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CREATE TABLE table_name_56 (year VARCHAR2, champion VARCHAR2, runner_up VARCHAR2)
| When Ilie N stase beat runner-up Peter Fleming what year was it? | SELECT COUNT(year) FROM table_name_56 WHERE champion = "ilie năstase" AND runner_up = "peter fleming" | SELECT COUNT("year") FROM "table_name_56" WHERE "champion" = "ilie năstase" AND "peter fleming" = "runner_up" | 0.106445 |
CREATE TABLE table_45244 ("Season" FLOAT, "Series" CLOB, "Team" CLOB, "Races" CLOB, "Wins" CLOB, "Poles" CLOB, "F/Laps" CLOB, "Podiums" CLOB, "Points" CLOB, "Position" CLOB)
| What Position is Team Sahara Force india f1 team with 46 Points? | SELECT "Position" FROM table_45244 WHERE "Team" = 'sahara force india f1 team' AND "Points" = '46' | SELECT "Position" FROM "table_45244" WHERE "Points" = '46' AND "Team" = 'sahara force india f1 team' | 0.097656 |
CREATE TABLE table_8194 ("Date" CLOB, "Home" CLOB, "Score" CLOB, "Away" CLOB, "Attendance" FLOAT)
| What is the date for the game where Platense was the home side? | SELECT "Date" FROM table_8194 WHERE "Home" = 'platense' | SELECT "Date" FROM "table_8194" WHERE "Home" = 'platense' | 0.055664 |
CREATE TABLE customers (customer_id CLOB, address_id NUMBER, customer_name CLOB, customer_phone CLOB, customer_email_address CLOB, other_details CLOB)
CREATE TABLE services (service_id NUMBER, service_type_code CLOB, workshop_group_id NUMBER, product_description CLOB, product_name CLOB, product_price NUMBER, other_product_service_details CLOB)
CREATE TABLE bookings (booking_id NUMBER, customer_id NUMBER, workshop_group_id CLOB, status_code CLOB, store_id NUMBER, order_date TIME, planned_delivery_date TIME, actual_delivery_date TIME, other_order_details CLOB)
CREATE TABLE products (product_id CLOB, product_name CLOB, product_price NUMBER, product_description CLOB, other_product_service_details CLOB)
CREATE TABLE bookings_services (order_id NUMBER, product_id NUMBER)
CREATE TABLE customer_orders (order_id NUMBER, customer_id NUMBER, store_id NUMBER, order_date TIME, planned_delivery_date TIME, actual_delivery_date TIME, other_order_details CLOB)
CREATE TABLE performers (performer_id NUMBER, address_id NUMBER, customer_name CLOB, customer_phone CLOB, customer_email_address CLOB, other_details CLOB)
CREATE TABLE drama_workshop_groups (workshop_group_id NUMBER, address_id NUMBER, currency_code CLOB, marketing_region_code CLOB, store_name CLOB, store_phone CLOB, store_email_address CLOB, other_details CLOB)
CREATE TABLE ref_payment_methods (payment_method_code CLOB, payment_method_description CLOB)
CREATE TABLE ref_service_types (service_type_code CLOB, parent_service_type_code CLOB, service_type_description CLOB)
CREATE TABLE stores (store_id CLOB, address_id NUMBER, marketing_region_code CLOB, store_name CLOB, store_phone CLOB, store_email_address CLOB, other_details CLOB)
CREATE TABLE invoice_items (invoice_item_id NUMBER, invoice_id NUMBER, order_id NUMBER, order_item_id NUMBER, product_id NUMBER, order_quantity NUMBER, other_item_details CLOB)
CREATE TABLE performers_in_bookings (order_id NUMBER, performer_id NUMBER)
CREATE TABLE clients (client_id NUMBER, address_id NUMBER, customer_email_address CLOB, customer_name CLOB, customer_phone CLOB, other_details CLOB)
CREATE TABLE addresses (address_id CLOB, line_1 CLOB, line_2 CLOB, city_town CLOB, state_county CLOB, other_details CLOB)
CREATE TABLE order_items (order_item_id NUMBER, order_id NUMBER, product_id NUMBER, order_quantity CLOB, other_item_details CLOB)
CREATE TABLE marketing_regions (marketing_region_code CLOB, marketing_region_name CLOB, marketing_region_descriptrion CLOB, other_details CLOB)
CREATE TABLE invoices (invoice_id NUMBER, order_id NUMBER, payment_method_code CLOB, product_id NUMBER, order_quantity CLOB, other_item_details CLOB, order_item_id NUMBER)
| What is the average quantities ordered with payment method code 'MasterCard' on invoices? | SELECT AVG(order_quantity) FROM invoices WHERE payment_method_code = "MasterCard" | SELECT AVG("order_quantity") FROM "invoices" WHERE "MasterCard" = "payment_method_code" | 0.084961 |
CREATE TABLE hotels (hotel_id NUMBER, star_rating_code CLOB, pets_allowed_yn CLOB, price_range NUMBER, other_hotel_details CLOB)
CREATE TABLE tourist_attractions (tourist_attraction_id NUMBER, attraction_type_code CLOB, location_id NUMBER, how_to_get_there CLOB, name CLOB, description CLOB, opening_hours CLOB, other_details CLOB)
CREATE TABLE theme_parks (theme_park_id NUMBER, theme_park_details CLOB)
CREATE TABLE staff (staff_id NUMBER, tourist_attraction_id NUMBER, name CLOB, other_details CLOB)
CREATE TABLE street_markets (market_id NUMBER, market_details CLOB)
CREATE TABLE ref_attraction_types (attraction_type_code CLOB, attraction_type_description CLOB)
CREATE TABLE locations (location_id NUMBER, location_name CLOB, address CLOB, other_details CLOB)
CREATE TABLE features (feature_id NUMBER, feature_details CLOB)
CREATE TABLE ref_hotel_star_ratings (star_rating_code CLOB, star_rating_description CLOB)
CREATE TABLE photos (photo_id NUMBER, tourist_attraction_id NUMBER, name CLOB, description CLOB, filename CLOB, other_details CLOB)
CREATE TABLE shops (shop_id NUMBER, shop_details CLOB)
CREATE TABLE tourist_attraction_features (tourist_attraction_id NUMBER, feature_id NUMBER)
CREATE TABLE visits (visit_id NUMBER, tourist_attraction_id NUMBER, tourist_id NUMBER, visit_date TIME, visit_details CLOB)
CREATE TABLE visitors (tourist_id NUMBER, tourist_details CLOB)
CREATE TABLE royal_family (royal_family_id NUMBER, royal_family_details CLOB)
CREATE TABLE museums (museum_id NUMBER, museum_details CLOB)
| What are the names of tourist attraction that Alison visited but Rosalind did not visit? | SELECT T1.name FROM tourist_attractions AS T1 JOIN visitors AS T2 JOIN visits AS T3 ON T1.tourist_attraction_id = T3.tourist_attraction_id AND T2.tourist_id = T3.tourist_id WHERE T2.tourist_details = "Alison" EXCEPT SELECT T1.name FROM tourist_attractions AS T1 JOIN visitors AS T2 JOIN visits AS T3 ON T1.tourist_attraction_id = T3.tourist_attraction_id AND T2.tourist_id = T3.tourist_id WHERE T2.tourist_details = "Rosalind" | SELECT "T1"."name" FROM "tourist_attractions" "T1" JOIN "visits" "T3" ON "T1"."tourist_attraction_id" = "T3"."tourist_attraction_id" JOIN "visitors" "T2" ON "Alison" = "T2"."tourist_details" AND "T2"."tourist_id" = "T3"."tourist_id" EXCEPT SELECT "T1"."name" FROM "tourist_attractions" "T1" JOIN "visits" "T3" ON "T1"."tourist_attraction_id" = "T3"."tourist_attraction_id" JOIN "visitors" "T2" ON "Rosalind" = "T2"."tourist_details" AND "T2"."tourist_id" = "T3"."tourist_id" | 0.462891 |
CREATE TABLE table_40727 ("Player" CLOB, "Nationality" CLOB, "Position" CLOB, "Years in Orlando" CLOB, "School/Club Team" CLOB)
| Amal McCaskill who plays forward-center played for what school/club team? | SELECT "School/Club Team" FROM table_40727 WHERE "Position" = 'forward-center' AND "Player" = 'amal mccaskill' | SELECT "School/Club Team" FROM "table_40727" WHERE "Player" = 'amal mccaskill' AND "Position" = 'forward-center' | 0.109375 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| how many patients with medicare insurance are diagnosed with icd9 code 2851? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.insurance = "Medicare" AND diagnoses.icd9_code = "2851" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "2851" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "Medicare" = "demographic"."insurance" | 0.212891 |
