schema
stringlengths 29
5.42k
| question
stringlengths 0
752
| rejected
stringlengths 2
4.44k
| chosen
stringlengths 4
8.94k
| weight
float64 0
8.73
|
|---|---|---|---|---|
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
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 who do not work in departments with managers that have ids between 100 and 200, give me the comparison about commission_pct over the last_name by a bar chart, and order bars in desc order. | SELECT LAST_NAME, COMMISSION_PCT FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY LAST_NAME DESC | SELECT "LAST_NAME", "COMMISSION_PCT" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "LAST_NAME" DESC | 0.197266 |
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
| when did patient 031-24513 last receive a ultrasonography - abdomen, until 2104? | SELECT treatment.treatmenttime FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-24513')) AND treatment.treatmentname = 'ultrasonography - abdomen' AND STRFTIME('%y', treatment.treatmenttime) <= '2104' ORDER BY treatment.treatmenttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '031-24513' 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 "treatment"."treatmenttime" FROM "treatment" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "treatment"."patientunitstayid" WHERE "treatment"."treatmentname" = 'ultrasonography - abdomen' AND NOT "_u_1"."" IS NULL AND STRFTIME('%y', "treatment"."treatmenttime") <= '2104' ORDER BY "treatment"."treatmenttime" DESC FETCH FIRST 1 ROWS ONLY | 0.674805 |
CREATE TABLE table_78633 ("Year" FLOAT, "Winner" CLOB, "Sport" CLOB, "Hometown" CLOB, "College" CLOB)
| What is Hometown, when Sport is 'Basketball', and when Winner is 'Dwight Howard'? | SELECT "Hometown" FROM table_78633 WHERE "Sport" = 'basketball' AND "Winner" = 'dwight howard' | SELECT "Hometown" FROM "table_78633" WHERE "Sport" = 'basketball' AND "Winner" = 'dwight howard' | 0.09375 |
CREATE TABLE table_14066 ("Rank" FLOAT, "Athlete" CLOB, "Country" CLOB, "Time" CLOB, "Notes" CLOB)
| What time does Belgium have? | SELECT "Time" FROM table_14066 WHERE "Country" = 'belgium' | SELECT "Time" FROM "table_14066" WHERE "Country" = 'belgium' | 0.058594 |
CREATE TABLE table_name_65 (round NUMBER, nationality VARCHAR2, overall VARCHAR2)
| What is the total round with an overall of 199 with sweden? | SELECT SUM(round) FROM table_name_65 WHERE nationality = "sweden" AND overall = 199 | SELECT SUM("round") FROM "table_name_65" WHERE "nationality" = "sweden" AND "overall" = 199 | 0.088867 |
CREATE TABLE table_name_8 (height_of_bridge_structure VARCHAR2, opened VARCHAR2, name VARCHAR2)
| How tall is the Anqing Bridge which opened prior to 2011? | SELECT height_of_bridge_structure FROM table_name_8 WHERE opened < 2011 AND name = "anqing bridge" | SELECT "height_of_bridge_structure" FROM "table_name_8" WHERE "anqing bridge" = "name" AND "opened" < 2011 | 0.103516 |
CREATE TABLE table_61956 ("President" CLOB, "Treasurer" CLOB, "Secretary" CLOB, "Social AO" CLOB, "Academic AO" CLOB, "Internal CO" CLOB, "External CO" CLOB)
| What Secretary has a Social AO of lieke de boer? | SELECT "Secretary" FROM table_61956 WHERE "Social AO" = 'lieke de boer' | SELECT "Secretary" FROM "table_61956" WHERE "Social AO" = 'lieke de boer' | 0.071289 |
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type 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 state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE 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 class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE 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 month (month_number NUMBER, month_name CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
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 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 restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
| find the earliest BREAKFAST flight from BOSTON to OAKLAND | 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, flight, food_service WHERE ((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'OAKLAND' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code AND food_service.meal_code = flight.meal_code AND food_service.meal_description = 'BREAKFAST') AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.departure_time = (SELECT MIN(FLIGHTalias1.departure_time) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, flight AS FLIGHTalias1, food_service AS FOOD_SERVICEalias1 WHERE (CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'OAKLAND' AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code AND FOOD_SERVICEalias1.meal_code = FLIGHTalias1.meal_code AND FOOD_SERVICEalias1.meal_description = 'BREAKFAST') AND CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'BOSTON' AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code) | WITH "_u_0" AS (SELECT MIN("FLIGHTalias1"."departure_time") FROM "airport_service" "AIRPORT_SERVICEalias2" JOIN "city" "CITYalias2" ON "AIRPORT_SERVICEalias2"."city_code" = "CITYalias2"."city_code" AND "CITYalias2"."city_name" = 'BOSTON' JOIN "flight" "FLIGHTalias1" ON "AIRPORT_SERVICEalias2"."airport_code" = "FLIGHTalias1"."from_airport" JOIN "airport_service" "AIRPORT_SERVICEalias3" ON "AIRPORT_SERVICEalias3"."airport_code" = "FLIGHTalias1"."to_airport" JOIN "food_service" "FOOD_SERVICEalias1" ON "FLIGHTalias1"."meal_code" = "FOOD_SERVICEalias1"."meal_code" AND "FOOD_SERVICEalias1"."meal_description" = 'BREAKFAST' JOIN "city" "CITYalias3" ON "AIRPORT_SERVICEalias3"."city_code" = "CITYalias3"."city_code" AND "CITYalias3"."city_name" = 'OAKLAND') SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'BOSTON' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "_u_0" "_u_0" ON "_u_0"."" = "flight"."departure_time" JOIN "food_service" ON "flight"."meal_code" = "food_service"."meal_code" AND "food_service"."meal_description" = 'BREAKFAST' JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'OAKLAND' | 1.401367 |
CREATE TABLE table_name_43 (fa_cup NUMBER, total VARCHAR2, championship VARCHAR2)
| What is the highest value for FA cups, that has a total of 0 4, with less than 4 championships? | SELECT MAX(fa_cup) FROM table_name_43 WHERE total = "0 4" AND championship < 4 | SELECT MAX("fa_cup") FROM "table_name_43" WHERE "0 4" = "total" AND "championship" < 4 | 0.083984 |
CREATE TABLE table_17416221_1 (largest_city VARCHAR2, province VARCHAR2)
| what is the largest city where the province is eastern cape? | SELECT largest_city FROM table_17416221_1 WHERE province = "Eastern Cape" | SELECT "largest_city" FROM "table_17416221_1" WHERE "Eastern Cape" = "province" | 0.077148 |
CREATE TABLE table_name_93 (top_10 NUMBER, cuts_made VARCHAR2, wins VARCHAR2)
| What is the average Top-10 when there were 17 cuts made with less than 0 wins? | SELECT AVG(top_10) FROM table_name_93 WHERE cuts_made = 17 AND wins < 0 | SELECT AVG("top_10") FROM "table_name_93" WHERE "cuts_made" = 17 AND "wins" < 0 | 0.077148 |
