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CREATE TABLE table_name_26 (goals_conceded NUMBER, draw VARCHAR2, goals_scored VARCHAR2)
| Name the average goals conceded with draw bigger than 7 and goals scored more than 24 | SELECT AVG(goals_conceded) FROM table_name_26 WHERE draw > 7 AND goals_scored > 24 | SELECT AVG("goals_conceded") FROM "table_name_26" WHERE "draw" > 7 AND "goals_scored" > 24 | 0.087891 |
CREATE TABLE Department_Store_Chain (dept_store_chain_id NUMBER, dept_store_chain_name VARCHAR2)
CREATE TABLE Departments (department_id NUMBER, dept_store_id NUMBER, department_name VARCHAR2)
CREATE TABLE Supplier_Addresses (supplier_id NUMBER, address_id NUMBER, date_from DATETIME, date_to DATETIME)
CREATE TABLE Staff (staff_id NUMBER, staff_gender VARCHAR2, staff_name VARCHAR2)
CREATE TABLE Products (product_id NUMBER, product_type_code VARCHAR2, product_name VARCHAR2, product_price NUMBER)
CREATE TABLE Order_Items (order_item_id NUMBER, order_id NUMBER, product_id NUMBER)
CREATE TABLE Customers (customer_id NUMBER, payment_method_code VARCHAR2, customer_code VARCHAR2, customer_name VARCHAR2, customer_address VARCHAR2, customer_phone VARCHAR2, customer_email VARCHAR2)
CREATE TABLE Staff_Department_Assignments (staff_id NUMBER, department_id NUMBER, date_assigned_from DATETIME, job_title_code VARCHAR2, date_assigned_to DATETIME)
CREATE TABLE Customer_Addresses (customer_id NUMBER, address_id NUMBER, date_from DATETIME, date_to DATETIME)
CREATE TABLE Product_Suppliers (product_id NUMBER, supplier_id NUMBER, date_supplied_from DATETIME, date_supplied_to DATETIME, total_amount_purchased VARCHAR2, total_value_purchased NUMBER)
CREATE TABLE Suppliers (supplier_id NUMBER, supplier_name VARCHAR2, supplier_phone VARCHAR2)
CREATE TABLE Addresses (address_id NUMBER, address_details VARCHAR2)
CREATE TABLE Department_Stores (dept_store_id NUMBER, dept_store_chain_id NUMBER, store_name VARCHAR2, store_address VARCHAR2, store_phone VARCHAR2, store_email VARCHAR2)
CREATE TABLE Customer_Orders (order_id NUMBER, customer_id NUMBER, order_status_code VARCHAR2, order_date DATETIME)
| Give me a bar chart showing the number of products supplied by supplier id 3 for different product type code, and could you list by the bar from low to high? | SELECT product_type_code, COUNT(product_type_code) FROM Product_Suppliers AS T1 JOIN Products AS T2 ON T1.product_id = T2.product_id WHERE T1.supplier_id = 3 GROUP BY product_type_code ORDER BY product_type_code | SELECT "product_type_code", COUNT("product_type_code") FROM "Product_Suppliers" "T1" JOIN "Products" "T2" ON "T1"."product_id" = "T2"."product_id" WHERE "T1"."supplier_id" = 3 GROUP BY "product_type_code" ORDER BY "product_type_code" | 0.227539 |
CREATE TABLE table_39479 ("Date" CLOB, "Tournament" CLOB, "Winning score" CLOB, "Margin of victory" CLOB, "Runner ( s ) -up" CLOB)
| What was the winning score when Steve Stricker was runner-up? | SELECT "Winning score" FROM table_39479 WHERE "Runner(s)-up" = 'steve stricker' | SELECT "Winning score" FROM "table_39479" WHERE "Runner(s)-up" = 'steve stricker' | 0.079102 |
CREATE TABLE table_48093 ("Res." CLOB, "Record" CLOB, "Opponent" CLOB, "Method" CLOB, "Event" CLOB, "Round" FLOAT, "Time" CLOB, "Location" CLOB)
| Which Opponent has an Event of jungle fight 5? | SELECT "Opponent" FROM table_48093 WHERE "Event" = 'jungle fight 5' | SELECT "Opponent" FROM "table_48093" WHERE "Event" = 'jungle fight 5' | 0.067383 |
CREATE TABLE table_name_19 (date VARCHAR2, winning_score VARCHAR2)
| Which Date has a Winning score of 9 (70-64-70=203)? | SELECT date FROM table_name_19 WHERE winning_score = −9(70 - 64 - 70 = 203) | SELECT "date" FROM "table_name_19" WHERE "winning_score" = −9(FALSE) | 0.066406 |
CREATE TABLE table_65632 ("Heat" FLOAT, "Lane" FLOAT, "Name" CLOB, "Nationality" CLOB, "Time" CLOB)
| What lane was Henrique Barbosa in? | SELECT COUNT("Lane") FROM table_65632 WHERE "Name" = 'henrique barbosa' | SELECT COUNT("Lane") FROM "table_65632" WHERE "Name" = 'henrique barbosa' | 0.071289 |
CREATE TABLE table_name_3 (place VARCHAR2, machine VARCHAR2)
| Where was the 249cc Yamaha? | SELECT place FROM table_name_3 WHERE machine = "249cc yamaha" | SELECT "place" FROM "table_name_3" WHERE "249cc yamaha" = "machine" | 0.06543 |
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 locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
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, visualize a scatter chart about the correlation between employee_id and department_id . | SELECT EMPLOYEE_ID, DEPARTMENT_ID FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 | SELECT "EMPLOYEE_ID", "DEPARTMENT_ID" FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) | 0.206055 |
CREATE TABLE table_21630 ("Series #" FLOAT, "Season #" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB)
| Which season titles were directed by Laura Innes? | SELECT "Title" FROM table_21630 WHERE "Directed by" = 'Laura Innes' | SELECT "Title" FROM "table_21630" WHERE "Directed by" = 'Laura Innes' | 0.067383 |
CREATE TABLE table_7793 ("Year" FLOAT, "Track" CLOB, "50 cc" CLOB, "125 cc" CLOB, "Report" CLOB)
| What's the value for report for the rijeka track after 1978 when loris reggiani got the 125cc? | SELECT "Report" FROM table_7793 WHERE "Track" = 'rijeka' AND "Year" > '1978' AND "125 cc" = 'loris reggiani' | SELECT "Report" FROM "table_7793" WHERE "125 cc" = 'loris reggiani' AND "Track" = 'rijeka' AND "Year" > '1978' | 0.107422 |
CREATE TABLE table_name_92 (highest_score NUMBER, lowest_score VARCHAR2, worst_dancer_s_ VARCHAR2, best_dancer_s_ VARCHAR2)
| What is the lowest score in the Highest score column when Master P was the Worst dancer(s), Drew Lachey was the Best dancer(s), and the Lowest score was under 8? | SELECT MIN(highest_score) FROM table_name_92 WHERE worst_dancer_s_ = "master p" AND best_dancer_s_ = "drew lachey" AND lowest_score < 8 | SELECT MIN("highest_score") FROM "table_name_92" WHERE "best_dancer_s_" = "drew lachey" AND "lowest_score" < 8 AND "master p" = "worst_dancer_s_" | 0.141602 |
CREATE TABLE table_48866 ("Season" FLOAT, "Total Attendance" FLOAT, "Games" FLOAT, "Average" FLOAT, "High avg." FLOAT, "Team" CLOB, "No. Of Clubs" FLOAT)
| What is the maximum number of games when the season is more recent than 2001 and the average is less than 10,838? | SELECT MAX("Games") FROM table_48866 WHERE "Season" > '2001' AND "Average" < '10,838' | SELECT MAX("Games") FROM "table_48866" WHERE "Average" < '10,838' AND "Season" > '2001' | 0.084961 |
