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CREATE TABLE table_40596 ("Sanderstead" TEXT, "Selsdon" TEXT, "Coombe Road" TEXT, "Bingham Road" TEXT, "Woodside" TEXT, "Elmers End" TEXT)
| What is the Elmers End with a 17:57 Selsdon time? | SELECT "Elmers End" FROM table_40596 WHERE "Selsdon" = '17:57' | SELECT "Elmers End" FROM "table_40596" WHERE "Selsdon" = '17:57' | 0.0625 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
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 primary disease is sigmoid diverticulitis, colovestical fistula/sda and days of hospital stay is greater than 26? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "SIGMOID DIVERTICULITIS, COLOVESTICAL FISTULA/SDA" AND demographic.days_stay > "26" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "26" < "demographic"."days_stay" AND "SIGMOID DIVERTICULITIS, COLOVESTICAL FISTULA/SDA" = "demographic"."diagnosis" | 0.185547 |
CREATE TABLE table_16278602_1 (seat_of_administration VARCHAR, largest_city VARCHAR)
| In the region where Roskilde is the largest city, what is the seat of administration? | SELECT seat_of_administration FROM table_16278602_1 WHERE largest_city = "Roskilde" | SELECT "seat_of_administration" FROM "table_16278602_1" WHERE "Roskilde" = "largest_city" | 0.086914 |
CREATE TABLE table_14700336_1 (revenue__millions_ VARCHAR, revenue_per_capita VARCHAR)
| How many numbers were recorded under revenue when revenue per capita was $6,126? | SELECT COUNT(revenue__millions_) FROM table_14700336_1 WHERE revenue_per_capita = "$6,126" | SELECT COUNT("revenue__millions_") FROM "table_14700336_1" WHERE "$6,126" = "revenue_per_capita" | 0.09375 |
CREATE TABLE table_10402018_1 (london VARCHAR, character VARCHAR)
| How many people play Frank in London? | SELECT COUNT(london) FROM table_10402018_1 WHERE character = "Frank" | SELECT COUNT("london") FROM "table_10402018_1" WHERE "Frank" = "character" | 0.072266 |
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE 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 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 diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
| tell me what are the five most common diagnoses of patients in the 40s in this year? | SELECT d_icd_diagnoses.short_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.icd9_code IN (SELECT t1.icd9_code FROM (SELECT diagnoses_icd.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM diagnoses_icd WHERE diagnoses_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.age BETWEEN 40 AND 49) AND DATETIME(diagnoses_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY diagnoses_icd.icd9_code) AS t1 WHERE t1.c1 <= 5) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."age" <= 49 AND "admissions"."age" >= 40 GROUP BY "hadm_id"), "t1" AS (SELECT "diagnoses_icd"."icd9_code", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "diagnoses_icd" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "diagnoses_icd"."hadm_id" WHERE DATETIME("diagnoses_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_0"."" IS NULL GROUP BY "diagnoses_icd"."icd9_code"), "_u_1" AS (SELECT "t1"."icd9_code" FROM "t1" AS "t1" WHERE "t1"."c1" <= 5 GROUP BY "icd9_code") SELECT "d_icd_diagnoses"."short_title" FROM "d_icd_diagnoses" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "d_icd_diagnoses"."icd9_code" WHERE NOT "_u_1"."" IS NULL | 0.760742 |
CREATE TABLE table_name_76 (draw INT, english_translation VARCHAR)
| For the English translation Someone Like You, what is the lowest draw? | SELECT MIN(draw) FROM table_name_76 WHERE english_translation = "someone like you" | SELECT MIN("draw") FROM "table_name_76" WHERE "english_translation" = "someone like you" | 0.085938 |
CREATE TABLE table_53120 ("Pick" FLOAT, "Player" TEXT, "Country of origin*" TEXT, "PBA team" TEXT, "College" TEXT)
| What college did pick 33 attend? | SELECT "College" FROM table_53120 WHERE "Pick" = '33' | SELECT "College" FROM "table_53120" WHERE "Pick" = '33' | 0.053711 |
CREATE TABLE table_name_37 (prize VARCHAR, runner_up VARCHAR, winner VARCHAR)
| What is Prize, when Runner-Up is 'Simon Ehne', and when Winner is 'David Tighe'? | SELECT prize FROM table_name_37 WHERE runner_up = "simon ehne" AND winner = "david tighe" | SELECT "prize" FROM "table_name_37" WHERE "david tighe" = "winner" AND "runner_up" = "simon ehne" | 0.094727 |
CREATE TABLE table_29902 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
| How many times was the high rebounds by marcus camby (18)? | SELECT COUNT("Date") FROM table_29902 WHERE "High rebounds" = 'Marcus Camby (18)' | SELECT COUNT("Date") FROM "table_29902" WHERE "High rebounds" = 'Marcus Camby (18)' | 0.081055 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| Provide the number of patients under the age of 80 whose drug route is ng. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "80" AND prescriptions.route = "NG" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "NG" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "80" > "demographic"."age" | 0.207031 |
CREATE TABLE table_23760 ("Player" TEXT, "Starts" FLOAT, "Cuts made" FLOAT, "Best finish" TEXT, "Money list rank" FLOAT, "Earnings ( $ ) " FLOAT)
| What is the total number of players who had a money list rank of 96? | SELECT COUNT("Best finish") FROM table_23760 WHERE "Money list rank" = '96' | SELECT COUNT("Best finish") FROM "table_23760" WHERE "Money list rank" = '96' | 0.075195 |
CREATE TABLE aircraft (aircraft_id DECIMAL, order_year DECIMAL, manufacturer TEXT, model TEXT, fleet_series TEXT, powertrain TEXT, fuel_propulsion TEXT)
CREATE TABLE pilot_record (record_id DECIMAL, pilot_id DECIMAL, aircraft_id DECIMAL, date TEXT)
CREATE TABLE pilot (pilot_id DECIMAL, pilot_name TEXT, rank DECIMAL, age DECIMAL, nationality TEXT, position TEXT, join_year DECIMAL, team TEXT)
| List the distinct positions of pilots older than 30. | SELECT DISTINCT position FROM pilot WHERE age > 30 | SELECT DISTINCT "position" FROM "pilot" WHERE "age" > 30 | 0.054688 |
CREATE TABLE table_train_89 ("id" INT, "chronically_uncontrolled_hypertension" BOOLEAN, "uncontrolled_diabetes" BOOLEAN, "hemoglobin_a1c_hba1c" FLOAT, "body_weight" FLOAT, "renal_disease" BOOLEAN, "creatinine_clearance_cl" FLOAT, "geriatric_depression_scale_gds" INT, "major_depression" BOOLEAN, "NOUSE" FLOAT)
