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CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is the maximum age of male patients of hipanic/latino-puertorican ethnicity? | SELECT MAX(demographic.age) FROM demographic WHERE demographic.gender = "M" AND demographic.ethnicity = "HISPANIC/LATINO - PUERTO RICAN" | SELECT MAX("demographic"."age") FROM "demographic" WHERE "HISPANIC/LATINO - PUERTO RICAN" = "demographic"."ethnicity" AND "M" = "demographic"."gender" | 0.146484 |
CREATE TABLE swimmer (ID NUMBER, name CLOB, Nationality CLOB, meter_100 FLOAT, meter_200 CLOB, meter_300 CLOB, meter_400 CLOB, meter_500 CLOB, meter_600 CLOB, meter_700 CLOB, Time CLOB)
CREATE TABLE stadium (ID NUMBER, name CLOB, Capacity NUMBER, City CLOB, Country CLOB, Opening_year NUMBER)
CREATE TABLE record (ID NUMBER, Result CLOB, Swimmer_ID NUMBER, Event_ID NUMBER)
CREATE TABLE event (ID NUMBER, Name CLOB, Stadium_ID NUMBER, Year CLOB)
| Return a bar chart about the distribution of meter_700 and ID , and could you display x axis from high to low order? | SELECT meter_700, ID FROM swimmer ORDER BY meter_700 DESC | SELECT "meter_700", "ID" FROM "swimmer" ORDER BY "meter_700" DESC | 0.063477 |
CREATE TABLE table_32879 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What day did the VFL pay MCG? | SELECT "Date" FROM table_32879 WHERE "Venue" = 'mcg' | SELECT "Date" FROM "table_32879" WHERE "Venue" = 'mcg' | 0.052734 |
CREATE TABLE table_name_50 (crowd NUMBER, venue VARCHAR2)
| what is the lowest crowd at kardinia park | SELECT MIN(crowd) FROM table_name_50 WHERE venue = "kardinia park" | SELECT MIN("crowd") FROM "table_name_50" WHERE "kardinia park" = "venue" | 0.070313 |
CREATE TABLE table_62516 ("7:30 am" CLOB, "8:00 am" CLOB, "9:00 am" CLOB, "11:00 am" CLOB, "noon" CLOB, "12:30 pm" CLOB, "1:00 pm" CLOB, "1:30 pm" CLOB, "2:00 pm" CLOB, "3:00 pm" CLOB, "3:30 pm" CLOB, "4:00 pm" CLOB, "5:00 pm" CLOB, "6:30 pm" CLOB)
| What is on at 8am if The Young and the Restless is on at 12:30? | SELECT "8:00 am" FROM table_62516 WHERE "12:30 pm" = 'the young and the restless' | SELECT "8:00 am" FROM "table_62516" WHERE "12:30 pm" = 'the young and the restless' | 0.081055 |
CREATE TABLE Accounts (account_id NUMBER, customer_id NUMBER, account_name VARCHAR2, other_account_details VARCHAR2)
CREATE TABLE Customers_Cards (card_id NUMBER, customer_id NUMBER, card_type_code VARCHAR2, card_number VARCHAR2, date_valid_from DATETIME, date_valid_to DATETIME, other_card_details VARCHAR2)
CREATE TABLE Financial_Transactions (transaction_id NUMBER, previous_transaction_id NUMBER, account_id NUMBER, card_id NUMBER, transaction_type VARCHAR2, transaction_date DATETIME, transaction_amount DOUBLE PRECISION, transaction_comment VARCHAR2, other_transaction_details VARCHAR2)
CREATE TABLE Customers (customer_id NUMBER, customer_first_name VARCHAR2, customer_last_name VARCHAR2, customer_address VARCHAR2, customer_phone VARCHAR2, customer_email VARCHAR2, other_customer_details VARCHAR2)
| Show the number of customers for different customer last name in a bar chart. | SELECT customer_last_name, COUNT(customer_last_name) FROM Customers GROUP BY customer_last_name | SELECT "customer_last_name", COUNT("customer_last_name") FROM "Customers" GROUP BY "customer_last_name" | 0.100586 |
CREATE TABLE table_name_20 (partner VARCHAR2, opponents_in_the_final VARCHAR2)
| Which Partner has Opponents in the final of john bromwich frank sedgman? | SELECT partner FROM table_name_20 WHERE opponents_in_the_final = "john bromwich frank sedgman" | SELECT "partner" FROM "table_name_20" WHERE "john bromwich frank sedgman" = "opponents_in_the_final" | 0.097656 |
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 patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE 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 diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
| how many hours have gone since the first time patient 022-187132 was prescribed furosemide (lasix) injection 40 mg during this hospital encounter? | SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', medication.drugstarttime)) FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '022-187132') AND patient.hospitaldischargetime IS NULL) AND medication.drugname = 'furosemide (lasix) injection 40 mg' ORDER BY medication.drugstarttime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '022-187132' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE "patient"."hospitaldischargetime" IS NULL AND NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "medication"."drugstarttime")) FROM "medication" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "medication"."patientunitstayid" WHERE "medication"."drugname" = 'furosemide (lasix) injection 40 mg' AND NOT "_u_1"."" IS NULL ORDER BY "medication"."drugstarttime" FETCH FIRST 1 ROWS ONLY | 0.722656 |
CREATE TABLE table_train_204 ("id" NUMBER, "systolic_blood_pressure_sbp" NUMBER, "plasma_glucose_concentration" NUMBER, "fasting_plasma_glucose_fpg" FLOAT, "increase_risk_of_intervention" BOOLEAN, "diastolic_blood_pressure_dbp" NUMBER, "life_span" BOOLEAN, "body_mass_index_bmi" FLOAT, "NOUSE" FLOAT)
| 2 _ h plasma glucose > 200 mg / dl based on 75 _ g ogtt | SELECT * FROM table_train_204 WHERE plasma_glucose_concentration > 200 | SELECT * FROM "table_train_204" WHERE "plasma_glucose_concentration" > 200 | 0.072266 |
CREATE TABLE table_19266557_1 (us_viewers__millions_ VARCHAR2, _number VARCHAR2)
| How many millions of viewers were there for number 6? | SELECT us_viewers__millions_ FROM table_19266557_1 WHERE _number = 6 | SELECT "us_viewers__millions_" FROM "table_19266557_1" WHERE "_number" = 6 | 0.072266 |
CREATE TABLE table_63906 ("Title" CLOB, "Series" CLOB, "Director" CLOB, "Production Num." FLOAT, "Release date" CLOB)
| Who's the director of Buddy of the Apes? | SELECT "Director" FROM table_63906 WHERE "Title" = 'buddy of the apes' | SELECT "Director" FROM "table_63906" WHERE "Title" = 'buddy of the apes' | 0.070313 |
CREATE TABLE table_name_74 (overall VARCHAR2, opponent VARCHAR2, plyff VARCHAR2, home VARCHAR2)
| Which team has an overall playoff of (0-0), a home record of (0-1) and played the Green Bay Blizzard team? | SELECT overall FROM table_name_74 WHERE plyff = "(0-0)" AND home = "(0-1)" AND opponent = "green bay blizzard" | SELECT "overall" FROM "table_name_74" WHERE "(0-0)" = "plyff" AND "(0-1)" = "home" AND "green bay blizzard" = "opponent" | 0.117188 |
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE 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_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
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 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 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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime 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)