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)
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)
| what is procedure short title of procedure icd9 code 92? | SELECT procedures.short_title FROM procedures WHERE procedures.icd9_code = "92" | SELECT "procedures"."short_title" FROM "procedures" WHERE "92" = "procedures"."icd9_code" | 0.086914 |
CREATE TABLE table_name_29 (score VARCHAR2, year VARCHAR2)
| What's the score in 1990? | SELECT score FROM table_name_29 WHERE year = "1990" | SELECT "score" FROM "table_name_29" WHERE "1990" = "year" | 0.055664 |
CREATE TABLE CLASS (CLASS_CODE VARCHAR2, CRS_CODE VARCHAR2, CLASS_SECTION VARCHAR2, CLASS_TIME VARCHAR2, CLASS_ROOM VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE PROFESSOR (EMP_NUM NUMBER, DEPT_CODE VARCHAR2, PROF_OFFICE VARCHAR2, PROF_EXTENSION VARCHAR2, PROF_HIGH_DEGREE VARCHAR2)
CREATE TABLE ENROLL (CLASS_CODE VARCHAR2, STU_NUM NUMBER, ENROLL_GRADE VARCHAR2)
CREATE TABLE STUDENT (STU_NUM NUMBER, STU_LNAME VARCHAR2, STU_FNAME VARCHAR2, STU_INIT VARCHAR2, STU_DOB DATETIME, STU_HRS NUMBER, STU_CLASS VARCHAR2, STU_GPA FLOAT, STU_TRANSFER NUMBER, DEPT_CODE VARCHAR2, STU_PHONE VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR2, DEPT_NAME VARCHAR2, SCHOOL_CODE VARCHAR2, EMP_NUM NUMBER, DEPT_ADDRESS VARCHAR2, DEPT_EXTENSION VARCHAR2)
CREATE TABLE EMPLOYEE (EMP_NUM NUMBER, EMP_LNAME VARCHAR2, EMP_FNAME VARCHAR2, EMP_INITIAL VARCHAR2, EMP_JOBCODE VARCHAR2, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
CREATE TABLE COURSE (CRS_CODE VARCHAR2, DEPT_CODE VARCHAR2, CRS_DESCRIPTION VARCHAR2, CRS_CREDIT FLOAT)
| Visualize a pie chart with how many classes are held in each department? | SELECT DEPT_CODE, COUNT(*) FROM CLASS AS T1 JOIN COURSE AS T2 ON T1.CRS_CODE = T2.CRS_CODE GROUP BY DEPT_CODE | SELECT "DEPT_CODE", COUNT(*) FROM "CLASS" "T1" JOIN "COURSE" "T2" ON "T1"."CRS_CODE" = "T2"."CRS_CODE" GROUP BY "DEPT_CODE" | 0.120117 |
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE 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 patient 004-32341's last sao2 on this month/09? | SELECT vitalperiodic.sao2 FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '004-32341')) AND NOT vitalperiodic.sao2 IS NULL AND DATETIME(vitalperiodic.observationtime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND STRFTIME('%d', vitalperiodic.observationtime) = '09' ORDER BY vitalperiodic.observationtime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '004-32341' 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 "vitalperiodic"."sao2" FROM "vitalperiodic" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE DATETIME("vitalperiodic"."observationtime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."sao2" IS NULL AND STRFTIME('%d', "vitalperiodic"."observationtime") = '09' ORDER BY "vitalperiodic"."observationtime" DESC FETCH FIRST 1 ROWS ONLY | 0.78418 |
CREATE TABLE table_76850 ("Club" CLOB, "Played" CLOB, "Drawn" CLOB, "Lost" CLOB, "Points for" CLOB, "Points against" CLOB, "Tries for" CLOB, "Tries against" CLOB, "Try bonus" CLOB, "Losing bonus" CLOB, "Points" CLOB)
| What is the name of the club with 22 points? | SELECT "Club" FROM table_76850 WHERE "Points" = '22' | SELECT "Club" FROM "table_76850" WHERE "Points" = '22' | 0.052734 |
CREATE TABLE table_32195 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| On what date did Brunswick Street Oval see more than 19,500 people? | SELECT "Date" FROM table_32195 WHERE "Crowd" > '19,500' AND "Venue" = 'brunswick street oval' | SELECT "Date" FROM "table_32195" WHERE "Crowd" > '19,500' AND "Venue" = 'brunswick street oval' | 0.092773 |
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE 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 procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE 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 labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| how did patient 12775 enter hospital for the first time in 2105? | SELECT admissions.admission_type FROM admissions WHERE admissions.subject_id = 12775 AND STRFTIME('%y', admissions.admittime) = '2105' ORDER BY admissions.admittime LIMIT 1 | SELECT "admissions"."admission_type" FROM "admissions" WHERE "admissions"."subject_id" = 12775 AND STRFTIME('%y', "admissions"."admittime") = '2105' ORDER BY "admissions"."admittime" FETCH FIRST 1 ROWS ONLY | 0.201172 |
CREATE TABLE table_9127 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Leading scorer" CLOB, "Attendance" CLOB, "Record" CLOB)
| What was the visiting team for the game that ended 82-75? | SELECT "Visitor" FROM table_9127 WHERE "Score" = '82-75' | SELECT "Visitor" FROM "table_9127" WHERE "Score" = '82-75' | 0.056641 |
CREATE TABLE table_45333 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" FLOAT)
| What is the lowest Week, when Attendance is 38,624? | SELECT MIN("Week") FROM table_45333 WHERE "Attendance" = '38,624' | SELECT MIN("Week") FROM "table_45333" WHERE "Attendance" = '38,624' | 0.06543 |
CREATE TABLE table_56333 ("Team" CLOB, "Games Played" FLOAT, "Wins" FLOAT, "Losses" FLOAT, "Ties" FLOAT, "Goals For" FLOAT, "Goals Against" FLOAT)
| How many losses occurred with less than 8 games played and less than 3 wins? | SELECT COUNT("Losses") FROM table_56333 WHERE "Games Played" < '8' AND "Wins" < '3' | SELECT COUNT("Losses") FROM "table_56333" WHERE "Games Played" < '8' AND "Wins" < '3' | 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 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)
| what is discharge location and discharge time of subject id 17570? | SELECT demographic.discharge_location, demographic.dischtime FROM demographic WHERE demographic.subject_id = "17570" | SELECT "demographic"."discharge_location", "demographic"."dischtime" FROM "demographic" WHERE "17570" = "demographic"."subject_id" | 0.126953 |
CREATE TABLE table_78948 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| What did Taiwan score? | SELECT "Score" FROM table_78948 WHERE "Country" = 'taiwan' | SELECT "Score" FROM "table_78948" WHERE "Country" = 'taiwan' | 0.058594 |
CREATE TABLE table_3764 ("Artist" CLOB, "Country" CLOB, "Number-one single ( s ) " CLOB, "Year" FLOAT, "Weeks at #1" FLOAT, "Straight to #1 ?" CLOB)
