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CREATE TABLE table_name_57 (record VARCHAR2, method VARCHAR2, opponent VARCHAR2)
| Which record has tko (strikes) as the method, and daan kooiman as the opponent? | SELECT record FROM table_name_57 WHERE method = "tko (strikes)" AND opponent = "daan kooiman" | SELECT "record" FROM "table_name_57" WHERE "daan kooiman" = "opponent" AND "method" = "tko (strikes)" | 0.098633 |
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
| what is the prochlorperazine maleate 10 mg po tabs price? | SELECT DISTINCT cost.cost FROM cost WHERE cost.eventtype = 'medication' AND cost.eventid IN (SELECT medication.medicationid FROM medication WHERE medication.drugname = 'prochlorperazine maleate 10 mg po tabs') | WITH "_u_0" AS (SELECT "medication"."medicationid" FROM "medication" WHERE "medication"."drugname" = 'prochlorperazine maleate 10 mg po tabs' GROUP BY "medicationid") SELECT DISTINCT "cost"."cost" FROM "cost" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "cost"."eventid" WHERE "cost"."eventtype" = 'medication' AND NOT "_u_0"."" IS NULL | 0.322266 |
CREATE TABLE table_35816 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" CLOB, "Result" CLOB)
| Which party was re-elected in south carolina 5 district? | SELECT "Party" FROM table_35816 WHERE "Result" = 're-elected' AND "District" = 'south carolina 5' | SELECT "Party" FROM "table_35816" WHERE "District" = 'south carolina 5' AND "Result" = 're-elected' | 0.09668 |
CREATE TABLE table_1589 ("Character" CLOB, "Indianapolis Concerts" CLOB, "Sarasota" CLOB, "Broadway" CLOB, "Brighton Cast" CLOB)
| Name the sarasota samantha sharpe | SELECT "Sarasota" FROM table_1589 WHERE "Indianapolis Concerts" = 'Samantha Sharpe' | SELECT "Sarasota" FROM "table_1589" WHERE "Indianapolis Concerts" = 'Samantha Sharpe' | 0.083008 |
CREATE TABLE table_name_83 (game VARCHAR2, record VARCHAR2)
| How many games had a record of 16-17? | SELECT COUNT(game) FROM table_name_83 WHERE record = "16-17" | SELECT COUNT("game") FROM "table_name_83" WHERE "16-17" = "record" | 0.064453 |
CREATE TABLE table_23278 ("Rnd" FLOAT, "Circuit" CLOB, "Pole Position" CLOB, "Fastest Lap" CLOB, "Winner" CLOB, "Results" CLOB)
| How many races had #99 gainsco/bob stallings racing in round 10? | SELECT COUNT("Fastest Lap") FROM table_23278 WHERE "Rnd" = '10' AND "Pole Position" = '#99 GAINSCO/Bob Stallings Racing' | SELECT COUNT("Fastest Lap") FROM "table_23278" WHERE "Pole Position" = '#99 GAINSCO/Bob Stallings Racing' AND "Rnd" = '10' | 0.119141 |
CREATE TABLE table_24587026_1 (team VARCHAR2, points VARCHAR2)
| Name the team for 22 points | SELECT team FROM table_24587026_1 WHERE points = "22" | SELECT "team" FROM "table_24587026_1" WHERE "22" = "points" | 0.057617 |
CREATE TABLE table_24126606_2 (opponent VARCHAR2, week VARCHAR2)
| Name the opponent for week 12 | SELECT opponent FROM table_24126606_2 WHERE week = 12 | SELECT "opponent" FROM "table_24126606_2" WHERE "week" = 12 | 0.057617 |
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
| For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, give me the comparison about the average of salary over the job_id , and group by attribute job_id, I want to order in descending by the JOB_ID please. | SELECT JOB_ID, AVG(SALARY) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 GROUP BY JOB_ID ORDER BY JOB_ID DESC | SELECT "JOB_ID", AVG("SALARY") FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) GROUP BY "JOB_ID" ORDER BY "JOB_ID" DESC | 0.239258 |
CREATE TABLE table_36402 ("Round" FLOAT, "Player" CLOB, "Position" CLOB, "Nationality" CLOB, "College/Junior/Club Team" CLOB)
| What is the highest round for the pick from Finland? | SELECT MAX("Round") FROM table_36402 WHERE "Nationality" = 'finland' | SELECT MAX("Round") FROM "table_36402" WHERE "Nationality" = 'finland' | 0.068359 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| provide the number of patients whose admission type is urgent and diagnoses icd9 code is 725? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_type = "URGENT" AND diagnoses.icd9_code = "725" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "725" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "URGENT" = "demographic"."admission_type" | 0.214844 |
CREATE TABLE table_name_64 (Id VARCHAR2)
| Which 2013 has a 2006 of grand slam tournaments? | SELECT 2013 FROM table_name_64 WHERE 2006 = "grand slam tournaments" | SELECT 2013 FROM "table_name_64" WHERE "grand slam tournaments" = 2006 | 0.068359 |
CREATE TABLE table_39305 ("Nationality" CLOB, "Matches" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Win %" FLOAT)
| Lost of 18 had what sum of win %? | SELECT SUM("Win %") FROM table_39305 WHERE "Lost" = '18' | SELECT SUM("Win %") FROM "table_39305" WHERE "Lost" = '18' | 0.056641 |
CREATE TABLE table_74852 ("Game" FLOAT, "October" FLOAT, "Opponent" CLOB, "Score" CLOB, "Record" CLOB, "Points" FLOAT)
| How many Points have an Opponent of @ los angeles kings and a Game larger than 4? | SELECT AVG("Points") FROM table_74852 WHERE "Opponent" = '@ los angeles kings' AND "Game" > '4' | SELECT AVG("Points") FROM "table_74852" WHERE "Game" > '4' AND "Opponent" = '@ los angeles kings' | 0.094727 |
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
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 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)
| i'd like to fly from COLUMBUS to NASHVILLE tomorrow morning | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE ((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'NASHVILLE' AND date_day.day_number = 20 AND date_day.month_number = 1 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'COLUMBUS' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.departure_time BETWEEN 0 AND 1200 | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 20 AND "date_day"."month_number" = 1 AND "date_day"."year" = 1991 JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'COLUMBUS' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" AND "flight"."departure_time" <= 1200 AND "flight"."departure_time" >= 0 JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'NASHVILLE' | 0.767578 |