CREATE TABLE table_74561 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "TV Time" CLOB, "Attendance" CLOB)
| Tell me the opponent for november 24, 1996 | SELECT "Opponent" FROM table_74561 WHERE "Date" = 'november 24, 1996' | SELECT "Opponent" FROM "table_74561" WHERE "Date" = 'november 24, 1996' | 0.069336 |
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 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)
| how many patients admitted in emergency had lab test named wbg, pleural? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND lab.label = "WBC, Pleural" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "WBC, Pleural" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "EMERGENCY" = "demographic"."admission_type" | 0.205078 |
CREATE TABLE table_name_83 (school_club_team VARCHAR2, pick VARCHAR2)
| Which school of club team has a pick of 46? | SELECT school_club_team FROM table_name_83 WHERE pick = 46 | SELECT "school_club_team" FROM "table_name_83" WHERE "pick" = 46 | 0.0625 |
CREATE TABLE table_204_920 (id NUMBER, "goal" NUMBER, "date" CLOB, "location" CLOB, "opponent" CLOB, "lineup" CLOB, "min" NUMBER, "assist/pass" CLOB, "score" CLOB, "result" CLOB, "competition" CLOB)
| how many total goals were scored against nigeria ? | SELECT COUNT("goal") FROM table_204_920 WHERE "opponent" = 'nigeria' | SELECT COUNT("goal") FROM "table_204_920" WHERE "opponent" = 'nigeria' | 0.068359 |
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
| For those employees who was hired before 2002-06-21, a bar chart shows the distribution of job_id and the sum of manager_id , and group by attribute job_id, and display from high to low by the y axis. | SELECT JOB_ID, SUM(MANAGER_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' GROUP BY JOB_ID ORDER BY SUM(MANAGER_ID) DESC | SELECT "JOB_ID", SUM("MANAGER_ID") FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' GROUP BY "JOB_ID" ORDER BY SUM("MANAGER_ID") DESC | 0.130859 |
CREATE TABLE table_name_47 (position VARCHAR2, team_performance VARCHAR2, team_defense_rank VARCHAR2, year VARCHAR2)
| What was the position of the player whose team lost super bowl xxv before 1992, with a team defense rank larger than 3? | SELECT position FROM table_name_47 WHERE team_defense_rank > 3 AND year < 1992 AND team_performance = "lost super bowl xxv" | SELECT "position" FROM "table_name_47" WHERE "lost super bowl xxv" = "team_performance" AND "team_defense_rank" > 3 AND "year" < 1992 | 0.129883 |
CREATE TABLE table_name_15 (record VARCHAR2, date VARCHAR2)
| What was the Record on the Date May 8? | SELECT record FROM table_name_15 WHERE date = "may 8" | SELECT "record" FROM "table_name_15" WHERE "date" = "may 8" | 0.057617 |
CREATE TABLE table_49343 ("Municipalities of the city" CLOB, "Area km\\u00b2" CLOB, "Population censo 2007 ( hab ) " CLOB, "Population under 1 year-old Censo 2007 ( hab ) " CLOB, "Households ( 2007 ) " CLOB, "Density ( hab/ km\\u00b2 ) " CLOB, "Elevation msnm" CLOB)
| What is the density (hab/km ) with a population censo 2007(hab) of 336.293*? | SELECT "Density (hab/ km\u00b2 )" FROM table_49343 WHERE "Population censo 2007(hab)" = '336.293*' | SELECT "Density (hab/ km\u00b2 )" FROM "table_49343" WHERE "Population censo 2007(hab)" = '336.293*' | 0.097656 |
CREATE TABLE table_105344_2 (seat_factor VARCHAR2, year VARCHAR2)
| What percentage of seats were filled in 2006? | SELECT seat_factor FROM table_105344_2 WHERE year = 2006 | SELECT "seat_factor" FROM "table_105344_2" WHERE "year" = 2006 | 0.060547 |
CREATE TABLE table_54666 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What is the away team score at victoria park? | SELECT "Away team score" FROM table_54666 WHERE "Venue" = 'victoria park' | SELECT "Away team score" FROM "table_54666" WHERE "Venue" = 'victoria park' | 0.073242 |
CREATE TABLE table_204_794 (id NUMBER, "iec\ world plugs\ Type" CLOB, "standard" CLOB, "power\ rating" CLOB, "earthed" CLOB, "polarised" CLOB, "fused" CLOB, "insulated\ pins" CLOB, "europlug\ compatible" CLOB)
| which power rating is previous to type d | SELECT "power\nrating" FROM table_204_794 WHERE id = (SELECT id FROM table_204_794 WHERE "iec\nworld plugs\nType" = 'd') - 1 | SELECT "power\nrating" FROM "table_204_794" WHERE "id" = (SELECT "id" FROM "table_204_794" WHERE "iec\nworld plugs\nType" = 'd') - 1 | 0.128906 |
CREATE TABLE table_18533 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" FLOAT, "Result" CLOB, "Candidates" CLOB)
| Who is the candidate wehre district is louisiana 1? | SELECT "Candidates" FROM table_18533 WHERE "District" = 'Louisiana 1' | SELECT "Candidates" FROM "table_18533" WHERE "District" = 'Louisiana 1' | 0.069336 |
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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime 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 transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
| what are the four most common intakes since 6 years ago? | SELECT d_items.label FROM d_items WHERE d_items.itemid IN (SELECT t1.itemid FROM (SELECT inputevents_cv.itemid, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM inputevents_cv WHERE DATETIME(inputevents_cv.charttime) >= DATETIME(CURRENT_TIME(), '-6 year') GROUP BY inputevents_cv.itemid) AS t1 WHERE t1.c1 <= 4) | WITH "t1" AS (SELECT "inputevents_cv"."itemid", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "inputevents_cv" WHERE DATETIME("inputevents_cv"."charttime") >= DATETIME(CURRENT_TIME(), '-6 year') GROUP BY "inputevents_cv"."itemid"), "_u_0" AS (SELECT "t1"."itemid" FROM "t1" "t1" WHERE "t1"."c1" <= 4 GROUP BY "itemid") SELECT "d_items"."label" FROM "d_items" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "d_items"."itemid" WHERE NOT "_u_0"."" IS NULL | 0.443359 |
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_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 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 flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare 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 flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE 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 city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