| current untreated major depression defined by geriatric depression scale > 20 . | SELECT * FROM table_train_89 WHERE major_depression = 1 OR geriatric_depression_scale_gds > 20 | SELECT * FROM "table_train_89" WHERE "geriatric_depression_scale_gds" > 20 OR "major_depression" = 1 | 0.097656 |
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE FlagTypes (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 ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE 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 Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId 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 PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
| Number of questions asked in an average day about Django. | SELECT DATEPART(hour, Posts.CreationDate) AS "daytime", COUNT(Posts.Id) AS "numanswers" FROM Posts INNER JOIN PostTags ON Posts.Id = PostTags.PostId WHERE PostTags.TagId = 243 AND Posts.PostTypeId = 1 AND Posts.CreationDate > DATEADD(year, -1, GETDATE()) GROUP BY DATEPART(hour, Posts.CreationDate) | SELECT DATEPART("hour", "Posts"."CreationDate") AS "daytime", COUNT("Posts"."Id") AS "numanswers" FROM "Posts" JOIN "PostTags" ON "PostTags"."PostId" = "Posts"."Id" AND "PostTags"."TagId" = 243 WHERE "Posts"."CreationDate" > DATEADD(YEAR, -1, GETDATE()) AND "Posts"."PostTypeId" = 1 GROUP BY DATEPART("hour", "Posts"."CreationDate") | 0.324219 |
CREATE TABLE table_27537 ("Round" TEXT, "Circuit" TEXT, "Date" TEXT, "Pole Position" TEXT, "Fastest Lap" TEXT, "Winning driver" TEXT, "Winning team" TEXT)
| Name the fastest lap for piquet sports and silverstone | SELECT "Fastest Lap" FROM table_27537 WHERE "Winning team" = 'Piquet Sports' AND "Circuit" = 'Silverstone' | SELECT "Fastest Lap" FROM "table_27537" WHERE "Circuit" = 'Silverstone' AND "Winning team" = 'Piquet Sports' | 0.105469 |
CREATE TABLE Timed_Status_of_Things (thing_id INT, Date_and_Date DATETIME, Status_of_Thing_Code CHAR)
CREATE TABLE Customer_Events (Customer_Event_ID INT, customer_id INT, date_moved_in DATETIME, property_id INT, resident_id INT, thing_id INT)
CREATE TABLE Things (thing_id INT, organization_id INT, Type_of_Thing_Code CHAR, service_type_code CHAR, service_details VARCHAR)
CREATE TABLE Residents (resident_id INT, property_id INT, date_moved_in DATETIME, date_moved_out DATETIME, other_details VARCHAR)
CREATE TABLE Properties (property_id INT, property_type_code CHAR, property_address VARCHAR, other_details VARCHAR)
CREATE TABLE Services (service_id INT, organization_id INT, service_type_code CHAR, service_details VARCHAR)
CREATE TABLE Timed_Locations_of_Things (thing_id INT, Date_and_Time DATETIME, Location_Code CHAR)
CREATE TABLE Residents_Services (resident_id INT, service_id INT, date_moved_in DATETIME, property_id INT, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR)
CREATE TABLE Organizations (organization_id INT, parent_organization_id INT, organization_details VARCHAR)
CREATE TABLE Customers (customer_id INT, customer_details VARCHAR)
CREATE TABLE Customer_Event_Notes (Customer_Event_Note_ID INT, Customer_Event_ID INT, service_type_code CHAR, resident_id INT, property_id INT, date_moved_in DATETIME)
| Give me a stacked bar chart to show how many things in different types of each thing, and the details of the organization that owns it, and could you show x axis in desc order? | SELECT organization_details, COUNT(organization_details) FROM Things AS T1 JOIN Organizations AS T2 ON T1.organization_id = T2.organization_id GROUP BY Type_of_Thing_Code, organization_details ORDER BY organization_details DESC | SELECT "organization_details", COUNT("organization_details") FROM "Things" AS "T1" JOIN "Organizations" AS "T2" ON "T1"."organization_id" = "T2"."organization_id" GROUP BY "Type_of_Thing_Code", "organization_details" ORDER BY "organization_details" DESC NULLS LAST | 0.257813 |
CREATE TABLE table_42759 ("Sport" TEXT, "Record" TEXT, "Nation - athlete ( s ) " TEXT, "Date" TEXT, "Time ( seconds ) " FLOAT)
| What is the Nation - athlete(s), when the Sport is luge - men's singles, and when the Record is, 'track'? | SELECT "Nation - athlete(s)" FROM table_42759 WHERE "Sport" = 'luge - men''s singles' AND "Record" = 'track' | SELECT "Nation - athlete(s)" FROM "table_42759" WHERE "Record" = 'track' AND "Sport" = 'luge - men\'s singles' | 0.107422 |
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type 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 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 days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name 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 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 equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code 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 code_description (code VARCHAR, description TEXT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
| show me all the flights from PHILADELPHIA to SAN FRANCISCO | 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 = 'SAN FRANCISCO' 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" = 'SAN FRANCISCO' | 0.504883 |
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_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE month (month_number INT, month_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 time_interval (period TEXT, begin_time INT, end_time 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 airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
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 days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
| what ground transportation is available from the PITTSBURGH airport to downtown and how much does it cost | SELECT DISTINCT ground_service.ground_fare, ground_service.transport_type FROM airport, airport_service, city AS CITY_0, city AS CITY_1, ground_service WHERE airport.airport_code = airport_service.airport_code AND CITY_0.city_code = airport_service.city_code AND CITY_0.city_name = 'PITTSBURGH' AND CITY_1.city_name = 'PITTSBURGH' AND ground_service.airport_code = airport.airport_code AND ground_service.city_code = CITY_1.city_code | SELECT DISTINCT "ground_service"."ground_fare", "ground_service"."transport_type" FROM "airport" JOIN "airport_service" ON "airport"."airport_code" = "airport_service"."airport_code" JOIN "ground_service" ON "airport"."airport_code" = "ground_service"."airport_code" JOIN "city" AS "CITY_0" ON "CITY_0"."city_code" = "airport_service"."city_code" AND "CITY_0"."city_name" = 'PITTSBURGH' JOIN "city" AS "CITY_1" ON "CITY_1"."city_code" = "ground_service"."city_code" AND "CITY_1"."city_name" = 'PITTSBURGH' | 0.493164 |
