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CREATE TABLE table_name_13 (result VARCHAR, location VARCHAR)
| What is the result of the London 2012 Women's Olympic Football Tournament? | SELECT result FROM table_name_13 WHERE location = "london 2012 women's olympic football tournament" | SELECT "result" FROM "table_name_13" WHERE "location" = "london 2012 women's olympic football tournament" | 0.102539 |
CREATE TABLE table_name_67 (time VARCHAR, event VARCHAR)
| What time did the even tachi palace fights 3 take place? | SELECT time FROM table_name_67 WHERE event = "tachi palace fights 3" | SELECT "time" FROM "table_name_67" WHERE "event" = "tachi palace fights 3" | 0.072266 |
CREATE TABLE table_47369 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
| Who had the high rebounds when the score was l 85 102 (ot)? | SELECT "High rebounds" FROM table_47369 WHERE "Score" = 'l 85–102 (ot)' | SELECT "High rebounds" FROM "table_47369" WHERE "Score" = 'l 85–102 (ot)' | 0.071289 |
CREATE TABLE table_name_18 (total INT, gold VARCHAR, bronze VARCHAR, nation VARCHAR)
| What is the lowest metal total when the Bronze metals are larger than 0, the Gold medals are smaller than 1, and the nation is Switzerland? | SELECT MIN(total) FROM table_name_18 WHERE bronze > 0 AND nation = "switzerland" AND gold < 1 | SELECT MIN("total") FROM "table_name_18" WHERE "bronze" > 0 AND "gold" < 1 AND "nation" = "switzerland" | 0.100586 |
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 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 vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE 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 diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
| the last time in 02/2104, when was patient 002-58565 prescribed sodium bicarbonate 8.4% and heparin, porcine (pf) 5000 unit/0.5 ml inj syringe at the same time? | SELECT t1.drugstarttime FROM (SELECT patient.uniquepid, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE medication.drugname = 'sodium bicarbonate 8.4%' AND patient.uniquepid = '002-58565' AND STRFTIME('%y-%m', medication.drugstarttime) = '2104-02') AS t1 JOIN (SELECT patient.uniquepid, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE medication.drugname = 'heparin, porcine (pf) 5000 unit/0.5 ml inj syringe' AND patient.uniquepid = '002-58565' AND STRFTIME('%y-%m', medication.drugstarttime) = '2104-02') AS t2 ON t1.uniquepid = t2.uniquepid WHERE DATETIME(t1.drugstarttime) = DATETIME(t2.drugstarttime) ORDER BY t1.drugstarttime DESC LIMIT 1 | WITH "t2" AS (SELECT "patient"."uniquepid", "medication"."drugstarttime" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" AND "patient"."uniquepid" = '002-58565' WHERE "medication"."drugname" = 'heparin, porcine (pf) 5000 unit/0.5 ml inj syringe' AND STRFTIME('%y-%m', "medication"."drugstarttime") = '2104-02') SELECT "medication"."drugstarttime" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" AND "patient"."uniquepid" = '002-58565' JOIN "t2" AS "t2" ON "patient"."uniquepid" = "t2"."uniquepid" AND DATETIME("medication"."drugstarttime") = DATETIME("t2"."drugstarttime") WHERE "medication"."drugname" = 'sodium bicarbonate 8.4%' AND STRFTIME('%y-%m', "medication"."drugstarttime") = '2104-02' ORDER BY "medication"."drugstarttime" DESC NULLS LAST LIMIT 1 | 0.841797 |
CREATE TABLE table_41168 ("Date" TEXT, "Visitor" TEXT, "Score" TEXT, "Home" TEXT, "Leading scorer" TEXT, "Record" TEXT)
| What is the score of the home game for the Cavaliers where Lebron James (46) was the lead scorer? | SELECT "Score" FROM table_41168 WHERE "Home" = 'cavaliers' AND "Leading scorer" = 'lebron james (46)' | SELECT "Score" FROM "table_41168" WHERE "Home" = 'cavaliers' AND "Leading scorer" = 'lebron james (46)' | 0.100586 |
CREATE TABLE table_28311 ("Rank" FLOAT, "Player" TEXT, "Year" FLOAT, "Opponent" TEXT, "Passing yards" FLOAT, "Rushing yards" FLOAT, "Total offense" FLOAT)
| Who was the opponent when there was 81 rushing yards? | SELECT "Opponent" FROM table_28311 WHERE "Rushing yards" = '81' | SELECT "Opponent" FROM "table_28311" WHERE "Rushing yards" = '81' | 0.063477 |
CREATE TABLE table_43882 ("Place" TEXT, "Player" TEXT, "Country" TEXT, "Score" TEXT, "To par" TEXT)
| What is Score, when Player is 'Deane Beman'? | SELECT "Score" FROM table_43882 WHERE "Player" = 'deane beman' | SELECT "Score" FROM "table_43882" WHERE "Player" = 'deane beman' | 0.0625 |
CREATE TABLE table_204_907 (id DECIMAL, "lift name" TEXT, "type" TEXT, "top\ elevation\ ( ft ) " DECIMAL, "bottom\ elevation" DECIMAL, "vertical\ rise" DECIMAL, "length\ ( ft ) " DECIMAL, "slope\ ( % ) " TEXT, "capacity\ ( rides/hr ) " DECIMAL, "speed\ ( ft/min ) " DECIMAL, "lift\ manufacturer" TEXT, "year\ installed" DECIMAL)
| what lift has the least passenger capacity per hour ? | SELECT "lift name" FROM table_204_907 ORDER BY "capacity\n(rides/hr)" LIMIT 1 | SELECT "lift name" FROM "table_204_907" ORDER BY "capacity\n(rides/hr)" NULLS FIRST LIMIT 1 | 0.088867 |
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
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 jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
| For those employees who do not work in departments with managers that have ids between 100 and 200, a bar chart shows the distribution of hire_date and the amount of hire_date bin hire_date by time. | SELECT HIRE_DATE, COUNT(HIRE_DATE) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) | SELECT "HIRE_DATE", COUNT("HIRE_DATE") FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) | 0.173828 |
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE 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 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 month (month_number INT, month_name TEXT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant 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 state (state_code TEXT, state_name TEXT, country_name TEXT)