CREATE TABLE table_5872 ("city" CLOB, "area 1996 km\\u00b2" FLOAT, "area 2006 km\\u00b2" FLOAT, "pop. 1999" CLOB, "pop. 2003" CLOB, "pop. 2006" FLOAT)
| Which area 2006 km has an area 1996 km smaller than 17.31? | SELECT MAX("area 2006 km\u00b2") FROM table_5872 WHERE "area 1996 km\u00b2" < '17.31' | SELECT MAX("area 2006 km\u00b2") FROM "table_5872" WHERE "area 1996 km\u00b2" < '17.31' | 0.084961 |
CREATE TABLE table_70020 ("Season" FLOAT, "Host" CLOB, "Winners" CLOB, "Score" CLOB, "Runners-up" CLOB, "Third place" CLOB)
| What is the latest season where Al Ahly is the runners-up? | SELECT MAX("Season") FROM table_70020 WHERE "Runners-up" = 'al ahly' | SELECT MAX("Season") FROM "table_70020" WHERE "Runners-up" = 'al ahly' | 0.068359 |
CREATE TABLE table_77648 ("Team" CLOB, "Home city" CLOB, "Stadium" CLOB, "Capacity" FLOAT, "2011\\u201312 season" CLOB)
| What team had a capacity of over 26,542, a home city of milan, and finished the 2011-2012 season 6th in serie a? | SELECT "Team" FROM table_77648 WHERE "Capacity" > '26,542' AND "Home city" = 'milan' AND "2011\u201312 season" = '6th in serie a' | SELECT "Team" FROM "table_77648" WHERE "2011\u201312 season" = '6th in serie a' AND "Capacity" > '26,542' AND "Home city" = 'milan' | 0.12793 |
CREATE TABLE table_4283 ("Umpire" CLOB, "Country" CLOB, "Panel" CLOB, "Matches" FLOAT, "WC Matches" FLOAT, "2011 WC" FLOAT)
| in which country whe wc maches was 15 | SELECT "Country" FROM table_4283 WHERE "WC Matches" = '15' | SELECT "Country" FROM "table_4283" WHERE "WC Matches" = '15' | 0.058594 |
CREATE TABLE table_72145 ("Pick #" FLOAT, "CFL Team" CLOB, "Player" CLOB, "Position" CLOB, "College" CLOB)
| What position does Christian Leibl-Cote play? | SELECT "Position" FROM table_72145 WHERE "Player" = 'Christian Leibl-Cote' | SELECT "Position" FROM "table_72145" WHERE "Player" = 'Christian Leibl-Cote' | 0.074219 |
CREATE TABLE table_21337 ("Department" CLOB, "Projects" FLOAT, "Municipalities" FLOAT, "Farmers" FLOAT, "Irrigated Ha" FLOAT, "BID/PRONAR Investment ( US$ ) " CLOB, "Local Investment ( US$ ) " CLOB, "Total" CLOB)
| What was the department that got $626,798 in local investments? | SELECT "Department" FROM table_21337 WHERE "Local Investment (US$)" = '626,798' | SELECT "Department" FROM "table_21337" WHERE "Local Investment (US$)" = '626,798' | 0.079102 |
CREATE TABLE table_23377 ("Year" CLOB, "Division" CLOB, "League" CLOB, "Regular Season" CLOB, "Playoffs" CLOB, "Open Cup" CLOB)
| When final is the open cup what is the league? | SELECT "League" FROM table_23377 WHERE "Open Cup" = 'Final' | SELECT "League" FROM "table_23377" WHERE "Open Cup" = 'Final' | 0.05957 |
CREATE TABLE table_11179 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| When was there a crowd larger than 23,000? | SELECT "Date" FROM table_11179 WHERE "Crowd" > '23,000' | SELECT "Date" FROM "table_11179" WHERE "Crowd" > '23,000' | 0.055664 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is diagnoses long title of diagnoses icd9 code v489? | SELECT diagnoses.long_title FROM diagnoses WHERE diagnoses.icd9_code = "V489" | SELECT "diagnoses"."long_title" FROM "diagnoses" WHERE "V489" = "diagnoses"."icd9_code" | 0.084961 |
CREATE TABLE clients (client_id NUMBER, address_id NUMBER, customer_email_address CLOB, customer_name CLOB, customer_phone CLOB, other_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 performers (performer_id NUMBER, address_id NUMBER, customer_name CLOB, customer_phone CLOB, customer_email_address CLOB, other_details CLOB)
CREATE TABLE marketing_regions (marketing_region_code CLOB, marketing_region_name CLOB, marketing_region_descriptrion 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 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 order_items (order_item_id NUMBER, order_id NUMBER, product_id NUMBER, order_quantity CLOB, other_item_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)
CREATE TABLE ref_service_types (service_type_code CLOB, parent_service_type_code CLOB, service_type_description CLOB)
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_in_bookings (order_id NUMBER, performer_id NUMBER)
CREATE TABLE customers (customer_id CLOB, address_id NUMBER, customer_name CLOB, customer_phone CLOB, customer_email_address CLOB, other_details 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 products (product_id CLOB, product_name CLOB, product_price NUMBER, product_description CLOB, other_product_service_details CLOB)
CREATE TABLE ref_payment_methods (payment_method_code CLOB, payment_method_description CLOB)
CREATE TABLE bookings_services (order_id NUMBER, product_id NUMBER)
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 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)
| Return the the names of the drama workshop groups that are located in Feliciaberg city. | SELECT T2.store_name FROM addresses AS T1 JOIN drama_workshop_groups AS T2 ON T1.address_id = T2.address_id WHERE T1.city_town = "Feliciaberg" | SELECT "T2"."store_name" FROM "addresses" "T1" JOIN "drama_workshop_groups" "T2" ON "T1"."address_id" = "T2"."address_id" WHERE "Feliciaberg" = "T1"."city_town" | 0.15625 |
CREATE TABLE Services (Service_ID NUMBER, Service_name VARCHAR2)
CREATE TABLE Customers_Policies (Customer_ID NUMBER, Policy_ID NUMBER, Date_Opened DATE, Date_Closed DATE)
CREATE TABLE First_Notification_of_Loss (FNOL_ID NUMBER, Customer_ID NUMBER, Policy_ID NUMBER, Service_ID NUMBER)
CREATE TABLE Customers (Customer_ID NUMBER, Customer_name VARCHAR2)
CREATE TABLE Claims (Claim_ID NUMBER, FNOL_ID NUMBER, Effective_Date DATE)
CREATE TABLE Settlements (Settlement_ID NUMBER, Claim_ID NUMBER, Effective_Date DATE, Settlement_Amount FLOAT)
CREATE TABLE Available_Policies (Policy_ID NUMBER, policy_type_code CHAR, Customer_Phone VARCHAR2)
| List all the customers in increasing order of IDs by a bar chart. | SELECT Customer_name, Customer_ID FROM Customers ORDER BY Customer_ID | SELECT "Customer_name", "Customer_ID" FROM "Customers" ORDER BY "Customer_ID" | 0.075195 |