| how many patients underwent immobiliz/wound attn nec during the same hospital encounter after they had been diagnosed with cardiogenic shock, until 2 years ago? | SELECT COUNT(DISTINCT t1.subject_id) 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 = 'cardiogenic shock') AND DATETIME(diagnoses_icd.charttime) <= DATETIME(CURRENT_TIME(), '-2 year')) AS t1 JOIN (SELECT admissions.subject_id, procedures_icd.charttime, admissions.hadm_id FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'immobiliz/wound attn nec') AND DATETIME(procedures_icd.charttime) <= DATETIME(CURRENT_TIME(), '-2 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND t1.hadm_id = t2.hadm_id | WITH "t2" AS (SELECT "admissions"."subject_id", "procedures_icd"."charttime", "admissions"."hadm_id" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'immobiliz/wound attn nec' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" WHERE DATETIME("procedures_icd"."charttime") <= DATETIME(CURRENT_TIME(), '-2 year')) SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'cardiogenic shock' 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"."charttime" WHERE DATETIME("diagnoses_icd"."charttime") <= DATETIME(CURRENT_TIME(), '-2 year') | 0.94043 |
CREATE TABLE table_11803648_20 (position VARCHAR2, player VARCHAR2)
| What position is the player Jordan Fransoo in? | SELECT position FROM table_11803648_20 WHERE player = "Jordan Fransoo" | SELECT "position" FROM "table_11803648_20" WHERE "Jordan Fransoo" = "player" | 0.074219 |
CREATE TABLE table_62939 ("Opposing Team" CLOB, "Against" FLOAT, "Date" CLOB, "Venue" CLOB, "Round" CLOB)
| What is the total against on 08/12/1992? | SELECT SUM("Against") FROM table_62939 WHERE "Date" = '08/12/1992' | SELECT SUM("Against") FROM "table_62939" WHERE "Date" = '08/12/1992' | 0.066406 |
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
| Bar chart x axis name y axis the number of name | SELECT Name, COUNT(Name) FROM Products GROUP BY Name | SELECT "Name", COUNT("Name") FROM "Products" GROUP BY "Name" | 0.058594 |
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)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE 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)
| For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about commission_pct over the email , rank in desc by the bars. | SELECT EMAIL, COMMISSION_PCT FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY EMAIL DESC | SELECT "EMAIL", "COMMISSION_PCT" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "EMAIL" DESC | 0.189453 |
CREATE TABLE table_name_99 (match NUMBER, lost VARCHAR2, team VARCHAR2)
| What is the lowest match that has a lost greater than 3, and kolejarz rawicz as the team? | SELECT MIN(match) FROM table_name_99 WHERE lost > 3 AND team = "kolejarz rawicz" | SELECT MIN("match") FROM "table_name_99" WHERE "kolejarz rawicz" = "team" AND "lost" > 3 | 0.085938 |
CREATE TABLE table_name_64 (laps NUMBER, driver VARCHAR2)
| What's the average of the amount of laps for the driver patrick tambay? | SELECT AVG(laps) FROM table_name_64 WHERE driver = "patrick tambay" | SELECT AVG("laps") FROM "table_name_64" WHERE "driver" = "patrick tambay" | 0.071289 |
CREATE TABLE Addresses (address_id NUMBER, line_1_number_building VARCHAR2, city VARCHAR2, zip_postcode VARCHAR2, state_province_county VARCHAR2, country VARCHAR2)
CREATE TABLE Lessons (lesson_id NUMBER, customer_id NUMBER, lesson_status_code VARCHAR2, staff_id NUMBER, vehicle_id NUMBER, lesson_date DATETIME, lesson_time VARCHAR2, price DOUBLE PRECISION)
CREATE TABLE Customers (customer_id NUMBER, customer_address_id NUMBER, customer_status_code VARCHAR2, date_became_customer DATETIME, date_of_birth DATETIME, first_name VARCHAR2, last_name VARCHAR2, amount_outstanding DOUBLE PRECISION, email_address VARCHAR2, phone_number VARCHAR2, cell_mobile_phone_number VARCHAR2)
CREATE TABLE Customer_Payments (customer_id NUMBER, datetime_payment DATETIME, payment_method_code VARCHAR2, amount_payment DOUBLE PRECISION)
CREATE TABLE Staff (staff_id NUMBER, staff_address_id NUMBER, nickname VARCHAR2, first_name VARCHAR2, middle_name VARCHAR2, last_name VARCHAR2, date_of_birth DATETIME, date_joined_staff DATETIME, date_left_staff DATETIME)
CREATE TABLE Vehicles (vehicle_id NUMBER, vehicle_details VARCHAR2)
| Bar chart x axis customer status code y axis the total number | SELECT customer_status_code, COUNT(*) FROM Customers GROUP BY customer_status_code | SELECT "customer_status_code", COUNT(*) FROM "Customers" GROUP BY "customer_status_code" | 0.085938 |
CREATE TABLE Acceptance (Submission_ID NUMBER, Workshop_ID NUMBER, Result CLOB)
CREATE TABLE workshop (Workshop_ID NUMBER, Date CLOB, Venue CLOB, Name CLOB)
CREATE TABLE submission (Submission_ID NUMBER, Scores FLOAT, Author CLOB, College CLOB)
| A bar chart shows the venue for each workshop. | SELECT Venue, COUNT(Venue) FROM workshop GROUP BY Venue | SELECT "Venue", COUNT("Venue") FROM "workshop" GROUP BY "Venue" | 0.061523 |
CREATE TABLE table_name_1 (winning_team VARCHAR2, round VARCHAR2)
| Who was the winning team for round 3? | SELECT winning_team FROM table_name_1 WHERE round = "3" | SELECT "winning_team" FROM "table_name_1" WHERE "3" = "round" | 0.05957 |
CREATE TABLE aircraft (aid NUMBER, name VARCHAR2, distance NUMBER)
CREATE TABLE certificate (eid NUMBER, aid NUMBER)
CREATE TABLE flight (flno NUMBER, origin VARCHAR2, destination VARCHAR2, distance NUMBER, departure_date DATE, arrival_date DATE, price NUMBER, aid NUMBER)
CREATE TABLE employee (eid NUMBER, name VARCHAR2, salary NUMBER)
| What are the names and distances for all airplanes. Visualize by bar chart. | SELECT name, distance FROM aircraft | SELECT "name", "distance" FROM "aircraft" | 0.040039 |
CREATE TABLE table_name_22 (year_won VARCHAR2, country VARCHAR2, to_par VARCHAR2)
| What is the year won by Australia with a to par bigger than 16? | SELECT COUNT(year_won) FROM table_name_22 WHERE country = "australia" AND to_par > 16 | SELECT COUNT("year_won") FROM "table_name_22" WHERE "australia" = "country" AND "to_par" > 16 | 0.09082 |
CREATE TABLE table_22692 ("Rank" FLOAT, "Peak" CLOB, "Country" CLOB, "Island" CLOB, "Elevation ( m ) " FLOAT, "Prominence ( m ) " FLOAT, "Col ( m ) " FLOAT)
| When mount wondiwoi is the peak what is the island? | SELECT "Island" FROM table_22692 WHERE "Peak" = 'Mount Wondiwoi' | SELECT "Island" FROM "table_22692" WHERE "Peak" = 'Mount Wondiwoi' | 0.064453 |
CREATE TABLE course (course_id VARCHAR2, title VARCHAR2, dept_name VARCHAR2, credits NUMBER)
CREATE TABLE section (course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER, building VARCHAR2, room_number VARCHAR2, time_slot_id VARCHAR2)
CREATE TABLE time_slot (time_slot_id VARCHAR2, day VARCHAR2, start_hr NUMBER, start_min NUMBER, end_hr NUMBER, end_min NUMBER)
CREATE TABLE takes (ID VARCHAR2, course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER, grade VARCHAR2)
CREATE TABLE classroom (building VARCHAR2, room_number VARCHAR2, capacity NUMBER)
CREATE TABLE student (ID VARCHAR2, name VARCHAR2, dept_name VARCHAR2, tot_cred NUMBER)