CREATE TABLE table_76639 ("Poll Source" TEXT, "Dates administered" TEXT, "Democrat: Jill Long Thompson" TEXT, "Republican: Mitch Daniels" TEXT, "Lead Margin" FLOAT)
| What is the lowest Lead Margin when Republican: Mitch Daniels was polling at 48%? | SELECT MIN("Lead Margin") FROM table_76639 WHERE "Republican: Mitch Daniels" = '48%' | SELECT MIN("Lead Margin") FROM "table_76639" WHERE "Republican: Mitch Daniels" = '48%' | 0.083984 |
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label 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 transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name 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 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)
| when did patient 52898 receive a gastric tube irrigat nec procedure for the first time since 2105? | SELECT procedures_icd.charttime FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'gastric tube irrigat nec') AND procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 52898) AND STRFTIME('%y', procedures_icd.charttime) >= '2105' ORDER BY procedures_icd.charttime LIMIT 1 | WITH "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 52898 GROUP BY "hadm_id") SELECT "procedures_icd"."charttime" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'gastric tube irrigat nec' LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "procedures_icd"."hadm_id" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y', "procedures_icd"."charttime") >= '2105' ORDER BY "procedures_icd"."charttime" NULLS FIRST LIMIT 1 | 0.537109 |
CREATE TABLE table_20019 ("Census Year" FLOAT, "Number of Muslims 000" FLOAT, "Population of England and Wales 000" FLOAT, "Muslim ( % of Total population ) " TEXT, "Registered Mosques" FLOAT, "Muslims per mosque" FLOAT)
| What was the percentage of muslims during a time where there were 614 registered mosques? | SELECT "Muslim (% of Total population)" FROM table_20019 WHERE "Registered Mosques" = '614' | SELECT "Muslim (% of Total population)" FROM "table_20019" WHERE "Registered Mosques" = '614' | 0.09082 |
CREATE TABLE table_50620 ("Outcome" TEXT, "Date" TEXT, "Tournament" TEXT, "Surface" TEXT, "Partnering" TEXT, "Opponent in the final" TEXT, "Score" TEXT)
| What tournament is on 18 May 1992? | SELECT "Tournament" FROM table_50620 WHERE "Date" = '18 may 1992' | SELECT "Tournament" FROM "table_50620" WHERE "Date" = '18 may 1992' | 0.06543 |
CREATE TABLE table_21063 ("Team" TEXT, "P" FLOAT, "W" FLOAT, "D" FLOAT, "L" FLOAT, "Tries for" FLOAT, "Tries against" FLOAT, "Try diff" TEXT, "Points for" FLOAT, "Points against" FLOAT, "Points diff" TEXT, "Pts" FLOAT)
| What is the maximum points against when team's points are 10? | SELECT MAX("Points against") FROM table_21063 WHERE "Pts" = '10' | SELECT MAX("Points against") FROM "table_21063" WHERE "Pts" = '10' | 0.064453 |
CREATE TABLE table_10038 ("Team" TEXT, "Match" FLOAT, "Points" FLOAT, "Draw" FLOAT, "Lost" FLOAT)
| What is the number of points when the match is smaller than 14? | SELECT COUNT("Points") FROM table_10038 WHERE "Match" < '14' | SELECT COUNT("Points") FROM "table_10038" WHERE "Match" < '14' | 0.060547 |
CREATE TABLE table_15719 ("Year" FLOAT, "Entrant" TEXT, "Chassis" TEXT, "Engine" TEXT, "Points" FLOAT)
| What is the number of points when there was a BMW 269 F2 chassis earlier than 1969? | SELECT COUNT("Points") FROM table_15719 WHERE "Chassis" = 'bmw 269 f2' AND "Year" < '1969' | SELECT COUNT("Points") FROM "table_15719" WHERE "Chassis" = 'bmw 269 f2' AND "Year" < '1969' | 0.089844 |
CREATE TABLE table_15796 ("Tournament" TEXT, "2006" TEXT, "2007" TEXT, "2008" TEXT, "2009" TEXT, "2010" TEXT, "2011" TEXT, "2012" TEXT)
| Name the 2006 when the 2010 is 27 | SELECT "2006" FROM table_15796 WHERE "2010" = '27' | SELECT "2006" FROM "table_15796" WHERE "2010" = '27' | 0.050781 |
CREATE TABLE table_name_30 (name VARCHAR, sport VARCHAR, date VARCHAR)
| Who had the sport of athletics on a date earlier than 16? | SELECT name FROM table_name_30 WHERE sport = "athletics" AND date < 16 | SELECT "name" FROM "table_name_30" WHERE "athletics" = "sport" AND "date" < 16 | 0.076172 |
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)
| Create a bar chart showing all_games_percent across acc regular season | SELECT ACC_Regular_Season, All_Games_Percent FROM basketball_match | SELECT "ACC_Regular_Season", "All_Games_Percent" FROM "basketball_match" | 0.070313 |
CREATE TABLE table_58389 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| Who was North Melbourne's home opponent? | SELECT "Home team" FROM table_58389 WHERE "Away team" = 'north melbourne' | SELECT "Home team" FROM "table_58389" WHERE "Away team" = 'north melbourne' | 0.073242 |
CREATE TABLE table_5635 ("Game" FLOAT, "Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Series" TEXT)
| What opponent has april 10 as the date? | SELECT "Opponent" FROM table_5635 WHERE "Date" = 'april 10' | SELECT "Opponent" FROM "table_5635" WHERE "Date" = 'april 10' | 0.05957 |
CREATE TABLE table_name_6 (marriage VARCHAR, ceased_to_be_consort VARCHAR)
| Name the marriagefor ceased to be consort of 29 september 1898 | SELECT marriage FROM table_name_6 WHERE ceased_to_be_consort = "29 september 1898" | SELECT "marriage" FROM "table_name_6" WHERE "29 september 1898" = "ceased_to_be_consort" | 0.085938 |
CREATE TABLE table_name_64 (round INT, club_team VARCHAR)
| What is the average round for Club team of garmisch-partenkirchen riessersee sc (germany 2)? | SELECT AVG(round) FROM table_name_64 WHERE club_team = "garmisch-partenkirchen riessersee sc (germany 2)" | SELECT AVG("round") FROM "table_name_64" WHERE "club_team" = "garmisch-partenkirchen riessersee sc (germany 2)" | 0.108398 |
CREATE TABLE table_name_2 (tournament VARCHAR)
