOB, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| Which Silver has a Total of 1, and a Rank of 12? | SELECT MIN("Silver") FROM table_65530 WHERE "Total" = '1' AND "Rank" = '12' | SELECT MIN("Silver") FROM "table_65530" WHERE "Rank" = '12' AND "Total" = '1' | 0.075195 |
CREATE TABLE table_9293 ("Player" CLOB, "Games" FLOAT, "Returns" FLOAT, "Yards" FLOAT, "Long" FLOAT, "Yards per return" FLOAT)
| Can you tell me the Player that has the Long larger than 28, and the Yards of 222? | SELECT "Player" FROM table_9293 WHERE "Long" > '28' AND "Yards" = '222' | SELECT "Player" FROM "table_9293" WHERE "Long" > '28' AND "Yards" = '222' | 0.071289 |
CREATE TABLE table_23670057_4 (no VARCHAR2, position VARCHAR2)
| Display the serial numbers for the players who play at the center. | SELECT no FROM table_23670057_4 WHERE position = "Center" | SELECT "no" FROM "table_23670057_4" WHERE "Center" = "position" | 0.061523 |
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE 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 departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
| For all employees who have the letters D or S in their first name, give me the comparison about the average of manager_id over the job_id , and group by attribute job_id by a bar chart, and rank JOB_ID in desc order. | SELECT JOB_ID, AVG(MANAGER_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY JOB_ID DESC | SELECT "JOB_ID", AVG("MANAGER_ID") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' GROUP BY "JOB_ID" ORDER BY "JOB_ID" DESC | 0.145508 |
CREATE TABLE Addresses (Address_ID NUMBER, address_details VARCHAR2)
CREATE TABLE Assets_in_Events (Asset_ID NUMBER, Event_ID NUMBER)
CREATE TABLE Parties_in_Events (Party_ID NUMBER, Event_ID NUMBER, Role_Code CHAR)
CREATE TABLE Finances (Finance_ID NUMBER, Other_Details VARCHAR2)
CREATE TABLE Channels (Channel_ID NUMBER, Other_Details VARCHAR2)
CREATE TABLE Products (Product_ID NUMBER, Product_Type_Code CHAR, Product_Name VARCHAR2, Product_Price NUMBER)
CREATE TABLE Agreements (Document_ID NUMBER, Event_ID NUMBER)
CREATE TABLE Assets (Asset_ID NUMBER, Other_Details VARCHAR2)
CREATE TABLE Locations (Location_ID NUMBER, Other_Details VARCHAR2)
CREATE TABLE Events (Event_ID NUMBER, Address_ID NUMBER, Channel_ID NUMBER, Event_Type_Code CHAR, Finance_ID NUMBER, Location_ID NUMBER)
CREATE TABLE Parties (Party_ID NUMBER, Party_Details VARCHAR2)
CREATE TABLE Products_in_Events (Product_in_Event_ID NUMBER, Event_ID NUMBER, Product_ID NUMBER)
| Show the names of products and the number of events they are in, sorted by the number of events in descending order by a bar chart. | SELECT Product_Name, COUNT(*) FROM Products AS T1 JOIN Products_in_Events AS T2 ON T1.Product_ID = T2.Product_ID GROUP BY T1.Product_Name ORDER BY COUNT(*) DESC | SELECT "Product_Name", COUNT(*) FROM "Products" "T1" JOIN "Products_in_Events" "T2" ON "T1"."Product_ID" = "T2"."Product_ID" GROUP BY "T1"."Product_Name" ORDER BY COUNT(*) DESC | 0.171875 |
CREATE TABLE table_15727 ("State" CLOB, "Name" CLOB, "Hometown" CLOB, "Age 1" FLOAT, "Height" CLOB)
| What is the height of the delegate whose hometown is Renton, WA? | SELECT "Height" FROM table_15727 WHERE "Hometown" = 'renton, wa' | SELECT "Height" FROM "table_15727" WHERE "Hometown" = 'renton, wa' | 0.064453 |
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 d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE 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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE 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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod 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 d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