CREATE TABLE table_1341843_19 (district VARCHAR2, incumbent VARCHAR2)
| What district is F. Edward Hebert the incumbent in? | SELECT district FROM table_1341843_19 WHERE incumbent = "F. Edward Hebert" | SELECT "district" FROM "table_1341843_19" WHERE "F. Edward Hebert" = "incumbent" | 0.078125 |
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)
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)
| what is the average age of patients whose discharge location is disch-tran to psyc hosp and with primary disease left femur fracture? | SELECT AVG(demographic.age) FROM demographic WHERE demographic.discharge_location = "DISCH-TRAN TO PSYCH HOSP" AND demographic.diagnosis = "LEFT FEMUR FRACTURE" | SELECT AVG("demographic"."age") FROM "demographic" WHERE "DISCH-TRAN TO PSYCH HOSP" = "demographic"."discharge_location" AND "LEFT FEMUR FRACTURE" = "demographic"."diagnosis" | 0.169922 |
CREATE TABLE table_name_96 (game NUMBER, score VARCHAR2, points VARCHAR2)
| Which Game is the highest one that has a Score of 3 4 ot, and Points larger than 75? | SELECT MAX(game) FROM table_name_96 WHERE score = "3–4 ot" AND points > 75 | SELECT MAX("game") FROM "table_name_96" WHERE "3–4 ot" = "score" AND "points" > 75 | 0.080078 |
CREATE TABLE table_name_89 (method VARCHAR2, round VARCHAR2, record VARCHAR2)
| Which method was used in round 1 with a record of 1-0? | SELECT method FROM table_name_89 WHERE round = 1 AND record = "1-0" | SELECT "method" FROM "table_name_89" WHERE "1-0" = "record" AND "round" = 1 | 0.073242 |
CREATE TABLE table_name_79 (year_signed NUMBER, reason_for_separation VARCHAR2, year_separated VARCHAR2)
| What is the most current year signed for separation of and a separation year of 1997? | SELECT MAX(year_signed) FROM table_name_79 WHERE reason_for_separation = "†" AND year_separated = "1997" | SELECT MAX("year_signed") FROM "table_name_79" WHERE "1997" = "year_separated" AND "reason_for_separation" = "†" | 0.109375 |
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
| how many patients had a bronchodilator - nebulized within 2 months after the first analgesics - narcotic analgesic since 2100? | SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, treatment.treatmenttime FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'analgesics - narcotic analgesic' AND STRFTIME('%y', treatment.treatmenttime) >= '2100') AS t1 JOIN (SELECT patient.uniquepid, treatment.treatmenttime FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'bronchodilator - nebulized' AND STRFTIME('%y', treatment.treatmenttime) >= '2100') AS t2 WHERE t1.treatmenttime < t2.treatmenttime AND DATETIME(t2.treatmenttime) BETWEEN DATETIME(t1.treatmenttime) AND DATETIME(t1.treatmenttime, '+2 month') | SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "treatment" JOIN "patient" ON "patient"."patientunitstayid" = "treatment"."patientunitstayid" JOIN "treatment" "treatment_2" ON "treatment"."treatmenttime" < "treatment_2"."treatmenttime" AND "treatment_2"."treatmentname" = 'bronchodilator - nebulized' AND DATETIME("treatment"."treatmenttime") <= DATETIME("treatment_2"."treatmenttime") AND DATETIME("treatment"."treatmenttime", '+2 month') >= DATETIME("treatment_2"."treatmenttime") AND STRFTIME('%y', "treatment_2"."treatmenttime") >= '2100' JOIN "patient" "patient_2" ON "patient_2"."patientunitstayid" = "treatment_2"."patientunitstayid" WHERE "treatment"."treatmentname" = 'analgesics - narcotic analgesic' AND STRFTIME('%y', "treatment"."treatmenttime") >= '2100' | 0.751953 |
CREATE TABLE table_7964 ("Tie no" CLOB, "Home team" CLOB, "Score" CLOB, "Away team" CLOB, "Date" CLOB)
| If the Home Team is Newport County what is the Score? | SELECT "Score" FROM table_7964 WHERE "Home team" = 'newport county' | SELECT "Score" FROM "table_7964" WHERE "Home team" = 'newport county' | 0.067383 |
CREATE TABLE table_8852 ("Pick" FLOAT, "Player" CLOB, "Position" CLOB, "Nationality" CLOB, "Former Team" CLOB)
| Which Player has a Pick larger than 20? | SELECT "Player" FROM table_8852 WHERE "Pick" > '20' | SELECT "Player" FROM "table_8852" WHERE "Pick" > '20' | 0.051758 |
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE 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 countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
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, give me the comparison about the average of employee_id over the hire_date bin hire_date by weekday by a bar chart, and show by the mean employee id from high to low. | SELECT HIRE_DATE, AVG(EMPLOYEE_ID) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY AVG(EMPLOYEE_ID) DESC | SELECT "HIRE_DATE", AVG("EMPLOYEE_ID") FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY AVG("EMPLOYEE_ID") DESC | 0.206055 |
CREATE TABLE table_70456 ("National team" CLOB, "Club" CLOB, "Season" CLOB, "Apps" FLOAT, "Goals" FLOAT)
| What is the most apps that a has a total season and 3 goals? | SELECT MAX("Apps") FROM table_70456 WHERE "Season" = 'total' AND "Goals" > '3' | SELECT MAX("Apps") FROM "table_70456" WHERE "Goals" > '3' AND "Season" = 'total' | 0.078125 |
CREATE TABLE table_1631 ("Rank" FLOAT, "Administrative Division" CLOB, "Area ( km\\u00b2 ) " FLOAT, "Area ( sq mi ) " FLOAT, "National Share ( % ) " CLOB, "Comparable Country" CLOB)
| What is the administrative division that has an area of 30 km^2? | SELECT "Administrative Division" FROM table_1631 WHERE "Area (km\u00b2)" = '30' | SELECT "Administrative Division" FROM "table_1631" WHERE "Area (km\u00b2)" = '30' | 0.079102 |
CREATE TABLE table_14346950_1 (teleplay_by VARCHAR2, directed_by VARCHAR2)
| Who is the teleplay by when the director is Rob Bailey? | SELECT teleplay_by FROM table_14346950_1 WHERE directed_by = "Rob Bailey" | SELECT "teleplay_by" FROM "table_14346950_1" WHERE "Rob Bailey" = "directed_by" | 0.077148 |
CREATE TABLE table_name_45 (party VARCHAR2, member VARCHAR2)
| What party is Mick Young a member of? | SELECT party FROM table_name_45 WHERE member = "mick young" | SELECT "party" FROM "table_name_45" WHERE "member" = "mick young" | 0.063477 |
CREATE TABLE table_name_58 (fa_cup NUMBER, name VARCHAR2, europe VARCHAR2)
| What is the low FA cup goals for viduka with under 2 europe goals? | SELECT MIN(fa_cup) FROM table_name_58 WHERE name = "viduka" AND europe < 2 | SELECT MIN("fa_cup") FROM "table_name_58" WHERE "europe" < 2 AND "name" = "viduka" | 0.080078 |
CREATE TABLE Student_Course_Enrolment (registration_id NUMBER, student_id NUMBER, course_id NUMBER, date_of_enrolment DATETIME, date_of_completion DATETIME)
CREATE TABLE Student_Tests_Taken (registration_id NUMBER, date_test_taken DATETIME, test_result VARCHAR2)
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 Subjects (subject_id NUMBER, subject_name VARCHAR2)
CREATE TABLE Courses (course_id NUMBER, author_id NUMBER, subject_id NUMBER, course_name VARCHAR2, course_description VARCHAR2)
| Return a bar chart about the distribution of password and author_id . | SELECT password, author_id FROM Course_Authors_and_Tutors ORDER BY personal_name | SELECT "password", "author_id" FROM "Course_Authors_and_Tutors" ORDER BY "personal_name" | 0.085938 |
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)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
