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CREATE TABLE member_attendance (Member_ID INT, Performance_ID INT, Num_of_Pieces INT)
CREATE TABLE performance (Performance_ID FLOAT, Date TEXT, Host TEXT, Location TEXT, Attendance INT)
CREATE TABLE member (Member_ID TEXT, Name TEXT, Nationality TEXT, Role TEXT)
| Show different locations and the number of performances at each location by a bar chart, sort x-axis in ascending order. | SELECT Location, COUNT(*) FROM performance GROUP BY Location ORDER BY Location | SELECT "Location", COUNT(*) FROM "performance" GROUP BY "Location" ORDER BY "Location" NULLS FIRST | 0.095703 |
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY 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 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)
| For those employees who did not have any job in the past, give me the comparison about the amount of job_id over the job_id , and group by attribute job_id, and could you show X-axis in desc order? | SELECT JOB_ID, COUNT(JOB_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) GROUP BY JOB_ID ORDER BY JOB_ID DESC | SELECT "JOB_ID", COUNT("JOB_ID") FROM "employees" WHERE NOT "EMPLOYEE_ID" IN (SELECT "EMPLOYEE_ID" FROM "job_history") GROUP BY "JOB_ID" ORDER BY "JOB_ID" DESC NULLS LAST | 0.166016 |
CREATE TABLE table_name_93 (capacity VARCHAR, leagues VARCHAR)
| What is the capacity for b national - basketball? | SELECT COUNT(capacity) FROM table_name_93 WHERE leagues = "b national - basketball" | SELECT COUNT("capacity") FROM "table_name_93" WHERE "b national - basketball" = "leagues" | 0.086914 |
CREATE TABLE table_name_42 (year VARCHAR, score VARCHAR, location VARCHAR, runner_up VARCHAR)
| How many years had a location at Forest Hills and a score of 6 3, 6 3 for John McEnroe? | SELECT COUNT(year) FROM table_name_42 WHERE location = "forest hills" AND runner_up = "john mcenroe" AND score = "6–3, 6–3" | SELECT COUNT("year") FROM "table_name_42" WHERE "6–3, 6–3" = "score" AND "forest hills" = "location" AND "john mcenroe" = "runner_up" | 0.129883 |
CREATE TABLE table_66447 ("Year" FLOAT, "Game" TEXT, "Genre" TEXT, "Platform ( s ) " TEXT, "Developer ( s ) " TEXT)
| Which game was a Platformer? | SELECT "Game" FROM table_66447 WHERE "Genre" = 'platformer' | SELECT "Game" FROM "table_66447" WHERE "Genre" = 'platformer' | 0.05957 |
CREATE TABLE table_41858 ("Rank" FLOAT, "Location" TEXT, "Total Passengers" FLOAT, "Annual change" TEXT, "Capacity in use" TEXT)
| Which highest rank had an annual change of 10.3% and a capacity of people smaller than 1,368,968? | SELECT MAX("Rank") FROM table_41858 WHERE "Annual change" = '10.3%' AND "Total Passengers" < '1,368,968' | SELECT MAX("Rank") FROM "table_41858" WHERE "Annual change" = '10.3%' AND "Total Passengers" < '1,368,968' | 0.103516 |
CREATE TABLE third_party_companies (company_id DECIMAL, company_type TEXT, company_name TEXT, company_address TEXT, other_company_details TEXT)
CREATE TABLE parts (part_id DECIMAL, part_name TEXT, chargeable_yn TEXT, chargeable_amount TEXT, other_part_details TEXT)
CREATE TABLE staff (staff_id DECIMAL, staff_name TEXT, gender TEXT, other_staff_details TEXT)
CREATE TABLE skills (skill_id DECIMAL, skill_code TEXT, skill_description TEXT)
CREATE TABLE assets (asset_id DECIMAL, maintenance_contract_id DECIMAL, supplier_company_id DECIMAL, asset_details TEXT, asset_make TEXT, asset_model TEXT, asset_acquired_date TIME, asset_disposed_date TIME, other_asset_details TEXT)
CREATE TABLE asset_parts (asset_id DECIMAL, part_id DECIMAL)
CREATE TABLE fault_log (fault_log_entry_id DECIMAL, asset_id DECIMAL, recorded_by_staff_id DECIMAL, fault_log_entry_datetime TIME, fault_description TEXT, other_fault_details TEXT)
CREATE TABLE skills_required_to_fix (part_fault_id DECIMAL, skill_id DECIMAL)
CREATE TABLE fault_log_parts (fault_log_entry_id DECIMAL, part_fault_id DECIMAL, fault_status TEXT)
CREATE TABLE engineer_skills (engineer_id DECIMAL, skill_id DECIMAL)
CREATE TABLE maintenance_contracts (maintenance_contract_id DECIMAL, maintenance_contract_company_id DECIMAL, contract_start_date TIME, contract_end_date TIME, other_contract_details TEXT)
CREATE TABLE part_faults (part_fault_id DECIMAL, part_id DECIMAL, fault_short_name TEXT, fault_description TEXT, other_fault_details TEXT)
CREATE TABLE engineer_visits (engineer_visit_id DECIMAL, contact_staff_id DECIMAL, engineer_id DECIMAL, fault_log_entry_id DECIMAL, fault_status TEXT, visit_start_datetime TIME, visit_end_datetime TIME, other_visit_details TEXT)
CREATE TABLE maintenance_engineers (engineer_id DECIMAL, company_id DECIMAL, first_name TEXT, last_name TEXT, other_details TEXT)
| When was the first asset acquired? | SELECT asset_acquired_date FROM assets ORDER BY asset_acquired_date LIMIT 1 | SELECT "asset_acquired_date" FROM "assets" ORDER BY "asset_acquired_date" NULLS FIRST LIMIT 1 | 0.09082 |
CREATE TABLE table_2861364_1 (place_of_execution VARCHAR, executed_person VARCHAR)
| where was mazouz ghaouti executed? | SELECT place_of_execution FROM table_2861364_1 WHERE executed_person = "Mazouz Ghaouti" | SELECT "place_of_execution" FROM "table_2861364_1" WHERE "Mazouz Ghaouti" = "executed_person" | 0.09082 |
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time 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 compartment_class (compartment VARCHAR, class_type 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 flight_fare (flight_id INT, fare_id INT)
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 date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare 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 code_description (code VARCHAR, description TEXT)
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 airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
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 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 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 equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
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 class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
| what airline is AC | SELECT DISTINCT airline_code FROM airline WHERE airline_code = 'AC' | SELECT DISTINCT "airline_code" FROM "airline" WHERE "airline_code" = 'AC' | 0.071289 |
CREATE TABLE table_1639689_2 (kickoff VARCHAR, date VARCHAR)
| What was the kickoff time on monday, may 13? | SELECT kickoff FROM table_1639689_2 WHERE date = "Monday, May 13" | SELECT "kickoff" FROM "table_1639689_2" WHERE "Monday, May 13" = "date" | 0.069336 |
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)
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 admission location and discharge time of subject id 17787? | SELECT demographic.admission_location, demographic.dischtime FROM demographic WHERE demographic.subject_id = "17787" | SELECT "demographic"."admission_location", "demographic"."dischtime" FROM "demographic" WHERE "17787" = "demographic"."subject_id" | 0.126953 |
CREATE TABLE table_name_95 (date VARCHAR, tournament VARCHAR)
| What was the date of the Paco Rabanne Open de France? | SELECT date FROM table_name_95 WHERE tournament = "paco rabanne open de france" | SELECT "date" FROM "table_name_95" WHERE "paco rabanne open de france" = "tournament" | 0.083008 |
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note 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 month (month_number INT, month_name TEXT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE code_description (code VARCHAR, description 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 time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code 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 food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE days (days_code VARCHAR, day_name 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 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 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 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 class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