CREATE TABLE instructor (ID VARCHAR2, name VARCHAR2, dept_name VARCHAR2, salary NUMBER)
CREATE TABLE teaches (ID VARCHAR2, course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER)
CREATE TABLE prereq (course_id VARCHAR2, prereq_id VARCHAR2)
CREATE TABLE advisor (s_ID VARCHAR2, i_ID VARCHAR2)
CREATE TABLE department (dept_name VARCHAR2, building VARCHAR2, budget NUMBER)
| What is the lowest salary in departments with average salary greater than the overall average Plot them as bar chart, and could you rank by the bar in desc? | SELECT dept_name, MIN(salary) FROM instructor GROUP BY dept_name ORDER BY dept_name DESC | SELECT "dept_name", MIN("salary") FROM "instructor" GROUP BY "dept_name" ORDER BY "dept_name" DESC | 0.095703 |
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 Clients (Client_ID NUMBER, Address_ID NUMBER, Customer_Email_Address VARCHAR2, Customer_Name VARCHAR2, Customer_Phone VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Customer_Orders (Order_ID NUMBER, Customer_ID NUMBER, Store_ID NUMBER, Order_Date DATETIME, Planned_Delivery_Date DATETIME, Actual_Delivery_Date DATETIME, Other_Order_Details VARCHAR2)
CREATE TABLE 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 Order_Items (Order_Item_ID NUMBER, Order_ID NUMBER, Product_ID NUMBER, Order_Quantity VARCHAR2, Other_Item_Details VARCHAR2)
CREATE TABLE Products (Product_ID VARCHAR2, Product_Name VARCHAR2, Product_Price NUMBER, Product_Description VARCHAR2, Other_Product_Service_Details VARCHAR2)
CREATE TABLE Performers (Performer_ID NUMBER, Address_ID NUMBER, Customer_Name VARCHAR2, Customer_Phone VARCHAR2, Customer_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Customers (Customer_ID VARCHAR2, Address_ID NUMBER, Customer_Name VARCHAR2, Customer_Phone VARCHAR2, Customer_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Performers_in_Bookings (Order_ID NUMBER, Performer_ID NUMBER)
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 (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 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 Addresses (Address_ID VARCHAR2, Line_1 VARCHAR2, Line_2 VARCHAR2, City_Town VARCHAR2, State_County VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Marketing_Regions (Marketing_Region_Code CHAR, Marketing_Region_Name VARCHAR2, Marketing_Region_Descriptrion VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Ref_Payment_Methods (payment_method_code CHAR, payment_method_description VARCHAR2)
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 VARCHAR2)
CREATE TABLE Ref_Service_Types (Service_Type_Code CHAR, Parent_Service_Type_Code CHAR, Service_Type_Description VARCHAR2)
| Show all cities along with the number of drama workshop groups in each city with a bar chart, and rank by the X in ascending. | SELECT City_Town, COUNT(*) FROM Addresses AS T1 JOIN Drama_Workshop_Groups AS T2 ON T1.Address_ID = T2.Address_ID GROUP BY T1.City_Town ORDER BY City_Town | SELECT "City_Town", COUNT(*) FROM "Addresses" "T1" JOIN "Drama_Workshop_Groups" "T2" ON "T1"."Address_ID" = "T2"."Address_ID" GROUP BY "T1"."City_Town" ORDER BY "City_Town" | 0.167969 |
CREATE TABLE table_name_36 (date VARCHAR2, time VARCHAR2)
| On what date was the time of 16:24.12 achieved? | SELECT date FROM table_name_36 WHERE time = "16:24.12" | SELECT "date" FROM "table_name_36" WHERE "16:24.12" = "time" | 0.058594 |
CREATE TABLE table_159614_2 (opinion_research_centre__opc_ VARCHAR2, national_opinion_polls__nop_ VARCHAR2)
| On all other parties the National option polls are at 1.3% where as the opinion research pole is at what percentage? | SELECT opinion_research_centre__opc_ FROM table_159614_2 WHERE national_opinion_polls__nop_ = "1.3%" | SELECT "opinion_research_centre__opc_" FROM "table_159614_2" WHERE "1.3%" = "national_opinion_polls__nop_" | 0.103516 |
CREATE TABLE table_15346009_1 (date VARCHAR2, tournament VARCHAR2)
| What day was Jeld-Wen Tradition held? | SELECT date FROM table_15346009_1 WHERE tournament = "JELD-WEN Tradition" | SELECT "date" FROM "table_15346009_1" WHERE "JELD-WEN Tradition" = "tournament" | 0.077148 |
CREATE TABLE table_name_71 (week_of VARCHAR2, winner VARCHAR2)
| In which week is the winner listed as Jana Novotn Arantxa S nchez Vicario 5 7, 7 5, 6 4? | SELECT week_of FROM table_name_71 WHERE winner = "jana novotná arantxa sánchez vicario 5–7, 7–5, 6–4" | SELECT "week_of" FROM "table_name_71" WHERE "jana novotná arantxa sánchez vicario 5–7, 7–5, 6–4" = "winner" | 0.104492 |
CREATE TABLE table_name_22 (meet VARCHAR2, event VARCHAR2)
| Which championship was the 100m backstroke performed? | SELECT meet FROM table_name_22 WHERE event = "100m backstroke" | SELECT "meet" FROM "table_name_22" WHERE "100m backstroke" = "event" | 0.066406 |
CREATE TABLE Addresses (Address_ID NUMBER, address_details VARCHAR2)
CREATE TABLE Finances (Finance_ID NUMBER, Other_Details VARCHAR2)
CREATE TABLE Parties (Party_ID NUMBER, Party_Details VARCHAR2)
CREATE TABLE Channels (Channel_ID NUMBER, Other_Details VARCHAR2)
CREATE TABLE Agreements (Document_ID NUMBER, Event_ID NUMBER)
CREATE TABLE Events (Event_ID NUMBER, Address_ID NUMBER, Channel_ID NUMBER, Event_Type_Code CHAR, Finance_ID NUMBER, Location_ID NUMBER)
CREATE TABLE Parties_in_Events (Party_ID NUMBER, Event_ID NUMBER, Role_Code CHAR)
CREATE TABLE Assets_in_Events (Asset_ID NUMBER, Event_ID NUMBER)
CREATE TABLE Locations (Location_ID NUMBER, Other_Details VARCHAR2)
CREATE TABLE Products (Product_ID NUMBER, Product_Type_Code CHAR, Product_Name VARCHAR2, Product_Price NUMBER)
CREATE TABLE Products_in_Events (Product_in_Event_ID NUMBER, Event_ID NUMBER, Product_ID NUMBER)
CREATE TABLE Assets (Asset_ID NUMBER, Other_Details VARCHAR2)
| Show different type codes of products and the number of products with each type code in a bar chart, and I want to order Y in asc order. | SELECT Product_Type_Code, COUNT(*) FROM Products GROUP BY Product_Type_Code ORDER BY COUNT(*) | SELECT "Product_Type_Code", COUNT(*) FROM "Products" GROUP BY "Product_Type_Code" ORDER BY COUNT(*) | 0.09668 |
CREATE TABLE table_name_18 (place VARCHAR2, player VARCHAR2)
| What place in Lon Hinkle in? | SELECT place FROM table_name_18 WHERE player = "lon hinkle" | SELECT "place" FROM "table_name_18" WHERE "lon hinkle" = "player" | 0.063477 |
CREATE TABLE swimmer (ID NUMBER, name CLOB, Nationality CLOB, meter_100 FLOAT, meter_200 CLOB, meter_300 CLOB, meter_400 CLOB, meter_500 CLOB, meter_600 CLOB, meter_700 CLOB, Time CLOB)
CREATE TABLE stadium (ID NUMBER, name CLOB, Capacity NUMBER, City CLOB, Country CLOB, Opening_year NUMBER)
CREATE TABLE event (ID NUMBER, Name CLOB, Stadium_ID NUMBER, Year CLOB)
CREATE TABLE record (ID NUMBER, Result CLOB, Swimmer_ID NUMBER, Event_ID NUMBER)
| Return a bar chart about the distribution of meter_500 and ID , and show in ascending by the x axis please. | SELECT meter_500, ID FROM swimmer ORDER BY meter_500 | SELECT "meter_500", "ID" FROM "swimmer" ORDER BY "meter_500" | 0.058594 |
