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CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
| what's the output of patient 030-42006 for the first time on this month/27? | SELECT intakeoutput.celllabel FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '030-42006')) AND intakeoutput.cellpath LIKE '%output%' AND DATETIME(intakeoutput.intakeoutputtime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND STRFTIME('%d', intakeoutput.intakeoutputtime) = '27' ORDER BY intakeoutput.intakeoutputtime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '030-42006' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "intakeoutput"."celllabel" FROM "intakeoutput" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."cellpath" LIKE '%output%' AND DATETIME("intakeoutput"."intakeoutputtime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND NOT "_u_1"."" IS NULL AND STRFTIME('%d', "intakeoutput"."intakeoutputtime") = '27' ORDER BY "intakeoutput"."intakeoutputtime" NULLS FIRST LIMIT 1 | 0.790039 |
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
| Find the number of different products that are produced by companies at different headquarter cities Plot them as bar chart, and order bar in desc order please. | SELECT Headquarter, COUNT(DISTINCT T1.Name) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code ORDER BY Headquarter DESC | SELECT "Headquarter", COUNT(DISTINCT "T1"."Name") FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" ORDER BY "Headquarter" DESC NULLS LAST | 0.173828 |
CREATE TABLE table_61181 ("Nat." TEXT, "Name" TEXT, "Moving from" TEXT, "Type" TEXT, "Transfer window" TEXT, "Ends" FLOAT, "Transfer fee" TEXT, "Source" TEXT)
| Where did the player with a transfer type, a summer transfer window, and ended before 2013 move from? | SELECT "Moving from" FROM table_61181 WHERE "Type" = 'transfer' AND "Transfer window" = 'summer' AND "Ends" < '2013' | SELECT "Moving from" FROM "table_61181" WHERE "Ends" < '2013' AND "Transfer window" = 'summer' AND "Type" = 'transfer' | 0.115234 |
CREATE TABLE table_21995420_6 (school VARCHAR, stunts VARCHAR)
| What is every school with stunts of 48? | SELECT school FROM table_21995420_6 WHERE stunts = "48" | SELECT "school" FROM "table_21995420_6" WHERE "48" = "stunts" | 0.05957 |
CREATE TABLE table_25304 ("Country" TEXT, "Type of Protection" TEXT, "Maximum Term" TEXT, "PCT route available" TEXT, "Conversion from Patent Application" TEXT)
| In Tonga, what is the conversion from patent application? | SELECT "Conversion from Patent Application" FROM table_25304 WHERE "Country" = 'Tonga' | SELECT "Conversion from Patent Application" FROM "table_25304" WHERE "Country" = 'Tonga' | 0.085938 |
CREATE TABLE table_64044 ("Title" TEXT, "Author" TEXT, "First Issue" TEXT, "Last Issue" TEXT, "Completed?" TEXT)
| What is the last issue entry for Aron's Absurd Armada? | SELECT "Last Issue" FROM table_64044 WHERE "Title" = 'aron''s absurd armada' | SELECT "Last Issue" FROM "table_64044" WHERE "Title" = 'aron\'s absurd armada' | 0.076172 |
CREATE TABLE Apartment_Buildings (building_full_name VARCHAR)
| What are the building full names that contain the word 'court'? | SELECT building_full_name FROM Apartment_Buildings WHERE building_full_name LIKE "%court%" | SELECT "building_full_name" FROM "Apartment_Buildings" WHERE "building_full_name" LIKE "%court%" | 0.09375 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE 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)
| let me know the gender of religious background of patient with patient id 71798. | SELECT demographic.gender, demographic.religion FROM demographic WHERE demographic.subject_id = "71798" | SELECT "demographic"."gender", "demographic"."religion" FROM "demographic" WHERE "71798" = "demographic"."subject_id" | 0.114258 |
CREATE TABLE table_23285805_6 (high_rebounds VARCHAR, record VARCHAR)
| Who had the most rebounds when the team record was 15-27? | SELECT high_rebounds FROM table_23285805_6 WHERE record = "15-27" | SELECT "high_rebounds" FROM "table_23285805_6" WHERE "15-27" = "record" | 0.069336 |
CREATE TABLE table_21337 ("Department" TEXT, "Projects" FLOAT, "Municipalities" FLOAT, "Farmers" FLOAT, "Irrigated Ha" FLOAT, "BID/PRONAR Investment ( US$ ) " TEXT, "Local Investment ( US$ ) " TEXT, "Total" TEXT)
| What was the department that got $626,798 in local investments? | SELECT "Department" FROM table_21337 WHERE "Local Investment (US$)" = '626,798' | SELECT "Department" FROM "table_21337" WHERE "Local Investment (US$)" = '626,798' | 0.079102 |
CREATE TABLE table_11514 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| In the game where the home team was St Kilda, what was the attendance? | SELECT "Crowd" FROM table_11514 WHERE "Home team" = 'st kilda' | SELECT "Crowd" FROM "table_11514" WHERE "Home team" = 'st kilda' | 0.0625 |
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)
CREATE TABLE university (School_ID INT, School TEXT, Location TEXT, Founded FLOAT, Affiliation TEXT, Enrollment FLOAT, Nickname TEXT, Primary_conference TEXT)
| Visualize a bar chart about the distribution of All_Games and All_Games_Percent , show by the x axis in ascending. | SELECT All_Games, All_Games_Percent FROM basketball_match ORDER BY All_Games | SELECT "All_Games", "All_Games_Percent" FROM "basketball_match" ORDER BY "All_Games" NULLS FIRST | 0.09375 |
CREATE TABLE table_17360840_4 (attendance INT, record VARCHAR)
| What is the minimum attendance on games of record 0-2-1 | SELECT MIN(attendance) FROM table_17360840_4 WHERE record = "0-2-1" | SELECT MIN("attendance") FROM "table_17360840_4" WHERE "0-2-1" = "record" | 0.071289 |
CREATE TABLE table_40521 ("Year" TEXT, "Team" TEXT, "GP/GS" TEXT, "Goals" TEXT, "Assists" TEXT, "Total Points" TEXT)
| What is the total points for GP/GS of 24/23? | SELECT "Total Points" FROM table_40521 WHERE "GP/GS" = '24/23' | SELECT "Total Points" FROM "table_40521" WHERE "GP/GS" = '24/23' | 0.0625 |
CREATE TABLE table_name_73 (score VARCHAR, competition VARCHAR)
| Name the score for 2015 afc asian cup qualification | SELECT score FROM table_name_73 WHERE competition = "2015 afc asian cup qualification" | SELECT "score" FROM "table_name_73" WHERE "2015 afc asian cup qualification" = "competition" | 0.089844 |
CREATE TABLE table_name_86 (network VARCHAR, title VARCHAR)
| What is the Network, when Title is 'Epik High's Love And Delusion'? | SELECT network FROM table_name_86 WHERE title = "epik high's love and delusion" | SELECT "network" FROM "table_name_86" WHERE "epik high's love and delusion" = "title" | 0.083008 |
CREATE TABLE table_name_22 (launch_date VARCHAR, designation VARCHAR)
