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CREATE TABLE table_72139 ("No. in season" FLOAT, "No. in series" FLOAT, "Title" CLOB, "Canadian airdate" CLOB, "US airdate" CLOB, "Production code" FLOAT)
| The episode titled 'don't stop believin'' was what highest number of the season? | SELECT MAX("No. in season") FROM table_72139 WHERE "Title" = 'Don''t Stop Believin' | SELECT MAX("No. in season") FROM "table_72139" WHERE "Title" = 'Don''t Stop Believin' | 0.083008 |
CREATE TABLE table_4109 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Viewers *" CLOB)
| How many different title names had 358,000 viewers? | SELECT COUNT("Title") FROM table_4109 WHERE "Viewers *" = '358,000' | SELECT COUNT("Title") FROM "table_4109" WHERE "Viewers *" = '358,000' | 0.067383 |
CREATE TABLE table_name_26 (SLM NUMBER, built NUMBER)
| What locomotive built after 1895 has the highest SLM number? | SELECT MAX(SLM) AS number FROM table_name_26 WHERE built > 1895 | SELECT MAX("SLM") AS "number" FROM "table_name_26" WHERE "built" > 1895 | 0.069336 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| give the number of married patients who were admitted before the year 2175. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.marital_status = "MARRIED" AND demographic.admityear < "2175" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2175" > "demographic"."admityear" AND "MARRIED" = "demographic"."marital_status" | 0.152344 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| What is the number of patients who are prescribed main drug type and are diagnosed with intestinal perforation? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Perforation of intestine" AND prescriptions.drug_type = "MAIN" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Perforation of intestine" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "MAIN" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.304688 |
CREATE TABLE table_74137 ("Game" FLOAT, "November" FLOAT, "Opponent" CLOB, "Score" CLOB, "Location/Attendance" CLOB, "Record" CLOB, "Points" FLOAT)
| what is the maximum number of points? | SELECT MAX("Points") FROM table_74137 | SELECT MAX("Points") FROM "table_74137" | 0.038086 |
CREATE TABLE table_204_940 (id NUMBER, "year" NUMBER, "tournaments\ played" NUMBER, "cuts\ made" NUMBER, "wins" NUMBER, "2nd" NUMBER, "3rd" NUMBER, "top 10s" NUMBER, "best\ finish" CLOB, "earnings\ ( \\u20ac ) " NUMBER, "money\ list rank" NUMBER, "scoring\ average" NUMBER, "scoring\ rank" NUMBER, "rolex\ ranking" NUMBER)
| how many professional wins has christel boeljon had ? | SELECT SUM("wins") FROM table_204_940 | SELECT SUM("wins") FROM "table_204_940" | 0.038086 |
CREATE TABLE table_23242958_1 (original_air_date VARCHAR2, written_by VARCHAR2)
| What is the original air date of the episode written by David Zuckerman? | SELECT original_air_date FROM table_23242958_1 WHERE written_by = "David Zuckerman" | SELECT "original_air_date" FROM "table_23242958_1" WHERE "David Zuckerman" = "written_by" | 0.086914 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE 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 prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| tell me the number of patients with left femur fracture primary disease who have delta abnormal lab test status. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.diagnosis = "LEFT FEMUR FRACTURE" AND lab.flag = "delta" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "delta" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "LEFT FEMUR FRACTURE" = "demographic"."diagnosis" | 0.202148 |
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE 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 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 job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
| For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, a bar chart shows the distribution of hire_date and the average of department_id bin hire_date by time, and could you rank from high to low by the total number? | SELECT HIRE_DATE, AVG(DEPARTMENT_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 ORDER BY AVG(DEPARTMENT_ID) DESC | SELECT "HIRE_DATE", AVG("DEPARTMENT_ID") FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) ORDER BY AVG("DEPARTMENT_ID") DESC | 0.243164 |
CREATE TABLE table_name_60 (pick VARCHAR2, college VARCHAR2)
| Which pick came from Pittsburgh? | SELECT COUNT(pick) FROM table_name_60 WHERE college = "pittsburgh" | SELECT COUNT("pick") FROM "table_name_60" WHERE "college" = "pittsburgh" | 0.070313 |
CREATE TABLE table_name_98 (sodium VARCHAR2, rubidium VARCHAR2)
| what is the properties of sodium when rubidium is nacl (2.1)? | SELECT sodium FROM table_name_98 WHERE rubidium = "nacl (2.1)" | SELECT "sodium" FROM "table_name_98" WHERE "nacl (2.1)" = "rubidium" | 0.066406 |
CREATE TABLE table_name_10 (home VARCHAR2, record VARCHAR2)
| Who was the home team in the game that led to a 2-3 series record? | SELECT home FROM table_name_10 WHERE record = "2-3" | SELECT "home" FROM "table_name_10" WHERE "2-3" = "record" | 0.055664 |
CREATE TABLE table_1890 ("No. in series" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Production code" CLOB, "U.S. viewers ( million ) " CLOB)
| Name the title for production code 2t6908 | SELECT "Title" FROM table_1890 WHERE "Production code" = '2T6908' | SELECT "Title" FROM "table_1890" WHERE "Production code" = '2T6908' | 0.06543 |
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight 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 ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare 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 date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name 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 airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
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 equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_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 days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
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 time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
