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CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
| what is the monthly average dose of enteral formula volume/bolus amt (ml) that patient 025-44842 takes since 12/30/2105? | SELECT AVG(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '025-44842')) AND intakeoutput.celllabel = 'enteral formula volume/bolus amt (ml)' AND intakeoutput.cellpath LIKE '%intake%' AND STRFTIME('%y-%m-%d', intakeoutput.intakeoutputtime) >= '2105-12-30' GROUP BY STRFTIME('%y-%m', intakeoutput.intakeoutputtime) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '025-44842' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT AVG("intakeoutput"."cellvaluenumeric") FROM "intakeoutput" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'enteral formula volume/bolus amt (ml)' AND "intakeoutput"."cellpath" LIKE '%intake%' AND NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m-%d', "intakeoutput"."intakeoutputtime") >= '2105-12-30' GROUP BY STRFTIME('%y-%m', "intakeoutput"."intakeoutputtime") | 0.766602 |
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
| For all employees who have the letters D or S in their first name, return a bar chart about the distribution of job_id and the amount of job_id , and group by attribute job_id, rank x-axis in asc order. | SELECT JOB_ID, COUNT(JOB_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY JOB_ID | SELECT "JOB_ID", COUNT("JOB_ID") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' GROUP BY "JOB_ID" ORDER BY "JOB_ID" NULLS FIRST | 0.150391 |
CREATE TABLE table_name_46 (yards INT, starts INT)
| What was the average number of yards Michael Henig had in a year when he had more than 12 starts/ | SELECT AVG(yards) FROM table_name_46 WHERE starts > 12 | SELECT AVG("yards") FROM "table_name_46" WHERE "starts" > 12 | 0.058594 |
CREATE TABLE table_203_804 (id DECIMAL, "pos" TEXT, "no" DECIMAL, "driver" TEXT, "constructor" TEXT, "laps" DECIMAL, "time/retired" TEXT, "grid" DECIMAL)
| who was the only driver to drive 33 laps according to this chart ? | SELECT "driver" FROM table_203_804 WHERE "laps" = 33 | SELECT "driver" FROM "table_203_804" WHERE "laps" = 33 | 0.052734 |
CREATE TABLE table_name_5 (power__hp_ INT, engine VARCHAR)
| What is the highest power (hp) of an OM314 engine? | SELECT MAX(power__hp_) FROM table_name_5 WHERE engine = "om314" | SELECT MAX("power__hp_") FROM "table_name_5" WHERE "engine" = "om314" | 0.067383 |
CREATE TABLE table_name_51 (teaching_language VARCHAR, duration__years_ VARCHAR, ects_credit_points VARCHAR)
| What is the teaching language for a less than 2 year duration and less than 65 ECTS credit points? | SELECT teaching_language FROM table_name_51 WHERE duration__years_ < 2 AND ects_credit_points < 65 | SELECT "teaching_language" FROM "table_name_51" WHERE "duration__years_" < 2 AND "ects_credit_points" < 65 | 0.103516 |
CREATE TABLE table_16446 ("1973 Democratic initial primary" TEXT, "Manhattan" TEXT, "The Bronx" TEXT, "Brooklyn" TEXT, "Queens" TEXT, "Richmond [Staten Is.]" TEXT, "Total" FLOAT, "%" TEXT)
| What is the percentage for manhattan 45,901? | SELECT COUNT("%") FROM table_16446 WHERE "Manhattan" = '45,901' | SELECT COUNT("%") FROM "table_16446" WHERE "Manhattan" = '45,901' | 0.063477 |
CREATE TABLE table_34528 ("Date" TEXT, "Visitor" TEXT, "Score" TEXT, "Home" TEXT, "Decision" TEXT, "Attendance" FLOAT, "Record" TEXT)
| Who is the visitor in Philadelphia on March 6? | SELECT "Visitor" FROM table_34528 WHERE "Home" = 'philadelphia' AND "Date" = 'march 6' | SELECT "Visitor" FROM "table_34528" WHERE "Date" = 'march 6' AND "Home" = 'philadelphia' | 0.085938 |
CREATE TABLE table_name_12 (wins INT, poles VARCHAR, podiums VARCHAR)
| What is the average wins of a team with more than 0 ples and less than 3 podiums? | SELECT AVG(wins) FROM table_name_12 WHERE poles > 0 AND podiums < 3 | SELECT AVG("wins") FROM "table_name_12" WHERE "podiums" < 3 AND "poles" > 0 | 0.073242 |
CREATE TABLE table_204_636 (id DECIMAL, "season" TEXT, "tier" DECIMAL, "division" TEXT, "pos." TEXT, "notes" TEXT)
| which season was more successful , 2007-2008 or 2005-2006 ? | SELECT "season" FROM table_204_636 WHERE "season" IN ('2007-08', '2005-06') ORDER BY "pos." LIMIT 1 | SELECT "season" FROM "table_204_636" WHERE "season" IN ('2007-08', '2005-06') ORDER BY "pos." NULLS FIRST LIMIT 1 | 0.110352 |
CREATE TABLE table_8764 ("Callsign" TEXT, "Frequency" TEXT, "Band" TEXT, "On-air ID" TEXT, "Purpose" TEXT)
| What is 4zr's callsign? | SELECT "Callsign" FROM table_8764 WHERE "On-air ID" = '4zr' | SELECT "Callsign" FROM "table_8764" WHERE "On-air ID" = '4zr' | 0.05957 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| calculate the average age of married patients who had home health care discharge. | SELECT AVG(demographic.age) FROM demographic WHERE demographic.marital_status = "MARRIED" AND demographic.discharge_location = "HOME HEALTH CARE" | SELECT AVG("demographic"."age") FROM "demographic" WHERE "HOME HEALTH CARE" = "demographic"."discharge_location" AND "MARRIED" = "demographic"."marital_status" | 0.155273 |
CREATE TABLE table_6653 ("Year" TEXT, "Men's singles" TEXT, "Women's singles" TEXT, "Men's doubles" TEXT, "Women's doubles" TEXT, "Mixed doubles" TEXT)
| Who won women's double in 2002, the year that Kenneth Vella won men's singles? | SELECT "Women's doubles" FROM table_6653 WHERE "Men's singles" = 'kenneth vella' AND "Year" = '2002' | SELECT "Women's doubles" FROM "table_6653" WHERE "Men's singles" = 'kenneth vella' AND "Year" = '2002' | 0.099609 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| what is lab test name and lab test category of subject id 17787? | SELECT lab.label, lab."CATEGORY" FROM lab WHERE lab.subject_id = "17787" | SELECT "lab"."label", "lab"."CATEGORY" FROM "lab" WHERE "17787" = "lab"."subject_id" | 0.082031 |
