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CREATE TABLE table_14670060_1 (languages VARCHAR, call_sign VARCHAR)
| What languages are spoken when call sign XEJAM is used? | SELECT languages FROM table_14670060_1 WHERE call_sign = "XEJAM" | SELECT "languages" FROM "table_14670060_1" WHERE "XEJAM" = "call_sign" | 0.068359 |
CREATE TABLE table_name_94 (preliminaries INT, evening_gown VARCHAR)
| What is the lowest Preliminary score of a contestant that has an Evening Gown score of 8.472? | SELECT MIN(preliminaries) FROM table_name_94 WHERE evening_gown = 8.472 | SELECT MIN("preliminaries") FROM "table_name_94" WHERE "evening_gown" = 8.472 | 0.075195 |
CREATE TABLE table_name_59 (season_number VARCHAR)
| Name the 2nd runner-up for season 7 | SELECT 2 AS nd_runner_up FROM table_name_59 WHERE season_number = "season 7" | SELECT 2 AS "nd_runner_up" FROM "table_name_59" WHERE "season 7" = "season_number" | 0.080078 |
CREATE TABLE table_name_72 (score VARCHAR, date VARCHAR)
| What is the score on 2 October 2011? | SELECT score FROM table_name_72 WHERE date = "2 october 2011" | SELECT "score" FROM "table_name_72" WHERE "2 october 2011" = "date" | 0.06543 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE 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)
| how many male patients had the admission location phys referral/normal deli? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "M" AND demographic.admission_location = "PHYS REFERRAL/NORMAL DELI" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "M" = "demographic"."gender" AND "PHYS REFERRAL/NORMAL DELI" = "demographic"."admission_location" | 0.167969 |
CREATE TABLE table_256286_13 (meas_num INT, description VARCHAR)
| When extending eminent domain over roads and ways is the description what is the highest means number? | SELECT MAX(meas_num) FROM table_256286_13 WHERE description = "Extending Eminent Domain Over Roads and Ways" | SELECT MAX("meas_num") FROM "table_256286_13" WHERE "Extending Eminent Domain Over Roads and Ways" = "description" | 0.111328 |
CREATE TABLE month (month_number INT, month_name TEXT)
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 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 dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_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 date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
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 time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id 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 city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE 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 compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
| FIRST class price SAN FRANCISCO PITTSBURGH round trip | SELECT DISTINCT fare.fare_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, fare_basis, flight, flight_fare WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'SAN FRANCISCO' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PITTSBURGH' AND NOT fare.round_trip_cost IS NULL AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND fare_basis.class_type = 'FIRST' AND fare.fare_basis_code = fare_basis.fare_basis_code | SELECT DISTINCT "fare"."fare_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'SAN FRANCISCO' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'PITTSBURGH' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" AND NOT "fare"."round_trip_cost" IS NULL JOIN "fare_basis" ON "fare"."fare_basis_code" = "fare_basis"."fare_basis_code" AND "fare_basis"."class_type" = 'FIRST' | 0.78125 |
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId 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 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 ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount 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 ReviewTaskTypes (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 Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
| Find questions solved by fixing typos. | SELECT a.Id AS "post_link", a.Body FROM Posts AS q INNER JOIN Posts AS a ON a.Id = q.AcceptedAnswerId WHERE LENGTH(a.Body) < 200 AND q.ClosedDate IS NULL AND (LOWER(a.Body) LIKE '%typo%' OR LOWER(a.Body) LIKE '%spelled wrong%' OR LOWER(a.Body) LIKE '%spelled incorrectly%') | SELECT "a"."Id" AS "post_link", "a"."Body" FROM "Posts" AS "q" JOIN "Posts" AS "a" ON "a"."Id" = "q"."AcceptedAnswerId" AND LENGTH("a"."Body") < 200 AND (LOWER("a"."Body") LIKE '%spelled incorrectly%' OR LOWER("a"."Body") LIKE '%spelled wrong%' OR LOWER("a"."Body") LIKE '%typo%') WHERE "q"."ClosedDate" IS NULL | 0.303711 |
CREATE TABLE table_name_91 (role VARCHAR, year VARCHAR)
| What was the role in 2001? | SELECT role FROM table_name_91 WHERE year = "2001" | SELECT "role" FROM "table_name_91" WHERE "2001" = "year" | 0.054688 |
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 lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime 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 diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
| how much does it cost to take a drug called gabapentin 300 mg cap? | SELECT DISTINCT cost.cost FROM cost WHERE cost.eventtype = 'medication' AND cost.eventid IN (SELECT medication.medicationid FROM medication WHERE medication.drugname = 'gabapentin 300 mg cap') | WITH "_u_0" AS (SELECT "medication"."medicationid" FROM "medication" WHERE "medication"."drugname" = 'gabapentin 300 mg cap' GROUP BY "medicationid") SELECT DISTINCT "cost"."cost" FROM "cost" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "cost"."eventid" WHERE "cost"."eventtype" = 'medication' AND NOT "_u_0"."" IS NULL | 0.308594 |
CREATE TABLE table_37575 ("Rank" FLOAT, "Player" TEXT, "Country" TEXT, "Earnings ( $ ) " FLOAT, "Wins" FLOAT)
| What is the highest earnings of a player with more than 19 wins? | SELECT MAX("Earnings ( $ )") FROM table_37575 WHERE "Wins" > '19' | SELECT MAX("Earnings ( $ )") FROM "table_37575" WHERE "Wins" > '19' | 0.06543 |
CREATE TABLE table_name_7 (place VARCHAR, score VARCHAR)