CREATE TABLE table_75693 ("Rank" CLOB, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the average silver for golds over 2, ranks of 1, and bronzes over 0? | SELECT AVG("Silver") FROM table_75693 WHERE "Gold" > '2' AND "Rank" = '1' AND "Bronze" > '0' | SELECT AVG("Silver") FROM "table_75693" WHERE "Bronze" > '0' AND "Gold" > '2' AND "Rank" = '1' | 0.091797 |
CREATE TABLE table_37440 ("School Year" CLOB, "Class A" CLOB, "Class AA" CLOB, "Class AAA" CLOB, "Class AAAA" CLOB, "Class AAAAA" CLOB)
| Name the class AAAA with class A of lindsay and class AAAAA of galena park north shore | SELECT "Class AAAA" FROM table_37440 WHERE "Class A" = 'lindsay' AND "Class AAAAA" = 'galena park north shore' | SELECT "Class AAAA" FROM "table_37440" WHERE "Class A" = 'lindsay' AND "Class AAAAA" = 'galena park north shore' | 0.109375 |
CREATE TABLE table_30098 ("Series #" FLOAT, "Season #" FLOAT, "Title" CLOB, "Written by" CLOB, "Original air date" CLOB, "U.S. Viewers ( millions ) " CLOB)
| the episode 'a change in heart/pants' had a maximum of what number in the series? | SELECT MAX("Series #") FROM table_30098 WHERE "Title" = 'A Change in Heart/Pants' | SELECT MAX("Series #") FROM "table_30098" WHERE "Title" = 'A Change in Heart/Pants' | 0.081055 |
CREATE TABLE table_56658 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What away team played in Lake Oval? | SELECT "Away team" FROM table_56658 WHERE "Venue" = 'lake oval' | SELECT "Away team" FROM "table_56658" WHERE "Venue" = 'lake oval' | 0.063477 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE 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)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many patients whose religion is catholic and item id is 50912? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.religion = "CATHOLIC" AND lab.itemid = "50912" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "50912" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "CATHOLIC" = "demographic"."religion" | 0.192383 |
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime 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 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 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 d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE 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 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 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_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| is hematocrit of patient 43959 second measured on the first hospital visit greater than first measured on the first hospital visit? | SELECT (SELECT labevents.valuenum FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 43959 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime LIMIT 1) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'hematocrit') ORDER BY labevents.charttime LIMIT 1 OFFSET 1) > (SELECT labevents.valuenum FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 43959 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime LIMIT 1) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'hematocrit') ORDER BY labevents.charttime LIMIT 1) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 43959 AND NOT "admissions"."dischtime" IS NULL GROUP BY "hadm_id" ORDER BY "admissions"."admittime" FETCH FIRST 1 ROWS ONLY), "_u_1" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'hematocrit' GROUP BY "itemid") SELECT (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 ORDER BY "labevents"."charttime" OFFSET 1 ROWS FETCH FIRST 1 ROWS ONLY) > (SELECT "labevents"."valuenum" FROM "labevents" LEFT JOIN "_u_0" "_u_3" ON "_u_3"."" = "labevents"."hadm_id" LEFT JOIN "_u_1" "_u_4" ON "_u_4"."" = "labevents"."itemid" WHERE NOT "_u_3"."" IS NULL AND NOT "_u_4"."" IS NULL ORDER BY "labevents"."charttime" FETCH FIRST 1 ROWS ONLY) | 0.905273 |
CREATE TABLE table_name_63 (runners_up VARCHAR2, winner VARCHAR2)
| Who is listed as the Runners-up that also has a Winner of Hajduk Split (3)? | SELECT runners_up FROM table_name_63 WHERE winner = "hajduk split (3)" | SELECT "runners_up" FROM "table_name_63" WHERE "hajduk split (3)" = "winner" | 0.074219 |
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)
| how many patients are with private insurance and born before 1887? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.insurance = "Private" AND demographic.dob_year < "1887" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "1887" > "demographic"."dob_year" AND "Private" = "demographic"."insurance" | 0.146484 |
CREATE TABLE table_74371 ("Rank" FLOAT, "Rider" CLOB, "Mon 30 May" CLOB, "Tues 31 May" CLOB, "Wed 1 June" CLOB, "Thurs 2 June" CLOB, "Fri 3 June" CLOB)
| What is the Fri 3 June time for the rider whose Tues 31 May time was 19' 18.80 117.215mph? | SELECT "Fri 3 June" FROM table_74371 WHERE "Tues 31 May" = '19'' 18.80 117.215mph' | SELECT "Fri 3 June" FROM "table_74371" WHERE "Tues 31 May" = '19'' 18.80 117.215mph' | 0.082031 |
CREATE TABLE table_1949994_8 (episodes NUMBER)
| What was the minimum number of episodes in any of the series? | SELECT MIN(episodes) FROM table_1949994_8 | SELECT MIN("episodes") FROM "table_1949994_8" | 0.043945 |
CREATE TABLE table_22564 ("Position" FLOAT, "Team" CLOB, "Played" FLOAT, "Wins" FLOAT, "Draws P.K. Wins / P.K. Losses" CLOB, "Losses" FLOAT, "Scored" FLOAT, "Conceded" FLOAT, "Points" FLOAT)
| Name the wins for draws pk is 3/0 | SELECT "Wins" FROM table_22564 WHERE "Draws P.K. Wins / P.K. Losses" = '3/0' | SELECT "Wins" FROM "table_22564" WHERE "Draws P.K. Wins / P.K. Losses" = '3/0' | 0.076172 |
CREATE TABLE table_61592 ("Province , Community" CLOB, "Contestant" CLOB, "Height" CLOB, "Hometown" CLOB, "Geographical Regions" CLOB)
| What is the geographical region for hometown Imbert? | SELECT "Geographical Regions" FROM table_61592 WHERE "Hometown" = 'imbert' | SELECT "Geographical Regions" FROM "table_61592" WHERE "Hometown" = 'imbert' | 0.074219 |
CREATE TABLE table_21321804_3 (cfl_team VARCHAR2, college VARCHAR2)
| What team does the player who went to Nebraska play for? | SELECT cfl_team FROM table_21321804_3 WHERE college = "Nebraska" | SELECT "cfl_team" FROM "table_21321804_3" WHERE "Nebraska" = "college" | 0.068359 |
CREATE TABLE CMI_Cross_References (cmi_cross_ref_id VARCHAR2, source_system_code VARCHAR2)
CREATE TABLE Council_Tax (cmi_cross_ref_id VARCHAR2)
| What is the cmi cross reference id that is related to at least one council tax entry? List the cross reference id and source system code. | SELECT T1.cmi_cross_ref_id, T1.source_system_code FROM CMI_Cross_References AS T1 JOIN Council_Tax AS T2 ON T1.cmi_cross_ref_id = T2.cmi_cross_ref_id GROUP BY T1.cmi_cross_ref_id HAVING COUNT(*) >= 1 | SELECT "T1"."cmi_cross_ref_id", "T1"."source_system_code" FROM "CMI_Cross_References" "T1" JOIN "Council_Tax" "T2" ON "T1"."cmi_cross_ref_id" = "T2"."cmi_cross_ref_id" GROUP BY "T1"."cmi_cross_ref_id" HAVING COUNT(*) >= 1 | 0.21582 |
CREATE TABLE table_30600 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "U.S. viewers ( million ) " CLOB)