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
| when was patient 1272 first tested at a laboratory in 11/2104? | SELECT labevents.charttime FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 1272) AND STRFTIME('%y-%m', labevents.charttime) = '2104-11' ORDER BY labevents.charttime LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 1272 GROUP BY "hadm_id") SELECT "labevents"."charttime" FROM "labevents" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "labevents"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND STRFTIME('%y-%m', "labevents"."charttime") = '2104-11' ORDER BY "labevents"."charttime" NULLS FIRST LIMIT 1 | 0.365234 |
CREATE TABLE Subjects (subject_id INT, subject_name VARCHAR)
CREATE TABLE Courses (course_id INT, author_id INT, subject_id INT, course_name VARCHAR, course_description VARCHAR)
CREATE TABLE Student_Course_Enrolment (registration_id INT, student_id INT, course_id INT, date_of_enrolment DATETIME, date_of_completion DATETIME)
CREATE TABLE Students (student_id INT, date_of_registration DATETIME, date_of_latest_logon DATETIME, login_name VARCHAR, password VARCHAR, personal_name VARCHAR, middle_name VARCHAR, family_name VARCHAR)
CREATE TABLE Course_Authors_and_Tutors (author_id INT, author_tutor_ATB VARCHAR, login_name VARCHAR, password VARCHAR, personal_name VARCHAR, middle_name VARCHAR, family_name VARCHAR, gender_mf VARCHAR, address_line_1 VARCHAR)
CREATE TABLE Student_Tests_Taken (registration_id INT, date_test_taken DATETIME, test_result VARCHAR)
| Visualize a bar chart about the distribution of middle_name and author_tutor_ATB . | SELECT middle_name, author_tutor_ATB FROM Course_Authors_and_Tutors ORDER BY personal_name | SELECT "middle_name", "author_tutor_ATB" FROM "Course_Authors_and_Tutors" ORDER BY "personal_name" NULLS FIRST | 0.107422 |
CREATE TABLE table_name_39 (league VARCHAR, year VARCHAR)
| What league did they play in 2001? | SELECT league FROM table_name_39 WHERE year = 2001 | SELECT "league" FROM "table_name_39" WHERE "year" = 2001 | 0.054688 |
CREATE TABLE department (dno DECIMAL, division TEXT, dname TEXT, room TEXT, building TEXT, dphone DECIMAL)
CREATE TABLE member_of (facid DECIMAL, dno DECIMAL, appt_type TEXT)
CREATE TABLE course (cid TEXT, cname TEXT, credits DECIMAL, instructor DECIMAL, days TEXT, hours TEXT, dno DECIMAL)
CREATE TABLE faculty (facid DECIMAL, lname TEXT, fname TEXT, rank TEXT, sex TEXT, phone DECIMAL, room TEXT, building TEXT)
CREATE TABLE minor_in (stuid DECIMAL, dno DECIMAL)
CREATE TABLE enrolled_in (stuid DECIMAL, cid TEXT, grade TEXT)
CREATE TABLE student (stuid DECIMAL, lname TEXT, fname TEXT, age DECIMAL, sex TEXT, major DECIMAL, advisor DECIMAL, city_code TEXT)
CREATE TABLE gradeconversion (lettergrade TEXT, gradepoint DECIMAL)
| Find the names of courses that have either 3 credits or 1 credit but 4 hours. | SELECT cname FROM course WHERE credits = 3 UNION SELECT cname FROM course WHERE credits = 1 AND hours = 4 | SELECT "cname" FROM "course" WHERE "credits" = 3 UNION SELECT "cname" FROM "course" WHERE "credits" = 1 AND "hours" = 4 | 0.116211 |
CREATE TABLE table_35022 ("Game" FLOAT, "March" FLOAT, "Opponent" TEXT, "Score" TEXT, "Record" TEXT, "Points" FLOAT)
| Points smaller than 96, and a Record of 43 16 8 belongs to what game? | SELECT "Game" FROM table_35022 WHERE "Points" < '96' AND "Record" = '43–16–8' | SELECT "Game" FROM "table_35022" WHERE "Points" < '96' AND "Record" = '43–16–8' | 0.077148 |
CREATE TABLE table_78801 ("Service name" TEXT, "Owner" TEXT, "Catch-up period" TEXT, "Streamed" TEXT, "Download" TEXT, "Technology" TEXT)
| What Service Name has UTV as the owner? | SELECT "Service name" FROM table_78801 WHERE "Owner" = 'utv' | SELECT "Service name" FROM "table_78801" WHERE "Owner" = 'utv' | 0.060547 |
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE month (month_number INT, month_name TEXT)
| show me all flights from SAN FRANCISCO to PITTSBURGH | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'SAN FRANCISCO' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PITTSBURGH' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'SAN FRANCISCO' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'PITTSBURGH' | 0.50293 |
CREATE TABLE table_name_63 (record VARCHAR, home VARCHAR)
| What was the record when chicago was the home team? | SELECT record FROM table_name_63 WHERE home = "chicago" | SELECT "record" FROM "table_name_63" WHERE "chicago" = "home" | 0.05957 |
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
| For all employees who have the letters D or S in their first name, show me about the distribution of hire_date and the average of salary bin hire_date by weekday in a bar chart. | SELECT HIRE_DATE, AVG(SALARY) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' | SELECT "HIRE_DATE", AVG("SALARY") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' | 0.104492 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| find the age and location of discharge for patient jerry deberry. | SELECT demographic.age, demographic.discharge_location FROM demographic WHERE demographic.name = "Jerry Deberry" | SELECT "demographic"."age", "demographic"."discharge_location" FROM "demographic" WHERE "Jerry Deberry" = "demographic"."name" | 0.123047 |
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
| what is the amount of input patient 035-24054 has received during yesterday? | SELECT SUM(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '035-24054')) AND intakeoutput.cellpath LIKE '%intake%' AND DATETIME(intakeoutput.intakeoutputtime, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-1 day') | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '035-24054' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT SUM("intakeoutput"."cellvaluenumeric") FROM "intakeoutput" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."cellpath" LIKE '%intake%' AND DATETIME("intakeoutput"."intakeoutputtime", 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-1 day') AND NOT "_u_1"."" IS NULL | 0.674805 |