| Name the number one singles for desvarieux, jacob | SELECT "Number-one single(s)" FROM table_3764 WHERE "Artist" = 'Desvarieux, Jacob' | SELECT "Number-one single(s)" FROM "table_3764" WHERE "Artist" = 'Desvarieux, Jacob' | 0.082031 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| what is maximum age of patients whose admission type is emergency and insurance is private? | SELECT MAX(demographic.age) FROM demographic WHERE demographic.admission_type = "EMERGENCY" AND demographic.insurance = "Private" | SELECT MAX("demographic"."age") FROM "demographic" WHERE "EMERGENCY" = "demographic"."admission_type" AND "Private" = "demographic"."insurance" | 0.139648 |
CREATE TABLE table_62008 ("Name" CLOB, "Circuit" CLOB, "Date" CLOB, "Winning driver" CLOB, "Winning constructor" CLOB, "Report" CLOB)
| Name the Report with Winning constructor of maserati, and a Name of monza grand prix? | SELECT "Report" FROM table_62008 WHERE "Winning constructor" = 'maserati' AND "Name" = 'monza grand prix' | SELECT "Report" FROM "table_62008" WHERE "Name" = 'monza grand prix' AND "Winning constructor" = 'maserati' | 0.104492 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| what is the number of patients with american indian/aslaska native ethnicity with procedure icd9 code 4575? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.ethnicity = "AMERICAN INDIAN/ALASKA NATIVE" AND procedures.icd9_code = "4575" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "4575" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "AMERICAN INDIAN/ALASKA NATIVE" = "demographic"."ethnicity" | 0.236328 |
CREATE TABLE table_10975034_4 (college VARCHAR2, position VARCHAR2)
| How many colleges have a DB position? | SELECT COUNT(college) FROM table_10975034_4 WHERE position = "DB" | SELECT COUNT("college") FROM "table_10975034_4" WHERE "DB" = "position" | 0.069336 |
CREATE TABLE table_name_9 (class VARCHAR2, weight VARCHAR2)
| What is the class of the player with a weight of 242 pounds? | SELECT class FROM table_name_9 WHERE weight = 242 | SELECT "class" FROM "table_name_9" WHERE "weight" = 242 | 0.053711 |
CREATE TABLE table_78208 ("Date ( s ) conducted" CLOB, "Polling organisation/client" CLOB, "Cons" CLOB, "Plaid Cymru" CLOB, "Lib Dem" CLOB, "Others" CLOB, "Lead" CLOB)
| Name the others for cons of 21% and lead of 24% | SELECT "Others" FROM table_78208 WHERE "Cons" = '21%' AND "Lead" = '24%' | SELECT "Others" FROM "table_78208" WHERE "Cons" = '21%' AND "Lead" = '24%' | 0.072266 |
CREATE TABLE table_16105 ("Date" CLOB, "Album name" CLOB, "Track" CLOB, "Track title" CLOB, "Lyricist" CLOB, "Music genre/style" CLOB, "Major instrument ( s ) " CLOB, "Lyrics theme/style" CLOB, "Duration" CLOB)
| What is the duration of the song where the major instrument is the piano and the date is 2004-02-03? | SELECT "Duration" FROM table_16105 WHERE "Major instrument(s)" = 'Piano' AND "Date" = '2004-02-03' | SELECT "Duration" FROM "table_16105" WHERE "Date" = '2004-02-03' AND "Major instrument(s)" = 'Piano' | 0.097656 |
CREATE TABLE table_name_78 (team VARCHAR2, day_2 VARCHAR2)
| Which team was 3:47.761 on day 2? | SELECT team FROM table_name_78 WHERE day_2 = "3:47.761" | SELECT "team" FROM "table_name_78" WHERE "3:47.761" = "day_2" | 0.05957 |
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
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 ReviewTaskStates (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 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 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 PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE 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 PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
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 Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount 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 TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE VoteTypes (Id NUMBER, Name 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 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 PostHistoryTypes (Id NUMBER, Name CLOB)
| Find Posts edited after a Leave Closed result of a Reopen Votes review queue. | SELECT P.Id AS P_Id, P.LastEditDate AS P_LastEditDate, RT.Id AS RT_Id, RTT.Name AS RTT_Name, RT.CreationDate AS RT_CreationDate, RTS.Name AS RTS_Name, RTR.Id AS RTR_Id, RTRT.Name AS RTTR_Name, RTR.CreationDate AS RTR_CreationDate FROM ReviewTasks AS RT INNER JOIN ReviewTaskTypes AS RTT ON RT.ReviewTaskTypeId = RTT.Id INNER JOIN ReviewTaskStates AS RTS ON RT.ReviewTaskStateId = RTS.Id INNER JOIN ReviewTaskResults AS RTR ON RT.CompletedByReviewTaskId = RTR.Id INNER JOIN ReviewTaskResultTypes AS RTRT ON RTR.ReviewTaskResultTypeId = RTRT.Id INNER JOIN Posts AS P ON RT.PostId = P.Id WHERE (RT.ReviewTaskTypeId = 6 AND RTR.ReviewTaskResultTypeId = 13 AND P.LastEditDate > RTR.CreationDate) ORDER BY P.LastEditDate DESC | SELECT "P"."Id" AS "P_Id", "P"."LastEditDate" AS "P_LastEditDate", "RT"."Id" AS "RT_Id", "RTT"."Name" AS "RTT_Name", "RT"."CreationDate" AS "RT_CreationDate", "RTS"."Name" AS "RTS_Name", "RTR"."Id" AS "RTR_Id", "RTRT"."Name" AS "RTTR_Name", "RTR"."CreationDate" AS "RTR_CreationDate" FROM "ReviewTasks" "RT" JOIN "ReviewTaskResults" "RTR" ON "RT"."CompletedByReviewTaskId" = "RTR"."Id" AND "RTR"."ReviewTaskResultTypeId" = 13 JOIN "ReviewTaskStates" "RTS" ON "RT"."ReviewTaskStateId" = "RTS"."Id" JOIN "ReviewTaskTypes" "RTT" ON "RT"."ReviewTaskTypeId" = "RTT"."Id" JOIN "Posts" "P" ON "P"."Id" = "RT"."PostId" AND "P"."LastEditDate" > "RTR"."CreationDate" JOIN "ReviewTaskResultTypes" "RTRT" ON "RTR"."ReviewTaskResultTypeId" = "RTRT"."Id" WHERE "RT"."ReviewTaskTypeId" = 6 ORDER BY "P"."LastEditDate" DESC | 0.788086 |
CREATE TABLE table_203_804 (id NUMBER, "pos" CLOB, "no" NUMBER, "driver" CLOB, "constructor" CLOB, "laps" NUMBER, "time/retired" CLOB, "grid" NUMBER)
| which driver did the least number of laps ? | SELECT "driver" FROM table_203_804 ORDER BY "laps" LIMIT 1 | SELECT "driver" FROM "table_203_804" ORDER BY "laps" FETCH FIRST 1 ROWS ONLY | 0.074219 |
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE 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 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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
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 ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description 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 Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense 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 Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId 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)
| SELECT Id, PostTypeId FROM Posts;. | SELECT Id, PostTypeId FROM Posts | SELECT "Id", "PostTypeId" FROM "Posts" | 0.037109 |
