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CREATE TABLE table_30087032_5 (series VARCHAR, high_points VARCHAR)
| In what series did Charles Barkley (34) did most high points? | SELECT series FROM table_30087032_5 WHERE high_points = "Charles Barkley (34)" | SELECT "series" FROM "table_30087032_5" WHERE "Charles Barkley (34)" = "high_points" | 0.082031 |
CREATE TABLE table_name_80 (iata VARCHAR, city VARCHAR)
| Name the IATA for jessore | SELECT iata FROM table_name_80 WHERE city = "jessore" | SELECT "iata" FROM "table_name_80" WHERE "city" = "jessore" | 0.057617 |
CREATE TABLE table_17622423_12 (date VARCHAR, series VARCHAR)
| Name the date for series 2-2 | SELECT date FROM table_17622423_12 WHERE series = "2-2" | SELECT "date" FROM "table_17622423_12" WHERE "2-2" = "series" | 0.05957 |
CREATE TABLE table_53820 ("Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Loss" TEXT, "Attendance" FLOAT, "Record" TEXT)
| What is the attendance on may 28? | SELECT "Attendance" FROM table_53820 WHERE "Date" = 'may 28' | SELECT "Attendance" FROM "table_53820" WHERE "Date" = 'may 28' | 0.060547 |
CREATE TABLE table_23270 ("Institution" TEXT, "Location" TEXT, "Nickname" TEXT, "Founded" FLOAT, "Type" TEXT, "Enrollment" FLOAT, "Joined" FLOAT)
| What's the type of the school in New London, Connecticut? | SELECT "Type" FROM table_23270 WHERE "Location" = 'New London, Connecticut' | SELECT "Type" FROM "table_23270" WHERE "Location" = 'New London, Connecticut' | 0.075195 |
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime 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 allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
| how many patients have undergone glucocorticoids - dexamethasone in the same month in 2102 after the previous procedure of vte prophylaxis - compression boots? | SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, treatment.treatmenttime FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'vte prophylaxis - compression boots' AND STRFTIME('%y', treatment.treatmenttime) = '2102') AS t1 JOIN (SELECT patient.uniquepid, treatment.treatmenttime FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'glucocorticoids - dexamethasone' AND STRFTIME('%y', treatment.treatmenttime) = '2102') AS t2 WHERE t1.treatmenttime < t2.treatmenttime AND DATETIME(t1.treatmenttime, 'start of month') = DATETIME(t2.treatmenttime, 'start of month') | SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "treatment" JOIN "patient" ON "patient"."patientunitstayid" = "treatment"."patientunitstayid" JOIN "treatment" AS "treatment_2" ON "treatment"."treatmenttime" < "treatment_2"."treatmenttime" AND "treatment_2"."treatmentname" = 'glucocorticoids - dexamethasone' AND DATETIME("treatment"."treatmenttime", 'start of month') = DATETIME("treatment_2"."treatmenttime", 'start of month') AND STRFTIME('%y', "treatment_2"."treatmenttime") = '2102' JOIN "patient" AS "patient_2" ON "patient_2"."patientunitstayid" = "treatment_2"."patientunitstayid" WHERE "treatment"."treatmentname" = 'vte prophylaxis - compression boots' AND STRFTIME('%y', "treatment"."treatmenttime") = '2102' | 0.704102 |
CREATE TABLE Allergy_Type (Allergy VARCHAR, AllergyType VARCHAR)
CREATE TABLE Has_Allergy (StuID INT, Allergy VARCHAR)
CREATE TABLE Student (StuID INT, LName VARCHAR, Fname VARCHAR, Age INT, Sex VARCHAR, Major INT, Advisor INT, city_code VARCHAR)
| Show all allergy types and the number of allergies in each type in a bar chart, rank total number in ascending order. | SELECT AllergyType, COUNT(*) FROM Allergy_Type GROUP BY AllergyType ORDER BY COUNT(*) | SELECT "AllergyType", COUNT(*) FROM "Allergy_Type" GROUP BY "AllergyType" ORDER BY COUNT(*) NULLS FIRST | 0.100586 |
CREATE TABLE table_18106 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "First elected" FLOAT, "Results" TEXT, "Candidates" TEXT)
| What year was Luis Gutierrez election | SELECT MIN("First elected") FROM table_18106 WHERE "Incumbent" = 'Luis Gutierrez' | SELECT MIN("First elected") FROM "table_18106" WHERE "Incumbent" = 'Luis Gutierrez' | 0.081055 |
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 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 city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description 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 flight_fare (flight_id INT, fare_id INT)
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 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 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 date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
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 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 food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note 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 code_description (code VARCHAR, description TEXT)
| is there 1 stop with the US BOSTON leaving at 705 to ATLANTA | 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 (((flight.departure_time = 705 AND flight.stops = 1) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ATLANTA' 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.airline_code = 'US' | 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" = 'BOSTON' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."airline_code" = 'US' AND "flight"."departure_time" = 705 AND "flight"."stops" = 1 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" = 'ATLANTA' | 0.586914 |
CREATE TABLE table_1610496_3 (gdp_per_capita_nominal__ INT, population__millions_ VARCHAR)
| What is the nominal GDP per capita when the population is 63.056 million? | SELECT MIN(gdp_per_capita_nominal__) AS $_ FROM table_1610496_3 WHERE population__millions_ = "63.056" | SELECT MIN("gdp_per_capita_nominal__") AS $_ FROM "table_1610496_3" WHERE "63.056" = "population__millions_" | 0.105469 |
CREATE TABLE time_interval (period TEXT, begin_time INT, end_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 days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE flight_fare (flight_id INT, fare_id 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 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 date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE 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 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 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 food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE month (month_number INT, month_name TEXT)
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 time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
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)
| please give me the flights from KANSAS CITY to CHICAGO on 6 16 | 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 = 'CHICAGO' AND date_day.day_number = 16 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 = 'KANSAS CITY' 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" = 16 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" = 'KANSAS CITY' 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" = 'CHICAGO' | 0.708984 |
CREATE TABLE table_35613 ("Rank" TEXT, "Margin" TEXT, "Opponent" TEXT, "Venue" TEXT, "Season" TEXT)
| What opponent has 2011/12 as the season? | SELECT "Opponent" FROM table_35613 WHERE "Season" = '2011/12' | SELECT "Opponent" FROM "table_35613" WHERE "Season" = '2011/12' | 0.061523 |