| what is patient 6580's length of stay of the first hospital stay. | SELECT STRFTIME('%j', admissions.dischtime) - STRFTIME('%j', admissions.admittime) FROM admissions WHERE admissions.subject_id = 6580 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime LIMIT 1 | SELECT STRFTIME('%j', "admissions"."dischtime") - STRFTIME('%j', "admissions"."admittime") FROM "admissions" WHERE "admissions"."subject_id" = 6580 AND NOT "admissions"."dischtime" IS NULL ORDER BY "admissions"."admittime" FETCH FIRST 1 ROWS ONLY | 0.240234 |
CREATE TABLE paperdataset (paperid NUMBER, datasetid NUMBER)
CREATE TABLE writes (paperid NUMBER, authorid NUMBER)
CREATE TABLE paper (paperid NUMBER, title VARCHAR2, venueid NUMBER, year NUMBER, numciting NUMBER, numcitedby NUMBER, journalid NUMBER)
CREATE TABLE venue (venueid NUMBER, venuename VARCHAR2)
CREATE TABLE paperkeyphrase (paperid NUMBER, keyphraseid NUMBER)
CREATE TABLE keyphrase (keyphraseid NUMBER, keyphrasename VARCHAR2)
CREATE TABLE cite (citingpaperid NUMBER, citedpaperid NUMBER)
CREATE TABLE journal (journalid NUMBER, journalname VARCHAR2)
CREATE TABLE author (authorid NUMBER, authorname VARCHAR2)
CREATE TABLE field (fieldid NUMBER)
CREATE TABLE dataset (datasetid NUMBER, datasetname VARCHAR2)
CREATE TABLE paperfield (fieldid NUMBER, paperid NUMBER)
| machine networks for one shot learning | SELECT DISTINCT paperid FROM paper WHERE title = 'machine networks for one shot learning' | SELECT DISTINCT "paperid" FROM "paper" WHERE "title" = 'machine networks for one shot learning' | 0.092773 |
CREATE TABLE table_7904 ("Round" FLOAT, "Pick" FLOAT, "Player" CLOB, "Nationality" CLOB, "College" CLOB)
| What round was northeastern college player Reggie Lewis drafted in? | SELECT MIN("Round") FROM table_7904 WHERE "College" = 'northeastern' AND "Player" = 'reggie lewis' | SELECT MIN("Round") FROM "table_7904" WHERE "College" = 'northeastern' AND "Player" = 'reggie lewis' | 0.097656 |
CREATE TABLE table_68127 ("Year" FLOAT, "Entrant" CLOB, "Chassis" CLOB, "Engine" CLOB, "Points" FLOAT)
| Which year had a Cosworth V8 engine and 12 points? | SELECT "Year" FROM table_68127 WHERE "Points" = '12' AND "Engine" = 'cosworth v8' | SELECT "Year" FROM "table_68127" WHERE "Engine" = 'cosworth v8' AND "Points" = '12' | 0.081055 |
CREATE TABLE table_72112 ("Rd" FLOAT, "Name" CLOB, "Pole Position" CLOB, "Fastest Lap" CLOB, "Winning driver" CLOB, "Winning team" CLOB, "Report" CLOB)
| What was the fastest lap time in the Escort Radar Warning 200? | SELECT "Fastest Lap" FROM table_72112 WHERE "Name" = 'Escort Radar Warning 200' | SELECT "Fastest Lap" FROM "table_72112" WHERE "Name" = 'Escort Radar Warning 200' | 0.079102 |
CREATE TABLE table_77756 ("Rank" CLOB, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the average gold total for nations ranked 6 with 1 total medal and 1 bronze medal? | SELECT AVG("Gold") FROM table_77756 WHERE "Total" = '1' AND "Rank" = '6' AND "Bronze" > '1' | SELECT AVG("Gold") FROM "table_77756" WHERE "Bronze" > '1' AND "Rank" = '6' AND "Total" = '1' | 0.09082 |
CREATE TABLE table_14330096_3 (series_number VARCHAR2, writer VARCHAR2)
| What number from the total number of episodes is the episode written by Julian Unthank? | SELECT series_number FROM table_14330096_3 WHERE writer = "Julian Unthank" | SELECT "series_number" FROM "table_14330096_3" WHERE "Julian Unthank" = "writer" | 0.078125 |
Subsets and Splits
No saved queries yet
Save your SQL queries to embed, download, and access them later. Queries will appear here once saved.