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 d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto 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 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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
| how long was the last time patient 67687 was in intensive care? | SELECT STRFTIME('%j', icustays.outtime) - STRFTIME('%j', icustays.intime) FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 67687) AND NOT icustays.outtime IS NULL ORDER BY icustays.intime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 67687 GROUP BY "hadm_id") SELECT STRFTIME('%j', "icustays"."outtime") - STRFTIME('%j', "icustays"."intime") FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND NOT "icustays"."outtime" IS NULL ORDER BY "icustays"."intime" DESC FETCH FIRST 1 ROWS ONLY | 0.394531 |
CREATE TABLE table_name_72 (score VARCHAR2, date VARCHAR2)
| What was the final score for the game on May 1? | SELECT score FROM table_name_72 WHERE date = "may 1" | SELECT "score" FROM "table_name_72" WHERE "date" = "may 1" | 0.056641 |
CREATE TABLE table_13741576_6 (club VARCHAR2, points_against VARCHAR2)
| What club had 523 points against? | SELECT club FROM table_13741576_6 WHERE points_against = "523" | SELECT "club" FROM "table_13741576_6" WHERE "523" = "points_against" | 0.066406 |
CREATE TABLE table_57248 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| Which away team had a home team that scored 12.19 (91)? | SELECT "Away team" FROM table_57248 WHERE "Home team score" = '12.19 (91)' | SELECT "Away team" FROM "table_57248" WHERE "Home team score" = '12.19 (91)' | 0.074219 |
CREATE TABLE table_name_40 (home_team VARCHAR2, venue VARCHAR2)
| What is the home team score when the venue is Princes Park? | SELECT home_team AS score FROM table_name_40 WHERE venue = "princes park" | SELECT "home_team" AS "score" FROM "table_name_40" WHERE "princes park" = "venue" | 0.079102 |
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 countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
| For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about the sum of manager_id over the hire_date bin hire_date by time by a bar chart, list by the Y in asc. | SELECT HIRE_DATE, SUM(MANAGER_ID) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY SUM(MANAGER_ID) | SELECT "HIRE_DATE", SUM("MANAGER_ID") FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY SUM("MANAGER_ID") | 0.199219 |
CREATE TABLE MediaType (MediaTypeId NUMBER, Name VARCHAR2)
CREATE TABLE PlaylistTrack (PlaylistId NUMBER, TrackId NUMBER)
CREATE TABLE Genre (GenreId NUMBER, Name VARCHAR2)
CREATE TABLE Artist (ArtistId NUMBER, Name VARCHAR2)
CREATE TABLE Track (TrackId NUMBER, Name VARCHAR2, AlbumId NUMBER, MediaTypeId NUMBER, GenreId NUMBER, Composer VARCHAR2, Milliseconds NUMBER, Bytes NUMBER, UnitPrice NUMBER)
CREATE TABLE InvoiceLine (InvoiceLineId NUMBER, InvoiceId NUMBER, TrackId NUMBER, UnitPrice NUMBER, Quantity NUMBER)
CREATE TABLE Employee (EmployeeId NUMBER, LastName VARCHAR2, FirstName VARCHAR2, Title VARCHAR2, ReportsTo NUMBER, BirthDate DATETIME, HireDate DATETIME, Address VARCHAR2, City VARCHAR2, State VARCHAR2, Country VARCHAR2, PostalCode VARCHAR2, Phone VARCHAR2, Fax VARCHAR2, Email VARCHAR2)
CREATE TABLE Invoice (InvoiceId NUMBER, CustomerId NUMBER, InvoiceDate DATETIME, BillingAddress VARCHAR2, BillingCity VARCHAR2, BillingState VARCHAR2, BillingCountry VARCHAR2, BillingPostalCode VARCHAR2, Total NUMBER)
CREATE TABLE Playlist (PlaylistId NUMBER, Name VARCHAR2)
CREATE TABLE Customer (CustomerId NUMBER, FirstName VARCHAR2, LastName VARCHAR2, Company VARCHAR2, Address VARCHAR2, City VARCHAR2, State VARCHAR2, Country VARCHAR2, PostalCode VARCHAR2, Phone VARCHAR2, Fax VARCHAR2, Email VARCHAR2, SupportRepId NUMBER)
CREATE TABLE Album (AlbumId NUMBER, Title VARCHAR2, ArtistId NUMBER)
| Show me a bar chart for what are the titles and ids for albums containing tracks with unit price greater than 1?, and rank in desc by the x axis. | SELECT T1.Title, T1.AlbumId FROM Album AS T1 JOIN Track AS T2 ON T1.AlbumId = T2.AlbumId WHERE T2.UnitPrice > 1 ORDER BY T1.Title DESC | SELECT "T1"."Title", "T1"."AlbumId" FROM "Album" "T1" JOIN "Track" "T2" ON "T1"."AlbumId" = "T2"."AlbumId" AND "T2"."UnitPrice" > 1 ORDER BY "T1"."Title" DESC | 0.154297 |
CREATE TABLE table_name_29 (date VARCHAR2, place VARCHAR2, race_winners VARCHAR2)
| What date has a place of chernivtsi, and a race winners of etienne bax / kaspars stupelis? What | SELECT date FROM table_name_29 WHERE place = "chernivtsi" AND race_winners = "etienne bax / kaspars stupelis" | SELECT "date" FROM "table_name_29" WHERE "chernivtsi" = "place" AND "etienne bax / kaspars stupelis" = "race_winners" | 0.114258 |
CREATE TABLE table_36601 ("Date" CLOB, "Home Team" CLOB, "Score" CLOB, "Visiting Team" CLOB, "Stadium" CLOB)
| Which home team played on January 5, 2008? | SELECT "Home Team" FROM table_36601 WHERE "Date" = 'january 5, 2008' | SELECT "Home Team" FROM "table_36601" WHERE "Date" = 'january 5, 2008' | 0.068359 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| which type of drug is hydromorphone? | SELECT prescriptions.drug_type FROM prescriptions WHERE prescriptions.drug = "Hydromorphone" | SELECT "prescriptions"."drug_type" FROM "prescriptions" WHERE "Hydromorphone" = "prescriptions"."drug" | 0.099609 |
CREATE TABLE table_71079 ("First game" FLOAT, "Played" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Percentage" CLOB)
| When was the first game associated with over 4 losses? | SELECT "First game" FROM table_71079 WHERE "Lost" > '4' | SELECT "First game" FROM "table_71079" WHERE "Lost" > '4' | 0.055664 |
CREATE TABLE table_69627 ("Year" FLOAT, "Tournament" CLOB, "Venue" CLOB, "Result" CLOB, "Extra" CLOB)
| How many years did the team place 2nd in Auckland, New Zealand? | SELECT COUNT("Year") FROM table_69627 WHERE "Result" = '2nd' AND "Venue" = 'auckland, new zealand' | SELECT COUNT("Year") FROM "table_69627" WHERE "Result" = '2nd' AND "Venue" = 'auckland, new zealand' | 0.097656 |
CREATE TABLE table_name_42 (attendance VARCHAR2, result VARCHAR2)
| How many were in attendance when the result was l 20-17? | SELECT attendance FROM table_name_42 WHERE result = "l 20-17" | SELECT "attendance" FROM "table_name_42" WHERE "l 20-17" = "result" | 0.06543 |
CREATE TABLE table_name_10 (set_4 VARCHAR2, set_5 VARCHAR2, set_3 VARCHAR2)
| What is Set 4, when Set 5 is NA, and when Set 3 is 19-25? | SELECT set_4 FROM table_name_10 WHERE set_5 = "na" AND set_3 = "19-25" | SELECT "set_4" FROM "table_name_10" WHERE "19-25" = "set_3" AND "na" = "set_5" | 0.076172 |