| Which Place has a Score of 71-70=141? | SELECT place FROM table_name_7 WHERE score = 71 - 70 = 141 | SELECT "place" FROM "table_name_7" WHERE "score" = FALSE | 0.054688 |
CREATE TABLE table_59783 ("Place" TEXT, "Player" TEXT, "Country" TEXT, "Score" FLOAT, "To par" TEXT)
| What is the to par of Tiger Woods, where his score was less than 67, and he was in t1 place? | SELECT "To par" FROM table_59783 WHERE "Score" < '67' AND "Place" = 't1' AND "Player" = 'tiger woods' | SELECT "To par" FROM "table_59783" WHERE "Place" = 't1' AND "Player" = 'tiger woods' AND "Score" < '67' | 0.100586 |
CREATE TABLE table_29135051_2 (singer_s_ VARCHAR, ratings VARCHAR)
| Name the singer for 1.45m | SELECT singer_s_ FROM table_29135051_2 WHERE ratings = "1.45m" | SELECT "singer_s_" FROM "table_29135051_2" WHERE "1.45m" = "ratings" | 0.066406 |
CREATE TABLE table_48472 ("Draw" FLOAT, "Artist" TEXT, "Song" TEXT, "Points" FLOAT, "Place" FLOAT)
| What is the draw number of the Artist Dav Mcnamara and a place bigger than 4? | SELECT COUNT("Draw") FROM table_48472 WHERE "Artist" = 'dav mcnamara' AND "Place" > '4' | SELECT COUNT("Draw") FROM "table_48472" WHERE "Artist" = 'dav mcnamara' AND "Place" > '4' | 0.086914 |
CREATE TABLE phone (Accreditation_type VARCHAR)
| Find the number of phones for each accreditation type. | SELECT Accreditation_type, COUNT(*) FROM phone GROUP BY Accreditation_type | SELECT "Accreditation_type", COUNT(*) FROM "phone" GROUP BY "Accreditation_type" | 0.078125 |
CREATE TABLE table_15187735_6 (segment_a VARCHAR, segment_c VARCHAR)
| What is the Segment A for when Segment C is s Sailboard? | SELECT segment_a FROM table_15187735_6 WHERE segment_c = "s Sailboard" | SELECT "segment_a" FROM "table_15187735_6" WHERE "s Sailboard" = "segment_c" | 0.074219 |
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE 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 medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
| for the first time in 03/this year, when was patient 021-79544 prescribed for lantus? | SELECT medication.drugstarttime FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '021-79544')) AND medication.drugname = 'lantus' AND DATETIME(medication.drugstarttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND STRFTIME('%m', medication.drugstarttime) = '03' ORDER BY medication.drugstarttime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '021-79544' 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 "medication"."drugstarttime" FROM "medication" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "medication"."patientunitstayid" WHERE "medication"."drugname" = 'lantus' AND DATETIME("medication"."drugstarttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_1"."" IS NULL AND STRFTIME('%m', "medication"."drugstarttime") = '03' ORDER BY "medication"."drugstarttime" NULLS FIRST LIMIT 1 | 0.763672 |
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_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 ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE 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_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 month (month_number INT, month_name TEXT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code 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 (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name 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 date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
| show me all the one way fares from TACOMA to MONTREAL | SELECT DISTINCT fare.fare_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, flight, flight_fare WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'TACOMA' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'MONTREAL' AND fare.round_trip_required = 'NO' AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code | SELECT DISTINCT "fare"."fare_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" = 'TACOMA' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'MONTREAL' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" AND "fare"."round_trip_required" = 'NO' | 0.655273 |
CREATE TABLE table_25861 ("Outcome" TEXT, "Year" FLOAT, "Championship" TEXT, "Surface" TEXT, "Opponent in the final" TEXT, "Score in the final" TEXT)
| Name the opponent in the final for 3 6, 1 6 | SELECT "Opponent in the final" FROM table_25861 WHERE "Score in the final" = '3β6, 1β6' | SELECT "Opponent in the final" FROM "table_25861" WHERE "Score in the final" = '3β6, 1β6' | 0.086914 |
CREATE TABLE table_10121127_1 (number_of_australians_involved VARCHAR, un_operation_title VARCHAR)
| How many Australians were in the UN commission on Korea? | SELECT COUNT(number_of_australians_involved) FROM table_10121127_1 WHERE un_operation_title = "UN Commission on Korea" | SELECT COUNT("number_of_australians_involved") FROM "table_10121127_1" WHERE "UN Commission on Korea" = "un_operation_title" | 0.121094 |
CREATE TABLE table_5839 ("Race" TEXT, "Length" TEXT, "Class" TEXT, "Circuit" TEXT, "Date" TEXT)
| Which circuit is on July 24? | SELECT "Circuit" FROM table_5839 WHERE "Date" = 'july 24' | SELECT "Circuit" FROM "table_5839" WHERE "Date" = 'july 24' | 0.057617 |
CREATE TABLE table_70952 ("D 47 +" TEXT, "D 46 +" TEXT, "D 45 +" TEXT, "D 44 +" TEXT, "D 43 O" TEXT, "D 42 O" TEXT, "D 41 \\u221a" TEXT, "D 40 \\u221a" TEXT)
| Name the D 45+ which has D 42 of r 14 | SELECT "D 45 +" FROM table_70952 WHERE "D 42 O" = 'r 14' | SELECT "D 45 +" FROM "table_70952" WHERE "D 42 O" = 'r 14' | 0.056641 |
CREATE TABLE table_name_20 (series VARCHAR, name VARCHAR)
| What series was Sam Evans on? | SELECT series FROM table_name_20 WHERE name = "sam evans" | SELECT "series" FROM "table_name_20" WHERE "name" = "sam evans" | 0.061523 |
CREATE TABLE list (LastName TEXT, FirstName TEXT, Grade INT, Classroom INT)
CREATE TABLE teachers (LastName TEXT, FirstName TEXT, Classroom INT)
| For each grade 0 classroom, report the total number of students. Visualize by scatter chart. | SELECT Classroom, COUNT(*) FROM list WHERE Grade = "0" GROUP BY Classroom | SELECT "Classroom", COUNT(*) FROM "list" WHERE "0" = "Grade" GROUP BY "Classroom" | 0.079102 |