| i'd like to book the cheapest one way flight from PITTSBURGH to ATLANTA on 7 20 | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, fare, flight, flight_fare WHERE ((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ATLANTA' AND date_day.day_number = 20 AND date_day.month_number = 7 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PITTSBURGH' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND fare.one_direction_cost = (SELECT MIN(FAREalias1.one_direction_cost) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, date_day AS DATE_DAYalias1, days AS DAYSalias1, fare AS FAREalias1, flight AS FLIGHTalias1, flight_fare AS FLIGHT_FAREalias1 WHERE (CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'ATLANTA' AND DATE_DAYalias1.day_number = 20 AND DATE_DAYalias1.month_number = 7 AND DATE_DAYalias1.year = 1991 AND DAYSalias1.day_name = DATE_DAYalias1.day_name AND FLIGHTalias1.flight_days = DAYSalias1.days_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) AND CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'PITTSBURGH' AND FAREalias1.round_trip_required = 'NO' AND FLIGHT_FAREalias1.fare_id = FAREalias1.fare_id AND FLIGHTalias1.flight_id = FLIGHT_FAREalias1.flight_id AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code) AND fare.round_trip_required = 'NO' AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id | WITH "_u_0" AS (SELECT MIN("FAREalias1"."one_direction_cost") FROM "airport_service" "AIRPORT_SERVICEalias2" JOIN "date_day" "DATE_DAYalias1" ON "DATE_DAYalias1"."day_number" = 20 AND "DATE_DAYalias1"."month_number" = 7 AND "DATE_DAYalias1"."year" = 1991 JOIN "city" "CITYalias2" ON "AIRPORT_SERVICEalias2"."city_code" = "CITYalias2"."city_code" AND "CITYalias2"."city_name" = 'PITTSBURGH' JOIN "days" "DAYSalias1" ON "DATE_DAYalias1"."day_name" = "DAYSalias1"."day_name" JOIN "flight" "FLIGHTalias1" ON "AIRPORT_SERVICEalias2"."airport_code" = "FLIGHTalias1"."from_airport" AND "DAYSalias1"."days_code" = "FLIGHTalias1"."flight_days" JOIN "airport_service" "AIRPORT_SERVICEalias3" ON "AIRPORT_SERVICEalias3"."airport_code" = "FLIGHTalias1"."to_airport" JOIN "flight_fare" "FLIGHT_FAREalias1" ON "FLIGHT_FAREalias1"."flight_id" = "FLIGHTalias1"."flight_id" JOIN "city" "CITYalias3" ON "AIRPORT_SERVICEalias3"."city_code" = "CITYalias3"."city_code" AND "CITYalias3"."city_name" = 'ATLANTA' JOIN "fare" "FAREalias1" ON "FAREalias1"."fare_id" = "FLIGHT_FAREalias1"."fare_id" AND "FAREalias1"."round_trip_required" = 'NO') SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 20 AND "date_day"."month_number" = 7 AND "date_day"."year" = 1991 JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'PITTSBURGH' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "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" = 'ATLANTA' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" AND "fare"."round_trip_required" = 'NO' JOIN "_u_0" "_u_0" ON "_u_0"."" = "fare"."one_direction_cost" | 2.014648 |
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)
| What is the relationship between School_ID and All_Games_Percent , and group by attribute All_Games? | SELECT School_ID, All_Games_Percent FROM basketball_match GROUP BY All_Games | SELECT "School_ID", "All_Games_Percent" FROM "basketball_match" GROUP BY "All_Games" | 0.082031 |
CREATE TABLE table_name_56 (notes VARCHAR2, time VARCHAR2)
| What were the notes for the time of 6:34.51? | SELECT notes FROM table_name_56 WHERE time = "6:34.51" | SELECT "notes" FROM "table_name_56" WHERE "6:34.51" = "time" | 0.058594 |
CREATE TABLE table_6511 ("Year" FLOAT, "Class" CLOB, "Team" CLOB, "Points" FLOAT, "Rank" CLOB, "Wins" FLOAT)
| What is the lowest wins with points larger than 46, and a rank of 10th? | SELECT MIN("Wins") FROM table_6511 WHERE "Points" > '46' AND "Rank" = '10th' | SELECT MIN("Wins") FROM "table_6511" WHERE "Points" > '46' AND "Rank" = '10th' | 0.076172 |
CREATE TABLE table_name_88 (rider VARCHAR2, time VARCHAR2, bike VARCHAR2, laps VARCHAR2, grid VARCHAR2)
| Who was the rider with more than 5 laps on a grid bigger than 29 on a Honda CBR600RR and time at +1:27.385? | SELECT rider FROM table_name_88 WHERE laps > 5 AND grid > 29 AND bike = "honda cbr600rr" AND time = "+1:27.385" | SELECT "rider" FROM "table_name_88" WHERE "+1:27.385" = "time" AND "bike" = "honda cbr600rr" AND "grid" > 29 AND "laps" > 5 | 0.120117 |
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 allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime 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 diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
| how much is patient 028-11360's respiration differing measured at 2102-08-01 00:52:07 compared to the value measured at 2102-08-01 00:47:07? | SELECT (SELECT vitalperiodic.respiration FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '028-11360')) AND NOT vitalperiodic.respiration IS NULL AND vitalperiodic.observationtime = '2102-08-01 00:52:07') - (SELECT vitalperiodic.respiration FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '028-11360')) AND NOT vitalperiodic.respiration IS NULL AND vitalperiodic.observationtime = '2102-08-01 00:47:07') | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '028-11360' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid"), "_u_4" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_3" ON "_u_3"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_3"."" IS NULL GROUP BY "patientunitstayid") SELECT (SELECT "vitalperiodic"."respiration" FROM "vitalperiodic" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE "vitalperiodic"."observationtime" = '2102-08-01 00:52:07' AND NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."respiration" IS NULL) - (SELECT "vitalperiodic"."respiration" FROM "vitalperiodic" LEFT JOIN "_u_4" "_u_4" ON "_u_4"."" = "vitalperiodic"."patientunitstayid" WHERE "vitalperiodic"."observationtime" = '2102-08-01 00:47:07' AND NOT "_u_4"."" IS NULL AND NOT "vitalperiodic"."respiration" IS NULL) | 1.078125 |
CREATE TABLE table_77448 ("Game" CLOB, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Dolphins' points" CLOB, "Opponents' Points" CLOB, "Record" CLOB, "Streak" CLOB, "Attendance" CLOB)
| What is the streak for game 16 when the Dolphins had 21 points? | SELECT "Streak" FROM table_77448 WHERE "Dolphins' points" = '21' AND "Game" = '16' | SELECT "Streak" FROM "table_77448" WHERE "Dolphins' points" = '21' AND "Game" = '16' | 0.082031 |
CREATE TABLE table_43842 ("School" CLOB, "Location" CLOB, "Founded" FLOAT, "Affiliation" CLOB, "Nickname" CLOB)
| What is the affiliation of the University of Maryland? | SELECT "Affiliation" FROM table_43842 WHERE "School" = 'university of maryland' | SELECT "Affiliation" FROM "table_43842" WHERE "School" = 'university of maryland' | 0.079102 |
CREATE TABLE table_1012730_1 (avg_finish VARCHAR2, year VARCHAR2)
| In 2012 what was the average finish? | SELECT avg_finish FROM table_1012730_1 WHERE year = 2012 | SELECT "avg_finish" FROM "table_1012730_1" WHERE "year" = 2012 | 0.060547 |
CREATE TABLE table_14310 ("Date" CLOB, "Opponent" CLOB, "City" CLOB, "Result" CLOB, "Score" CLOB)
| What was the result of the game versus Tulsa? | SELECT "Result" FROM table_14310 WHERE "Opponent" = 'tulsa' | SELECT "Result" FROM "table_14310" WHERE "Opponent" = 'tulsa' | 0.05957 |
CREATE TABLE table_test_25 ("id" NUMBER, "ejection_fraction_ef" NUMBER, "respiratory_tract_infection" BOOLEAN, "left_ventricular_ejection_fraction_lvef" NUMBER, "intra_aortic_balloon_pump_iabp" BOOLEAN, "systolic_blood_pressure_sbp" NUMBER, "central_diabetes_insipidus" BOOLEAN, "hyponatremia" BOOLEAN, "heart_disease" BOOLEAN, "stroke" BOOLEAN, "body_weight" FLOAT, "neutrophil_count" NUMBER, "renal_disease" BOOLEAN, "creatinine_clearance_cl" FLOAT, "neutropenia" NUMBER, "estimated_glomerular_filtration_rate_egfr" NUMBER, "hemodynamic_instability" BOOLEAN, "sepsis" BOOLEAN, "liver_disease" BOOLEAN, "serum_sodium_concentration" NUMBER, "heart_rate" NUMBER, "malignancy" BOOLEAN, "severe_left_ventricular_dysfunction" BOOLEAN, "NOUSE" FLOAT)