| please find a flight from ONTARIO to WESTCHESTER COUNTY that makes a stop in CHICAGO on 5 17 one way with DINNER | SELECT DISTINCT flight_id FROM flight WHERE (((((flight_days IN (SELECT DAYSalias0.days_code FROM days AS DAYSalias0 WHERE DAYSalias0.day_name IN (SELECT DATE_DAYalias0.day_name FROM date_day AS DATE_DAYalias0 WHERE DATE_DAYalias0.day_number = 17 AND DATE_DAYalias0.month_number = 5 AND DATE_DAYalias0.year = 1991)) AND flight_id IN (SELECT FLIGHT_FAREalias0.flight_id FROM flight_fare AS FLIGHT_FAREalias0 WHERE FLIGHT_FAREalias0.fare_id IN (SELECT FAREalias0.fare_id FROM fare AS FAREalias0 WHERE (FAREalias0.fare_basis_code IN (SELECT FARE_BASISalias0.fare_basis_code FROM fare_basis AS FARE_BASISalias0 WHERE FARE_BASISalias0.basis_days IN (SELECT DAYSalias1.days_code FROM days AS DAYSalias1 WHERE DAYSalias1.day_name IN (SELECT DATE_DAYalias1.day_name FROM date_day AS DATE_DAYalias1 WHERE DATE_DAYalias1.day_number = 17 AND DATE_DAYalias1.month_number = 5 AND DATE_DAYalias1.year = 1991))) AND FAREalias0.round_trip_required = 'NO')))) AND meal_code IN (SELECT FOOD_SERVICEalias0.meal_code FROM food_service AS FOOD_SERVICEalias0 WHERE FOOD_SERVICEalias0.meal_description = 'DINNER')) AND flight_id IN (SELECT FLIGHT_STOPalias0.flight_id FROM flight_stop AS FLIGHT_STOPalias0 WHERE FLIGHT_STOPalias0.stop_airport IN (SELECT AIRPORT_SERVICEalias2.airport_code FROM airport_service AS AIRPORT_SERVICEalias2 WHERE AIRPORT_SERVICEalias2.city_code IN (SELECT CITYalias2.city_code FROM city AS CITYalias2 WHERE CITYalias2.city_name = 'CHICAGO')))) AND to_airport IN (SELECT AIRPORT_SERVICEalias1.airport_code FROM airport_service AS AIRPORT_SERVICEalias1 WHERE AIRPORT_SERVICEalias1.city_code IN (SELECT CITYalias1.city_code FROM city AS CITYalias1 WHERE CITYalias1.city_name = 'WESTCHESTER COUNTY'))) AND from_airport IN (SELECT AIRPORT_SERVICEalias0.airport_code FROM airport_service AS AIRPORT_SERVICEalias0 WHERE AIRPORT_SERVICEalias0.city_code IN (SELECT CITYalias0.city_code FROM city AS CITYalias0 WHERE CITYalias0.city_name = 'ONTARIO'))) | WITH "_u_0" AS (SELECT "DATE_DAYalias0"."day_name" FROM "date_day" "DATE_DAYalias0" WHERE "DATE_DAYalias0"."day_number" = 17 AND "DATE_DAYalias0"."month_number" = 5 AND "DATE_DAYalias0"."year" = 1991 GROUP BY "day_name"), "_u_1" AS (SELECT "DAYSalias0"."days_code" FROM "days" "DAYSalias0" LEFT JOIN "_u_0" "_u_0" ON "DAYSalias0"."day_name" = "_u_0"."" WHERE NOT "_u_0"."" IS NULL GROUP BY "days_code"), "_u_8" AS (SELECT "CITYalias2"."city_code" FROM "city" "CITYalias2" WHERE "CITYalias2"."city_name" = 'CHICAGO' GROUP BY "city_code"), "_u_9" AS (SELECT "AIRPORT_SERVICEalias2"."airport_code" FROM "airport_service" "AIRPORT_SERVICEalias2" LEFT JOIN "_u_8" "_u_8" ON "AIRPORT_SERVICEalias2"."city_code" = "_u_8"."" WHERE NOT "_u_8"."" IS NULL GROUP BY "airport_code"), "_u_10" AS (SELECT "FLIGHT_STOPalias0"."flight_id" FROM "flight_stop" "FLIGHT_STOPalias0" LEFT JOIN "_u_9" "_u_9" ON "FLIGHT_STOPalias0"."stop_airport" = "_u_9"."" WHERE NOT "_u_9"."" IS NULL GROUP BY "flight_id"), "_u_11" AS (SELECT "CITYalias1"."city_code" FROM "city" "CITYalias1" WHERE "CITYalias1"."city_name" = 'WESTCHESTER COUNTY' GROUP BY "city_code"), "_u_12" AS (SELECT "AIRPORT_SERVICEalias1"."airport_code" FROM "airport_service" "AIRPORT_SERVICEalias1" LEFT JOIN "_u_11" "_u_11" ON "AIRPORT_SERVICEalias1"."city_code" = "_u_11"."" WHERE NOT "_u_11"."" IS NULL GROUP BY "airport_code"), "_u_13" AS (SELECT "CITYalias0"."city_code" FROM "city" "CITYalias0" WHERE "CITYalias0"."city_name" = 'ONTARIO' GROUP BY "city_code"), "_u_14" AS (SELECT "AIRPORT_SERVICEalias0"."airport_code" FROM "airport_service" "AIRPORT_SERVICEalias0" LEFT JOIN "_u_13" "_u_13" ON "AIRPORT_SERVICEalias0"."city_code" = "_u_13"."" WHERE NOT "_u_13"."" IS NULL GROUP BY "airport_code"), "_u_2" AS (SELECT "DATE_DAYalias1"."day_name" FROM "date_day" "DATE_DAYalias1" WHERE "DATE_DAYalias1"."day_number" = 17 AND "DATE_DAYalias1"."month_number" = 5 AND "DATE_DAYalias1"."year" = 1991 GROUP BY "day_name"), "_u_3" AS (SELECT "DAYSalias1"."days_code" FROM "days" "DAYSalias1" LEFT JOIN "_u_2" "_u_2" ON "DAYSalias1"."day_name" = "_u_2"."" WHERE NOT "_u_2"."" IS NULL GROUP BY "days_code"), "_u_4" AS (SELECT "FARE_BASISalias0"."fare_basis_code" FROM "fare_basis" "FARE_BASISalias0" LEFT JOIN "_u_3" "_u_3" ON "FARE_BASISalias0"."basis_days" = "_u_3"."" WHERE NOT "_u_3"."" IS NULL GROUP BY "fare_basis_code"), "_u_5" AS (SELECT "FAREalias0"."fare_id" FROM "fare" "FAREalias0" LEFT JOIN "_u_4" "_u_4" ON "FAREalias0"."fare_basis_code" = "_u_4"."" WHERE "FAREalias0"."round_trip_required" = 'NO' AND NOT "_u_4"."" IS NULL GROUP BY "fare_id"), "_u_6" AS (SELECT "FLIGHT_FAREalias0"."flight_id" FROM "flight_fare" "FLIGHT_FAREalias0" LEFT JOIN "_u_5" "_u_5" ON "FLIGHT_FAREalias0"."fare_id" = "_u_5"."" WHERE NOT "_u_5"."" IS NULL GROUP BY "flight_id"), "_u_7" AS (SELECT "FOOD_SERVICEalias0"."meal_code" FROM "food_service" "FOOD_SERVICEalias0" WHERE "FOOD_SERVICEalias0"."meal_description" = 'DINNER' GROUP BY "meal_code") SELECT DISTINCT "flight_id" FROM "flight" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "flight_days" LEFT JOIN "_u_10" "_u_10" ON "_u_10"."" = "flight_id" LEFT JOIN "_u_12" "_u_12" ON "_u_12"."" = "to_airport" LEFT JOIN "_u_14" "_u_14" ON "_u_14"."" = "from_airport" LEFT JOIN "_u_6" "_u_6" ON "_u_6"."" = "flight_id" LEFT JOIN "_u_7" "_u_7" ON "_u_7"."" = "meal_code" WHERE NOT "_u_1"."" IS NULL AND NOT "_u_10"."" IS NULL AND NOT "_u_12"."" IS NULL AND NOT "_u_14"."" IS NULL AND NOT "_u_6"."" IS NULL AND NOT "_u_7"."" IS NULL | 3.414063 |
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId 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 Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment 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 PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId 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 Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, 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 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 CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
| Recent questions with no answers, no comments, nonnegative score. | SELECT CreationDate, Id AS "post_link", Score FROM Posts WHERE PostTypeId = 1 AND Score > 0 AND COALESCE(AnswerCount, 0) = 0 AND COALESCE(CommentCount, 0) = 0 AND ClosedDate IS NULL ORDER BY CreationDate DESC, Score DESC LIMIT 1000 | SELECT "CreationDate", "Id" AS "post_link", "Score" FROM "Posts" WHERE ("AnswerCount" = 0 OR "AnswerCount" IS NULL) AND "ClosedDate" IS NULL AND ("CommentCount" = 0 OR "CommentCount" IS NULL) AND "PostTypeId" = 1 AND "Score" > 0 ORDER BY "CreationDate" DESC, "Score" DESC FETCH FIRST 1000 ROWS ONLY | 0.291016 |
CREATE TABLE table_12595 ("State" CLOB, "Status" CLOB, "Association Agreement" CLOB, "Membership Application" CLOB, "Candidate status" CLOB, "Negotiations start" CLOB, "Screening completed" CLOB, "Acquis Chapters open/closed" CLOB)
| Which state has a 2010-05-01 (saa) association agreement? | SELECT "State" FROM table_12595 WHERE "Association Agreement" = '2010-05-01 (saa)' | SELECT "State" FROM "table_12595" WHERE "Association Agreement" = '2010-05-01 (saa)' | 0.082031 |
CREATE TABLE table_74581 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| Which venue had a home team score of 6.10 (46)? | SELECT "Venue" FROM table_74581 WHERE "Home team score" = '6.10 (46)' | SELECT "Venue" FROM "table_74581" WHERE "Home team score" = '6.10 (46)' | 0.069336 |