| show me all YX flights from DETROIT to CHICAGO | 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 = 'CHICAGO' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DETROIT' AND flight.to_airport = AIRPORT_SERVICE_0.airport_code AND flight.from_airport = AIRPORT_SERVICE_1.airport_code) AND flight.airline_code = 'YX' | 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" = 'CHICAGO' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."to_airport" AND "flight"."airline_code" = 'YX' JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."from_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'DETROIT' | 0.52832 |
CREATE TABLE table_22448 ("Position" FLOAT, "Team" TEXT, "Played" FLOAT, "Wins" FLOAT, "Draws" FLOAT, "Losses" FLOAT, "Scored" FLOAT, "Conceded" FLOAT, "Points" FLOAT)
| What is the least number of poins for San Lorenzo? | SELECT MIN("Points") FROM table_22448 WHERE "Team" = 'San Lorenzo' | SELECT MIN("Points") FROM "table_22448" WHERE "Team" = 'San Lorenzo' | 0.066406 |
CREATE TABLE table_name_86 (upper_stage VARCHAR, launches_to_date VARCHAR, version VARCHAR)
| What Upper stage has Launches to date of 0, and Version of 532? | SELECT upper_stage FROM table_name_86 WHERE launches_to_date = 0 AND version = "532" | SELECT "upper_stage" FROM "table_name_86" WHERE "532" = "version" AND "launches_to_date" = 0 | 0.089844 |
CREATE TABLE table_10706961_2 (winning_team VARCHAR, winning_driver VARCHAR)
| Which teams won when Bobby Rahal was their winning driver? | SELECT winning_team FROM table_10706961_2 WHERE winning_driver = "Bobby Rahal" | SELECT "winning_team" FROM "table_10706961_2" WHERE "Bobby Rahal" = "winning_driver" | 0.082031 |
CREATE TABLE table_name_78 (volume VARCHAR, artist VARCHAR)
| shows for the artist Santana featuring the product g&b? | SELECT volume AS :issue FROM table_name_78 WHERE artist = "santana featuring the product g&b" | SELECT "volume" AS :issue FROM "table_name_78" WHERE "artist" = "santana featuring the product g&b" | 0.09668 |
CREATE TABLE table_53493 ("Pick" FLOAT, "Round" TEXT, "Player" TEXT, "Position" TEXT, "School" TEXT)
| What was the pick number for the kicker in round 8? | SELECT COUNT("Pick") FROM table_53493 WHERE "Round" = 'round 8' AND "Position" = 'kicker' | SELECT COUNT("Pick") FROM "table_53493" WHERE "Position" = 'kicker' AND "Round" = 'round 8' | 0.088867 |
CREATE TABLE table_14346950_1 (season__number VARCHAR, teleplay_by VARCHAR, directed_by VARCHAR)
| What is the season # for a teleplay by Richard Price and the director is Steve Shill? | SELECT season__number FROM table_14346950_1 WHERE teleplay_by = "Richard Price" AND directed_by = "Steve Shill" | SELECT "season__number" FROM "table_14346950_1" WHERE "Richard Price" = "teleplay_by" AND "Steve Shill" = "directed_by" | 0.116211 |
CREATE TABLE Acceptance (Submission_ID INT, Workshop_ID INT, Result TEXT)
CREATE TABLE submission (Submission_ID INT, Scores FLOAT, Author TEXT, College TEXT)
CREATE TABLE workshop (Workshop_ID INT, Date TEXT, Venue TEXT, Name TEXT)
| Show each author and the number of workshops they submitted to Show bar chart, show by the Y-axis in desc. | SELECT Author, COUNT(DISTINCT T1.Workshop_ID) FROM Acceptance AS T1 JOIN submission AS T2 ON T1.Submission_ID = T2.Submission_ID ORDER BY COUNT(DISTINCT T1.Workshop_ID) DESC | SELECT "Author", COUNT(DISTINCT "T1"."Workshop_ID") FROM "Acceptance" AS "T1" JOIN "submission" AS "T2" ON "T1"."Submission_ID" = "T2"."Submission_ID" ORDER BY COUNT(DISTINCT "T1"."Workshop_ID") DESC NULLS LAST | 0.205078 |
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
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 medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
| did patient 005-69150 since 4 years ago receive the diagnosis of chest wall trauma? | SELECT COUNT(*) > 0 FROM diagnosis WHERE diagnosis.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '005-69150')) AND diagnosis.diagnosisname = 'chest wall trauma' AND DATETIME(diagnosis.diagnosistime) >= DATETIME(CURRENT_TIME(), '-4 year') | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '005-69150' 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 COUNT(*) > 0 FROM "diagnosis" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "diagnosis"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 'chest wall trauma' AND DATETIME("diagnosis"."diagnosistime") >= DATETIME(CURRENT_TIME(), '-4 year') AND NOT "_u_1"."" IS NULL | 0.616211 |
CREATE TABLE table_name_28 (frequency VARCHAR, call_sign VARCHAR)
| What is the call frequency sign of cjjc-fm? | SELECT frequency FROM table_name_28 WHERE call_sign = "cjjc-fm" | SELECT "frequency" FROM "table_name_28" WHERE "call_sign" = "cjjc-fm" | 0.067383 |
CREATE TABLE table_35501 ("Date" TEXT, "Home Team" TEXT, "Score" TEXT, "Away Team" TEXT, "Venue" TEXT)
| Where was the game on September 11, 2004? | SELECT "Venue" FROM table_35501 WHERE "Date" = 'september 11, 2004' | SELECT "Venue" FROM "table_35501" WHERE "Date" = 'september 11, 2004' | 0.067383 |
CREATE TABLE table_name_43 (ifop_4_24_09 VARCHAR, opinionway_4_17_09 VARCHAR, party VARCHAR)
| Name the lfop 4/24/09 for opinionway of 4/17/09 of 5% for party of left front | SELECT ifop_4_24_09 FROM table_name_43 WHERE opinionway_4_17_09 = "5%" AND party = "left front" | SELECT "ifop_4_24_09" FROM "table_name_43" WHERE "5%" = "opinionway_4_17_09" AND "left front" = "party" | 0.100586 |
CREATE TABLE table_name_51 (pos VARCHAR, driver VARCHAR, race_1 VARCHAR, points VARCHAR, qualifying VARCHAR)
| What is the total number of positions with less than 10 points, more than 7 qualifying, ret value in Race 1, and Jonathan Grant driving? | SELECT COUNT(pos) FROM table_name_51 WHERE points < 10 AND qualifying > 7 AND race_1 = "ret" AND driver = "jonathan grant" | SELECT COUNT("pos") FROM "table_name_51" WHERE "driver" = "jonathan grant" AND "points" < 10 AND "qualifying" > 7 AND "race_1" = "ret" | 0.130859 |
CREATE TABLE table_name_63 (goals INT, position VARCHAR, league VARCHAR)
| Goals that has a Position of 14th of 24, and a League of football conference has what sum? | SELECT SUM(goals) FROM table_name_63 WHERE position = "14th of 24" AND league = "football conference" | SELECT SUM("goals") FROM "table_name_63" WHERE "14th of 24" = "position" AND "football conference" = "league" | 0.106445 |
CREATE TABLE table_23149 ("Player" TEXT, "Team" TEXT, "Matches" FLOAT, "Overs" TEXT, "Wickets" FLOAT, "Economy Rate" TEXT, "Average" TEXT, "Strike Rate" TEXT, "BBI" TEXT, "BBM" TEXT)
| How many figures for wickets when the strike rate is 54.0? | SELECT COUNT("Wickets") FROM table_23149 WHERE "Strike Rate" = '54.0' | SELECT COUNT("Wickets") FROM "table_23149" WHERE "Strike Rate" = '54.0' | 0.069336 |
CREATE TABLE table_name_12 (attendance VARCHAR, result VARCHAR)
| What is the attendance when the result was w61-7? | SELECT attendance FROM table_name_12 WHERE result = "w61-7" | SELECT "attendance" FROM "table_name_12" WHERE "result" = "w61-7" | 0.063477 |
CREATE TABLE table_name_75 (first_elected INT, district VARCHAR)
| What is the average first elected for the district South Carolina 2? | SELECT AVG(first_elected) FROM table_name_75 WHERE district = "south carolina 2" | SELECT AVG("first_elected") FROM "table_name_75" WHERE "district" = "south carolina 2" | 0.083984 |
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 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 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 procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