| For all employees who have the letters D or S in their first name, return a bar chart about the distribution of hire_date and the sum of department_id bin hire_date by weekday. | SELECT HIRE_DATE, SUM(DEPARTMENT_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' | SELECT "HIRE_DATE", SUM("DEPARTMENT_ID") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' | 0.111328 |
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 microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE 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 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 lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
| has patient 027-154299 been administered any enteral meds on this month/27? | SELECT COUNT(*) > 0 FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '027-154299')) AND intakeoutput.cellpath LIKE '%intake%' AND intakeoutput.celllabel = 'enteral meds' AND DATETIME(intakeoutput.intakeoutputtime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND STRFTIME('%d', intakeoutput.intakeoutputtime) = '27' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '027-154299' 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 COUNT(*) > 0 FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'enteral meds' AND "intakeoutput"."cellpath" LIKE '%intake%' AND DATETIME("intakeoutput"."intakeoutputtime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND NOT "_u_1"."" IS NULL AND STRFTIME('%d', "intakeoutput"."intakeoutputtime") = '27' | 0.756836 |
CREATE TABLE table_73774 ("June 10-11" CLOB, "March 27-29" CLOB, "January 15-16" CLOB, "November 3" CLOB, "August 21-22" CLOB)
| What is shown for november 3 when june 10-11 is june 10, 1964? | SELECT "November 3" FROM table_73774 WHERE "June 10-11" = 'June 10, 1964' | SELECT "November 3" FROM "table_73774" WHERE "June 10-11" = 'June 10, 1964' | 0.073242 |
CREATE TABLE paperdataset (paperid NUMBER, datasetid NUMBER)
CREATE TABLE paper (paperid NUMBER, title VARCHAR2, venueid NUMBER, year NUMBER, numciting NUMBER, numcitedby NUMBER, journalid NUMBER)
CREATE TABLE writes (paperid NUMBER, authorid NUMBER)
CREATE TABLE journal (journalid NUMBER, journalname VARCHAR2)
CREATE TABLE cite (citingpaperid NUMBER, citedpaperid NUMBER)
CREATE TABLE venue (venueid NUMBER, venuename VARCHAR2)
CREATE TABLE field (fieldid NUMBER)
CREATE TABLE paperkeyphrase (paperid NUMBER, keyphraseid NUMBER)
CREATE TABLE author (authorid NUMBER, authorname VARCHAR2)
CREATE TABLE keyphrase (keyphraseid NUMBER, keyphrasename VARCHAR2)
CREATE TABLE paperfield (fieldid NUMBER, paperid NUMBER)
CREATE TABLE dataset (datasetid NUMBER, datasetname VARCHAR2)
| who authored papers at NIPS ? | SELECT DISTINCT writes.authorid FROM paper, venue, writes WHERE venue.venueid = paper.venueid AND venue.venuename = 'NIPS' AND writes.paperid = paper.paperid | SELECT DISTINCT "writes"."authorid" FROM "paper" JOIN "venue" ON "paper"."venueid" = "venue"."venueid" AND "venue"."venuename" = 'NIPS' JOIN "writes" ON "paper"."paperid" = "writes"."paperid" | 0.186523 |
CREATE TABLE table_1160304_2 (date_of_entry VARCHAR2, chart VARCHAR2)
| What is the date of entry for the UK Albums Top 75 chart? | SELECT date_of_entry FROM table_1160304_2 WHERE chart = "UK Albums Top 75" | SELECT "date_of_entry" FROM "table_1160304_2" WHERE "UK Albums Top 75" = "chart" | 0.078125 |
CREATE TABLE table_name_19 (away_team VARCHAR2, home_team VARCHAR2)
| Who was the away team when Lincoln City was the home team? | SELECT away_team FROM table_name_19 WHERE home_team = "lincoln city" | SELECT "away_team" FROM "table_name_19" WHERE "home_team" = "lincoln city" | 0.072266 |
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 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 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 microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
| what is the daily maximum value of -bands in patient 006-157753 since 2103? | SELECT MAX(lab.labresult) FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-157753')) AND lab.labname = '-bands' AND STRFTIME('%y', lab.labresulttime) >= '2103' GROUP BY STRFTIME('%y-%m-%d', lab.labresulttime) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '006-157753' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT MAX("lab"."labresult") FROM "lab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = '-bands' AND NOT "_u_1"."" IS NULL AND STRFTIME('%y', "lab"."labresulttime") >= '2103' GROUP BY STRFTIME('%y-%m-%d', "lab"."labresulttime") | 0.610352 |
CREATE TABLE table_21078 ("Name" CLOB, "Latitude" CLOB, "Longitude" CLOB, "Diameter ( km ) " CLOB, "Year named" FLOAT, "Name origin" CLOB)
| What is the name origin with a diameter of 220.0 kilometers? | SELECT "Name origin" FROM table_21078 WHERE "Diameter (km)" = '220.0' | SELECT "Name origin" FROM "table_21078" WHERE "Diameter (km)" = '220.0' | 0.069336 |
CREATE TABLE table_1983 ("Name" CLOB, "Home or representative town or province" CLOB, "Age" FLOAT, "Season" CLOB, "Total days in PBB House" FLOAT, "Duration" CLOB, "Status" CLOB)
| When nel rapiz is the name what is the status? | SELECT "Status" FROM table_1983 WHERE "Name" = 'Nel Rapiz' | SELECT "Status" FROM "table_1983" WHERE "Name" = 'Nel Rapiz' | 0.058594 |
CREATE TABLE PROFESSOR (EMP_NUM NUMBER, DEPT_CODE VARCHAR2, PROF_OFFICE VARCHAR2, PROF_EXTENSION VARCHAR2, PROF_HIGH_DEGREE VARCHAR2)
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR2, DEPT_NAME VARCHAR2, SCHOOL_CODE VARCHAR2, EMP_NUM NUMBER, DEPT_ADDRESS VARCHAR2, DEPT_EXTENSION VARCHAR2)
CREATE TABLE CLASS (CLASS_CODE VARCHAR2, CRS_CODE VARCHAR2, CLASS_SECTION VARCHAR2, CLASS_TIME VARCHAR2, CLASS_ROOM VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE EMPLOYEE (EMP_NUM NUMBER, EMP_LNAME VARCHAR2, EMP_FNAME VARCHAR2, EMP_INITIAL VARCHAR2, EMP_JOBCODE VARCHAR2, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
CREATE TABLE STUDENT (STU_NUM NUMBER, STU_LNAME VARCHAR2, STU_FNAME VARCHAR2, STU_INIT VARCHAR2, STU_DOB DATETIME, STU_HRS NUMBER, STU_CLASS VARCHAR2, STU_GPA FLOAT, STU_TRANSFER NUMBER, DEPT_CODE VARCHAR2, STU_PHONE VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE COURSE (CRS_CODE VARCHAR2, DEPT_CODE VARCHAR2, CRS_DESCRIPTION VARCHAR2, CRS_CREDIT FLOAT)
CREATE TABLE ENROLL (CLASS_CODE VARCHAR2, STU_NUM NUMBER, ENROLL_GRADE VARCHAR2)
| A bar chart about how many different locations does each school have?, and sort from high to low by the Y-axis. | SELECT SCHOOL_CODE, COUNT(DISTINCT DEPT_ADDRESS) FROM DEPARTMENT ORDER BY COUNT(DISTINCT DEPT_ADDRESS) DESC | SELECT "SCHOOL_CODE", COUNT(DISTINCT "DEPT_ADDRESS") FROM "DEPARTMENT" ORDER BY COUNT(DISTINCT "DEPT_ADDRESS") DESC | 0.112305 |
CREATE TABLE building (building_id CLOB, Name CLOB, Street_address CLOB, Years_as_tallest CLOB, Height_feet NUMBER, Floors NUMBER)
CREATE TABLE protein (common_name CLOB, protein_name CLOB, divergence_from_human_lineage FLOAT, accession_number CLOB, sequence_length FLOAT, sequence_identity_to_human_protein CLOB, Institution_id CLOB)
CREATE TABLE Institution (Institution_id CLOB, Institution CLOB, Location CLOB, Founded FLOAT, Type CLOB, Enrollment NUMBER, Team CLOB, Primary_Conference CLOB, building_id CLOB)
| Draw a bar chart of type versus the total number, I want to sort x axis in desc order. | SELECT Type, COUNT(*) FROM Institution GROUP BY Type ORDER BY Type DESC | SELECT "Type", COUNT(*) FROM "Institution" GROUP BY "Type" ORDER BY "Type" DESC | 0.077148 |
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE 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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