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 equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE code_description (code VARCHAR, 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 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 restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
| how long is the flight from ATLANTA to SAN FRANCISCO at 1200 on 11 7 | SELECT DISTINCT flight.time_elapsed 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 ((date_day.day_number = 7 AND date_day.month_number = 11 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.departure_time = 1200 AND flight.flight_days = days.days_code) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'ATLANTA' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."time_elapsed" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 7 AND "date_day"."month_number" = 11 AND "date_day"."year" = 1991 JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'ATLANTA' 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" = 1200 JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SAN FRANCISCO' | 0.75 |
CREATE TABLE table_name_56 (gross_mw VARCHAR, operation_start VARCHAR)
| Operation start of 2015 has what gross mw? | SELECT gross_mw FROM table_name_56 WHERE operation_start = "2015" | SELECT "gross_mw" FROM "table_name_56" WHERE "2015" = "operation_start" | 0.069336 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
| what is the number of patients whose lab test item id is 51457 and with lab test abnormal status delta? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE lab.itemid = "51457" AND lab.flag = "delta" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "51457" = "lab"."itemid" AND "delta" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.175781 |
CREATE TABLE table_14928423_1 (director_s_ VARCHAR, original_title VARCHAR)
| how many directors for the film | SELECT COUNT(director_s_) FROM table_14928423_1 WHERE original_title = "Мајки" | SELECT COUNT("director_s_") FROM "table_14928423_1" WHERE "original_title" = "Мајки" | 0.082031 |
CREATE TABLE table_name_25 (u_wins VARCHAR, alianza_goals VARCHAR, u_goals VARCHAR)
| What is the total number of U Wins, when Alianza Goals is '0', and when U Goals is greater than 3? | SELECT COUNT(u_wins) FROM table_name_25 WHERE alianza_goals = 0 AND u_goals > 3 | SELECT COUNT("u_wins") FROM "table_name_25" WHERE "alianza_goals" = 0 AND "u_goals" > 3 | 0.084961 |
CREATE TABLE table_name_33 (result VARCHAR, score VARCHAR, city VARCHAR)
| What was the result of the match that took place in Perth, featuring a score of 48-12? | SELECT result FROM table_name_33 WHERE score = "48-12" AND city = "perth" | SELECT "result" FROM "table_name_33" WHERE "48-12" = "score" AND "city" = "perth" | 0.079102 |
CREATE TABLE table_name_35 (celebrity VARCHAR, exited VARCHAR)
| Who was the celebrity who exited on day 13? | SELECT celebrity FROM table_name_35 WHERE exited = "day 13" | SELECT "celebrity" FROM "table_name_35" WHERE "day 13" = "exited" | 0.063477 |
CREATE TABLE behavior_incident (incident_id DECIMAL, incident_type_code TEXT, student_id DECIMAL, date_incident_start TIME, date_incident_end TIME, incident_summary TEXT, recommendations TEXT, other_details TEXT)
CREATE TABLE addresses (address_id DECIMAL, line_1 TEXT, line_2 TEXT, line_3 TEXT, city TEXT, zip_postcode TEXT, state_province_county TEXT, country TEXT, other_address_details TEXT)
CREATE TABLE teachers (teacher_id DECIMAL, address_id DECIMAL, first_name TEXT, middle_name TEXT, last_name TEXT, gender TEXT, cell_mobile_number TEXT, email_address TEXT, other_details TEXT)
CREATE TABLE students_in_detention (student_id DECIMAL, detention_id DECIMAL, incident_id DECIMAL)
CREATE TABLE assessment_notes (notes_id DECIMAL, student_id DECIMAL, teacher_id DECIMAL, date_of_notes TIME, text_of_notes TEXT, other_details TEXT)
CREATE TABLE students (student_id DECIMAL, address_id DECIMAL, first_name TEXT, middle_name TEXT, last_name TEXT, cell_mobile_number TEXT, email_address TEXT, date_first_rental TIME, date_left_university TIME, other_student_details TEXT)
CREATE TABLE ref_incident_type (incident_type_code TEXT, incident_type_description TEXT)
CREATE TABLE ref_detention_type (detention_type_code TEXT, detention_type_description TEXT)
CREATE TABLE detention (detention_id DECIMAL, detention_type_code TEXT, teacher_id DECIMAL, datetime_detention_start TIME, datetime_detention_end TIME, detention_summary TEXT, other_details TEXT)
CREATE TABLE ref_address_types (address_type_code TEXT, address_type_description TEXT)
CREATE TABLE student_addresses (student_id DECIMAL, address_id DECIMAL, date_address_from TIME, date_address_to TIME, monthly_rental DECIMAL, other_details TEXT)
| What is the email of the student with first name 'Emma' and last name 'Rohan'? | SELECT email_address FROM students WHERE first_name = "Emma" AND last_name = "Rohan" | SELECT "email_address" FROM "students" WHERE "Emma" = "first_name" AND "Rohan" = "last_name" | 0.089844 |
CREATE TABLE table_29789_3 (rank_2012 INT, international_tourism_expenditure_2011 VARCHAR)
| How many countries spent at least $51.0 billion in international tourism in 2012? | SELECT MAX(rank_2012) FROM table_29789_3 WHERE international_tourism_expenditure_2011 = "$51.0 billion" | SELECT MAX("rank_2012") FROM "table_29789_3" WHERE "$51.0 billion" = "international_tourism_expenditure_2011" | 0.106445 |
CREATE TABLE table_74941 ("Year" TEXT, "League" TEXT, "Reg. Season" TEXT, "Playoffs" TEXT, "Avg. attendance" TEXT)
| In 2010-11, what was the League name? | SELECT "League" FROM table_74941 WHERE "Year" = '2010-11' | SELECT "League" FROM "table_74941" WHERE "Year" = '2010-11' | 0.057617 |
CREATE TABLE table_203_191 (id DECIMAL, "year" DECIMAL, "group" TEXT, "award" TEXT, "result" TEXT, "notes" TEXT)