CREATE TABLE furniture (num_of_component INT)
| How many furniture components are there in total? | SELECT SUM(num_of_component) FROM furniture | SELECT SUM("num_of_component") FROM "furniture" | 0.045898 |
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
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 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 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 allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
| has patient 028-45936 been prescribed medication in 2105? | 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 = '028-45936')) AND STRFTIME('%y', medication.drugstarttime) = '2105' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '028-45936' 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 NOT "_u_1"."" IS NULL AND STRFTIME('%y', "medication"."drugstarttime") = '2105' | 0.542969 |
CREATE TABLE table_28680 ("School" TEXT, "Record" TEXT, "Conference" TEXT, "Conf. record" TEXT, "Last app." FLOAT, "Seed" TEXT, "Round eliminated" TEXT, "Lost to ( Seed ) " TEXT)
| What seed was California? | SELECT "Seed" FROM table_28680 WHERE "School" = 'California' | SELECT "Seed" FROM "table_28680" WHERE "School" = 'California' | 0.060547 |
CREATE TABLE table_61471 ("Tie no" TEXT, "Home team" TEXT, "Score" TEXT, "Away team" TEXT, "Date" TEXT)
| Scunthorpe United as the home team has what tie number? | SELECT "Tie no" FROM table_61471 WHERE "Home team" = 'scunthorpe united' | SELECT "Tie no" FROM "table_61471" WHERE "Home team" = 'scunthorpe united' | 0.072266 |
CREATE TABLE table_203_761 (id DECIMAL, "pos" DECIMAL, "no" DECIMAL, "driver" TEXT, "team" TEXT, "laps" DECIMAL, "time/retired" TEXT, "grid" DECIMAL, "points" DECIMAL)
| which driver scored the top number of points ? | SELECT "driver" FROM table_203_761 ORDER BY "points" DESC LIMIT 1 | SELECT "driver" FROM "table_203_761" ORDER BY "points" DESC NULLS LAST LIMIT 1 | 0.076172 |
CREATE TABLE grapes (ID INT, Grape TEXT, Color TEXT)
CREATE TABLE wine (No INT, Grape TEXT, Winery TEXT, Appelation TEXT, State TEXT, Name TEXT, Year INT, Price INT, Score INT, Cases INT, Drink TEXT)
CREATE TABLE appellations (No INT, Appelation TEXT, County TEXT, State TEXT, Area TEXT, isAVA TEXT)
| Plot the number of county by grouped by county as a bar graph, display in descending by the x axis. | SELECT County, COUNT(County) FROM appellations GROUP BY County ORDER BY County DESC | SELECT "County", COUNT("County") FROM "appellations" GROUP BY "County" ORDER BY "County" DESC NULLS LAST | 0.101563 |
CREATE TABLE ENROLL (CLASS_CODE VARCHAR, STU_NUM INT, ENROLL_GRADE VARCHAR)
CREATE TABLE PROFESSOR (EMP_NUM INT, DEPT_CODE VARCHAR, PROF_OFFICE VARCHAR, PROF_EXTENSION VARCHAR, PROF_HIGH_DEGREE VARCHAR)
CREATE TABLE COURSE (CRS_CODE VARCHAR, DEPT_CODE VARCHAR, CRS_DESCRIPTION VARCHAR, CRS_CREDIT FLOAT)
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR, DEPT_NAME VARCHAR, SCHOOL_CODE VARCHAR, EMP_NUM INT, DEPT_ADDRESS VARCHAR, DEPT_EXTENSION VARCHAR)
CREATE TABLE EMPLOYEE (EMP_NUM INT, EMP_LNAME VARCHAR, EMP_FNAME VARCHAR, EMP_INITIAL VARCHAR, EMP_JOBCODE VARCHAR, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
CREATE TABLE CLASS (CLASS_CODE VARCHAR, CRS_CODE VARCHAR, CLASS_SECTION VARCHAR, CLASS_TIME VARCHAR, CLASS_ROOM VARCHAR, PROF_NUM INT)
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)
| Find the total number of hours have done for all students in each department Visualize by bar chart, could you list from high to low by the bars? | SELECT DEPT_CODE, SUM(STU_HRS) FROM STUDENT GROUP BY DEPT_CODE ORDER BY DEPT_CODE DESC | SELECT "DEPT_CODE", SUM("STU_HRS") FROM "STUDENT" GROUP BY "DEPT_CODE" ORDER BY "DEPT_CODE" DESC NULLS LAST | 0.104492 |
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 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)
| Out of total number of patients diagnosed with closed fracture of surgical neck of humerus, how many of them belonged to hispanic or latino or puertorican ethnic origin? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.ethnicity = "HISPANIC/LATINO - PUERTO RICAN" AND diagnoses.long_title = "Closed fracture of surgical neck of humerus" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Closed fracture of surgical neck of humerus" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "HISPANIC/LATINO - PUERTO RICAN" = "demographic"."ethnicity" | 0.273438 |
CREATE TABLE table_75854 ("House" TEXT, "Sign" TEXT, "Latin motto" TEXT, "Translation" TEXT, "Modern title of house" TEXT)
| Which sign has a modern house title of House of Partnerships? | SELECT "Sign" FROM table_75854 WHERE "Modern title of house" = 'house of partnerships' | SELECT "Sign" FROM "table_75854" WHERE "Modern title of house" = 'house of partnerships' | 0.085938 |
CREATE TABLE table_15780049_6 (score VARCHAR, date VARCHAR)
| What was the games score on January 11? | SELECT score FROM table_15780049_6 WHERE date = "January 11" | SELECT "score" FROM "table_15780049_6" WHERE "January 11" = "date" | 0.064453 |
CREATE TABLE table_name_2 (game_site VARCHAR, time___et__ VARCHAR)
| Where will the game at (ET) of 7:00 pm be at? | SELECT game_site FROM table_name_2 WHERE time___et__ = "7:00 pm" | SELECT "game_site" FROM "table_name_2" WHERE "7:00 pm" = "time___et__" | 0.068359 |
CREATE TABLE table_name_14 (event VARCHAR, date VARCHAR)
| What event was on 26 August 2005? | SELECT event FROM table_name_14 WHERE date = "26 august 2005" | SELECT "event" FROM "table_name_14" WHERE "26 august 2005" = "date" | 0.06543 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| count the number of patients admitted via phys referral/normal deli who were born before 2168. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "PHYS REFERRAL/NORMAL DELI" AND demographic.dob_year < "2168" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2168" > "demographic"."dob_year" AND "PHYS REFERRAL/NORMAL DELI" = "demographic"."admission_location" | 0.172852 |
CREATE TABLE directed_by (id INT, msid INT, did INT)