| When did the atv-002 launch? | SELECT launch_date FROM table_name_22 WHERE designation = "atv-002" | SELECT "launch_date" FROM "table_name_22" WHERE "atv-002" = "designation" | 0.071289 |
CREATE TABLE table_name_28 (sub_millisecond_cycle VARCHAR)
| What is the millisecond cycle for the Fieldbus? | SELECT sub_millisecond_cycle FROM table_name_28 WHERE "fieldbus" = "fieldbus" | SELECT "sub_millisecond_cycle" FROM "table_name_28" WHERE "fieldbus" = "fieldbus" | 0.079102 |
CREATE TABLE table_79240 ("Position" FLOAT, "Gymnast" TEXT, "A Score" FLOAT, "B Score" FLOAT, "Total" FLOAT)
| What the B Score when the total is 16.125 and the position is less than 7? | SELECT SUM("B Score") FROM table_79240 WHERE "Position" < '7' AND "Total" = '16.125' | SELECT SUM("B Score") FROM "table_79240" WHERE "Position" < '7' AND "Total" = '16.125' | 0.083984 |
CREATE TABLE table_15373 ("Place" FLOAT, "Team" TEXT, "Played" FLOAT, "Draw" FLOAT, "Lost" FLOAT, "Goals Scored" FLOAT, "Goals Conceded" FLOAT, "Points" FLOAT)
| How many goals were scored when they had over 28 points and played over 18 games? | SELECT MAX("Goals Scored") FROM table_15373 WHERE "Points" > '28' AND "Played" > '18' | SELECT MAX("Goals Scored") FROM "table_15373" WHERE "Played" > '18' AND "Points" > '28' | 0.084961 |
CREATE TABLE table_21321804_5 (pick__number INT, college VARCHAR)
| What is the smallest pick number for McGill? | SELECT MIN(pick__number) FROM table_21321804_5 WHERE college = "McGill" | SELECT MIN("pick__number") FROM "table_21321804_5" WHERE "McGill" = "college" | 0.075195 |
CREATE TABLE table_44796 ("Date" TEXT, "Venue" TEXT, "Opponents" TEXT, "Score" TEXT, "Comp" TEXT, "Attendance" TEXT)
| Which Venue is on 2004-07-24? | SELECT "Venue" FROM table_44796 WHERE "Date" = '2004-07-24' | SELECT "Venue" FROM "table_44796" WHERE "Date" = '2004-07-24' | 0.05957 |
CREATE TABLE table_54602 ("Year" FLOAT, "Date" TEXT, "Type" TEXT, "President" TEXT, "Location" TEXT)
| What is the President with a Year larger than 2011, and a Date with 23 may? | SELECT "President" FROM table_54602 WHERE "Year" > '2011' AND "Date" = '23 may' | SELECT "President" FROM "table_54602" WHERE "Date" = '23 may' AND "Year" > '2011' | 0.079102 |
CREATE TABLE takes (id TEXT, course_id TEXT, sec_id TEXT, semester TEXT, year DECIMAL, grade TEXT)
CREATE TABLE student (id TEXT, name TEXT, dept_name TEXT, tot_cred DECIMAL)
CREATE TABLE prereq (course_id TEXT, prereq_id TEXT)
CREATE TABLE classroom (building TEXT, room_number TEXT, capacity DECIMAL)
CREATE TABLE course (course_id TEXT, title TEXT, dept_name TEXT, credits DECIMAL)
CREATE TABLE department (dept_name TEXT, building TEXT, budget DECIMAL)
CREATE TABLE section (course_id TEXT, sec_id TEXT, semester TEXT, year DECIMAL, building TEXT, room_number TEXT, time_slot_id TEXT)
CREATE TABLE instructor (id TEXT, name TEXT, dept_name TEXT, salary DECIMAL)
CREATE TABLE time_slot (time_slot_id TEXT, day TEXT, start_hr DECIMAL, start_min DECIMAL, end_hr DECIMAL, end_min DECIMAL)
CREATE TABLE teaches (id TEXT, course_id TEXT, sec_id TEXT, semester TEXT, year DECIMAL)
CREATE TABLE advisor (s_id TEXT, i_id TEXT)
| What are the ids of instructors who didnt' teach? | SELECT id FROM instructor EXCEPT SELECT id FROM teaches | SELECT "id" FROM "instructor" EXCEPT SELECT "id" FROM "teaches" | 0.061523 |
CREATE TABLE table_66531 ("Year" FLOAT, "Champion" TEXT, "Grand Finalist" TEXT, "Champion Team Members" TEXT, "Grand Finalists" TEXT)
| what is the year when the champion team members are mikee de vega, jari monteagudo, crissy aquino? | SELECT "Year" FROM table_66531 WHERE "Champion Team Members" = 'mikee de vega, jari monteagudo, crissy aquino' | SELECT "Year" FROM "table_66531" WHERE "Champion Team Members" = 'mikee de vega, jari monteagudo, crissy aquino' | 0.109375 |
CREATE TABLE table_58839 ("Season" TEXT, "Club" TEXT, "Country" TEXT, "Apps." TEXT, "Goals" TEXT)
| What season had a goal of 1? | SELECT "Season" FROM table_58839 WHERE "Goals" = '1' | SELECT "Season" FROM "table_58839" WHERE "Goals" = '1' | 0.052734 |
CREATE TABLE table_74027 ("Pick #" FLOAT, "Player" TEXT, "Position" TEXT, "Nationality" TEXT, "NHL team" TEXT, "College/junior/club team" TEXT)
| What is the nhl team when the college, junior, club team is toronto marlboros (ohl) and the position is centre? | SELECT "NHL team" FROM table_74027 WHERE "College/junior/club team" = 'Toronto Marlboros (OHL)' AND "Position" = 'Centre' | SELECT "NHL team" FROM "table_74027" WHERE "College/junior/club team" = 'Toronto Marlboros (OHL)' AND "Position" = 'Centre' | 0.120117 |
CREATE TABLE month (month_number INT, month_name 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 airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE 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 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 flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_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 flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
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 class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time 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 dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
| give me the flights from PITTSBURGH to LOS ANGELES thursday evening | 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 = 'LOS ANGELES' AND date_day.day_number = 24 AND date_day.month_number = 5 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PITTSBURGH' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.departure_time BETWEEN 1800 AND 2200 | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 24 AND "date_day"."month_number" = 5 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" = 'PITTSBURGH' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" AND "flight"."departure_time" <= 2200 AND "flight"."departure_time" >= 1800 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" = 'LOS ANGELES' | 0.786133 |
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 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 prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| what is minimum age of patients whose discharge location is home and primary disease is posterior communicating aneurysm/sda? | SELECT MIN(demographic.age) FROM demographic WHERE demographic.discharge_location = "HOME" AND demographic.diagnosis = "POSTERIOR COMMUNICATING ANEURYSM/SDA" | SELECT MIN("demographic"."age") FROM "demographic" WHERE "HOME" = "demographic"."discharge_location" AND "POSTERIOR COMMUNICATING ANEURYSM/SDA" = "demographic"."diagnosis" | 0.166992 |
CREATE TABLE table_name_35 (week_1 VARCHAR, week_2 VARCHAR)