| how many awards has he been nominated for and not won ? | SELECT COUNT("award") FROM table_203_191 WHERE "result" = 'nominated' | SELECT COUNT("award") FROM "table_203_191" WHERE "result" = 'nominated' | 0.069336 |
CREATE TABLE table_55550 ("Date" TEXT, "Competition" TEXT, "Venue" TEXT, "Result" TEXT, "Score" TEXT, "Goals" TEXT)
| Which venue has h.paul 8/9 goals? | SELECT "Venue" FROM table_55550 WHERE "Goals" = 'h.paul 8/9' | SELECT "Venue" FROM "table_55550" WHERE "Goals" = 'h.paul 8/9' | 0.060547 |
CREATE TABLE table_70604 ("Rider" TEXT, "Manufacturer" TEXT, "Laps" FLOAT, "Time/Retired" TEXT, "Grid" FLOAT)
| Name the laps for suzuki and time/retired of +1:02.804 | SELECT "Laps" FROM table_70604 WHERE "Manufacturer" = 'suzuki' AND "Time/Retired" = '+1:02.804' | SELECT "Laps" FROM "table_70604" WHERE "Manufacturer" = 'suzuki' AND "Time/Retired" = '+1:02.804' | 0.094727 |
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)
| Give me the comparison about Team_ID over the All_Neutral by a bar chart, and display by the Y-axis in ascending. | SELECT All_Neutral, Team_ID FROM basketball_match ORDER BY Team_ID | SELECT "All_Neutral", "Team_ID" FROM "basketball_match" ORDER BY "Team_ID" NULLS FIRST | 0.083984 |
CREATE TABLE table_43428 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Attendance" FLOAT)
| What date did Week 9 begin? | SELECT "Date" FROM table_43428 WHERE "Week" = '9' | SELECT "Date" FROM "table_43428" WHERE "Week" = '9' | 0.049805 |
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
| What are the number of the names of all products?, I want to sort Name in descending order. | SELECT Name, COUNT(Name) FROM Products GROUP BY Name ORDER BY Name DESC | SELECT "Name", COUNT("Name") FROM "Products" GROUP BY "Name" ORDER BY "Name" DESC NULLS LAST | 0.089844 |
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount 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 PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId 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 SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
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 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 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 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 PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
| How many comments I have posted?. | SELECT COUNT(Id) AS TotalCount FROM Comments WHERE UserId = '##UserId##' | SELECT COUNT("Id") AS "TotalCount" FROM "Comments" WHERE "UserId" = '##UserId##' | 0.078125 |
CREATE TABLE table_name_35 (team VARCHAR, driver VARCHAR)
| What team does jan heylen race for? | SELECT team FROM table_name_35 WHERE driver = "jan heylen" | SELECT "team" FROM "table_name_35" WHERE "driver" = "jan heylen" | 0.0625 |
CREATE TABLE table_24627 ("Year" FLOAT, "Starts" FLOAT, "Wins" FLOAT, "Top 5" FLOAT, "Top 10" FLOAT, "Poles" FLOAT, "Avg. Start" TEXT, "Avg. Finish" TEXT, "Winnings" TEXT, "Position" TEXT, "Team ( s ) " TEXT)
| Name the number of years for 18.5 | SELECT COUNT("Year") FROM table_24627 WHERE "Avg. Finish" = '18.5' | SELECT COUNT("Year") FROM "table_24627" WHERE "Avg. Finish" = '18.5' | 0.066406 |
CREATE TABLE table_name_90 (tournament VARCHAR, score VARCHAR)
| What tournament had a Score of 6 3, 2 6, [10 8]? | SELECT tournament FROM table_name_90 WHERE score = "6–3, 2–6, [10–8]" | SELECT "tournament" FROM "table_name_90" WHERE "6–3, 2–6, [10–8]" = "score" | 0.073242 |
CREATE TABLE table_23915973_1 (power_kw VARCHAR, frequency VARCHAR)
| How many power kw have a frequency of 93.7 mhz? | SELECT COUNT(power_kw) FROM table_23915973_1 WHERE frequency = "93.7 MHz" | SELECT COUNT("power_kw") FROM "table_23915973_1" WHERE "93.7 MHz" = "frequency" | 0.077148 |
CREATE TABLE table_72372 ("Country" TEXT, "Total Drivers" FLOAT, "Champions" TEXT, "Championships" TEXT, "Current September 22 , 2013" FLOAT, "First driver ( s ) " TEXT, "Last/Current driver ( s ) September 22 , 2013" TEXT)
| How many champions were there when the first driver was hiroki yoshimoto ( 2005 )? | SELECT "Champions" FROM table_72372 WHERE "First driver(s)" = 'Hiroki Yoshimoto ( 2005 )' | SELECT "Champions" FROM "table_72372" WHERE "First driver(s)" = 'Hiroki Yoshimoto ( 2005 )' | 0.088867 |
CREATE TABLE enzyme (id DECIMAL, name TEXT, location TEXT, product TEXT, chromosome TEXT, omim DECIMAL, porphyria TEXT)
CREATE TABLE medicine_enzyme_interaction (enzyme_id DECIMAL, medicine_id DECIMAL, interaction_type TEXT)
CREATE TABLE medicine (id DECIMAL, name TEXT, trade_name TEXT, fda_approved TEXT)
| How many enzymes do not have any interactions? | SELECT COUNT(*) FROM enzyme WHERE NOT id IN (SELECT enzyme_id FROM medicine_enzyme_interaction) | SELECT COUNT(*) FROM "enzyme" WHERE NOT "id" IN (SELECT "enzyme_id" FROM "medicine_enzyme_interaction") | 0.100586 |
CREATE TABLE table_17765264_1 (date VARCHAR, game_site VARCHAR)
| When did they play at the Cotton Bowl? | SELECT date FROM table_17765264_1 WHERE game_site = "Cotton Bowl" | SELECT "date" FROM "table_17765264_1" WHERE "Cotton Bowl" = "game_site" | 0.069336 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what is minimum age of patients whose gender is f and admission type is newborn? | SELECT MIN(demographic.age) FROM demographic WHERE demographic.gender = "F" AND demographic.admission_type = "NEWBORN" | SELECT MIN("demographic"."age") FROM "demographic" WHERE "F" = "demographic"."gender" AND "NEWBORN" = "demographic"."admission_type" | 0.128906 |
CREATE TABLE table_name_29 (points INT, opponent VARCHAR, game VARCHAR)
| What is the total Points for the Opponent of @ New Jersey Devils and a Game bigger than 7? | SELECT SUM(points) FROM table_name_29 WHERE opponent = "@ new jersey devils" AND game > 7 | SELECT SUM("points") FROM "table_name_29" WHERE "@ new jersey devils" = "opponent" AND "game" > 7 | 0.094727 |