| hemodynamically unstable patients ( systolic blood pressure < 90 mmhg or heart rate > 110 beats / minute or presence of an intra _ aortic balloon pump ) | SELECT * FROM table_test_25 WHERE hemodynamic_instability = 1 OR systolic_blood_pressure_sbp < 90 OR heart_rate > 110 OR intra_aortic_balloon_pump_iabp = 1 | SELECT * FROM "table_test_25" WHERE "heart_rate" > 110 OR "hemodynamic_instability" = 1 OR "intra_aortic_balloon_pump_iabp" = 1 OR "systolic_blood_pressure_sbp" < 90 | 0.161133 |
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 lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is the drug type and name for the drug code tacr1? | SELECT prescriptions.drug_type, prescriptions.drug FROM prescriptions WHERE prescriptions.formulary_drug_cd = "TACR1" | SELECT "prescriptions"."drug_type", "prescriptions"."drug" FROM "prescriptions" WHERE "TACR1" = "prescriptions"."formulary_drug_cd" | 0.12793 |
CREATE TABLE table_204_194 (id NUMBER, "outcome" CLOB, "edition" NUMBER, "round" CLOB, "opponent team" CLOB, "surface" CLOB, "opponent" CLOB, "score" CLOB)
| was the game versus canada later than the game versus belgium ? | SELECT (SELECT "edition" FROM table_204_194 WHERE "opponent team" = 'canada') > (SELECT "edition" FROM table_204_194 WHERE "opponent team" = 'belgium') | SELECT (SELECT "edition" FROM "table_204_194" WHERE "opponent team" = 'belgium') < (SELECT "edition" FROM "table_204_194" WHERE "opponent team" = 'canada') | 0.151367 |
CREATE TABLE table_22322 ("Rank" FLOAT, "Place" CLOB, "County" CLOB, "Per Capita Income" CLOB, "Median House- hold Income" CLOB, "Population" FLOAT, "Number of Households" FLOAT)
| If the median income is $57,407, what is the per capita income? | SELECT "Per Capita Income" FROM table_22322 WHERE "Median House- hold Income" = '$57,407' | SELECT "Per Capita Income" FROM "table_22322" WHERE "Median House- hold Income" = '$57,407' | 0.088867 |
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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
| count the number of patients that are diagnosed with int inf clstrdium dfcile until 3 years ago. | SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE admissions.hadm_id IN (SELECT diagnoses_icd.hadm_id FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'int inf clstrdium dfcile') AND DATETIME(diagnoses_icd.charttime) <= DATETIME(CURRENT_TIME(), '-3 year')) | WITH "_u_1" AS (SELECT "diagnoses_icd"."hadm_id" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'int inf clstrdium dfcile' WHERE DATETIME("diagnoses_icd"."charttime") <= DATETIME(CURRENT_TIME(), '-3 year') GROUP BY "hadm_id") SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "admissions" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "admissions"."hadm_id" WHERE NOT "_u_1"."" IS NULL | 0.46875 |
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE 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 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)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
| For those employees who did not have any job in the past, find hire_date and the sum of manager_id bin hire_date by weekday, and visualize them by a bar chart. | SELECT HIRE_DATE, SUM(MANAGER_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) | SELECT "HIRE_DATE", SUM("MANAGER_ID") FROM "employees" WHERE NOT "EMPLOYEE_ID" IN (SELECT "EMPLOYEE_ID" FROM "job_history") | 0.120117 |
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
| tell me the name of the first specimen test that patient 031-24513 until 08/2104 received? | SELECT microlab.culturesite FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-24513')) AND STRFTIME('%y-%m', microlab.culturetakentime) <= '2104-08' ORDER BY microlab.culturetakentime 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 "microlab"."culturesite" FROM "microlab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "microlab"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m', "microlab"."culturetakentime") <= '2104-08' ORDER BY "microlab"."culturetakentime" FETCH FIRST 1 ROWS ONLY | 0.614258 |
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 ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange 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 ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE 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 PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
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 PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskTypes (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 CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE 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)
| Most popular StackOverflow tags in 2015. | SELECT num.TagName AS Tag, ROW_NUMBER() OVER (ORDER BY rate.Rate DESC) AS Rank2015, ROW_NUMBER() OVER (ORDER BY num.Num DESC) AS TotalRank, rate.Rate AS QuestionsIn2015, num.Num AS QuestionsTotal FROM (SELECT COUNT(PostId) AS Rate, TagName FROM Tags, PostTags, Posts WHERE Tags.Id = PostTags.TagId AND Posts.Id = PostId AND Posts.CreationDate < '2015-12-31' AND Posts.CreationDate > '2015-01-01' GROUP BY TagName) AS rate INNER JOIN (SELECT COUNT(PostId) AS Num, TagName FROM Tags, PostTags, Posts WHERE Tags.Id = PostTags.TagId AND Posts.Id = PostId GROUP BY TagName HAVING COUNT(PostId) > 200) AS num ON rate.TagName = num.TagName ORDER BY rate.rate DESC | WITH "rate" AS (SELECT COUNT("PostId") AS "Rate", "TagName" FROM "Tags" JOIN "Posts" ON "PostId" = "Posts"."Id" AND "Posts"."CreationDate" < '2015-12-31' AND "Posts"."CreationDate" > '2015-01-01' JOIN "PostTags" ON "PostTags"."TagId" = "Tags"."Id" GROUP BY "TagName"), "num" AS (SELECT COUNT("PostId") AS "Num", "TagName" FROM "Tags" JOIN "Posts" ON "PostId" = "Posts"."Id" JOIN "PostTags" ON "PostTags"."TagId" = "Tags"."Id" GROUP BY "TagName" HAVING COUNT("PostId") > 200) SELECT "num"."TagName" AS "Tag", ROW_NUMBER() OVER (ORDER BY "rate"."Rate" DESC) AS "Rank2015", ROW_NUMBER() OVER (ORDER BY "num"."Num" DESC) AS "TotalRank", "rate"."Rate" AS "QuestionsIn2015", "num"."Num" AS "QuestionsTotal" FROM "rate" "rate" JOIN "num" "num" ON "num"."TagName" = "rate"."TagName" ORDER BY "rate"."rate" DESC | 0.783203 |
CREATE TABLE table_2071644_2 (weight__kg_m_ VARCHAR2, cross_section_area__cm_2__ VARCHAR2)
| What is the weight with a cross section area of 25.3? | SELECT weight__kg_m_ FROM table_2071644_2 WHERE cross_section_area__cm_2__ = "25.3" | SELECT "weight__kg_m_" FROM "table_2071644_2" WHERE "25.3" = "cross_section_area__cm_2__" | 0.086914 |
CREATE TABLE table_63363 ("Name" CLOB, "Network" CLOB, "Owner" CLOB, "Launch date" CLOB, "Channel ( BKK ) " CLOB, "Broadcasting area" CLOB, "Transmitted area" CLOB, "Broadcasting hours" CLOB)
| What's the network of BBTV Channel 7? | SELECT "Network" FROM table_63363 WHERE "Name" = 'bbtv channel 7' | SELECT "Network" FROM "table_63363" WHERE "Name" = 'bbtv channel 7' | 0.06543 |
CREATE TABLE table_43853 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" FLOAT)
| What was the highest attendance on November 12, 1989? | SELECT MAX("Attendance") FROM table_43853 WHERE "Date" = 'november 12, 1989' | SELECT MAX("Attendance") FROM "table_43853" WHERE "Date" = 'november 12, 1989' | 0.076172 |
CREATE TABLE table_name_53 (first_elected NUMBER, district VARCHAR2)