CREATE TABLE table_name_98 (white_hat VARCHAR, ullrich VARCHAR, dakota_mission VARCHAR, deloria_ VARCHAR, _boas VARCHAR)
| Dakota Mission of t, and a Deloria & Boas of t , and a Ullrich of t had what white hat? | SELECT white_hat FROM table_name_98 WHERE dakota_mission = "t" AND deloria_ & _boas = "tʽ" AND ullrich = "tȟ" | SELECT "white_hat" FROM "table_name_98" WHERE "dakota_mission" = "t" AND "tȟ" = "ullrich" AND "tʽ" = "deloria_" & "_boas" | 0.118164 |
CREATE TABLE products (name VARCHAR, price VARCHAR)
| Select the name of the products with a price less than or equal to $200. | SELECT name FROM products WHERE price <= 200 | SELECT "name" FROM "products" WHERE "price" <= 200 | 0.048828 |
CREATE TABLE table_46543 ("Wicket" TEXT, "Runs" FLOAT, "Batting partners" TEXT, "Batting team" TEXT, "Fielding team" TEXT, "Venue" TEXT, "Season" TEXT)
| Who were the batting partners that played for India in 1997? | SELECT "Batting partners" FROM table_46543 WHERE "Fielding team" = 'india' AND "Season" = '1997' | SELECT "Batting partners" FROM "table_46543" WHERE "Fielding team" = 'india' AND "Season" = '1997' | 0.095703 |
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id 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 gsi (course_offering_id INT, student_id INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
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 comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE 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 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)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
| Is a project part of 388 ? | SELECT DISTINCT has_projects FROM course WHERE department = 'EECS' AND number = 388 | SELECT DISTINCT "has_projects" FROM "course" WHERE "department" = 'EECS' AND "number" = 388 | 0.088867 |
CREATE TABLE table_9880 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Record" TEXT, "Attendance" TEXT)
| What was the Opponent in the game with a Result of W 23-7? | SELECT "Opponent" FROM table_9880 WHERE "Result" = 'w 23-7' | SELECT "Opponent" FROM "table_9880" WHERE "Result" = 'w 23-7' | 0.05957 |
CREATE TABLE table_58093 ("Rank" TEXT, "Nation" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| How many silver have a Total smaller than 3, a Bronze of 1, and a Gold larger than 0? | SELECT MAX("Silver") FROM table_58093 WHERE "Total" < '3' AND "Bronze" = '1' AND "Gold" > '0' | SELECT MAX("Silver") FROM "table_58093" WHERE "Bronze" = '1' AND "Gold" > '0' AND "Total" < '3' | 0.092773 |
CREATE TABLE table_3262 ("Date" TEXT, "Time ( ET ) " TEXT, "Event #" FLOAT, "Event" TEXT, "Winner" TEXT, "Prize" TEXT, "Entries" TEXT, "Prize Pool" TEXT, "Elapsed Time" TEXT)
| If the event number is 5, what is the winner total number? | SELECT COUNT("Winner") FROM table_3262 WHERE "Event #" = '5' | SELECT COUNT("Winner") FROM "table_3262" WHERE "Event #" = '5' | 0.060547 |
CREATE TABLE table_204_103 (id DECIMAL, "medal" TEXT, "name" TEXT, "sport" TEXT, "event" TEXT)
| how many silver medals did satheesha rai win according to the table ? | SELECT COUNT("medal") FROM table_204_103 WHERE "name" = 'satheesha rai' | SELECT COUNT("medal") FROM "table_204_103" WHERE "name" = 'satheesha rai' | 0.071289 |
CREATE TABLE table_1590652_4 (margin_of_victory VARCHAR, date VARCHAR)
| Name th margin of victory when date is 10 jul 2011 | SELECT margin_of_victory FROM table_1590652_4 WHERE date = "10 Jul 2011" | SELECT "margin_of_victory" FROM "table_1590652_4" WHERE "10 Jul 2011" = "date" | 0.076172 |
CREATE TABLE table_18882 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
| How many records are there for the games that took place on January 14. | SELECT COUNT("Record") FROM table_18882 WHERE "Date" = 'January 14' | SELECT COUNT("Record") FROM "table_18882" WHERE "Date" = 'January 14' | 0.067383 |
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 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 d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title 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 chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE 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 procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod 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_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
| what is the total output amount for patient 15794 on 12/29/this year? | SELECT SUM(outputevents.value) FROM outputevents WHERE outputevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 15794)) AND DATETIME(outputevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND STRFTIME('%m-%d', outputevents.charttime) = '12-29' | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 15794 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") SELECT SUM("outputevents"."value") FROM "outputevents" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "outputevents"."icustay_id" WHERE DATETIME("outputevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_1"."" IS NULL AND STRFTIME('%m-%d', "outputevents"."charttime") = '12-29' | 0.607422 |
CREATE TABLE table_35185 ("Game" FLOAT, "March" FLOAT, "Opponent" TEXT, "Score" TEXT, "Record" TEXT)
| Game larger than 76, and a March larger than 26 involves what score? | SELECT "Score" FROM table_35185 WHERE "Game" > '76' AND "March" > '26' | SELECT "Score" FROM "table_35185" WHERE "Game" > '76' AND "March" > '26' | 0.070313 |
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE 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 FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description 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 ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
| Questions and Answers per Day by Month. | SELECT YEAR(CreationDate) + (MONTH(CreationDate) / 12.0), COUNT(*) * 1.0 / (CASE WHEN YEAR(CreationDate) = YEAR(@maxdate) AND MONTH(CreationDate) = MONTH(@maxdate) THEN DAY(@maxdate) ELSE DAY(DATEADD(DD, -1, DATEADD(MM, DATEDIFF(MM, -1, CreationDate), 0))) END) FROM Posts WHERE ParentId IS NULL GROUP BY YEAR(CreationDate), MONTH(CreationDate), DAY(DATEADD(DD, -1, DATEADD(MM, DATEDIFF(MM, -1, CreationDate), 0))) ORDER BY YEAR(CreationDate), MONTH(CreationDate) | SELECT YEAR("CreationDate") + (MONTH("CreationDate") / NULLIF(12.0, 0)), COUNT(*) * 1.0 / NULLIF((CASE WHEN YEAR("CreationDate") = YEAR($maxdate) AND MONTH("CreationDate") = MONTH($maxdate) THEN DAY($maxdate) ELSE DAY(DATEADD(DAY, -1, DATEADD(MONTH, DATEDIFF(CREATIONDATE, CAST(-1 AS DATETIME), CAST("MM" AS DATETIME)), 0))) END), 0) FROM "Posts" WHERE "ParentId" IS NULL GROUP BY YEAR("CreationDate"), MONTH("CreationDate"), DAY(DATEADD(DAY, -1, DATEADD(MONTH, DATEDIFF(CREATIONDATE, CAST(-1 AS DATETIME), CAST("MM" AS DATETIME)), 0))) ORDER BY YEAR("CreationDate") NULLS FIRST, MONTH("CreationDate") NULLS FIRST | 0.598633 |
CREATE TABLE table_name_31 (score VARCHAR, round VARCHAR)
| What was the score of the match that took place in the playoff round? | SELECT score FROM table_name_31 WHERE round = "playoff" | SELECT "score" FROM "table_name_31" WHERE "playoff" = "round" | 0.05957 |