CREATE TABLE table_17601 ("Rank" FLOAT, "Fastest time ( s ) " TEXT, "Wind ( m/s ) " TEXT, "Athlete" TEXT, "Nation" TEXT, "Date" TEXT, "Location" TEXT)
| Nigeria had the fastest time once. | SELECT COUNT("Fastest time (s)") FROM table_17601 WHERE "Nation" = 'Nigeria' | SELECT COUNT("Fastest time (s)") FROM "table_17601" WHERE "Nation" = 'Nigeria' | 0.076172 |
CREATE TABLE table_name_90 (driver VARCHAR, engine VARCHAR, date VARCHAR)
| Who is the Driver, when the Engine is Chevrolet, and when the Date is October 3? | SELECT driver FROM table_name_90 WHERE engine = "chevrolet" AND date = "october 3" | SELECT "driver" FROM "table_name_90" WHERE "chevrolet" = "engine" AND "date" = "october 3" | 0.087891 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| How many patients who are of the catholic religion tested with lab item id 50912? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.religion = "CATHOLIC" AND lab.itemid = "50912" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "50912" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "CATHOLIC" = "demographic"."religion" | 0.192383 |
CREATE TABLE table_16855 ("Player" TEXT, "No." FLOAT, "Nationality" TEXT, "Position" TEXT, "Years for Jazz" TEXT, "School/Club Team" TEXT)
| What position did the player from maynard evans hs play | SELECT "Position" FROM table_16855 WHERE "School/Club Team" = 'Maynard Evans HS' | SELECT "Position" FROM "table_16855" WHERE "School/Club Team" = 'Maynard Evans HS' | 0.080078 |
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 days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE 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 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 time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description 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 compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE 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 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 equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
| i would like a flight from PHILADELPHIA to DALLAS | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PHILADELPHIA' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DALLAS' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = '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 "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'DALLAS' | 0.498047 |
CREATE TABLE table_name_55 (name VARCHAR, nationality VARCHAR, rank VARCHAR, lane VARCHAR)
| Which one has a rank bigger than 2, lane of 1, and is from Hong Kong? | SELECT name FROM table_name_55 WHERE rank > 2 AND lane = 1 AND nationality = "hong kong" | SELECT "name" FROM "table_name_55" WHERE "hong kong" = "nationality" AND "lane" = 1 AND "rank" > 2 | 0.095703 |
CREATE TABLE table_79971 ("Rank" FLOAT, "Mine" TEXT, "County" TEXT, "Operator" TEXT, "Source of copper" TEXT, "2012 Cu Production ( lbs ) " FLOAT)
| Which operator has a rank of 7? | SELECT "Operator" FROM table_79971 WHERE "Rank" = '7' | SELECT "Operator" FROM "table_79971" WHERE "Rank" = '7' | 0.053711 |
CREATE TABLE table_name_53 (away_team VARCHAR, venue VARCHAR)
| What was the away team when the game was at corio oval? | SELECT away_team FROM table_name_53 WHERE venue = "corio oval" | SELECT "away_team" FROM "table_name_53" WHERE "corio oval" = "venue" | 0.066406 |
CREATE TABLE table_47562 ("Malayalam" TEXT, "\\u0d2e\\u0d32\\u0d2f\\u0d3e\\u0d33\\u0d02" TEXT, "English" TEXT, "Kannada" TEXT, "Tamil" TEXT, "Hindi" TEXT)
| WHAT TAMIL HAS Kannada of budhavara? | SELECT "Tamil" FROM table_47562 WHERE "Kannada" = 'budhavara' | SELECT "Tamil" FROM "table_47562" WHERE "Kannada" = 'budhavara' | 0.061523 |
CREATE TABLE table_53241 ("Date" TEXT, "Opponent" TEXT, "Home/Away" TEXT, "Field" TEXT, "Result" TEXT)
| What is the result of the game at Bishop Kearney Field on August 2? | SELECT "Result" FROM table_53241 WHERE "Field" = 'bishop kearney field' AND "Date" = 'august 2' | SELECT "Result" FROM "table_53241" WHERE "Date" = 'august 2' AND "Field" = 'bishop kearney field' | 0.094727 |
CREATE TABLE table_18600760_18 (township VARCHAR, longitude VARCHAR)
| What is the township at longitude -100.680772? | SELECT township FROM table_18600760_18 WHERE longitude = "-100.680772" | SELECT "township" FROM "table_18600760_18" WHERE "-100.680772" = "longitude" | 0.074219 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE 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 procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| count the number of patients whose ethnicity is white - russian and admission year is less than 2148? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "WHITE - RUSSIAN" AND demographic.admityear < "2148" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2148" > "demographic"."admityear" AND "WHITE - RUSSIAN" = "demographic"."ethnicity" | 0.155273 |
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)
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)
| how many patients whose insurance is medicare and admission year is less than 2154? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.insurance = "Medicare" AND demographic.admityear < "2154" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2154" > "demographic"."admityear" AND "Medicare" = "demographic"."insurance" | 0.148438 |
CREATE TABLE table_49201 ("Player" TEXT, "Nationality" TEXT, "Jersey Number ( s ) " TEXT, "Position" TEXT, "Years" TEXT, "From" TEXT)
| What are the Jersey numbers for Notre Dame? | SELECT "Jersey Number(s)" FROM table_49201 WHERE "From" = 'notre dame' | SELECT "Jersey Number(s)" FROM "table_49201" WHERE "From" = 'notre dame' | 0.070313 |
CREATE TABLE table_name_19 (season INT, bachelor VARCHAR)
| What season had bachelor Byron Velvick? | SELECT MIN(season) FROM table_name_19 WHERE bachelor = "byron velvick" | SELECT MIN("season") FROM "table_name_19" WHERE "bachelor" = "byron velvick" | 0.074219 |