CREATE TABLE table_name_86 (network VARCHAR2, title VARCHAR2)
| What is the Network, when Title is 'Epik High's Love And Delusion'? | SELECT network FROM table_name_86 WHERE title = "epik high's love and delusion" | SELECT "network" FROM "table_name_86" WHERE "epik high's love and delusion" = "title" | 0.083008 |
CREATE TABLE table_name_42 (score VARCHAR2, player VARCHAR2)
| What was Lee Trevino's score? | SELECT score FROM table_name_42 WHERE player = "lee trevino" | SELECT "score" FROM "table_name_42" WHERE "lee trevino" = "player" | 0.064453 |
CREATE TABLE table_name_13 (pick__number NUMBER, player VARCHAR2)
| What pick number was player Greg McKegg? | SELECT AVG(pick__number) FROM table_name_13 WHERE player = "greg mckegg" | SELECT AVG("pick__number") FROM "table_name_13" WHERE "greg mckegg" = "player" | 0.076172 |
CREATE TABLE table_name_64 (location VARCHAR2, name VARCHAR2)
| What was the locaction of the Evans test blast? | SELECT location FROM table_name_64 WHERE name = "evans" | SELECT "location" FROM "table_name_64" WHERE "evans" = "name" | 0.05957 |
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE 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 Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
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 PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId 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 ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewTaskTypes (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)
| Search users by user name pattern. To search for an exact name, just type it as the pattern. To search for names containing Bob, use the pattern %Bob%. To search for names starting with Bob, use the pattern Bob%. To include an apostrophe in the pattern, double it (e.g. %O B% finds Alice O'Hara). | SELECT Id AS "user_link", Reputation, CreationDate, LastAccessDate FROM Users WHERE DisplayName LIKE '##Pattern##' | SELECT "Id" AS "user_link", "Reputation", "CreationDate", "LastAccessDate" FROM "Users" WHERE "DisplayName" LIKE '##Pattern##' | 0.123047 |
CREATE TABLE table_name_36 (home_team VARCHAR2, venue VARCHAR2)
| What was the home team when the game was at Windy Hill? | SELECT home_team FROM table_name_36 WHERE venue = "windy hill" | SELECT "home_team" FROM "table_name_36" WHERE "venue" = "windy hill" | 0.066406 |
CREATE TABLE table_36483 ("Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Opponent in the final" CLOB, "Score" CLOB)
| What tournament did Smeets play against Mark nielsen? | SELECT "Tournament" FROM table_36483 WHERE "Opponent in the final" = 'mark nielsen' | SELECT "Tournament" FROM "table_36483" WHERE "Opponent in the final" = 'mark nielsen' | 0.083008 |
CREATE TABLE table_1603807_2 (length VARCHAR2, line VARCHAR2)
| How many lengths of line 3 are given? | SELECT COUNT(length) FROM table_1603807_2 WHERE line = "line 3" | SELECT COUNT("length") FROM "table_1603807_2" WHERE "line 3" = "line" | 0.067383 |
CREATE TABLE table_38099 ("Hindi" CLOB, "Romani" CLOB, "Domari" CLOB, "Lomavren" CLOB, "Persian" CLOB)
| What is the Domari associated with a Persian of yak, yek? | SELECT "Domari" FROM table_38099 WHERE "Persian" = 'yak, yek' | SELECT "Domari" FROM "table_38099" WHERE "Persian" = 'yak, yek' | 0.061523 |
CREATE TABLE table_name_30 (position VARCHAR2, pick__number VARCHAR2, player VARCHAR2)
| What position does Bobby Micho, who was picked later than 186 others, play on the Broncos team? | SELECT position FROM table_name_30 WHERE pick__number > 186 AND player = "bobby micho" | SELECT "position" FROM "table_name_30" WHERE "bobby micho" = "player" AND "pick__number" > 186 | 0.091797 |
CREATE TABLE table_77079 ("Player" CLOB, "Nationality" CLOB, "Jersey Number ( s ) " FLOAT, "Position" CLOB, "Years" CLOB, "From" CLOB)
| What was the highest jersey number for the player from oklahoma baptist? | SELECT MAX("Jersey Number(s)") FROM table_77079 WHERE "From" = 'oklahoma baptist' | SELECT MAX("Jersey Number(s)") FROM "table_77079" WHERE "From" = 'oklahoma baptist' | 0.081055 |
CREATE TABLE table_863 ("Season" FLOAT, "Winner" CLOB, "BYU-UU score" CLOB, "BYU-USU score" CLOB, "UU-USU score" CLOB)
| what's the byu-uu score with uu-usu score being 44 16 | SELECT "BYU-UU score" FROM table_863 WHERE "UU-USU score" = '44–16' | SELECT "BYU-UU score" FROM "table_863" WHERE "UU-USU score" = '44–16' | 0.067383 |
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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title 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 procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| what was the last value of a phosphate laboratory testing of patient 23002 since 05/2105? | SELECT labevents.valuenum FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 23002) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'phosphate') AND STRFTIME('%y-%m', labevents.charttime) >= '2105-05' ORDER BY labevents.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 23002 GROUP BY "hadm_id"), "_u_1" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'phosphate' GROUP BY "itemid") SELECT "labevents"."valuenum" FROM "labevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "labevents"."hadm_id" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "labevents"."itemid" WHERE NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m', "labevents"."charttime") >= '2105-05' ORDER BY "labevents"."charttime" DESC FETCH FIRST 1 ROWS ONLY | 0.572266 |
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 minimum age of patients whose discharge location is home and primary disease is posterior communicating aneurysm/sda? | SELECT MIN(demographic.age) FROM demographic WHERE demographic.discharge_location = "HOME" AND demographic.diagnosis = "POSTERIOR COMMUNICATING ANEURYSM/SDA" | SELECT MIN("demographic"."age") FROM "demographic" WHERE "HOME" = "demographic"."discharge_location" AND "POSTERIOR COMMUNICATING ANEURYSM/SDA" = "demographic"."diagnosis" | 0.166992 |