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostTypes (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 VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskResultTypes (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 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 PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment 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 PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
| Top editors of the site. | WITH Raw AS (SELECT DISTINCT UserId, PostId FROM PostHistory, Posts WHERE PostHistory.PostHistoryTypeId IN (4, 5, 6) AND PostHistory.PostId = Posts.Id AND PostHistory.UserId != Posts.OwnerUserId AND NOT UserId IS NULL GROUP BY UserId, PostId), Raw2 AS (SELECT UserId, COUNT(*) AS N FROM Raw GROUP BY UserId) SELECT DENSE_RANK() OVER (ORDER BY N DESC) AS Rank, UserId AS "user_link", N FROM Raw2 ORDER BY N DESC LIMIT 200 | WITH "Raw" AS (SELECT DISTINCT "UserId", "PostId" FROM "PostHistory" JOIN "Posts" ON "PostHistory"."PostId" = "Posts"."Id" AND "PostHistory"."UserId" <> "Posts"."OwnerUserId" WHERE "PostHistory"."PostHistoryTypeId" IN (4, 5, 6) AND NOT "UserId" IS NULL GROUP BY "UserId", "PostId"), "Raw2" AS (SELECT MAX(1) AS "_" FROM "Raw" GROUP BY "UserId") SELECT DENSE_RANK() OVER (ORDER BY "N" DESC NULLS LAST) AS "Rank", "UserId" AS "user_link", "N" FROM "Raw2" ORDER BY "N" DESC NULLS LAST LIMIT 200 | 0.479492 |
CREATE TABLE table_name_83 (opponent VARCHAR, record VARCHAR)
| Which Opponent has a Record of 0-3? | SELECT opponent FROM table_name_83 WHERE record = "0-3" | SELECT "opponent" FROM "table_name_83" WHERE "0-3" = "record" | 0.05957 |
CREATE TABLE table_23537091_1 (copper_age VARCHAR, ubaid_period_in_mesopotamia VARCHAR)
| When middle assyrian empire is the ubaid period in mesopotamia what is the copper age? | SELECT copper_age FROM table_23537091_1 WHERE ubaid_period_in_mesopotamia = "Middle Assyrian Empire" | SELECT "copper_age" FROM "table_23537091_1" WHERE "Middle Assyrian Empire" = "ubaid_period_in_mesopotamia" | 0.103516 |
CREATE TABLE table_73275 ("English Name" TEXT, "Simplified" TEXT, "Traditional" TEXT, "Pinyin" TEXT, "Area" FLOAT, "Population" FLOAT, "Density" FLOAT)
| How many areas have a population of 703379? | SELECT COUNT("Area") FROM table_73275 WHERE "Population" = '703379' | SELECT COUNT("Area") FROM "table_73275" WHERE "Population" = '703379' | 0.067383 |
CREATE TABLE table_33115 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| What away team scored 6.12 (48)? | SELECT "Away team" FROM table_33115 WHERE "Away team score" = '6.12 (48)' | SELECT "Away team" FROM "table_33115" WHERE "Away team score" = '6.12 (48)' | 0.073242 |
CREATE TABLE table_26920192_5 (round VARCHAR, series VARCHAR, circuit VARCHAR)
| How many times is the series italian and the circuit is valencia? | SELECT COUNT(round) FROM table_26920192_5 WHERE series = "Italian" AND circuit = "Valencia" | SELECT COUNT("round") FROM "table_26920192_5" WHERE "Italian" = "series" AND "Valencia" = "circuit" | 0.09668 |
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 diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| give the number of newborns who were born before the year 2168. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "NEWBORN" AND demographic.dob_year < "2168" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2168" > "demographic"."dob_year" AND "NEWBORN" = "demographic"."admission_type" | 0.151367 |
CREATE TABLE table_204_211 (id DECIMAL, "rank" DECIMAL, "nation" TEXT, "gold" DECIMAL, "silver" DECIMAL, "bronze" DECIMAL, "total" DECIMAL)
| how has the most golds ? | SELECT "nation" FROM table_204_211 ORDER BY "gold" DESC LIMIT 1 | SELECT "nation" FROM "table_204_211" ORDER BY "gold" DESC NULLS LAST LIMIT 1 | 0.074219 |
CREATE TABLE table_name_62 (home_team VARCHAR)
| What was Footscray's Home team score? | SELECT home_team AS score FROM table_name_62 WHERE home_team = "footscray" | SELECT "home_team" AS "score" FROM "table_name_62" WHERE "footscray" = "home_team" | 0.080078 |
CREATE TABLE table_58109 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| Where did South Melbourne play as the home team? | SELECT "Venue" FROM table_58109 WHERE "Home team" = 'south melbourne' | SELECT "Venue" FROM "table_58109" WHERE "Home team" = 'south melbourne' | 0.069336 |
CREATE TABLE table_72190 ("Year" FLOAT, "Championship" TEXT, "54 holes" TEXT, "Winning score" TEXT, "Margin" TEXT, "Runner ( s ) -up" TEXT)
| who is the runner(s)-up where 54 holes is tied for lead and margin is 5 strokes | SELECT "Runner(s)-up" FROM table_72190 WHERE "54 holes" = 'Tied for lead' AND "Margin" = '5 strokes' | SELECT "Runner(s)-up" FROM "table_72190" WHERE "54 holes" = 'Tied for lead' AND "Margin" = '5 strokes' | 0.099609 |
CREATE TABLE table_name_80 (venue VARCHAR, competition VARCHAR)
| Which venue held the Euro 2012 Qualifier? | SELECT venue FROM table_name_80 WHERE competition = "euro 2012 qualifier" | SELECT "venue" FROM "table_name_80" WHERE "competition" = "euro 2012 qualifier" | 0.077148 |
CREATE TABLE table_71543 ("Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Loss" TEXT, "Attendance" TEXT)
| What was the loss of the game attended by 14,691? | SELECT "Loss" FROM table_71543 WHERE "Attendance" = '14,691' | SELECT "Loss" FROM "table_71543" WHERE "Attendance" = '14,691' | 0.060547 |
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)
| Return a scatter chart about the correlation between Team_ID and All_Games_Percent , and group by attribute All_Home. | SELECT Team_ID, All_Games_Percent FROM basketball_match GROUP BY All_Home | SELECT "Team_ID", "All_Games_Percent" FROM "basketball_match" GROUP BY "All_Home" | 0.079102 |
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 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 lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| Which of the patients were born before 2058 that had joing fluid lab test done? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dob_year < "2058" AND lab.fluid = "Joint Fluid" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Joint Fluid" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2058" > "demographic"."dob_year" | 0.193359 |
CREATE TABLE table_name_78 (place_of_birth VARCHAR, elevated VARCHAR, cardinalatial_title VARCHAR)
| What is the place of birth when elevated is May 16, 1288, and cardinalatial title is Deacon of S. Eustachio? | SELECT place_of_birth FROM table_name_78 WHERE elevated = "may 16, 1288" AND cardinalatial_title = "deacon of s. eustachio" | SELECT "place_of_birth" FROM "table_name_78" WHERE "cardinalatial_title" = "deacon of s. eustachio" AND "elevated" = "may 16, 1288" | 0.12793 |
CREATE TABLE table_name_49 (home_team VARCHAR, date VARCHAR, tie_no VARCHAR)
| What is Home Team, when Date is '6 December 1986', and when Tie No is '4'? | SELECT home_team FROM table_name_49 WHERE date = "6 december 1986" AND tie_no = "4" | SELECT "home_team" FROM "table_name_49" WHERE "4" = "tie_no" AND "6 december 1986" = "date" | 0.088867 |
CREATE TABLE table_name_5 (college_junior_club_team VARCHAR, pick VARCHAR)
| Tell me the college/junior club team for pick of 16 | SELECT college_junior_club_team FROM table_name_5 WHERE pick = "16" | SELECT "college_junior_club_team" FROM "table_name_5" WHERE "16" = "pick" | 0.071289 |
CREATE TABLE table_14976504_2 (new_conference VARCHAR, institution VARCHAR)