| Who was the week 1 nomination when the week 2 nomination was Piia Jarkko? | SELECT week_1 FROM table_name_35 WHERE week_2 = "piia jarkko" | SELECT "week_1" FROM "table_name_35" WHERE "piia jarkko" = "week_2" | 0.06543 |
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE area (course_id INT, area 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 jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college 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_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req 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 semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction 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 offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
| Do you have any other suggestions for easier theory classes than ES 395 ? | SELECT DISTINCT course.department, course.name, course.number, program_course.workload 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 '%theory%' AND program_course.workload < (SELECT MIN(PROGRAM_COURSEalias1.workload) FROM course AS COURSEalias1 INNER JOIN program_course AS PROGRAM_COURSEalias1 ON PROGRAM_COURSEalias1.course_id = COURSEalias1.course_id WHERE COURSEalias1.department = 'ES' AND COURSEalias1.number = 395) ORDER BY program_course.workload | WITH "_u_0" AS (SELECT MIN("PROGRAM_COURSEalias1"."workload") FROM "course" AS "COURSEalias1" JOIN "program_course" AS "PROGRAM_COURSEalias1" ON "COURSEalias1"."course_id" = "PROGRAM_COURSEalias1"."course_id" WHERE "COURSEalias1"."department" = 'ES' AND "COURSEalias1"."number" = 395) SELECT DISTINCT "course"."department", "course"."name", "course"."number", "program_course"."workload" FROM "course" JOIN "area" ON "area"."area" LIKE '%theory%' AND "area"."course_id" = "course"."course_id" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" JOIN "_u_0" AS "_u_0" ON "_u_0"."" > "program_course"."workload" ORDER BY "program_course"."workload" NULLS FIRST | 0.666992 |
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
| List department id and their salaries with a scatter plot. | SELECT T1.SALARY, T1.DEPARTMENT_ID FROM employees AS T1 JOIN departments AS T2 ON T1.DEPARTMENT_ID = T2.DEPARTMENT_ID WHERE T1.EMPLOYEE_ID = T2.MANAGER_ID | SELECT "T1"."SALARY", "T1"."DEPARTMENT_ID" FROM "employees" AS "T1" JOIN "departments" AS "T2" ON "T1"."DEPARTMENT_ID" = "T2"."DEPARTMENT_ID" AND "T1"."EMPLOYEE_ID" = "T2"."MANAGER_ID" | 0.179688 |
CREATE TABLE table_name_80 (score VARCHAR, player VARCHAR)
| What was Craig Stadler's score? | SELECT score FROM table_name_80 WHERE player = "craig stadler" | SELECT "score" FROM "table_name_80" WHERE "craig stadler" = "player" | 0.066406 |
CREATE TABLE table_31709 ("Call sign" TEXT, "Frequency MHz" FLOAT, "City of license" TEXT, "ERP W" TEXT, "Class" TEXT, "FCC info" TEXT)
| Name the FCC info for call sign of k208eq | SELECT "FCC info" FROM table_31709 WHERE "Call sign" = 'k208eq' | SELECT "FCC info" FROM "table_31709" WHERE "Call sign" = 'k208eq' | 0.063477 |
CREATE TABLE Photos (Photo_ID INT, Tourist_Attraction_ID INT, Name VARCHAR, Description VARCHAR, Filename VARCHAR, Other_Details VARCHAR)
CREATE TABLE Shops (Shop_ID INT, Shop_Details VARCHAR)
CREATE TABLE Street_Markets (Market_ID INT, Market_Details VARCHAR)
CREATE TABLE Ref_Attraction_Types (Attraction_Type_Code CHAR, Attraction_Type_Description VARCHAR)
CREATE TABLE Tourist_Attraction_Features (Tourist_Attraction_ID INT, Feature_ID INT)
CREATE TABLE Royal_Family (Royal_Family_ID INT, Royal_Family_Details VARCHAR)
CREATE TABLE Ref_Hotel_Star_Ratings (star_rating_code CHAR, star_rating_description VARCHAR)
CREATE TABLE Visits (Visit_ID INT, Tourist_Attraction_ID INT, Tourist_ID INT, Visit_Date DATETIME, Visit_Details VARCHAR)
CREATE TABLE Tourist_Attractions (Tourist_Attraction_ID INT, Attraction_Type_Code CHAR, Location_ID INT, How_to_Get_There VARCHAR, Name VARCHAR, Description VARCHAR, Opening_Hours VARCHAR, Other_Details VARCHAR)
CREATE TABLE Museums (Museum_ID INT, Museum_Details VARCHAR)
CREATE TABLE Visitors (Tourist_ID INT, Tourist_Details VARCHAR)
CREATE TABLE Locations (Location_ID INT, Location_Name VARCHAR, Address VARCHAR, Other_Details VARCHAR)
CREATE TABLE Theme_Parks (Theme_Park_ID INT, Theme_Park_Details VARCHAR)
CREATE TABLE Hotels (hotel_id INT, star_rating_code CHAR, pets_allowed_yn CHAR, price_range FLOAT, other_hotel_details VARCHAR)
CREATE TABLE Features (Feature_ID INT, Feature_Details VARCHAR)
CREATE TABLE Staff (Staff_ID INT, Tourist_Attraction_ID INT, Name VARCHAR, Other_Details VARCHAR)
| Show the names and ids of tourist attractions that are visited at least two times Visualize by bar chart, display by the Tourist_Attraction_ID in descending. | SELECT T1.Name, T1.Tourist_Attraction_ID FROM Tourist_Attractions AS T1 JOIN Visits AS T2 ON T1.Tourist_Attraction_ID = T2.Tourist_Attraction_ID ORDER BY T1.Tourist_Attraction_ID DESC | SELECT "T1"."Name", "T1"."Tourist_Attraction_ID" FROM "Tourist_Attractions" AS "T1" JOIN "Visits" AS "T2" ON "T1"."Tourist_Attraction_ID" = "T2"."Tourist_Attraction_ID" ORDER BY "T1"."Tourist_Attraction_ID" DESC NULLS LAST | 0.216797 |
CREATE TABLE table_name_15 (to_par VARCHAR, year_s__won VARCHAR)
| What To par was won in 1982? | SELECT to_par FROM table_name_15 WHERE year_s__won = "1982" | SELECT "to_par" FROM "table_name_15" WHERE "1982" = "year_s__won" | 0.063477 |
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 ENROLL (CLASS_CODE VARCHAR, STU_NUM INT, ENROLL_GRADE 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)
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR, DEPT_NAME VARCHAR, SCHOOL_CODE VARCHAR, EMP_NUM INT, DEPT_ADDRESS VARCHAR, DEPT_EXTENSION VARCHAR)
CREATE TABLE CLASS (CLASS_CODE VARCHAR, CRS_CODE VARCHAR, CLASS_SECTION VARCHAR, CLASS_TIME VARCHAR, CLASS_ROOM VARCHAR, PROF_NUM INT)
CREATE TABLE EMPLOYEE (EMP_NUM INT, EMP_LNAME VARCHAR, EMP_FNAME VARCHAR, EMP_INITIAL VARCHAR, EMP_JOBCODE VARCHAR, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
| How many courses for each course description? Show me a stacked bar chart The x-axis is course description and group by instructor's first name, and list in descending by the y axis please. | SELECT CRS_DESCRIPTION, COUNT(CRS_DESCRIPTION) 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 EMP_FNAME, CRS_DESCRIPTION ORDER BY COUNT(CRS_DESCRIPTION) DESC | SELECT "CRS_DESCRIPTION", COUNT("CRS_DESCRIPTION") 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 "EMP_FNAME", "CRS_DESCRIPTION" ORDER BY COUNT("CRS_DESCRIPTION") DESC NULLS LAST | 0.332031 |
CREATE TABLE table_26891 ("Date ( YYYY-MM-DD ) " TEXT, "Time ( UTC ) " TEXT, "Latitude" TEXT, "Longitude" TEXT, "Depth" TEXT, "Magnitude" TEXT)