CREATE TABLE cast (id INT, msid INT, aid INT, role TEXT)
CREATE TABLE director (did INT, gender TEXT, name TEXT, nationality TEXT, birth_city TEXT, birth_year INT)
CREATE TABLE copyright (id INT, msid INT, cid INT)
CREATE TABLE made_by (id INT, msid INT, pid INT)
CREATE TABLE keyword (id INT, keyword TEXT)
CREATE TABLE producer (pid INT, gender TEXT, name TEXT, nationality TEXT, birth_city TEXT, birth_year INT)
CREATE TABLE tags (id INT, msid INT, kid INT)
CREATE TABLE movie (mid INT, title TEXT, release_year INT, title_aka TEXT, budget TEXT)
CREATE TABLE genre (gid INT, genre TEXT)
CREATE TABLE writer (wid INT, gender TEXT, name TEXT, nationality TEXT, birth_city TEXT, birth_year INT)
CREATE TABLE classification (id INT, msid INT, gid INT)
CREATE TABLE tv_series (sid INT, title TEXT, release_year INT, num_of_seasons INT, num_of_episodes INT, title_aka TEXT, budget TEXT)
CREATE TABLE actor (aid INT, gender TEXT, name TEXT, nationality TEXT, birth_city TEXT, birth_year INT)
CREATE TABLE written_by (id INT, msid INT, wid INT)
CREATE TABLE company (id INT, name TEXT, country_code VARCHAR)
| Find all the female actors from Austin | SELECT name FROM actor WHERE birth_city = 'Austin' AND gender = 'female' | SELECT "name" FROM "actor" WHERE "birth_city" = 'Austin' AND "gender" = 'female' | 0.078125 |
CREATE TABLE table_name_91 (bronze INT, rank INT)
| What is the lowest number of bronze medals for teams ranked below 13? | SELECT MIN(bronze) FROM table_name_91 WHERE rank > 13 | SELECT MIN("bronze") FROM "table_name_91" WHERE "rank" > 13 | 0.057617 |
CREATE TABLE table_27218002_1 (directed_by VARCHAR, originalairdate VARCHAR)
| Name who directed the air date of 12 july 2010 | SELECT directed_by FROM table_27218002_1 WHERE originalairdate = "12 July 2010" | SELECT "directed_by" FROM "table_27218002_1" WHERE "12 July 2010" = "originalairdate" | 0.083008 |
CREATE TABLE table_16729063_1 (pick__number INT, player VARCHAR)
| What draft pick was Chris Brewer? | SELECT MIN(pick__number) FROM table_16729063_1 WHERE player = "Chris Brewer" | SELECT MIN("pick__number") FROM "table_16729063_1" WHERE "Chris Brewer" = "player" | 0.080078 |
CREATE TABLE table_name_24 (score VARCHAR, year VARCHAR, winners VARCHAR, runners_up VARCHAR)
| What was Galatasaray score when when he won in 1990 and Trabzonspor was the runner-up? | SELECT score FROM table_name_24 WHERE winners = "galatasaray" AND runners_up = "trabzonspor" AND year = 1990 | SELECT "score" FROM "table_name_24" WHERE "galatasaray" = "winners" AND "runners_up" = "trabzonspor" AND "year" = 1990 | 0.115234 |
CREATE TABLE culture_company (company_name TEXT, type TEXT, incorporated_in TEXT, group_equity_shareholding DECIMAL, book_club_id TEXT, movie_id TEXT)
CREATE TABLE book_club (book_club_id DECIMAL, year DECIMAL, author_or_editor TEXT, book_title TEXT, publisher TEXT, category TEXT, result TEXT)
CREATE TABLE movie (movie_id DECIMAL, title TEXT, year DECIMAL, director TEXT, budget_million DECIMAL, gross_worldwide DECIMAL)
| What categories have two or more corresponding books that were made after 1989? | SELECT category FROM book_club WHERE year > 1989 GROUP BY category HAVING COUNT(*) >= 2 | SELECT "category" FROM "book_club" WHERE "year" > 1989 GROUP BY "category" HAVING COUNT(*) >= 2 | 0.092773 |
CREATE TABLE table_1057316_1 (wheel_arrangement___whyte_notation__ VARCHAR, operational_owner_s_ VARCHAR)
| How many wheels does the train owned by Texas and New Orleans Railroad #319 have? | SELECT COUNT(wheel_arrangement___whyte_notation__) FROM table_1057316_1 WHERE operational_owner_s_ = "Texas and New Orleans Railroad #319" | SELECT COUNT("wheel_arrangement___whyte_notation__") FROM "table_1057316_1" WHERE "Texas and New Orleans Railroad #319" = "operational_owner_s_" | 0.140625 |
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE 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 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 lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
| calculate the number of patients who have been prescribed zofran during this year. | SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE patient.patientunitstayid IN (SELECT medication.patientunitstayid FROM medication WHERE medication.drugname = 'zofran' AND DATETIME(medication.drugstarttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')) | WITH "_u_0" AS (SELECT "medication"."patientunitstayid" FROM "medication" WHERE "medication"."drugname" = 'zofran' AND DATETIME("medication"."drugstarttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY "patientunitstayid") SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patientunitstayid" WHERE NOT "_u_0"."" IS NULL | 0.40918 |
CREATE TABLE table_21883 ("Season" TEXT, "Date" TEXT, "Driver" TEXT, "Team" TEXT, "Chassis" TEXT, "Engine" TEXT, "Laps" TEXT, "Miles ( km ) " TEXT, "Race Time" TEXT, "Average Speed ( mph ) " TEXT, "Report" TEXT)
| When 169.182 is the average speed miles per hour what is the chassis? | SELECT "Chassis" FROM table_21883 WHERE "Average Speed (mph)" = '169.182' | SELECT "Chassis" FROM "table_21883" WHERE "Average Speed (mph)" = '169.182' | 0.073242 |
CREATE TABLE endowment (endowment_id INT, School_id INT, donator_name TEXT, amount FLOAT)
CREATE TABLE School (School_id TEXT, School_name TEXT, Location TEXT, Mascot TEXT, Enrollment INT, IHSAA_Class TEXT, IHSAA_Football_Class TEXT, County TEXT)
CREATE TABLE budget (School_id INT, Year INT, Budgeted INT, total_budget_percent_budgeted FLOAT, Invested INT, total_budget_percent_invested FLOAT, Budget_invested_percent TEXT)
| List each donator name and the amount of endowment in descending order of the amount of endowment. Plot them as bar chart. | SELECT donator_name, SUM(amount) FROM endowment GROUP BY donator_name ORDER BY SUM(amount) DESC | SELECT "donator_name", SUM("amount") FROM "endowment" GROUP BY "donator_name" ORDER BY SUM("amount") DESC NULLS LAST | 0.113281 |
CREATE TABLE table_204_400 (id DECIMAL, "district" DECIMAL, "senator" TEXT, "party" TEXT, "caucus" TEXT, "first elected" DECIMAL, "counties represented" TEXT)