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewTaskTypes (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 VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress 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 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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE CloseReasonTypes (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 PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
| Questions and Answers per week. Plot the site activity by voting, questions, answers and comments, aggregated per week. | SELECT dd.Id AS id, dd.Body AS body, dd.date AS date FROM (SELECT p.Id AS id, p.ParentId AS parentid, c.Text AS body, c.CreationDate AS date FROM (SELECT Id, ParentId FROM Posts WHERE Tags LIKE '%iquibase%' OR Tags LIKE '%iquidbase%') AS p JOIN Comments AS c ON p.Id = c.PostId) AS dd | SELECT "dd"."Id" AS "id", "dd"."Body" AS "body", "c"."CreationDate" AS "date" FROM "Posts" JOIN "Comments" "c" ON "Id" = "c"."PostId" WHERE "Tags" LIKE '%iquibase%' OR "Tags" LIKE '%iquidbase%' | 0.188477 |
CREATE TABLE table_79792 ("Nation" CLOB, "Winners" FLOAT, "Runners-up" FLOAT, "3rd Place" FLOAT, "4th Place" FLOAT)
| Name the average 3rd place with winners of 0, 4th place of 0 and nation of pahang fa | SELECT AVG("3rd Place") FROM table_79792 WHERE "Winners" = '0' AND "4th Place" = '0' AND "Nation" = 'pahang fa' | SELECT AVG("3rd Place") FROM "table_79792" WHERE "4th Place" = '0' AND "Nation" = 'pahang fa' AND "Winners" = '0' | 0.110352 |
CREATE TABLE table_44642 ("Election" FLOAT, "Number of PNC votes" CLOB, "Share of votes" CLOB, "Seats" CLOB, "Outcome of election" CLOB)
| What is the earliest election with 2 seats and the outcome of the election of minority in parliament? | SELECT MIN("Election") FROM table_44642 WHERE "Outcome of election" = 'minority in parliament' AND "Seats" = '2' | SELECT MIN("Election") FROM "table_44642" WHERE "Outcome of election" = 'minority in parliament' AND "Seats" = '2' | 0.111328 |
CREATE TABLE table_65560 ("Elector" CLOB, "Nationality" CLOB, "Cardinalatial order and title" CLOB, "Elevated" CLOB, "Elevator" CLOB)
| What is the nationality of the elector withe the Cardinalatial order and title of Cardinal-Priest of Ss. XII Apostoli? | SELECT "Nationality" FROM table_65560 WHERE "Cardinalatial order and title" = 'cardinal-priest of ss. xii apostoli' | SELECT "Nationality" FROM "table_65560" WHERE "Cardinalatial order and title" = 'cardinal-priest of ss. xii apostoli' | 0.114258 |
CREATE TABLE table_name_58 (attendance VARCHAR2, loss VARCHAR2)
| What was the attendance that had a loss of Ponson (1-5)? | SELECT attendance FROM table_name_58 WHERE loss = "ponson (1-5)" | SELECT "attendance" FROM "table_name_58" WHERE "loss" = "ponson (1-5)" | 0.068359 |
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 prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what number of patients who had exteriorization of small intestine stayed in the hospital for more than 2 days? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.days_stay > "2" AND procedures.long_title = "Exteriorization of small intestine" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Exteriorization of small intestine" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "2" < "demographic"."days_stay" | 0.239258 |
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 Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense 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 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 ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE 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 VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
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 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 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 TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
| RANK, parition by id order by value_type. | WITH test AS (SELECT 1 AS id, 'B' AS value_type UNION ALL SELECT 1, 'B' UNION ALL SELECT 1, 'A' UNION ALL SELECT 2, 'A' UNION ALL SELECT 2, 'A'), summary AS (SELECT t.*, RANK() OVER (PARTITION BY t.id ORDER BY t.value_type DESC) AS rank FROM test AS t) SELECT * FROM summary WHERE rank = 1 | WITH "test" AS (SELECT 1 AS "id", 'B' AS "value_type" UNION ALL SELECT 1, 'B' UNION ALL SELECT 1, 'A' UNION ALL SELECT 2, 'A' UNION ALL SELECT 2, 'A'), "summary" AS (SELECT "t".*, RANK() OVER (PARTITION BY "t"."id" ORDER BY "t"."value_type" DESC) AS "rank" FROM "test" "t") SELECT * FROM "summary" WHERE "rank" = 1 | 0.306641 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| what is procedure icd9 code of subject name cynthia gomez? | SELECT procedures.icd9_code FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.name = "Cynthia Gomez" | SELECT "procedures"."icd9_code" FROM "demographic" JOIN "procedures" ON "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "Cynthia Gomez" = "demographic"."name" | 0.161133 |
CREATE TABLE table_29538735_1 (tonnes_of_co2_saved VARCHAR2, _percentage_electricity_reduction VARCHAR2)
| When 8.9% is the electricity reduction percentage how many sets of tonnes of co2 saved is there? | SELECT COUNT(tonnes_of_co2_saved) FROM table_29538735_1 WHERE _percentage_electricity_reduction = "8.9%" | SELECT COUNT("tonnes_of_co2_saved") FROM "table_29538735_1" WHERE "8.9%" = "_percentage_electricity_reduction" | 0.107422 |
CREATE TABLE table_78353 ("Res." CLOB, "Record" CLOB, "Opponent" CLOB, "Method" CLOB, "Round" FLOAT, "Time" CLOB, "Location" CLOB)
| What is the highest round number with a time of 4:39? | SELECT MAX("Round") FROM table_78353 WHERE "Time" = '4:39' | SELECT MAX("Round") FROM "table_78353" WHERE "Time" = '4:39' | 0.058594 |
CREATE TABLE table_6861 ("Couple" CLOB, "Style" CLOB, "Music" CLOB, "Choreographer ( s ) " CLOB, "Chosen by" CLOB)
| What is Chosen By, when Couple is Katee Shean Joshua Allen, and when Choreographer(s) is Nakul Dev Mahajan? | SELECT "Chosen by" FROM table_6861 WHERE "Couple" = 'katee shean joshua allen' AND "Choreographer(s)" = 'nakul dev mahajan' | SELECT "Chosen by" FROM "table_6861" WHERE "Choreographer(s)" = 'nakul dev mahajan' AND "Couple" = 'katee shean joshua allen' | 0.12207 |
CREATE TABLE table_name_80 (format VARCHAR2, station VARCHAR2)
| Which format has a Station of kcbs? | SELECT format FROM table_name_80 WHERE station = "kcbs" | SELECT "format" FROM "table_name_80" WHERE "kcbs" = "station" | 0.05957 |
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
| Create a bar chart showing school_id across all neutral, and display by the x-axis in asc. | SELECT All_Neutral, School_ID FROM basketball_match ORDER BY All_Neutral | SELECT "All_Neutral", "School_ID" FROM "basketball_match" ORDER BY "All_Neutral" | 0.078125 |