| What was the latitude that had a UTC time of 18:19:36? | SELECT "Latitude" FROM table_26891 WHERE "Time (UTC)" = '18:19:36' | SELECT "Latitude" FROM "table_26891" WHERE "Time (UTC)" = '18:19:36' | 0.066406 |
CREATE TABLE Elimination (Elimination_ID TEXT, Wrestler_ID TEXT, Team TEXT, Eliminated_By TEXT, Elimination_Move TEXT, Time TEXT)
CREATE TABLE wrestler (Wrestler_ID INT, Name TEXT, Reign TEXT, Days_held TEXT, Location TEXT, Event TEXT)
| A pie chart shows the proportion of the number of locations of the wrestlers. | SELECT Location, COUNT(Location) FROM wrestler GROUP BY Location | SELECT "Location", COUNT("Location") FROM "wrestler" GROUP BY "Location" | 0.070313 |
CREATE TABLE table_26593762_2 (team VARCHAR, manager VARCHAR)
| Who is the captain of Neil Warnock's team? | SELECT team AS captain FROM table_26593762_2 WHERE manager = "Neil Warnock" | SELECT "team" AS "captain" FROM "table_26593762_2" WHERE "Neil Warnock" = "manager" | 0.081055 |
CREATE TABLE paperkeyphrase (paperid INT, keyphraseid INT)
CREATE TABLE author (authorid INT, authorname VARCHAR)
CREATE TABLE dataset (datasetid INT, datasetname VARCHAR)
CREATE TABLE cite (citingpaperid INT, citedpaperid INT)
CREATE TABLE journal (journalid INT, journalname VARCHAR)
CREATE TABLE venue (venueid INT, venuename VARCHAR)
CREATE TABLE field (fieldid INT)
CREATE TABLE paper (paperid INT, title VARCHAR, venueid INT, year INT, numciting INT, numcitedby INT, journalid INT)
CREATE TABLE paperdataset (paperid INT, datasetid INT)
CREATE TABLE paperfield (fieldid INT, paperid INT)
CREATE TABLE keyphrase (keyphraseid INT, keyphrasename VARCHAR)
CREATE TABLE writes (paperid INT, authorid INT)
| Does brian curless do convolution ? | SELECT DISTINCT author.authorid, paper.paperid FROM author, keyphrase, paper, paperkeyphrase, writes WHERE author.authorname = 'brian curless' AND keyphrase.keyphrasename = 'convolution' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid AND writes.authorid = author.authorid AND writes.paperid = paper.paperid | SELECT DISTINCT "author"."authorid", "paper"."paperid" FROM "author" JOIN "writes" ON "author"."authorid" = "writes"."authorid" JOIN "paper" ON "paper"."paperid" = "writes"."paperid" JOIN "paperkeyphrase" ON "paper"."paperid" = "paperkeyphrase"."paperid" JOIN "keyphrase" ON "keyphrase"."keyphraseid" = "paperkeyphrase"."keyphraseid" AND "keyphrase"."keyphrasename" = 'convolution' WHERE "author"."authorname" = 'brian curless' | 0.416992 |
CREATE TABLE table_201_31 (id DECIMAL, "number" DECIMAL, "author" TEXT, "first line" TEXT, "notes" TEXT)
| which author had a poem on this list with the first line as it fell upon day and also a poem that starts with if music and sweet poetry agree . | SELECT "author" FROM table_201_31 WHERE "first line" = '"as it fell upon a day"' | SELECT "author" FROM "table_201_31" WHERE "first line" = '"as it fell upon a day"' | 0.080078 |
CREATE TABLE journal (Journal_ID INT, Date TEXT, Theme TEXT, Sales INT)
CREATE TABLE editor (Editor_ID INT, Name TEXT, Age FLOAT)
CREATE TABLE journal_committee (Editor_ID INT, Journal_ID INT, Work_Type TEXT)
| Draw a bar chart of name versus age, and I want to list in desc by the x axis. | SELECT Name, Age FROM editor ORDER BY Name DESC | SELECT "Name", "Age" FROM "editor" ORDER BY "Name" DESC NULLS LAST | 0.064453 |
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
| what is patient 032-32248's height for the first time in their last hospital visit? | SELECT patient.admissionheight FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '032-32248' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime DESC LIMIT 1) AND NOT patient.admissionheight IS NULL ORDER BY patient.unitadmittime LIMIT 1 | SELECT "patient"."admissionheight" FROM "patient" WHERE "patient"."patienthealthsystemstayid" IN (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '032-32248' AND NOT "patient"."hospitaldischargetime" IS NULL ORDER BY "patient"."hospitaladmittime" DESC NULLS LAST LIMIT 1) AND NOT "patient"."admissionheight" IS NULL ORDER BY "patient"."unitadmittime" NULLS FIRST LIMIT 1 | 0.402344 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE 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)
| which patients have procedure icd9 code 4523? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE procedures.icd9_code = "4523" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "4523" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" | 0.171875 |
CREATE TABLE table_204_455 (id DECIMAL, "rd." DECIMAL, "grand prix" TEXT, "date" TEXT, "location" TEXT, "pole position" TEXT, "fastest lap" TEXT, "winning driver" TEXT, "constructor" TEXT, "report" TEXT)
| how many did alain prost have the fastest lap ? | SELECT COUNT(*) FROM table_204_455 WHERE "fastest lap" = 'alain prost' | SELECT COUNT(*) FROM "table_204_455" WHERE "fastest lap" = 'alain prost' | 0.070313 |
CREATE TABLE table_42146 ("Rank" FLOAT, "Nation" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| How many France bronze have a gold of more than 1 and a rank of 0? | SELECT SUM("Bronze") FROM table_42146 WHERE "Gold" > '1' AND "Nation" = 'france' AND "Rank" < '1' | SELECT SUM("Bronze") FROM "table_42146" WHERE "Gold" > '1' AND "Nation" = 'france' AND "Rank" < '1' | 0.09668 |
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 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 time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description 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 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 equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code 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 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 dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type 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 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 ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
| please give all flights from DALLAS to OAKLAND california monday | 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 = 'OAKLAND' AND date_day.day_number = 21 AND date_day.month_number = 2 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 = 'DALLAS' 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" = 21 AND "date_day"."month_number" = 2 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" = 'DALLAS' 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" = 'OAKLAND' | 0.704102 |
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)
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)