| Which First elected has a District of south carolina 2? | SELECT MIN(first_elected) FROM table_name_53 WHERE district = "south carolina 2" | SELECT MIN("first_elected") FROM "table_name_53" WHERE "district" = "south carolina 2" | 0.083984 |
CREATE TABLE table_21436373_5 (date_year VARCHAR2, type_of_record VARCHAR2)
| For what year is the type of record 'total attendance-regular season? | SELECT date_year FROM table_21436373_5 WHERE type_of_record = "Total attendance-Regular season" | SELECT "date_year" FROM "table_21436373_5" WHERE "Total attendance-Regular season" = "type_of_record" | 0.098633 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| list the number of newborn patients who are female. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "F" AND demographic.diagnosis = "NEWBORN" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "F" = "demographic"."gender" AND "NEWBORN" = "demographic"."diagnosis" | 0.141602 |
CREATE TABLE table_39406 ("Round" FLOAT, "Pick #" FLOAT, "Overall" FLOAT, "Name" CLOB, "Position" CLOB, "College" CLOB)
| Which Position has an Overall larger than 147, and a Pick # of 21? | SELECT "Position" FROM table_39406 WHERE "Overall" > '147' AND "Pick #" = '21' | SELECT "Position" FROM "table_39406" WHERE "Overall" > '147' AND "Pick #" = '21' | 0.078125 |
CREATE TABLE table_name_30 (tie_no VARCHAR2, away_team VARCHAR2)
| What is the Tie no when the away team was Burnley? | SELECT tie_no FROM table_name_30 WHERE away_team = "burnley" | SELECT "tie_no" FROM "table_name_30" WHERE "away_team" = "burnley" | 0.064453 |
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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
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 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 transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE 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 diagnoses_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 d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
| what were the differences in arterial bp [systolic] of patient 28443 last measured on the current intensive care unit visit compared to the value second to last measured on the current intensive care unit visit? | SELECT (SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 28443) AND icustays.outtime IS NULL) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [systolic]' AND d_items.linksto = 'chartevents') ORDER BY chartevents.charttime DESC LIMIT 1) - (SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 28443) AND icustays.outtime IS NULL) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [systolic]' AND d_items.linksto = 'chartevents') ORDER BY chartevents.charttime DESC LIMIT 1 OFFSET 1) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 28443 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE "icustays"."outtime" IS NULL AND NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'arterial bp [systolic]' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid"), "_u_5" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_4" ON "_u_4"."" = "icustays"."hadm_id" WHERE "icustays"."outtime" IS NULL AND NOT "_u_4"."" IS NULL GROUP BY "icustay_id") SELECT (SELECT "chartevents"."valuenum" FROM "chartevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL ORDER BY "chartevents"."charttime" DESC FETCH FIRST 1 ROWS ONLY) - (SELECT "chartevents"."valuenum" FROM "chartevents" LEFT JOIN "_u_5" "_u_5" ON "_u_5"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" "_u_6" ON "_u_6"."" = "chartevents"."itemid" WHERE NOT "_u_5"."" IS NULL AND NOT "_u_6"."" IS NULL ORDER BY "chartevents"."charttime" DESC OFFSET 1 ROWS FETCH FIRST 1 ROWS ONLY) | 1.282227 |
CREATE TABLE table_62930 ("Campus" CLOB, "Year opened" CLOB, "Students" CLOB, "Size" CLOB, "Location" CLOB)
| What campus was opened in 1977? | SELECT "Campus" FROM table_62930 WHERE "Year opened" = '1977' | SELECT "Campus" FROM "table_62930" WHERE "Year opened" = '1977' | 0.061523 |
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR2, DEPT_NAME VARCHAR2, SCHOOL_CODE VARCHAR2, EMP_NUM NUMBER, DEPT_ADDRESS VARCHAR2, DEPT_EXTENSION VARCHAR2)
CREATE TABLE EMPLOYEE (EMP_NUM NUMBER, EMP_LNAME VARCHAR2, EMP_FNAME VARCHAR2, EMP_INITIAL VARCHAR2, EMP_JOBCODE VARCHAR2, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
CREATE TABLE ENROLL (CLASS_CODE VARCHAR2, STU_NUM NUMBER, ENROLL_GRADE VARCHAR2)
CREATE TABLE COURSE (CRS_CODE VARCHAR2, DEPT_CODE VARCHAR2, CRS_DESCRIPTION VARCHAR2, CRS_CREDIT FLOAT)
CREATE TABLE STUDENT (STU_NUM NUMBER, STU_LNAME VARCHAR2, STU_FNAME VARCHAR2, STU_INIT VARCHAR2, STU_DOB DATETIME, STU_HRS NUMBER, STU_CLASS VARCHAR2, STU_GPA FLOAT, STU_TRANSFER NUMBER, DEPT_CODE VARCHAR2, STU_PHONE VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE PROFESSOR (EMP_NUM NUMBER, DEPT_CODE VARCHAR2, PROF_OFFICE VARCHAR2, PROF_EXTENSION VARCHAR2, PROF_HIGH_DEGREE VARCHAR2)
CREATE TABLE CLASS (CLASS_CODE VARCHAR2, CRS_CODE VARCHAR2, CLASS_SECTION VARCHAR2, CLASS_TIME VARCHAR2, CLASS_ROOM VARCHAR2, PROF_NUM NUMBER)
| A bar chart about how many professors have a PhD in each department?, and I want to display by the Y from low to high. | SELECT DEPT_CODE, COUNT(*) FROM PROFESSOR WHERE PROF_HIGH_DEGREE = 'Ph.D.' GROUP BY DEPT_CODE ORDER BY COUNT(*) | SELECT "DEPT_CODE", COUNT(*) FROM "PROFESSOR" WHERE "PROF_HIGH_DEGREE" = 'Ph.D.' GROUP BY "DEPT_CODE" ORDER BY COUNT(*) | 0.116211 |
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE 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 vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
| count the number of times that nitroglycerin 50 mg in d5w 250 ml r has been prescribed until 2103. | SELECT COUNT(*) FROM medication WHERE medication.drugname = 'nitroglycerin 50 mg in d5w 250 ml r' AND STRFTIME('%y', medication.drugstarttime) <= '2103' | SELECT COUNT(*) FROM "medication" WHERE "medication"."drugname" = 'nitroglycerin 50 mg in d5w 250 ml r' AND STRFTIME('%y', "medication"."drugstarttime") <= '2103' | 0.158203 |
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 PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE 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 ReviewTaskStates (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)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
| JSP thread volume with accepted answers by month. | SELECT COUNT(*) AS AnsweredVolume, TIME_TO_STR(P.CreationDate, '%Y') AS "year", TIME_TO_STR(P.CreationDate, '%m') AS Month FROM Posts AS P WHERE (Tags LIKE '%<jsp%') AND PostTypeId = 1 AND CommunityOwnedDate IS NULL AND ClosedDate IS NULL AND AcceptedAnswerId > 0 GROUP BY TIME_TO_STR(P.CreationDate, '%YEAR'), TIME_TO_STR(P.CreationDate, '%-mONT%-H') ORDER BY 'year', Month | SELECT COUNT(*) AS "AnsweredVolume", TO_CHAR("P"."CreationDate", 'YYYY') AS "year", TO_CHAR("P"."CreationDate", 'MM') AS "Month" FROM "Posts" "P" WHERE "AcceptedAnswerId" > 0 AND "ClosedDate" IS NULL AND "CommunityOwnedDate" IS NULL AND "PostTypeId" = 1 AND "Tags" LIKE '%<jsp%' GROUP BY TO_CHAR("P"."CreationDate", 'YYYYEAR'), TO_CHAR("P"."CreationDate", '%-mONT%-H') ORDER BY 'year', "Month" | 0.383789 |
CREATE TABLE table_72240 ("#" FLOAT, "Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Leading scorer" CLOB, "Attendance" CLOB, "Record" CLOB, "Streak" CLOB)