| since 5 years ago, what was the top four most frequent medicines prescribed to patients in the same hospital visit after having been diagnosed with asympt varicose veins? | SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, diagnoses_icd.charttime, admissions.hadm_id FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'asympt varicose veins') AND DATETIME(diagnoses_icd.charttime) >= DATETIME(CURRENT_TIME(), '-5 year')) AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate, admissions.hadm_id FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE DATETIME(prescriptions.startdate) >= DATETIME(CURRENT_TIME(), '-5 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.startdate AND t1.hadm_id = t2.hadm_id GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 4 | WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate", "admissions"."hadm_id" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" WHERE DATETIME("prescriptions"."startdate") >= DATETIME(CURRENT_TIME(), '-5 year')), "t3" AS (SELECT "t2"."drug", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'asympt varicose veins' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "t2" "t2" ON "admissions"."hadm_id" = "t2"."hadm_id" AND "admissions"."subject_id" = "t2"."subject_id" AND "diagnoses_icd"."charttime" < "t2"."startdate" WHERE DATETIME("diagnoses_icd"."charttime") >= DATETIME(CURRENT_TIME(), '-5 year') GROUP BY "t2"."drug") SELECT "t3"."drug" FROM "t3" "t3" WHERE "t3"."c1" <= 4 | 0.918945 |
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 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 demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| what is the number of patients whose religion is greek orthodox and admission year is less than 2203? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.religion = "GREEK ORTHODOX" AND demographic.admityear < "2203" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2203" > "demographic"."admityear" AND "GREEK ORTHODOX" = "demographic"."religion" | 0.15332 |
CREATE TABLE table_71759 ("Date" FLOAT, "Category" CLOB, "Team" CLOB, "Rider 1" CLOB, "Rider 2" CLOB)
| Which category has a team of Cannondale Vredestein? | SELECT "Category" FROM table_71759 WHERE "Team" = 'cannondale vredestein' | SELECT "Category" FROM "table_71759" WHERE "Team" = 'cannondale vredestein' | 0.073242 |
CREATE TABLE table_name_46 (date VARCHAR2, score VARCHAR2)
| WHAT DATE HAD A SCORE OF 71-64? | SELECT date FROM table_name_46 WHERE score = "71-64" | SELECT "date" FROM "table_name_46" WHERE "71-64" = "score" | 0.056641 |
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 VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
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 ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId 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 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 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 PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId 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 ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (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 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 PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
| Questions answered by two specific users. | SELECT a1.ParentId AS "post_link", a1.CreationDate FROM Posts AS a1 INNER JOIN Posts AS a2 ON a1.ParentId = a2.ParentId WHERE a1.OwnerUserId = '##UserId1:int##' AND a2.OwnerUserId = '##UserId2:int##' | SELECT "a1"."ParentId" AS "post_link", "a1"."CreationDate" FROM "Posts" "a1" JOIN "Posts" "a2" ON "a1"."ParentId" = "a2"."ParentId" AND "a2"."OwnerUserId" = '##UserId2:int##' WHERE "a1"."OwnerUserId" = '##UserId1:int##' | 0.213867 |
CREATE TABLE table_1341663_10 (district VARCHAR2, result VARCHAR2, incumbent VARCHAR2)
| what is the district where the result is re-elected and the incumbent is richard kelly? | SELECT district FROM table_1341663_10 WHERE result = "Re-elected" AND incumbent = "Richard Kelly" | SELECT "district" FROM "table_1341663_10" WHERE "Re-elected" = "result" AND "Richard Kelly" = "incumbent" | 0.102539 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| give me the number of patients born before 2078 with lab test item id 50981. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dob_year < "2078" AND lab.itemid = "50981" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "50981" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2078" > "demographic"."dob_year" | 0.188477 |
CREATE TABLE table_26974 ("DS Division" CLOB, "Main Town" CLOB, "GN Divisions" FLOAT, "Area ( km 2 ) " FLOAT, "Sri Lankan Tamil" FLOAT, "Sri Lankan Moors" FLOAT, "Sinhalese" FLOAT, "Indian Tamil" FLOAT, "Other" FLOAT, "Total" FLOAT, "Population Density ( /km 2 ) " FLOAT)
| Name the popultion density being manthai west | SELECT "Population Density (/km 2 )" FROM table_26974 WHERE "DS Division" = 'Manthai West' | SELECT "Population Density (/km 2 )" FROM "table_26974" WHERE "DS Division" = 'Manthai West' | 0.089844 |
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 Project_Outcomes (project_id NUMBER, outcome_code VARCHAR2, outcome_details 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 Research_Outcomes (outcome_code VARCHAR2, outcome_description VARCHAR2)
CREATE TABLE Tasks (task_id NUMBER, project_id NUMBER, task_details VARCHAR2, "eg Agree Objectives" VARCHAR2)
CREATE TABLE Staff_Roles (role_code VARCHAR2, role_description VARCHAR2)
CREATE TABLE Document_Types (document_type_code VARCHAR2, document_description VARCHAR2)
CREATE TABLE Project_Staff (staff_id DOUBLE PRECISION, project_id NUMBER, role_code VARCHAR2, date_from DATETIME, date_to DATETIME, other_details VARCHAR2)
CREATE TABLE Organisation_Types (organisation_type VARCHAR2, organisation_type_description VARCHAR2)
CREATE TABLE Organisations (organisation_id NUMBER, organisation_type VARCHAR2, organisation_details VARCHAR2)
CREATE TABLE Projects (project_id NUMBER, organisation_id NUMBER, project_details VARCHAR2)
CREATE TABLE Research_Staff (staff_id NUMBER, employer_organisation_id NUMBER, staff_details VARCHAR2)
| Give me the trend about the date_to attributes of all researchers, and bin the date_to into Year interval, display by the x-axis from low to high. | SELECT date_to, COUNT(date_to) FROM Project_Staff ORDER BY date_to | SELECT "date_to", COUNT("date_to") FROM "Project_Staff" ORDER BY "date_to" | 0.072266 |
CREATE TABLE table_name_16 (venue VARCHAR2, status VARCHAR2, against VARCHAR2)
| Which venue has a status of Five Nations and an against of 22? | SELECT venue FROM table_name_16 WHERE status = "five nations" AND against = 22 | SELECT "venue" FROM "table_name_16" WHERE "against" = 22 AND "five nations" = "status" | 0.083984 |
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label 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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE 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 icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