CREATE TABLE table_4281 ("Umpire" CLOB, "Country" CLOB, "Panel" CLOB, "Matches" FLOAT, "WC Matches" FLOAT, "2011 WC" FLOAT)
| who was the umpire when the wc match was 10 | SELECT "Umpire" FROM table_4281 WHERE "WC Matches" = '10' | SELECT "Umpire" FROM "table_4281" WHERE "WC Matches" = '10' | 0.057617 |
CREATE TABLE table_204_905 (id NUMBER, "team" CLOB, "wins" NUMBER, "losses" NUMBER, "win %" NUMBER, "gb" NUMBER)
| which team came in right after the boston red sox ? | SELECT "team" FROM table_204_905 WHERE id = (SELECT id FROM table_204_905 WHERE "team" = 'boston red sox') + 1 | SELECT "team" FROM "table_204_905" WHERE "id" = (SELECT "id" FROM "table_204_905" WHERE "team" = 'boston red sox') + 1 | 0.115234 |
CREATE TABLE table_name_77 (overall NUMBER, executive_appointments VARCHAR2, background VARCHAR2)
| What's the most overall when the executive appointments were 28 and the background was smaller than 37? | SELECT MAX(overall) FROM table_name_77 WHERE executive_appointments = 28 AND background < 37 | SELECT MAX("overall") FROM "table_name_77" WHERE "background" < 37 AND "executive_appointments" = 28 | 0.097656 |
CREATE TABLE table_11859 ("Driver" CLOB, "Constructor" CLOB, "Laps" FLOAT, "Time/Retired" CLOB, "Grid" FLOAT)
| Who built the 21 grid car that retired due to suspension? | SELECT "Constructor" FROM table_11859 WHERE "Grid" > '21' AND "Time/Retired" = 'suspension' | SELECT "Constructor" FROM "table_11859" WHERE "Grid" > '21' AND "Time/Retired" = 'suspension' | 0.09082 |
CREATE TABLE table_name_26 (attendance VARCHAR2, opponent VARCHAR2)
| When Hamilton Academical is the Opponent, what is the total Attendance? | SELECT COUNT(attendance) FROM table_name_26 WHERE opponent = "hamilton academical" | SELECT COUNT("attendance") FROM "table_name_26" WHERE "hamilton academical" = "opponent" | 0.085938 |
CREATE TABLE member (Member_ID NUMBER, Card_Number CLOB, Name CLOB, Hometown CLOB, Level NUMBER)
CREATE TABLE purchase (Member_ID NUMBER, Branch_ID CLOB, Year CLOB, Total_pounds FLOAT)
CREATE TABLE branch (Branch_ID NUMBER, Name CLOB, Open_year CLOB, Address_road CLOB, City CLOB, membership_amount CLOB)
CREATE TABLE membership_register_branch (Member_ID NUMBER, Branch_ID CLOB, Register_Year CLOB)
| Bar chart of the number of hometown from each hometown, order Y-axis in asc order. | SELECT Hometown, COUNT(Hometown) FROM member GROUP BY Hometown ORDER BY COUNT(Hometown) | SELECT "Hometown", COUNT("Hometown") FROM "member" GROUP BY "Hometown" ORDER BY COUNT("Hometown") | 0.094727 |
CREATE TABLE table_77261 ("Rank" FLOAT, "Surname" CLOB, "Number of bearers 2008" FLOAT, "Type" CLOB, "Etymology" CLOB)
| What is Etymology, when Rank is 14? | SELECT "Etymology" FROM table_77261 WHERE "Rank" = '14' | SELECT "Etymology" FROM "table_77261" WHERE "Rank" = '14' | 0.055664 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
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 the number of patients whose marital status is single and procedure long title is single internal mammary-coronary artery bypass? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.marital_status = "SINGLE" AND procedures.long_title = "Single internal mammary-coronary artery bypass" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Single internal mammary-coronary artery bypass" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "SINGLE" = "demographic"."marital_status" | 0.260742 |
CREATE TABLE table_name_75 (bronze VARCHAR2, gold VARCHAR2)
| What's the Bronze that's also got a Godl of Kim Woo-Jin? | SELECT bronze FROM table_name_75 WHERE gold = "kim woo-jin" | SELECT "bronze" FROM "table_name_75" WHERE "gold" = "kim woo-jin" | 0.063477 |
CREATE TABLE table_name_98 (draws NUMBER, wins VARCHAR2, against VARCHAR2)
| What's the lowest number of draws when the wins are less than 15, and against is 1228? | SELECT MIN(draws) FROM table_name_98 WHERE wins < 15 AND against = 1228 | SELECT MIN("draws") FROM "table_name_98" WHERE "against" = 1228 AND "wins" < 15 | 0.077148 |
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description 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 PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE 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 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 ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
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 Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE 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 ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTaskTypes (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)
| User answer score by location & tag, ordered by score.. | SELECT U.Id AS "user_link", U.Location, T.TagName, SUM(A.Score) AS TagScore FROM Users AS U INNER JOIN Posts AS A ON A.OwnerUserId = U.Id AND A.PostTypeId = 2 INNER JOIN Posts AS Q ON Q.Id = A.ParentId AND Q.PostTypeId = 1 INNER JOIN PostTags AS PT ON PT.PostId = Q.Id INNER JOIN Tags AS T ON T.Id = PT.TagId WHERE U.Location LIKE ('%' + '##Location:string?Arkansas##' + '%') COLLATE Modern_Spanish_CI_AS GROUP BY U.Id, U.Location, T.TagName HAVING T.TagName = '##TagName:string?java##' ORDER BY SUM(A.Score) DESC | SELECT "U"."Id" AS "user_link", "U"."Location", "T"."TagName", SUM("A"."Score") AS "TagScore" FROM "Users" "U" JOIN "Posts" "A" ON "A"."OwnerUserId" = "U"."Id" AND "A"."PostTypeId" = 2 JOIN "Posts" "Q" ON "A"."ParentId" = "Q"."Id" AND "Q"."PostTypeId" = 1 JOIN "PostTags" "PT" ON "PT"."PostId" = "Q"."Id" JOIN "Tags" "T" ON "PT"."TagId" = "T"."Id" WHERE "U"."Location" LIKE '%##Location:string?Arkansas##%' COLLATE "Modern_Spanish_CI_AS" GROUP BY "U"."Id", "U"."Location", "T"."TagName" HAVING "T"."TagName" = '##TagName:string?java##' ORDER BY SUM("A"."Score") DESC | 0.552734 |
CREATE TABLE table_name_72 (team VARCHAR2, car_no VARCHAR2)
| Which team had car number 15? | SELECT team FROM table_name_72 WHERE car_no = "15" | SELECT "team" FROM "table_name_72" WHERE "15" = "car_no" | 0.054688 |
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost 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 prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_icd_procedures (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 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 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 labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