| what records have a score of l 109 116 2 ot | SELECT "Record" FROM table_72240 WHERE "Score" = 'L 109–116 2 OT' | SELECT "Record" FROM "table_72240" WHERE "Score" = 'L 109–116 2 OT' | 0.06543 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE 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)
| count the number of patients with lab test item id 50801 who had delta abnormal lab test status. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE lab.itemid = "50801" AND lab.flag = "delta" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "50801" = "lab"."itemid" AND "delta" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.175781 |
CREATE TABLE Ref_Characteristic_Types (characteristic_type_code VARCHAR2, characteristic_type_description VARCHAR2)
CREATE TABLE Ref_Product_Categories (product_category_code VARCHAR2, product_category_description VARCHAR2, unit_of_measure VARCHAR2)
CREATE TABLE Characteristics (characteristic_id NUMBER, characteristic_type_code VARCHAR2, characteristic_data_type VARCHAR2, characteristic_name VARCHAR2, other_characteristic_details VARCHAR2)
CREATE TABLE Ref_Colors (color_code VARCHAR2, color_description VARCHAR2)
CREATE TABLE Product_Characteristics (product_id NUMBER, characteristic_id NUMBER, product_characteristic_value VARCHAR2)
CREATE TABLE Products (product_id NUMBER, color_code VARCHAR2, product_category_code VARCHAR2, product_name VARCHAR2, typical_buying_price VARCHAR2, typical_selling_price VARCHAR2, product_description VARCHAR2, other_product_details VARCHAR2)
| What are the descriptions of the categories that products with product descriptions that contain the letter t are in, and count them by a bar chart, could you rank x axis from low to high order? | SELECT product_category_description, COUNT(product_category_description) FROM Ref_Product_Categories AS T1 JOIN Products AS T2 ON T1.product_category_code = T2.product_category_code WHERE T2.product_description LIKE '%t%' GROUP BY product_category_description ORDER BY product_category_description | SELECT "product_category_description", COUNT("product_category_description") FROM "Ref_Product_Categories" "T1" JOIN "Products" "T2" ON "T1"."product_category_code" = "T2"."product_category_code" AND "T2"."product_description" LIKE '%t%' GROUP BY "product_category_description" ORDER BY "product_category_description" | 0.30957 |
CREATE TABLE table_79683 ("Game" FLOAT, "Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Record" CLOB)
| What opponent played on 1/13/1974? | SELECT "Opponent" FROM table_79683 WHERE "Date" = '1/13/1974' | SELECT "Opponent" FROM "table_79683" WHERE "Date" = '1/13/1974' | 0.061523 |
CREATE TABLE table_name_24 (Id VARCHAR2)
| Which 2003 has a 2012 of 1 4? | SELECT 2003 FROM table_name_24 WHERE 2012 = "1–4" | SELECT 2003 FROM "table_name_24" WHERE "1–4" = 2012 | 0.049805 |
CREATE TABLE table_204_299 (id NUMBER, "name of place" CLOB, "number of counties" NUMBER, "principal county" CLOB, "lower zip code" NUMBER)
| does pulaski county have more cities beginning with the letter a than montgomery county ? | SELECT (SELECT COUNT(*) FROM table_204_299 WHERE "principal county" = 'pulaski county') > (SELECT COUNT(*) FROM table_204_299 WHERE "principal county" = 'montgomery county') | WITH "_u_0" AS (SELECT COUNT(*), 'pulaski county' AS "_u_1" FROM "table_204_299" GROUP BY 'pulaski county'), "_u_2" AS (SELECT COUNT(*), 'montgomery county' AS "_u_3" FROM "table_204_299" GROUP BY 'montgomery county') SELECT COALESCE("_u_0"."", *) > COALESCE("_u_2"."", *) LEFT JOIN "_u_0" "_u_0" ON "_u_0"."_u_1" = "principal county" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."_u_3" = "principal county" | 0.386719 |
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
| For upper level courses , which does Cremonini teach ? | SELECT DISTINCT course.department, course.name, course.number FROM course INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN offering_instructor ON offering_instructor.offering_id = course_offering.offering_id INNER JOIN instructor ON offering_instructor.instructor_id = instructor.instructor_id INNER JOIN program_course ON program_course.course_id = course.course_id WHERE instructor.name LIKE '%Cremonini%' AND program_course.category LIKE 'ULCS' | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE 'ULCS' JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" AND "instructor"."name" LIKE '%Cremonini%' | 0.507813 |
CREATE TABLE table_65493 ("Name" CLOB, "Position" CLOB, "League Apps" CLOB, "League Goals" FLOAT, "FA Cup Apps" CLOB, "FA Cup Goals" FLOAT, "League Cup Apps" FLOAT, "League Cup Goals" FLOAT, "Total Apps" CLOB, "Total Goals" FLOAT)
| what is the sum of league goals when the fa cup goals is more than 0? | SELECT SUM("League Goals") FROM table_65493 WHERE "FA Cup Goals" > '0' | SELECT SUM("League Goals") FROM "table_65493" WHERE "FA Cup Goals" > '0' | 0.070313 |
CREATE TABLE table_23991 ("Round" FLOAT, "Pick #" FLOAT, "Player" CLOB, "Position" CLOB, "Height" CLOB, "Weight" CLOB, "College" CLOB, "Status" CLOB)
| howe many positions did wallace, mike mike wallace play for | SELECT COUNT("Position") FROM table_23991 WHERE "Player" = 'Wallace, Mike Mike Wallace' | SELECT COUNT("Position") FROM "table_23991" WHERE "Player" = 'Wallace, Mike Mike Wallace' | 0.086914 |
CREATE TABLE Student (Advisor VARCHAR2, StuID VARCHAR2)
| Who is the advisor of student with ID 1004? | SELECT Advisor FROM Student WHERE StuID = 1004 | SELECT "Advisor" FROM "Student" WHERE "StuID" = 1004 | 0.050781 |
CREATE TABLE table_name_39 (event VARCHAR2, year VARCHAR2)
| that was held in 1964? | SELECT event FROM table_name_39 WHERE year = 1964 | SELECT "event" FROM "table_name_39" WHERE "year" = 1964 | 0.053711 |
CREATE TABLE Settlements (Settlement_ID NUMBER, Claim_ID NUMBER, Date_Claim_Made DATE, Date_Claim_Settled DATE, Amount_Claimed NUMBER, Amount_Settled NUMBER, Customer_Policy_ID NUMBER)
CREATE TABLE Payments (Payment_ID NUMBER, Settlement_ID NUMBER, Payment_Method_Code VARCHAR2, Date_Payment_Made DATE, Amount_Payment NUMBER)
CREATE TABLE Customers (Customer_ID NUMBER, Customer_Details VARCHAR2)
CREATE TABLE Customer_Policies (Policy_ID NUMBER, Customer_ID NUMBER, Policy_Type_Code CHAR, Start_Date DATE, End_Date DATE)
CREATE TABLE Claims (Claim_ID NUMBER, Policy_ID NUMBER, Date_Claim_Made DATE, Date_Claim_Settled DATE, Amount_Claimed NUMBER, Amount_Settled NUMBER)
| Bar graph to show the average of amount payment from different payment method code, rank Payment_Method_Code in asc order. | SELECT Payment_Method_Code, AVG(Amount_Payment) FROM Payments GROUP BY Payment_Method_Code ORDER BY Payment_Method_Code | SELECT "Payment_Method_Code", AVG("Amount_Payment") FROM "Payments" GROUP BY "Payment_Method_Code" ORDER BY "Payment_Method_Code" | 0.125977 |
CREATE TABLE song (song_name VARCHAR2, artist_name VARCHAR2, country VARCHAR2, f_id NUMBER, genre_is VARCHAR2, rating NUMBER, languages VARCHAR2, releasedate DATE, resolution NUMBER)
CREATE TABLE genre (g_name VARCHAR2, rating VARCHAR2, most_popular_in VARCHAR2)
CREATE TABLE files (f_id NUMBER, artist_name VARCHAR2, file_size VARCHAR2, duration VARCHAR2, formats VARCHAR2)