| what are the top four most frequent medications that followed during the same month for those patients that were prescribed creon 12 in 2104? | SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'creon 12' AND STRFTIME('%y', prescriptions.startdate) = '2104') AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE STRFTIME('%y', prescriptions.startdate) = '2104') AS t2 ON t1.subject_id = t2.subject_id WHERE t1.startdate < t2.startdate AND DATETIME(t1.startdate, 'start of month') = DATETIME(t2.startdate, 'start of month') GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 4 | WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" WHERE STRFTIME('%y', "prescriptions"."startdate") = '2104'), "t3" AS (SELECT "t2"."drug", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" JOIN "t2" "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND "prescriptions"."startdate" < "t2"."startdate" AND DATETIME("prescriptions"."startdate", 'start of month') = DATETIME("t2"."startdate", 'start of month') WHERE "prescriptions"."drug" = 'creon 12' AND STRFTIME('%y', "prescriptions"."startdate") = '2104' GROUP BY "t2"."drug") SELECT "t3"."drug" FROM "t3" "t3" WHERE "t3"."c1" <= 4 | 0.804688 |
CREATE TABLE table_25953 ("Game" FLOAT, "Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Location" CLOB, "Attendance" FLOAT, "Record" CLOB, "Points" FLOAT)
| How many different games against Florida Panthers were played in Verizon Center? | SELECT COUNT("Game") FROM table_25953 WHERE "Opponent" = 'Florida Panthers' AND "Location" = 'Verizon Center' | SELECT COUNT("Game") FROM "table_25953" WHERE "Location" = 'Verizon Center' AND "Opponent" = 'Florida Panthers' | 0.108398 |
CREATE TABLE table_28056 ("Release" CLOB, "# of discs" FLOAT, "Region 1" CLOB, "Region 2" CLOB, "Region 4" CLOB)
| How many DVDs where were in the complete collection series 1-8 with extras? | SELECT "# of discs" FROM table_28056 WHERE "Release" = 'The Complete Collection Series 1-8 with extras' | SELECT "# of discs" FROM "table_28056" WHERE "Release" = 'The Complete Collection Series 1-8 with extras' | 0.102539 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
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 whose primary disease is pneumonia;human immunodefiency virus;rule out tuberculosis and procedure short title is aortocor bypas-2 cor art? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.diagnosis = "PNEUMONIA;HUMAN IMMUNODEFIENCY VIRUS;RULE OUT TUBERCULOSIS" AND procedures.short_title = "Aortocor bypas-2 cor art" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Aortocor bypas-2 cor art" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "PNEUMONIA;HUMAN IMMUNODEFIENCY VIRUS;RULE OUT TUBERCULOSIS" = "demographic"."diagnosis" | 0.286133 |
CREATE TABLE table_name_81 (tries_for VARCHAR2, points_for VARCHAR2, tries_against VARCHAR2)
| How many Tries has Points for smaller than 137, and Tries against larger than 12? | SELECT COUNT(tries_for) FROM table_name_81 WHERE points_for < 137 AND tries_against > 12 | SELECT COUNT("tries_for") FROM "table_name_81" WHERE "points_for" < 137 AND "tries_against" > 12 | 0.09375 |
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 treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE 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 medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
| what is the difference between patient 006-172277's total number of inputs and outputs during the previous day? | SELECT (SELECT SUM(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-172277')) AND intakeoutput.cellpath LIKE '%intake%' AND DATETIME(intakeoutput.intakeoutputtime, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-1 day')) - (SELECT SUM(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-172277')) AND intakeoutput.cellpath LIKE '%output%' AND DATETIME(intakeoutput.intakeoutputtime, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-1 day')) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '006-172277' 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"), "_u_4" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_3" ON "_u_3"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_3"."" IS NULL GROUP BY "patientunitstayid") SELECT (SELECT SUM("intakeoutput"."cellvaluenumeric") FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."cellpath" LIKE '%intake%' AND DATETIME("intakeoutput"."intakeoutputtime", 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-1 day') AND NOT "_u_1"."" IS NULL) - (SELECT SUM("intakeoutput"."cellvaluenumeric") FROM "intakeoutput" LEFT JOIN "_u_4" "_u_4" ON "_u_4"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."cellpath" LIKE '%output%' AND DATETIME("intakeoutput"."intakeoutputtime", 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-1 day') AND NOT "_u_4"."" IS NULL) | 1.200195 |
CREATE TABLE table_4262 ("Rank" FLOAT, "Country/Territory" CLOB, "Mister International" FLOAT, "1st runner-up" FLOAT, "2nd runner-up" FLOAT, "3rd runner-up" FLOAT, "4th runner-up" FLOAT, "Semifinalists" FLOAT, "Total" FLOAT)
| Name the number of semifinalists for 19 rank | SELECT COUNT("Semifinalists") FROM table_4262 WHERE "Rank" = '19' | SELECT COUNT("Semifinalists") FROM "table_4262" WHERE "Rank" = '19' | 0.06543 |
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE 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)
| how many patients have received a stress ulcer prophylaxis - ranitidine two times? | SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, COUNT(*) AS c1 FROM patient WHERE patient.patientunitstayid = (SELECT treatment.patientunitstayid FROM treatment WHERE treatment.treatmentname = 'stress ulcer prophylaxis - ranitidine') GROUP BY patient.uniquepid) AS t1 WHERE t1.c1 = 2 | WITH "t1" AS (SELECT "patient"."uniquepid", COUNT(*) AS "c1" FROM "patient" JOIN "treatment" ON "patient"."patientunitstayid" = "treatment"."patientunitstayid" AND "treatment"."treatmentname" = 'stress ulcer prophylaxis - ranitidine' GROUP BY "patient"."uniquepid") SELECT COUNT(DISTINCT "t1"."uniquepid") FROM "t1" "t1" WHERE "t1"."c1" = 2 | 0.332031 |
CREATE TABLE table_46163 ("Name" CLOB, "GP-GS" CLOB, "Gain" FLOAT, "Loss" FLOAT, "Long" FLOAT, "Avg/G" FLOAT)
| WHAT IS THE LOSS WITH AN AVERAGE OF 89.9? | SELECT SUM("Loss") FROM table_46163 WHERE "Avg/G" = '89.9' | SELECT SUM("Loss") FROM "table_46163" WHERE "Avg/G" = '89.9' | 0.058594 |
CREATE TABLE physician (name VARCHAR2, employeeid VARCHAR2)
CREATE TABLE procedures (code VARCHAR2, cost NUMBER)
CREATE TABLE trained_in (physician VARCHAR2, treatment VARCHAR2)
| Find the physicians who are trained in a procedure that costs more than 5000. | SELECT T1.name FROM physician AS T1 JOIN trained_in AS T2 ON T1.employeeid = T2.physician JOIN procedures AS T3 ON T3.code = T2.treatment WHERE T3.cost > 5000 | SELECT "T1"."name" FROM "physician" "T1" JOIN "trained_in" "T2" ON "T1"."employeeid" = "T2"."physician" JOIN "procedures" "T3" ON "T2"."treatment" = "T3"."code" AND "T3"."cost" > 5000 | 0.178711 |
CREATE TABLE Transactions_Lots (transaction_id NUMBER, lot_id NUMBER)
CREATE TABLE Lots (lot_id NUMBER, investor_id NUMBER, lot_details VARCHAR2)
CREATE TABLE Investors (investor_id NUMBER, Investor_details VARCHAR2)
CREATE TABLE Ref_Transaction_Types (transaction_type_code VARCHAR2, transaction_type_description VARCHAR2)
CREATE TABLE Transactions (transaction_id NUMBER, investor_id NUMBER, transaction_type_code VARCHAR2, date_of_transaction DATETIME, amount_of_transaction NUMBER, share_count VARCHAR2, other_details VARCHAR2)
CREATE TABLE Sales (sales_transaction_id NUMBER, sales_details VARCHAR2)
CREATE TABLE Purchases (purchase_transaction_id NUMBER, purchase_details VARCHAR2)