| What is California State University, Hayward's new conference for Western Collegiate Lacrosse? | SELECT new_conference FROM table_14976504_2 WHERE institution = "California State University, Hayward" | SELECT "new_conference" FROM "table_14976504_2" WHERE "California State University, Hayward" = "institution" | 0.105469 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| give the number of patients discharged at home after procedure named int insert dual-cham dev. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.discharge_location = "HOME" AND procedures.short_title = "Int insert dual-cham dev" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Int insert dual-cham dev" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "HOME" = "demographic"."discharge_location" | 0.242188 |
CREATE TABLE table_1229 ("Station" TEXT, "Year opened" TEXT, "Metropolitan borough [c ]" TEXT, "Zone" FLOAT, "Servedby Route maps:- [ dead link ] [ dead link ]" TEXT, "Station users 2006\\u201307" FLOAT, "Station users 2007\\u201308" FLOAT)
| How many people used Bloxwich North station in 2006-2007? | SELECT "Station users 2006\u201307" FROM table_1229 WHERE "Station" = 'Bloxwich North' | SELECT "Station users 2006\u201307" FROM "table_1229" WHERE "Station" = 'Bloxwich North' | 0.085938 |
CREATE TABLE table_204_179 (id DECIMAL, "season" DECIMAL, "division" DECIMAL, "tms." DECIMAL, "pos." DECIMAL, "fa cup" TEXT, "afc cl" DECIMAL)
| what year had the least amount of teams that competed ? | SELECT "season" FROM table_204_179 ORDER BY "tms." LIMIT 1 | SELECT "season" FROM "table_204_179" ORDER BY "tms." NULLS FIRST LIMIT 1 | 0.070313 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| among patients tested for ph level, how many of them were from catholic belief? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.religion = "CATHOLIC" AND lab.label = "pH" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "demographic"."hadm_id" = "lab"."hadm_id" AND "lab"."label" = "pH" WHERE "CATHOLIC" = "demographic"."religion" | 0.188477 |
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)
| what flights from ST. PAUL to KANSAS CITY on friday with supper served | 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, food_service WHERE ((date_day.day_number = 25 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 food_service.meal_code = flight.meal_code AND food_service.meal_description = 'DINNER') AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'KANSAS CITY' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'ST. PAUL' 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" = 25 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" = 'ST. PAUL' 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 "food_service" ON "flight"."meal_code" = "food_service"."meal_code" AND "food_service"."meal_description" = 'DINNER' JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'KANSAS CITY' | 0.829102 |
CREATE TABLE table_name_45 (record VARCHAR, game VARCHAR, date VARCHAR)
| What was the record of the game played on November 7? | SELECT record FROM table_name_45 WHERE game < 7 AND date = "november 7" | SELECT "record" FROM "table_name_45" WHERE "date" = "november 7" AND "game" < 7 | 0.077148 |
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
| For all employees who have the letters D or S in their first name, a bar chart shows the distribution of hire_date and the average of employee_id bin hire_date by time. | SELECT HIRE_DATE, AVG(EMPLOYEE_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' | SELECT "HIRE_DATE", AVG("EMPLOYEE_ID") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' | 0.109375 |
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 procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| give the number of patients who were admitted before the year 2170 and their drug name is atorvastatin. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admityear < "2170" AND prescriptions.drug = "Atorvastatin" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Atorvastatin" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "2170" > "demographic"."admityear" | 0.223633 |
CREATE TABLE movie (mid DECIMAL, title TEXT, year DECIMAL, director TEXT)
CREATE TABLE reviewer (rid DECIMAL, name TEXT)
CREATE TABLE rating (rid DECIMAL, mid DECIMAL, stars DECIMAL, ratingdate TIME)
| In what years did a movie receive a 4 or 5 star rating, and list the years from oldest to most recently? | SELECT DISTINCT year FROM movie AS T1 JOIN rating AS T2 ON T1.mid = T2.mid WHERE T2.stars >= 4 ORDER BY T1.year | SELECT DISTINCT "year" FROM "movie" AS "T1" JOIN "rating" AS "T2" ON "T1"."mid" = "T2"."mid" AND "T2"."stars" >= 4 ORDER BY "T1"."year" NULLS FIRST | 0.143555 |
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE 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 treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime 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)
| has there ever been any type of microbiology test done on patient 025-28600's abscess since 1 year ago? | SELECT COUNT(*) FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '025-28600')) AND microlab.culturesite = 'abscess' AND DATETIME(microlab.culturetakentime) >= DATETIME(CURRENT_TIME(), '-1 year') | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '025-28600' 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(*) FROM "microlab" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "microlab"."patientunitstayid" WHERE "microlab"."culturesite" = 'abscess' AND DATETIME("microlab"."culturetakentime") >= DATETIME(CURRENT_TIME(), '-1 year') AND NOT "_u_1"."" IS NULL | 0.599609 |
CREATE TABLE member (member_id DECIMAL, card_number TEXT, name TEXT, hometown TEXT, level DECIMAL)
CREATE TABLE branch (branch_id DECIMAL, name TEXT, open_year TEXT, address_road TEXT, city TEXT, membership_amount TEXT)
CREATE TABLE purchase (member_id DECIMAL, branch_id TEXT, year TEXT, total_pounds DECIMAL)
CREATE TABLE membership_register_branch (member_id DECIMAL, branch_id TEXT, register_year TEXT)
| What are the total purchases for members rated at level 6? | SELECT COUNT(*) FROM purchase AS T1 JOIN member AS T2 ON T1.member_id = T2.member_id WHERE T2.level = 6 | SELECT COUNT(*) FROM "purchase" AS "T1" JOIN "member" AS "T2" ON "T1"."member_id" = "T2"."member_id" AND "T2"."level" = 6 | 0.118164 |
CREATE TABLE table_name_79 (cuts_made VARCHAR, top_5 VARCHAR, events VARCHAR)
| What was the total number of Cuts made, when Top-5 was greater than 3, and when Events were 85? | SELECT COUNT(cuts_made) FROM table_name_79 WHERE top_5 > 3 AND events = 85 | SELECT COUNT("cuts_made") FROM "table_name_79" WHERE "events" = 85 AND "top_5" > 3 | 0.080078 |
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE 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 vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
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)