| provide the number of patients whose insurance is medicare and diagnosis short title is idio periph neurpthy nos. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.insurance = "Medicare" AND diagnoses.short_title = "Idio periph neurpthy NOS" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Idio periph neurpthy NOS" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "Medicare" = "demographic"."insurance" | 0.234375 |
CREATE TABLE table_1132568_3 (rd VARCHAR, pole_position VARCHAR, fastest_lap VARCHAR, constructor VARCHAR)
| What are the numbers for the raceways that are constructed by Ferrari, with Michael Schumacher holding the fastest lap and pole position? | SELECT rd FROM table_1132568_3 WHERE fastest_lap = "Michael Schumacher" AND constructor = "Ferrari" AND pole_position = "Michael Schumacher" | SELECT "rd" FROM "table_1132568_3" WHERE "Ferrari" = "constructor" AND "Michael Schumacher" = "fastest_lap" AND "Michael Schumacher" = "pole_position" | 0.146484 |
CREATE TABLE table_204_859 (id DECIMAL, "year" DECIMAL, "seniors ( trood award & rodda medal ) " TEXT, "reserves ( rex hartley medal ) " TEXT, "under 18's ( bruce wilkinson medal ) " TEXT, "under 16's ( shaw/carter medal ) " TEXT)
| tell me the only year vinall appears on the list . | SELECT "year" FROM table_204_859 WHERE "reserves (rex hartley medal)" = 'jack vinall' | SELECT "year" FROM "table_204_859" WHERE "reserves (rex hartley medal)" = 'jack vinall' | 0.084961 |
CREATE TABLE table_48099 ("Rider" TEXT, "Manufacturer" TEXT, "Laps" FLOAT, "Time/Retired" TEXT, "Grid" FLOAT)
| Which Time/Retired has Laps smaller than 24, and a Manufacturer of aprilia, and a Grid smaller than 12, and a Rider of ngel rodr guez? | SELECT "Time/Retired" FROM table_48099 WHERE "Laps" < '24' AND "Manufacturer" = 'aprilia' AND "Grid" < '12' AND "Rider" = 'ángel rodríguez' | SELECT "Time/Retired" FROM "table_48099" WHERE "Grid" < '12' AND "Laps" < '24' AND "Manufacturer" = 'aprilia' AND "Rider" = 'ángel rodríguez' | 0.137695 |
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
| For those records from the products and each product's manufacturer, return a bar chart about the distribution of founder and the sum of code , and group by attribute founder, and order bar in ascending order. | SELECT T2.Founder, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Founder ORDER BY T2.Founder | SELECT "T2"."Founder", "T1"."Code" FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T2"."Founder" ORDER BY "T2"."Founder" NULLS FIRST | 0.179688 |
CREATE TABLE table_dev_28 ("id" INT, "gender" TEXT, "systolic_blood_pressure_sbp" INT, "consent" BOOLEAN, "hemoglobin_a1c_hba1c" FLOAT, "hematocrit_hct" FLOAT, "fasting_triglycerides" INT, "fasting_blood_glucose_fbg" FLOAT, "diastolic_blood_pressure_dbp" INT, "hba1c" FLOAT, "metformin" BOOLEAN, "age" FLOAT, "NOUSE" FLOAT)
| systolic blood pressure greater than 160 mmhg, or diastolic blood pressure greater than 100 mmhg at screening | SELECT * FROM table_dev_28 WHERE systolic_blood_pressure_sbp > 160 OR diastolic_blood_pressure_dbp > 100 | SELECT * FROM "table_dev_28" WHERE "diastolic_blood_pressure_dbp" > 100 OR "systolic_blood_pressure_sbp" > 160 | 0.107422 |
CREATE TABLE table_14465871_1 (powershell__cmdlet_ VARCHAR, unix_shell VARCHAR)
| How many values of powershell (cmdlet) are valid when unix shell is env, export, set, setenv? | SELECT COUNT(powershell__cmdlet_) FROM table_14465871_1 WHERE unix_shell = "env, export, set, setenv" | SELECT COUNT("powershell__cmdlet_") FROM "table_14465871_1" WHERE "env, export, set, setenv" = "unix_shell" | 0.104492 |
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 prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| Provide the number of patients who stayed in the hospital for more than 8 days and were given the drug trazodone. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.days_stay > "8" AND prescriptions.drug = "traZODONE" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "demographic"."hadm_id" = "prescriptions"."hadm_id" AND "prescriptions"."drug" = "traZODONE" WHERE "8" < "demographic"."days_stay" | 0.217773 |
CREATE TABLE table_17580 ("Season" TEXT, "Mens singles" TEXT, "Womens singles" TEXT, "Mens doubles" TEXT, "Womens doubles" TEXT, "Mixed doubles" TEXT)
| Who was the womens singles winnerwhen the mens doubles were stefan karlsson claes nordin , bk aura gbk? | SELECT "Womens singles" FROM table_17580 WHERE "Mens doubles" = 'Stefan Karlsson Claes Nordin , BK Aura GBK' | SELECT "Womens singles" FROM "table_17580" WHERE "Mens doubles" = 'Stefan Karlsson Claes Nordin , BK Aura GBK' | 0.107422 |
CREATE TABLE table_30218 ("District" TEXT, "Status" TEXT, "Date abolished" TEXT, "Former county" TEXT, "Successor" TEXT)
| What are the statuses of the districts whose successor is Wiltshire? | SELECT "Status" FROM table_30218 WHERE "Successor" = 'Wiltshire' | SELECT "Status" FROM "table_30218" WHERE "Successor" = 'Wiltshire' | 0.064453 |
CREATE TABLE table_61716 ("Romanised name" TEXT, "Chinese name" TEXT, "age at appointment" FLOAT, "Foreign nationality" TEXT, "Portfolio attachment" TEXT, "Govt salary" TEXT)
| What is the government salary of the Undersecretary with a Romanised name of Chen Wei-On, Kenneth? | SELECT "Govt salary" FROM table_61716 WHERE "Romanised name" = 'chen wei-on, kenneth' | SELECT "Govt salary" FROM "table_61716" WHERE "Romanised name" = 'chen wei-on, kenneth' | 0.084961 |
CREATE TABLE table_name_48 (week VARCHAR, attendance VARCHAR)
| Which week's game was attended by 33,057 people? | SELECT week FROM table_name_48 WHERE attendance = "33,057" | SELECT "week" FROM "table_name_48" WHERE "33,057" = "attendance" | 0.0625 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE 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)
| count the number of patients whose admission type is emergency and procedure long title is other partial resection of small intestine? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND procedures.long_title = "Other partial resection of small intestine" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Other partial resection of small intestine" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "EMERGENCY" = "demographic"."admission_type" | 0.259766 |
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE month (month_number INT, month_name TEXT)