| what is the 2011 performance for the US open? | SELECT 2011 FROM table_name_2 WHERE tournament = "us open" | SELECT 2011 FROM "table_name_2" WHERE "tournament" = "us open" | 0.060547 |
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label 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 inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod 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 cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_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 procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
| what are the top three most frequent diagnoses for patients with an age 60 or above the last year? | SELECT d_icd_diagnoses.short_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.icd9_code IN (SELECT t1.icd9_code FROM (SELECT diagnoses_icd.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM diagnoses_icd WHERE diagnoses_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.age >= 60) AND DATETIME(diagnoses_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY diagnoses_icd.icd9_code) AS t1 WHERE t1.c1 <= 3) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."age" >= 60 GROUP BY "hadm_id"), "t1" AS (SELECT "diagnoses_icd"."icd9_code", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "diagnoses_icd" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "diagnoses_icd"."hadm_id" WHERE DATETIME("diagnoses_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_0"."" IS NULL GROUP BY "diagnoses_icd"."icd9_code"), "_u_1" AS (SELECT "t1"."icd9_code" FROM "t1" AS "t1" WHERE "t1"."c1" <= 3 GROUP BY "icd9_code") SELECT "d_icd_diagnoses"."short_title" FROM "d_icd_diagnoses" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "d_icd_diagnoses"."icd9_code" WHERE NOT "_u_1"."" IS NULL | 0.732422 |
CREATE TABLE table_203_595 (id DECIMAL, "year" DECIMAL, "division" DECIMAL, "league" TEXT, "reg. season" TEXT, "playoffs" TEXT, "open cup" TEXT)
| what is the total amount of usl pdl leagues ? | SELECT COUNT(*) FROM table_203_595 WHERE "league" = 'usl pdl' | SELECT COUNT(*) FROM "table_203_595" WHERE "league" = 'usl pdl' | 0.061523 |
CREATE TABLE table_27487310_5 (host_s_ VARCHAR, air_dates VARCHAR)
| Who is the host on the series aired on 18 January 2012? | SELECT host_s_ FROM table_27487310_5 WHERE air_dates = "18 January 2012" | SELECT "host_s_" FROM "table_27487310_5" WHERE "18 January 2012" = "air_dates" | 0.076172 |
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight 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 date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE 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 airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
| on 4 15 i would like an early morning flight from BOSTON to ATLANTA | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE (((flight.departure_time BETWEEN 0 AND 800) AND date_day.day_number = 15 AND date_day.month_number = 4 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ATLANTA' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 15 AND "date_day"."month_number" = 4 AND "date_day"."year" = 1991 JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'BOSTON' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" AND "flight"."departure_time" <= 800 AND "flight"."departure_time" >= 0 JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'ATLANTA' | 0.774414 |
CREATE TABLE table_17012578_37 (Ends INT)
| What is the highest number of ends lost? | SELECT MAX(Ends) AS lost FROM table_17012578_37 | SELECT MAX("Ends") AS "lost" FROM "table_17012578_37" | 0.051758 |
CREATE TABLE table_45662 ("Country" TEXT, "Skip" TEXT, "Ends Won" FLOAT, "Ends Lost" FLOAT, "Blank Ends" FLOAT, "Stolen Ends" FLOAT, "Shot %" FLOAT)
| Name the average Blank Ends which has a Shot % smaller than 78, and a Ends Won larger than 43? | SELECT AVG("Blank Ends") FROM table_45662 WHERE "Shot %" < '78' AND "Ends Won" > '43' | SELECT AVG("Blank Ends") FROM "table_45662" WHERE "Ends Won" > '43' AND "Shot %" < '78' | 0.084961 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| Which patients have a neolevo5 drug code? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.formulary_drug_cd = "NEOLEVO5" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "NEOLEVO5" = "prescriptions"."formulary_drug_cd" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.192383 |
CREATE TABLE table_52742 ("Rank" FLOAT, "Rider" TEXT, "Team" TEXT, "Speed" TEXT, "Time" TEXT)
| What is the best rank with a time of 1:05.14.10? | SELECT MAX("Rank") FROM table_52742 WHERE "Time" = '1:05.14.10' | SELECT MAX("Rank") FROM "table_52742" WHERE "Time" = '1:05.14.10' | 0.063477 |
CREATE TABLE table_2279413_1 (pct_route_available VARCHAR, type_of_protection VARCHAR)
| For small patent type of protections, what type of PCT route is available? | SELECT pct_route_available FROM table_2279413_1 WHERE type_of_protection = "small patent" | SELECT "pct_route_available" FROM "table_2279413_1" WHERE "small patent" = "type_of_protection" | 0.092773 |
CREATE TABLE table_55959 ("Date" TEXT, "Visitor" TEXT, "Score" TEXT, "Home" TEXT, "Decision" TEXT, "Attendance" FLOAT, "Record" TEXT)
| Name the score when the home is ny islanders and the visitor is montreal | SELECT "Score" FROM table_55959 WHERE "Home" = 'ny islanders' AND "Visitor" = 'montreal' | SELECT "Score" FROM "table_55959" WHERE "Home" = 'ny islanders' AND "Visitor" = 'montreal' | 0.087891 |
CREATE TABLE table_40965 ("Average population ( x 1000 ) " FLOAT, "Live births" FLOAT, "Deaths" FLOAT, "Natural change" FLOAT, "Crude birth rate ( per 1000 ) " FLOAT, "Crude death rate ( per 1000 ) " FLOAT, "Natural change ( per 1000 ) " FLOAT)
| What is the sum of Natural Change, when Natural Change (Per 1000) is greater than 5.4, when Crude Death Rate (Per 1000) is less than 14.3, when Live Births is less than 6,950, and when Crude Birth Rate (Per 1000) is less than 28.2? | SELECT SUM("Natural change") FROM table_40965 WHERE "Natural change (per 1000)" > '5.4' AND "Crude death rate (per 1000)" < '14.3' AND "Live births" < '6,950' AND "Crude birth rate (per 1000)" < '28.2' | SELECT SUM("Natural change") FROM "table_40965" WHERE "Crude birth rate (per 1000)" < '28.2' AND "Crude death rate (per 1000)" < '14.3' AND "Live births" < '6,950' AND "Natural change (per 1000)" > '5.4' | 0.198242 |