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 d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE diagnoses_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 inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
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 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_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
| today what was the heart rate maximum value of patient 1784? | SELECT MAX(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 = 1784)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'heart rate' AND d_items.linksto = 'chartevents') AND DATETIME(chartevents.charttime, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 1784 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" = 'heart rate' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT MAX("chartevents"."valuenum") FROM "chartevents" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE DATETIME("chartevents"."charttime", 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL | 0.780273 |
CREATE TABLE table_name_54 (year INT, date VARCHAR)
| In what Year was the Game on September 26? | SELECT SUM(year) FROM table_name_54 WHERE date = "september 26" | SELECT SUM("year") FROM "table_name_54" WHERE "date" = "september 26" | 0.067383 |
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_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 class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code 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 ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
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 state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE days (days_code VARCHAR, day_name 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 flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE code_description (code VARCHAR, description 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 dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
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)
| i would like the time your earliest flight from WASHINGTON to PHILADELPHIA | SELECT DISTINCT flight.departure_time 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 = 'WASHINGTON' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PHILADELPHIA' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND flight.departure_time = (SELECT MIN(FLIGHTalias1.departure_time) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, flight AS FLIGHTalias1 WHERE CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'WASHINGTON' AND CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'PHILADELPHIA' AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) | WITH "_u_0" AS (SELECT MIN("FLIGHTalias1"."departure_time") FROM "airport_service" AS "AIRPORT_SERVICEalias2" JOIN "city" AS "CITYalias2" ON "AIRPORT_SERVICEalias2"."city_code" = "CITYalias2"."city_code" AND "CITYalias2"."city_name" = 'WASHINGTON' JOIN "flight" AS "FLIGHTalias1" ON "AIRPORT_SERVICEalias2"."airport_code" = "FLIGHTalias1"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICEalias3" ON "AIRPORT_SERVICEalias3"."airport_code" = "FLIGHTalias1"."to_airport" JOIN "city" AS "CITYalias3" ON "AIRPORT_SERVICEalias3"."city_code" = "CITYalias3"."city_code" AND "CITYalias3"."city_name" = 'PHILADELPHIA') SELECT DISTINCT "flight"."departure_time" 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" = 'WASHINGTON' 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 "_u_0" AS "_u_0" ON "_u_0"."" = "flight"."departure_time" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'PHILADELPHIA' | 1.170898 |
CREATE TABLE table_29296103_10 (tournament VARCHAR, runner_up VARCHAR)
| Which tournament was runner-up paul annacone eric korita? | SELECT tournament FROM table_29296103_10 WHERE runner_up = "Paul Annacone Eric Korita" | SELECT "tournament" FROM "table_29296103_10" WHERE "Paul Annacone Eric Korita" = "runner_up" | 0.089844 |
CREATE TABLE table_64467 ("Season" FLOAT, "Level" TEXT, "Division" TEXT, "Administration" TEXT, "Position" TEXT)
| What Adminstration has a Season of 2000? | SELECT "Administration" FROM table_64467 WHERE "Season" = '2000' | SELECT "Administration" FROM "table_64467" WHERE "Season" = '2000' | 0.064453 |
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 Student_Tests_Taken (registration_id INT, date_test_taken DATETIME, test_result 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 Subjects (subject_id INT, subject_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)
| Which tests have 'Pass' results? Return the dates when the tests were taken, and count them by a line chart | SELECT date_test_taken, COUNT(date_test_taken) FROM Student_Tests_Taken WHERE test_result = "Pass" | SELECT "date_test_taken", COUNT("date_test_taken") FROM "Student_Tests_Taken" WHERE "Pass" = "test_result" | 0.103516 |
CREATE TABLE playlist (playlistid DECIMAL, name TEXT)
CREATE TABLE customer (customerid DECIMAL, firstname TEXT, lastname TEXT, company TEXT, address TEXT, city TEXT, state TEXT, country TEXT, postalcode TEXT, phone TEXT, fax TEXT, email TEXT, supportrepid DECIMAL)
CREATE TABLE playlisttrack (playlistid DECIMAL, trackid DECIMAL)
CREATE TABLE invoice (invoiceid DECIMAL, customerid DECIMAL, invoicedate TIME, billingaddress TEXT, billingcity TEXT, billingstate TEXT, billingcountry TEXT, billingpostalcode TEXT, total DECIMAL)
CREATE TABLE invoiceline (invoicelineid DECIMAL, invoiceid DECIMAL, trackid DECIMAL, unitprice DECIMAL, quantity DECIMAL)
CREATE TABLE mediatype (mediatypeid DECIMAL, name TEXT)
CREATE TABLE track (trackid DECIMAL, name TEXT, albumid DECIMAL, mediatypeid DECIMAL, genreid DECIMAL, composer TEXT, milliseconds DECIMAL, bytes DECIMAL, unitprice DECIMAL)
CREATE TABLE artist (artistid DECIMAL, name TEXT)
CREATE TABLE album (albumid DECIMAL, title TEXT, artistid DECIMAL)
CREATE TABLE employee (employeeid DECIMAL, lastname TEXT, firstname TEXT, title TEXT, reportsto DECIMAL, birthdate TIME, hiredate TIME, address TEXT, city TEXT, state TEXT, country TEXT, postalcode TEXT, phone TEXT, fax TEXT, email TEXT)
CREATE TABLE genre (genreid DECIMAL, name TEXT)
| Please show the employee last names that serves no more than 20 customers. | SELECT T1.lastname FROM customer AS T1 JOIN employee AS T2 ON T1.supportrepid = T2.employeeid GROUP BY T1.supportrepid HAVING COUNT(*) <= 20 | SELECT "T1"."lastname" FROM "customer" AS "T1" JOIN "employee" AS "T2" ON "T1"."supportrepid" = "T2"."employeeid" GROUP BY "T1"."supportrepid" HAVING COUNT(*) <= 20 | 0.160156 |
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 state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code 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 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 dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description 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 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 compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt 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 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 equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
| show me the flights that go from SAN DIEGO to NEWARK NEW JERSEY | 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, state WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'SAN DIEGO' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'NEWARK' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code AND state.state_code = CITY_1.state_code AND state.state_name = 'NEW JERSEY' | 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 DIEGO' 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" = 'NEWARK' JOIN "state" ON "CITY_1"."state_code" = "state"."state_code" AND "state"."state_name" = 'NEW JERSEY' | 0.59375 |
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)