| what is first weight of patient 027-120551 since 90 months ago. | SELECT patient.admissionweight FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '027-120551') AND NOT patient.admissionweight IS NULL AND DATETIME(patient.unitadmittime) >= DATETIME(CURRENT_TIME(), '-90 month') ORDER BY patient.unitadmittime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '027-120551' GROUP BY "patienthealthsystemstayid") SELECT "patient"."admissionweight" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE DATETIME("patient"."unitadmittime") >= DATETIME(CURRENT_TIME(), '-90 month') AND NOT "_u_0"."" IS NULL AND NOT "patient"."admissionweight" IS NULL ORDER BY "patient"."unitadmittime" NULLS FIRST LIMIT 1 | 0.482422 |
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 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 program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text 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 program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_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 offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
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 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)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
| Which courses in Intro Engineering will allow me to satisfy the Core requirement ? | SELECT DISTINCT course.department, course.name, course.number FROM course INNER JOIN area ON course.course_id = area.course_id INNER JOIN program_course ON program_course.course_id = course.course_id WHERE (area.area LIKE '%Intro Engineering%' OR course.description LIKE '%Intro Engineering%' OR course.name LIKE '%Intro Engineering%') AND program_course.category LIKE '%Core%' | SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "area" ON ("area"."area" LIKE '%Intro Engineering%' OR "course"."description" LIKE '%Intro Engineering%' OR "course"."name" LIKE '%Intro Engineering%') AND "area"."course_id" = "course"."course_id" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%Core%' | 0.40332 |
CREATE TABLE table_47299 ("Tie no" TEXT, "Home team" TEXT, "Score" TEXT, "Away team" TEXT, "Date" TEXT)
| What is the away team for the home team wigan athletic? | SELECT "Away team" FROM table_47299 WHERE "Home team" = 'wigan athletic' | SELECT "Away team" FROM "table_47299" WHERE "Home team" = 'wigan athletic' | 0.072266 |
CREATE TABLE table_34611 ("Title" TEXT, "Season" TEXT, "Winner" TEXT, "Score" TEXT, "Runner-up" TEXT, "Venue" TEXT, "Attendance" TEXT)
| What was the title for the game with an attendance of n/a with the runner-up being Waseda, and a season of 1995-6 details? | SELECT "Title" FROM table_34611 WHERE "Attendance" = 'n/a' AND "Runner-up" = 'waseda' AND "Season" = '1995-6 details' | SELECT "Title" FROM "table_34611" WHERE "Attendance" = 'n/a' AND "Runner-up" = 'waseda' AND "Season" = '1995-6 details' | 0.116211 |
CREATE TABLE table_1939214_1 (regular_season VARCHAR, playoffs VARCHAR)
| In what season did the team get in the conference finals of the playoffs? | SELECT regular_season FROM table_1939214_1 WHERE playoffs = "Conference Finals" | SELECT "regular_season" FROM "table_1939214_1" WHERE "Conference Finals" = "playoffs" | 0.083008 |
CREATE TABLE table_19019 ("Rank" FLOAT, "Airport" TEXT, "Total Passengers" FLOAT, "% Change 2006/2007" TEXT, "International Passengers" FLOAT, "Domestic Passengers" FLOAT, "Transit Passengers" FLOAT, "Aircraft Movements" FLOAT, "Freight ( Metric Tonnes ) " FLOAT)
| Name the transit passengers for 171078 | SELECT MAX("Transit Passengers") FROM table_19019 WHERE "Freight (Metric Tonnes)" = '171078' | SELECT MAX("Transit Passengers") FROM "table_19019" WHERE "Freight (Metric Tonnes)" = '171078' | 0.091797 |
CREATE TABLE table_74647 ("Entrant" TEXT, "Constructor" TEXT, "Chassis" TEXT, "Engine" TEXT, "Driver" TEXT)
| What team uses a Cosworth DFV V8 engine and DN9 Chassis? | SELECT "Entrant" FROM table_74647 WHERE "Engine" = 'cosworth dfv v8' AND "Chassis" = 'dn9' | SELECT "Entrant" FROM "table_74647" WHERE "Chassis" = 'dn9' AND "Engine" = 'cosworth dfv v8' | 0.089844 |
CREATE TABLE film (film_id DECIMAL, title TEXT, studio TEXT, director TEXT, gross_in_dollar DECIMAL)
CREATE TABLE film_market_estimation (estimation_id DECIMAL, low_estimate DECIMAL, high_estimate DECIMAL, film_id DECIMAL, type TEXT, market_id DECIMAL, year DECIMAL)
CREATE TABLE market (market_id DECIMAL, country TEXT, number_cities DECIMAL)
| What is the name of teh studio that created the most films? | SELECT studio FROM film GROUP BY studio ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "studio" FROM "film" GROUP BY "studio" ORDER BY COUNT(*) DESC NULLS LAST LIMIT 1 | 0.084961 |
CREATE TABLE restaurant_type (restypeid DECIMAL, restypename TEXT, restypedescription TEXT)
CREATE TABLE type_of_restaurant (resid DECIMAL, restypeid DECIMAL)
CREATE TABLE restaurant (resid DECIMAL, resname TEXT, address TEXT, rating DECIMAL)
CREATE TABLE visits_restaurant (stuid DECIMAL, resid DECIMAL, time TIME, spent DECIMAL)
CREATE TABLE student (stuid DECIMAL, lname TEXT, fname TEXT, age DECIMAL, sex TEXT, major DECIMAL, advisor DECIMAL, city_code TEXT)
| Show me all the restaurants. | SELECT resname FROM restaurant | SELECT "resname" FROM "restaurant" | 0.033203 |
CREATE TABLE table_name_45 (bandwidth_included VARCHAR, price VARCHAR)
| What is Bandwidth Included, when Price is '50 EUR'? | SELECT bandwidth_included FROM table_name_45 WHERE price = "50 eur" | SELECT "bandwidth_included" FROM "table_name_45" WHERE "50 eur" = "price" | 0.071289 |
CREATE TABLE table_12907 ("Constituency number" TEXT, "Name" TEXT, "Reserved for ( SC / ST /None ) " TEXT, "District" TEXT, "Number of electorates ( 2009 ) " FLOAT)
| Where is constituency number 16? | SELECT "Name" FROM table_12907 WHERE "Constituency number" = '16' | SELECT "Name" FROM "table_12907" WHERE "Constituency number" = '16' | 0.06543 |
CREATE TABLE table_13026 ("Rank" FLOAT, "Map Reference Number" FLOAT, "Census Statistical Area" TEXT, "2007 Population" FLOAT, "Lake ( s ) " TEXT)
| What is the lowest rank with a smaller population in 2007 than 117,201 and whose map reference number is 22? | SELECT MIN("Rank") FROM table_13026 WHERE "2007 Population" > '117,201' AND "Map Reference Number" = '22' | SELECT MIN("Rank") FROM "table_13026" WHERE "2007 Population" > '117,201' AND "Map Reference Number" = '22' | 0.104492 |
CREATE TABLE player (pid DECIMAL, pname TEXT, ycard TEXT, hs DECIMAL)
CREATE TABLE tryout (pid DECIMAL, cname TEXT, ppos TEXT, decision TEXT)
CREATE TABLE college (cname TEXT, state TEXT, enr DECIMAL)
| How many hours do the players train on average? | SELECT AVG(hs) FROM player | SELECT AVG("hs") FROM "player" | 0.029297 |
CREATE TABLE table_34385 ("Rank" FLOAT, "Name" TEXT, "Nation" TEXT, "Points" FLOAT, "Places" FLOAT)
| What nation had 1399.3 points? | SELECT "Nation" FROM table_34385 WHERE "Points" = '1399.3' | SELECT "Nation" FROM "table_34385" WHERE "Points" = '1399.3' | 0.058594 |
CREATE TABLE SECTION (building VARCHAR, room_number VARCHAR, semester VARCHAR, year VARCHAR, course_id VARCHAR)
CREATE TABLE course (course_id VARCHAR, dept_name VARCHAR, title VARCHAR)
| Find the building, room number, semester and year of all courses offered by Psychology department sorted by course titles. | SELECT T2.building, T2.room_number, T2.semester, T2.year FROM course AS T1 JOIN SECTION AS T2 ON T1.course_id = T2.course_id WHERE T1.dept_name = 'Psychology' ORDER BY T1.title | SELECT "T2"."building", "T2"."room_number", "T2"."semester", "T2"."year" FROM "course" AS "T1" JOIN "SECTION" AS "T2" ON "T1"."course_id" = "T2"."course_id" WHERE "T1"."dept_name" = 'Psychology' ORDER BY "T1"."title" NULLS FIRST | 0.222656 |