CREATE TABLE table_name_64 (high_assists VARCHAR, record VARCHAR)
| What is the High assists when the record was 28 40? | SELECT high_assists FROM table_name_64 WHERE record = "28–40" | SELECT "high_assists" FROM "table_name_64" WHERE "28–40" = "record" | 0.06543 |
CREATE TABLE table_1634376_1 (status VARCHAR, _number VARCHAR)
| What is the status of vessel number K-223? | SELECT status FROM table_1634376_1 WHERE _number = "K-223" | SELECT "status" FROM "table_1634376_1" WHERE "K-223" = "_number" | 0.0625 |
CREATE TABLE table_28928 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "First elected" TEXT, "Result" TEXT, "Candidates" TEXT)
| How many incumbents are there in Pennsylvania 5? | SELECT COUNT("Incumbent") FROM table_28928 WHERE "District" = 'Pennsylvania 5' | SELECT COUNT("Incumbent") FROM "table_28928" WHERE "District" = 'Pennsylvania 5' | 0.078125 |
CREATE TABLE table_name_8 (pick INT, player VARCHAR)
| Which pick was used on Ian Hazlett? | SELECT MIN(pick) FROM table_name_8 WHERE player = "ian hazlett" | SELECT MIN("pick") FROM "table_name_8" WHERE "ian hazlett" = "player" | 0.067383 |
CREATE TABLE table_name_60 (score VARCHAR, date VARCHAR)
| What was the score of the game on 19/3/00? | SELECT score FROM table_name_60 WHERE date = "19/3/00" | SELECT "score" FROM "table_name_60" WHERE "19/3/00" = "date" | 0.058594 |
CREATE TABLE table_204_236 (id DECIMAL, "title" TEXT, "release date" TEXT, "developer ( s ) " TEXT, "publisher ( s ) " TEXT, "genre ( s ) " TEXT)
| total number of gangster games released . | SELECT COUNT("title") FROM table_204_236 | SELECT COUNT("title") FROM "table_204_236" | 0.041016 |
CREATE TABLE table_name_6 (score VARCHAR, loss VARCHAR)
| The game with a loss of smith (2-4) ended with what score? | SELECT score FROM table_name_6 WHERE loss = "smith (2-4)" | SELECT "score" FROM "table_name_6" WHERE "loss" = "smith (2-4)" | 0.061523 |
CREATE TABLE table_225102_4 (vacator VARCHAR, reason_for_change VARCHAR)
| Name the vacator for reason for change died january 12, 1826 | SELECT vacator FROM table_225102_4 WHERE reason_for_change = "Died January 12, 1826" | SELECT "vacator" FROM "table_225102_4" WHERE "Died January 12, 1826" = "reason_for_change" | 0.087891 |
CREATE TABLE table_name_35 (goal_difference VARCHAR, position VARCHAR)
| What is the goal difference number with a position of 15? | SELECT goal_difference FROM table_name_35 WHERE position = 15 | SELECT "goal_difference" FROM "table_name_35" WHERE "position" = 15 | 0.06543 |
CREATE TABLE table_204_641 (id DECIMAL, "pos" TEXT, "no" DECIMAL, "driver" TEXT, "constructor" TEXT, "laps" DECIMAL, "time/retired" TEXT, "grid" DECIMAL, "points" DECIMAL)
| what is the difference in points between chris amon and jim clark ? | SELECT ABS((SELECT "points" FROM table_204_641 WHERE "driver" = 'chris amon') - (SELECT "points" FROM table_204_641 WHERE "driver" = 'jim clark')) | SELECT ABS((SELECT "points" FROM "table_204_641" WHERE "driver" = 'chris amon') - (SELECT "points" FROM "table_204_641" WHERE "driver" = 'jim clark')) | 0.146484 |
CREATE TABLE table_69243 ("Date" TEXT, "Time" TEXT, "Round" TEXT, "Opponent" TEXT, "Ground" TEXT, "Score" TEXT)
| What time was the game played against Cagliari that lasted 16 rounds? | SELECT "Time" FROM table_69243 WHERE "Opponent" = 'cagliari' AND "Round" = '16' | SELECT "Time" FROM "table_69243" WHERE "Opponent" = 'cagliari' AND "Round" = '16' | 0.079102 |
CREATE TABLE table_name_32 (cfl_team VARCHAR, player VARCHAR)
| What is the CFL Team with Will Grant? | SELECT cfl_team FROM table_name_32 WHERE player = "will grant" | SELECT "cfl_team" FROM "table_name_32" WHERE "player" = "will grant" | 0.066406 |
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
| when did patient 017-88691 have the last systemicmean to be less than 91.0 since 12/31/2105? | SELECT vitalperiodic.observationtime FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '017-88691')) AND vitalperiodic.systemicmean < 91.0 AND NOT vitalperiodic.systemicmean IS NULL AND STRFTIME('%y-%m-%d', vitalperiodic.observationtime) >= '2105-12-31' ORDER BY vitalperiodic.observationtime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '017-88691' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "vitalperiodic"."observationtime" FROM "vitalperiodic" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE "vitalperiodic"."systemicmean" < 91.0 AND NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."systemicmean" IS NULL AND STRFTIME('%y-%m-%d', "vitalperiodic"."observationtime") >= '2105-12-31' ORDER BY "vitalperiodic"."observationtime" DESC NULLS LAST LIMIT 1 | 0.739258 |
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
| For those products with a price between 60 and 120, draw a bar chart about the distribution of name and manufacturer . | SELECT Name, Manufacturer FROM Products WHERE Price BETWEEN 60 AND 120 | SELECT "Name", "Manufacturer" FROM "Products" WHERE "Price" <= 120 AND "Price" >= 60 | 0.082031 |
CREATE TABLE table_49691 ("Product" TEXT, "Vendor" TEXT, "Edition" TEXT, "Release date" TEXT, "Java EE compatibility" TEXT, "License" TEXT)
| What is the Java EE compatibility of the 5.2.4 edition? | SELECT "Java EE compatibility" FROM table_49691 WHERE "Edition" = '5.2.4' | SELECT "Java EE compatibility" FROM "table_49691" WHERE "Edition" = '5.2.4' | 0.073242 |
CREATE TABLE people (People_ID INT, Name TEXT, Height FLOAT, Weight FLOAT, Date_of_Birth TEXT)