| count the number of patients whose lab test abnormal status is abnormal and lab test name is troponin i? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE lab.flag = "abnormal" AND lab.label = "Troponin I" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Troponin I" = "lab"."label" AND "abnormal" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.182617 |
CREATE TABLE table_26107 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "Prod. Code" TEXT)
| What is the number in the season of the episode with a production code of 2-05? | SELECT COUNT("No. in season") FROM table_26107 WHERE "Prod. Code" = '2-05' | SELECT COUNT("No. in season") FROM "table_26107" WHERE "Prod. Code" = '2-05' | 0.074219 |
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 records from the products and each product's manufacturer, return a bar chart about the distribution of founder and the average of code , and group by attribute founder, and order bars in asc order. | SELECT T2.Founder, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Founder ORDER BY T2.Founder | SELECT "T2"."Founder", "T1"."Code" FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T2"."Founder" ORDER BY "T2"."Founder" NULLS FIRST | 0.179688 |
CREATE TABLE table_name_53 (date VARCHAR, opponent VARCHAR, method VARCHAR, round VARCHAR)
| When did the opponent knockout Barry Prior in more than 2 rounds? | SELECT date FROM table_name_53 WHERE method = "knockout" AND round > 2 AND opponent = "barry prior" | SELECT "date" FROM "table_name_53" WHERE "barry prior" = "opponent" AND "knockout" = "method" AND "round" > 2 | 0.106445 |
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)
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 diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| provide the number of patients whose gender is f and primary disease is s/p fall? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "F" AND demographic.diagnosis = "S/P FALL" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "F" = "demographic"."gender" AND "S/P FALL" = "demographic"."diagnosis" | 0.142578 |
CREATE TABLE table_35345 ("Tie No." FLOAT, "Home team" TEXT, "Score" TEXT, "Away team" TEXT, "Report" TEXT, "Attendance" FLOAT)
| Which attendance has 9 as the tie no.? | SELECT "Attendance" FROM table_35345 WHERE "Tie No." = '9' | SELECT "Attendance" FROM "table_35345" WHERE "Tie No." = '9' | 0.058594 |
CREATE TABLE table_name_65 (type VARCHAR, turbines VARCHAR, location VARCHAR)
| What is the type of turbine having fewer than 17 units and located in County Laois? | SELECT type FROM table_name_65 WHERE turbines < 17 AND location = "county laois" | SELECT "type" FROM "table_name_65" WHERE "county laois" = "location" AND "turbines" < 17 | 0.085938 |
CREATE TABLE table_204_314 (id DECIMAL, "pos" DECIMAL, "team" TEXT, "played" DECIMAL, "won" DECIMAL, "draw" DECIMAL, "lost" DECIMAL, "goals for" DECIMAL, "goals against" DECIMAL, "goal difference" DECIMAL, "points" DECIMAL, "notes" TEXT)
| which two teams had the most draws ? | SELECT "team" FROM table_204_314 WHERE "draw" = (SELECT MAX("draw") FROM table_204_314) | SELECT "team" FROM "table_204_314" WHERE "draw" = (SELECT MAX("draw") FROM "table_204_314") | 0.088867 |
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)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| get me the time of admission and primary disease of patient michael witt. | SELECT demographic.diagnosis, demographic.admittime FROM demographic WHERE demographic.name = "Michael Witt" | SELECT "demographic"."diagnosis", "demographic"."admittime" FROM "demographic" WHERE "Michael Witt" = "demographic"."name" | 0.119141 |
CREATE TABLE table_20771 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Ground" TEXT, "Crowd" FLOAT, "Date" TEXT)
| What was the away team score for the game with a crowd of 5391? | SELECT "Away team score" FROM table_20771 WHERE "Crowd" = '5391' | SELECT "Away team score" FROM "table_20771" WHERE "Crowd" = '5391' | 0.064453 |
CREATE TABLE table_dev_11 ("id" INT, "pregnancy_or_lactation" BOOLEAN, "systolic_blood_pressure_sbp" INT, "heart_disease" BOOLEAN, "diastolic_blood_pressure_dbp" INT, "smoking" BOOLEAN, "donated_plasma" BOOLEAN, "coronary_artery_disease_cad" BOOLEAN, "donated_blood" BOOLEAN, "hypertension" BOOLEAN, "NOUSE" FLOAT)
| cigarette smoking | SELECT * FROM table_dev_11 WHERE smoking = 1 | SELECT * FROM "table_dev_11" WHERE "smoking" = 1 | 0.046875 |
CREATE TABLE table_28281704_1 (country VARCHAR, city VARCHAR)
| Name the country for athens | SELECT COUNT(country) FROM table_28281704_1 WHERE city = "Athens" | SELECT COUNT("country") FROM "table_28281704_1" WHERE "Athens" = "city" | 0.069336 |
CREATE TABLE table_22355_71 (silver INT)
| How many silver medalist was won? | SELECT MAX(silver) FROM table_22355_71 | SELECT MAX("silver") FROM "table_22355_71" | 0.041016 |
CREATE TABLE table_name_62 (song VARCHAR, votes VARCHAR, draw VARCHAR)
| Which song has votes greater than 640 and a draw of 1? | SELECT song FROM table_name_62 WHERE votes > 640 AND draw = 1 | SELECT "song" FROM "table_name_62" WHERE "draw" = 1 AND "votes" > 640 | 0.067383 |
CREATE TABLE table_name_75 (bleeding_time VARCHAR, condition VARCHAR)
| Which Bleeding has a Condition of congenital afibrinogenemia? | SELECT bleeding_time FROM table_name_75 WHERE condition = "congenital afibrinogenemia" | SELECT "bleeding_time" FROM "table_name_75" WHERE "condition" = "congenital afibrinogenemia" | 0.089844 |
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE procedures_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 chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_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)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title 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 d_icd_procedures (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 outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value 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 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)
| count the number of patients who have had a exploratory laparotomy procedure performed two times in 2105. | SELECT COUNT(DISTINCT t1.subject_id) FROM (SELECT admissions.subject_id, COUNT(*) AS c1 FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'exploratory laparotomy') AND STRFTIME('%y', procedures_icd.charttime) = '2105' GROUP BY admissions.subject_id) AS t1 WHERE t1.c1 = 2 | WITH "t1" AS (SELECT "admissions"."subject_id", COUNT(*) AS "c1" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'exploratory laparotomy' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" WHERE STRFTIME('%y', "procedures_icd"."charttime") = '2105' GROUP BY "admissions"."subject_id") SELECT COUNT(DISTINCT "t1"."subject_id") FROM "t1" AS "t1" WHERE "t1"."c1" = 2 | 0.475586 |
CREATE TABLE table_204_244 (id DECIMAL, "year" DECIMAL, "album" TEXT, "peak\ us" DECIMAL, "peak\ us\ holiday" DECIMAL, "certifications\ ( sales threshold ) " TEXT)
| what year comes after 1995 ? | SELECT "year" FROM table_204_244 WHERE "year" > 1995 ORDER BY "year" LIMIT 1 | SELECT "year" FROM "table_204_244" WHERE "year" > 1995 ORDER BY "year" NULLS FIRST LIMIT 1 | 0.087891 |
CREATE TABLE table_27145 ("Week" FLOAT, "Date" TEXT, "Kickoff" TEXT, "Opponent" TEXT, "Final score" TEXT, "Team record" TEXT, "Game site" TEXT, "Attendance" FLOAT)
| Who were the opponents that had an attendance of exactly 16115? | SELECT "Opponent" FROM table_27145 WHERE "Attendance" = '16115' | SELECT "Opponent" FROM "table_27145" WHERE "Attendance" = '16115' | 0.063477 |
CREATE TABLE table_26748252_1 (written_by VARCHAR, us_viewers__in_millions_ VARCHAR)
| How many people wrote the episode with 3.40 million U.S viewers? | SELECT COUNT(written_by) FROM table_26748252_1 WHERE us_viewers__in_millions_ = "3.40" | SELECT COUNT("written_by") FROM "table_26748252_1" WHERE "3.40" = "us_viewers__in_millions_" | 0.089844 |