CREATE TABLE table_20413 ("No." FLOAT, "Date" CLOB, "Tournament" CLOB, "Winning score" CLOB, "To par" CLOB, "Margin of victory" CLOB, "Runner ( s ) -up" CLOB)
| Name the most number when tournament is madrid masters | SELECT MAX("No.") FROM table_20413 WHERE "Tournament" = 'Madrid Masters' | SELECT MAX("No.") FROM "table_20413" WHERE "Tournament" = 'Madrid Masters' | 0.072266 |
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)
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)
| How many patients who passed away in or before 2168 were white russian? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "WHITE - RUSSIAN" AND demographic.dod_year <= "2168.0" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2168.0" >= "demographic"."dod_year" AND "WHITE - RUSSIAN" = "demographic"."ethnicity" | 0.157227 |
CREATE TABLE table_name_11 (venue VARCHAR2, round VARCHAR2)
| What venue was round 20 held at? | SELECT venue FROM table_name_11 WHERE round = 20 | SELECT "venue" FROM "table_name_11" WHERE "round" = 20 | 0.052734 |
CREATE TABLE table_61256 ("Team" CLOB, "Played" FLOAT, "Draw" FLOAT, "Lost" FLOAT, "Goals Scored" FLOAT, "Goals Conceded" FLOAT, "Points" CLOB)
| Name the Goals Conceded which has a Draw of 0 and a Played larger than 0? | SELECT AVG("Goals Conceded") FROM table_61256 WHERE "Draw" = '0' AND "Played" > '0' | SELECT AVG("Goals Conceded") FROM "table_61256" WHERE "Draw" = '0' AND "Played" > '0' | 0.083008 |
CREATE TABLE table_name_63 (date_sent VARCHAR2, constellation VARCHAR2)
| What date sent has orion as the constellation? | SELECT date_sent FROM table_name_63 WHERE constellation = "orion" | SELECT "date_sent" FROM "table_name_63" WHERE "constellation" = "orion" | 0.069336 |
CREATE TABLE table_73889 ("\\u00d7" CLOB, "Faisaly" CLOB, "Wehdat" CLOB, "Ramtha" CLOB, "Ahli" CLOB, "Jazeera" CLOB, "Hussein" CLOB, "Amman" CLOB, "Orthodoxy" CLOB, "Jeel" CLOB, "Ain Karem" CLOB)
| What is ramtha when jeel is 1-0 and hussein is 1-0? | SELECT "Ramtha" FROM table_73889 WHERE "Jeel" = '1-0' AND "Hussein" = '1-0' | SELECT "Ramtha" FROM "table_73889" WHERE "Hussein" = '1-0' AND "Jeel" = '1-0' | 0.075195 |
CREATE TABLE table_12781 ("Satellite" CLOB, "Launch date" CLOB, "Carrier rocket" CLOB, "Launch site" CLOB, "COSPAR ID" CLOB)
| What is Ariel 3's COSPAR ID? | SELECT "COSPAR ID" FROM table_12781 WHERE "Satellite" = 'ariel 3' | SELECT "COSPAR ID" FROM "table_12781" WHERE "Satellite" = 'ariel 3' | 0.06543 |
CREATE TABLE table_name_53 (weekly_rank___number_ VARCHAR2, share VARCHAR2, viewers__m_ VARCHAR2)
| What is the weekly rank for a share of 9 and 9.42 million viewers? | SELECT weekly_rank___number_ FROM table_name_53 WHERE share = 9 AND viewers__m_ = 9.42 | SELECT "weekly_rank___number_" FROM "table_name_53" WHERE "share" = 9 AND "viewers__m_" = 9.42 | 0.091797 |
CREATE TABLE table_11192 ("Driver" CLOB, "Constructor" CLOB, "Laps" FLOAT, "Time/Retired" CLOB, "Grid" FLOAT)
| How many grid numbers had a lap number bigger than 54? | SELECT COUNT("Grid") FROM table_11192 WHERE "Laps" > '54' | SELECT COUNT("Grid") FROM "table_11192" WHERE "Laps" > '54' | 0.057617 |
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)
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)
| give me the number of patients whose ethnicity is white and lab test name is prot. electrophoresis, urine? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.ethnicity = "WHITE" AND lab.label = "Prot. Electrophoresis, Urine" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Prot. Electrophoresis, Urine" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "WHITE" = "demographic"."ethnicity" | 0.211914 |
CREATE TABLE table_name_2 (club VARCHAR2, points VARCHAR2)
| What is the name of the club with 22 points? | SELECT club FROM table_name_2 WHERE points = "22" | SELECT "club" FROM "table_name_2" WHERE "22" = "points" | 0.053711 |
CREATE TABLE table_name_29 (type VARCHAR2, value VARCHAR2)
| What's the type of 0.0 value? | SELECT type FROM table_name_29 WHERE value = "0.0" | SELECT "type" FROM "table_name_29" WHERE "0.0" = "value" | 0.054688 |
CREATE TABLE Documents_to_be_Destroyed (Document_ID NUMBER, Destruction_Authorised_by_Employee_ID NUMBER, Destroyed_by_Employee_ID NUMBER, Planned_Destruction_Date DATETIME, Actual_Destruction_Date DATETIME, Other_Details VARCHAR2)
CREATE TABLE All_Documents (Document_ID NUMBER, Date_Stored DATETIME, Document_Type_Code CHAR, Document_Name CHAR, Document_Description CHAR, Other_Details VARCHAR2)
CREATE TABLE Document_Locations (Document_ID NUMBER, Location_Code CHAR, Date_in_Location_From DATETIME, Date_in_Locaton_To DATETIME)
CREATE TABLE Ref_Locations (Location_Code CHAR, Location_Name VARCHAR2, Location_Description VARCHAR2)
CREATE TABLE Ref_Calendar (Calendar_Date DATETIME, Day_Number NUMBER)
CREATE TABLE Employees (Employee_ID NUMBER, Role_Code CHAR, Employee_Name VARCHAR2, Gender_MFU CHAR, Date_of_Birth DATETIME, Other_Details VARCHAR2)
CREATE TABLE Roles (Role_Code CHAR, Role_Name VARCHAR2, Role_Description VARCHAR2)
CREATE TABLE Ref_Document_Types (Document_Type_Code CHAR, Document_Type_Name VARCHAR2, Document_Type_Description VARCHAR2)
| Can you draw the trend of how many date in location from over the date in location from?, and list by the x-axis from low to high. | SELECT Date_in_Location_From, COUNT(Date_in_Location_From) FROM Document_Locations ORDER BY Date_in_Location_From | SELECT "Date_in_Location_From", COUNT("Date_in_Location_From") FROM "Document_Locations" ORDER BY "Date_in_Location_From" | 0.118164 |
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
| For those records from the products and each product's manufacturer, draw a bar chart about the distribution of headquarter and the average of code , and group by attribute headquarter, order Y from low to high order. | SELECT T2.Headquarter, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Headquarter ORDER BY T1.Code | SELECT "T2"."Headquarter", "T1"."Code" FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T2"."Headquarter" ORDER BY "T1"."Code" | 0.166992 |
CREATE TABLE table_2261 ("Episode Number" FLOAT, "Episode" CLOB, "Rating" CLOB, "Share" FLOAT, "Rating/Share ( 18-49 ) " CLOB, "Viewers ( millions ) " CLOB, "Rank ( Timeslot ) " CLOB, "Rank ( Overall ) " CLOB)
| What is overall rank when viewers are at 6.59 million? | SELECT "Rank (Overall)" FROM table_2261 WHERE "Viewers (millions)" = '6.59' | SELECT "Rank (Overall)" FROM "table_2261" WHERE "Viewers (millions)" = '6.59' | 0.075195 |
CREATE TABLE table_2324 ("School" CLOB, "Location ( s ) " CLOB, "Control" CLOB, "Type" CLOB, "Enrollment ( 2012 ) " FLOAT, "Founded" FLOAT)
| When western carolina university is the school what is the control? | SELECT "Control" FROM table_2324 WHERE "School" = 'Western Carolina University' | SELECT "Control" FROM "table_2324" WHERE "School" = 'Western Carolina University' | 0.079102 |
CREATE TABLE table_46691 ("Res." CLOB, "Record" CLOB, "Opponent" CLOB, "Method" CLOB, "Event" CLOB, "Round" CLOB, "Location" CLOB)