CREATE TABLE entrepreneur (Entrepreneur_ID INT, People_ID INT, Company TEXT, Money_Requested FLOAT, Investor TEXT)
| how many entrepreneurs correspond to each investor?, I want to display by the bar in asc. | SELECT Investor, COUNT(*) FROM entrepreneur GROUP BY Investor ORDER BY Investor | SELECT "Investor", COUNT(*) FROM "entrepreneur" GROUP BY "Investor" ORDER BY "Investor" NULLS FIRST | 0.09668 |
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
| what is the five most frequent test for specimen a year before? | SELECT t1.spec_type_desc FROM (SELECT microbiologyevents.spec_type_desc, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM microbiologyevents WHERE DATETIME(microbiologyevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY microbiologyevents.spec_type_desc) AS t1 WHERE t1.c1 <= 5 | WITH "t1" AS (SELECT "microbiologyevents"."spec_type_desc", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "microbiologyevents" WHERE DATETIME("microbiologyevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY "microbiologyevents"."spec_type_desc") SELECT "t1"."spec_type_desc" FROM "t1" AS "t1" WHERE "t1"."c1" <= 5 | 0.375 |
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
| Are there any 400 -level courses in the Fall or Winter term that I can take ? | SELECT DISTINCT COURSEalias0.department, COURSEalias0.name, COURSEalias0.number, SEMESTERalias0.semester FROM (SELECT course_id FROM student_record WHERE earn_credit = 'Y' AND student_id = 1) AS DERIVED_TABLEalias0, course AS COURSEalias0, course_offering AS COURSE_OFFERINGalias0, semester AS SEMESTERalias0 WHERE ((SEMESTERalias0.semester = 'FA' AND SEMESTERalias0.year = 2016) OR (SEMESTERalias0.semester = 'WN' AND SEMESTERalias0.year = 2017)) AND COURSEalias0.course_id = COURSE_OFFERINGalias0.course_id AND NOT COURSEalias0.course_id IN (DERIVED_TABLEalias0.course_id) AND NOT COURSEalias0.course_id IN (SELECT DISTINCT COURSE_PREREQUISITEalias0.course_id FROM course_prerequisite AS COURSE_PREREQUISITEalias0 WHERE NOT COURSE_PREREQUISITEalias0.pre_course_id IN (DERIVED_TABLEalias0.course_id)) AND COURSEalias0.department = 'EECS' AND COURSEalias0.number BETWEEN 400 AND 400 + 100 AND SEMESTERalias0.semester_id = COURSE_OFFERINGalias0.semester | SELECT DISTINCT "COURSEalias0"."department", "COURSEalias0"."name", "COURSEalias0"."number", "SEMESTERalias0"."semester" FROM "student_record" JOIN "course" AS "COURSEalias0" ON "COURSEalias0"."department" = 'EECS' AND "COURSEalias0"."number" <= 500 AND "COURSEalias0"."number" >= 400 AND NOT "COURSEalias0"."course_id" IN ("course_id") AND NOT "COURSEalias0"."course_id" IN (SELECT DISTINCT "COURSE_PREREQUISITEalias0"."course_id" FROM "course_prerequisite" AS "COURSE_PREREQUISITEalias0" WHERE NOT "COURSE_PREREQUISITEalias0"."pre_course_id" IN ("course_id")) JOIN "course_offering" AS "COURSE_OFFERINGalias0" ON "COURSE_OFFERINGalias0"."course_id" = "COURSEalias0"."course_id" JOIN "semester" AS "SEMESTERalias0" ON "COURSE_OFFERINGalias0"."semester" = "SEMESTERalias0"."semester_id" AND ("SEMESTERalias0"."semester" = 'FA' OR "SEMESTERalias0"."semester" = 'WN') AND ("SEMESTERalias0"."semester" = 'FA' OR "SEMESTERalias0"."year" = 2017) AND ("SEMESTERalias0"."semester" = 'WN' OR "SEMESTERalias0"."year" = 2016) AND ("SEMESTERalias0"."year" = 2016 OR "SEMESTERalias0"."year" = 2017) WHERE "earn_credit" = 'Y' AND "student_id" = 1 | 1.106445 |
CREATE TABLE table_name_26 (class VARCHAR, quantity_made VARCHAR)
| Which locomotive class had 5 items made? | SELECT class FROM table_name_26 WHERE quantity_made = 5 | SELECT "class" FROM "table_name_26" WHERE "quantity_made" = 5 | 0.05957 |
CREATE TABLE table_54206 ("Record" TEXT, "Date" TEXT, "Driver" TEXT, "Time" TEXT, "Speed/Avg. Speed" TEXT)
| When was the race that set the record for the Izod Indycar Series? | SELECT "Date" FROM table_54206 WHERE "Record" = 'izod indycar series' | SELECT "Date" FROM "table_54206" WHERE "Record" = 'izod indycar series' | 0.069336 |
CREATE TABLE table_61088 ("Game" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Hornets score" FLOAT, "Opponent score" FLOAT, "Record" TEXT)
| What is the highest game with a 1-0 record, and the Hornets scored more than 100? | SELECT MAX("Game") FROM table_61088 WHERE "Record" = '1-0' AND "Hornets score" > '100' | SELECT MAX("Game") FROM "table_61088" WHERE "Hornets score" > '100' AND "Record" = '1-0' | 0.085938 |
CREATE TABLE table_name_86 (score VARCHAR, record VARCHAR)
| What was the score of the game when the Blue Jays were 55-39? | SELECT score FROM table_name_86 WHERE record = "55-39" | SELECT "score" FROM "table_name_86" WHERE "55-39" = "record" | 0.058594 |
CREATE TABLE table_name_58 (overall INT, school_club_team VARCHAR)
| What is arizona state overall lowest? | SELECT MIN(overall) FROM table_name_58 WHERE school_club_team = "arizona state" | SELECT MIN("overall") FROM "table_name_58" WHERE "arizona state" = "school_club_team" | 0.083008 |
CREATE TABLE table_203_485 (id DECIMAL, "year" TEXT, "show" TEXT, "role" TEXT, "notes" TEXT)
| how many total television shows has gauri starred in ? | SELECT COUNT("show") FROM table_203_485 | SELECT COUNT("show") FROM "table_203_485" | 0.040039 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
| how many patients whose religion is catholic? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.religion = "CATHOLIC" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "CATHOLIC" = "demographic"."religion" | 0.109375 |
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