| What was the latest episode number that Meredith Averill wrote? | SELECT MAX("No. in series") FROM table_30600 WHERE "Written by" = 'Meredith Averill' | SELECT MAX("No. in series") FROM "table_30600" WHERE "Written by" = 'Meredith Averill' | 0.083984 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| how many black/african american patients had the diagnosis short title acute respiratory failure? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.ethnicity = "BLACK/AFRICAN AMERICAN" AND diagnoses.short_title = "Acute respiratry failure" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Acute respiratry failure" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "BLACK/AFRICAN AMERICAN" = "demographic"."ethnicity" | 0.248047 |
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
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 gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req 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 course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
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 requirement (requirement_id NUMBER, requirement VARCHAR2, college 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 instructor (instructor_id NUMBER, name VARCHAR2, uniqname 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 ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
| Can 500 -level classes be taken by me in the Spring or Summer term ? | SELECT DISTINCT COURSEalias0.department, COURSEalias0.name, COURSEalias0.number, SEMESTERalias0.semester FROM (SELECT course_id FROM student_record WHERE earn_credit = 'Y' AND student_id = 1) AS DERIVED_TABLEalias0, course AS COURSEalias0, course_offering AS COURSE_OFFERINGalias0, semester AS SEMESTERalias0 WHERE COURSEalias0.course_id = COURSE_OFFERINGalias0.course_id AND NOT COURSEalias0.course_id IN (DERIVED_TABLEalias0.course_id) AND NOT COURSEalias0.course_id IN (SELECT DISTINCT COURSE_PREREQUISITEalias0.course_id FROM course_prerequisite AS COURSE_PREREQUISITEalias0 WHERE NOT COURSE_PREREQUISITEalias0.pre_course_id IN (DERIVED_TABLEalias0.course_id)) AND COURSEalias0.department = 'EECS' AND COURSEalias0.number BETWEEN 500 AND 500 + 100 AND SEMESTERalias0.semester IN ('SP', 'SS', 'SU') AND SEMESTERalias0.semester_id = COURSE_OFFERINGalias0.semester AND SEMESTERalias0.year = 2016 | SELECT DISTINCT "COURSEalias0"."department", "COURSEalias0"."name", "COURSEalias0"."number", "SEMESTERalias0"."semester" FROM "student_record" JOIN "course" "COURSEalias0" ON "COURSEalias0"."department" = 'EECS' AND "COURSEalias0"."number" <= 600 AND "COURSEalias0"."number" >= 500 AND NOT "COURSEalias0"."course_id" IN ("course_id") AND NOT "COURSEalias0"."course_id" IN (SELECT DISTINCT "COURSE_PREREQUISITEalias0"."course_id" FROM "course_prerequisite" "COURSE_PREREQUISITEalias0" WHERE NOT "COURSE_PREREQUISITEalias0"."pre_course_id" IN ("course_id")) JOIN "course_offering" "COURSE_OFFERINGalias0" ON "COURSE_OFFERINGalias0"."course_id" = "COURSEalias0"."course_id" JOIN "semester" "SEMESTERalias0" ON "COURSE_OFFERINGalias0"."semester" = "SEMESTERalias0"."semester_id" AND "SEMESTERalias0"."semester" IN ('SP', 'SS', 'SU') AND "SEMESTERalias0"."year" = 2016 WHERE "earn_credit" = 'Y' AND "student_id" = 1 | 0.888672 |
CREATE TABLE vehicles (vehicle_id NUMBER, vehicle_details CLOB)
CREATE TABLE customers (customer_id NUMBER, customer_address_id NUMBER, customer_status_code CLOB, date_became_customer TIME, date_of_birth TIME, first_name CLOB, last_name CLOB, amount_outstanding NUMBER, email_address CLOB, phone_number CLOB, cell_mobile_phone_number CLOB)
CREATE TABLE lessons (lesson_id NUMBER, customer_id NUMBER, lesson_status_code CLOB, staff_id NUMBER, vehicle_id NUMBER, lesson_date TIME, lesson_time CLOB, price NUMBER)
CREATE TABLE customer_payments (customer_id NUMBER, datetime_payment TIME, payment_method_code CLOB, amount_payment NUMBER)
CREATE TABLE staff (staff_id NUMBER, staff_address_id NUMBER, nickname CLOB, first_name CLOB, middle_name CLOB, last_name CLOB, date_of_birth TIME, date_joined_staff TIME, date_left_staff TIME)
CREATE TABLE addresses (address_id NUMBER, line_1_number_building CLOB, city CLOB, zip_postcode CLOB, state_province_county CLOB, country CLOB)
| What is the status code, phone number, and email address of the customer whose last name is Kohler or whose first name is Marina? | SELECT customer_status_code, cell_mobile_phone_number, email_address FROM customers WHERE first_name = "Marina" OR last_name = "Kohler" | SELECT "customer_status_code", "cell_mobile_phone_number", "email_address" FROM "customers" WHERE "Kohler" = "last_name" OR "Marina" = "first_name" | 0.143555 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| how many patients survived and were diagnosed with obesity nos? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.expire_flag = "0" AND diagnoses.short_title = "Obesity NOS" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Obesity NOS" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "0" = "demographic"."expire_flag" | 0.216797 |
CREATE TABLE table_name_47 (macedonian_population_in_vojvodina VARCHAR2)
| What is the total 1961 number of the plandi te Macedonian population with a 1981 value greater than 1027? | SELECT COUNT(1961) FROM table_name_47 WHERE macedonian_population_in_vojvodina = "plandište" AND 1981 > 1027 | SELECT COUNT(1961) FROM "table_name_47" WHERE "macedonian_population_in_vojvodina" = "plandište" | 0.09375 |
CREATE TABLE table_69332 ("Outcome" CLOB, "Date" CLOB, "Surface" CLOB, "Partner" CLOB, "Opponents in the final" CLOB, "Score in the final" CLOB)
| Name the partner for surface of grass and opponents of j rgen melzer philipp petzschner | SELECT "Partner" FROM table_69332 WHERE "Surface" = 'grass' AND "Opponents in the final" = 'jürgen melzer philipp petzschner' | SELECT "Partner" FROM "table_69332" WHERE "Opponents in the final" = 'jürgen melzer philipp petzschner' AND "Surface" = 'grass' | 0.124023 |
CREATE TABLE table_60920 ("Ranking" CLOB, "Nationality" CLOB, "Name" CLOB, "Years" CLOB, "Goals" FLOAT)
| For the player that scored 27 goals, what years did he score them? | SELECT "Years" FROM table_60920 WHERE "Goals" = '27' | SELECT "Years" FROM "table_60920" WHERE "Goals" = '27' | 0.052734 |
CREATE TABLE table_22903773_2 (opp_points NUMBER, location VARCHAR2)
| How many points did the opponents score at the game in Knoxville? | SELECT MIN(opp_points) FROM table_22903773_2 WHERE location = "Knoxville" | SELECT MIN("opp_points") FROM "table_22903773_2" WHERE "Knoxville" = "location" | 0.077148 |
CREATE TABLE Ref_Characteristic_Types (characteristic_type_code VARCHAR2, characteristic_type_description VARCHAR2)
CREATE TABLE Products (product_id NUMBER, color_code VARCHAR2, product_category_code VARCHAR2, product_name VARCHAR2, typical_buying_price VARCHAR2, typical_selling_price VARCHAR2, product_description VARCHAR2, other_product_details VARCHAR2)
CREATE TABLE Product_Characteristics (product_id NUMBER, characteristic_id NUMBER, product_characteristic_value VARCHAR2)