CREATE TABLE artist (artist_name VARCHAR2, country VARCHAR2, gender VARCHAR2, preferred_genre VARCHAR2)
| What is the average song rating for each language. Plot them as bar chart. | SELECT languages, AVG(rating) FROM song GROUP BY languages | SELECT "languages", AVG("rating") FROM "song" GROUP BY "languages" | 0.064453 |
CREATE TABLE Complaints (complaint_id NUMBER, product_id NUMBER, customer_id NUMBER, complaint_outcome_code VARCHAR2, complaint_status_code VARCHAR2, complaint_type_code VARCHAR2, date_complaint_raised DATETIME, date_complaint_closed DATETIME, staff_id NUMBER)
CREATE TABLE Products (product_id NUMBER, parent_product_id NUMBER, product_category_code VARCHAR2, date_product_first_available DATETIME, date_product_discontinued DATETIME, product_name VARCHAR2, product_description VARCHAR2, product_price NUMBER)
CREATE TABLE Customers (customer_id NUMBER, customer_type_code VARCHAR2, address_line_1 VARCHAR2, address_line_2 VARCHAR2, town_city VARCHAR2, state VARCHAR2, email_address VARCHAR2, phone_number VARCHAR2)
CREATE TABLE Staff (staff_id NUMBER, gender VARCHAR2, first_name VARCHAR2, last_name VARCHAR2, email_address VARCHAR2, phone_number VARCHAR2)
| List the name of all products along with the number of complaints that they have received, sort in desc by the bars. | SELECT product_name, COUNT(*) FROM Products AS t1 JOIN Complaints AS t2 ON t1.product_id = t2.product_id GROUP BY t1.product_name ORDER BY product_name DESC | SELECT "product_name", COUNT(*) FROM "Products" "t1" JOIN "Complaints" "t2" ON "t1"."product_id" = "t2"."product_id" GROUP BY "t1"."product_name" ORDER BY "product_name" DESC | 0.169922 |
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
| what specimen test was given for the last time to patient 16088 on the first hospital visit? | SELECT microbiologyevents.spec_type_desc FROM microbiologyevents WHERE microbiologyevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 16088 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime LIMIT 1) ORDER BY microbiologyevents.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 16088 AND NOT "admissions"."dischtime" IS NULL GROUP BY "hadm_id" ORDER BY "admissions"."admittime" FETCH FIRST 1 ROWS ONLY) SELECT "microbiologyevents"."spec_type_desc" FROM "microbiologyevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "microbiologyevents"."hadm_id" WHERE NOT "_u_0"."" IS NULL ORDER BY "microbiologyevents"."charttime" DESC FETCH FIRST 1 ROWS ONLY | 0.451172 |
CREATE TABLE table_62445 ("Elected" CLOB, "Assembled" CLOB, "Dissolved" CLOB, "1st member" CLOB, "2nd member" CLOB)
| Who was the 1st member of the parliament that was dissolved 23 february 1510? | SELECT "1st member" FROM table_62445 WHERE "Dissolved" = '23 february 1510' | SELECT "1st member" FROM "table_62445" WHERE "Dissolved" = '23 february 1510' | 0.075195 |
CREATE TABLE match (Match_ID NUMBER, Date CLOB, Venue CLOB, Score CLOB, Result CLOB, Competition CLOB)
CREATE TABLE city (City_ID NUMBER, City CLOB, Hanzi CLOB, Hanyu_Pinyin CLOB, Regional_Population NUMBER, GDP FLOAT)
CREATE TABLE temperature (City_ID NUMBER, Jan FLOAT, Feb FLOAT, Mar FLOAT, Apr FLOAT, Jun FLOAT, Jul FLOAT, Aug FLOAT, Sep FLOAT, Oct FLOAT, Nov FLOAT, Dec FLOAT)
CREATE TABLE hosting_city (Year NUMBER, Match_ID NUMBER, Host_City CLOB)
| Bar chart x axis competition y axis the total number | SELECT Competition, COUNT(*) FROM match GROUP BY Competition | SELECT "Competition", COUNT(*) FROM "match" GROUP BY "Competition" | 0.064453 |
CREATE TABLE table_66051 ("Round ( Leg ) " CLOB, "Date" CLOB, "Opponent" CLOB, "Venue" CLOB, "Result" CLOB, "Attendance" FLOAT)
| What date has 3 as the round (leg)? | SELECT "Date" FROM table_66051 WHERE "Round (Leg)" = '3' | SELECT "Date" FROM "table_66051" WHERE "Round (Leg)" = '3' | 0.056641 |
CREATE TABLE table_name_58 (region VARCHAR2, format VARCHAR2, catalog VARCHAR2)
| What is the region of the release of a CD with catalog 32xa-119? | SELECT region FROM table_name_58 WHERE format = "cd" AND catalog = "32xa-119" | SELECT "region" FROM "table_name_58" WHERE "32xa-119" = "catalog" AND "cd" = "format" | 0.083008 |
CREATE TABLE table_name_7 (draws VARCHAR2, golden_rivers VARCHAR2, losses VARCHAR2, wins VARCHAR2)
| What is the total number of draws for Wakool when there are more than 11 losses and fewer than 4 wins? | SELECT COUNT(draws) FROM table_name_7 WHERE losses > 11 AND wins < 4 AND golden_rivers = "wakool" | SELECT COUNT("draws") FROM "table_name_7" WHERE "golden_rivers" = "wakool" AND "losses" > 11 AND "wins" < 4 | 0.104492 |
CREATE TABLE addresses (address_id NUMBER, address_details CLOB)
CREATE TABLE documents_mailed (document_id NUMBER, mailed_to_address_id NUMBER, mailing_date TIME)
CREATE TABLE ref_shipping_agents (shipping_agent_code CLOB, shipping_agent_name CLOB, shipping_agent_description CLOB)
CREATE TABLE roles (role_code CLOB, role_description CLOB)
CREATE TABLE employees (employee_id NUMBER, role_code CLOB, employee_name CLOB, other_details CLOB)
CREATE TABLE documents (document_id NUMBER, document_status_code CLOB, document_type_code CLOB, shipping_agent_code CLOB, receipt_date TIME, receipt_number CLOB, other_details CLOB)
CREATE TABLE circulation_history (document_id NUMBER, draft_number NUMBER, copy_number NUMBER, employee_id NUMBER)
CREATE TABLE document_drafts (document_id NUMBER, draft_number NUMBER, draft_details CLOB)
CREATE TABLE ref_document_types (document_type_code CLOB, document_type_description CLOB)
CREATE TABLE draft_copies (document_id NUMBER, draft_number NUMBER, copy_number NUMBER)
CREATE TABLE ref_document_status (document_status_code CLOB, document_status_description CLOB)
| What is the shipping agent code of shipping agent UPS? | SELECT shipping_agent_code FROM ref_shipping_agents WHERE shipping_agent_name = "UPS" | SELECT "shipping_agent_code" FROM "ref_shipping_agents" WHERE "UPS" = "shipping_agent_name" | 0.088867 |
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
| What are the average prices of products, grouped by manufacturer code. Visualize by scatter chart. | SELECT AVG(Price), Manufacturer FROM Products GROUP BY Manufacturer | SELECT AVG("Price"), "Manufacturer" FROM "Products" GROUP BY "Manufacturer" | 0.073242 |
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant 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 date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name 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 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 flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name 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 city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code 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)