| have at least 5 democrats from brooklyn been elected ? | SELECT (SELECT COUNT(*) FROM table_204_400 WHERE "party" = 'democratic' AND "counties represented" = 'brooklyn') >= 5 | WITH "_u_0" AS (SELECT COUNT(*), 'democratic' AS "_u_1", 'brooklyn' AS "_u_2" FROM "table_204_400" GROUP BY 'democratic', 'brooklyn') SELECT COALESCE("_u_0"."", *) >= 5 LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."_u_1" = "party" AND "_u_0"."_u_2" = "counties represented" | 0.258789 |
CREATE TABLE table_name_57 (points_1 INT, goal_difference VARCHAR, drawn VARCHAR, goals_against VARCHAR, lost VARCHAR)
| What is the most points 1 when the goals against are fewer than 97, lost less than 22, 9 draws and goal difference of +28? | SELECT MAX(points_1) FROM table_name_57 WHERE goals_against < 97 AND lost < 22 AND drawn = 9 AND goal_difference = "+28" | SELECT MAX("points_1") FROM "table_name_57" WHERE "+28" = "goal_difference" AND "drawn" = 9 AND "goals_against" < 97 AND "lost" < 22 | 0.128906 |
CREATE TABLE table_name_16 (school_club_team VARCHAR, player VARCHAR)
| Which School/Club Team has a Player of jud buechler? | SELECT school_club_team FROM table_name_16 WHERE player = "jud buechler" | SELECT "school_club_team" FROM "table_name_16" WHERE "jud buechler" = "player" | 0.076172 |
CREATE TABLE table_name_11 (interview INT, average VARCHAR, swimsuit VARCHAR, province VARCHAR)
| Which Interview has a Swimsuit larger than 7.6, and a Province of la vega, and an Average smaller than 8.38? | SELECT SUM(interview) FROM table_name_11 WHERE swimsuit > 7.6 AND province = "la vega" AND average < 8.38 | SELECT SUM("interview") FROM "table_name_11" WHERE "average" < 8.38 AND "la vega" = "province" AND "swimsuit" > 7.6 | 0.112305 |
CREATE TABLE table_940 ("Year" FLOAT, "Domestic freight" FLOAT, "Domestic mail" FLOAT, "International freight" FLOAT, "International mail" FLOAT, "Total freight and mail" FLOAT, "Change" TEXT)
| what's the year with change being +8.0% | SELECT "Year" FROM table_940 WHERE "Change" = '+8.0%' | SELECT "Year" FROM "table_940" WHERE "Change" = '+8.0%' | 0.053711 |
CREATE TABLE table_1584 ("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 most wins where position is 16th | SELECT MAX("Wins") FROM table_1584 WHERE "Position" = '16th' | SELECT MAX("Wins") FROM "table_1584" WHERE "Position" = '16th' | 0.060547 |
CREATE TABLE table_203_436 (id DECIMAL, "year" DECIMAL, "competition" TEXT, "venue" TEXT, "position" TEXT, "notes" TEXT)
| how many times did wu tao came in first position ? | SELECT COUNT(*) FROM table_203_436 WHERE "position" = 1 | SELECT COUNT(*) FROM "table_203_436" WHERE "position" = 1 | 0.055664 |
CREATE TABLE teachers (lastname TEXT, firstname TEXT, classroom DECIMAL)
CREATE TABLE list (lastname TEXT, firstname TEXT, grade DECIMAL, classroom DECIMAL)
| What are the first names of the teachers who teach grade 1? | SELECT DISTINCT T2.firstname FROM list AS T1 JOIN teachers AS T2 ON T1.classroom = T2.classroom WHERE grade = 1 | SELECT DISTINCT "T2"."firstname" FROM "list" AS "T1" JOIN "teachers" AS "T2" ON "T1"."classroom" = "T2"."classroom" WHERE "grade" = 1 | 0.129883 |
CREATE TABLE table_46170 ("Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Result" TEXT, "Record" TEXT)
| Which Record has a Result of loss, and an Opponent of @ la clippers? | SELECT "Record" FROM table_46170 WHERE "Result" = 'loss' AND "Opponent" = '@ la clippers' | SELECT "Record" FROM "table_46170" WHERE "Opponent" = '@ la clippers' AND "Result" = 'loss' | 0.088867 |
CREATE TABLE table_3108 ("No. in series" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "Production code" FLOAT)
| What episode number in the series originally aired on February 28, 1992? | SELECT MIN("No. in series") FROM table_3108 WHERE "Original air date" = 'February 28, 1992' | SELECT MIN("No. in series") FROM "table_3108" WHERE "Original air date" = 'February 28, 1992' | 0.09082 |
CREATE TABLE table_14825 ("Date" TEXT, "Venue" TEXT, "Result" TEXT, "Competition" TEXT, "Scored" FLOAT)
| what is the result of the competition in 2006 world cup qualification? | SELECT "Result" FROM table_14825 WHERE "Competition" = '2006 world cup qualification' | SELECT "Result" FROM "table_14825" WHERE "Competition" = '2006 world cup qualification' | 0.084961 |
CREATE TABLE table_65104 ("Nat." TEXT, "Name" TEXT, "Moving from" TEXT, "Type" TEXT, "Transfer window" TEXT, "Ends" FLOAT, "Transfer fee" TEXT)
| What is the transfer fee for Helguera? | SELECT "Transfer fee" FROM table_65104 WHERE "Name" = 'helguera' | SELECT "Transfer fee" FROM "table_65104" WHERE "Name" = 'helguera' | 0.064453 |
CREATE TABLE table_56318 ("Episode" TEXT, "Title" TEXT, "Date of emission" TEXT, "Audience" TEXT, "Share" TEXT)
| Which title had an audience of 4.629.000? | SELECT "Title" FROM table_56318 WHERE "Audience" = '4.629.000' | SELECT "Title" FROM "table_56318" WHERE "Audience" = '4.629.000' | 0.0625 |
CREATE TABLE table_62949 ("Rank" FLOAT, "Rowers" TEXT, "Country" TEXT, "Time" TEXT, "Notes" TEXT)
| What country has a time of 6:49.28? | SELECT "Country" FROM table_62949 WHERE "Time" = '6:49.28' | SELECT "Country" FROM "table_62949" WHERE "Time" = '6:49.28' | 0.058594 |
CREATE TABLE table_name_12 (record VARCHAR, method VARCHAR)
| What was the record when the TKO (elbows) method was used? | SELECT record FROM table_name_12 WHERE method = "tko (elbows)" | SELECT "record" FROM "table_name_12" WHERE "method" = "tko (elbows)" | 0.066406 |
CREATE TABLE table_name_65 (money__ INT, round_2 VARCHAR, round_4 VARCHAR)
| What is the maximum for a round 2 score of 65 and a round 4 score smaller than 67? | SELECT MAX(money__) AS οΏ₯_ FROM table_name_65 WHERE round_2 = 65 AND round_4 < 67 | SELECT MAX("money__") AS "οΏ₯_" FROM "table_name_65" WHERE "round_2" = 65 AND "round_4" < 67 | 0.087891 |
CREATE TABLE table_11387 ("Year" FLOAT, "Award" TEXT, "Category" TEXT, "Nominated work" TEXT, "Result" TEXT)