| Bar chart x axis lot details y axis the number of lot details, rank in ascending by the total number. | SELECT lot_details, COUNT(lot_details) FROM Lots GROUP BY lot_details ORDER BY COUNT(lot_details) | SELECT "lot_details", COUNT("lot_details") FROM "Lots" GROUP BY "lot_details" ORDER BY COUNT("lot_details") | 0.104492 |
CREATE TABLE table_name_92 (score VARCHAR2, opponent VARCHAR2, record VARCHAR2)
| Which score has an Opponent of white sox, and a Record of 2-0? | SELECT score FROM table_name_92 WHERE opponent = "white sox" AND record = "2-0" | SELECT "score" FROM "table_name_92" WHERE "2-0" = "record" AND "opponent" = "white sox" | 0.084961 |
CREATE TABLE table_name_13 (total NUMBER, rank VARCHAR2, gold VARCHAR2)
| What is the lowest Total for rank 3 with more than 4 gold? | SELECT MIN(total) FROM table_name_13 WHERE rank = "3" AND gold > 4 | SELECT MIN("total") FROM "table_name_13" WHERE "3" = "rank" AND "gold" > 4 | 0.072266 |
CREATE TABLE table_name_22 (frequency_mhz VARCHAR2, erp_w VARCHAR2, call_sign VARCHAR2)
| Name the total number of frequency Mhz for when it has ERP W of 1 and call sign of w215bj | SELECT COUNT(frequency_mhz) FROM table_name_22 WHERE erp_w = 1 AND call_sign = "w215bj" | SELECT COUNT("frequency_mhz") FROM "table_name_22" WHERE "call_sign" = "w215bj" AND "erp_w" = 1 | 0.092773 |
CREATE TABLE table_202_83 (id NUMBER, "year" CLOB, "team" CLOB, "gp" NUMBER, "gs" NUMBER, "mpg" NUMBER, "fg%" NUMBER, "3p%" NUMBER, "ft%" NUMBER, "rpg" NUMBER, "apg" NUMBER, "spg" NUMBER, "bpg" NUMBER, "ppg" NUMBER)
| how many seasons did webber average over 20 points per game -lrb- ppg -rrb- ? | SELECT COUNT(*) FROM table_202_83 WHERE "ppg" >= 20 | SELECT COUNT(*) FROM "table_202_83" WHERE "ppg" >= 20 | 0.051758 |
CREATE TABLE table_61745 ("Conflicts prior to Israel's independence" CLOB, "Military deaths" CLOB, "Civilian deaths" CLOB, "Total deaths" CLOB, "Military and/or Civilian wounded" CLOB, "Total casualties" CLOB)
| How many deaths were there when the total casualties were 6? | SELECT "Total deaths" FROM table_61745 WHERE "Total casualties" = '6' | SELECT "Total deaths" FROM "table_61745" WHERE "Total casualties" = '6' | 0.069336 |
CREATE TABLE table_54535 ("Date" CLOB, "Venue" CLOB, "Score" CLOB, "Result" CLOB, "Competition" CLOB)
| Which competition did he win on August 15, 2012? | SELECT "Competition" FROM table_54535 WHERE "Result" = 'win' AND "Date" = 'august 15, 2012' | SELECT "Competition" FROM "table_54535" WHERE "Date" = 'august 15, 2012' AND "Result" = 'win' | 0.09082 |
CREATE TABLE table_204_26 (id NUMBER, "name" CLOB, "position" CLOB, "birth date/age at start of campaign" CLOB, "games in campaign" CLOB, "club" CLOB)
| which position is listed the most on this chart ? | SELECT "position" FROM table_204_26 GROUP BY "position" ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "position" FROM "table_204_26" GROUP BY "position" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY | 0.101563 |
CREATE TABLE table_203_518 (id NUMBER, "institution" CLOB, "location" CLOB, "nickname" CLOB, "founded" NUMBER, "type" CLOB, "enrollment" NUMBER, "joined\ mac" NUMBER)
| how many are enrolled in private/catholic ? | SELECT SUM("enrollment") FROM table_203_518 WHERE "type" = 'private/catholic' | SELECT SUM("enrollment") FROM "table_203_518" WHERE "type" = 'private/catholic' | 0.077148 |
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 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 transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
| what are the cost of diagnosis for h zoster complicated nec? | SELECT DISTINCT cost.cost FROM cost WHERE cost.event_type = 'diagnoses_icd' AND cost.event_id IN (SELECT diagnoses_icd.row_id FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'h zoster complicated nec')) | WITH "_u_1" AS (SELECT "diagnoses_icd"."row_id" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'h zoster complicated nec' GROUP BY "row_id") SELECT DISTINCT "cost"."cost" FROM "cost" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "cost"."event_id" WHERE "cost"."event_type" = 'diagnoses_icd' AND NOT "_u_1"."" IS NULL | 0.397461 |
CREATE TABLE table_name_5 (year_s__won VARCHAR2, to_par VARCHAR2, finish VARCHAR2)
| What year (s) won was +2 the To par, and t22 the finish? | SELECT year_s__won FROM table_name_5 WHERE to_par = "+2" AND finish = "t22" | SELECT "year_s__won" FROM "table_name_5" WHERE "+2" = "to_par" AND "finish" = "t22" | 0.081055 |
CREATE TABLE table_name_21 (laps NUMBER, grid VARCHAR2)
| Who scored with a grid of 10 and the highest amount of laps? | SELECT MAX(laps) FROM table_name_21 WHERE grid = 10 | SELECT MAX("laps") FROM "table_name_21" WHERE "grid" = 10 | 0.055664 |
CREATE TABLE table_name_70 (crowd VARCHAR2, away_team VARCHAR2)
| What was the attendance when Geelong played as the away team? | SELECT COUNT(crowd) FROM table_name_70 WHERE away_team = "geelong" | SELECT COUNT("crowd") FROM "table_name_70" WHERE "away_team" = "geelong" | 0.070313 |
CREATE TABLE table_721 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" FLOAT, "Result" CLOB, "Candidates" CLOB)
| who are the candidates where the incumbent is sam m. gibbons? | SELECT "Candidates" FROM table_721 WHERE "Incumbent" = 'Sam M. Gibbons' | SELECT "Candidates" FROM "table_721" WHERE "Incumbent" = 'Sam M. Gibbons' | 0.071289 |
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 vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
| since 2105 how many patients were diagnosed with neck tumor. | SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE patient.patientunitstayid IN (SELECT diagnosis.patientunitstayid FROM diagnosis WHERE diagnosis.diagnosisname = 'neck tumor' AND STRFTIME('%y', diagnosis.diagnosistime) >= '2105') | WITH "_u_0" AS (SELECT "diagnosis"."patientunitstayid" FROM "diagnosis" WHERE "diagnosis"."diagnosisname" = 'neck tumor' 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 | 0.356445 |
CREATE TABLE table_name_87 (rank_points VARCHAR2, score_points VARCHAR2)
| What is the rank for the player where there are 11 points? | SELECT rank_points FROM table_name_87 WHERE score_points = "11" | SELECT "rank_points" FROM "table_name_87" WHERE "11" = "score_points" | 0.067383 |
CREATE TABLE table_77026 ("Nation" CLOB, "Model" CLOB, "Length" CLOB, "Barrel length" CLOB, "Weight" CLOB)
| What is Nation, when Model is M1895 & M1897 Carbine? | SELECT "Nation" FROM table_77026 WHERE "Model" = 'm1895 & m1897 carbine' | SELECT "Nation" FROM "table_77026" WHERE "Model" = 'm1895 & m1897 carbine' | 0.072266 |
CREATE TABLE table_name_48 (comprehension_of_danish VARCHAR2, average VARCHAR2, comprehension_of_norwegian VARCHAR2)
| Which Comprehension of Danish has an Average smaller than 6.85, and a Comprehension of Norwegian of 4.13? | SELECT comprehension_of_danish FROM table_name_48 WHERE average < 6.85 AND comprehension_of_norwegian = "4.13" | SELECT "comprehension_of_danish" FROM "table_name_48" WHERE "4.13" = "comprehension_of_norwegian" AND "average" < 6.85 | 0.115234 |
CREATE TABLE table_204_35 (id NUMBER, "season" CLOB, "tier" NUMBER, "division" CLOB, "place" CLOB)
| how many times did sd ponferradina b come in better than 5th place ? | SELECT COUNT(*) FROM table_204_35 WHERE "place" < 5 | SELECT COUNT(*) FROM "table_204_35" WHERE "place" < 5 | 0.051758 |
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod 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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE 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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE 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)