| i'm looking for a flight that goes from ONTARIO to WESTCHESTER COUNTY and stops in CHICAGO | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, airport_service AS AIRPORT_SERVICE_2, city AS CITY_0, city AS CITY_1, city AS CITY_2, flight, flight_stop WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'WESTCHESTER COUNTY' AND CITY_2.city_code = AIRPORT_SERVICE_2.city_code AND CITY_2.city_name = 'CHICAGO' AND flight_stop.stop_airport = AIRPORT_SERVICE_2.airport_code AND flight.flight_id = flight_stop.flight_id AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'ONTARIO' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | 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" = 'ONTARIO' 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_stop" ON "flight"."flight_id" = "flight_stop"."flight_id" JOIN "airport_service" "AIRPORT_SERVICE_2" ON "AIRPORT_SERVICE_2"."airport_code" = "flight_stop"."stop_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'WESTCHESTER COUNTY' JOIN "city" "CITY_2" ON "AIRPORT_SERVICE_2"."city_code" = "CITY_2"."city_code" AND "CITY_2"."city_name" = 'CHICAGO' | 0.785156 |
CREATE TABLE artist (artist_name CLOB, country CLOB, gender CLOB, preferred_genre CLOB)
CREATE TABLE files (f_id NUMBER, artist_name CLOB, file_size CLOB, duration CLOB, formats CLOB)
CREATE TABLE genre (g_name CLOB, rating CLOB, most_popular_in CLOB)
CREATE TABLE song (song_name CLOB, artist_name CLOB, country CLOB, f_id NUMBER, genre_is CLOB, rating NUMBER, languages CLOB, releasedate TIME, resolution NUMBER)
| What are the maximum and minimum resolution of songs whose duration is 3 minutes? | SELECT MAX(T2.resolution), MIN(T2.resolution) FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id WHERE T1.duration LIKE "3:%" | SELECT MAX("T2"."resolution"), MIN("T2"."resolution") FROM "files" "T1" JOIN "song" "T2" ON "T1"."f_id" = "T2"."f_id" WHERE "T1"."duration" LIKE "3:%" | 0.146484 |
CREATE TABLE table_11965 ("Race" CLOB, "Date" CLOB, "Location" CLOB, "Pole Position" CLOB, "Fastest Lap" CLOB, "Race Winner" CLOB, "Constructor" CLOB, "Report" CLOB)
| Who was the winner of the race in monza? | SELECT "Race Winner" FROM table_11965 WHERE "Location" = 'monza' | SELECT "Race Winner" FROM "table_11965" WHERE "Location" = 'monza' | 0.064453 |
CREATE TABLE table_name_16 (school_club_team VARCHAR2, round NUMBER)
| Which School/Club Team has a Round larger than 16? | SELECT school_club_team FROM table_name_16 WHERE round > 16 | SELECT "school_club_team" FROM "table_name_16" WHERE "round" > 16 | 0.063477 |
CREATE TABLE ref_locations (location_code CLOB, location_name CLOB, location_description CLOB)
CREATE TABLE ref_calendar (calendar_date TIME, day_number NUMBER)
CREATE TABLE roles (role_code CLOB, role_name CLOB, role_description CLOB)
CREATE TABLE document_locations (document_id NUMBER, location_code CLOB, date_in_location_from TIME, date_in_locaton_to TIME)
CREATE TABLE all_documents (document_id NUMBER, date_stored TIME, document_type_code CLOB, document_name CLOB, document_description CLOB, other_details CLOB)
CREATE TABLE ref_document_types (document_type_code CLOB, document_type_name CLOB, document_type_description CLOB)
CREATE TABLE documents_to_be_destroyed (document_id NUMBER, destruction_authorised_by_employee_id NUMBER, destroyed_by_employee_id NUMBER, planned_destruction_date TIME, actual_destruction_date TIME, other_details CLOB)
CREATE TABLE employees (employee_id NUMBER, role_code CLOB, employee_name CLOB, gender_mfu CLOB, date_of_birth TIME, other_details CLOB)
| Give me the name and description of the document type code RV. | SELECT document_type_name, document_type_description FROM ref_document_types WHERE document_type_code = "RV" | SELECT "document_type_name", "document_type_description" FROM "ref_document_types" WHERE "RV" = "document_type_code" | 0.113281 |
CREATE TABLE table_203_3 (id NUMBER, "province" CLOB, "capital" CLOB, "population" NUMBER, "density" CLOB, "municipalities" CLOB, "legal districts" NUMBER)
| which province in andalusia has the highest density ? | SELECT "province" FROM table_203_3 ORDER BY "density" DESC LIMIT 1 | SELECT "province" FROM "table_203_3" ORDER BY "density" DESC FETCH FIRST 1 ROWS ONLY | 0.082031 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
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)
| what is the number of patients who died in or before 2131 with procedure other skin & subq i & d? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.dod_year <= "2131.0" AND procedures.short_title = "Other skin & subq i & d" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Other skin & subq i & d" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "2131.0" >= "demographic"."dod_year" | 0.234375 |
CREATE TABLE video_games (gameid NUMBER, gname CLOB, gtype CLOB)
CREATE TABLE student (stuid NUMBER, lname CLOB, fname CLOB, age NUMBER, sex CLOB, major NUMBER, advisor NUMBER, city_code CLOB)
CREATE TABLE plays_games (stuid NUMBER, gameid NUMBER, hours_played NUMBER)
CREATE TABLE sportsinfo (stuid NUMBER, sportname CLOB, hoursperweek NUMBER, gamesplayed NUMBER, onscholarship CLOB)
| What are the ids of all students who don't play sports? | SELECT stuid FROM student EXCEPT SELECT stuid FROM sportsinfo | SELECT "stuid" FROM "student" EXCEPT SELECT "stuid" FROM "sportsinfo" | 0.067383 |
CREATE TABLE table_15001957_1 (womens_doubles VARCHAR2, mens_singles VARCHAR2)
| How may women doubles winner were there when Philippe Aulner was mens singles winner? | SELECT COUNT(womens_doubles) FROM table_15001957_1 WHERE mens_singles = "Philippe Aulner" | SELECT COUNT("womens_doubles") FROM "table_15001957_1" WHERE "Philippe Aulner" = "mens_singles" | 0.092773 |
CREATE TABLE table_56350 ("Race" CLOB, "Date" CLOB, "Location" CLOB, "Pole Position" CLOB, "Fastest Lap" CLOB, "Race Winner" CLOB, "Constructor" CLOB, "Report" CLOB)
| Who had the fastest lap at the German Grand Prix? | SELECT "Fastest Lap" FROM table_56350 WHERE "Race" = 'german grand prix' | SELECT "Fastest Lap" FROM "table_56350" WHERE "Race" = 'german grand prix' | 0.072266 |
CREATE TABLE table_name_47 (record VARCHAR2, date VARCHAR2)
| What is the Record with a Date with 24 march 2008? | SELECT record FROM table_name_47 WHERE date = "24 march 2008" | SELECT "record" FROM "table_name_47" WHERE "24 march 2008" = "date" | 0.06543 |
CREATE TABLE table_name_30 (name VARCHAR2, episode_number VARCHAR2)
| Which contestant was associated with episode 34? | SELECT name FROM table_name_30 WHERE episode_number = "episode 34" | SELECT "name" FROM "table_name_30" WHERE "episode 34" = "episode_number" | 0.070313 |
CREATE TABLE table_49663 ("Year" FLOAT, "Class" CLOB, "Team" CLOB, "Points" FLOAT, "Wins" FLOAT)
| How many Points has Wins larger than 0? | SELECT COUNT("Points") FROM table_49663 WHERE "Wins" > '0' | SELECT COUNT("Points") FROM "table_49663" WHERE "Wins" > '0' | 0.058594 |
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
| For those records from the products and each product's manufacturer, find founder and the average of manufacturer , and group by attribute founder, and visualize them by a bar chart, and could you sort by the X in desc? | SELECT Founder, AVG(Manufacturer) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder ORDER BY Founder DESC | SELECT "Founder", AVG("Manufacturer") FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Founder" ORDER BY "Founder" DESC | 0.160156 |
CREATE TABLE table_24481478_1 (kickoff VARCHAR2, date VARCHAR2)
| What time did the game start on saturday, april 20? | SELECT kickoff FROM table_24481478_1 WHERE date = "Saturday, April 20" | SELECT "kickoff" FROM "table_24481478_1" WHERE "Saturday, April 20" = "date" | 0.074219 |