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 lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
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 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)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
| what percentile of the calcium value is a 8.9 among a patient of the same age as patient 022-78464 when they came to the hospital last time? | SELECT DISTINCT t1.c1 FROM (SELECT lab.labresult, PERCENT_RANK() OVER (ORDER BY lab.labresult) AS c1 FROM lab WHERE lab.labname = 'calcium' AND lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.age = (SELECT patient.age FROM patient WHERE patient.uniquepid = '022-78464' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime DESC LIMIT 1))) AS t1 WHERE t1.labresult = 8.9 | WITH "_u_0" AS (SELECT "patient"."age" FROM "patient" WHERE "patient"."uniquepid" = '022-78464' AND NOT "patient"."hospitaldischargetime" IS NULL ORDER BY "patient"."hospitaladmittime" DESC NULLS LAST LIMIT 1) SELECT DISTINCT PERCENT_RANK() OVER (ORDER BY "lab"."labresult" NULLS FIRST) FROM "lab" WHERE "lab"."labname" = 'calcium' AND "lab"."labresult" = 8.9 AND "lab"."patientunitstayid" IN (SELECT "patient"."patientunitstayid" FROM "patient" JOIN "_u_0" AS "_u_0" ON "_u_0"."age" = "patient"."age") | 0.490234 |
CREATE TABLE table_name_87 (qual_1 VARCHAR, team VARCHAR, best VARCHAR)
| What is the qual 1 for rusport and had a best of 58.665? | SELECT qual_1 FROM table_name_87 WHERE team = "rusport" AND best = "58.665" | SELECT "qual_1" FROM "table_name_87" WHERE "58.665" = "best" AND "rusport" = "team" | 0.081055 |
CREATE TABLE table_47509 ("Team A" TEXT, "Team C" TEXT, "Team D" TEXT, "Team E" TEXT, "Team F" TEXT)
| Who is Team A when wilma hofschneider-david is team C? | SELECT "Team A" FROM table_47509 WHERE "Team C" = 'wilma hofschneider-david' | SELECT "Team A" FROM "table_47509" WHERE "Team C" = 'wilma hofschneider-david' | 0.076172 |
CREATE TABLE table_245801_2 (duration VARCHAR, spacecraft VARCHAR)
| When salyut 7 ve-4 eva 1 is the spacecraft, what is the duration? | SELECT duration FROM table_245801_2 WHERE spacecraft = "Salyut 7 – VE-4 – EVA 1" | SELECT "duration" FROM "table_245801_2" WHERE "Salyut 7 – VE-4 – EVA 1" = "spacecraft" | 0.083984 |
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 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 airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight 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 ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_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 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 equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code 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 date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE days (days_code VARCHAR, day_name 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)
| i'm trying to fly from DENVER to BOSTON and i want a flight that serves a meal | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight, food_service WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BOSTON' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code AND food_service.meal_code = flight.meal_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DENVER' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'DENVER' 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 "food_service" ON "flight"."meal_code" = "food_service"."meal_code" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'BOSTON' | 0.563477 |
CREATE TABLE table_dev_36 ("id" INT, "gender" TEXT, "prediabetes" BOOLEAN, "leukopenia" INT, "hemoglobin_a1c_hba1c" FLOAT, "cd4_count" INT, "platelets" INT, "hematocrit_hct" FLOAT, "fasting_triglycerides" INT, "hyperlipidemia" BOOLEAN, "lymphopenia" INT, "fasting_ldl_cholesterol" INT, "impaired_fasting_glucose" BOOLEAN, "baseline_hemoglobin_hgb" FLOAT, "fasting_glucose" INT, "NOUSE" FLOAT)
| have a hematocrit that is less than 30 % , or greater than 55 % | SELECT * FROM table_dev_36 WHERE hematocrit_hct < 30 OR hematocrit_hct > 55 | SELECT * FROM "table_dev_36" WHERE "hematocrit_hct" < 30 OR "hematocrit_hct" > 55 | 0.079102 |
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
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 instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year 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 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 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 offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE course_prerequisite (pre_course_id INT, course_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 300 -level courses in Spring or Summer term ? | SELECT DISTINCT course.department, course.name, course.number, semester.semester FROM course, course_offering, semester WHERE course.course_id = course_offering.course_id AND course.department = 'department0' AND course.number BETWEEN 300 AND 300 + 100 AND semester.semester IN ('SP', 'SU', 'SS') AND semester.semester_id = course_offering.semester AND semester.year = 2016 | SELECT DISTINCT "course"."department", "course"."name", "course"."number", "semester"."semester" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" IN ('SP', 'SU', 'SS') AND "semester"."year" = 2016 WHERE "course"."department" = 'department0' AND "course"."number" <= 400 AND "course"."number" >= 300 | 0.432617 |
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)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime 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 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 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 treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
| what are the genders of patient 021-141335? | SELECT DISTINCT patient.gender FROM patient WHERE patient.uniquepid = '021-141335' | SELECT DISTINCT "patient"."gender" FROM "patient" WHERE "patient"."uniquepid" = '021-141335' | 0.089844 |
CREATE TABLE table_name_98 (home_team VARCHAR, ground VARCHAR)
| What is the home team score for the team that has a home field of the Telstra Dome? | SELECT home_team AS score FROM table_name_98 WHERE ground = "telstra dome" | SELECT "home_team" AS "score" FROM "table_name_98" WHERE "ground" = "telstra dome" | 0.080078 |
CREATE TABLE table_26900 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "Production code" FLOAT)
| What is the production code for episode 3 in the season? | SELECT MAX("Production code") FROM table_26900 WHERE "No. in season" = '3' | SELECT MAX("Production code") FROM "table_26900" WHERE "No. in season" = '3' | 0.074219 |
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title 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 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 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 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 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_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
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 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 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)
| what is the difference between weights on patient 10431 second measured on the first hospital visit compared to the value first measured on the first hospital 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 = 10431 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime LIMIT 1)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'admit wt' 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 = 10431 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime LIMIT 1)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'admit wt' 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" = 'admit wt' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") 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" WHERE "icustays"."hadm_id" IN (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 10431 AND NOT "admissions"."dischtime" IS NULL ORDER BY "admissions"."admittime" NULLS FIRST 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" WHERE "icustays"."hadm_id" IN (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 10431 AND NOT "admissions"."dischtime" IS NULL ORDER BY "admissions"."admittime" NULLS FIRST LIMIT 1)) AND NOT "_u_6"."" IS NULL ORDER BY "chartevents"."charttime" NULLS FIRST LIMIT 1) | 1.140625 |