| the last time patient 14413 was diagnosed since 2105 with dieulafoy les,stom&duod? | SELECT diagnoses_icd.charttime FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'dieulafoy les,stom&duod') AND diagnoses_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 14413) AND STRFTIME('%y', diagnoses_icd.charttime) >= '2105' ORDER BY diagnoses_icd.charttime DESC LIMIT 1 | WITH "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 14413 GROUP BY "hadm_id") SELECT "diagnoses_icd"."charttime" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'dieulafoy les,stom&duod' LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "diagnoses_icd"."hadm_id" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y', "diagnoses_icd"."charttime") >= '2105' ORDER BY "diagnoses_icd"."charttime" DESC FETCH FIRST 1 ROWS ONLY | 0.533203 |
CREATE TABLE table_41564 ("Branch" CLOB, "Address" CLOB, "Neighborhood" CLOB, "First branch opened" FLOAT, "Current branch opened" FLOAT)
| What is Current Branch Opened, when Branch is Midland Library? | SELECT "Current branch opened" FROM table_41564 WHERE "Branch" = 'midland library' | SELECT "Current branch opened" FROM "table_41564" WHERE "Branch" = 'midland library' | 0.082031 |
CREATE TABLE table_45409 ("Round" FLOAT, "Date" CLOB, "Opponent" CLOB, "Venue" CLOB, "Result" CLOB)
| What is the result when the round shows 34? | SELECT "Result" FROM table_45409 WHERE "Round" = '34' | SELECT "Result" FROM "table_45409" WHERE "Round" = '34' | 0.053711 |
CREATE TABLE table_40115 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" CLOB)
| On week 13 what was the score of the game? | SELECT "Result" FROM table_40115 WHERE "Week" = '13' | SELECT "Result" FROM "table_40115" WHERE "Week" = '13' | 0.052734 |
CREATE TABLE catalog_contents (catalog_entry_name VARCHAR2, next_entry_id NUMBER)
| Name all the products with next entry ID greater than 8. | SELECT catalog_entry_name FROM catalog_contents WHERE next_entry_id > 8 | SELECT "catalog_entry_name" FROM "catalog_contents" WHERE "next_entry_id" > 8 | 0.075195 |
CREATE TABLE table_2668352_11 (first_elected VARCHAR2, candidates VARCHAR2)
| Name the first elected for hosea moffitt (f) 57.9% josiah masters (dr) 42.1% | SELECT first_elected FROM table_2668352_11 WHERE candidates = "Hosea Moffitt (F) 57.9% Josiah Masters (DR) 42.1%" | SELECT "first_elected" FROM "table_2668352_11" WHERE "Hosea Moffitt (F) 57.9% Josiah Masters (DR) 42.1%" = "candidates" | 0.116211 |
CREATE TABLE table_name_32 (record VARCHAR2, round VARCHAR2)
| What was the score in Round 3? | SELECT record FROM table_name_32 WHERE round = "3" | SELECT "record" FROM "table_name_32" WHERE "3" = "round" | 0.054688 |
CREATE TABLE table_32712 ("Team" CLOB, "Bowl" CLOB, "Season coach" CLOB, "Interim head coach" CLOB, "Result" CLOB, "2008 head coach" CLOB)
| Which team lost under interim head coach, Dewayne Walker? | SELECT "Team" FROM table_32712 WHERE "Result" = 'lost' AND "Interim head coach" = 'dewayne walker' | SELECT "Team" FROM "table_32712" WHERE "Interim head coach" = 'dewayne walker' AND "Result" = 'lost' | 0.097656 |
CREATE TABLE party_events (Event_ID NUMBER, Event_Name CLOB, Party_ID NUMBER, Member_in_charge_ID NUMBER)
CREATE TABLE member (Member_ID NUMBER, Member_Name CLOB, Party_ID CLOB, In_office CLOB)
CREATE TABLE region (Region_ID NUMBER, Region_name CLOB, Date CLOB, Label CLOB, Format CLOB, Catalogue CLOB)
CREATE TABLE party (Party_ID NUMBER, Minister CLOB, Took_office CLOB, Left_office CLOB, Region_ID NUMBER, Party_name CLOB)
| Give me a histogram for how many events are there for each party? | SELECT Party_name, COUNT(*) FROM party_events AS T1 JOIN party AS T2 ON T1.Party_ID = T2.Party_ID GROUP BY T1.Party_ID | SELECT "Party_name", COUNT(*) FROM "party_events" "T1" JOIN "party" "T2" ON "T1"."Party_ID" = "T2"."Party_ID" GROUP BY "T1"."Party_ID" | 0.130859 |
CREATE TABLE table_14542 ("Tournament" CLOB, "2007" CLOB, "2008" CLOB, "2009" CLOB, "2011" CLOB, "2012" CLOB, "2013" CLOB)
| How many sets were in the 2011 Australian Open Tournament? | SELECT "2011" FROM table_14542 WHERE "Tournament" = 'australian open' | SELECT "2011" FROM "table_14542" WHERE "Tournament" = 'australian open' | 0.069336 |
CREATE TABLE table_name_65 (school VARCHAR2, height VARCHAR2)
| Which school did the player have a height of 6-4? | SELECT school FROM table_name_65 WHERE height = "6-4" | SELECT "school" FROM "table_name_65" WHERE "6-4" = "height" | 0.057617 |
CREATE TABLE table_78392 ("Outcome" CLOB, "Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Opponent" CLOB, "Score" CLOB)
| What was the score of the tournament against Isha Lakhani? | SELECT "Score" FROM table_78392 WHERE "Opponent" = 'isha lakhani' | SELECT "Score" FROM "table_78392" WHERE "Opponent" = 'isha lakhani' | 0.06543 |
CREATE TABLE review (i_id VARCHAR2, rating NUMBER)
CREATE TABLE item (title VARCHAR2, i_id VARCHAR2)
| Find the titles of items that received any rating below 5. | SELECT T1.title FROM item AS T1 JOIN review AS T2 ON T1.i_id = T2.i_id WHERE T2.rating < 5 | SELECT "T1"."title" FROM "item" "T1" JOIN "review" "T2" ON "T1"."i_id" = "T2"."i_id" AND "T2"."rating" < 5 | 0.103516 |
CREATE TABLE table_name_91 (attendance NUMBER, date VARCHAR2)
| Mean attendance for December 22, 1980? | SELECT AVG(attendance) FROM table_name_91 WHERE date = "december 22, 1980" | SELECT AVG("attendance") FROM "table_name_91" WHERE "date" = "december 22, 1980" | 0.078125 |
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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount 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 d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
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 prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE 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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| what's the cost of a procedure called pros repair atria def-cl? | SELECT DISTINCT cost.cost FROM cost WHERE cost.event_type = 'procedures_icd' AND cost.event_id IN (SELECT procedures_icd.row_id FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'pros repair atria def-cl')) | WITH "_u_1" AS (SELECT "procedures_icd"."row_id" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'pros repair atria def-cl' GROUP BY "row_id") SELECT DISTINCT "cost"."cost" FROM "cost" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "cost"."event_id" WHERE "cost"."event_type" = 'procedures_icd' AND NOT "_u_1"."" IS NULL | 0.404297 |
CREATE TABLE table_35891 ("Stage" CLOB, "Winner" CLOB, "General classification" CLOB, "Points classification" CLOB, "Mountains classification" CLOB, "Young rider classification" CLOB, "Team classification" CLOB, "Combativity award" CLOB)
| Name the team classification for stage of 20 | SELECT "Team classification" FROM table_35891 WHERE "Stage" = '20' | SELECT "Team classification" FROM "table_35891" WHERE "Stage" = '20' | 0.066406 |
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId 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 FlagTypes (Id NUMBER, Name CLOB, Description 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 Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
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)
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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