CREATE TABLE Properties (property_id INT, property_type_code CHAR, property_address VARCHAR, other_details VARCHAR)
CREATE TABLE Customers (customer_id INT, customer_details VARCHAR)
CREATE TABLE Customer_Events (Customer_Event_ID INT, customer_id INT, date_moved_in DATETIME, property_id INT, resident_id INT, thing_id INT)
CREATE TABLE Residents (resident_id INT, property_id INT, date_moved_in DATETIME, date_moved_out DATETIME, other_details VARCHAR)
CREATE TABLE Things (thing_id INT, organization_id INT, Type_of_Thing_Code CHAR, service_type_code CHAR, service_details VARCHAR)
CREATE TABLE Residents_Services (resident_id INT, service_id INT, date_moved_in DATETIME, property_id INT, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR)
CREATE TABLE Services (service_id INT, organization_id INT, service_type_code CHAR, service_details VARCHAR)
CREATE TABLE Organizations (organization_id INT, parent_organization_id INT, organization_details VARCHAR)
CREATE TABLE Timed_Status_of_Things (thing_id INT, Date_and_Date DATETIME, Status_of_Thing_Code CHAR)
CREATE TABLE Timed_Locations_of_Things (thing_id INT, Date_and_Time DATETIME, Location_Code CHAR)
CREATE TABLE Customer_Event_Notes (Customer_Event_Note_ID INT, Customer_Event_ID INT, service_type_code CHAR, resident_id INT, property_id INT, date_moved_in DATETIME)
| Just give me a histogram that X is the details of the organization and the Y-axis is the number of things they own, and order in ascending by the bars. | SELECT organization_details, COUNT(organization_details) FROM Things AS T1 JOIN Organizations AS T2 ON T1.organization_id = T2.organization_id GROUP BY organization_details ORDER BY organization_details | SELECT "organization_details", COUNT("organization_details") FROM "Things" AS "T1" JOIN "Organizations" AS "T2" ON "T1"."organization_id" = "T2"."organization_id" GROUP BY "organization_details" ORDER BY "organization_details" NULLS FIRST | 0.232422 |
CREATE TABLE Customer_Addresses (customer_id INT, address_id INT, date_from DATETIME, date_to DATETIME)
CREATE TABLE Department_Stores (dept_store_id INT, dept_store_chain_id INT, store_name VARCHAR, store_address VARCHAR, store_phone VARCHAR, store_email VARCHAR)
CREATE TABLE Customers (customer_id INT, payment_method_code VARCHAR, customer_code VARCHAR, customer_name VARCHAR, customer_address VARCHAR, customer_phone VARCHAR, customer_email VARCHAR)
CREATE TABLE Products (product_id INT, product_type_code VARCHAR, product_name VARCHAR, product_price DECIMAL)
CREATE TABLE Suppliers (supplier_id INT, supplier_name VARCHAR, supplier_phone VARCHAR)
CREATE TABLE Customer_Orders (order_id INT, customer_id INT, order_status_code VARCHAR, order_date DATETIME)
CREATE TABLE Department_Store_Chain (dept_store_chain_id INT, dept_store_chain_name VARCHAR)
CREATE TABLE Staff_Department_Assignments (staff_id INT, department_id INT, date_assigned_from DATETIME, job_title_code VARCHAR, date_assigned_to DATETIME)
CREATE TABLE Addresses (address_id INT, address_details VARCHAR)
CREATE TABLE Departments (department_id INT, dept_store_id INT, department_name VARCHAR)
CREATE TABLE Product_Suppliers (product_id INT, supplier_id INT, date_supplied_from DATETIME, date_supplied_to DATETIME, total_amount_purchased VARCHAR, total_value_purchased DECIMAL)
CREATE TABLE Supplier_Addresses (supplier_id INT, address_id INT, date_from DATETIME, date_to DATETIME)
CREATE TABLE Order_Items (order_item_id INT, order_id INT, product_id INT)
CREATE TABLE Staff (staff_id INT, staff_gender VARCHAR, staff_name VARCHAR)
| What is the highest price of product, grouped by product type? Show a bar chart, and could you list by the x axis in descending? | SELECT product_type_code, MAX(product_price) FROM Products GROUP BY product_type_code ORDER BY product_type_code DESC | SELECT "product_type_code", MAX("product_price") FROM "Products" GROUP BY "product_type_code" ORDER BY "product_type_code" DESC NULLS LAST | 0.134766 |
CREATE TABLE table_71045 ("Category" TEXT, "Film" TEXT, "Director ( s ) " TEXT, "Country" TEXT, "Nominating Festival" TEXT)
| Name the category for prix uip berlin | SELECT "Category" FROM table_71045 WHERE "Nominating Festival" = 'prix uip berlin' | SELECT "Category" FROM "table_71045" WHERE "Nominating Festival" = 'prix uip berlin' | 0.082031 |
CREATE TABLE compartment_class (compartment VARCHAR, class_type 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 time_interval (period TEXT, begin_time INT, end_time INT)
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 city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_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 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 airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE 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 equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
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 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 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 flight_fare (flight_id INT, fare_id INT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
| what is the ground transportation available in BOSTON | SELECT DISTINCT ground_service.transport_type FROM city, ground_service WHERE city.city_name = 'BOSTON' AND ground_service.city_code = city.city_code | SELECT DISTINCT "ground_service"."transport_type" FROM "city" JOIN "ground_service" ON "city"."city_code" = "ground_service"."city_code" WHERE "city"."city_name" = 'BOSTON' | 0.167969 |
CREATE TABLE bookings_services (order_id DECIMAL, product_id DECIMAL)
CREATE TABLE stores (store_id TEXT, address_id DECIMAL, marketing_region_code TEXT, store_name TEXT, store_phone TEXT, store_email_address TEXT, other_details TEXT)
CREATE TABLE invoice_items (invoice_item_id DECIMAL, invoice_id DECIMAL, order_id DECIMAL, order_item_id DECIMAL, product_id DECIMAL, order_quantity DECIMAL, other_item_details TEXT)
CREATE TABLE marketing_regions (marketing_region_code TEXT, marketing_region_name TEXT, marketing_region_descriptrion TEXT, other_details TEXT)
CREATE TABLE clients (client_id DECIMAL, address_id DECIMAL, customer_email_address TEXT, customer_name TEXT, customer_phone TEXT, other_details TEXT)
CREATE TABLE products (product_id TEXT, product_name TEXT, product_price DECIMAL, product_description TEXT, other_product_service_details TEXT)
CREATE TABLE order_items (order_item_id DECIMAL, order_id DECIMAL, product_id DECIMAL, order_quantity TEXT, other_item_details TEXT)
CREATE TABLE ref_payment_methods (payment_method_code TEXT, payment_method_description TEXT)
CREATE TABLE invoices (invoice_id DECIMAL, order_id DECIMAL, payment_method_code TEXT, product_id DECIMAL, order_quantity TEXT, other_item_details TEXT, order_item_id DECIMAL)
CREATE TABLE performers (performer_id DECIMAL, address_id DECIMAL, customer_name TEXT, customer_phone TEXT, customer_email_address TEXT, other_details TEXT)
CREATE TABLE drama_workshop_groups (workshop_group_id DECIMAL, address_id DECIMAL, currency_code TEXT, marketing_region_code TEXT, store_name TEXT, store_phone TEXT, store_email_address TEXT, other_details TEXT)