| Which method took place against Chris Herring? | SELECT "Method" FROM table_46691 WHERE "Opponent" = 'chris herring' | SELECT "Method" FROM "table_46691" WHERE "Opponent" = 'chris herring' | 0.067383 |
CREATE TABLE table_30134 ("Rnd" FLOAT, "Circuit" CLOB, "GT Winning Car" CLOB, "SS Winning Car" CLOB, "A Winning Car" CLOB, "B Winning Car" CLOB, "Report" CLOB)
| Name the b winning car for #88 team mitsubishi 88 mitsubishi starion | SELECT "B Winning Car" FROM table_30134 WHERE "A Winning Car" = '#88 Team Mitsubishi 88 Mitsubishi Starion' | SELECT "B Winning Car" FROM "table_30134" WHERE "A Winning Car" = '#88 Team Mitsubishi 88 Mitsubishi Starion' | 0.106445 |
CREATE TABLE time_slot (time_slot_id VARCHAR2, day VARCHAR2, start_hr NUMBER, start_min NUMBER, end_hr NUMBER, end_min NUMBER)
CREATE TABLE course (course_id VARCHAR2, title VARCHAR2, dept_name VARCHAR2, credits NUMBER)
CREATE TABLE prereq (course_id VARCHAR2, prereq_id VARCHAR2)
CREATE TABLE department (dept_name VARCHAR2, building VARCHAR2, budget NUMBER)
CREATE TABLE instructor (ID VARCHAR2, name VARCHAR2, dept_name VARCHAR2, salary NUMBER)
CREATE TABLE takes (ID VARCHAR2, course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER, grade 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 student (ID VARCHAR2, name VARCHAR2, dept_name VARCHAR2, tot_cred NUMBER)
CREATE TABLE advisor (s_ID VARCHAR2, i_ID VARCHAR2)
CREATE TABLE classroom (building VARCHAR2, room_number VARCHAR2, capacity NUMBER)
CREATE TABLE teaches (ID VARCHAR2, course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER)
| Visualize the general trend of the number of courses over the year, and show x-axis from high to low order. | SELECT year, COUNT(*) FROM section GROUP BY year ORDER BY year DESC | SELECT "year", COUNT(*) FROM "section" GROUP BY "year" ORDER BY "year" DESC | 0.073242 |
CREATE TABLE table_1762887_1 (state VARCHAR2, county VARCHAR2)
| Name the state for lake county | SELECT state FROM table_1762887_1 WHERE county = "Lake county" | SELECT "state" FROM "table_1762887_1" WHERE "Lake county" = "county" | 0.066406 |
CREATE TABLE table_name_69 (score VARCHAR2, outcome VARCHAR2, tournament VARCHAR2)
| Which Score has an Outcome of runner-up, and a Tournament of johannesburg? | SELECT score FROM table_name_69 WHERE outcome = "runner-up" AND tournament = "johannesburg" | SELECT "score" FROM "table_name_69" WHERE "johannesburg" = "tournament" AND "outcome" = "runner-up" | 0.09668 |
CREATE TABLE table_10928 ("Model" CLOB, "FSB ( MHz ) " CLOB, "Chipset" CLOB, "Memory" CLOB, "Graphics" CLOB)
| What type of chipset is in the Precision t3400 model with the PCI Express graphics? | SELECT "Chipset" FROM table_10928 WHERE "Graphics" = 'pci express' AND "Model" = 'precision t3400' | SELECT "Chipset" FROM "table_10928" WHERE "Graphics" = 'pci express' AND "Model" = 'precision t3400' | 0.097656 |
CREATE TABLE table_58569 ("Entrant" CLOB, "Constructor" CLOB, "Chassis" CLOB, "Engine" CLOB, "Tyre" CLOB, "Driver" CLOB, "Rounds" CLOB)
| Name the driver for 3 rounds | SELECT "Driver" FROM table_58569 WHERE "Rounds" = '3' | SELECT "Driver" FROM "table_58569" WHERE "Rounds" = '3' | 0.053711 |
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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE 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 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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
| how many patients have received a oth periton adhesiolysis until 3 years ago two times? | SELECT COUNT(DISTINCT t1.subject_id) FROM (SELECT admissions.subject_id, COUNT(*) AS c1 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 = 'oth periton adhesiolysis') AND DATETIME(procedures_icd.charttime) <= DATETIME(CURRENT_TIME(), '-3 year') GROUP BY admissions.subject_id) AS t1 WHERE t1.c1 = 2 | WITH "t1" AS (SELECT "admissions"."subject_id", COUNT(*) AS "c1" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'oth periton adhesiolysis' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" WHERE DATETIME("procedures_icd"."charttime") <= DATETIME(CURRENT_TIME(), '-3 year') GROUP BY "admissions"."subject_id") SELECT COUNT(DISTINCT "t1"."subject_id") FROM "t1" "t1" WHERE "t1"."c1" = 2 | 0.498047 |
CREATE TABLE table_name_32 (country VARCHAR2, iata VARCHAR2)
| Which Country has a IATA of vie? | SELECT country FROM table_name_32 WHERE iata = "vie" | SELECT "country" FROM "table_name_32" WHERE "iata" = "vie" | 0.056641 |
CREATE TABLE table_2283 ("Series #" FLOAT, "Season #" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "U.S. viewers ( in millions ) " CLOB)
| Who directed the episode that aired on july15,2012? | SELECT "Directed by" FROM table_2283 WHERE "Original air date" = 'July15,2012' | SELECT "Directed by" FROM "table_2283" WHERE "Original air date" = 'July15,2012' | 0.078125 |
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 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 departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
| For those employees who do not work in departments with managers that have ids between 100 and 200, find last_name and manager_id , and visualize them by a bar chart, display in desc by the LAST_NAME please. | SELECT LAST_NAME, MANAGER_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY LAST_NAME DESC | SELECT "LAST_NAME", "MANAGER_ID" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "LAST_NAME" DESC | 0.193359 |
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment 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 VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (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 PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE 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 PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId 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 PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId 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 TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
| Tags without Tag Wikis (Unix & Linux). | SELECT TagName, Count, 'http://math.stackexchange.com/questions/tagged/' + TagName AS link_to_questions, 'http://math.stackexchange.com/edit-tag-wiki/' + CAST(Id AS TEXT) AS link_to_tagwiki FROM Tags WHERE ExcerptPostId IS NULL OR WikiPostId IS NULL ORDER BY Count DESC | SELECT "TagName", "Count", 'http://math.stackexchange.com/questions/tagged/' + "TagName" AS "link_to_questions", CONCAT('http://math.stackexchange.com/edit-tag-wiki/', CAST("Id" AS CLOB)) AS "link_to_tagwiki" FROM "Tags" WHERE "ExcerptPostId" IS NULL OR "WikiPostId" IS NULL ORDER BY "Count" DESC | 0.289063 |
CREATE TABLE table_61846 ("Tournament" CLOB, "2009" CLOB, "2010" CLOB, "2011" CLOB, "2012" CLOB, "2013" CLOB)