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 regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
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 jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
| For all employees who have the letters D or S in their first name, visualize a bar chart about the distribution of job_id and the amount of job_id , and group by attribute job_id, list in descending by the Y-axis. | SELECT JOB_ID, COUNT(JOB_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY COUNT(JOB_ID) DESC | SELECT "JOB_ID", COUNT("JOB_ID") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' GROUP BY "JOB_ID" ORDER BY COUNT("JOB_ID") DESC | 0.150391 |
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
| Do you have any other suggestions for easier theory classes than ES 395 ? | SELECT DISTINCT course.department, course.name, course.number, program_course.workload FROM course INNER JOIN area ON course.course_id = area.course_id INNER JOIN program_course ON program_course.course_id = course.course_id WHERE area.area LIKE '%theory%' AND program_course.workload < (SELECT MIN(PROGRAM_COURSEalias1.workload) FROM course AS COURSEalias1 INNER JOIN program_course AS PROGRAM_COURSEalias1 ON PROGRAM_COURSEalias1.course_id = COURSEalias1.course_id WHERE COURSEalias1.department = 'ES' AND COURSEalias1.number = 395) ORDER BY program_course.workload | WITH "_u_0" AS (SELECT MIN("PROGRAM_COURSEalias1"."workload") FROM "course" "COURSEalias1" JOIN "program_course" "PROGRAM_COURSEalias1" ON "COURSEalias1"."course_id" = "PROGRAM_COURSEalias1"."course_id" WHERE "COURSEalias1"."department" = 'ES' AND "COURSEalias1"."number" = 395) SELECT DISTINCT "course"."department", "course"."name", "course"."number", "program_course"."workload" FROM "course" JOIN "area" ON "area"."area" LIKE '%theory%' AND "area"."course_id" = "course"."course_id" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" JOIN "_u_0" "_u_0" ON "_u_0"."" > "program_course"."workload" ORDER BY "program_course"."workload" | 0.646484 |
CREATE TABLE table_26631 ("Name" CLOB, "Deceased Spouse" CLOB, "Cause of Death" CLOB, "Date of Spouses Death" CLOB, "Length of Marriage" CLOB, "Children Together" CLOB, "Current Marital Status" CLOB)
| Name the decease spouse for carol deluise | SELECT "Deceased Spouse" FROM table_26631 WHERE "Name" = 'Carol DeLuise' | SELECT "Deceased Spouse" FROM "table_26631" WHERE "Name" = 'Carol DeLuise' | 0.072266 |
CREATE TABLE rooms (roomid CLOB, roomname CLOB, beds NUMBER, bedtype CLOB, maxoccupancy NUMBER, baseprice NUMBER, decor CLOB)
CREATE TABLE reservations (code NUMBER, room CLOB, checkin CLOB, checkout CLOB, rate NUMBER, lastname CLOB, firstname CLOB, adults NUMBER, kids NUMBER)
| For each bed type, find the average base price of different bed type. | SELECT bedtype, AVG(baseprice) FROM rooms GROUP BY bedtype | SELECT "bedtype", AVG("baseprice") FROM "rooms" GROUP BY "bedtype" | 0.064453 |
CREATE TABLE table_19054 ("Call sign" CLOB, "Frequency MHz" CLOB, "City of license" CLOB, "ERP W" FLOAT, "Height m ( ft ) " CLOB, "FCC info" CLOB, "Notes" CLOB)
| how many height m ( ft ) with frequency mhz being 100.1 | SELECT COUNT("Height m ( ft )") FROM table_19054 WHERE "Frequency MHz" = '100.1' | SELECT COUNT("Height m ( ft )") FROM "table_19054" WHERE "Frequency MHz" = '100.1' | 0.080078 |
CREATE TABLE table_70560 ("Year" FLOAT, "Division" FLOAT, "League" CLOB, "Regular Season" CLOB, "Playoffs" CLOB, "Open Cup" CLOB)
| What is the year when they did not qualify for the playoff and the Regular Season shows as 10th? | SELECT COUNT("Year") FROM table_70560 WHERE "Playoffs" = 'did not qualify' AND "Regular Season" = '10th' | SELECT COUNT("Year") FROM "table_70560" WHERE "Playoffs" = 'did not qualify' AND "Regular Season" = '10th' | 0.103516 |
CREATE TABLE table_test_20 ("id" NUMBER, "ejection_fraction_ef" NUMBER, "anemia" BOOLEAN, "gender" CLOB, "bleeding" NUMBER, "systolic_blood_pressure_sbp" NUMBER, "left_main_coronary_artery_stenosis" NUMBER, "hemoglobin_a1c_hba1c" FLOAT, "renal_disease" BOOLEAN, "creatinine_clearance_cl" FLOAT, "prior_creatinine" FLOAT, "diastolic_blood_pressure_dbp" NUMBER, "hypertension" BOOLEAN, "age" FLOAT, "NOUSE" FLOAT)
| hypertension defined as blood pressure ( bp ) > 180 / 110 mmhg ( systolic blood pressure ( sbp ) 180 mmhg and / or diastolic blood pressure ( dbp ) > 110 mmhg ) on repeated measurements during current admission prior to randomisation | SELECT * FROM table_test_20 WHERE hypertension = 1 OR (systolic_blood_pressure_sbp > 180 OR diastolic_blood_pressure_dbp > 110) | SELECT * FROM "table_test_20" WHERE "diastolic_blood_pressure_dbp" > 110 OR "hypertension" = 1 OR "systolic_blood_pressure_sbp" > 180 | 0.129883 |
CREATE TABLE table_14761 ("Election" CLOB, "1st Member" CLOB, "1st Party" CLOB, "2nd Member" CLOB, "2nd Party" CLOB)
| Which election has a 1st Member of constituency abolished? | SELECT "Election" FROM table_14761 WHERE "1st Member" = 'constituency abolished' | SELECT "Election" FROM "table_14761" WHERE "1st Member" = 'constituency abolished' | 0.080078 |
CREATE TABLE table_1495 ("Series #" FLOAT, "Season #" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "U.S. viewers ( millions ) " CLOB)
| Name the directed by for 15.15 viewers | SELECT "Directed by" FROM table_1495 WHERE "U.S. viewers (millions)" = '15.15' | SELECT "Directed by" FROM "table_1495" WHERE "U.S. viewers (millions)" = '15.15' | 0.078125 |
CREATE TABLE table_29876 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| What`s the score in October 7. | SELECT "Score" FROM table_29876 WHERE "Date" = 'October 7' | SELECT "Score" FROM "table_29876" WHERE "Date" = 'October 7' | 0.058594 |
CREATE TABLE table_204_143 (id NUMBER, "national park" CLOB, "region" CLOB, "land area ( km2 ) " NUMBER, "established" NUMBER, "visitation ( 2009 ) " NUMBER, "coordinates" CLOB)