| What is the result for the king and I after 2006? | SELECT "Result" FROM table_11387 WHERE "Year" > '2006' AND "Nominated work" = 'the king and i' | SELECT "Result" FROM "table_11387" WHERE "Nominated work" = 'the king and i' AND "Year" > '2006' | 0.09375 |
CREATE TABLE artist (artist_id DECIMAL, artist TEXT, age DECIMAL, famous_title TEXT, famous_release_date TEXT)
CREATE TABLE volume (volume_id DECIMAL, volume_issue TEXT, issue_date TEXT, weeks_on_top DECIMAL, song TEXT, artist_id DECIMAL)
CREATE TABLE music_festival (id DECIMAL, music_festival TEXT, date_of_ceremony TEXT, category TEXT, volume DECIMAL, result TEXT)
| Return the song in the volume that has spent the most weeks on top? | SELECT song FROM volume ORDER BY weeks_on_top DESC LIMIT 1 | SELECT "song" FROM "volume" ORDER BY "weeks_on_top" DESC NULLS LAST LIMIT 1 | 0.073242 |
CREATE TABLE table_17323092_8 (location_attendance VARCHAR, high_assists VARCHAR)
| Where was the location and what was the attendance in the game that Anthony Parker (7) earned high assists? | SELECT location_attendance FROM table_17323092_8 WHERE high_assists = "Anthony Parker (7)" | SELECT "location_attendance" FROM "table_17323092_8" WHERE "Anthony Parker (7)" = "high_assists" | 0.09375 |
CREATE TABLE table_51099 ("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 most rebounds on January 3? | SELECT "High rebounds" FROM table_51099 WHERE "Date" = 'january 3' | SELECT "High rebounds" FROM "table_51099" WHERE "Date" = 'january 3' | 0.066406 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| give me the number of patients born before 2184 who have lab test item id 51250. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dob_year < "2184" AND lab.itemid = "51250" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "51250" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2184" > "demographic"."dob_year" | 0.188477 |
CREATE TABLE table_76774 ("Round" FLOAT, "Pick" FLOAT, "Player" TEXT, "Position" TEXT, "Nationality" TEXT, "College/Junior Team" TEXT)
| What is the average round of the rw position player from the United States? | SELECT AVG("Round") FROM table_76774 WHERE "Nationality" = 'united states' AND "Position" = 'rw' | SELECT AVG("Round") FROM "table_76774" WHERE "Nationality" = 'united states' AND "Position" = 'rw' | 0.095703 |
CREATE TABLE Rating (rID INT, mID INT, stars INT, ratingDate DATE)
CREATE TABLE Movie (mID INT, title TEXT, year INT, director TEXT)
CREATE TABLE Reviewer (rID INT, name TEXT)
| Please visualize a bar chart, that the X-axis is the director and the Y-axis is thier corresponding lowest rating among all movies, sort in ascending by the x axis. | SELECT director, MIN(T1.stars) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID GROUP BY director ORDER BY director | SELECT "director", MIN("T1"."stars") FROM "Rating" AS "T1" JOIN "Movie" AS "T2" ON "T1"."mID" = "T2"."mID" GROUP BY "director" ORDER BY "director" NULLS FIRST | 0.154297 |
CREATE TABLE table_38198 ("Team" TEXT, "Driver" TEXT, "Laps" FLOAT, "Time" TEXT, "Grid" FLOAT)
| Which Grid is the lowest one that has a Team of germany, and Laps smaller than 45? | SELECT MIN("Grid") FROM table_38198 WHERE "Team" = 'germany' AND "Laps" < '45' | SELECT MIN("Grid") FROM "table_38198" WHERE "Laps" < '45' AND "Team" = 'germany' | 0.078125 |
CREATE TABLE table_name_98 (iata VARCHAR, icao VARCHAR)
| What is the IATA code for the city with ICAO code of RCMQ? | SELECT iata FROM table_name_98 WHERE icao = "rcmq" | SELECT "iata" FROM "table_name_98" WHERE "icao" = "rcmq" | 0.054688 |
CREATE TABLE ref_detention_type (detention_type_code TEXT, detention_type_description TEXT)
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 student_addresses (student_id DECIMAL, address_id DECIMAL, date_address_from TIME, date_address_to TIME, monthly_rental DECIMAL, other_details TEXT)
CREATE TABLE students_in_detention (student_id DECIMAL, detention_id DECIMAL, incident_id DECIMAL)
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 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 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 assessment_notes (notes_id DECIMAL, student_id DECIMAL, teacher_id DECIMAL, date_of_notes TIME, text_of_notes TEXT, other_details TEXT)
CREATE TABLE ref_address_types (address_type_code TEXT, address_type_description TEXT)
CREATE TABLE ref_incident_type (incident_type_code TEXT, incident_type_description 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)
| Return the cell phone number and email address for all students. | SELECT cell_mobile_number, email_address FROM students | SELECT "cell_mobile_number", "email_address" FROM "students" | 0.058594 |
CREATE TABLE table_24263 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "Production code" FLOAT, "U.S. viewers ( millions ) " TEXT)
| Who directed the episode with a production code greater than 4301103.585233785 that was written by Curtis Kheel? | SELECT "Directed by" FROM table_24263 WHERE "Production code" > '4301103.585233785' AND "Written by" = 'Curtis Kheel' | SELECT "Directed by" FROM "table_24263" WHERE "Production code" > '4301103.585233785' AND "Written by" = 'Curtis Kheel' | 0.116211 |
CREATE TABLE table_name_72 (district INT, took_office VARCHAR, party VARCHAR, senator VARCHAR)
| What is the district where Steve Carriker is the Democratic Senator and he took office later than 1988? | SELECT MAX(district) FROM table_name_72 WHERE party = "democratic" AND senator = "steve carriker" AND took_office > 1988 | SELECT MAX("district") FROM "table_name_72" WHERE "democratic" = "party" AND "senator" = "steve carriker" AND "took_office" > 1988 | 0.126953 |
CREATE TABLE table_17906 ("Series number" TEXT, "Episode number" FLOAT, "Date of first broadcast" TEXT, "Total viewers" FLOAT, "Series average" FLOAT)
| what is the series number where the date of first broadcast is 16 october 2008? | SELECT "Series number" FROM table_17906 WHERE "Date of first broadcast" = '16 October 2008' | SELECT "Series number" FROM "table_17906" WHERE "Date of first broadcast" = '16 October 2008' | 0.09082 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| provide me the diagnosis short title and diagnosis icd9 code for patient with patient id 2560. | SELECT diagnoses.icd9_code, diagnoses.short_title FROM diagnoses WHERE diagnoses.subject_id = "2560" | SELECT "diagnoses"."icd9_code", "diagnoses"."short_title" FROM "diagnoses" WHERE "2560" = "diagnoses"."subject_id" | 0.111328 |