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 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 ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId 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 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)
| Tags with names less than five characters. | SELECT * FROM Tags WHERE LENGTH(TagName) BETWEEN 3 AND 4 AND Count BETWEEN 100 AND 3000 ORDER BY Count | SELECT * FROM "Tags" WHERE "Count" <= 3000 AND "Count" >= 100 AND LENGTH("TagName") <= 4 AND LENGTH("TagName") >= 3 ORDER BY "Count" | 0.128906 |
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
| For those records from the products and each product's manufacturer, return a scatter chart about the correlation between price and code , and group by attribute founder. | SELECT T1.Price, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder | SELECT "T1"."Price", "T1"."Code" FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Founder" | 0.131836 |
CREATE TABLE table_name_82 (home_run NUMBER, opposing_pitcher VARCHAR2)
| When Efrain Valdez was pitching, what was the highest home run? | SELECT MAX(home_run) FROM table_name_82 WHERE opposing_pitcher = "efrain valdez" | SELECT MAX("home_run") FROM "table_name_82" WHERE "efrain valdez" = "opposing_pitcher" | 0.083984 |
CREATE TABLE table_19213 ("Name" CLOB, "2011 Census" FLOAT, "2006 Census" FLOAT, "% change" CLOB, "Land area ( km\\u00b2 ) " CLOB, "Density ( pop/km\\u00b2 ) " CLOB, "Population rank" FLOAT)
| When the % change is 8.4, what is the population rank? | SELECT MIN("Population rank") FROM table_19213 WHERE "% change" = '8.4' | SELECT MIN("Population rank") FROM "table_19213" WHERE "% change" = '8.4' | 0.071289 |
CREATE TABLE table_62689 ("Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Partner" CLOB, "Opponents" CLOB, "Score" CLOB)
| Who was the Partner in the Algiers 2, Algeria Tournament? | SELECT "Partner" FROM table_62689 WHERE "Tournament" = 'algiers 2, algeria' | SELECT "Partner" FROM "table_62689" WHERE "Tournament" = 'algiers 2, algeria' | 0.075195 |
CREATE TABLE table_59038 ("Position" FLOAT, "Club" CLOB, "Played" FLOAT, "Points" FLOAT, "Wins" FLOAT, "Draws" FLOAT, "Losses" FLOAT, "Goals for" FLOAT, "Goals against" FLOAT, "Goal Difference" FLOAT)
| Which Draws have a Position of 16, and less than 58 Goals against? | SELECT MIN("Draws") FROM table_59038 WHERE "Position" = '16' AND "Goals against" < '58' | SELECT MIN("Draws") FROM "table_59038" WHERE "Goals against" < '58' AND "Position" = '16' | 0.086914 |
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description 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 flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
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 airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt 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 dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare 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 time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
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 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 airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
| oh let 's see does EA have a flight from ATLANTA to WASHINGTON | SELECT DISTINCT airline.airline_code FROM airline, airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE ((flight.airline_code = 'EA') AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'WASHINGTON' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'ATLANTA' AND flight.airline_code = airline.airline_code AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "airline"."airline_code" FROM "airline" JOIN "flight" ON "airline"."airline_code" = "flight"."airline_code" AND "flight"."airline_code" = 'EA' JOIN "airport_service" "AIRPORT_SERVICE_0" 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 "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'ATLANTA' JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'WASHINGTON' | 0.59082 |
CREATE TABLE table_63893 ("Actor" CLOB, "Character" CLOB, "Soap Opera" CLOB, "Years" CLOB, "Duration" CLOB)
| who is the actor when the character is dinny byrne? | SELECT "Actor" FROM table_63893 WHERE "Character" = 'dinny byrne' | SELECT "Actor" FROM "table_63893" WHERE "Character" = 'dinny byrne' | 0.06543 |
CREATE TABLE table_25228 ("Stage" FLOAT, "Winner" CLOB, "General classification" CLOB, "Points classification" CLOB, "Mountains classification" CLOB, "Young rider classification" CLOB, "Team classification" CLOB, "Combativity award" CLOB)
| What is the total number of winners when the team classification leader was Kelme-Costa Blanca and the combativity award was won by Jacky Durand? | SELECT COUNT("Winner") FROM table_25228 WHERE "Team classification" = 'Kelme-Costa Blanca' AND "Combativity award" = 'Jacky Durand' | SELECT COUNT("Winner") FROM "table_25228" WHERE "Combativity award" = 'Jacky Durand' AND "Team classification" = 'Kelme-Costa Blanca' | 0.129883 |
CREATE TABLE table_34753 ("Rank" FLOAT, "Name" CLOB, "Headquarters" CLOB, "Primary industry" CLOB, "Market value ( USD million ) " FLOAT)
| What is the total market value of all corporations headquartered in Germany? | SELECT COUNT("Market value ( USD million)") FROM table_34753 WHERE "Headquarters" = 'germany' | SELECT COUNT("Market value ( USD million)") FROM "table_34753" WHERE "Headquarters" = 'germany' | 0.092773 |
CREATE TABLE invoiceline (invoicelineid NUMBER, invoiceid NUMBER, trackid NUMBER, unitprice NUMBER, quantity NUMBER)
CREATE TABLE genre (genreid NUMBER, name CLOB)
CREATE TABLE customer (customerid NUMBER, firstname CLOB, lastname CLOB, company CLOB, address CLOB, city CLOB, state CLOB, country CLOB, postalcode CLOB, phone CLOB, fax CLOB, email CLOB, supportrepid NUMBER)
CREATE TABLE invoice (invoiceid NUMBER, customerid NUMBER, invoicedate TIME, billingaddress CLOB, billingcity CLOB, billingstate CLOB, billingcountry CLOB, billingpostalcode CLOB, total NUMBER)
CREATE TABLE album (albumid NUMBER, title CLOB, artistid NUMBER)
CREATE TABLE artist (artistid NUMBER, name CLOB)
CREATE TABLE playlisttrack (playlistid NUMBER, trackid NUMBER)
CREATE TABLE employee (employeeid NUMBER, lastname CLOB, firstname CLOB, title CLOB, reportsto NUMBER, birthdate TIME, hiredate TIME, address CLOB, city CLOB, state CLOB, country CLOB, postalcode CLOB, phone CLOB, fax CLOB, email CLOB)
CREATE TABLE track (trackid NUMBER, name CLOB, albumid NUMBER, mediatypeid NUMBER, genreid NUMBER, composer CLOB, milliseconds NUMBER, bytes NUMBER, unitprice NUMBER)
CREATE TABLE playlist (playlistid NUMBER, name CLOB)
CREATE TABLE mediatype (mediatypeid NUMBER, name CLOB)
| Find the cities corresponding to employees who help customers with the postal code 70174. | SELECT T2.city FROM customer AS T1 JOIN employee AS T2 ON T1.supportrepid = T2.employeeid WHERE T1.postalcode = "70174" | SELECT "T2"."city" FROM "customer" "T1" JOIN "employee" "T2" ON "T1"."supportrepid" = "T2"."employeeid" WHERE "70174" = "T1"."postalcode" | 0.133789 |
CREATE TABLE table_name_21 (score VARCHAR2, venue VARCHAR2, champion VARCHAR2)
| What is the score of the match won by Willie Hunter at the Royal Liverpool Golf Club? | SELECT score FROM table_name_21 WHERE venue = "royal liverpool golf club" AND champion = "willie hunter" | SELECT "score" FROM "table_name_21" WHERE "champion" = "willie hunter" AND "royal liverpool golf club" = "venue" | 0.109375 |
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