CREATE TABLE Characteristics (characteristic_id NUMBER, characteristic_type_code VARCHAR2, characteristic_data_type VARCHAR2, characteristic_name VARCHAR2, other_characteristic_details VARCHAR2)
CREATE TABLE Ref_Colors (color_code VARCHAR2, color_description VARCHAR2)
CREATE TABLE Ref_Product_Categories (product_category_code VARCHAR2, product_category_description VARCHAR2, unit_of_measure VARCHAR2)
| A bar chart for what are the number of the descriptions of the categories that products with product descriptions that contain the letter t are in?, and rank y-axis in ascending order. | SELECT product_category_description, COUNT(product_category_description) FROM Ref_Product_Categories AS T1 JOIN Products AS T2 ON T1.product_category_code = T2.product_category_code WHERE T2.product_description LIKE '%t%' GROUP BY product_category_description ORDER BY COUNT(product_category_description) | SELECT "product_category_description", COUNT("product_category_description") FROM "Ref_Product_Categories" "T1" JOIN "Products" "T2" ON "T1"."product_category_code" = "T2"."product_category_code" AND "T2"."product_description" LIKE '%t%' GROUP BY "product_category_description" ORDER BY COUNT("product_category_description") | 0.316406 |
CREATE TABLE table_name_96 (bronze NUMBER, gold VARCHAR2, silver VARCHAR2)
| What is the average number of bronze of the nation with more than 1 gold and 1 silver medal? | SELECT AVG(bronze) FROM table_name_96 WHERE gold > 1 AND silver = 1 | SELECT AVG("bronze") FROM "table_name_96" WHERE "gold" > 1 AND "silver" = 1 | 0.073242 |
CREATE TABLE department (dept_name VARCHAR2, building VARCHAR2, budget NUMBER)
CREATE TABLE prereq (course_id VARCHAR2, prereq_id VARCHAR2)
CREATE TABLE time_slot (time_slot_id VARCHAR2, day VARCHAR2, start_hr NUMBER, start_min NUMBER, end_hr NUMBER, end_min NUMBER)
CREATE TABLE student (ID VARCHAR2, name VARCHAR2, dept_name VARCHAR2, tot_cred NUMBER)
CREATE TABLE course (course_id VARCHAR2, title VARCHAR2, dept_name VARCHAR2, credits NUMBER)
CREATE TABLE classroom (building VARCHAR2, room_number VARCHAR2, capacity NUMBER)
CREATE TABLE advisor (s_ID VARCHAR2, i_ID VARCHAR2)
CREATE TABLE section (course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER, building VARCHAR2, room_number VARCHAR2, time_slot_id VARCHAR2)
CREATE TABLE teaches (ID VARCHAR2, course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER)
CREATE TABLE takes (ID VARCHAR2, course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER, grade VARCHAR2)
CREATE TABLE instructor (ID VARCHAR2, name VARCHAR2, dept_name VARCHAR2, salary NUMBER)
| Find the average capacity among rooms in each building with a bar chart. | SELECT building, AVG(capacity) FROM classroom GROUP BY building | SELECT "building", AVG("capacity") FROM "classroom" GROUP BY "building" | 0.069336 |
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE 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 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 treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
| find out how many patients were discharged from the hospital until 4 years ago. | SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE NOT patient.hospitaldischargetime IS NULL AND DATETIME(patient.hospitaldischargetime) <= DATETIME(CURRENT_TIME(), '-4 year') | SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "patient" WHERE DATETIME("patient"."hospitaldischargetime") <= DATETIME(CURRENT_TIME(), '-4 year') AND NOT "patient"."hospitaldischargetime" IS NULL | 0.193359 |
CREATE TABLE table_name_70 (country VARCHAR2, score VARCHAR2)
| From what country is the player with a score of 68-71-76=215? | SELECT country FROM table_name_70 WHERE score = 68 - 71 - 76 = 215 | SELECT "country" FROM "table_name_70" WHERE "score" = FALSE | 0.057617 |
CREATE TABLE table_20887670_1 (affiliation VARCHAR2, mascot VARCHAR2)
| what is the affiliation of the hilltoppers mascot? | SELECT affiliation FROM table_20887670_1 WHERE mascot = "Hilltoppers" | SELECT "affiliation" FROM "table_20887670_1" WHERE "Hilltoppers" = "mascot" | 0.073242 |
CREATE TABLE table_name_28 (position NUMBER, played VARCHAR2, goals_against VARCHAR2, wins VARCHAR2)
| Which Position has Goals against smaller than 43, and Wins larger than 14, and Played larger than 38? | SELECT SUM(position) FROM table_name_28 WHERE goals_against < 43 AND wins > 14 AND played > 38 | SELECT SUM("position") FROM "table_name_28" WHERE "goals_against" < 43 AND "played" > 38 AND "wins" > 14 | 0.101563 |
CREATE TABLE table_name_3 (tally VARCHAR2, county VARCHAR2, rank VARCHAR2)
| Which Tally has a County of limerick, and a Rank larger than 1? | SELECT tally FROM table_name_3 WHERE county = "limerick" AND rank > 1 | SELECT "tally" FROM "table_name_3" WHERE "county" = "limerick" AND "rank" > 1 | 0.075195 |
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime 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 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 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 icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE 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 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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title 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)
| for the last time, how much potassium chloride was prescribed during this month to patient 15986? | SELECT prescriptions.dose_val_rx FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 15986) AND prescriptions.drug = 'potassium chloride' AND DATETIME(prescriptions.startdate, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') ORDER BY prescriptions.startdate DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 15986 GROUP BY "hadm_id") SELECT "prescriptions"."dose_val_rx" FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" = 'potassium chloride' AND DATETIME("prescriptions"."startdate", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND NOT "_u_0"."" IS NULL ORDER BY "prescriptions"."startdate" DESC FETCH FIRST 1 ROWS ONLY | 0.495117 |
CREATE TABLE table_name_28 (date VARCHAR2, serial VARCHAR2)
| Which date has serial of 11c? | SELECT date FROM table_name_28 WHERE serial = "11c" | SELECT "date" FROM "table_name_28" WHERE "11c" = "serial" | 0.055664 |
CREATE TABLE table_name_59 (opponent VARCHAR2, date VARCHAR2)
| On 10/20/1979*, who was the Opponent? | SELECT opponent FROM table_name_59 WHERE date = "10/20/1979*" | SELECT "opponent" FROM "table_name_59" WHERE "10/20/1979*" = "date" | 0.06543 |
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category 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 offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction 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 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 semester (semester_id NUMBER, semester VARCHAR2, year 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 comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text 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 gsi (course_offering_id NUMBER, student_id NUMBER)