CREATE TABLE PROFESSOR (EMP_NUM INT, DEPT_CODE VARCHAR, PROF_OFFICE VARCHAR, PROF_EXTENSION VARCHAR, PROF_HIGH_DEGREE VARCHAR)
CREATE TABLE STUDENT (STU_NUM INT, STU_LNAME VARCHAR, STU_FNAME VARCHAR, STU_INIT VARCHAR, STU_DOB DATETIME, STU_HRS INT, STU_CLASS VARCHAR, STU_GPA FLOAT, STU_TRANSFER DECIMAL, DEPT_CODE VARCHAR, STU_PHONE VARCHAR, PROF_NUM INT)
CREATE TABLE CLASS (CLASS_CODE VARCHAR, CRS_CODE VARCHAR, CLASS_SECTION VARCHAR, CLASS_TIME VARCHAR, CLASS_ROOM VARCHAR, PROF_NUM INT)
CREATE TABLE ENROLL (CLASS_CODE VARCHAR, STU_NUM INT, ENROLL_GRADE VARCHAR)
CREATE TABLE EMPLOYEE (EMP_NUM INT, EMP_LNAME VARCHAR, EMP_FNAME VARCHAR, EMP_INITIAL VARCHAR, EMP_JOBCODE VARCHAR, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
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)
| How many professors for each first name? Show me a bar chart. | SELECT EMP_FNAME, COUNT(EMP_FNAME) FROM PROFESSOR AS T1 JOIN EMPLOYEE AS T2 ON T1.EMP_NUM = T2.EMP_NUM GROUP BY EMP_FNAME | SELECT "EMP_FNAME", COUNT("EMP_FNAME") FROM "PROFESSOR" AS "T1" JOIN "EMPLOYEE" AS "T2" ON "T1"."EMP_NUM" = "T2"."EMP_NUM" GROUP BY "EMP_FNAME" | 0.139648 |
CREATE TABLE table_35494 ("Date" TEXT, "Tournament" TEXT, "Surface" TEXT, "Opponen" TEXT, "Score" TEXT)
| Which tournament happened on september 25, 2006? | SELECT "Tournament" FROM table_35494 WHERE "Date" = 'september 25, 2006' | SELECT "Tournament" FROM "table_35494" WHERE "Date" = 'september 25, 2006' | 0.072266 |
CREATE TABLE table_25938 ("Episode" TEXT, "First broadcast" TEXT, "Seans team" TEXT, "Jasons team" TEXT, "Scores" TEXT)
| Name the total number of scores for 7x10 | SELECT COUNT("Scores") FROM table_25938 WHERE "Episode" = '7x10' | SELECT COUNT("Scores") FROM "table_25938" WHERE "Episode" = '7x10' | 0.064453 |
CREATE TABLE table_77203 ("Draw" FLOAT, "Artist" TEXT, "Song" TEXT, "Points" FLOAT, "Place" TEXT)
| What's the total number of points for grace dunne with a draw over 5? | SELECT COUNT("Points") FROM table_77203 WHERE "Artist" = 'grace dunne' AND "Draw" > '5' | SELECT COUNT("Points") FROM "table_77203" WHERE "Artist" = 'grace dunne' AND "Draw" > '5' | 0.086914 |
CREATE TABLE Faculty (Rank VARCHAR, building VARCHAR)
| How many Professors are in building NEB? | SELECT COUNT(*) FROM Faculty WHERE Rank = "Professor" AND building = "NEB" | SELECT COUNT(*) FROM "Faculty" WHERE "NEB" = "building" AND "Professor" = "Rank" | 0.078125 |
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)
| give me the number of patients whose admission type is elective and discharge location is home health care? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "ELECTIVE" AND demographic.discharge_location = "HOME HEALTH CARE" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "ELECTIVE" = "demographic"."admission_type" AND "HOME HEALTH CARE" = "demographic"."discharge_location" | 0.173828 |
CREATE TABLE table_name_63 (type VARCHAR, rite VARCHAR)
| What is Type for Rite Albanian? | SELECT type FROM table_name_63 WHERE rite = "albanian" | SELECT "type" FROM "table_name_63" WHERE "albanian" = "rite" | 0.058594 |
CREATE TABLE table_24868 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "Production code" TEXT)
| Name the original air date for 3.04 production code | SELECT "Original air date" FROM table_24868 WHERE "Production code" = '3.04' | SELECT "Original air date" FROM "table_24868" WHERE "Production code" = '3.04' | 0.076172 |
CREATE TABLE record (ID INT, Result TEXT, Swimmer_ID INT, Event_ID INT)
CREATE TABLE swimmer (ID INT, name TEXT, Nationality TEXT, meter_100 FLOAT, meter_200 TEXT, meter_300 TEXT, meter_400 TEXT, meter_500 TEXT, meter_600 TEXT, meter_700 TEXT, Time TEXT)
CREATE TABLE event (ID INT, Name TEXT, Stadium_ID INT, Year TEXT)
CREATE TABLE stadium (ID INT, name TEXT, Capacity INT, City TEXT, Country TEXT, Opening_year INT)
| Give me the comparison about ID over the meter_700 , and order by the bar from low to high. | SELECT meter_700, ID FROM swimmer ORDER BY meter_700 | SELECT "meter_700", "ID" FROM "swimmer" ORDER BY "meter_700" NULLS FIRST | 0.070313 |
CREATE TABLE table_61491 ("Place" TEXT, "Player" TEXT, "Country" TEXT, "Score" TEXT, "To par" TEXT, "Money ( \\u00a3 ) " FLOAT)
| What country has player Nick Faldo? | SELECT "Country" FROM table_61491 WHERE "Player" = 'nick faldo' | SELECT "Country" FROM "table_61491" WHERE "Player" = 'nick faldo' | 0.063477 |
CREATE TABLE table_204_655 (id DECIMAL, "year" DECIMAL, "winner" TEXT, "album" TEXT, "other finalists" TEXT)
| what is the last album to win ? | SELECT "album" FROM table_204_655 ORDER BY "year" DESC LIMIT 1 | SELECT "album" FROM "table_204_655" ORDER BY "year" DESC NULLS LAST LIMIT 1 | 0.073242 |
CREATE TABLE EVENTS (service_id VARCHAR, event_details VARCHAR)
| List the service id and details for the events. | SELECT service_id, event_details FROM EVENTS | SELECT "service_id", "event_details" FROM "EVENTS" | 0.048828 |
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 class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note 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 flight_fare (flight_id INT, fare_id INT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE 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 month (month_number INT, month_name TEXT)
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 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 city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
| show me the flights leaving from DAL | SELECT DISTINCT flight.flight_id FROM airport, flight WHERE airport.airport_code = 'DAL' AND flight.from_airport = airport.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport" JOIN "flight" ON "airport"."airport_code" = "flight"."from_airport" WHERE "airport"."airport_code" = 'DAL' | 0.154297 |
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE 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 PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId 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 PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId 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 VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
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 CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange 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)