| how many patients had been diagnosed with hydroureter until 2 years ago? | SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE admissions.hadm_id IN (SELECT diagnoses_icd.hadm_id FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'hydroureter') AND DATETIME(diagnoses_icd.charttime) <= DATETIME(CURRENT_TIME(), '-2 year')) | WITH "_u_1" AS (SELECT "diagnoses_icd"."hadm_id" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'hydroureter' WHERE DATETIME("diagnoses_icd"."charttime") <= DATETIME(CURRENT_TIME(), '-2 year') GROUP BY "hadm_id") SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "admissions" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "admissions"."hadm_id" WHERE NOT "_u_1"."" IS NULL | 0.456055 |
CREATE TABLE table_46983 ("Position" FLOAT, "Pilot" CLOB, "Glider" CLOB, "Speed" CLOB, "Distance" CLOB)
| What is Glider, when Speed is '147.3km/h'? | SELECT "Glider" FROM table_46983 WHERE "Speed" = '147.3km/h' | SELECT "Glider" FROM "table_46983" WHERE "Speed" = '147.3km/h' | 0.060547 |
CREATE TABLE table_58551 ("Tournament" CLOB, "2009" CLOB, "2011" CLOB, "2012" CLOB, "2013" CLOB)
| Name the 2012 for 2009 of 1r | SELECT "2012" FROM table_58551 WHERE "2009" = '1r' | SELECT "2012" FROM "table_58551" WHERE "2009" = '1r' | 0.050781 |
CREATE TABLE table_25730123_2 (player VARCHAR2, extra_points VARCHAR2, points VARCHAR2)
| Name the player/s when there were 20 points with less than 1.0 extra point . | SELECT player FROM table_25730123_2 WHERE extra_points < 1.0 AND points = 20 | SELECT "player" FROM "table_25730123_2" WHERE "extra_points" < 1.0 AND "points" = 20 | 0.082031 |
CREATE TABLE table_64318 ("Round" CLOB, "Date" CLOB, "Opponent" CLOB, "Venue" CLOB, "Result" CLOB, "Attendance" CLOB, "Report" CLOB)
| Who was the opponent with an attendance of 628? | SELECT "Opponent" FROM table_64318 WHERE "Attendance" = '628' | SELECT "Opponent" FROM "table_64318" WHERE "Attendance" = '628' | 0.061523 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE 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)
| Provide the list of patients less than 85 years of age who are administered drugs via neb route. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "85" AND prescriptions.route = "NEB" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "NEB" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "85" > "demographic"."age" | 0.208008 |
CREATE TABLE table_65453 ("Lane" FLOAT, "Name" CLOB, "Nationality" CLOB, "React" FLOAT, "Time" FLOAT)
| Name the average React of the Time smaller than 20.05 in jamaica with a Lane larger than 5? | SELECT AVG("React") FROM table_65453 WHERE "Time" < '20.05' AND "Nationality" = 'jamaica' AND "Lane" > '5' | SELECT AVG("React") FROM "table_65453" WHERE "Lane" > '5' AND "Nationality" = 'jamaica' AND "Time" < '20.05' | 0.105469 |
CREATE TABLE table_28192 ("Metropolitan ring" CLOB, "Localities" FLOAT, "Total" FLOAT, "Jews and others 1" FLOAT, "Thereof: Jews" FLOAT, "Arabs" FLOAT, "Population density ( per km\\u00b2 ) " CLOB, "Annual Population growth rate" CLOB)
| What is the lowest jews and others 1 for the localities 11? | SELECT MIN("Jews and others 1") FROM table_28192 WHERE "Localities" = '11' | SELECT MIN("Jews and others 1") FROM "table_28192" WHERE "Localities" = '11' | 0.074219 |
CREATE TABLE table_2562572_2 (population__2011_ VARCHAR2, cyrillic_name VARCHAR2)
| How many 2011 populations have a Cyrillic name of ? | SELECT COUNT(population__2011_) FROM table_2562572_2 WHERE cyrillic_name = "Футог" | SELECT COUNT("population__2011_") FROM "table_2562572_2" WHERE "cyrillic_name" = "Футог" | 0.085938 |
CREATE TABLE table_61859 ("Opposing Teams" CLOB, "Against" FLOAT, "Date" CLOB, "Venue" CLOB, "Status" CLOB)
| WHICH Date has a Venue of lancaster park , christchurch? | SELECT "Date" FROM table_61859 WHERE "Venue" = 'lancaster park , christchurch' | SELECT "Date" FROM "table_61859" WHERE "Venue" = 'lancaster park , christchurch' | 0.078125 |
CREATE TABLE table_19320 ("Rank" FLOAT, "Name" CLOB, "Nationality" CLOB, "1st ( m ) " CLOB, "2nd ( m ) " CLOB, "Points" CLOB, "Overall NT points" CLOB, "Overall WC points ( Rank ) " CLOB)
| Name the total number of 1stm when 2nd m is 125.5 | SELECT COUNT("1st (m)") FROM table_19320 WHERE "2nd (m)" = '125.5' | SELECT COUNT("1st (m)") FROM "table_19320" WHERE "2nd (m)" = '125.5' | 0.066406 |
CREATE TABLE table_67194 ("Round" FLOAT, "Pick #" FLOAT, "Overall" FLOAT, "Name" CLOB, "Position" CLOB, "College" CLOB)
| what is the highest round for anthony gonzalez? | SELECT MAX("Round") FROM table_67194 WHERE "Name" = 'anthony gonzalez' | SELECT MAX("Round") FROM "table_67194" WHERE "Name" = 'anthony gonzalez' | 0.070313 |
CREATE TABLE table_55530 ("Month" CLOB, "Week" FLOAT, "Overall" CLOB, "Offensive" CLOB, "Defensive" CLOB, "Transition" CLOB, "Rookie" CLOB)
| Who played as overall when Josh Sims was transition? | SELECT "Overall" FROM table_55530 WHERE "Transition" = 'josh sims' | SELECT "Overall" FROM "table_55530" WHERE "Transition" = 'josh sims' | 0.066406 |
CREATE TABLE table_56174 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| If the home team scored 6.7 (43), what was the away teams score? | SELECT "Away team score" FROM table_56174 WHERE "Home team score" = '6.7 (43)' | SELECT "Away team score" FROM "table_56174" WHERE "Home team score" = '6.7 (43)' | 0.078125 |
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
| For those records from the products and each product's manufacturer, return a bar chart about the distribution of name and the sum of code , and group by attribute name, and could you rank from low to high by the X-axis? | SELECT T2.Name, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name ORDER BY T2.Name | SELECT "T2"."Name", "T1"."Code" FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T2"."Name" ORDER BY "T2"."Name" | 0.15332 |
CREATE TABLE table_16278602_1 (seat_of_administration VARCHAR2, largest_city VARCHAR2)
| In the region where Roskilde is the largest city, what is the seat of administration? | SELECT seat_of_administration FROM table_16278602_1 WHERE largest_city = "Roskilde" | SELECT "seat_of_administration" FROM "table_16278602_1" WHERE "Roskilde" = "largest_city" | 0.086914 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
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)
| count the number of patients with procedure icd9 code 17 who were admitted before 2145. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admityear < "2145" AND procedures.icd9_code = "17" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "17" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "2145" > "demographic"."admityear" | 0.209961 |