| Of all the courses which one can I take in the Fall or Winter semester to satisfy my MDE requirement ? | SELECT DISTINCT COURSEalias0.department, COURSEalias0.name, COURSEalias0.number, SEMESTERalias0.semester FROM (SELECT course_id FROM student_record WHERE earn_credit = 'Y' AND student_id = 1) AS DERIVED_TABLEalias0, course AS COURSEalias0, course_offering AS COURSE_OFFERINGalias0, program_course AS PROGRAM_COURSEalias0, semester AS SEMESTERalias0 WHERE COURSEalias0.course_id = COURSE_OFFERINGalias0.course_id AND NOT COURSEalias0.course_id IN (DERIVED_TABLEalias0.course_id) AND NOT COURSEalias0.course_id IN (SELECT DISTINCT COURSE_PREREQUISITEalias0.course_id FROM course_prerequisite AS COURSE_PREREQUISITEalias0 WHERE NOT COURSE_PREREQUISITEalias0.pre_course_id IN (DERIVED_TABLEalias0.course_id)) AND COURSEalias0.department = 'department0' AND PROGRAM_COURSEalias0.category LIKE '%MDE%' AND PROGRAM_COURSEalias0.course_id = COURSE_OFFERINGalias0.course_id AND SEMESTERalias0.semester IN ('FA', 'WN') AND SEMESTERalias0.semester_id = COURSE_OFFERINGalias0.semester AND SEMESTERalias0.year = 2016 | SELECT DISTINCT "COURSEalias0"."department", "COURSEalias0"."name", "COURSEalias0"."number", "SEMESTERalias0"."semester" FROM "student_record" JOIN "course" "COURSEalias0" ON "COURSEalias0"."department" = 'department0' AND NOT "COURSEalias0"."course_id" IN ("course_id") AND NOT "COURSEalias0"."course_id" IN (SELECT DISTINCT "COURSE_PREREQUISITEalias0"."course_id" FROM "course_prerequisite" "COURSE_PREREQUISITEalias0" WHERE NOT "COURSE_PREREQUISITEalias0"."pre_course_id" IN ("course_id")) JOIN "course_offering" "COURSE_OFFERINGalias0" ON "COURSE_OFFERINGalias0"."course_id" = "COURSEalias0"."course_id" JOIN "program_course" "PROGRAM_COURSEalias0" ON "COURSE_OFFERINGalias0"."course_id" = "PROGRAM_COURSEalias0"."course_id" AND "PROGRAM_COURSEalias0"."category" LIKE '%MDE%' JOIN "semester" "SEMESTERalias0" ON "COURSE_OFFERINGalias0"."semester" = "SEMESTERalias0"."semester_id" AND "SEMESTERalias0"."semester" IN ('FA', 'WN') AND "SEMESTERalias0"."year" = 2016 WHERE "earn_credit" = 'Y' AND "student_id" = 1 | 0.989258 |
CREATE TABLE table_65734 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" FLOAT)
| How many weeks have an Attendance of 62,289? | SELECT SUM("Week") FROM table_65734 WHERE "Attendance" = '62,289' | SELECT SUM("Week") FROM "table_65734" WHERE "Attendance" = '62,289' | 0.06543 |
CREATE TABLE table_8959 ("Tournament" CLOB, "Country" CLOB, "Location" CLOB, "Began" FLOAT, "Court surface" CLOB)
| what is the tournament when the court surface is clay and began in 1892? | SELECT "Tournament" FROM table_8959 WHERE "Court surface" = 'clay' AND "Began" = '1892' | SELECT "Tournament" FROM "table_8959" WHERE "Began" = '1892' AND "Court surface" = 'clay' | 0.086914 |
CREATE TABLE table_name_51 (q1 VARCHAR2, q2_time VARCHAR2, q1_time VARCHAR2)
| What is the Q1+Q2 time for the driver whose Q1 time was 1:14.819, ? | SELECT q1 + q2_time FROM table_name_51 WHERE q1_time = "1:14.819" | SELECT "q1" + "q2_time" FROM "table_name_51" WHERE "1:14.819" = "q1_time" | 0.071289 |
CREATE TABLE table_42517 ("Year" CLOB, "Title" CLOB, "Genre" CLOB, "Label" CLOB, "Result" CLOB)
| Which title's genre was jazz when it was nominated in 1996? | SELECT "Title" FROM table_42517 WHERE "Genre" = 'jazz' AND "Result" = 'nominated' AND "Year" = '1996' | SELECT "Title" FROM "table_42517" WHERE "Genre" = 'jazz' AND "Result" = 'nominated' AND "Year" = '1996' | 0.100586 |
CREATE TABLE table_name_85 (class VARCHAR2, vessel_name VARCHAR2)
| What is the class of vessel of the ship Hyundai Smart? | SELECT class FROM table_name_85 WHERE vessel_name = "hyundai smart" | SELECT "class" FROM "table_name_85" WHERE "hyundai smart" = "vessel_name" | 0.071289 |
CREATE TABLE table_47588 ("Round" FLOAT, "Pick" FLOAT, "Player" CLOB, "Nationality" CLOB, "College" CLOB)
| For the draft pick from round 3 out of Mercer College what is the nationality? | SELECT "Nationality" FROM table_47588 WHERE "Round" = '3' AND "College" = 'mercer' | SELECT "Nationality" FROM "table_47588" WHERE "College" = 'mercer' AND "Round" = '3' | 0.082031 |
CREATE TABLE table_53990 ("Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Production code" CLOB)
| What is the air date for the episode with production code ad1c13? | SELECT "Original air date" FROM table_53990 WHERE "Production code" = 'ad1c13' | SELECT "Original air date" FROM "table_53990" WHERE "Production code" = 'ad1c13' | 0.078125 |
CREATE TABLE table_40639 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" CLOB)
| When has a Week of 1? | SELECT "Date" FROM table_40639 WHERE "Week" = '1' | SELECT "Date" FROM "table_40639" WHERE "Week" = '1' | 0.049805 |
CREATE TABLE table_name_13 (mascot VARCHAR2, previous_conference VARCHAR2, location VARCHAR2)
| What is the Mascot for the team from leo that had a Previous Conference value of independent? | SELECT mascot FROM table_name_13 WHERE previous_conference = "independent" AND location = "leo" | SELECT "mascot" FROM "table_name_13" WHERE "independent" = "previous_conference" AND "leo" = "location" | 0.100586 |
CREATE TABLE table_name_98 (programming VARCHAR2, channel VARCHAR2)
| Which Programming is on Channel 26.5? | SELECT programming FROM table_name_98 WHERE channel = 26.5 | SELECT "programming" FROM "table_name_98" WHERE "channel" = 26.5 | 0.0625 |
CREATE TABLE table_6851 ("Season" CLOB, "Team" CLOB, "Conference ( Conf. ) " CLOB, "Division ( Div. ) " CLOB, "Win%" CLOB, "Awards" CLOB)
| What season had a .439 Win% in the 1996-97 Team? | SELECT "Season" FROM table_6851 WHERE "Win%" = '.439' AND "Team" = '1996-97' | SELECT "Season" FROM "table_6851" WHERE "Team" = '1996-97' AND "Win%" = '.439' | 0.076172 |
CREATE TABLE table_name_23 (attendance NUMBER, date VARCHAR2)
| What is the average attendance for the date of april 4? | SELECT AVG(attendance) FROM table_name_23 WHERE date = "april 4" | SELECT AVG("attendance") FROM "table_name_23" WHERE "april 4" = "date" | 0.068359 |
CREATE TABLE table_11793221_4 (commander VARCHAR2, complement VARCHAR2)
| Name the commander of 167 off 2348 men | SELECT commander FROM table_11793221_4 WHERE complement = "167 off 2348 men" | SELECT "commander" FROM "table_11793221_4" WHERE "167 off 2348 men" = "complement" | 0.080078 |
CREATE TABLE table_18816 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| What was the score of the game when the team was 1-2? | SELECT "Score" FROM table_18816 WHERE "Record" = '1-2' | SELECT "Score" FROM "table_18816" WHERE "Record" = '1-2' | 0.054688 |
CREATE TABLE table_3029 ("Position" CLOB, "Name" CLOB, "Nationality" CLOB, "Event 1 Medley" CLOB, "Event 2 Truck Pull" CLOB, "Event 3 Squat Lift" CLOB, "Event 4 Carwalk" CLOB, "Event 5 Dumbbell Press" CLOB, "Event 6 Atlas Stones" CLOB)