| Number of Posts by Tag. | SELECT TAG.Id, TAG.TagName, COUNT(*) AS numPosts FROM Posts INNER JOIN PostTags AS PT ON PT.PostId = Posts.Id INNER JOIN Tags AS TAG ON TAG.Id = PT.TagId WHERE PostTypeId = 1 AND CreationDate >= '2019-01-01T00:00:00' GROUP BY TAG.Id, TAG.TagName ORDER BY numPosts DESC | SELECT "TAG"."Id", "TAG"."TagName", COUNT(*) AS "numPosts" FROM "Posts" JOIN "PostTags" AS "PT" ON "PT"."PostId" = "Posts"."Id" JOIN "Tags" AS "TAG" ON "PT"."TagId" = "TAG"."Id" WHERE "CreationDate" >= '2019-01-01T00:00:00' AND "PostTypeId" = 1 GROUP BY "TAG"."Id", "TAG"."TagName" ORDER BY "numPosts" DESC NULLS LAST | 0.30957 |
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom 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 d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label 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 inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod 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 d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what is the first value of the sodium of patient 8116 since 03/2102? | SELECT labevents.valuenum FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 8116) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'sodium') AND STRFTIME('%y-%m', labevents.charttime) >= '2102-03' ORDER BY labevents.charttime LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 8116 GROUP BY "hadm_id"), "_u_1" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'sodium' GROUP BY "itemid") SELECT "labevents"."valuenum" FROM "labevents" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "labevents"."hadm_id" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "labevents"."itemid" WHERE NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m', "labevents"."charttime") >= '2102-03' ORDER BY "labevents"."charttime" NULLS FIRST LIMIT 1 | 0.56543 |
CREATE TABLE table_name_35 (tournament VARCHAR)
| Name the 2009 for 2007 of 2r and tournament of wimbledon | SELECT 2009 FROM table_name_35 WHERE 2007 = "2r" AND tournament = "wimbledon" | SELECT 2009 FROM "table_name_35" WHERE "2r" = 2007 AND "tournament" = "wimbledon" | 0.079102 |
CREATE TABLE table_204_471 (id DECIMAL, "year" DECIMAL, "title" TEXT, "peak chart positions\ ger" DECIMAL, "label" TEXT, "artist" TEXT)
| which willy deville album was released after savoir faire | SELECT "title" FROM table_204_471 WHERE "artist" = 'willy deville' AND "year" > (SELECT "year" FROM table_204_471 WHERE "title" = 'savoir faire') ORDER BY "year" LIMIT 1 | SELECT "title" FROM "table_204_471" WHERE "artist" = 'willy deville' AND "year" > (SELECT "year" FROM "table_204_471" WHERE "title" = 'savoir faire') ORDER BY "year" NULLS FIRST LIMIT 1 | 0.180664 |
CREATE TABLE table_27756314_10 (game INT, score VARCHAR)
| What is the highest game with the score l 96 103 (ot)? | SELECT MAX(game) FROM table_27756314_10 WHERE score = "L 96–103 (OT)" | SELECT MAX("game") FROM "table_27756314_10" WHERE "L 96–103 (OT)" = "score" | 0.073242 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE 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)
| provide the number of patients whose discharge location is dead/expired and procedure short title is ven cath renal dialysis? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.discharge_location = "DEAD/EXPIRED" AND procedures.short_title = "Ven cath renal dialysis" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Ven cath renal dialysis" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "DEAD/EXPIRED" = "demographic"."discharge_location" | 0.249023 |
CREATE TABLE table_name_2 (week_of VARCHAR, semi_finalists VARCHAR, runner_up VARCHAR)
| What is the Week when anke huber chanda rubin shows for Semi finalists, and the Runner-up is meredith mcgrath larisa savchenko? | SELECT week_of FROM table_name_2 WHERE semi_finalists = "anke huber chanda rubin" AND runner_up = "meredith mcgrath larisa savchenko" | SELECT "week_of" FROM "table_name_2" WHERE "anke huber chanda rubin" = "semi_finalists" AND "meredith mcgrath larisa savchenko" = "runner_up" | 0.137695 |
CREATE TABLE table_77296 ("Year" FLOAT, "Team" TEXT, "Co-Drivers" TEXT, "Class" TEXT, "Laps" FLOAT, "Pos." TEXT, "Class Pos." TEXT)
| What is Class Pos., when Year is before 2013, and when Laps is greater than 175? | SELECT "Class Pos." FROM table_77296 WHERE "Year" < '2013' AND "Laps" > '175' | SELECT "Class Pos." FROM "table_77296" WHERE "Laps" > '175' AND "Year" < '2013' | 0.077148 |
CREATE TABLE table_75297 ("Position" TEXT, "Game 1" TEXT, "Game 2" TEXT, "Game 3" TEXT, "Exhibition*" TEXT)
| What position has colin scott as game 1? | SELECT "Position" FROM table_75297 WHERE "Game 1" = 'colin scott' | SELECT "Position" FROM "table_75297" WHERE "Game 1" = 'colin scott' | 0.06543 |
CREATE TABLE table_76735 ("School" TEXT, "Locality" TEXT, "Ages" TEXT, "Capacity" FLOAT, "Ofsted" FLOAT)
| Which School has Ages of 11-16, and an Ofsted smaller than 106142, and a Capacity of 1206? | SELECT "School" FROM table_76735 WHERE "Ages" = '11-16' AND "Ofsted" < '106142' AND "Capacity" = '1206' | SELECT "School" FROM "table_76735" WHERE "Ages" = '11-16' AND "Capacity" = '1206' AND "Ofsted" < '106142' | 0.102539 |
CREATE TABLE time_interval (period TEXT, begin_time INT, end_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 date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE 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 flight_fare (flight_id INT, fare_id 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 time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE 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 aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE airport (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 airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
| tell me the flights from DALLAS to BALTIMORE | 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 = 'DALLAS' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BALTIMORE' 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" = 'DALLAS' 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" = 'BALTIMORE' | 0.495117 |
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)