| which national park has the least visitation ? | SELECT "national park" FROM table_204_143 ORDER BY "visitation (2009)" LIMIT 1 | SELECT "national park" FROM "table_204_143" ORDER BY "visitation (2009)" FETCH FIRST 1 ROWS ONLY | 0.09375 |
CREATE TABLE table_9867 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Record" CLOB, "Points" FLOAT)
| What was the record when Vancouver was the visitor? | SELECT "Record" FROM table_9867 WHERE "Visitor" = 'vancouver' | SELECT "Record" FROM "table_9867" WHERE "Visitor" = 'vancouver' | 0.061523 |
CREATE TABLE table_201_31 (id NUMBER, "number" NUMBER, "author" CLOB, "first line" CLOB, "notes" CLOB)
| which author had a poem on this list with the first line as it fell upon day and also a poem that starts with if music and sweet poetry agree . | SELECT "author" FROM table_201_31 WHERE "first line" = '"as it fell upon a day"' | SELECT "author" FROM "table_201_31" WHERE "first line" = '"as it fell upon a day"' | 0.080078 |
CREATE TABLE table_name_48 (game VARCHAR2, team VARCHAR2)
| What is Game, when Team is 'Philadelphia | SELECT game FROM table_name_48 WHERE team = "philadelphia" | SELECT "game" FROM "table_name_48" WHERE "philadelphia" = "team" | 0.0625 |
CREATE TABLE table_49876 ("Tie no" FLOAT, "Home team" CLOB, "Score" CLOB, "Away team" CLOB, "Date" CLOB)
| What was the score when the Tie no was 6? | SELECT "Score" FROM table_49876 WHERE "Tie no" = '6' | SELECT "Score" FROM "table_49876" WHERE "Tie no" = '6' | 0.052734 |
CREATE TABLE table_7998 ("Date" CLOB, "Season" CLOB, "Playing for" CLOB, "Opponent" CLOB, "Final score" CLOB)
| What shows for playing when the opponent was Real Espa a, in the 2012 13 season? | SELECT "Playing for" FROM table_7998 WHERE "Opponent" = 'real españa' AND "Season" = '2012–13' | SELECT "Playing for" FROM "table_7998" WHERE "Opponent" = 'real españa' AND "Season" = '2012–13' | 0.09375 |
CREATE TABLE table_204_455 (id NUMBER, "rd." NUMBER, "grand prix" CLOB, "date" CLOB, "location" CLOB, "pole position" CLOB, "fastest lap" CLOB, "winning driver" CLOB, "constructor" CLOB, "report" CLOB)
| how many did alain prost have the fastest lap ? | SELECT COUNT(*) FROM table_204_455 WHERE "fastest lap" = 'alain prost' | SELECT COUNT(*) FROM "table_204_455" WHERE "fastest lap" = 'alain prost' | 0.070313 |
CREATE TABLE swimmer (name VARCHAR2, id VARCHAR2)
CREATE TABLE record (swimmer_id VARCHAR2)
| Find the name of the swimmer who has the most records. | SELECT t1.name FROM swimmer AS t1 JOIN record AS t2 ON t1.id = t2.swimmer_id GROUP BY t2.swimmer_id ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "t1"."name" FROM "swimmer" "t1" JOIN "record" "t2" ON "t1"."id" = "t2"."swimmer_id" GROUP BY "t2"."swimmer_id" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY | 0.160156 |
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 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)
| what is date of birth and admission location of subject name jerry deberry? | SELECT demographic.dob, demographic.admission_location FROM demographic WHERE demographic.name = "Jerry Deberry" | SELECT "demographic"."dob", "demographic"."admission_location" FROM "demographic" WHERE "Jerry Deberry" = "demographic"."name" | 0.123047 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE 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)
| Get me the number of patients admitted before 2198 who had diagnoses icd9 code 7830. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2198" AND diagnoses.icd9_code = "7830" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "7830" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "2198" > "demographic"."admityear" | 0.208984 |
CREATE TABLE table_66138 ("Rank" FLOAT, "Athlete" CLOB, "Country" CLOB, "Time" CLOB, "Notes" CLOB)
| what is the rank for athlete hauffe, seifert, kaeufer, adamski? | SELECT SUM("Rank") FROM table_66138 WHERE "Athlete" = 'hauffe, seifert, kaeufer, adamski' | SELECT SUM("Rank") FROM "table_66138" WHERE "Athlete" = 'hauffe, seifert, kaeufer, adamski' | 0.088867 |
CREATE TABLE table_27643 ("Letters" CLOB, "Organization" CLOB, "Nickname" CLOB, "Founding Date" CLOB, "Founding University" CLOB, "Type" CLOB)
| What was the founding date for the 'AEPI'? | SELECT "Founding Date" FROM table_27643 WHERE "Nickname" = 'AEPi' | SELECT "Founding Date" FROM "table_27643" WHERE "Nickname" = 'AEPi' | 0.06543 |
CREATE TABLE table_42165 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Site/Stadium" CLOB, "Record" CLOB)
| On what day was a game played at Reese Smith Field, with a score of 4-3? | SELECT "Date" FROM table_42165 WHERE "Score" = '4-3' AND "Site/Stadium" = 'reese smith field' | SELECT "Date" FROM "table_42165" WHERE "Score" = '4-3' AND "Site/Stadium" = 'reese smith field' | 0.092773 |
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)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
| indicate the monthly maximum amount of respiration for patient 007-2065 since 77 months ago. | SELECT MAX(vitalperiodic.respiration) FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '007-2065')) AND NOT vitalperiodic.respiration IS NULL AND DATETIME(vitalperiodic.observationtime) >= DATETIME(CURRENT_TIME(), '-77 month') GROUP BY STRFTIME('%y-%m', vitalperiodic.observationtime) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '007-2065' 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("vitalperiodic"."respiration") FROM "vitalperiodic" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE DATETIME("vitalperiodic"."observationtime") >= DATETIME(CURRENT_TIME(), '-77 month') AND NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."respiration" IS NULL GROUP BY STRFTIME('%y-%m', "vitalperiodic"."observationtime") | 0.699219 |
CREATE TABLE table_dev_28 ("id" NUMBER, "gender" CLOB, "systolic_blood_pressure_sbp" NUMBER, "consent" BOOLEAN, "hemoglobin_a1c_hba1c" FLOAT, "hematocrit_hct" FLOAT, "fasting_triglycerides" NUMBER, "fasting_blood_glucose_fbg" FLOAT, "diastolic_blood_pressure_dbp" NUMBER, "hba1c" FLOAT, "metformin" BOOLEAN, "age" FLOAT, "NOUSE" FLOAT)