| How many men from the Ukraine? | SELECT COUNT("Event 4 Carwalk") FROM table_3029 WHERE "Nationality" = 'Ukraine' | SELECT COUNT("Event 4 Carwalk") FROM "table_3029" WHERE "Nationality" = 'Ukraine' | 0.079102 |
CREATE TABLE table_637 ("W.H. Archer" CLOB, "J.E. Armstrong" CLOB, "H.L. Birkett" CLOB, "F.A. Brill" CLOB, "H.T. Brewer" CLOB)
| Who is h.l birkett if w.h. archer is r. cochrane? | SELECT "H.L. Birkett" FROM table_637 WHERE "W.H. Archer" = 'R. Cochrane' | SELECT "H.L. Birkett" FROM "table_637" WHERE "W.H. Archer" = 'R. Cochrane' | 0.072266 |
CREATE TABLE table_name_7 (_number_of_bids NUMBER, win__percentage VARCHAR2, conference VARCHAR2)
| How many bids were there for the .500 win percentage in the Ohio Valley conference? | SELECT SUM(_number_of_bids) FROM table_name_7 WHERE win__percentage = ".500" AND conference = "ohio valley" | SELECT SUM("_number_of_bids") FROM "table_name_7" WHERE ".500" = "win__percentage" AND "conference" = "ohio valley" | 0.112305 |
CREATE TABLE table_name_37 (apps NUMBER, name VARCHAR2)
| What is the total of apps for Keith Treacy? | SELECT SUM(apps) FROM table_name_37 WHERE name = "keith treacy" | SELECT SUM("apps") FROM "table_name_37" WHERE "keith treacy" = "name" | 0.067383 |
CREATE TABLE table_62838 ("Date" CLOB, "Venue" CLOB, "Score" CLOB, "Result" CLOB, "Competition" CLOB)
| What was the score for king's cup 1996? | SELECT "Score" FROM table_62838 WHERE "Competition" = 'king''s cup 1996' | SELECT "Score" FROM "table_62838" WHERE "Competition" = 'king''s cup 1996' | 0.072266 |
CREATE TABLE table_9998 ("Date" CLOB, "Round" CLOB, "Opponent" CLOB, "Venue" CLOB, "Result" CLOB, "Attendance" FLOAT)
| Who was the opponent in the round of R2? | SELECT "Opponent" FROM table_9998 WHERE "Round" = 'r2' | SELECT "Opponent" FROM "table_9998" WHERE "Round" = 'r2' | 0.054688 |
CREATE TABLE table_56406 ("Team" CLOB, "Outgoing manager" CLOB, "Manner of departure" CLOB, "Date of vacancy" CLOB, "Replaced by" CLOB, "Date of appointment" CLOB)
| I want the manner of departure for date of appointment being 12 october 2007 | SELECT "Manner of departure" FROM table_56406 WHERE "Date of appointment" = '12 october 2007' | SELECT "Manner of departure" FROM "table_56406" WHERE "Date of appointment" = '12 october 2007' | 0.092773 |
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)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| count the number of patients whose primary disease is s/p hanging and days of hospital stay is greater than 20? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "S/P HANGING" AND demographic.days_stay > "20" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "20" < "demographic"."days_stay" AND "S/P HANGING" = "demographic"."diagnosis" | 0.149414 |
CREATE TABLE table_78192 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| When the away team scored 11.12 (78), what was the date of the game? | SELECT "Date" FROM table_78192 WHERE "Away team score" = '11.12 (78)' | SELECT "Date" FROM "table_78192" WHERE "Away team score" = '11.12 (78)' | 0.069336 |
CREATE TABLE table_60085 ("Year" FLOAT, "Round" FLOAT, "Pick" FLOAT, "Overall" FLOAT, "Player name" CLOB, "Position" CLOB, "AFL team" CLOB)
| What is the smallest Pick with Overall larger than 17, a Player name of dave adams category:articles with hcards, and a Year larger than 1963? | SELECT MIN("Pick") FROM table_60085 WHERE "Overall" > '17' AND "Player name" = 'dave adams category:articles with hcards' AND "Year" > '1963' | SELECT MIN("Pick") FROM "table_60085" WHERE "Overall" > '17' AND "Player name" = 'dave adams category:articles with hcards' AND "Year" > '1963' | 0.139648 |
CREATE TABLE table_name_32 (representative VARCHAR2, presentation_of_credentials VARCHAR2)
| Who is the representative with a presentation of credentials date on February 23, 1854? | SELECT representative FROM table_name_32 WHERE presentation_of_credentials = "february 23, 1854" | SELECT "representative" FROM "table_name_32" WHERE "february 23, 1854" = "presentation_of_credentials" | 0.099609 |
CREATE TABLE table_34257 ("Abbr." CLOB, "Name" CLOB, "Picture Coding Types" CLOB, "Chroma Format" CLOB, "Aspect Ratios" CLOB, "Scalable modes" CLOB, "Intra DC Precision" CLOB)
| Name the Intra DC Precision that has the Name main profile? | SELECT "Intra DC Precision" FROM table_34257 WHERE "Name" = 'main profile' | SELECT "Intra DC Precision" FROM "table_34257" WHERE "Name" = 'main profile' | 0.074219 |
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTaskStates (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 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 ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense 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 ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE CloseReasonTypes (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 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 PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId 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 FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
| Top 10 users in Coimbatore. | SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS "#", Id AS "user_link", Reputation, Location FROM Users WHERE LOWER(Location) LIKE '%coimbatore%' OR UPPER(Location) LIKE '%COIMBATORE%' OR Location LIKE '%Karur%' ORDER BY Reputation DESC LIMIT 10 | SELECT ROW_NUMBER() OVER (ORDER BY "Reputation" DESC) AS "#", "Id" AS "user_link", "Reputation", "Location" FROM "Users" WHERE "Location" LIKE '%Karur%' OR LOWER("Location") LIKE '%coimbatore%' OR UPPER("Location") LIKE '%COIMBATORE%' ORDER BY "Reputation" DESC FETCH FIRST 10 ROWS ONLY | 0.279297 |
CREATE TABLE table_204_295 (id NUMBER, "model" CLOB, "origin" CLOB, "type" CLOB, "version" CLOB, "in service" NUMBER, "notes" CLOB)
| what model was in service the least ? | SELECT "model" FROM table_204_295 ORDER BY "in service" LIMIT 1 | SELECT "model" FROM "table_204_295" ORDER BY "in service" FETCH FIRST 1 ROWS ONLY | 0.079102 |
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 prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| Count the number of patients who had fiber-optic bronchoscopy that stayed in the hospital for more than 30 days. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.days_stay > "30" AND procedures.short_title = "Fiber-optic bronchoscopy" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Fiber-optic bronchoscopy" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "30" < "demographic"."days_stay" | 0.231445 |
CREATE TABLE table_75456 ("Round" CLOB, "Date" CLOB, "Matches" FLOAT, "Clubs" CLOB, "New entries this round" CLOB, "Prize money" CLOB)
| How many new entries this round are there with more than 16 matches and a third round qualifying? | SELECT "New entries this round" FROM table_75456 WHERE "Matches" > '16' AND "Round" = 'third round qualifying' | SELECT "New entries this round" FROM "table_75456" WHERE "Matches" > '16' AND "Round" = 'third round qualifying' | 0.109375 |
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