| show me the flights from IAD to SAN FRANCISCO leaving after 1800 | SELECT DISTINCT flight.flight_id FROM airport, airport_service, city, flight WHERE (city.city_code = airport_service.city_code AND city.city_name = 'SAN FRANCISCO' AND flight.departure_time > 1800 AND flight.to_airport = airport_service.airport_code) AND airport.airport_code = 'IAD' AND flight.from_airport = airport.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport" JOIN "flight" ON "airport"."airport_code" = "flight"."from_airport" AND "flight"."departure_time" > 1800 JOIN "airport_service" ON "airport_service"."airport_code" = "flight"."to_airport" JOIN "city" ON "airport_service"."city_code" = "city"."city_code" AND "city"."city_name" = 'SAN FRANCISCO' WHERE "airport"."airport_code" = 'IAD' | 0.375977 |
CREATE TABLE table_79722 ("Rank" FLOAT, "Nation" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What are the most bronze medals in a rank more than 1 with a total larger than 3? | SELECT MAX("Bronze") FROM table_79722 WHERE "Total" > '3' AND "Rank" > '1' | SELECT MAX("Bronze") FROM "table_79722" WHERE "Rank" > '1' AND "Total" > '3' | 0.074219 |
CREATE TABLE table_29730 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
| Name the high rebounds for wells fargo center 16,695 | SELECT "High rebounds" FROM table_29730 WHERE "Location Attendance" = 'Wells Fargo Center 16,695' | SELECT "High rebounds" FROM "table_29730" WHERE "Location Attendance" = 'Wells Fargo Center 16,695' | 0.09668 |
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
| For those products with a price between 60 and 120, draw a bar chart about the distribution of name and manufacturer , display by the X from low to high. | SELECT Name, Manufacturer FROM Products WHERE Price BETWEEN 60 AND 120 ORDER BY Name | SELECT "Name", "Manufacturer" FROM "Products" WHERE "Price" <= 120 AND "Price" >= 60 ORDER BY "Name" NULLS FIRST | 0.109375 |
CREATE TABLE department (dno DECIMAL, division TEXT, dname TEXT, room TEXT, building TEXT, dphone DECIMAL)
CREATE TABLE enrolled_in (stuid DECIMAL, cid TEXT, grade TEXT)
CREATE TABLE gradeconversion (lettergrade TEXT, gradepoint DECIMAL)
CREATE TABLE faculty (facid DECIMAL, lname TEXT, fname TEXT, rank TEXT, sex TEXT, phone DECIMAL, room TEXT, building TEXT)
CREATE TABLE minor_in (stuid DECIMAL, dno DECIMAL)
CREATE TABLE course (cid TEXT, cname TEXT, credits DECIMAL, instructor DECIMAL, days TEXT, hours TEXT, dno DECIMAL)
CREATE TABLE student (stuid DECIMAL, lname TEXT, fname TEXT, age DECIMAL, sex TEXT, major DECIMAL, advisor DECIMAL, city_code TEXT)
CREATE TABLE member_of (facid DECIMAL, dno DECIMAL, appt_type TEXT)
| Find the first names of students whose first names contain letter 'a'. | SELECT DISTINCT fname FROM student WHERE fname LIKE '%a%' | SELECT DISTINCT "fname" FROM "student" WHERE "fname" LIKE '%a%' | 0.061523 |
CREATE TABLE table_name_48 (nba_draft VARCHAR, college VARCHAR)
| What is the NBA draft result of the player from the College of Kansas? | SELECT nba_draft FROM table_name_48 WHERE college = "kansas" | SELECT "nba_draft" FROM "table_name_48" WHERE "college" = "kansas" | 0.064453 |
CREATE TABLE table_62591 ("Tie no" TEXT, "Home team" TEXT, "Score" TEXT, "Away team" TEXT, "Date" TEXT)
| What is the Tie no for Away Team Ipswich Town? | SELECT "Tie no" FROM table_62591 WHERE "Away team" = 'ipswich town' | SELECT "Tie no" FROM "table_62591" WHERE "Away team" = 'ipswich town' | 0.067383 |
CREATE TABLE table_name_71 (serial_no VARCHAR, engine_no VARCHAR, colour VARCHAR, pilot_car_no VARCHAR)
| What is the serial number of the pilot car that is black, has a pilot car number larger than 2, and an engine number of 1008? | SELECT serial_no FROM table_name_71 WHERE colour = "black" AND pilot_car_no > 2 AND engine_no = 1008 | SELECT "serial_no" FROM "table_name_71" WHERE "black" = "colour" AND "engine_no" = 1008 AND "pilot_car_no" > 2 | 0.107422 |
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
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 VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE 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 FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description 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 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 PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment 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)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
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 PostHistoryTypes (Id DECIMAL, Name 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)
| Users with high score who have reputation 1. | SELECT RANK() OVER (ORDER BY SUM(p.Score) DESC) AS Rank, u.Id AS "user_link", SUM(p.Score) AS "total_score", COUNT(p.Id) AS "total_posts", SUM(CASE WHEN p.PostTypeId = 1 THEN 1 ELSE 0 END) AS "total_questions", SUM(CASE WHEN p.PostTypeId = 1 THEN p.Score ELSE 0 END) AS "question_score", SUM(CASE WHEN p.PostTypeId = 2 THEN 1 ELSE 0 END) AS "total_answers", SUM(CASE WHEN p.PostTypeId = 2 THEN p.Score ELSE 0 END) AS "answer_score", u.LastAccessDate, u.Reputation FROM Users AS u INNER JOIN Posts AS p ON (p.OwnerUserId = u.Id) AND (p.CommunityOwnedDate IS NULL) WHERE u.Reputation = 1 GROUP BY u.Id, u.LastAccessDate, u.Reputation ORDER BY SUM(p.Score) DESC LIMIT 100 | SELECT RANK() OVER (ORDER BY SUM("p"."Score") DESC NULLS LAST) AS "Rank", "u"."Id" AS "user_link", SUM("p"."Score") AS "total_score", COUNT("p"."Id") AS "total_posts", SUM(CASE WHEN "p"."PostTypeId" = 1 THEN 1 ELSE 0 END) AS "total_questions", SUM(CASE WHEN "p"."PostTypeId" = 1 THEN "p"."Score" ELSE 0 END) AS "question_score", SUM(CASE WHEN "p"."PostTypeId" = 2 THEN 1 ELSE 0 END) AS "total_answers", SUM(CASE WHEN "p"."PostTypeId" = 2 THEN "p"."Score" ELSE 0 END) AS "answer_score", "u"."LastAccessDate", "u"."Reputation" FROM "Users" AS "u" JOIN "Posts" AS "p" ON "p"."CommunityOwnedDate" IS NULL AND "p"."OwnerUserId" = "u"."Id" WHERE "u"."Reputation" = 1 GROUP BY "u"."Id", "u"."LastAccessDate", "u"."Reputation" ORDER BY SUM("p"."Score") DESC NULLS LAST LIMIT 100 | 0.751953 |
CREATE TABLE table_name_83 (country VARCHAR, bie_recognised VARCHAR, year_s_ VARCHAR)
| what is the country when the bie recognised is no and years(s) is 2014? | SELECT country FROM table_name_83 WHERE bie_recognised = "no" AND year_s_ = "2014" | SELECT "country" FROM "table_name_83" WHERE "2014" = "year_s_" AND "bie_recognised" = "no" | 0.087891 |
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 treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
| did patient 016-23497 have any medication until 2 years ago? | SELECT COUNT(*) > 0 FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '016-23497')) AND DATETIME(medication.drugstarttime) <= DATETIME(CURRENT_TIME(), '-2 year') | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '016-23497' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) > 0 FROM "medication" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "medication"."patientunitstayid" WHERE DATETIME("medication"."drugstarttime") <= DATETIME(CURRENT_TIME(), '-2 year') AND NOT "_u_1"."" IS NULL | 0.566406 |