| systolic blood pressure greater than 160 mmhg, or diastolic blood pressure greater than 100 mmhg at screening | SELECT * FROM table_dev_28 WHERE systolic_blood_pressure_sbp > 160 OR diastolic_blood_pressure_dbp > 100 | SELECT * FROM "table_dev_28" WHERE "diastolic_blood_pressure_dbp" > 100 OR "systolic_blood_pressure_sbp" > 160 | 0.107422 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| Let me know the number of widow patients who had a rdw lab test. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.marital_status = "WIDOWED" AND lab.label = "RDW" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "RDW" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "WIDOWED" = "demographic"."marital_status" | 0.194336 |
CREATE TABLE table_71830 ("Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Opponent in the Final" CLOB, "Score in the Final" CLOB)
| On which surface did Mathieu play against Antonio Vei ? | SELECT "Surface" FROM table_71830 WHERE "Opponent in the Final" = 'antonio veić' | SELECT "Surface" FROM "table_71830" WHERE "Opponent in the Final" = 'antonio veić' | 0.080078 |
CREATE TABLE table_name_53 (h___a VARCHAR2, round VARCHAR2)
| Was the semi-final round held at home or away? | SELECT h___a FROM table_name_53 WHERE round = "semi-final" | SELECT "h___a" FROM "table_name_53" WHERE "round" = "semi-final" | 0.0625 |
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom 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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_icd_diagnoses (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 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 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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE 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 d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto 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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
| what was the first time that the heart rate of patient 31880 was, on 01/10/last year, greater than 100.0? | SELECT chartevents.charttime FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 31880)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'heart rate' AND d_items.linksto = 'chartevents') AND chartevents.valuenum > 100.0 AND DATETIME(chartevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m-%d', chartevents.charttime) = '01-10' ORDER BY chartevents.charttime LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 31880 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'heart rate' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT "chartevents"."charttime" FROM "chartevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE "chartevents"."valuenum" > 100.0 AND DATETIME("chartevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL AND STRFTIME('%m-%d', "chartevents"."charttime") = '01-10' ORDER BY "chartevents"."charttime" FETCH FIRST 1 ROWS ONLY | 0.922852 |
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)
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)
| provide the number of patients whose age is less than 63 and drug name is pneumococcal vac polyvalent? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "63" AND prescriptions.drug = "PNEUMOcoccal Vac Polyvalent" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "PNEUMOcoccal Vac Polyvalent" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "63" > "demographic"."age" | 0.230469 |
CREATE TABLE Customer_Orders (Order_ID NUMBER, Customer_ID NUMBER, Store_ID NUMBER, Order_Date DATETIME, Planned_Delivery_Date DATETIME, Actual_Delivery_Date DATETIME, Other_Order_Details VARCHAR2)
CREATE TABLE Drama_Workshop_Groups (Workshop_Group_ID NUMBER, Address_ID NUMBER, Currency_Code CHAR, Marketing_Region_Code CHAR, Store_Name VARCHAR2, Store_Phone VARCHAR2, Store_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Bookings_Services (Order_ID NUMBER, Product_ID NUMBER)
CREATE TABLE Products (Product_ID VARCHAR2, Product_Name VARCHAR2, Product_Price NUMBER, Product_Description VARCHAR2, Other_Product_Service_Details VARCHAR2)
CREATE TABLE Services (Service_ID NUMBER, Service_Type_Code CHAR, Workshop_Group_ID NUMBER, Product_Description VARCHAR2, Product_Name VARCHAR2, Product_Price NUMBER, Other_Product_Service_Details VARCHAR2)
CREATE TABLE Invoice_Items (Invoice_Item_ID NUMBER, Invoice_ID NUMBER, Order_ID NUMBER, Order_Item_ID NUMBER, Product_ID NUMBER, Order_Quantity NUMBER, Other_Item_Details VARCHAR2)
CREATE TABLE Ref_Payment_Methods (payment_method_code CHAR, payment_method_description VARCHAR2)
CREATE TABLE Performers (Performer_ID NUMBER, Address_ID NUMBER, Customer_Name VARCHAR2, Customer_Phone VARCHAR2, Customer_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Clients (Client_ID NUMBER, Address_ID NUMBER, Customer_Email_Address VARCHAR2, Customer_Name VARCHAR2, Customer_Phone VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Order_Items (Order_Item_ID NUMBER, Order_ID NUMBER, Product_ID NUMBER, Order_Quantity VARCHAR2, Other_Item_Details VARCHAR2)
CREATE TABLE Stores (Store_ID VARCHAR2, Address_ID NUMBER, Marketing_Region_Code CHAR, Store_Name VARCHAR2, Store_Phone VARCHAR2, Store_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Invoices (Invoice_ID NUMBER, Order_ID NUMBER, payment_method_code CHAR, Product_ID NUMBER, Order_Quantity VARCHAR2, Other_Item_Details VARCHAR2, Order_Item_ID NUMBER)
CREATE TABLE Bookings (Booking_ID NUMBER, Customer_ID NUMBER, Workshop_Group_ID VARCHAR2, Status_Code CHAR, Store_ID NUMBER, Order_Date DATETIME, Planned_Delivery_Date DATETIME, Actual_Delivery_Date DATETIME, Other_Order_Details VARCHAR2)
CREATE TABLE Marketing_Regions (Marketing_Region_Code CHAR, Marketing_Region_Name VARCHAR2, Marketing_Region_Descriptrion VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Performers_in_Bookings (Order_ID NUMBER, Performer_ID NUMBER)
CREATE TABLE Ref_Service_Types (Service_Type_Code CHAR, Parent_Service_Type_Code CHAR, Service_Type_Description VARCHAR2)