CREATE TABLE table_train_254 ("id" INT, "gender" TEXT, "systolic_blood_pressure_sbp" INT, "heart_disease" BOOLEAN, "hgba1c" FLOAT, "renal_disease" BOOLEAN, "creatinine_clearance_cl" FLOAT, "diastolic_blood_pressure_dbp" INT, "diabetes" BOOLEAN, "hypertension" BOOLEAN, "fasting_glucose" INT, "NOUSE" FLOAT)
| any diabetic subject with a hgba1c level of < 7 % or > 11 % | SELECT * FROM table_train_254 WHERE diabetes = 1 AND (hgba1c < 7 OR hgba1c > 11) | SELECT * FROM "table_train_254" WHERE "diabetes" = 1 AND ("hgba1c" < 7 OR "hgba1c" > 11) | 0.085938 |
CREATE TABLE table_name_88 (region VARCHAR, catalog VARCHAR)
| What region is the ALCA-272 Catalog? | SELECT region FROM table_name_88 WHERE catalog = "alca-272" | SELECT "region" FROM "table_name_88" WHERE "alca-272" = "catalog" | 0.063477 |
CREATE TABLE region (Region_id INT, Region_code TEXT, Region_name TEXT)
CREATE TABLE storm (Storm_ID INT, Name TEXT, Dates_active TEXT, Max_speed INT, Damage_millions_USD FLOAT, Number_Deaths INT)
CREATE TABLE affected_region (Region_id INT, Storm_ID INT, Number_city_affected FLOAT)
| List the name for storms and the number of affected regions for each storm. Plot them as pie chart. | SELECT Name, COUNT(*) FROM storm AS T1 JOIN affected_region AS T2 ON T1.Storm_ID = T2.Storm_ID GROUP BY T1.Storm_ID | SELECT "Name", COUNT(*) FROM "storm" AS "T1" JOIN "affected_region" AS "T2" ON "T1"."Storm_ID" = "T2"."Storm_ID" GROUP BY "T1"."Storm_ID" | 0.133789 |
CREATE TABLE table_203_791 (id DECIMAL, "represented" TEXT, "contestant" TEXT, "age" DECIMAL, "height" TEXT, "hometown" TEXT)
| who was the only 17 year old delegate ? | SELECT "contestant" FROM table_203_791 WHERE "age" = 17 | SELECT "contestant" FROM "table_203_791" WHERE "age" = 17 | 0.055664 |
CREATE TABLE table_71628 ("Rank" FLOAT, "Nation" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| How many ranks are for Switzerland with more than 2 total medals? | SELECT COUNT("Rank") FROM table_71628 WHERE "Nation" = 'switzerland' AND "Total" > '2' | SELECT COUNT("Rank") FROM "table_71628" WHERE "Nation" = 'switzerland' AND "Total" > '2' | 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 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)
| give me the number of patients whose insurance is private and procedure long title is parenteral infusion of concentrated nutritional substances? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Private" AND procedures.long_title = "Parenteral infusion of concentrated nutritional substances" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Parenteral infusion of concentrated nutritional substances" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "Private" = "demographic"."insurance" | 0.268555 |
CREATE TABLE table_68748 ("Rank" FLOAT, "Heat" FLOAT, "Lane" FLOAT, "Name" TEXT, "Nationality" TEXT, "Time" TEXT)
| What is the time for Adi Bichman? | SELECT "Time" FROM table_68748 WHERE "Name" = 'adi bichman' | SELECT "Time" FROM "table_68748" WHERE "Name" = 'adi bichman' | 0.05957 |
CREATE TABLE table_74380 ("Team" TEXT, "Outgoing manager" TEXT, "Manner of departure" TEXT, "Date of vacancy" TEXT, "Position in table" TEXT, "Replaced by" TEXT, "Date of appointment" TEXT)
| What team hired Renato Ga cho? | SELECT "Team" FROM table_74380 WHERE "Replaced by" = 'Renato Gaúcho' | SELECT "Team" FROM "table_74380" WHERE "Replaced by" = 'Renato Gaúcho' | 0.068359 |
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID 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 jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
| For all employees who have the letters D or S in their first name, return a bar chart about the distribution of hire_date and the average of employee_id bin hire_date by weekday. | 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 table_72786 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Ground" TEXT, "Crowd" FLOAT, "Date" TEXT)
| On what date did the away team Fremantle play? | SELECT "Date" FROM table_72786 WHERE "Away team" = 'Fremantle' | SELECT "Date" FROM "table_72786" WHERE "Away team" = 'Fremantle' | 0.0625 |
CREATE TABLE table_58570 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| What was the attendance of the North Melbourne's home game? | SELECT COUNT("Crowd") FROM table_58570 WHERE "Home team" = 'north melbourne' | SELECT COUNT("Crowd") FROM "table_58570" WHERE "Home team" = 'north melbourne' | 0.076172 |
CREATE TABLE artist (Famous_Release_date VARCHAR)
| What are the distinct Famous release dates? | SELECT DISTINCT (Famous_Release_date) FROM artist | SELECT DISTINCT "Famous_Release_date" FROM "artist" | 0.049805 |
CREATE TABLE LOCATIONS (Address VARCHAR, Location_Name VARCHAR)
| What is the address of the location 'UK Gallery'? | SELECT Address FROM LOCATIONS WHERE Location_Name = "UK Gallery" | SELECT "Address" FROM "LOCATIONS" WHERE "Location_Name" = "UK Gallery" | 0.068359 |
CREATE TABLE table_23443 ("Season" FLOAT, "Timeslot ( EDT ) " TEXT, "Season Premiere" TEXT, "Season Finale" TEXT, "TV Season" TEXT, "Rank ( Spanish language ) " FLOAT, "Viewers ( in millions ) " TEXT)
| Name the total number of timeslot for august 9, 2007 finale | SELECT COUNT("Timeslot ( EDT )") FROM table_23443 WHERE "Season Finale" = 'August 9, 2007' | SELECT COUNT("Timeslot ( EDT )") FROM "table_23443" WHERE "Season Finale" = 'August 9, 2007' | 0.089844 |
CREATE TABLE Research_Staff (staff_id INT, employer_organisation_id INT, staff_details VARCHAR)
CREATE TABLE Document_Types (document_type_code VARCHAR, document_description VARCHAR)
CREATE TABLE Research_Outcomes (outcome_code VARCHAR, outcome_description VARCHAR)
CREATE TABLE Staff_Roles (role_code VARCHAR, role_description VARCHAR)
CREATE TABLE Project_Staff (staff_id DOUBLE, project_id INT, role_code VARCHAR, date_from DATETIME, date_to DATETIME, other_details VARCHAR)