| early morning flights between CINCINNATI and TAMPA | 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 = 'CINCINNATI' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'TAMPA' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND flight.departure_time BETWEEN 0 AND 800 | 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" = 'CINCINNATI' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."departure_time" <= 800 AND "flight"."departure_time" >= 0 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" = 'TAMPA' | 0.56543 |
CREATE TABLE table_203_161 (id DECIMAL, "pos." TEXT, "div." DECIMAL, "no." DECIMAL, "team" TEXT, "drivers" TEXT, "car" TEXT, "laps" DECIMAL, "qual.\ pos." DECIMAL)
| who was phil ward racing 's other driver ? | SELECT "drivers" FROM table_203_161 WHERE "team" = 'phil ward racing' AND "drivers" <> 'phil ward' | SELECT "drivers" FROM "table_203_161" WHERE "drivers" <> 'phil ward' AND "team" = 'phil ward racing' | 0.097656 |
CREATE TABLE table_46368 ("Year" FLOAT, "Show" TEXT, "Season" FLOAT, "Episode" TEXT, "Episode number" FLOAT, "Original airdate" TEXT)
| What is Show, when Episode Number is 1, when Year is less than 2010, and when Original Airdate is January 20, 2008? | SELECT "Show" FROM table_46368 WHERE "Episode number" = '1' AND "Year" < '2010' AND "Original airdate" = 'january 20, 2008' | SELECT "Show" FROM "table_46368" WHERE "Episode number" = '1' AND "Original airdate" = 'january 20, 2008' AND "Year" < '2010' | 0.12207 |
CREATE TABLE movie (movie_id INT, Title TEXT, Year INT, Director TEXT, Budget_million FLOAT, Gross_worldwide INT)
CREATE TABLE book_club (book_club_id INT, Year INT, Author_or_Editor TEXT, Book_Title TEXT, Publisher TEXT, Category TEXT, Result TEXT)
CREATE TABLE culture_company (Company_name TEXT, Type TEXT, Incorporated_in TEXT, Group_Equity_Shareholding FLOAT, book_club_id TEXT, movie_id TEXT)
| How many books fall into each category, and could you order by the bars in asc? | SELECT Category, COUNT(*) FROM book_club GROUP BY Category ORDER BY Category | SELECT "Category", COUNT(*) FROM "book_club" GROUP BY "Category" ORDER BY "Category" NULLS FIRST | 0.09375 |
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE 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 PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE 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 TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE 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 PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
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 SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
| monthly q and a on GIS. | SELECT 'location' FROM Users AS u | SELECT 'location' FROM "Users" AS "u" | 0.036133 |
CREATE TABLE student (stuid DECIMAL, lname TEXT, fname TEXT, age DECIMAL, sex TEXT, major DECIMAL, advisor DECIMAL, city_code TEXT)
CREATE TABLE member_of_club (stuid DECIMAL, clubid DECIMAL, position TEXT)
CREATE TABLE club (clubid DECIMAL, clubname TEXT, clubdesc TEXT, clublocation TEXT)
| Find the number of members of club 'Pen and Paper Gaming'. | SELECT COUNT(*) FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t1.clubname = "Pen and Paper Gaming" | SELECT COUNT(*) FROM "club" AS "t1" JOIN "member_of_club" AS "t2" ON "t1"."clubid" = "t2"."clubid" JOIN "student" AS "t3" ON "t2"."stuid" = "t3"."stuid" WHERE "Pen and Paper Gaming" = "t1"."clubname" | 0.194336 |
CREATE TABLE table_204_763 (id DECIMAL, "county" TEXT, "km" DECIMAL, "intersecting road" TEXT, "notes" TEXT, "coordinates" TEXT)
| which intersecting road comes before range road 273 ? | SELECT "intersecting road" FROM table_204_763 WHERE id = (SELECT id FROM table_204_763 WHERE "intersecting road" = 'range road 273') - 1 | SELECT "intersecting road" FROM "table_204_763" WHERE "id" = (SELECT "id" FROM "table_204_763" WHERE "intersecting road" = 'range road 273') - 1 | 0.140625 |
CREATE TABLE table_name_61 (date VARCHAR, opponent VARCHAR)
| What is the date of the game against Philadelphia Eagles? | SELECT date FROM table_name_61 WHERE opponent = "philadelphia eagles" | SELECT "date" FROM "table_name_61" WHERE "opponent" = "philadelphia eagles" | 0.073242 |
CREATE TABLE dorm (dormid DECIMAL, dorm_name TEXT, student_capacity DECIMAL, gender TEXT)
CREATE TABLE has_amenity (dormid DECIMAL, amenid DECIMAL)
CREATE TABLE student (stuid DECIMAL, lname TEXT, fname TEXT, age DECIMAL, sex TEXT, major DECIMAL, advisor DECIMAL, city_code TEXT)
CREATE TABLE dorm_amenity (amenid DECIMAL, amenity_name TEXT)
CREATE TABLE lives_in (stuid DECIMAL, dormid DECIMAL, room_number DECIMAL)
| Find the name of dorms that can accommodate more than 300 students. | SELECT dorm_name FROM dorm WHERE student_capacity > 300 | SELECT "dorm_name" FROM "dorm" WHERE "student_capacity" > 300 | 0.05957 |
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE 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 microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE 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 allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
| what are the five most frequent drugs that were prescribed in the same hospital visit to cardiomyopathy male patient, age 40s after they have been diagnosed with cardiomyopathy? | SELECT t3.drugname FROM (SELECT t2.drugname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, diagnosis.diagnosistime, patient.patienthealthsystemstayid FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'cardiomyopathy') AS t1 JOIN (SELECT patient.uniquepid, medication.drugname, medication.drugstarttime, patient.patienthealthsystemstayid FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE patient.gender = 'male' AND patient.age BETWEEN 40 AND 49) AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.diagnosistime < t2.drugstarttime AND t1.patienthealthsystemstayid = t2.patienthealthsystemstayid GROUP BY t2.drugname) AS t3 WHERE t3.c1 <= 5 | WITH "t2" AS (SELECT "patient"."uniquepid", "medication"."drugname", "medication"."drugstarttime", "patient"."patienthealthsystemstayid" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" AND "patient"."age" <= 49 AND "patient"."age" >= 40 AND "patient"."gender" = 'male'), "t3" AS (SELECT "t2"."drugname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" JOIN "t2" AS "t2" ON "diagnosis"."diagnosistime" < "t2"."drugstarttime" AND "patient"."patienthealthsystemstayid" = "t2"."patienthealthsystemstayid" AND "patient"."uniquepid" = "t2"."uniquepid" WHERE "diagnosis"."diagnosisname" = 'cardiomyopathy' GROUP BY "t2"."drugname") SELECT "t3"."drugname" FROM "t3" AS "t3" WHERE "t3"."c1" <= 5 | 0.832031 |