| What is the 2011 with 1r in 2010? | SELECT "2011" FROM table_61846 WHERE "2010" = '1r' | SELECT "2011" FROM "table_61846" WHERE "2010" = '1r' | 0.050781 |
CREATE TABLE table_62285 ("Tie no" CLOB, "Home team" CLOB, "Score" CLOB, "Away team" CLOB, "Date" CLOB)
| What home team has 16 as the tie no.? | SELECT "Home team" FROM table_62285 WHERE "Tie no" = '16' | SELECT "Home team" FROM "table_62285" WHERE "Tie no" = '16' | 0.057617 |
CREATE TABLE table_name_84 (away_team VARCHAR2, venue VARCHAR2)
| How much did the away team score at Victoria park? | SELECT away_team AS score FROM table_name_84 WHERE venue = "victoria park" | SELECT "away_team" AS "score" FROM "table_name_84" WHERE "venue" = "victoria park" | 0.080078 |
CREATE TABLE table_name_86 (hits VARCHAR2, year NUMBER)
| Name the hits for years before 1883 | SELECT hits FROM table_name_86 WHERE year < 1883 | SELECT "hits" FROM "table_name_86" WHERE "year" < 1883 | 0.052734 |
CREATE TABLE table_12094300_1 (interview VARCHAR2, preliminaries VARCHAR2)
| What is the score for interview when the preliminaries score is 8.425? | SELECT interview FROM table_12094300_1 WHERE preliminaries = "8.425" | SELECT "interview" FROM "table_12094300_1" WHERE "8.425" = "preliminaries" | 0.072266 |
CREATE TABLE table_4702 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What Away team scored 7.11 (53)? | SELECT "Home team" FROM table_4702 WHERE "Away team score" = '7.11 (53)' | SELECT "Home team" FROM "table_4702" WHERE "Away team score" = '7.11 (53)' | 0.072266 |
CREATE TABLE table_name_51 (us_state_district VARCHAR2, charter_date VARCHAR2)
| What state or district has a charter date of april 17, 2011? | SELECT us_state_district FROM table_name_51 WHERE charter_date = "april 17, 2011" | SELECT "us_state_district" FROM "table_name_51" WHERE "april 17, 2011" = "charter_date" | 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 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)
| how many dead patients had left femur fracture primary disease? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.expire_flag = "1" AND demographic.diagnosis = "LEFT FEMUR FRACTURE" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "1" = "demographic"."expire_flag" AND "LEFT FEMUR FRACTURE" = "demographic"."diagnosis" | 0.158203 |
CREATE TABLE table_name_58 (rest_mass_mev___c_2 VARCHAR2, makeup VARCHAR2, spin___parity___j_p VARCHAR2)
| When the Makeup is u s s and the Spin (Parity) J P of 3 2 +, what is the Rest mass MeV/C2? | SELECT rest_mass_mev___c_2 FROM table_name_58 WHERE makeup = "u s s" AND spin___parity___j_p = "3⁄2 +" | SELECT "rest_mass_mev___c_2" FROM "table_name_58" WHERE "3⁄2 +" = "spin___parity___j_p" AND "makeup" = "u s s" | 0.107422 |
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 flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE airport (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 time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
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 flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE 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 city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
| what is the FIRST class fare from BOSTON to DALLAS | SELECT DISTINCT fare.fare_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, fare_basis, flight, flight_fare WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DALLAS' AND fare_basis.class_type = 'FIRST' AND fare.fare_basis_code = fare_basis.fare_basis_code AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code | SELECT DISTINCT "fare"."fare_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'BOSTON' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'DALLAS' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" JOIN "fare_basis" ON "fare"."fare_basis_code" = "fare_basis"."fare_basis_code" AND "fare_basis"."class_type" = 'FIRST' | 0.71875 |
CREATE TABLE table_15001681_1 (mens_singles VARCHAR2, year VARCHAR2)
| In 1987 who was the mens singles | SELECT mens_singles FROM table_15001681_1 WHERE year = 1987 | SELECT "mens_singles" FROM "table_15001681_1" WHERE "year" = 1987 | 0.063477 |
CREATE TABLE table_name_71 (game NUMBER, record VARCHAR2)
| What was the game number when record is 59-15? | SELECT MIN(game) FROM table_name_71 WHERE record = "59-15" | SELECT MIN("game") FROM "table_name_71" WHERE "59-15" = "record" | 0.0625 |
CREATE TABLE table_70061 ("Rank" FLOAT, "Circuit" CLOB, "Headquarters" CLOB, "Screens" FLOAT, "Sites" FLOAT)
| what is the lowest number of sites when the headquarters are in columbus, ga and the rank is smaller than 4? | SELECT MIN("Sites") FROM table_70061 WHERE "Headquarters" = 'columbus, ga' AND "Rank" < '4' | SELECT MIN("Sites") FROM "table_70061" WHERE "Headquarters" = 'columbus, ga' AND "Rank" < '4' | 0.09082 |
CREATE TABLE table_24077 ("Game" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Golden Bears points" FLOAT, "Opponents" FLOAT, "Record" CLOB)
| What was the least amount of points scored by the golden bears when the opponent scored 15 points? | SELECT MIN("Golden Bears points") FROM table_24077 WHERE "Opponents" = '15' | SELECT MIN("Golden Bears points") FROM "table_24077" WHERE "Opponents" = '15' | 0.075195 |
CREATE TABLE table_name_68 (length VARCHAR2, version VARCHAR2)
| What is the length of the UK remix version? | SELECT length FROM table_name_68 WHERE version = "uk remix" | SELECT "length" FROM "table_name_68" WHERE "uk remix" = "version" | 0.063477 |
CREATE TABLE table_name_91 (finish VARCHAR2, laps VARCHAR2, start VARCHAR2)
| What is the finish with 200 laps and a start of 3? | SELECT finish FROM table_name_91 WHERE laps = 200 AND start = "3" | SELECT "finish" FROM "table_name_91" WHERE "3" = "start" AND "laps" = 200 | 0.071289 |
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location 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 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 program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE 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)
| Which classes have projects , no exams , and are upper level ? | SELECT DISTINCT course.department, course.name, course.number FROM course INNER JOIN program_course ON program_course.course_id = course.course_id WHERE course.has_exams = 'N' AND course.has_projects = 'Y' AND program_course.category LIKE 'ULCS' | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE 'ULCS' WHERE "course"."has_exams" = 'N' AND "course"."has_projects" = 'Y' | 0.268555 |
CREATE TABLE table_203_102 (id NUMBER, "event" CLOB, "performance" CLOB, "athlete" CLOB, "nation" CLOB, "place" CLOB, "date" CLOB)
| how many world records does ethiopia hold ? | SELECT COUNT(*) FROM table_203_102 WHERE "nation" = 'ethiopia' | SELECT COUNT(*) FROM "table_203_102" WHERE "nation" = 'ethiopia' | 0.0625 |
CREATE TABLE table_name_48 (killed NUMBER, incident_no VARCHAR2)