CREATE TABLE Grants (grant_id INT, organisation_id INT, grant_amount DECIMAL, grant_start_date DATETIME, grant_end_date DATETIME, other_details VARCHAR)
CREATE TABLE Project_Outcomes (project_id INT, outcome_code VARCHAR, outcome_details VARCHAR)
CREATE TABLE Tasks (task_id INT, project_id INT, task_details VARCHAR, "eg Agree Objectives" VARCHAR)
CREATE TABLE Organisation_Types (organisation_type VARCHAR, organisation_type_description VARCHAR)
CREATE TABLE Organisations (organisation_id INT, organisation_type VARCHAR, organisation_details VARCHAR)
CREATE TABLE Projects (project_id INT, organisation_id INT, project_details VARCHAR)
CREATE TABLE Documents (document_id INT, document_type_code VARCHAR, grant_id INT, sent_date DATETIME, response_received_date DATETIME, other_details VARCHAR)
| For all organizations that have grants of more than 6000 dollars, compare the number of details of the organizations with a bar chart, and I want to list by the bar in desc. | SELECT organisation_details, COUNT(organisation_details) FROM Grants AS T1 JOIN Organisations AS T2 ON T1.organisation_id = T2.organisation_id GROUP BY organisation_details ORDER BY organisation_details DESC | SELECT "organisation_details", COUNT("organisation_details") FROM "Grants" AS "T1" JOIN "Organisations" AS "T2" ON "T1"."organisation_id" = "T2"."organisation_id" GROUP BY "organisation_details" ORDER BY "organisation_details" DESC NULLS LAST | 0.236328 |
CREATE TABLE table_61892 ("Week 1" TEXT, "Week 2" TEXT, "Week 3" TEXT, "Week 4" TEXT, "Week 5" TEXT)
| What is the name of the cyber girl in week 4 when Lexi Lombardelli was the cyber girl in week 2? | SELECT "Week 4" FROM table_61892 WHERE "Week 2" = 'lexi lombardelli' | SELECT "Week 4" FROM "table_61892" WHERE "Week 2" = 'lexi lombardelli' | 0.068359 |
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)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| count the number of patients whose primary disease is hypertension;rule out coronary artery disease\cardiac cath and drug route is sc? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.diagnosis = "HYPERTENSION;RULE OUT CORONARY ARTERY DISEASE\CARDIAC CATH" AND prescriptions.route = "SC" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "SC" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "HYPERTENSION;RULE OUT CORONARY ARTERY DISEASE\CARDIAC CATH" = "demographic"."diagnosis" | 0.267578 |
CREATE TABLE table_name_36 (played_in VARCHAR, matches VARCHAR)
| Where were 16 matches played? | SELECT played_in FROM table_name_36 WHERE matches = "16" | SELECT "played_in" FROM "table_name_36" WHERE "16" = "matches" | 0.060547 |
CREATE TABLE table_63662 ("Name" TEXT, "Height" TEXT, "Weight" TEXT, "Spike" TEXT, "2008 club" TEXT)
| What is the weight for Iraklis in 2008? | SELECT "Weight" FROM table_63662 WHERE "2008 club" = 'iraklis' | SELECT "Weight" FROM "table_63662" WHERE "2008 club" = 'iraklis' | 0.0625 |
CREATE TABLE table_69289 ("D 41" TEXT, "D 42" TEXT, "D 43" TEXT, "D 44" TEXT, "D 45" TEXT, "D 46" TEXT, "D 47" TEXT, "D 48" TEXT)
| What is the D44 when D41 is D 16? | SELECT "D 44" FROM table_69289 WHERE "D 41" = 'd 16' | SELECT "D 44" FROM "table_69289" WHERE "D 41" = 'd 16' | 0.052734 |
CREATE TABLE table_52854 ("Station Number" TEXT, "District" TEXT, "Location" TEXT, "Type" TEXT, "Appliances" TEXT, "Registrations" TEXT)
| What is the type of the station with a 1 wrl appliance in Linton? | SELECT "Type" FROM table_52854 WHERE "Appliances" = '1 wrl' AND "Location" = 'linton' | SELECT "Type" FROM "table_52854" WHERE "Appliances" = '1 wrl' AND "Location" = 'linton' | 0.084961 |
CREATE TABLE table_12888 ("Engine" TEXT, "Cyl." TEXT, "Power" TEXT, "Torque" TEXT, "Engine code" TEXT, "0\\u2013100km/h ( sec. ) " TEXT)
| How much torque does the engine that has a 10.9 0-100km/h (sec) rating have? | SELECT "Torque" FROM table_12888 WHERE "0\u2013100km/h (sec.)" = '10.9' | SELECT "Torque" FROM "table_12888" WHERE "0\u2013100km/h (sec.)" = '10.9' | 0.071289 |
CREATE TABLE table_1965650_3 (position VARCHAR, nhl_team VARCHAR)
| Name the position for nhl team being los angeles kings | SELECT position FROM table_1965650_3 WHERE nhl_team = "Los Angeles Kings" | SELECT "position" FROM "table_1965650_3" WHERE "Los Angeles Kings" = "nhl_team" | 0.077148 |
CREATE TABLE table_43197 ("Year" FLOAT, "Winner" TEXT, "Jockey" TEXT, "Trainer" TEXT, "Owner" TEXT, "Distance ( Miles ) " TEXT, "Time" TEXT, "Purse" TEXT)
| In what Year was the Purse $150,000 with a Time of 1:49.00? | SELECT MIN("Year") FROM table_43197 WHERE "Purse" = '$150,000' AND "Time" = '1:49.00' | SELECT MIN("Year") FROM "table_43197" WHERE "Purse" = '$150,000' AND "Time" = '1:49.00' | 0.084961 |
CREATE TABLE table_204_170 (id DECIMAL, "player" TEXT, "position" TEXT, "games\ started" TEXT, "hometown" TEXT, "height" TEXT, "weight" DECIMAL, "age" DECIMAL)
| james bland catlett and john maulbetsch played which position in common ? | SELECT "position" FROM table_204_170 WHERE "player" = 'james bland catlett' | SELECT "position" FROM "table_204_170" WHERE "player" = 'james bland catlett' | 0.075195 |
CREATE TABLE table_name_67 (label VARCHAR, region VARCHAR, format VARCHAR)
| Which Label has a Region of united states, and a Format of lp album? | SELECT label FROM table_name_67 WHERE region = "united states" AND format = "lp album" | SELECT "label" FROM "table_name_67" WHERE "format" = "lp album" AND "region" = "united states" | 0.091797 |
CREATE TABLE table_17533 ("Number" FLOAT, "Name" TEXT, "Titles" TEXT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Defenses" FLOAT)
| What is the name of the title winner in the ring light heavyweight (175) division? | SELECT "Name" FROM table_17533 WHERE "Titles" = 'The Ring Light heavyweight (175)' | SELECT "Name" FROM "table_17533" WHERE "Titles" = 'The Ring Light heavyweight (175)' | 0.082031 |
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)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