CREATE TABLE membership_register_branch (branch_id VARCHAR2, member_id VARCHAR2, register_year VARCHAR2)
CREATE TABLE member (name VARCHAR2, member_id VARCHAR2)
CREATE TABLE branch (name VARCHAR2, branch_id VARCHAR2)
| Show all member names and registered branch names sorted by register year. | SELECT T3.name, T2.name FROM membership_register_branch AS T1 JOIN branch AS T2 ON T1.branch_id = T2.branch_id JOIN member AS T3 ON T1.member_id = T3.member_id ORDER BY T1.register_year | SELECT "T3"."name", "T2"."name" FROM "membership_register_branch" "T1" JOIN "branch" "T2" ON "T1"."branch_id" = "T2"."branch_id" JOIN "member" "T3" ON "T1"."member_id" = "T3"."member_id" ORDER BY "T1"."register_year" | 0.210938 |
CREATE TABLE table_name_15 (time VARCHAR2, nationality VARCHAR2, lane VARCHAR2)
| What was the 200-metre time for the swimmer from Slovenia in lane 9? | SELECT COUNT(time) FROM table_name_15 WHERE nationality = "slovenia" AND lane < 9 | SELECT COUNT("time") FROM "table_name_15" WHERE "lane" < 9 AND "nationality" = "slovenia" | 0.086914 |
CREATE TABLE table_25753 ("Position" FLOAT, "Driver" CLOB, "Points" FLOAT, "Starts" FLOAT, "Wins" FLOAT, "Top 5s" FLOAT, "Top 10s" FLOAT, "Winnings ( $ ) " FLOAT)
| What are the winnings for position 7? | SELECT MAX("Winnings ($)") FROM table_25753 WHERE "Position" = '7' | SELECT MAX("Winnings ($)") FROM "table_25753" WHERE "Position" = '7' | 0.066406 |
CREATE TABLE table_name_24 (current_map VARCHAR2, name VARCHAR2)
| What is the current map designation for Debussy? | SELECT current_map FROM table_name_24 WHERE name = "debussy" | SELECT "current_map" FROM "table_name_24" WHERE "debussy" = "name" | 0.064453 |
CREATE TABLE Research_Staff (staff_id NUMBER, employer_organisation_id NUMBER, staff_details VARCHAR2)
CREATE TABLE Document_Types (document_type_code VARCHAR2, document_description VARCHAR2)
CREATE TABLE Research_Outcomes (outcome_code VARCHAR2, outcome_description VARCHAR2)
CREATE TABLE Staff_Roles (role_code VARCHAR2, role_description VARCHAR2)
CREATE TABLE Project_Staff (staff_id DOUBLE PRECISION, project_id NUMBER, role_code VARCHAR2, date_from DATETIME, date_to DATETIME, other_details VARCHAR2)
CREATE TABLE Grants (grant_id NUMBER, organisation_id NUMBER, grant_amount NUMBER, grant_start_date DATETIME, grant_end_date DATETIME, other_details VARCHAR2)
CREATE TABLE Project_Outcomes (project_id NUMBER, outcome_code VARCHAR2, outcome_details VARCHAR2)
CREATE TABLE Tasks (task_id NUMBER, project_id NUMBER, task_details VARCHAR2, "eg Agree Objectives" VARCHAR2)
CREATE TABLE Organisation_Types (organisation_type VARCHAR2, organisation_type_description VARCHAR2)
CREATE TABLE Organisations (organisation_id NUMBER, organisation_type VARCHAR2, organisation_details VARCHAR2)
CREATE TABLE Projects (project_id NUMBER, organisation_id NUMBER, project_details VARCHAR2)
CREATE TABLE Documents (document_id NUMBER, document_type_code VARCHAR2, grant_id NUMBER, sent_date DATETIME, response_received_date DATETIME, other_details VARCHAR2)
| For all organizations that have grants of more than 6000 dollars, compare the number of details of the organizations with a bar chart, and I want to list by the bar in desc. | SELECT organisation_details, COUNT(organisation_details) FROM Grants AS T1 JOIN Organisations AS T2 ON T1.organisation_id = T2.organisation_id GROUP BY organisation_details ORDER BY organisation_details DESC | SELECT "organisation_details", COUNT("organisation_details") FROM "Grants" "T1" JOIN "Organisations" "T2" ON "T1"."organisation_id" = "T2"."organisation_id" GROUP BY "organisation_details" ORDER BY "organisation_details" DESC | 0.219727 |
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 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 minimum age of patients whose marital status is divorced and admission type is elective? | SELECT MIN(demographic.age) FROM demographic WHERE demographic.marital_status = "DIVORCED" AND demographic.admission_type = "ELECTIVE" | SELECT MIN("demographic"."age") FROM "demographic" WHERE "DIVORCED" = "demographic"."marital_status" AND "ELECTIVE" = "demographic"."admission_type" | 0.144531 |
CREATE TABLE table_name_38 (playoffs VARCHAR2, reg_season VARCHAR2)
| What was the Rampage's result in the playoffs in the year that their regular season resulted in 4th, central? | SELECT playoffs FROM table_name_38 WHERE reg_season = "4th, central" | SELECT "playoffs" FROM "table_name_38" WHERE "4th, central" = "reg_season" | 0.072266 |
CREATE TABLE election (Election_ID NUMBER, Representative_ID NUMBER, Date CLOB, Votes FLOAT, Vote_Percent FLOAT, Seats FLOAT, Place FLOAT)
CREATE TABLE representative (Representative_ID NUMBER, Name CLOB, State CLOB, Party CLOB, Lifespan CLOB)
| Give me a histogram for what are the different parties of representative? Show the party name and the number of representatives in each party. | SELECT Party, COUNT(*) FROM representative GROUP BY Party | SELECT "Party", COUNT(*) FROM "representative" GROUP BY "Party" | 0.061523 |
CREATE TABLE table_6115 ("Name" CLOB, "Birth" CLOB, "Marriage" CLOB, "Became Queen" CLOB, "Ceased to be Queen" CLOB, "Death" CLOB, "Spouse" CLOB)
| How is the marriage of who became queen on 30 October 1816 husband's accession? | SELECT "Marriage" FROM table_6115 WHERE "Became Queen" = '30 october 1816 husband''s accession' | SELECT "Marriage" FROM "table_6115" WHERE "Became Queen" = '30 october 1816 husband''s accession' | 0.094727 |
CREATE TABLE table_name_42 (total_atms NUMBER, bank_type VARCHAR2, on_site_atms VARCHAR2)
| What is the minimum total ATMs with new private sector banks as the bank type, and the on-site ATMs are greater than 1883? | SELECT MIN(total_atms) FROM table_name_42 WHERE bank_type = "new private sector banks" AND on_site_atms > 1883 | SELECT MIN("total_atms") FROM "table_name_42" WHERE "bank_type" = "new private sector banks" AND "on_site_atms" > 1883 | 0.115234 |
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE 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 diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