CREATE TABLE table_1611 ("Game" FLOAT, "Date" TEXT, "Opponent" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location/Attendance" TEXT, "Record" TEXT)
| What was the record when Canty (5) was the high assists? | SELECT "Record" FROM table_1611 WHERE "High assists" = 'Canty (5)' | SELECT "Record" FROM "table_1611" WHERE "High assists" = 'Canty (5)' | 0.066406 |
CREATE TABLE table_204_385 (id DECIMAL, "round" DECIMAL, "pick" DECIMAL, "player" TEXT, "nationality" TEXT, "college/junior/club team" TEXT)
| are more of the amateur draft picks from canada or the united states ? | SELECT "nationality" FROM table_204_385 WHERE "nationality" IN ('canada', 'united states') GROUP BY "nationality" ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "nationality" FROM "table_204_385" WHERE "nationality" IN ('canada', 'united states') GROUP BY "nationality" ORDER BY COUNT(*) DESC NULLS LAST LIMIT 1 | 0.15332 |
CREATE TABLE airports (country VARCHAR)
| How many airports are there per country? Order the countries by decreasing number of airports. | SELECT COUNT(*), country FROM airports GROUP BY country ORDER BY COUNT(*) DESC | SELECT COUNT(*), "country" FROM "airports" GROUP BY "country" ORDER BY COUNT(*) DESC NULLS LAST | 0.092773 |
CREATE TABLE table_name_95 (attendance VARCHAR, week INT)
| What's the attendance when the week was more than 16? | SELECT attendance FROM table_name_95 WHERE week > 16 | SELECT "attendance" FROM "table_name_95" WHERE "week" > 16 | 0.056641 |
CREATE TABLE furniture (furniture_id DECIMAL, name TEXT, num_of_component DECIMAL, market_rate DECIMAL)
CREATE TABLE furniture_manufacte (manufacturer_id DECIMAL, furniture_id DECIMAL, price_in_dollar DECIMAL)
CREATE TABLE manufacturer (manufacturer_id DECIMAL, open_year DECIMAL, name TEXT, num_of_factories DECIMAL, num_of_shops DECIMAL)
| what is the average number of factories and maximum number of shops for manufacturers that opened before 1990. | SELECT MAX(num_of_shops), AVG(num_of_factories) FROM manufacturer WHERE open_year < 1990 | SELECT MAX("num_of_shops"), AVG("num_of_factories") FROM "manufacturer" WHERE "open_year" < 1990 | 0.09375 |
CREATE TABLE table_28253 ("No." FLOAT, "#" FLOAT, "Title" TEXT, "Director" TEXT, "Writer ( s ) " TEXT, "Original air date" TEXT, "Prod. code" FLOAT, "U.S. viewers ( million ) " TEXT)
| How many production codes does the episode 'keg! max!' have? | SELECT COUNT("Prod. code") FROM table_28253 WHERE "Title" = 'Keg! Max!' | SELECT COUNT("Prod. code") FROM "table_28253" WHERE "Title" = 'Keg! Max!' | 0.071289 |
CREATE TABLE table_1370559_1 (pf INT)
| What is the lowest PF? | SELECT MIN(pf) FROM table_1370559_1 | SELECT MIN("pf") FROM "table_1370559_1" | 0.038086 |
CREATE TABLE table_72699 ("Date" TEXT, "Cover model" TEXT, "Centerfold model" TEXT, "Interview subject" TEXT, "20 Questions" TEXT, "Pictorials" TEXT)
| List the pictorals from issues when lindsey roeper was the cover model. | SELECT "Pictorials" FROM table_72699 WHERE "Cover model" = 'Lindsey Roeper' | SELECT "Pictorials" FROM "table_72699" WHERE "Cover model" = 'Lindsey Roeper' | 0.075195 |
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label 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 outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
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 labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
| when was the first time patient 68280 was prescribed heparin sodium and propofol in 12/this year at the same time? | SELECT t1.startdate FROM (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'heparin sodium' AND admissions.subject_id = 68280 AND DATETIME(prescriptions.startdate, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND STRFTIME('%m', prescriptions.startdate) = '12') AS t1 JOIN (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'propofol' AND admissions.subject_id = 68280 AND DATETIME(prescriptions.startdate, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND STRFTIME('%m', prescriptions.startdate) = '12') AS t2 ON t1.subject_id = t2.subject_id WHERE DATETIME(t1.startdate) = DATETIME(t2.startdate) ORDER BY t1.startdate LIMIT 1 | WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" AND "admissions"."subject_id" = 68280 WHERE "prescriptions"."drug" = 'propofol' AND DATETIME("prescriptions"."startdate", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND STRFTIME('%m', "prescriptions"."startdate") = '12') SELECT "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" AND "admissions"."subject_id" = 68280 JOIN "t2" AS "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND DATETIME("prescriptions"."startdate") = DATETIME("t2"."startdate") WHERE "prescriptions"."drug" = 'heparin sodium' AND DATETIME("prescriptions"."startdate", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND STRFTIME('%m', "prescriptions"."startdate") = '12' ORDER BY "prescriptions"."startdate" NULLS FIRST LIMIT 1 | 0.972656 |
CREATE TABLE table_2533 ("Outcome" TEXT, "Year" FLOAT, "Championship" TEXT, "Surface" TEXT, "Opponent in the final" TEXT, "Score in the final" TEXT)
| List the total number of years that have a score of 3 6, 4 6, 2 6. | SELECT COUNT("Year") FROM table_2533 WHERE "Score in the final" = '3β6, 4β6, 2β6' | SELECT COUNT("Year") FROM "table_2533" WHERE "Score in the final" = '3β6, 4β6, 2β6' | 0.081055 |
CREATE TABLE entrepreneur (Entrepreneur_ID INT, People_ID INT, Company TEXT, Money_Requested FLOAT, Investor TEXT)
CREATE TABLE people (People_ID INT, Name TEXT, Height FLOAT, Weight FLOAT, Date_of_Birth TEXT)
| Return a histogram on how many entrepreneurs correspond to each investor?, show in desc by the total number please. | SELECT Investor, COUNT(*) FROM entrepreneur GROUP BY Investor ORDER BY COUNT(*) DESC | SELECT "Investor", COUNT(*) FROM "entrepreneur" GROUP BY "Investor" ORDER BY COUNT(*) DESC NULLS LAST | 0.098633 |