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)
| For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, draw a bar chart about the distribution of hire_date and the average of manager_id bin hire_date by weekday, and I want to order from low to high by the y axis. | SELECT HIRE_DATE, AVG(MANAGER_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 ORDER BY AVG(MANAGER_ID) | SELECT "HIRE_DATE", AVG("MANAGER_ID") FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) ORDER BY AVG("MANAGER_ID") NULLS FIRST | 0.244141 |
CREATE TABLE Has_amenity (dormid INT, amenid INT)
CREATE TABLE Lives_in (stuid INT, dormid INT, room_number INT)
CREATE TABLE Dorm_amenity (amenid INT, amenity_name VARCHAR)
CREATE TABLE Student (StuID INT, LName VARCHAR, Fname VARCHAR, Age INT, Sex VARCHAR, Major INT, Advisor INT, city_code VARCHAR)
CREATE TABLE Dorm (dormid INT, dorm_name VARCHAR, student_capacity INT, gender VARCHAR)
| Find the oldest age for students with different sex in a bar chart, and I want to list y-axis from high to low order. | SELECT Sex, MAX(Age) FROM Student GROUP BY Sex ORDER BY MAX(Age) DESC | SELECT "Sex", MAX("Age") FROM "Student" GROUP BY "Sex" ORDER BY MAX("Age") DESC NULLS LAST | 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 diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE 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 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 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)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
| since 09/11/2104, list the monthly maximum respiration of patient 021-131895. | SELECT MAX(vitalperiodic.respiration) FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '021-131895')) AND NOT vitalperiodic.respiration IS NULL AND STRFTIME('%y-%m-%d', vitalperiodic.observationtime) >= '2104-09-11' GROUP BY STRFTIME('%y-%m', vitalperiodic.observationtime) | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '021-131895' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT MAX("vitalperiodic"."respiration") FROM "vitalperiodic" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."respiration" IS NULL AND STRFTIME('%y-%m-%d', "vitalperiodic"."observationtime") >= '2104-09-11' GROUP BY STRFTIME('%y-%m', "vitalperiodic"."observationtime") | 0.694336 |
CREATE TABLE table_64894 ("Size" TEXT, "Density" TEXT, "Tracks" FLOAT, "Coercivity" TEXT, "Unformatted capacity per side" TEXT)
| How many tracks have a single density? | SELECT COUNT("Tracks") FROM table_64894 WHERE "Density" = 'single' | SELECT COUNT("Tracks") FROM "table_64894" WHERE "Density" = 'single' | 0.066406 |
CREATE TABLE table_204_400 (id DECIMAL, "district" DECIMAL, "senator" TEXT, "party" TEXT, "caucus" TEXT, "first elected" DECIMAL, "counties represented" TEXT)
| how many republicans were elected after 2000 ? | SELECT COUNT(*) FROM table_204_400 WHERE "party" = 'republican' AND "first elected" > 2000 | SELECT COUNT(*) FROM "table_204_400" WHERE "first elected" > 2000 AND "party" = 'republican' | 0.089844 |
CREATE TABLE Player (weight INT)
| What is the maximum and minimum height of all players? | SELECT MAX(weight), MIN(weight) FROM Player | SELECT MAX("weight"), MIN("weight") FROM "Player" | 0.047852 |
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 days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE 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 dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE flight_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 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_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type 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 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 month (month_number INT, month_name TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare 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)
| what ground transportation is there in ATLANTA | SELECT DISTINCT ground_service.transport_type FROM city, ground_service WHERE city.city_name = 'ATLANTA' 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" = 'ATLANTA' | 0.168945 |
CREATE TABLE table_name_94 (finish VARCHAR, player VARCHAR)
| Name the finish for lee janzen | SELECT finish FROM table_name_94 WHERE player = "lee janzen" | SELECT "finish" FROM "table_name_94" WHERE "lee janzen" = "player" | 0.064453 |
CREATE TABLE table_32459 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| What is the average crowd size when the home side scores 4.10 (34)? | SELECT "Crowd" FROM table_32459 WHERE "Home team score" = '4.10 (34)' | SELECT "Crowd" FROM "table_32459" WHERE "Home team score" = '4.10 (34)' | 0.069336 |
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_interval (period TEXT, begin_time INT, end_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 compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE days (days_code VARCHAR, day_name 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 code_description (code VARCHAR, description TEXT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE 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 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 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 month (month_number INT, month_name TEXT)
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 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 flight_leg (flight_id INT, leg_number INT, leg_flight 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 city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