| how many patients in this year were prescribed promethazine hcl 25 mg/ml ij soln in the same hospital visit after having undergone bronchodilator? | SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, treatment.treatmenttime, patient.patienthealthsystemstayid FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'bronchodilator' AND DATETIME(treatment.treatmenttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) AS t1 JOIN (SELECT patient.uniquepid, medication.drugstarttime, patient.patienthealthsystemstayid FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE medication.drugname = 'promethazine hcl 25 mg/ml ij soln' AND DATETIME(medication.drugstarttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) AS t2 WHERE t1.treatmenttime < t2.drugstarttime AND t1.patienthealthsystemstayid = t2.patienthealthsystemstayid | WITH "t2" AS (SELECT "medication"."drugstarttime", "patient"."patienthealthsystemstayid" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" WHERE "medication"."drugname" = 'promethazine hcl 25 mg/ml ij soln' AND DATETIME("medication"."drugstarttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "treatment" JOIN "patient" ON "patient"."patientunitstayid" = "treatment"."patientunitstayid" JOIN "t2" "t2" ON "patient"."patienthealthsystemstayid" = "t2"."patienthealthsystemstayid" AND "t2"."drugstarttime" > "treatment"."treatmenttime" WHERE "treatment"."treatmentname" = 'bronchodilator' AND DATETIME("treatment"."treatmenttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') | 0.810547 |
CREATE TABLE table_name_60 (upstream_rate VARCHAR2, version VARCHAR2, standard_name VARCHAR2)
| What's the upstream rate for Itu g.992.2 with a version of ADSL? | SELECT upstream_rate FROM table_name_60 WHERE version = "adsl" AND standard_name = "itu g.992.2" | SELECT "upstream_rate" FROM "table_name_60" WHERE "adsl" = "version" AND "itu g.992.2" = "standard_name" | 0.101563 |
CREATE TABLE table_name_74 (position NUMBER, points_1 VARCHAR2, drawn VARCHAR2)
| What is the lowest position with points 1 of 27 2 and fewer than 9 drawn? | SELECT MIN(position) FROM table_name_74 WHERE points_1 = "27 2" AND drawn < 9 | SELECT MIN("position") FROM "table_name_74" WHERE "27 2" = "points_1" AND "drawn" < 9 | 0.083008 |
CREATE TABLE table_29191 ("Rank" FLOAT, "Rider" CLOB, "Sat 21 Aug" CLOB, "Mon 23 Aug" CLOB, "Tues 24 Aug" CLOB, "Wed 25 Aug" CLOB, "Thurs 26 Aug" CLOB, "Fri 27 Aug" CLOB, "Sat 29 Aug" CLOB)
| When 21' 10.25 106.930mph is Tuesday August 24th what is Saturday August 29th? | SELECT "Sat 29 Aug" FROM table_29191 WHERE "Tues 24 Aug" = '21'' 10.25 106.930mph' | SELECT "Sat 29 Aug" FROM "table_29191" WHERE "Tues 24 Aug" = '21'' 10.25 106.930mph' | 0.082031 |
CREATE TABLE table_11586 ("Name" CLOB, "Election Year" FLOAT, "Party" CLOB, "Birth State" CLOB, "Resident State" CLOB)
| What is the election year of the president with a Birth State of lost connecticut? | SELECT AVG("Election Year") FROM table_11586 WHERE "Birth State" = 'lost connecticut' | SELECT AVG("Election Year") FROM "table_11586" WHERE "Birth State" = 'lost connecticut' | 0.084961 |
CREATE TABLE table_203_476 (id NUMBER, "no." NUMBER, "title ( latin ) " CLOB, "title ( english translation ) " CLOB, "subject" CLOB, "date" CLOB)
| what is the total number of encyclicals to take place in december ? | SELECT COUNT("title (latin)") FROM table_203_476 WHERE "date" = 12 | SELECT COUNT("title (latin)") FROM "table_203_476" WHERE "date" = 12 | 0.066406 |
CREATE TABLE author (authorid NUMBER, authorname VARCHAR2)
CREATE TABLE writes (paperid NUMBER, authorid NUMBER)
CREATE TABLE cite (citingpaperid NUMBER, citedpaperid NUMBER)
CREATE TABLE journal (journalid NUMBER, journalname VARCHAR2)
CREATE TABLE keyphrase (keyphraseid NUMBER, keyphrasename VARCHAR2)
CREATE TABLE dataset (datasetid NUMBER, datasetname VARCHAR2)
CREATE TABLE venue (venueid NUMBER, venuename VARCHAR2)
CREATE TABLE field (fieldid NUMBER)
CREATE TABLE paperdataset (paperid NUMBER, datasetid NUMBER)
CREATE TABLE paper (paperid NUMBER, title VARCHAR2, venueid NUMBER, year NUMBER, numciting NUMBER, numcitedby NUMBER, journalid NUMBER)
CREATE TABLE paperkeyphrase (paperid NUMBER, keyphraseid NUMBER)
CREATE TABLE paperfield (fieldid NUMBER, paperid NUMBER)
| What years did alvin cheung publish papers in ? | SELECT DISTINCT paper.year FROM author, paper, writes WHERE author.authorname = 'alvin cheung' AND writes.authorid = author.authorid AND writes.paperid = paper.paperid GROUP BY paper.year | SELECT DISTINCT "paper"."year" FROM "author" JOIN "writes" ON "author"."authorid" = "writes"."authorid" JOIN "paper" ON "paper"."paperid" = "writes"."paperid" WHERE "author"."authorname" = 'alvin cheung' GROUP BY "paper"."year" | 0.22168 |
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE 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 food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight 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 code_description (code VARCHAR2, description CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id 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 time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
| i need to fly from DENVER to SAN FRANCISCO tuesday | 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 = 'SAN FRANCISCO' AND date_day.day_number = 22 AND date_day.month_number = 3 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 = 'DENVER' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 22 AND "date_day"."month_number" = 3 AND "date_day"."year" = 1991 JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'DENVER' 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" 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" = 'SAN FRANCISCO' | 0.698242 |
CREATE TABLE table_29504351_2 (money_list_rank NUMBER, player VARCHAR2)
| What is the money list rank for player Doug Barron? | SELECT MAX(money_list_rank) FROM table_29504351_2 WHERE player = "Doug Barron" | SELECT MAX("money_list_rank") FROM "table_29504351_2" WHERE "Doug Barron" = "player" | 0.082031 |
CREATE TABLE table_27008 ("Artist/Band" CLOB, "Song" CLOB, "Disney affiliated" CLOB, "Released" FLOAT, "US exclusive" CLOB, "EU exclusive" CLOB)
| Name the us exclusive for miley cyrus | SELECT "US exclusive" FROM table_27008 WHERE "Artist/Band" = 'Miley Cyrus' | SELECT "US exclusive" FROM "table_27008" WHERE "Artist/Band" = 'Miley Cyrus' | 0.074219 |
CREATE TABLE table_name_88 (opponent VARCHAR2, time__et_ VARCHAR2, week VARCHAR2, game_site VARCHAR2)
| Who did they play at lincoln financial field at 8:30 (ET) after week 14? | SELECT opponent FROM table_name_88 WHERE week > 14 AND game_site = "lincoln financial field" AND time__et_ = "8:30" | SELECT "opponent" FROM "table_name_88" WHERE "8:30" = "time__et_" AND "game_site" = "lincoln financial field" AND "week" > 14 | 0.12207 |
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