CREATE TABLE table_22568 ("Position" FLOAT, "Team" TEXT, "Played" FLOAT, "Wins" FLOAT, "Draws P.K. Wins / P.K. Losses" TEXT, "Losses" FLOAT, "Scored" FLOAT, "Conceded" FLOAT, "Points" FLOAT)
| How many wins? | SELECT MAX("Wins") FROM table_22568 | SELECT MAX("Wins") FROM "table_22568" | 0.036133 |
CREATE TABLE table_57891 ("Date" TEXT, "Visitor" TEXT, "Score" TEXT, "Home" TEXT, "Leading scorer" TEXT, "Record" TEXT)
| What is the Date with a Leading scorer with maurice williams (25), and a Score with 102 105? | SELECT "Date" FROM table_57891 WHERE "Leading scorer" = 'maurice williams (25)' AND "Score" = '102–105' | SELECT "Date" FROM "table_57891" WHERE "Leading scorer" = 'maurice williams (25)' AND "Score" = '102–105' | 0.102539 |
CREATE TABLE table_50193 ("Player" TEXT, "Country" TEXT, "Year ( s ) won" FLOAT, "Total" FLOAT, "To par" FLOAT, "Finish" TEXT)
| What is Highest Total, when Year(s) Won is before 1959? | SELECT MAX("Total") FROM table_50193 WHERE "Year(s) won" < '1959' | SELECT MAX("Total") FROM "table_50193" WHERE "Year(s) won" < '1959' | 0.06543 |
CREATE TABLE table_33675 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Record" TEXT, "Attendance" FLOAT)
| Who was the opponent on November 26, 1989? | SELECT "Opponent" FROM table_33675 WHERE "Date" = 'november 26, 1989' | SELECT "Opponent" FROM "table_33675" WHERE "Date" = 'november 26, 1989' | 0.069336 |
CREATE TABLE table_64409 ("Rank" FLOAT, "Lane" FLOAT, "Name" TEXT, "Nationality" TEXT, "Time" TEXT)
| Can you tell me the Name that has the Rank of 4? | SELECT "Name" FROM table_64409 WHERE "Rank" = '4' | SELECT "Name" FROM "table_64409" WHERE "Rank" = '4' | 0.049805 |
CREATE TABLE table_18217750_1 (series__number VARCHAR, us_viewers__millions_ VARCHAR)
| What series number garnered 20.64 million viewers? | SELECT series__number FROM table_18217750_1 WHERE us_viewers__millions_ = "20.64" | SELECT "series__number" FROM "table_18217750_1" WHERE "20.64" = "us_viewers__millions_" | 0.084961 |
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime 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 lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime 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 microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime 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)
| when was patient 025-5271 first measured a heartrate since 05/13/2105? | 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 = '025-5271')) AND NOT vitalperiodic.heartrate IS NULL AND STRFTIME('%y-%m-%d', vitalperiodic.observationtime) >= '2105-05-13' ORDER BY vitalperiodic.observationtime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '025-5271' 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 NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."heartrate" IS NULL AND STRFTIME('%y-%m-%d', "vitalperiodic"."observationtime") >= '2105-05-13' ORDER BY "vitalperiodic"."observationtime" NULLS FIRST LIMIT 1 | 0.69043 |
CREATE TABLE table_name_41 (player VARCHAR, date VARCHAR)
| Which player played on 07/06/1997? | SELECT player FROM table_name_41 WHERE date = "07/06/1997" | SELECT "player" FROM "table_name_41" WHERE "07/06/1997" = "date" | 0.0625 |
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
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_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 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 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 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 compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
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 time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
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 state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
| what is the earliest flight leaving BOSTON and arriving in ATLANTA on 11 7 | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE ((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ATLANTA' AND date_day.day_number = 7 AND date_day.month_number = 11 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.departure_time = (SELECT MIN(FLIGHTalias1.departure_time) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, date_day AS DATE_DAYalias1, days AS DAYSalias1, flight AS FLIGHTalias1 WHERE (CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'ATLANTA' AND DATE_DAYalias1.day_number = 7 AND DATE_DAYalias1.month_number = 11 AND DATE_DAYalias1.year = 1991 AND DAYSalias1.day_name = DATE_DAYalias1.day_name AND FLIGHTalias1.flight_days = DAYSalias1.days_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) AND CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'BOSTON' AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code) | WITH "_u_0" AS (SELECT MIN("FLIGHTalias1"."departure_time") FROM "airport_service" AS "AIRPORT_SERVICEalias2" JOIN "date_day" AS "DATE_DAYalias1" ON "DATE_DAYalias1"."day_number" = 7 AND "DATE_DAYalias1"."month_number" = 11 AND "DATE_DAYalias1"."year" = 1991 JOIN "city" AS "CITYalias2" ON "AIRPORT_SERVICEalias2"."city_code" = "CITYalias2"."city_code" AND "CITYalias2"."city_name" = 'BOSTON' JOIN "days" AS "DAYSalias1" ON "DATE_DAYalias1"."day_name" = "DAYSalias1"."day_name" JOIN "flight" AS "FLIGHTalias1" ON "AIRPORT_SERVICEalias2"."airport_code" = "FLIGHTalias1"."from_airport" AND "DAYSalias1"."days_code" = "FLIGHTalias1"."flight_days" JOIN "airport_service" AS "AIRPORT_SERVICEalias3" ON "AIRPORT_SERVICEalias3"."airport_code" = "FLIGHTalias1"."to_airport" JOIN "city" AS "CITYalias3" ON "AIRPORT_SERVICEalias3"."city_code" = "CITYalias3"."city_code" AND "CITYalias3"."city_name" = 'ATLANTA') SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 7 AND "date_day"."month_number" = 11 AND "date_day"."year" = 1991 JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'BOSTON' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "flight"."departure_time" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'ATLANTA' | 1.646484 |
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId 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 PostTags (PostId DECIMAL, TagId DECIMAL)
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 FlagTypes (Id DECIMAL, Name TEXT, Description 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 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 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 VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name 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 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 ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE CloseReasonTypes (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 ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
| Got most down to non-CW answers. | SELECT DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS Rank, Posts.OwnerUserId AS "user_link", Posts.OwnerUserId AS UserId, COUNT(*) AS Count FROM Posts, Votes WHERE Posts.Id = Votes.PostId AND Votes.VoteTypeId = 3 AND Posts.PostTypeId = 2 AND Posts.CommunityOwnedDate IS NULL AND Posts.OwnerUserId > 0 GROUP BY Posts.OwnerUserId ORDER BY Count DESC, UserId LIMIT 100 | SELECT DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "Rank", "Posts"."OwnerUserId" AS "user_link", "Posts"."OwnerUserId" AS "UserId", COUNT(*) AS "Count" FROM "Posts" JOIN "Votes" ON "Posts"."Id" = "Votes"."PostId" AND "Votes"."VoteTypeId" = 3 WHERE "Posts"."CommunityOwnedDate" IS NULL AND "Posts"."OwnerUserId" > 0 AND "Posts"."PostTypeId" = 2 GROUP BY "Posts"."OwnerUserId" ORDER BY "Count" DESC NULLS LAST, "UserId" NULLS FIRST LIMIT 100 | 0.441406 |