| count the number of times patient 97330 had had a dialysis output on the current hospital visit. | SELECT COUNT(*) FROM outputevents WHERE outputevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 97330 AND admissions.dischtime IS NULL)) AND outputevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'dialysis output' AND d_items.linksto = 'outputevents') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 97330 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'dialysis output' AND "d_items"."linksto" = 'outputevents' GROUP BY "itemid") SELECT COUNT(*) FROM "outputevents" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "outputevents"."icustay_id" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "outputevents"."itemid" WHERE NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL | 0.699219 |
CREATE TABLE table_13349 ("Parameter" TEXT, "Symbol" TEXT, "Best fit ( WMAP only ) " TEXT, "Best fit ( WMAP , extra parameter ) " TEXT, "Best fit ( all data ) " TEXT)
| What is the symbol when the best fit (WMAP, extra parameter) of , and a Best fit (WMAP only) is .4 .3? | SELECT "Symbol" FROM table_13349 WHERE "Best fit (WMAP, extra parameter)" = '–' AND "Best fit (WMAP only)" = '.4 ± .3' | SELECT "Symbol" FROM "table_13349" WHERE "Best fit (WMAP only)" = '.4 ± .3' AND "Best fit (WMAP, extra parameter)" = '–' | 0.117188 |
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
| list flights from DALLAS to SAN FRANCISCO | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DALLAS' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'DALLAS' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SAN FRANCISCO' | 0.499023 |
CREATE TABLE table_name_32 (nat VARCHAR, type VARCHAR, transfer_fee VARCHAR)
| What is the type of loan and the transfer fee loan? | SELECT nat FROM table_name_32 WHERE type = "loan" AND transfer_fee = "loan" | SELECT "nat" FROM "table_name_32" WHERE "loan" = "transfer_fee" AND "loan" = "type" | 0.081055 |
CREATE TABLE documents (access_count INT, document_structure_code VARCHAR)
| Find the average access count of documents with the least popular structure. | SELECT AVG(access_count) FROM documents GROUP BY document_structure_code ORDER BY COUNT(*) LIMIT 1 | SELECT AVG("access_count") FROM "documents" GROUP BY "document_structure_code" ORDER BY COUNT(*) NULLS FIRST LIMIT 1 | 0.113281 |
CREATE TABLE table_name_87 (forward_caste VARCHAR, scheduled_tribe VARCHAR)
| WHAT IS THE FORWARD CASTE WITH A SCHEDULED TRIBE OF 0.90%? | SELECT forward_caste FROM table_name_87 WHERE scheduled_tribe = "0.90%" | SELECT "forward_caste" FROM "table_name_87" WHERE "0.90%" = "scheduled_tribe" | 0.075195 |
CREATE TABLE table_204_564 (id DECIMAL, "devanagari" TEXT, "iso 15919" TEXT, "unrsgn" TEXT, "iast" TEXT, "comment" TEXT)
| what unrsgn is listed previous to the o ? | SELECT "unrsgn" FROM table_204_564 WHERE id = (SELECT id FROM table_204_564 WHERE "unrsgn" = 'o') - 1 | SELECT "unrsgn" FROM "table_204_564" WHERE "id" = (SELECT "id" FROM "table_204_564" WHERE "unrsgn" = 'o') - 1 | 0.106445 |
CREATE TABLE table_65110 ("Title" TEXT, "Series" TEXT, "Director" TEXT, "Production Number" TEXT, "Release date" TEXT)
| Who is the Director of the Filmography with Production Number of 11-14? | SELECT "Director" FROM table_65110 WHERE "Production Number" = '11-14' | SELECT "Director" FROM "table_65110" WHERE "Production Number" = '11-14' | 0.070313 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| provide me the number of emergency hospital admission patients who are less than 67 years of age. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "EMERGENCY" AND demographic.age < "67" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "67" > "demographic"."age" AND "EMERGENCY" = "demographic"."admission_type" | 0.146484 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
| give me the number of patients whose ethnicity is black/cape verdean and primary disease is colangitis? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "BLACK/CAPE VERDEAN" AND demographic.diagnosis = "COLANGITIS" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "BLACK/CAPE VERDEAN" = "demographic"."ethnicity" AND "COLANGITIS" = "demographic"."diagnosis" | 0.164063 |
CREATE TABLE table_21493 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
| What are the scores made by Charlotte team | SELECT "Score" FROM table_21493 WHERE "Team" = 'Charlotte' | SELECT "Score" FROM "table_21493" WHERE "Team" = 'Charlotte' | 0.058594 |
CREATE TABLE table_name_64 (competition VARCHAR, assist_pass VARCHAR, date VARCHAR)
| Name the competition for stephanie cox on 2011-07-02 | SELECT competition FROM table_name_64 WHERE assist_pass = "stephanie cox" AND date = "2011-07-02" | SELECT "competition" FROM "table_name_64" WHERE "2011-07-02" = "date" AND "assist_pass" = "stephanie cox" | 0.102539 |
CREATE TABLE table_54502 ("Tournament" TEXT, "Date" TEXT, "City" TEXT, "Country" TEXT, "Surface" TEXT, "Singles champions" TEXT)
| Who was the Singles Champions in Trieste, Italy? | SELECT "Singles champions" FROM table_54502 WHERE "Country" = 'italy' AND "City" = 'trieste' | SELECT "Singles champions" FROM "table_54502" WHERE "City" = 'trieste' AND "Country" = 'italy' | 0.091797 |
CREATE TABLE field (fieldid INT)
CREATE TABLE cite (citingpaperid INT, citedpaperid INT)
CREATE TABLE paperdataset (paperid INT, datasetid INT)
CREATE TABLE dataset (datasetid INT, datasetname VARCHAR)
CREATE TABLE paperkeyphrase (paperid INT, keyphraseid INT)
CREATE TABLE keyphrase (keyphraseid INT, keyphrasename VARCHAR)
CREATE TABLE venue (venueid INT, venuename VARCHAR)
CREATE TABLE paper (paperid INT, title VARCHAR, venueid INT, year INT, numciting INT, numcitedby INT, journalid INT)
CREATE TABLE writes (paperid INT, authorid INT)
CREATE TABLE author (authorid INT, authorname VARCHAR)
CREATE TABLE paperfield (fieldid INT, paperid INT)
CREATE TABLE journal (journalid INT, journalname VARCHAR)