CREATE TABLE table_65510 ("Club" CLOB, "League/Division" CLOB, "Home Ground" CLOB, "Location" CLOB, "Position in 2012-13" CLOB)
| What Location is in the second division and has 4th, third division (promoted) as its Position in 2012-13? | SELECT "Location" FROM table_65510 WHERE "League/Division" = 'second division' AND "Position in 2012-13" = '4th, third division (promoted)' | SELECT "Location" FROM "table_65510" WHERE "League/Division" = 'second division' AND "Position in 2012-13" = '4th, third division (promoted)' | 0.137695 |
CREATE TABLE table_28165 ("Village" CLOB, "Area km\\u00b2" CLOB, "Population ( 2000 census ) " FLOAT, "Region" CLOB, "Pop. Density" FLOAT)
| What region is inarajan in? | SELECT "Region" FROM table_28165 WHERE "Village" = 'Inarajan' | SELECT "Region" FROM "table_28165" WHERE "Village" = 'Inarajan' | 0.061523 |
CREATE TABLE election (election_id NUMBER, counties_represented CLOB, district NUMBER, delegate CLOB, party NUMBER, first_elected NUMBER, committee CLOB)
CREATE TABLE party (party_id NUMBER, year NUMBER, party CLOB, governor CLOB, lieutenant_governor CLOB, comptroller CLOB, attorney_general CLOB, us_senate CLOB)
CREATE TABLE county (county_id NUMBER, county_name CLOB, population NUMBER, zip_code CLOB)
| Who were the comptrollers of the parties associated with the delegates from district 1 or district 2? | SELECT T2.comptroller FROM election AS T1 JOIN party AS T2 ON T1.party = T2.party_id WHERE T1.district = 1 OR T1.district = 2 | SELECT "T2"."comptroller" FROM "election" "T1" JOIN "party" "T2" ON "T1"."party" = "T2"."party_id" WHERE "T1"."district" = 1 OR "T1"."district" = 2 | 0.143555 |
CREATE TABLE table_73485 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Production code" CLOB, "U.S. viewers ( millions ) " CLOB)
| Name the original air date for ' don't look a smith horse in the mouth | SELECT "Original air date" FROM table_73485 WHERE "Title" = ' Don''t Look a Smith Horse in the Mouth ' | SELECT "Original air date" FROM "table_73485" WHERE "Title" = ' Don''t Look a Smith Horse in the Mouth ' | 0.101563 |
CREATE TABLE table_27293285_6 (points VARCHAR2, won VARCHAR2)
| For teams that won exactly 15, how many points were scored? | SELECT points FROM table_27293285_6 WHERE won = "15" | SELECT "points" FROM "table_27293285_6" WHERE "15" = "won" | 0.056641 |
CREATE TABLE table_4375 ("Character" CLOB, "1954 Broadway" CLOB, "1955 broadcast" CLOB, "1960 broadcast" CLOB, "1979 Broadway" CLOB, "1990 Broadway" CLOB, "1991 Broadway" CLOB, "1998 Broadway" CLOB, "1999 Broadway" CLOB)
| Tell me the 1955 broadcast for kent fletcher | SELECT "1955 broadcast" FROM table_4375 WHERE "1960 broadcast" = 'kent fletcher' | SELECT "1955 broadcast" FROM "table_4375" WHERE "1960 broadcast" = 'kent fletcher' | 0.080078 |
CREATE TABLE table_9775 ("Res." CLOB, "Record" CLOB, "Opponent" CLOB, "Method" CLOB, "Event" CLOB, "Round" FLOAT, "Time" CLOB, "Location" CLOB)
| Which result has a Location of canada, and a Record of 3-3? | SELECT "Res." FROM table_9775 WHERE "Location" = 'canada' AND "Record" = '3-3' | SELECT "Res." FROM "table_9775" WHERE "Location" = 'canada' AND "Record" = '3-3' | 0.078125 |
CREATE TABLE table_34840 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Attendance" CLOB, "Record" CLOB)
| What was the score of the game when the record was 50-85? | SELECT "Score" FROM table_34840 WHERE "Record" = '50-85' | SELECT "Score" FROM "table_34840" WHERE "Record" = '50-85' | 0.056641 |
CREATE TABLE table_66307 ("Year" FLOAT, "Game" CLOB, "Genre" CLOB, "Platform ( s ) " CLOB, "Developer ( s ) " CLOB)
| what is the year for the game dead space 2? | SELECT "Year" FROM table_66307 WHERE "Game" = 'dead space 2' | SELECT "Year" FROM "table_66307" WHERE "Game" = 'dead space 2' | 0.060547 |
CREATE TABLE table_61965 ("Rank" CLOB, "Height" CLOB, "Name" CLOB, "Road number" CLOB, "Type" CLOB)
| What is the rad number for the dead end in rank 22? | SELECT "Road number" FROM table_61965 WHERE "Type" = 'dead end' AND "Rank" = '22' | SELECT "Road number" FROM "table_61965" WHERE "Rank" = '22' AND "Type" = 'dead end' | 0.081055 |
CREATE TABLE table_204_71 (id NUMBER, "rank" NUMBER, "heat" NUMBER, "name" CLOB, "nationality" CLOB, "time" CLOB, "notes" CLOB)
| what is the time difference in seconds between rachel king and sriyani kulawansa ? | SELECT ABS((SELECT "time" FROM table_204_71 WHERE "name" = 'rachel king') - (SELECT "time" FROM table_204_71 WHERE "name" = 'sriyani kulawansa')) | SELECT ABS((SELECT "time" FROM "table_204_71" WHERE "name" = 'rachel king') - (SELECT "time" FROM "table_204_71" WHERE "name" = 'sriyani kulawansa')) | 0.145508 |
CREATE TABLE table_67841 ("Rank" FLOAT, "Team" CLOB, "Wins" FLOAT, "Losses" FLOAT, "Runs Allowed" FLOAT, "Run Ratio" FLOAT)
| How many runs allowed did the team ranked 2 with more than 2 losses have? | SELECT AVG("Runs Allowed") FROM table_67841 WHERE "Rank" = '2' AND "Losses" > '2' | SELECT AVG("Runs Allowed") FROM "table_67841" WHERE "Losses" > '2' AND "Rank" = '2' | 0.081055 |
CREATE TABLE has_allergy (StuID VARCHAR2, allergy VARCHAR2)
CREATE TABLE Student (StuID VARCHAR2, sex VARCHAR2)
| How many female students have milk or egg allergies? | SELECT COUNT(*) FROM has_allergy AS T1 JOIN Student AS T2 ON T1.StuID = T2.StuID WHERE T2.sex = "F" AND T1.allergy = "Milk" OR T1.allergy = "Eggs" | SELECT COUNT(*) FROM "has_allergy" "T1" JOIN "Student" "T2" ON ("Eggs" = "T1"."allergy" OR "F" = "T2"."sex") AND "T1"."StuID" = "T2"."StuID" WHERE "Eggs" = "T1"."allergy" OR "Milk" = "T1"."allergy" | 0.192383 |
CREATE TABLE table_49506 ("Name" CLOB, "Built" CLOB, "Listed" CLOB, "Location" CLOB, "County" CLOB)
| In what year was the Gila Bend Overpass built? | SELECT "Built" FROM table_49506 WHERE "Name" = 'gila bend overpass' | SELECT "Built" FROM "table_49506" WHERE "Name" = 'gila bend overpass' | 0.067383 |
CREATE TABLE table_train_39 ("id" NUMBER, "active_infection" BOOLEAN, "sepsis" BOOLEAN, "organ_failure" BOOLEAN, "septic_shock" BOOLEAN, "age" FLOAT, "NOUSE" FLOAT)
| suspected infection | SELECT * FROM table_train_39 WHERE active_infection = 1 | SELECT * FROM "table_train_39" WHERE "active_infection" = 1 | 0.057617 |
CREATE TABLE table_44767 ("Round" FLOAT, "Pick" FLOAT, "Overall" FLOAT, "Name" CLOB, "Position" CLOB, "College" CLOB)
| What is College, when Pick is 20? | SELECT "College" FROM table_44767 WHERE "Pick" = '20' | SELECT "College" FROM "table_44767" WHERE "Pick" = '20' | 0.053711 |
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
| For those employees who did not have any job in the past, show me about the change of employee_id over hire_date in a line chart. | SELECT HIRE_DATE, EMPLOYEE_ID FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) | SELECT "HIRE_DATE", "EMPLOYEE_ID" FROM "employees" WHERE NOT "EMPLOYEE_ID" IN (SELECT "EMPLOYEE_ID" FROM "job_history") | 0.116211 |
CREATE TABLE table_19534874_2 (indoor VARCHAR2, region VARCHAR2)
| What is the indoor number for the NER region? | SELECT COUNT(indoor) FROM table_19534874_2 WHERE region = "NER" | SELECT COUNT("indoor") FROM "table_19534874_2" WHERE "NER" = "region" | 0.067383 |
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