CREATE TABLE table_203_204 (id DECIMAL, "year" DECIMAL, "film" TEXT, "language" TEXT, "actors" TEXT, "music" TEXT, "banner" TEXT, "note" TEXT)
| how many films were directed in the year 1961 by sridhar ? | SELECT COUNT("film") FROM table_203_204 WHERE "year" = 1961 | SELECT COUNT("film") FROM "table_203_204" WHERE "year" = 1961 | 0.05957 |
CREATE TABLE table_80297 ("Track" FLOAT, "Recorded" TEXT, "Catalogue" TEXT, "Release Date" TEXT, "Chart Peak" TEXT, "Song Title" TEXT, "Writer ( s ) " TEXT, "Time" TEXT)
| On songs with track numbers smaller than number 17 and catalogues of LSP 2231, who are the writer(s)? | SELECT "Writer(s)" FROM table_80297 WHERE "Catalogue" = 'lsp 2231' AND "Track" < '17' | SELECT "Writer(s)" FROM "table_80297" WHERE "Catalogue" = 'lsp 2231' AND "Track" < '17' | 0.084961 |
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)
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)
| what is maximum age of patients whose ethnicity is asian and days of hospital stay is 23? | SELECT MAX(demographic.age) FROM demographic WHERE demographic.ethnicity = "ASIAN" AND demographic.days_stay = "23" | SELECT MAX("demographic"."age") FROM "demographic" WHERE "23" = "demographic"."days_stay" AND "ASIAN" = "demographic"."ethnicity" | 0.125977 |
CREATE TABLE table_27374004_2 (team_captain VARCHAR, club VARCHAR)
| Who is the team captain when the club is k.f.c. germinal beerschot? | SELECT team_captain FROM table_27374004_2 WHERE club = "K.F.C. Germinal Beerschot" | SELECT "team_captain" FROM "table_27374004_2" WHERE "K.F.C. Germinal Beerschot" = "club" | 0.085938 |
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)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what is admission time and discharge time of subject id 53707? | SELECT demographic.admittime, demographic.dischtime FROM demographic WHERE demographic.subject_id = "53707" | SELECT "demographic"."admittime", "demographic"."dischtime" FROM "demographic" WHERE "53707" = "demographic"."subject_id" | 0.118164 |
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)
CREATE TABLE university (School_ID INT, School TEXT, Location TEXT, Founded FLOAT, Affiliation TEXT, Enrollment FLOAT, Nickname TEXT, Primary_conference TEXT)
| Draw a bar chart about the distribution of All_Road and School_ID , order by the Y-axis from low to high please. | SELECT All_Road, School_ID FROM basketball_match ORDER BY School_ID | SELECT "All_Road", "School_ID" FROM "basketball_match" ORDER BY "School_ID" NULLS FIRST | 0.084961 |
CREATE TABLE table_71589 ("Year" FLOAT, "Team" TEXT, "Co-Drivers" TEXT, "Class" TEXT, "Laps" FLOAT, "Pos." TEXT, "Class Pos." TEXT)
| How many laps were done in 2012? | SELECT SUM("Laps") FROM table_71589 WHERE "Year" = '2012' | SELECT SUM("Laps") FROM "table_71589" WHERE "Year" = '2012' | 0.057617 |
CREATE TABLE table_25058269_1 (runner_up VARCHAR, season VARCHAR)
| In season 2007 08 who is the runner-up? | SELECT runner_up FROM table_25058269_1 WHERE season = "2007–08" | SELECT "runner_up" FROM "table_25058269_1" WHERE "2007–08" = "season" | 0.067383 |
CREATE TABLE table_35320 ("Season" FLOAT, "Overall" FLOAT, "Slalom" TEXT, "Giant Slalom" FLOAT, "Super G" TEXT, "Downhill" TEXT, "Combined" TEXT)
| What is the value for Slalom in seasons later than 1994 and overall value greater than 22? | SELECT "Slalom" FROM table_35320 WHERE "Season" > '1994' AND "Overall" > '22' | SELECT "Slalom" FROM "table_35320" WHERE "Overall" > '22' AND "Season" > '1994' | 0.077148 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE 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)
| what is the number of patients whose admission year is less than 2150 and lab test name is free calcium? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2150" AND lab.label = "Free Calcium" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Free Calcium" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2150" > "demographic"."admityear" | 0.195313 |
CREATE TABLE table_75256 ("Team" TEXT, "City" TEXT, "Arena" TEXT, "Founded" FLOAT, "First AF2 season" FLOAT, "Final AF2 season" FLOAT)
| How many founded years had a final af2 season prior to 2009 where the arena was the bi-lo center and the first af2 season was prior to 2000? | SELECT COUNT("Founded") FROM table_75256 WHERE "Final AF2 season" < '2009' AND "Arena" = 'bi-lo center' AND "First AF2 season" < '2000' | SELECT COUNT("Founded") FROM "table_75256" WHERE "Arena" = 'bi-lo center' AND "Final AF2 season" < '2009' AND "First AF2 season" < '2000' | 0.133789 |
CREATE TABLE table_204_317 (id DECIMAL, "metropolitan area" TEXT, "country" TEXT, "rank" DECIMAL, "forstall\ 2003 est." DECIMAL, "official population" DECIMAL, "year" DECIMAL)
| which population is listed before 5,357,422 ? | SELECT "official population" FROM table_204_317 WHERE id = (SELECT id FROM table_204_317 WHERE "official population" = 5357422) - 1 | SELECT "official population" FROM "table_204_317" WHERE "id" = (SELECT "id" FROM "table_204_317" WHERE "official population" = 5357422) - 1 | 0.135742 |
CREATE TABLE table_5825 ("Year" FLOAT, "Title" TEXT, "Role" TEXT, "Director" TEXT, "Notes" TEXT)
| Title of the angry brigade involves which lowest year? | SELECT MIN("Year") FROM table_5825 WHERE "Title" = 'the angry brigade' | SELECT MIN("Year") FROM "table_5825" WHERE "Title" = 'the angry brigade' | 0.070313 |
CREATE TABLE table_52728 ("Rank" FLOAT, "Nation" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| Which Total has a Gold smaller than 0? | SELECT SUM("Total") FROM table_52728 WHERE "Gold" < '0' | SELECT SUM("Total") FROM "table_52728" WHERE "Gold" < '0' | 0.055664 |
CREATE TABLE table_name_46 (decile INT, roll VARCHAR, area VARCHAR)
| What is the highest decile value with a roll greater than 301 in Hauraki? | SELECT MAX(decile) FROM table_name_46 WHERE roll > 301 AND area = "hauraki" | SELECT MAX("decile") FROM "table_name_46" WHERE "area" = "hauraki" AND "roll" > 301 | 0.081055 |
CREATE TABLE table_27765 ("Series #" FLOAT, "Season #" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "Production code" FLOAT, "U.S. viewers ( millions ) " TEXT)
| What is the original air date of the episode titled 'My Hard Labor'? | SELECT "Original air date" FROM table_27765 WHERE "Title" = 'My Hard Labor' | SELECT "Original air date" FROM "table_27765" WHERE "Title" = 'My Hard Labor' | 0.075195 |
CREATE TABLE table_44833 ("Game" TEXT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "Location Attendance" TEXT, "Series" TEXT)