CREATE TABLE Customers (Customer_ID VARCHAR2, Address_ID NUMBER, Customer_Name VARCHAR2, Customer_Phone VARCHAR2, Customer_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Addresses (Address_ID VARCHAR2, Line_1 VARCHAR2, Line_2 VARCHAR2, City_Town VARCHAR2, State_County VARCHAR2, Other_Details VARCHAR2)
| Give the proportion of what are the different product names? What is the average product price for each of them? | SELECT Product_Name, AVG(Product_Price) FROM Products GROUP BY Product_Name | SELECT "Product_Name", AVG("Product_Price") FROM "Products" GROUP BY "Product_Name" | 0.081055 |
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 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)
| count the number of patients whose admission type is emergency and procedure long title is other partial resection of small intestine? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND procedures.long_title = "Other partial resection of small intestine" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Other partial resection of small intestine" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "EMERGENCY" = "demographic"."admission_type" | 0.259766 |
CREATE TABLE table_name_76 (opponent VARCHAR2, record VARCHAR2)
| What opponent has 8-10 as the record? | SELECT opponent FROM table_name_76 WHERE record = "8-10" | SELECT "opponent" FROM "table_name_76" WHERE "8-10" = "record" | 0.060547 |
CREATE TABLE table_79722 ("Rank" FLOAT, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What are the most bronze medals in a rank more than 1 with a total larger than 3? | SELECT MAX("Bronze") FROM table_79722 WHERE "Total" > '3' AND "Rank" > '1' | SELECT MAX("Bronze") FROM "table_79722" WHERE "Rank" > '1' AND "Total" > '3' | 0.074219 |
CREATE TABLE table_name_12 (years_for_jazz VARCHAR2, position VARCHAR2)
| What are the years on the Jazz for the player who is a combo forward? | SELECT years_for_jazz FROM table_name_12 WHERE position = "combo forward" | SELECT "years_for_jazz" FROM "table_name_12" WHERE "combo forward" = "position" | 0.077148 |
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 products with a price between 60 and 120, draw a bar chart about the distribution of name and manufacturer , display by the X from low to high. | SELECT Name, Manufacturer FROM Products WHERE Price BETWEEN 60 AND 120 ORDER BY Name | SELECT "Name", "Manufacturer" FROM "Products" WHERE "Price" <= 120 AND "Price" >= 60 ORDER BY "Name" | 0.097656 |
CREATE TABLE table_51326 ("CERCLIS ID" CLOB, "Name" CLOB, "Municipality" CLOB, "Proposed" CLOB, "Listed" CLOB, "Construction completed" CLOB, "Partially deleted" CLOB, "Deleted" CLOB)
| What is the name of the site with a CERCLIS ID of prd980512362? | SELECT "Name" FROM table_51326 WHERE "CERCLIS ID" = 'prd980512362' | SELECT "Name" FROM "table_51326" WHERE "CERCLIS ID" = 'prd980512362' | 0.066406 |
CREATE TABLE table_62616 ("Opposing Teams" CLOB, "Against" FLOAT, "Date" CLOB, "Venue" CLOB, "Status" CLOB)
| What is Venue, when Against is greater than 9, and when Date is '03/02/1996'? | SELECT "Venue" FROM table_62616 WHERE "Against" > '9' AND "Date" = '03/02/1996' | SELECT "Venue" FROM "table_62616" WHERE "Against" > '9' AND "Date" = '03/02/1996' | 0.079102 |
CREATE TABLE table_62591 ("Tie no" CLOB, "Home team" CLOB, "Score" CLOB, "Away team" CLOB, "Date" CLOB)
| What is the Tie no for Away Team Ipswich Town? | SELECT "Tie no" FROM table_62591 WHERE "Away team" = 'ipswich town' | SELECT "Tie no" FROM "table_62591" WHERE "Away team" = 'ipswich town' | 0.067383 |
CREATE TABLE table_name_71 (serial_no VARCHAR2, engine_no VARCHAR2, colour VARCHAR2, pilot_car_no VARCHAR2)
| What is the serial number of the pilot car that is black, has a pilot car number larger than 2, and an engine number of 1008? | SELECT serial_no FROM table_name_71 WHERE colour = "black" AND pilot_car_no > 2 AND engine_no = 1008 | SELECT "serial_no" FROM "table_name_71" WHERE "black" = "colour" AND "engine_no" = 1008 AND "pilot_car_no" > 2 | 0.107422 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| provide the number of patients whose primary disease is bladder cancer/sda and year of death is less than or equal to 2173? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "BLADDER CANCER/SDA" AND demographic.dod_year <= "2173.0" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2173.0" >= "demographic"."dod_year" AND "BLADDER CANCER/SDA" = "demographic"."diagnosis" | 0.160156 |
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskResultTypes (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 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 Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE 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 PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
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 ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId 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 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 Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
| Total Reputation Across All Users. | SELECT COUNT(*) AS "users", SUM(Reputation) AS SumRep, SUM(Reputation) / COUNT(*) AS "rep/user" FROM Users WHERE Reputation > 1000000 | SELECT COUNT(*) AS "users", SUM("Reputation") AS "SumRep", SUM("Reputation") / NULLIF(COUNT(*), 0) AS "rep/user" FROM "Users" WHERE "Reputation" > 1000000 | 0.150391 |
CREATE TABLE table_203_60 (id NUMBER, "outcome" CLOB, "no." NUMBER, "date" CLOB, "championship" CLOB, "surface" CLOB, "opponent in the final" CLOB, "score in the final" CLOB)
| who was the opponent in the last tournament ? | SELECT "opponent in the final" FROM table_203_60 ORDER BY "date" DESC LIMIT 1 | SELECT "opponent in the final" FROM "table_203_60" ORDER BY "date" DESC FETCH FIRST 1 ROWS ONLY | 0.092773 |
CREATE TABLE table_12657 ("Branding" CLOB, "Callsign" CLOB, "Frequency" CLOB, "Power ( kW ) " CLOB, "Location" CLOB)
| What is the frequency where the power is 25kw? | SELECT "Frequency" FROM table_12657 WHERE "Power (kW)" = '25kw' | SELECT "Frequency" FROM "table_12657" WHERE "Power (kW)" = '25kw' | 0.063477 |