CREATE TABLE table_76432 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "TV Time" TEXT, "Attendance" TEXT)
| WHAT IS THE RESULT WHEN THE OPPONENT WAS CHICAGO BEARS? | SELECT "Result" FROM table_76432 WHERE "Opponent" = 'chicago bears' | SELECT "Result" FROM "table_76432" WHERE "Opponent" = 'chicago bears' | 0.067383 |
CREATE TABLE table_204_650 (id DECIMAL, "season" DECIMAL, "level" DECIMAL, "name" TEXT, "position" TEXT, "nationality" TEXT, "international\ caps" DECIMAL)
| what season comes after 1986 | SELECT "season" FROM table_204_650 WHERE "season" > 1986 ORDER BY "season" LIMIT 1 | SELECT "season" FROM "table_204_650" WHERE "season" > 1986 ORDER BY "season" NULLS FIRST LIMIT 1 | 0.09375 |
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 the number of patients whose insurance is self pay and lab test name is fibrin degradation products? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.insurance = "Self Pay" AND lab.label = "Fibrin Degradation Products" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Fibrin Degradation Products" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "Self Pay" = "demographic"."insurance" | 0.213867 |
CREATE TABLE table_40181 ("Name" TEXT, "Pos." TEXT, "Height" TEXT, "Weight" FLOAT, "Year" TEXT, "Hometown ( Previous school ) " TEXT)
| What is the Year of the person who is 6'1', and weighs more than 165? | SELECT "Year" FROM table_40181 WHERE "Height" = '6''1' AND "Weight" > '165' | SELECT "Year" FROM "table_40181" WHERE "Height" = '6\'1' AND "Weight" > '165' | 0.075195 |
CREATE TABLE Invoice_Line_Items (order_item_id INT, invoice_number INT, product_id INT, product_title VARCHAR, product_quantity VARCHAR, product_price DECIMAL, derived_product_cost DECIMAL, derived_vat_payable DECIMAL, derived_total_cost DECIMAL)
CREATE TABLE Product_Categories (production_type_code VARCHAR, product_type_description VARCHAR, vat_rating DECIMAL)
CREATE TABLE Order_Items (order_item_id INT, order_id INT, product_id INT, product_quantity VARCHAR, other_order_item_details VARCHAR)
CREATE TABLE Orders (order_id INT, customer_id INT, date_order_placed DATETIME, order_details VARCHAR)
CREATE TABLE Accounts (account_id INT, customer_id INT, date_account_opened DATETIME, account_name VARCHAR, other_account_details VARCHAR)
CREATE TABLE Invoices (invoice_number INT, order_id INT, invoice_date DATETIME)
CREATE TABLE Financial_Transactions (transaction_id INT, account_id INT, invoice_number INT, transaction_type VARCHAR, transaction_date DATETIME, transaction_amount DECIMAL, transaction_comment VARCHAR, other_transaction_details VARCHAR)
CREATE TABLE Products (product_id INT, parent_product_id INT, production_type_code VARCHAR, unit_price DECIMAL, product_name VARCHAR, product_color VARCHAR, product_size VARCHAR)
CREATE TABLE Customers (customer_id INT, customer_first_name VARCHAR, customer_middle_initial VARCHAR, customer_last_name VARCHAR, gender VARCHAR, email_address VARCHAR, login_name VARCHAR, login_password VARCHAR, phone_number VARCHAR, town_city VARCHAR, state_county_province VARCHAR, country VARCHAR)
| Give the order ids for all orders, as well as the total product quantity in each in a scatter chart | SELECT order_id, SUM(product_quantity) FROM Order_Items GROUP BY order_id | SELECT "order_id", SUM("product_quantity") FROM "Order_Items" GROUP BY "order_id" | 0.079102 |
CREATE TABLE table_name_17 (away_team VARCHAR, home_team VARCHAR, score VARCHAR)
| Can you tell me the Away team that has the Home team of south dragons, and the Score of 94-81? | SELECT away_team FROM table_name_17 WHERE home_team = "south dragons" AND score = "94-81" | SELECT "away_team" FROM "table_name_17" WHERE "94-81" = "score" AND "home_team" = "south dragons" | 0.094727 |
CREATE TABLE table_name_41 (nationality VARCHAR, round VARCHAR, position VARCHAR)
| What is the nationality of the player with a round after 4 and plays right wing? | SELECT nationality FROM table_name_41 WHERE round > 4 AND position = "right wing" | SELECT "nationality" FROM "table_name_41" WHERE "position" = "right wing" AND "round" > 4 | 0.086914 |
CREATE TABLE performance (Performance_ID FLOAT, Date TEXT, Host TEXT, Location TEXT, Attendance INT)
CREATE TABLE member (Member_ID TEXT, Name TEXT, Nationality TEXT, Role TEXT)
CREATE TABLE member_attendance (Member_ID INT, Performance_ID INT, Num_of_Pieces INT)
| Show the number of the dates of performances with attending members whose roles are 'Violin', I want to rank from high to low by the bar. | SELECT Date, COUNT(Date) FROM member_attendance AS T1 JOIN member AS T2 ON T1.Member_ID = T2.Member_ID JOIN performance AS T3 ON T1.Performance_ID = T3.Performance_ID WHERE T2.Role = "Violin" GROUP BY Date ORDER BY Date DESC | SELECT "Date", COUNT("Date") FROM "member_attendance" AS "T1" JOIN "member" AS "T2" ON "T1"."Member_ID" = "T2"."Member_ID" AND "T2"."Role" = "Violin" JOIN "performance" AS "T3" ON "T1"."Performance_ID" = "T3"."Performance_ID" GROUP BY "Date" ORDER BY "Date" DESC NULLS LAST | 0.266602 |
CREATE TABLE table_67233 ("Round" FLOAT, "Pick #" FLOAT, "Overall" FLOAT, "Name" TEXT, "Position" TEXT, "College" TEXT)
| What is Ken Walter's lowest pick number with an overall pick number larger than 195? | SELECT MIN("Pick #") FROM table_67233 WHERE "Name" = 'ken walter' AND "Overall" > '195' | SELECT MIN("Pick #") FROM "table_67233" WHERE "Name" = 'ken walter' AND "Overall" > '195' | 0.086914 |
CREATE TABLE table_73445 ("County" TEXT, "Population" FLOAT, "Unemployment Rate" TEXT, "Market Income Per Capita" TEXT, "Poverty Rate" TEXT, "Status" TEXT)
| What is the market income per capita of the county with the 9.4% poverty rate? | SELECT "Market Income Per Capita" FROM table_73445 WHERE "Poverty Rate" = '9.4%' | SELECT "Market Income Per Capita" FROM "table_73445" WHERE "Poverty Rate" = '9.4%' | 0.080078 |
CREATE TABLE station (id INT, name TEXT, lat DECIMAL, long DECIMAL, dock_count INT, city TEXT, installation_date TEXT)
CREATE TABLE status (station_id INT, bikes_available INT, docks_available INT, time TEXT)
CREATE TABLE weather (date TEXT, max_temperature_f INT, mean_temperature_f INT, min_temperature_f INT, max_dew_point_f INT, mean_dew_point_f INT, min_dew_point_f INT, max_humidity INT, mean_humidity INT, min_humidity INT, max_sea_level_pressure_inches DECIMAL, mean_sea_level_pressure_inches DECIMAL, min_sea_level_pressure_inches DECIMAL, max_visibility_miles INT, mean_visibility_miles INT, min_visibility_miles INT, max_wind_Speed_mph INT, mean_wind_speed_mph INT, max_gust_speed_mph INT, precipitation_inches INT, cloud_cover INT, events TEXT, wind_dir_degrees INT, zip_code INT)
CREATE TABLE trip (id INT, duration INT, start_date TEXT, start_station_name TEXT, start_station_id INT, end_date TEXT, end_station_name TEXT, end_station_id INT, bike_id INT, subscription_type TEXT, zip_code INT)
| For those dates with a max temperature greater than or equal to 80, I would like a line chart to show the tendency, and order X-axis from low to high order. | SELECT date, COUNT(date) FROM weather WHERE max_temperature_f >= 80 GROUP BY date ORDER BY date | SELECT "date", COUNT("date") FROM "weather" WHERE "max_temperature_f" >= 80 GROUP BY "date" ORDER BY "date" NULLS FIRST | 0.116211 |
CREATE TABLE university (School_ID INT, School TEXT, Location TEXT, Founded FLOAT, Affiliation TEXT, Enrollment FLOAT, Nickname TEXT, Primary_conference TEXT)