| papers published in the last year | SELECT DISTINCT paperid FROM paper WHERE year = (SELECT MAX(PAPERalias1.year) FROM paper AS PAPERalias1) | WITH "_u_0" AS (SELECT MAX("PAPERalias1"."year") FROM "paper" AS "PAPERalias1" HAVING "year" = MAX("PAPERalias1"."year")) SELECT DISTINCT "paperid" FROM "paper" CROSS JOIN "_u_0" AS "_u_0" | 0.183594 |
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
| is patient 31615's arterial bp [diastolic] second measured on the last intensive care unit visit greater than the first value measured on the last 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 = 31615) AND NOT icustays.outtime IS NULL ORDER BY icustays.intime DESC LIMIT 1) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [diastolic]' AND d_items.linksto = 'chartevents') ORDER BY chartevents.charttime LIMIT 1 OFFSET 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 = 31615) AND NOT icustays.outtime IS NULL ORDER BY icustays.intime DESC LIMIT 1) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [diastolic]' AND d_items.linksto = 'chartevents') ORDER BY chartevents.charttime LIMIT 1) | WITH "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'arterial bp [diastolic]' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid"), "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 31615 GROUP BY "hadm_id") SELECT (SELECT "chartevents"."valuenum" FROM "chartevents" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE "chartevents"."icustay_id" IN (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND NOT "icustays"."outtime" IS NULL ORDER BY "icustays"."intime" DESC NULLS LAST LIMIT 1) AND NOT "_u_2"."" IS NULL ORDER BY "chartevents"."charttime" NULLS FIRST LIMIT 1 OFFSET 1) > (SELECT "chartevents"."valuenum" FROM "chartevents" LEFT JOIN "_u_2" AS "_u_6" ON "_u_6"."" = "chartevents"."itemid" WHERE "chartevents"."icustay_id" IN (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_4" ON "_u_4"."" = "icustays"."hadm_id" WHERE NOT "_u_4"."" IS NULL AND NOT "icustays"."outtime" IS NULL ORDER BY "icustays"."intime" DESC NULLS LAST LIMIT 1) AND NOT "_u_6"."" IS NULL ORDER BY "chartevents"."charttime" NULLS FIRST LIMIT 1) | 1.206055 |
CREATE TABLE table_6713 ("Season" TEXT, "Competition" TEXT, "Round" TEXT, "Opponent" TEXT, "Home" TEXT, "Away" TEXT, "Agg." TEXT)
| Which Away has an Opponent of slavia prague? | SELECT "Away" FROM table_6713 WHERE "Opponent" = 'slavia prague' | SELECT "Away" FROM "table_6713" WHERE "Opponent" = 'slavia prague' | 0.064453 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
| what is the number of female patients with drug code d5lr1000? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.gender = "F" AND prescriptions.formulary_drug_cd = "D5LR1000" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "D5LR1000" = "prescriptions"."formulary_drug_cd" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "F" = "demographic"."gender" | 0.226563 |
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
| what was patient 8098's total volume of output on the first intensive care unit visit? | SELECT SUM(outputevents.value) FROM outputevents WHERE outputevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 8098) AND NOT icustays.outtime IS NULL ORDER BY icustays.intime LIMIT 1) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 8098 GROUP BY "hadm_id") SELECT SUM("outputevents"."value") FROM "outputevents" WHERE "outputevents"."icustay_id" IN (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND NOT "icustays"."outtime" IS NULL ORDER BY "icustays"."intime" NULLS FIRST LIMIT 1) | 0.429688 |
CREATE TABLE table_name_71 (high_assists VARCHAR, high_points VARCHAR)
| What high assists has the high points of andrew bynum (23)? | SELECT high_assists FROM table_name_71 WHERE high_points = "andrew bynum (23)" | SELECT "high_assists" FROM "table_name_71" WHERE "andrew bynum (23)" = "high_points" | 0.082031 |
CREATE TABLE table_name_28 (round INT, opponent VARCHAR)
| What is the highest Round, when the Opponent is Junior Pitbull? | SELECT MAX(round) FROM table_name_28 WHERE opponent = "junior pitbull" | SELECT MAX("round") FROM "table_name_28" WHERE "junior pitbull" = "opponent" | 0.074219 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| count the number of patients whose admission location is phys referral/normal deli and lab test fluid is blood? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_location = "PHYS REFERRAL/NORMAL DELI" AND lab.fluid = "Blood" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Blood" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "PHYS REFERRAL/NORMAL DELI" = "demographic"."admission_location" | 0.217773 |
CREATE TABLE table_name_44 (laps INT, constructor VARCHAR, grid VARCHAR)
| What is the low lap total for minardi - motori moderni, and a Grid smaller than 18? | SELECT MIN(laps) FROM table_name_44 WHERE constructor = "minardi - motori moderni" AND grid < 18 | SELECT MIN("laps") FROM "table_name_44" WHERE "constructor" = "minardi - motori moderni" AND "grid" < 18 | 0.101563 |
CREATE TABLE table_1130632_1 (title VARCHAR, us_viewers__million_ VARCHAR)
| Which titles have 18.73 u.s. viewers. | SELECT title FROM table_1130632_1 WHERE us_viewers__million_ = "18.73" | SELECT "title" FROM "table_1130632_1" WHERE "18.73" = "us_viewers__million_" | 0.074219 |
CREATE TABLE table_55591 ("Team 1" TEXT, "Agg." TEXT, "Team 2" TEXT, "1st leg" TEXT, "2nd leg" TEXT)
| When Team 1 is Aalborg BK, what is the 1st Leg? | SELECT "1st leg" FROM table_55591 WHERE "Team 1" = 'aalborg bk' | SELECT "1st leg" FROM "table_55591" WHERE "Team 1" = 'aalborg bk' | 0.063477 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| how many black/african american patients had the item id 51363? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.ethnicity = "BLACK/AFRICAN AMERICAN" AND lab.itemid = "51363" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "51363" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "BLACK/AFRICAN AMERICAN" = "demographic"."ethnicity" | 0.207031 |