CREATE TABLE table_name_34 (round INT, nationality VARCHAR, player VARCHAR)
| Which Round has a Nationality of united states, and a Player of jimmy hayes? | SELECT MAX(round) FROM table_name_34 WHERE nationality = "united states" AND player = "jimmy hayes" | SELECT MAX("round") FROM "table_name_34" WHERE "jimmy hayes" = "player" AND "nationality" = "united states" | 0.104492 |
CREATE TABLE table_26998135_2 (date_of_appointment VARCHAR, outgoing_manager VARCHAR)
| What is the date of appointment when the outgoing manager was mustafa denizli? | SELECT date_of_appointment FROM table_26998135_2 WHERE outgoing_manager = "Mustafa Denizli" | SELECT "date_of_appointment" FROM "table_26998135_2" WHERE "Mustafa Denizli" = "outgoing_manager" | 0.094727 |
CREATE TABLE table_18791 ("City of license /Market" TEXT, "Station" TEXT, "Channel TV ( DT ) " TEXT, "Owned since" TEXT, "Primary affiliation" TEXT)
| What city has channel tv (dt) 25 (31)? | SELECT "City of license /Market" FROM table_18791 WHERE "Channel TV ( DT )" = '25 (31)' | SELECT "City of license /Market" FROM "table_18791" WHERE "Channel TV ( DT )" = '25 (31)' | 0.086914 |
CREATE TABLE table_45821 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
| Who has the highest assists on april 28? | SELECT "High assists" FROM table_45821 WHERE "Date" = 'april 28' | SELECT "High assists" FROM "table_45821" WHERE "Date" = 'april 28' | 0.064453 |
CREATE TABLE Premises (premise_id INT, premises_type VARCHAR, premise_details VARCHAR)
CREATE TABLE Customer_Orders (order_id INT, customer_id INT, order_status_code VARCHAR, shipping_method_code VARCHAR, order_placed_datetime DATETIME, order_delivered_datetime DATETIME, order_shipping_charges VARCHAR)
CREATE TABLE Mailshot_Customers (mailshot_id INT, customer_id INT, outcome_code VARCHAR, mailshot_customer_date DATETIME)
CREATE TABLE Order_Items (item_id INT, order_item_status_code VARCHAR, order_id INT, product_id INT, item_status_code VARCHAR, item_delivered_datetime DATETIME, item_order_quantity VARCHAR)
CREATE TABLE Mailshot_Campaigns (mailshot_id INT, product_category VARCHAR, mailshot_name VARCHAR, mailshot_start_date DATETIME, mailshot_end_date DATETIME)
CREATE TABLE Customers (customer_id INT, payment_method VARCHAR, customer_name VARCHAR, customer_phone VARCHAR, customer_email VARCHAR, customer_address VARCHAR, customer_login VARCHAR, customer_password VARCHAR)
CREATE TABLE Products (product_id INT, product_category VARCHAR, product_name VARCHAR)
CREATE TABLE Customer_Addresses (customer_id INT, premise_id INT, date_address_from DATETIME, address_type_code VARCHAR, date_address_to DATETIME)
| Show me the total number by outcome code in a histogram, order in ascending by the Y. | SELECT outcome_code, COUNT(*) FROM Mailshot_Customers GROUP BY outcome_code ORDER BY COUNT(*) | SELECT "outcome_code", COUNT(*) FROM "Mailshot_Customers" GROUP BY "outcome_code" ORDER BY COUNT(*) NULLS FIRST | 0.108398 |
CREATE TABLE table_name_49 (r1st VARCHAR, ryds VARCHAR)
| Who is the R1st that has 36 RYds? | SELECT r1st FROM table_name_49 WHERE ryds = "36" | SELECT "r1st" FROM "table_name_49" WHERE "36" = "ryds" | 0.052734 |
CREATE TABLE table_name_50 (class VARCHAR, erp_w VARCHAR, call_sign VARCHAR)
| What is the Class for the ERP W of more than 2 and the call sign of w223au? | SELECT class FROM table_name_50 WHERE erp_w > 2 AND call_sign = "w223au" | SELECT "class" FROM "table_name_50" WHERE "call_sign" = "w223au" AND "erp_w" > 2 | 0.078125 |
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 prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE 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 outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
| did patient 65124 receive hemorrhage complic proc diagnosis until 1 year ago? | SELECT COUNT(*) > 0 FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'hemorrhage complic proc') AND diagnoses_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 65124) AND DATETIME(diagnoses_icd.charttime) <= DATETIME(CURRENT_TIME(), '-1 year') | WITH "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 65124 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'hemorrhage complic proc' LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "diagnoses_icd"."hadm_id" WHERE DATETIME("diagnoses_icd"."charttime") <= DATETIME(CURRENT_TIME(), '-1 year') AND NOT "_u_1"."" IS NULL | 0.479492 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE 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)
| give the minimum age of patients whose insurance is private and year of death is before 2122. | SELECT MIN(demographic.age) FROM demographic WHERE demographic.insurance = "Private" AND demographic.dod_year < "2122.0" | SELECT MIN("demographic"."age") FROM "demographic" WHERE "2122.0" > "demographic"."dod_year" AND "Private" = "demographic"."insurance" | 0.130859 |
CREATE TABLE table_15357 ("Team" TEXT, "Games Played" FLOAT, "Wins" FLOAT, "Losses" FLOAT, "Ties" FLOAT, "Goals For" FLOAT, "Goals Against" FLOAT)
| What is the score of Goal For which has a Ties larger 0? | SELECT MIN("Goals For") FROM table_15357 WHERE "Ties" > '0' | SELECT MIN("Goals For") FROM "table_15357" WHERE "Ties" > '0' | 0.05957 |
CREATE TABLE artist (artist_id DECIMAL, artist TEXT, age DECIMAL, famous_title TEXT, famous_release_date TEXT)
CREATE TABLE music_festival (id DECIMAL, music_festival TEXT, date_of_ceremony TEXT, category TEXT, volume DECIMAL, result TEXT)
CREATE TABLE volume (volume_id DECIMAL, volume_issue TEXT, issue_date TEXT, weeks_on_top DECIMAL, song TEXT, artist_id DECIMAL)
| Please show the songs that have result 'nominated' at music festivals. | SELECT T2.song FROM music_festival AS T1 JOIN volume AS T2 ON T1.volume = T2.volume_id WHERE T1.result = "Nominated" | SELECT "T2"."song" FROM "music_festival" AS "T1" JOIN "volume" AS "T2" ON "T1"."volume" = "T2"."volume_id" WHERE "Nominated" = "T1"."result" | 0.136719 |
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