CREATE TABLE bookings (booking_id DECIMAL, customer_id DECIMAL, workshop_group_id TEXT, status_code TEXT, store_id DECIMAL, order_date TIME, planned_delivery_date TIME, actual_delivery_date TIME, other_order_details TEXT)
CREATE TABLE ref_service_types (service_type_code TEXT, parent_service_type_code TEXT, service_type_description TEXT)
CREATE TABLE addresses (address_id TEXT, line_1 TEXT, line_2 TEXT, city_town TEXT, state_county TEXT, other_details TEXT)
CREATE TABLE performers_in_bookings (order_id DECIMAL, performer_id DECIMAL)
CREATE TABLE services (service_id DECIMAL, service_type_code TEXT, workshop_group_id DECIMAL, product_description TEXT, product_name TEXT, product_price DECIMAL, other_product_service_details TEXT)
CREATE TABLE customer_orders (order_id DECIMAL, customer_id DECIMAL, store_id DECIMAL, order_date TIME, planned_delivery_date TIME, actual_delivery_date TIME, other_order_details TEXT)
CREATE TABLE customers (customer_id TEXT, address_id DECIMAL, customer_name TEXT, customer_phone TEXT, customer_email_address TEXT, other_details TEXT)
| What are the names of the clients who do not have any booking? | SELECT customer_name FROM clients EXCEPT SELECT T2.customer_name FROM bookings AS T1 JOIN clients AS T2 ON T1.customer_id = T2.client_id | SELECT "customer_name" FROM "clients" EXCEPT SELECT "T2"."customer_name" FROM "bookings" AS "T1" JOIN "clients" AS "T2" ON "T1"."customer_id" = "T2"."client_id" | 0.15625 |
CREATE TABLE table_name_44 (home_team VARCHAR, away_team VARCHAR)
| Which home team played Hawthorn as the away team? | SELECT home_team FROM table_name_44 WHERE away_team = "hawthorn" | SELECT "home_team" FROM "table_name_44" WHERE "away_team" = "hawthorn" | 0.068359 |
CREATE TABLE table_name_90 (richmond_ VARCHAR, staten_is VARCHAR, the_bronx VARCHAR)
| How many voters were in Manhattan when 181,639 people voted in the Bronx? | SELECT richmond_ AS "staten_is" FROM table_name_90 WHERE the_bronx = "181,639" | SELECT "richmond_" AS "staten_is" FROM "table_name_90" WHERE "181,639" = "the_bronx" | 0.082031 |
CREATE TABLE table_name_46 (time_retired VARCHAR, driver VARCHAR)
| What was John Watson's time/retired? | SELECT time_retired FROM table_name_46 WHERE driver = "john watson" | SELECT "time_retired" FROM "table_name_46" WHERE "driver" = "john watson" | 0.071289 |
CREATE TABLE table_203_396 (id DECIMAL, "year" DECIMAL, "domestic passengers" DECIMAL, "international passengers" DECIMAL, "total passengers" DECIMAL, "change" TEXT)
| how many years showed a positive increase ? | SELECT COUNT("year") FROM table_203_396 WHERE "change" > 0 | SELECT COUNT("year") FROM "table_203_396" WHERE "change" > 0 | 0.058594 |
CREATE TABLE table_name_10 (date VARCHAR, away_team VARCHAR)
| What is the date they played against fitzroy? | SELECT date FROM table_name_10 WHERE away_team = "fitzroy" | SELECT "date" FROM "table_name_10" WHERE "away_team" = "fitzroy" | 0.0625 |
CREATE TABLE player (player_id DECIMAL, name TEXT, position TEXT, club_id DECIMAL, apps DECIMAL, tries DECIMAL, goals TEXT, points DECIMAL)
CREATE TABLE club_rank (rank DECIMAL, club_id DECIMAL, gold DECIMAL, silver DECIMAL, bronze DECIMAL, total DECIMAL)
CREATE TABLE club (club_id DECIMAL, name TEXT, region TEXT, start_year TEXT)
CREATE TABLE competition_result (competition_id DECIMAL, club_id_1 DECIMAL, club_id_2 DECIMAL, score TEXT)
CREATE TABLE competition (competition_id DECIMAL, year DECIMAL, competition_type TEXT, country TEXT)
| What is the average number of gold medals for a club? | SELECT AVG(gold) FROM club_rank | SELECT AVG("gold") FROM "club_rank" | 0.03418 |
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 labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE diagnoses_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 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 cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE 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)
| what is the three year survival rate for a patient with severe sepsis? | SELECT SUM(CASE WHEN patients.dod IS NULL THEN 1 WHEN STRFTIME('%j', patients.dod) - STRFTIME('%j', t2.charttime) > 3 * 365 THEN 1 ELSE 0 END) * 100 / COUNT(*) FROM (SELECT t1.subject_id, t1.charttime FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'severe sepsis') GROUP BY admissions.subject_id HAVING MIN(diagnoses_icd.charttime) = diagnoses_icd.charttime) AS t1 WHERE STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', t1.charttime) > 3 * 365) AS t2 JOIN patients ON t2.subject_id = patients.subject_id | WITH "t1" AS (SELECT "admissions"."subject_id", "diagnoses_icd"."charttime" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'severe sepsis' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" GROUP BY "admissions"."subject_id" HAVING "diagnoses_icd"."charttime" = MIN("diagnoses_icd"."charttime")) SELECT SUM(CASE WHEN "patients"."dod" IS NULL THEN 1 WHEN STRFTIME('%j', "patients"."dod") - STRFTIME('%j', "t1"."charttime") > 1095 THEN 1 ELSE 0 END) * 100 / NULLIF(COUNT(*), 0) FROM "t1" AS "t1" JOIN "patients" ON "patients"."subject_id" = "t1"."subject_id" WHERE STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "t1"."charttime") > 1095 | 0.736328 |
CREATE TABLE member (member_id DECIMAL, member_name TEXT, party_id TEXT, in_office TEXT)
CREATE TABLE party_events (event_id DECIMAL, event_name TEXT, party_id DECIMAL, member_in_charge_id DECIMAL)
CREATE TABLE party (party_id DECIMAL, minister TEXT, took_office TEXT, left_office TEXT, region_id DECIMAL, party_name TEXT)
CREATE TABLE region (region_id DECIMAL, region_name TEXT, date TEXT, label TEXT, format TEXT, catalogue TEXT)
| Show all member names who are not in charge of any event. | SELECT member_name FROM member EXCEPT SELECT T1.member_name FROM member AS T1 JOIN party_events AS T2 ON T1.member_id = T2.member_in_charge_id | SELECT "member_name" FROM "member" EXCEPT SELECT "T1"."member_name" FROM "member" AS "T1" JOIN "party_events" AS "T2" ON "T1"."member_id" = "T2"."member_in_charge_id" | 0.162109 |
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 airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
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 time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_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 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 aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE 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 date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
| list flights from PHILADELPHIA to DALLAS that stop in ATLANTA | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, airport_service AS AIRPORT_SERVICE_2, city AS CITY_0, city AS CITY_1, city AS CITY_2, flight, flight_stop WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DALLAS' AND CITY_2.city_code = AIRPORT_SERVICE_2.city_code AND CITY_2.city_name = 'ATLANTA' AND flight_stop.stop_airport = AIRPORT_SERVICE_2.airport_code AND flight.flight_id = flight_stop.flight_id AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PHILADELPHIA' 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" = 'PHILADELPHIA' 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 "flight_stop" ON "flight"."flight_id" = "flight_stop"."flight_id" JOIN "airport_service" AS "AIRPORT_SERVICE_2" ON "AIRPORT_SERVICE_2"."airport_code" = "flight_stop"."stop_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'DALLAS' JOIN "city" AS "CITY_2" ON "AIRPORT_SERVICE_2"."city_code" = "CITY_2"."city_code" AND "CITY_2"."city_name" = 'ATLANTA' | 0.795898 |