| What is the highest number killed in incident #14? | SELECT MAX(killed) FROM table_name_48 WHERE incident_no = "14" | SELECT MAX("killed") FROM "table_name_48" WHERE "14" = "incident_no" | 0.066406 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is average age of patients whose age is greater than or equal to 24 and admission year is greater than or equal to 2176? | SELECT AVG(demographic.age) FROM demographic WHERE demographic.age >= "24" AND demographic.admityear >= "2176" | SELECT AVG("demographic"."age") FROM "demographic" WHERE "2176" <= "demographic"."admityear" AND "24" <= "demographic"."age" | 0.121094 |
CREATE TABLE document_structures (document_structure_code CLOB, parent_document_structure_code CLOB, document_structure_description CLOB)
CREATE TABLE document_sections (section_id NUMBER, document_code CLOB, section_sequence NUMBER, section_code CLOB, section_title CLOB)
CREATE TABLE document_functional_areas (document_code CLOB, functional_area_code CLOB)
CREATE TABLE functional_areas (functional_area_code CLOB, parent_functional_area_code CLOB, functional_area_description CLOB)
CREATE TABLE images (image_id NUMBER, image_alt_text CLOB, image_name CLOB, image_url CLOB)
CREATE TABLE documents (document_code CLOB, document_structure_code CLOB, document_type_code CLOB, access_count NUMBER, document_name CLOB)
CREATE TABLE roles (role_code CLOB, role_description CLOB)
CREATE TABLE users (user_id NUMBER, role_code CLOB, user_name CLOB, user_login CLOB, password CLOB)
CREATE TABLE document_sections_images (section_id NUMBER, image_id NUMBER)
| Return the name of the document that has the most sections. | SELECT t1.document_name FROM documents AS t1 JOIN document_sections AS t2 ON t1.document_code = t2.document_code GROUP BY t1.document_code ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "t1"."document_name" FROM "documents" "t1" JOIN "document_sections" "t2" ON "t1"."document_code" = "t2"."document_code" GROUP BY "t1"."document_code" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY | 0.198242 |
CREATE TABLE table_name_77 (lane NUMBER, heat VARCHAR2, name VARCHAR2)
| How many lanes have 2 as the heat, and susanna kallur as the name? | SELECT SUM(lane) FROM table_name_77 WHERE heat = 2 AND name = "susanna kallur" | SELECT SUM("lane") FROM "table_name_77" WHERE "heat" = 2 AND "name" = "susanna kallur" | 0.083984 |
CREATE TABLE table_19080 ("Rd." FLOAT, "Race Title" CLOB, "Circuit" CLOB, "City / State" CLOB, "Date" CLOB, "Winner" CLOB, "Team" CLOB, "Report" CLOB)
| What round was held at the Queensland Raceway? | SELECT "Rd." FROM table_19080 WHERE "Circuit" = 'Queensland Raceway' | SELECT "Rd." FROM "table_19080" WHERE "Circuit" = 'Queensland Raceway' | 0.068359 |
CREATE TABLE table_37526 ("Type" CLOB, "Numbers" CLOB, "Year built" FLOAT, "Quantity built" CLOB, "Power ( horsepower ) " FLOAT, "Max Speed ( km/h ) " FLOAT)
| What is the numbers of the thn unit with a power greater than 220? | SELECT "Numbers" FROM table_37526 WHERE "Power (horsepower)" > '220' AND "Type" = 'thn' | SELECT "Numbers" FROM "table_37526" WHERE "Power (horsepower)" > '220' AND "Type" = 'thn' | 0.086914 |
CREATE TABLE table_16592 ("Finishing position" CLOB, "Points awarded ( Platinum ) " FLOAT, "Points awarded ( Gold ) " FLOAT, "Points awarded ( Silver ) " FLOAT, "Points awarded ( Satellite ) " FLOAT)
| How many platinum points were awarded for 5th place? | SELECT MAX("Points awarded (Platinum)") FROM table_16592 WHERE "Finishing position" = '5th' | SELECT MAX("Points awarded (Platinum)") FROM "table_16592" WHERE "Finishing position" = '5th' | 0.09082 |
CREATE TABLE table_name_68 (result VARCHAR2, award VARCHAR2)
| What was the result for the award for best current affairs presenter? | SELECT result FROM table_name_68 WHERE award = "best current affairs presenter" | SELECT "result" FROM "table_name_68" WHERE "award" = "best current affairs presenter" | 0.083008 |
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 microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE 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 was the total number of patients on ward 99 until 4 years ago? | SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE patient.wardid = 99 AND DATETIME(patient.unitadmittime) <= DATETIME(CURRENT_TIME(), '-4 year') | SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "patient" WHERE "patient"."wardid" = 99 AND DATETIME("patient"."unitadmittime") <= DATETIME(CURRENT_TIME(), '-4 year') | 0.164063 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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 drug type of drug name nafcillin? | SELECT prescriptions.drug_type FROM prescriptions WHERE prescriptions.drug = "Nafcillin" | SELECT "prescriptions"."drug_type" FROM "prescriptions" WHERE "Nafcillin" = "prescriptions"."drug" | 0.095703 |
CREATE TABLE table_name_80 (total NUMBER, country VARCHAR2, silver VARCHAR2)
| What is the lowest total medals for the united states who had more than 11 silver medals? | SELECT MIN(total) FROM table_name_80 WHERE country = "united states" AND silver > 11 | SELECT MIN("total") FROM "table_name_80" WHERE "country" = "united states" AND "silver" > 11 | 0.089844 |
CREATE TABLE table_name_28 (losses NUMBER, wins VARCHAR2, against VARCHAR2)
| How many losses for the team with 3 wins and more than 1919 against? | SELECT MIN(losses) FROM table_name_28 WHERE wins = 3 AND against > 1919 | SELECT MIN("losses") FROM "table_name_28" WHERE "against" > 1919 AND "wins" = 3 | 0.077148 |
CREATE TABLE accounts (account_id NUMBER, customer_id NUMBER, account_name CLOB, other_account_details CLOB)
CREATE TABLE customers (customer_id NUMBER, customer_first_name CLOB, customer_last_name CLOB, customer_address CLOB, customer_phone CLOB, customer_email CLOB, other_customer_details CLOB)
CREATE TABLE financial_transactions (transaction_id NUMBER, previous_transaction_id NUMBER, account_id NUMBER, card_id NUMBER, transaction_type CLOB, transaction_date TIME, transaction_amount NUMBER, transaction_comment CLOB, other_transaction_details CLOB)
CREATE TABLE customers_cards (card_id NUMBER, customer_id NUMBER, card_type_code CLOB, card_number CLOB, date_valid_from TIME, date_valid_to TIME, other_card_details CLOB)
| What are the ids and first names of customers who do not hold a credit card? | SELECT customer_id, customer_first_name FROM customers EXCEPT SELECT T1.customer_id, T2.customer_first_name FROM customers_cards AS T1 JOIN customers AS T2 ON T1.customer_id = T2.customer_id WHERE card_type_code = "Credit" | SELECT "customer_id", "customer_first_name" FROM "customers" EXCEPT SELECT "T1"."customer_id", "T2"."customer_first_name" FROM "customers_cards" "T1" JOIN "customers" "T2" ON "T1"."customer_id" = "T2"."customer_id" WHERE "Credit" = "card_type_code" | 0.242188 |
Subsets and Splits
No saved queries yet
Save your SQL queries to embed, download, and access them later. Queries will appear here once saved.