CREATE TABLE table_9741 ("Game" CLOB, "Date" CLOB, "Home Team" CLOB, "Result" CLOB, "Road Team" CLOB)
| Who is the home team in game 2? | SELECT "Home Team" FROM table_9741 WHERE "Game" = 'game 2' | SELECT "Home Team" FROM "table_9741" WHERE "Game" = 'game 2' | 0.058594 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is maximum age of patients whose ethnicity is asian and days of hospital stay is 23? | SELECT MAX(demographic.age) FROM demographic WHERE demographic.ethnicity = "ASIAN" AND demographic.days_stay = "23" | SELECT MAX("demographic"."age") FROM "demographic" WHERE "23" = "demographic"."days_stay" AND "ASIAN" = "demographic"."ethnicity" | 0.125977 |
CREATE TABLE table_22149 ("Year to April" FLOAT, "Revenue ( US $million ) " CLOB, "EBIT ( US $m ) " CLOB, "Net profit ( US $m ) " CLOB, "Earnings per share ( \\u00a2 ) " CLOB)
| What is the year to april when the revenue is 434.8 million dollars? | SELECT "Year to April" FROM table_22149 WHERE "Revenue (US $million)" = '434.8' | SELECT "Year to April" FROM "table_22149" WHERE "Revenue (US $million)" = '434.8' | 0.079102 |
CREATE TABLE table_30294 ("Vessel" CLOB, "Built" FLOAT, "Max Speed" CLOB, "Length" CLOB, "Breadth" CLOB, "Flag" CLOB, "Propulsion" CLOB)
| How many breadth entries are there when the vessel is marianarray? | SELECT COUNT("Breadth") FROM table_30294 WHERE "Vessel" = 'Marianarray' | SELECT COUNT("Breadth") FROM "table_30294" WHERE "Vessel" = 'Marianarray' | 0.071289 |
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
| Draw a bar chart about the distribution of All_Road and School_ID , order by the Y-axis from low to high please. | SELECT All_Road, School_ID FROM basketball_match ORDER BY School_ID | SELECT "All_Road", "School_ID" FROM "basketball_match" ORDER BY "School_ID" | 0.073242 |
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
| For those employees who was hired before 2002-06-21, draw a bar chart about the distribution of job_id and the sum of department_id , and group by attribute job_id. | SELECT JOB_ID, SUM(DEPARTMENT_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' GROUP BY JOB_ID | SELECT "JOB_ID", SUM("DEPARTMENT_ID") FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' GROUP BY "JOB_ID" | 0.102539 |
CREATE TABLE table_name_37 (purse___us$__ VARCHAR2, track VARCHAR2)
| What is the Purse in Sunland Park Track? | SELECT purse___us$__ FROM table_name_37 WHERE track = "sunland park" | SELECT "purse___us$__" FROM "table_name_37" WHERE "sunland park" = "track" | 0.072266 |
CREATE TABLE table_35320 ("Season" FLOAT, "Overall" FLOAT, "Slalom" CLOB, "Giant Slalom" FLOAT, "Super G" CLOB, "Downhill" CLOB, "Combined" CLOB)
| What is the value for Slalom in seasons later than 1994 and overall value greater than 22? | SELECT "Slalom" FROM table_35320 WHERE "Season" > '1994' AND "Overall" > '22' | SELECT "Slalom" FROM "table_35320" WHERE "Overall" > '22' AND "Season" > '1994' | 0.077148 |
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
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 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 PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE 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 ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount 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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
| Posts with the most number of comments. | SELECT Id AS "post_link", CommentCount FROM Posts ORDER BY CommentCount DESC LIMIT 50 | SELECT "Id" AS "post_link", "CommentCount" FROM "Posts" ORDER BY "CommentCount" DESC FETCH FIRST 50 ROWS ONLY | 0.106445 |
CREATE TABLE table_11091 ("Tie no" CLOB, "Home team" CLOB, "Score" CLOB, "Away team" CLOB, "Attendance" CLOB)
| How many people attended the game with a Tie no of 30? | SELECT "Attendance" FROM table_11091 WHERE "Tie no" = '30' | SELECT "Attendance" FROM "table_11091" WHERE "Tie no" = '30' | 0.058594 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| give me the number of patients whose age is less than 50 and diagnoses icd9 code is 32723? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "50" AND diagnoses.icd9_code = "32723" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "32723" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "50" > "demographic"."age" | 0.202148 |
CREATE TABLE table_48652 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB, "Money ( $ ) " FLOAT)
| What score did Jack Nicklaus have when he placed t6? | SELECT "Score" FROM table_48652 WHERE "Place" = 't6' AND "Player" = 'jack nicklaus' | SELECT "Score" FROM "table_48652" WHERE "Place" = 't6' AND "Player" = 'jack nicklaus' | 0.083008 |
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)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many patients have private insurance and lab tested for bilirubin, indirect? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.insurance = "Private" AND lab.label = "Bilirubin, Indirect" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Bilirubin, Indirect" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "Private" = "demographic"."insurance" | 0.205078 |
CREATE TABLE table_name_46 (decile NUMBER, roll VARCHAR2, area VARCHAR2)
| What is the highest decile value with a roll greater than 301 in Hauraki? | SELECT MAX(decile) FROM table_name_46 WHERE roll > 301 AND area = "hauraki" | SELECT MAX("decile") FROM "table_name_46" WHERE "area" = "hauraki" AND "roll" > 301 | 0.081055 |
CREATE TABLE employees (hire_date NUMBER)
| display those employees who joined after 7th September, 1987. | SELECT * FROM employees WHERE hire_date > '1987-09-07' | SELECT * FROM "employees" WHERE "hire_date" > '1987-09-07' | 0.056641 |
CREATE TABLE table_44833 ("Game" CLOB, "Date" CLOB, "Team" CLOB, "Score" CLOB, "Location Attendance" CLOB, "Series" CLOB)
| What is the Date of the game with a Score of L 115 118 (OT)? | SELECT "Date" FROM table_44833 WHERE "Score" = 'l 115–118 (ot)' | SELECT "Date" FROM "table_44833" WHERE "Score" = 'l 115–118 (ot)' | 0.063477 |
Subsets and Splits