CREATE TABLE basketball_match (Team_ID INT, School_ID INT, Team_Name TEXT, ACC_Regular_Season TEXT, ACC_Percent TEXT, ACC_Home TEXT, ACC_Road TEXT, All_Games TEXT, All_Games_Percent INT, All_Home TEXT, All_Road TEXT, All_Neutral TEXT)
| Visualize a scatter chart about the correlation between Team_ID and All_Games_Percent , and group by attribute ACC_Regular_Season. | SELECT Team_ID, All_Games_Percent FROM basketball_match GROUP BY ACC_Regular_Season | SELECT "Team_ID", "All_Games_Percent" FROM "basketball_match" GROUP BY "ACC_Regular_Season" | 0.088867 |
CREATE TABLE Documents_to_be_Destroyed (Document_ID INT, Destruction_Authorised_by_Employee_ID INT, Destroyed_by_Employee_ID INT, Planned_Destruction_Date DATETIME, Actual_Destruction_Date DATETIME, Other_Details VARCHAR)
CREATE TABLE Employees (Employee_ID INT, Role_Code CHAR, Employee_Name VARCHAR, Gender_MFU CHAR, Date_of_Birth DATETIME, Other_Details VARCHAR)
CREATE TABLE Ref_Document_Types (Document_Type_Code CHAR, Document_Type_Name VARCHAR, Document_Type_Description VARCHAR)
CREATE TABLE Ref_Locations (Location_Code CHAR, Location_Name VARCHAR, Location_Description VARCHAR)
CREATE TABLE Ref_Calendar (Calendar_Date DATETIME, Day_Number INT)
CREATE TABLE Roles (Role_Code CHAR, Role_Name VARCHAR, Role_Description VARCHAR)
CREATE TABLE All_Documents (Document_ID INT, Date_Stored DATETIME, Document_Type_Code CHAR, Document_Name CHAR, Document_Description CHAR, Other_Details VARCHAR)
CREATE TABLE Document_Locations (Document_ID INT, Location_Code CHAR, Date_in_Location_From DATETIME, Date_in_Locaton_To DATETIME)
| Show all calendar dates and bin by year in a line chart. | SELECT Calendar_Date, COUNT(Calendar_Date) FROM Ref_Calendar | SELECT "Calendar_Date", COUNT("Calendar_Date") FROM "Ref_Calendar" | 0.064453 |
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_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)
| For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about salary over the job_id , rank by the Y-axis in ascending. | SELECT JOB_ID, SALARY FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY SALARY | SELECT "JOB_ID", "SALARY" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "SALARY" NULLS FIRST | 0.19043 |
CREATE TABLE table_name_40 (format_s_ VARCHAR, date VARCHAR)
| What is the Format(s) of the release on September 23, 2008? | SELECT format_s_ FROM table_name_40 WHERE date = "september 23, 2008" | SELECT "format_s_" FROM "table_name_40" WHERE "date" = "september 23, 2008" | 0.073242 |
CREATE TABLE table_name_76 (lyrics__l____music__m_ VARCHAR, place VARCHAR)
| Who did the Lyrics (l) / Music (m) for the song in 23 Place? | SELECT lyrics__l____music__m_ FROM table_name_76 WHERE place = "23" | SELECT "lyrics__l____music__m_" FROM "table_name_76" WHERE "23" = "place" | 0.071289 |
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 city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code 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 date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description 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 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 dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare 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 time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_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 airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
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)
| please show me the flights from LAS VEGAS to DETROIT on the 28 | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DETROIT' AND date_day.day_number = 28 AND date_day.month_number = 6 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'LAS VEGAS' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 28 AND "date_day"."month_number" = 6 AND "date_day"."year" = 1991 JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'LAS VEGAS' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" JOIN "airport_service" 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" = 'DETROIT' | 0.707031 |
CREATE TABLE performance (songid DECIMAL, bandmate DECIMAL, stageposition TEXT)
CREATE TABLE instruments (songid DECIMAL, bandmateid DECIMAL, instrument TEXT)
CREATE TABLE albums (aid DECIMAL, title TEXT, year DECIMAL, label TEXT, type TEXT)
CREATE TABLE vocals (songid DECIMAL, bandmate DECIMAL, type TEXT)
CREATE TABLE tracklists (albumid DECIMAL, position DECIMAL, songid DECIMAL)
CREATE TABLE band (id DECIMAL, firstname TEXT, lastname TEXT)
CREATE TABLE songs (songid DECIMAL, title TEXT)
| How many musicians play in the song 'Flash'? | SELECT COUNT(*) FROM performance AS T1 JOIN band AS T2 ON T1.bandmate = T2.id JOIN songs AS T3 ON T3.songid = T1.songid WHERE T3.title = "Flash" | SELECT COUNT(*) FROM "performance" AS "T1" JOIN "band" AS "T2" ON "T1"."bandmate" = "T2"."id" JOIN "songs" AS "T3" ON "Flash" = "T3"."title" AND "T1"."songid" = "T3"."songid" | 0.169922 |
CREATE TABLE table_1147705_1 (engine_type VARCHAR, model VARCHAR)
| How many have are model 2.4 awd? | SELECT COUNT(engine_type) FROM table_1147705_1 WHERE model = "2.4 AWD" | SELECT COUNT("engine_type") FROM "table_1147705_1" WHERE "2.4 AWD" = "model" | 0.074219 |
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
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 patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod 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 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_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title 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 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 d_labitems (row_id DECIMAL, itemid DECIMAL, label 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 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 labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
| patient 10811's arterial bp mean was normal? | SELECT COUNT(*) > 0 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 = 10811)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp mean' AND d_items.linksto = 'chartevents') AND chartevents.valuenum BETWEEN mean_bp_lower AND mean_bp_upper | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 10811 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" = 'arterial bp mean' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT COUNT(*) > 0 FROM "chartevents" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE "chartevents"."valuenum" <= "mean_bp_upper" AND "chartevents"."valuenum" >= "mean_bp_lower" AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL | 0.757813 |
CREATE TABLE grapes (ID INT, Grape TEXT, Color TEXT)
CREATE TABLE wine (No INT, Grape TEXT, Winery TEXT, Appelation TEXT, State TEXT, Name TEXT, Year INT, Price INT, Score INT, Cases INT, Drink TEXT)
CREATE TABLE appellations (No INT, Appelation TEXT, County TEXT, State TEXT, Area TEXT, isAVA TEXT)
| List the number of winery of the wines whose price is bigger than 100 in a bar chart, and I want to rank in asc by the Y-axis. | SELECT Winery, COUNT(Winery) FROM wine WHERE Price > 100 GROUP BY Winery ORDER BY COUNT(Winery) | SELECT "Winery", COUNT("Winery") FROM "wine" WHERE "Price" > 100 GROUP BY "Winery" ORDER BY COUNT("Winery") NULLS FIRST | 0.116211 |
CREATE TABLE table_10597 ("Location" TEXT, "Venue" TEXT, "Promotion" TEXT, "Event" TEXT, "Inductee ( s ) " TEXT)
| What even was Jerry Lynn the inductee? | SELECT "Event" FROM table_10597 WHERE "Inductee(s)" = 'jerry lynn' | SELECT "Event" FROM "table_10597" WHERE "Inductee(s)" = 'jerry lynn' | 0.066406 |
CREATE TABLE table_name_46 (howard_baker VARCHAR, ronald_reagan VARCHAR)
| Name the howard baker for ronald reagan of 72% | SELECT howard_baker FROM table_name_46 WHERE ronald_reagan = "72%" | SELECT "howard_baker" FROM "table_name_46" WHERE "72%" = "ronald_reagan" | 0.070313 |
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