| What is the Date of the game with a Score of L 115 118 (OT)? | SELECT "Date" FROM table_44833 WHERE "Score" = 'l 115–118 (ot)' | SELECT "Date" FROM "table_44833" WHERE "Score" = 'l 115–118 (ot)' | 0.063477 |
CREATE TABLE table_66958 ("D 48" TEXT, "D 47" TEXT, "D 46" TEXT, "D 45" TEXT, "D 44" TEXT, "D 43" TEXT, "D 42" TEXT, "D 41" TEXT)
| Name the D 47 when it has D 48 of d 29 | SELECT "D 47" FROM table_66958 WHERE "D 48" = 'd 29' | SELECT "D 47" FROM "table_66958" WHERE "D 48" = 'd 29' | 0.052734 |
CREATE TABLE table_name_55 (november INT, game VARCHAR)
| What is the sum of November, when Game is '17'? | SELECT SUM(november) FROM table_name_55 WHERE game = 17 | SELECT SUM("november") FROM "table_name_55" WHERE "game" = 17 | 0.05957 |
CREATE TABLE table_73560 ("Seed" FLOAT, "Rank" FLOAT, "Player" TEXT, "Points" FLOAT, "Points defending" TEXT, "Points won" FLOAT, "New points" FLOAT, "Status" TEXT)
| Name the points won for 1230 | SELECT "Points won" FROM table_73560 WHERE "Points" = '1230' | SELECT "Points won" FROM "table_73560" WHERE "Points" = '1230' | 0.060547 |
CREATE TABLE table_2508633_11 (college VARCHAR, nfl_team VARCHAR)
| How many colleges have the NFL Team Buffalo Bills? | SELECT COUNT(college) FROM table_2508633_11 WHERE nfl_team = "Buffalo Bills" | SELECT COUNT("college") FROM "table_2508633_11" WHERE "Buffalo Bills" = "nfl_team" | 0.080078 |
CREATE TABLE table_203_409 (id DECIMAL, "rank" DECIMAL, "representative" TEXT, "party" TEXT, "district" TEXT, "seniority date" TEXT, "notes" TEXT)
| who is listed next after rank number 218 ? | SELECT "representative" FROM table_203_409 WHERE id = (SELECT id FROM table_203_409 WHERE "rank" = 218) + 1 | SELECT "representative" FROM "table_203_409" WHERE "id" = (SELECT "id" FROM "table_203_409" WHERE "rank" = 218) + 1 | 0.112305 |
CREATE TABLE table_75626 ("County" TEXT, "Per capita income" TEXT, "Median household income" TEXT, "Median family income" TEXT, "Population" FLOAT, "Number of households" FLOAT)
| What is the Median family income when the Median household income is $38,137? | SELECT "Median family income" FROM table_75626 WHERE "Median household income" = '$38,137' | SELECT "Median family income" FROM "table_75626" WHERE "Median household income" = '$38,137' | 0.089844 |
CREATE TABLE table_203_287 (id DECIMAL, "rank" DECIMAL, "area" TEXT, "date" TEXT, "presenter" TEXT, "seven wonders covered" TEXT)
| name the presenter after the presenter who presented the epping forest as a seventh wonder . | SELECT "presenter" FROM table_203_287 WHERE "rank" = (SELECT "rank" FROM table_203_287 WHERE "seven wonders covered" = 'epping forest') + 1 | SELECT "presenter" FROM "table_203_287" WHERE "rank" = (SELECT "rank" FROM "table_203_287" WHERE "seven wonders covered" = 'epping forest') + 1 | 0.139648 |
CREATE TABLE Rooms (RoomId TEXT, roomName TEXT, beds INT, bedType TEXT, maxOccupancy INT, basePrice INT, decor TEXT)
CREATE TABLE Reservations (Code INT, Room TEXT, CheckIn TEXT, CheckOut TEXT, Rate FLOAT, LastName TEXT, FirstName TEXT, Adults INT, Kids INT)
| How many rooms have king beds? Report the number for each decor type Plot them as bar chart, list by the x-axis in descending. | SELECT decor, COUNT(*) FROM Rooms WHERE bedType = "King" GROUP BY decor ORDER BY decor DESC | SELECT "decor", COUNT(*) FROM "Rooms" WHERE "King" = "bedType" GROUP BY "decor" ORDER BY "decor" DESC NULLS LAST | 0.109375 |
CREATE TABLE table_name_47 (points INT, year INT)
| What is the total points before 1963? | SELECT SUM(points) FROM table_name_47 WHERE year < 1963 | SELECT SUM("points") FROM "table_name_47" WHERE "year" < 1963 | 0.05957 |
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE 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 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 diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE 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 patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
| what is the top four most frequently performed microbiology tests for patients who receive inject into thorax cavit since 2103 that follow during the same hospital visit? | SELECT t3.spec_type_desc FROM (SELECT t2.spec_type_desc, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, procedures_icd.charttime, admissions.hadm_id FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'inject into thorax cavit') AND STRFTIME('%y', procedures_icd.charttime) >= '2103') AS t1 JOIN (SELECT admissions.subject_id, microbiologyevents.spec_type_desc, microbiologyevents.charttime, admissions.hadm_id FROM microbiologyevents JOIN admissions ON microbiologyevents.hadm_id = admissions.hadm_id WHERE STRFTIME('%y', microbiologyevents.charttime) >= '2103') AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND t1.hadm_id = t2.hadm_id GROUP BY t2.spec_type_desc) AS t3 WHERE t3.c1 <= 4 | WITH "t2" AS (SELECT "admissions"."subject_id", "microbiologyevents"."spec_type_desc", "microbiologyevents"."charttime", "admissions"."hadm_id" FROM "microbiologyevents" JOIN "admissions" ON "admissions"."hadm_id" = "microbiologyevents"."hadm_id" WHERE STRFTIME('%y', "microbiologyevents"."charttime") >= '2103'), "t3" AS (SELECT "t2"."spec_type_desc", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'inject into thorax cavit' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" JOIN "t2" AS "t2" ON "admissions"."hadm_id" = "t2"."hadm_id" AND "admissions"."subject_id" = "t2"."subject_id" AND "procedures_icd"."charttime" < "t2"."charttime" WHERE STRFTIME('%y', "procedures_icd"."charttime") >= '2103' GROUP BY "t2"."spec_type_desc") SELECT "t3"."spec_type_desc" FROM "t3" AS "t3" WHERE "t3"."c1" <= 4 | 0.964844 |
CREATE TABLE instruments (songid DECIMAL, bandmateid DECIMAL, instrument TEXT)
CREATE TABLE songs (songid DECIMAL, title TEXT)
CREATE TABLE performance (songid DECIMAL, bandmate DECIMAL, stageposition TEXT)
CREATE TABLE vocals (songid DECIMAL, bandmate DECIMAL, type TEXT)
CREATE TABLE band (id DECIMAL, firstname TEXT, lastname TEXT)
CREATE TABLE albums (aid DECIMAL, title TEXT, year DECIMAL, label TEXT, type TEXT)
CREATE TABLE tracklists (albumid DECIMAL, position DECIMAL, songid DECIMAL)
| What is the first and last name of artist who performed 'Le Pop'? | SELECT T2.firstname, T2.lastname FROM performance AS T1 JOIN band AS T2 ON T1.bandmate = T2.id JOIN songs AS T3 ON T3.songid = T1.songid WHERE T3.title = "Le Pop" | SELECT "T2"."firstname", "T2"."lastname" FROM "performance" AS "T1" JOIN "band" AS "T2" ON "T1"."bandmate" = "T2"."id" JOIN "songs" AS "T3" ON "Le Pop" = "T3"."title" AND "T1"."songid" = "T3"."songid" | 0.195313 |
Subsets and Splits