CREATE TABLE table_203_494 (id DECIMAL, "party" TEXT, "votes" DECIMAL, "%" DECIMAL, "swing" DECIMAL, "seats" DECIMAL, "change" DECIMAL)
| how many seats does the independent party hold ? | SELECT "seats" FROM table_203_494 WHERE "party" = 'independent' | SELECT "seats" FROM "table_203_494" WHERE "party" = 'independent' | 0.063477 |
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
| WITH data (f) AS ( SELECT 'abc' UNION ALL. | WITH data(f) AS (SELECT 'abc' UNION ALL SELECT 'def' UNION ALL SELECT 'abc') SELECT DISTINCT f, ROW_NUMBER() OVER (ORDER BY f) FROM data GROUP BY f | WITH "data"("f") AS (SELECT 1 AS "_" UNION ALL SELECT 1 AS "_" UNION ALL SELECT 1 AS "_") SELECT DISTINCT "f", ROW_NUMBER() OVER (ORDER BY "f" NULLS FIRST) FROM "data" GROUP BY "f" | 0.175781 |
CREATE TABLE table_48702 ("Team" TEXT, "Outgoing manager" TEXT, "Manner of departure" TEXT, "Date of vacancy" TEXT, "Replaced by" TEXT, "Date of appointment" TEXT)
| What is the name of the person that was appointed on 13 May 2009? | SELECT "Replaced by" FROM table_48702 WHERE "Date of appointment" = '13 may 2009' | SELECT "Replaced by" FROM "table_48702" WHERE "Date of appointment" = '13 may 2009' | 0.081055 |
CREATE TABLE table_name_1 (score VARCHAR, player VARCHAR)
| What is Tiger Woods's score? | SELECT score FROM table_name_1 WHERE player = "tiger woods" | SELECT "score" FROM "table_name_1" WHERE "player" = "tiger woods" | 0.063477 |
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
| Find coincident activity between two users. | WITH Interesting(UserId) AS (SELECT 342852 UNION ALL SELECT 57611) SELECT PostId = p.Id, QuestionId = COALESCE(a.Id, p.Id), AnswerId = CASE WHEN p.PostTypeId = 2 THEN p.Id ELSE NULL END FROM Posts AS p LEFT JOIN Posts AS a ON p.PostTypeId = 2 AND p.ParentId = a.Id WHERE EXISTS(SELECT * FROM Interesting AS i WHERE p.OwnerUserId = i.UserId) OR EXISTS(SELECT * FROM Interesting AS i WHERE a.OwnerUserId = i.UserId) | WITH "Interesting"("UserId") AS (SELECT 342852 UNION ALL SELECT 57611), "_u_0" AS (SELECT "i"."UserId" AS "_u_1" FROM "Interesting" AS "i" GROUP BY "i"."UserId"), "_u_2" AS (SELECT "i"."UserId" AS "_u_3" FROM "Interesting" AS "i" GROUP BY "i"."UserId") SELECT "PostId" = "p"."Id", "QuestionId" = COALESCE("a"."Id", "p"."Id"), "AnswerId" = CASE WHEN "p"."PostTypeId" = 2 THEN "p"."Id" ELSE NULL END FROM "Posts" AS "p" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."_u_1" = "p"."OwnerUserId" LEFT JOIN "Posts" AS "a" ON "a"."Id" = "p"."ParentId" AND "p"."PostTypeId" = 2 LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."_u_3" = "a"."OwnerUserId" WHERE NOT "_u_0"."_u_1" IS NULL OR NOT "_u_2"."_u_3" IS NULL | 0.668945 |
CREATE TABLE airlines (country VARCHAR, active VARCHAR)
| Which countries has the most number of airlines whose active status is 'Y'? | SELECT country FROM airlines WHERE active = 'Y' GROUP BY country ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "country" FROM "airlines" WHERE "active" = 'Y' GROUP BY "country" ORDER BY COUNT(*) DESC NULLS LAST LIMIT 1 | 0.111328 |
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
| how many bendamustine prescriptions have taken place since 2100? | SELECT COUNT(*) FROM prescriptions WHERE prescriptions.drug = 'bendamustine' AND STRFTIME('%y', prescriptions.startdate) >= '2100' | SELECT COUNT(*) FROM "prescriptions" WHERE "prescriptions"."drug" = 'bendamustine' AND STRFTIME('%y', "prescriptions"."startdate") >= '2100' | 0.136719 |
CREATE TABLE station_company (Station_ID INT, Company_ID INT, Rank_of_the_Year INT)
CREATE TABLE gas_station (Station_ID INT, Open_Year INT, Location TEXT, Manager_Name TEXT, Vice_Manager_Name TEXT, Representative_Name TEXT)
CREATE TABLE company (Company_ID INT, Rank INT, Company TEXT, Headquarters TEXT, Main_Industry TEXT, Sales_billion FLOAT, Profits_billion FLOAT, Assets_billion FLOAT, Market_Value FLOAT)
| What are the main indstries and total market value for each industry Visualize by bar chart, I want to sort Y-axis in descending order. | SELECT Main_Industry, SUM(Market_Value) FROM company GROUP BY Main_Industry ORDER BY SUM(Market_Value) DESC | SELECT "Main_Industry", SUM("Market_Value") FROM "company" GROUP BY "Main_Industry" ORDER BY SUM("Market_Value") DESC NULLS LAST | 0.125 |
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
| tell me the daily maximum sao2 of patient 022-199074 during this hospital encounter. | SELECT MAX(vitalperiodic.sao2) FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '022-199074' AND patient.hospitaldischargetime IS NULL)) AND NOT vitalperiodic.sao2 IS NULL GROUP BY STRFTIME('%y-%m-%d', vitalperiodic.observationtime) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."hospitaldischargetime" IS NULL AND "patient"."uniquepid" = '022-199074' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT MAX("vitalperiodic"."sao2") FROM "vitalperiodic" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."sao2" IS NULL GROUP BY STRFTIME('%y-%m-%d', "vitalperiodic"."observationtime") | 0.654297 |
CREATE TABLE candidate (Candidate_ID INT, People_ID INT, Poll_Source TEXT, Date TEXT, Support_rate FLOAT, Consider_rate FLOAT, Oppose_rate FLOAT, Unsure_rate FLOAT)
CREATE TABLE people (People_ID INT, Sex TEXT, Name TEXT, Date_of_Birth TEXT, Height FLOAT, Weight FLOAT)
| Draw a bar chart about the distribution of Name and Height , and rank y-axis in descending order. | SELECT Name, Height FROM people ORDER BY Height DESC | SELECT "Name", "Height" FROM "people" ORDER BY "Height" DESC NULLS LAST | 0.069336 |
CREATE TABLE table_name_42 (frequency VARCHAR, city_of_license VARCHAR)