| CHICAGO to SAN FRANCISCO on CO | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'SAN FRANCISCO' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'CHICAGO' AND flight.to_airport = AIRPORT_SERVICE_0.airport_code AND flight.from_airport = AIRPORT_SERVICE_1.airport_code) AND flight.airline_code = 'CO' | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'SAN FRANCISCO' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."to_airport" AND "flight"."airline_code" = 'CO' JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."from_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'CHICAGO' | 0.53418 |
CREATE TABLE table_67624 ("Year" FLOAT, "Chassis" TEXT, "Engine ( s ) " TEXT, "Tyres" TEXT, "Points" FLOAT)
| What are the average points with a Chassis of zakspeed 881? | SELECT AVG("Points") FROM table_67624 WHERE "Chassis" = 'zakspeed 881' | SELECT AVG("Points") FROM "table_67624" WHERE "Chassis" = 'zakspeed 881' | 0.070313 |
CREATE TABLE table_72110 ("Rd" FLOAT, "Name" TEXT, "Pole Position" TEXT, "Fastest Lap" TEXT, "Winning driver" TEXT, "Winning team" TEXT, "Report" TEXT)
| Which Rd took place at the Indianapolis 500? | SELECT "Rd" FROM table_72110 WHERE "Name" = 'Indianapolis 500' | SELECT "Rd" FROM "table_72110" WHERE "Name" = 'Indianapolis 500' | 0.0625 |
CREATE TABLE table_name_18 (authority VARCHAR, roll VARCHAR)
| Which authority had a role of 651? | SELECT authority FROM table_name_18 WHERE roll = 651 | SELECT "authority" FROM "table_name_18" WHERE "roll" = 651 | 0.056641 |
CREATE TABLE table_27412 ("Country" TEXT, "Skip" TEXT, "W" FLOAT, "L" FLOAT, "PF" FLOAT, "PA" FLOAT, "Ends Won" FLOAT, "Ends Lost" FLOAT, "Blank Ends" FLOAT, "Stolen Ends" FLOAT, "Shot %" FLOAT)
| Name the stolen ends for germany | SELECT MIN("Stolen Ends") FROM table_27412 WHERE "Country" = 'Germany' | SELECT MIN("Stolen Ends") FROM "table_27412" WHERE "Country" = 'Germany' | 0.070313 |
CREATE TABLE table_35721 ("Result" TEXT, "Date" TEXT, "Race" TEXT, "Venue" TEXT, "Group" TEXT, "Distance" TEXT, "Weight ( kg ) " FLOAT, "Jockey" TEXT, "Winner/2nd" TEXT)
| What was the race of the jockey in na group in 4th place? | SELECT "Race" FROM table_35721 WHERE "Group" = 'na' AND "Result" = '4th' | SELECT "Race" FROM "table_35721" WHERE "Group" = 'na' AND "Result" = '4th' | 0.072266 |
CREATE TABLE table_5643 ("Gatchaman" TEXT, "Battle of the Planets" TEXT, "G-Force" TEXT, "Eagle Riders" TEXT, "OVA ( Harmony Gold Dub ) " TEXT, "Rank" TEXT, "Bird Uniform" TEXT, "Weapon" TEXT, "Mecha" TEXT, "Japanese voice actor" TEXT, "Voice actor ( BOTP ) " TEXT, "Voice actor ( G-Force ) " TEXT, "Voice actor ( Harmony Gold OVA Dub ) " TEXT, "Voice actor ( Eagle Riders ) " TEXT, "Voice actor ( ADV TV/Sentai OVA dub ) " TEXT)
| What is the rank of the gatchaman Jinpei? | SELECT "Rank" FROM table_5643 WHERE "Gatchaman" = 'jinpei' | SELECT "Rank" FROM "table_5643" WHERE "Gatchaman" = 'jinpei' | 0.058594 |
CREATE TABLE table_64524 ("Position" FLOAT, "Name" TEXT, "Played" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Points" FLOAT)
| What is the average number of games drawn among the teams that lost over 13 games? | SELECT AVG("Drawn") FROM table_64524 WHERE "Lost" > '13' | SELECT AVG("Drawn") FROM "table_64524" WHERE "Lost" > '13' | 0.056641 |
CREATE TABLE table_22235 ("Location" TEXT, "Partner" TEXT, "Construction Start" TEXT, "Inauguration Date" TEXT, "Population Served" FLOAT, "Design flow ( LPM ) " FLOAT)
| Who's the partner at Tamara, Hon? | SELECT "Partner" FROM table_22235 WHERE "Location" = 'Tamara, HON' | SELECT "Partner" FROM "table_22235" WHERE "Location" = 'Tamara, HON' | 0.066406 |
CREATE TABLE documents_to_be_destroyed (document_id DECIMAL, destruction_authorised_by_employee_id DECIMAL, destroyed_by_employee_id DECIMAL, planned_destruction_date TIME, actual_destruction_date TIME, other_details TEXT)
CREATE TABLE employees (employee_id DECIMAL, role_code TEXT, employee_name TEXT, gender_mfu TEXT, date_of_birth TIME, other_details TEXT)
CREATE TABLE ref_locations (location_code TEXT, location_name TEXT, location_description TEXT)
CREATE TABLE roles (role_code TEXT, role_name TEXT, role_description TEXT)
CREATE TABLE document_locations (document_id DECIMAL, location_code TEXT, date_in_location_from TIME, date_in_locaton_to TIME)
CREATE TABLE ref_document_types (document_type_code TEXT, document_type_name TEXT, document_type_description TEXT)
CREATE TABLE ref_calendar (calendar_date TIME, day_number DECIMAL)
CREATE TABLE all_documents (document_id DECIMAL, date_stored TIME, document_type_code TEXT, document_name TEXT, document_description TEXT, other_details TEXT)
| Count the number of all the calendar items. | SELECT COUNT(*) FROM ref_calendar | SELECT COUNT(*) FROM "ref_calendar" | 0.03418 |
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 departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
| For those employees who do not work in departments with managers that have ids between 100 and 200, show me about the distribution of phone_number and department_id in a bar chart, and I want to sort from high to low by the Y-axis. | SELECT PHONE_NUMBER, DEPARTMENT_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY DEPARTMENT_ID DESC | SELECT "PHONE_NUMBER", "DEPARTMENT_ID" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "DEPARTMENT_ID" DESC NULLS LAST | 0.213867 |
CREATE TABLE table_60173 ("Shooter" TEXT, "Event" TEXT, "Rank points" TEXT, "Score points" TEXT, "Total" TEXT)
| What is Score Points, when Event is 'WC Rio De Janeiro', and when Rank Points is '10'? | SELECT "Score points" FROM table_60173 WHERE "Event" = 'wc rio de janeiro' AND "Rank points" = '10' | SELECT "Score points" FROM "table_60173" WHERE "Event" = 'wc rio de janeiro' AND "Rank points" = '10' | 0.098633 |
CREATE TABLE table_8890 ("Name" TEXT, "Country" TEXT, "Date of birth" TEXT, "Debut" TEXT, "Last match" TEXT, "Date of death" TEXT)
| When did Sydney Barnes debut in England? | SELECT "Debut" FROM table_8890 WHERE "Country" = 'england' AND "Name" = 'sydney barnes' | SELECT "Debut" FROM "table_8890" WHERE "Country" = 'england' AND "Name" = 'sydney barnes' | 0.086914 |
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