CREATE TABLE table_14726 ("Date" TEXT, "Home captain" TEXT, "Away captain" TEXT, "Venue" TEXT, "Result" TEXT)
| Who was the Away Captain at The Oval? | SELECT "Away captain" FROM table_14726 WHERE "Venue" = 'the oval' | SELECT "Away captain" FROM "table_14726" WHERE "Venue" = 'the oval' | 0.06543 |
CREATE TABLE table_46145 ("Date" TEXT, "Round" TEXT, "Opponent" TEXT, "Venue" TEXT, "Result" TEXT, "Attendance" FLOAT)
| Which Date has a Result of 2 2, and a Venue of H? | SELECT "Date" FROM table_46145 WHERE "Result" = '2–2' AND "Venue" = 'h' | SELECT "Date" FROM "table_46145" WHERE "Result" = '2–2' AND "Venue" = 'h' | 0.071289 |
CREATE TABLE table_name_85 (tournament VARCHAR, partner VARCHAR, outcome VARCHAR, score VARCHAR)
| Which Tournament has a winner Outcome with a Score of 6 3, 7 5 with Kimberly Po-Messerli as a Partner? | SELECT tournament FROM table_name_85 WHERE outcome = "winner" AND score = "6–3, 7–5" AND partner = "kimberly po-messerli" | SELECT "tournament" FROM "table_name_85" WHERE "6–3, 7–5" = "score" AND "kimberly po-messerli" = "partner" AND "outcome" = "winner" | 0.12793 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| how many patients had coronary arteriogram nec on urgent admission? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "URGENT" AND procedures.short_title = "Coronary arteriogram NEC" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Coronary arteriogram NEC" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "URGENT" = "demographic"."admission_type" | 0.240234 |
CREATE TABLE table_name_67 (organized VARCHAR, occupation VARCHAR)
| What is the organized date of the stake with an occupation of senior buyer for Wal-mart? | SELECT organized FROM table_name_67 WHERE occupation = "senior buyer for wal-mart" | SELECT "organized" FROM "table_name_67" WHERE "occupation" = "senior buyer for wal-mart" | 0.085938 |
CREATE TABLE table_name_30 (away_team VARCHAR, home_team VARCHAR)
| What is Away Team, when Home Team is 'Boston United'? | SELECT away_team FROM table_name_30 WHERE home_team = "boston united" | SELECT "away_team" FROM "table_name_30" WHERE "boston united" = "home_team" | 0.073242 |
CREATE TABLE table_name_50 (result VARCHAR, week VARCHAR)
| What was the Result on Week 8? | SELECT result FROM table_name_50 WHERE week = 8 | SELECT "result" FROM "table_name_50" WHERE "week" = 8 | 0.051758 |
CREATE TABLE table_73230 ("Sporting profession" TEXT, "First place ( s ) " FLOAT, "Second place ( s ) " FLOAT, "Third place ( s ) " FLOAT, "Total placing ( s ) " FLOAT)
| How many second place showings does snooker have? | SELECT "Second place(s)" FROM table_73230 WHERE "Sporting profession" = 'Snooker' | SELECT "Second place(s)" FROM "table_73230" WHERE "Sporting profession" = 'Snooker' | 0.081055 |
CREATE TABLE EMPLOYEE (EMP_NUM INT, EMP_LNAME VARCHAR, EMP_FNAME VARCHAR, EMP_INITIAL VARCHAR, EMP_JOBCODE VARCHAR, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
CREATE TABLE STUDENT (STU_NUM INT, STU_LNAME VARCHAR, STU_FNAME VARCHAR, STU_INIT VARCHAR, STU_DOB DATETIME, STU_HRS INT, STU_CLASS VARCHAR, STU_GPA FLOAT, STU_TRANSFER DECIMAL, DEPT_CODE VARCHAR, STU_PHONE VARCHAR, PROF_NUM INT)
CREATE TABLE CLASS (CLASS_CODE VARCHAR, CRS_CODE VARCHAR, CLASS_SECTION VARCHAR, CLASS_TIME VARCHAR, CLASS_ROOM VARCHAR, PROF_NUM INT)
CREATE TABLE ENROLL (CLASS_CODE VARCHAR, STU_NUM INT, ENROLL_GRADE VARCHAR)
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR, DEPT_NAME VARCHAR, SCHOOL_CODE VARCHAR, EMP_NUM INT, DEPT_ADDRESS VARCHAR, DEPT_EXTENSION VARCHAR)
CREATE TABLE COURSE (CRS_CODE VARCHAR, DEPT_CODE VARCHAR, CRS_DESCRIPTION VARCHAR, CRS_CREDIT FLOAT)
CREATE TABLE PROFESSOR (EMP_NUM INT, DEPT_CODE VARCHAR, PROF_OFFICE VARCHAR, PROF_EXTENSION VARCHAR, PROF_HIGH_DEGREE VARCHAR)
| Show the number of courses for each office in a bar chart, and could you list by the y axis from low to high? | SELECT PROF_OFFICE, COUNT(PROF_OFFICE) FROM CLASS AS T1 JOIN EMPLOYEE AS T2 ON T1.PROF_NUM = T2.EMP_NUM JOIN COURSE AS T3 ON T1.CRS_CODE = T3.CRS_CODE JOIN PROFESSOR AS T4 ON T2.EMP_NUM = T4.EMP_NUM GROUP BY PROF_OFFICE ORDER BY COUNT(PROF_OFFICE) | SELECT "PROF_OFFICE", COUNT("PROF_OFFICE") FROM "CLASS" AS "T1" JOIN "EMPLOYEE" AS "T2" ON "T1"."PROF_NUM" = "T2"."EMP_NUM" JOIN "COURSE" AS "T3" ON "T1"."CRS_CODE" = "T3"."CRS_CODE" JOIN "PROFESSOR" AS "T4" ON "T2"."EMP_NUM" = "T4"."EMP_NUM" GROUP BY "PROF_OFFICE" ORDER BY COUNT("PROF_OFFICE") NULLS FIRST | 0.299805 |
CREATE TABLE table_36697 ("Game" TEXT, "Date" TEXT, "Home Team" TEXT, "Result" TEXT, "Road Team" TEXT, "TV Time" TEXT)
| What was the TV time for the road game against Phoenix where the score was 98-99? | SELECT "TV Time" FROM table_36697 WHERE "Home Team" = 'phoenix' AND "Result" = '98-99' | SELECT "TV Time" FROM "table_36697" WHERE "Home Team" = 'phoenix' AND "Result" = '98-99' | 0.085938 |
CREATE TABLE table_28498999_4 (after INT, player VARCHAR)
| What is the after for geoff ogilvy? | SELECT MAX(after) FROM table_28498999_4 WHERE player = "Geoff Ogilvy" | SELECT MAX("after") FROM "table_28498999_4" WHERE "Geoff Ogilvy" = "player" | 0.073242 |
CREATE TABLE table_40746 ("Television service" TEXT, "Country" TEXT, "Language" TEXT, "Content" TEXT, "HDTV" TEXT, "Package/Option" TEXT)
| Which television service has italian for its language? | SELECT "Television service" FROM table_40746 WHERE "Language" = 'italian' | SELECT "Television service" FROM "table_40746" WHERE "Language" = 'italian' | 0.073242 |
CREATE TABLE regions (region_id DECIMAL, region_name TEXT)
CREATE TABLE countries (country_id TEXT, country_name TEXT, region_id DECIMAL)
CREATE TABLE job_history (employee_id DECIMAL, start_date TIME, end_date TIME, job_id TEXT, department_id DECIMAL)
CREATE TABLE departments (department_id DECIMAL, department_name TEXT, manager_id DECIMAL, location_id DECIMAL)
CREATE TABLE employees (employee_id DECIMAL, first_name TEXT, last_name TEXT, email TEXT, phone_number TEXT, hire_date TIME, job_id TEXT, salary DECIMAL, commission_pct DECIMAL, manager_id DECIMAL, department_id DECIMAL)
CREATE TABLE locations (location_id DECIMAL, street_address TEXT, postal_code TEXT, city TEXT, state_province TEXT, country_id TEXT)
CREATE TABLE jobs (job_id TEXT, job_title TEXT, min_salary DECIMAL, max_salary DECIMAL)
| What are the full names and department ids for the lowest paid employees across all departments. | SELECT first_name, last_name, department_id FROM employees WHERE salary IN (SELECT MIN(salary) FROM employees GROUP BY department_id) | SELECT "first_name", "last_name", "department_id" FROM "employees" WHERE "salary" IN (SELECT MIN("salary") FROM "employees" GROUP BY "department_id") | 0.145508 |
CREATE TABLE table_55169 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| On what date did the home team score 9.14 (68)? | SELECT "Date" FROM table_55169 WHERE "Home team score" = '9.14 (68)' | SELECT "Date" FROM "table_55169" WHERE "Home team score" = '9.14 (68)' | 0.068359 |
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