| what is the frequency when the city of license is belleville? | SELECT frequency FROM table_name_42 WHERE city_of_license = "belleville" | SELECT "frequency" FROM "table_name_42" WHERE "belleville" = "city_of_license" | 0.076172 |
CREATE TABLE table_22736523_1 (result VARCHAR, week__number VARCHAR)
| For week of top 9, what were the results? | SELECT result FROM table_22736523_1 WHERE week__number = "Top 9" | SELECT "result" FROM "table_22736523_1" WHERE "Top 9" = "week__number" | 0.068359 |
CREATE TABLE table_41333 ("Rank" FLOAT, "Name" TEXT, "Years" TEXT, "Matches" FLOAT, "Goals" FLOAT)
| Can you tell me the Name that has the Goals larger than 98, and the Rank of 7? | SELECT "Name" FROM table_41333 WHERE "Goals" > '98' AND "Rank" = '7' | SELECT "Name" FROM "table_41333" WHERE "Goals" > '98' AND "Rank" = '7' | 0.068359 |
CREATE TABLE table_76546 ("Year" FLOAT, "Date" TEXT, "Race name" TEXT, "Winner" TEXT, "Engine" TEXT)
| Jud Larson who which race after 1956? | SELECT "Race name" FROM table_76546 WHERE "Year" > '1956' AND "Winner" = 'jud larson' | SELECT "Race name" FROM "table_76546" WHERE "Winner" = 'jud larson' AND "Year" > '1956' | 0.084961 |
CREATE TABLE table_name_56 (original_title VARCHAR, year VARCHAR, winner_and_nominees VARCHAR)
| What was the orignal title for the winner and nominee, Breaking the Waves, in 1996 (11th)? | SELECT original_title FROM table_name_56 WHERE year = "1996 (11th)" AND winner_and_nominees = "breaking the waves" | SELECT "original_title" FROM "table_name_56" WHERE "1996 (11th)" = "year" AND "breaking the waves" = "winner_and_nominees" | 0.119141 |
CREATE TABLE table_27144 ("Player" TEXT, "Minutes" FLOAT, "Field Goals" FLOAT, "Rebounds" FLOAT, "Assists" FLOAT, "Steals" FLOAT, "Blocks" FLOAT, "Points" FLOAT)
| How many blocks did the player who had 59 rebounds have? | SELECT "Blocks" FROM table_27144 WHERE "Rebounds" = '59' | SELECT "Blocks" FROM "table_27144" WHERE "Rebounds" = '59' | 0.056641 |
CREATE TABLE table_61235 ("Ship" TEXT, "Hull Number" TEXT, "Laid down" TEXT, "Launched" TEXT, "Commissioned" TEXT)
| What is Laid Down, when Commissioned is '11 November 1989'? | SELECT "Laid down" FROM table_61235 WHERE "Commissioned" = '11 november 1989' | SELECT "Laid down" FROM "table_61235" WHERE "Commissioned" = '11 november 1989' | 0.077148 |
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
| what did patient 027-154299 first get as intake today? | SELECT intakeoutput.celllabel FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '027-154299')) AND intakeoutput.cellpath LIKE '%intake%' AND DATETIME(intakeoutput.intakeoutputtime, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') ORDER BY intakeoutput.intakeoutputtime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '027-154299' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "intakeoutput"."celllabel" FROM "intakeoutput" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."cellpath" LIKE '%intake%' AND DATETIME("intakeoutput"."intakeoutputtime", 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') AND NOT "_u_1"."" IS NULL ORDER BY "intakeoutput"."intakeoutputtime" NULLS FIRST LIMIT 1 | 0.725586 |
CREATE TABLE table_name_29 (round INT, name VARCHAR, pick VARCHAR)
| What's the average round Red Bryant was drafted with a pick larger than 121? | SELECT AVG(round) FROM table_name_29 WHERE name = "red bryant" AND pick > 121 | SELECT AVG("round") FROM "table_name_29" WHERE "name" = "red bryant" AND "pick" > 121 | 0.083008 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| give me the number of patients whose days of hospital stay is greater than 2 and lab test fluid is blood? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.days_stay > "2" AND lab.fluid = "Blood" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Blood" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2" < "demographic"."days_stay" | 0.185547 |
CREATE TABLE table_25339 ("County" TEXT, "Population" FLOAT, "Unemployment Rate" TEXT, "Market Income Per Capita" TEXT, "Poverty Rate" TEXT, "Status" TEXT)
| what is the county where the market income per capita is $25,006? | SELECT "County" FROM table_25339 WHERE "Market Income Per Capita" = '$25,006' | SELECT "County" FROM "table_25339" WHERE "Market Income Per Capita" = '$25,006' | 0.077148 |
CREATE TABLE table_204_329 (id DECIMAL, "no." DECIMAL, "score" DECIMAL, "player" TEXT, "team" TEXT, "balls" DECIMAL, "inns." DECIMAL, "opposing team" TEXT, "date" TEXT, "result" TEXT)
| what player is below pankaj roy ? | SELECT "player" FROM table_204_329 WHERE id = (SELECT id FROM table_204_329 WHERE "player" = 'pankaj roy') + 1 | SELECT "player" FROM "table_204_329" WHERE "id" = (SELECT "id" FROM "table_204_329" WHERE "player" = 'pankaj roy') + 1 | 0.115234 |
CREATE TABLE table_77192 ("Date" TEXT, "Round" TEXT, "Opponent" TEXT, "Venue" TEXT, "Result" TEXT, "Attendance" FLOAT)
| what is the date when the round is qf? | SELECT "Date" FROM table_77192 WHERE "Round" = 'qf' | SELECT "Date" FROM "table_77192" WHERE "Round" = 'qf' | 0.051758 |
CREATE TABLE table_name_24 (broadcaster VARCHAR, year VARCHAR)
| Who was the broadcaster in 2003? | SELECT broadcaster FROM table_name_24 WHERE year = "2003" | SELECT "broadcaster" FROM "table_name_24" WHERE "2003" = "year" | 0.061523 |
CREATE TABLE table_18523 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "First elected" TEXT, "Result" TEXT, "Candidates" TEXT)
| What party did the re-elected incumbent of the Texas 11 district belong to? | SELECT "Party" FROM table_18523 WHERE "Result" = 'Re-elected' AND "District" = 'Texas 11' | SELECT "Party" FROM "table_18523" WHERE "District" = 'Texas 11' AND "Result" = 'Re-elected' | 0.088867 |
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