CREATE TABLE table_72257 ("Year" FLOAT, "Premier One" TEXT, "Premier Two" TEXT, "Bristol & Somerset" TEXT, "Glos & Wilts" TEXT, "Bristol & N. Som" TEXT, "Somerset" TEXT, "Gloucestershire" TEXT, "Wiltshire" TEXT)
| what is the somerset for the year 2009? | SELECT "Somerset" FROM table_72257 WHERE "Year" = '2009' | SELECT "Somerset" FROM "table_72257" WHERE "Year" = '2009' | 0.056641 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what number of patients born before the year 2049 had procedure under icd9 code 9962? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.dob_year < "2049" AND procedures.icd9_code = "9962" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "9962" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "2049" > "demographic"."dob_year" | 0.210938 |
CREATE TABLE table_29217650_1 (movies VARCHAR, december_25 VARCHAR)
| What film earmed p3.2 million on December 25? | SELECT movies FROM table_29217650_1 WHERE december_25 = "P3.2 million" | SELECT "movies" FROM "table_29217650_1" WHERE "P3.2 million" = "december_25" | 0.074219 |
CREATE TABLE table_name_43 (report VARCHAR, venue VARCHAR)
| What was the report at State Sports Centre? | SELECT report FROM table_name_43 WHERE venue = "state sports centre" | SELECT "report" FROM "table_name_43" WHERE "state sports centre" = "venue" | 0.072266 |
CREATE TABLE table_12159115_2 (production_code VARCHAR, us_viewers__millions_ VARCHAR)
| What's the production code of the episode seen by 11.64 million US viewers? | SELECT production_code FROM table_12159115_2 WHERE us_viewers__millions_ = "11.64" | SELECT "production_code" FROM "table_12159115_2" WHERE "11.64" = "us_viewers__millions_" | 0.085938 |
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)
| provide the number of patients whose days of hospital stay is greater than 10 and procedure long title is coronary arteriography using two catheters? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.days_stay > "10" AND procedures.long_title = "Coronary arteriography using two catheters" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Coronary arteriography using two catheters" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "10" < "demographic"."days_stay" | 0.248047 |
CREATE TABLE table_name_80 (title VARCHAR, label VARCHAR)
| What was the title for the label mother / mvp / polydor? | SELECT title FROM table_name_80 WHERE label = "mother / mvp / polydor" | SELECT "title" FROM "table_name_80" WHERE "label" = "mother / mvp / polydor" | 0.074219 |
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE 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 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 treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
| how many times has anesthetics - ketamine been done? | SELECT COUNT(*) FROM treatment WHERE treatment.treatmentname = 'anesthetics - ketamine' | SELECT COUNT(*) FROM "treatment" WHERE "treatment"."treatmentname" = 'anesthetics - ketamine' | 0.09082 |
CREATE TABLE table_name_72 (finale VARCHAR, premiere VARCHAR)
| What was the date of the finale for the season that premiered on September 22, 1976? | SELECT finale FROM table_name_72 WHERE premiere = "september 22, 1976" | SELECT "finale" FROM "table_name_72" WHERE "premiere" = "september 22, 1976" | 0.074219 |
CREATE TABLE Student (StuID INT, LName VARCHAR, Fname VARCHAR, Age INT, Sex VARCHAR, Major INT, Advisor INT, city_code VARCHAR)
CREATE TABLE Has_Allergy (StuID INT, Allergy VARCHAR)
CREATE TABLE Allergy_Type (Allergy VARCHAR, AllergyType VARCHAR)
| List the first name of the students who do not have any food type allergy and count them in a bar chart, I want to show X-axis in descending order. | SELECT Fname, COUNT(Fname) FROM Student WHERE NOT StuID IN (SELECT T1.StuID FROM Has_Allergy AS T1 JOIN Allergy_Type AS T2 ON T1.Allergy = T2.Allergy WHERE T2.AllergyType = "food") GROUP BY Fname ORDER BY Fname DESC | WITH "_u_0" AS (SELECT ARRAY_AGG("StuID") AS "", "T2"."AllergyType" AS "_u_1" FROM "Has_Allergy" AS "T1" JOIN "Allergy_Type" AS "T2" ON "T1"."Allergy" = "T2"."Allergy" GROUP BY "T2"."AllergyType") SELECT "Fname", COUNT("Fname") FROM "Student" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."_u_1" = "food" WHERE NOT ARRAY_ANY("_u_0"."", "_x" -> "StuID" = "_x") GROUP BY "Fname" ORDER BY "Fname" DESC NULLS LAST | 0.390625 |
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)
| what is the drug type of subject id 76446? | SELECT prescriptions.drug_type FROM prescriptions WHERE prescriptions.subject_id = "76446" | SELECT "prescriptions"."drug_type" FROM "prescriptions" WHERE "76446" = "prescriptions"."subject_id" | 0.097656 |
CREATE TABLE table_915 ("Club" TEXT, "Played" TEXT, "Won" TEXT, "Drawn" TEXT, "Lost" TEXT, "Points for" TEXT, "Points against" TEXT, "Tries for" TEXT, "Tries against" TEXT, "Try bonus" TEXT, "Losing bonus" TEXT, "Points" TEXT)
| How many points does the club with a try bonus of 10 have? | SELECT "Points" FROM table_915 WHERE "Try bonus" = '10' | SELECT "Points" FROM "table_915" WHERE "Try bonus" = '10' | 0.055664 |
CREATE TABLE musical (musical_id DECIMAL, name TEXT, year DECIMAL, award TEXT, category TEXT, nominee TEXT, result TEXT)
CREATE TABLE actor (actor_id DECIMAL, name TEXT, musical_id DECIMAL, character TEXT, duration TEXT, age DECIMAL)
| How many musicals has each nominee been nominated for? | SELECT nominee, COUNT(*) FROM musical GROUP BY nominee | SELECT "nominee", COUNT(*) FROM "musical" GROUP BY "nominee" | 0.058594 |
CREATE TABLE table_name_65 (time_retired VARCHAR, grid VARCHAR, driver VARCHAR)
| What time/retired has a Grid larger than 3, and a Driver of kimi r ikk nen? | SELECT time_retired FROM table_name_65 WHERE grid > 3 AND driver = "kimi räikkönen" | SELECT "time_retired" FROM "table_name_65" WHERE "driver" = "kimi räikkönen" AND "grid" > 3 | 0.088867 |
CREATE TABLE table_27159 ("Tie no" FLOAT, "Home team" TEXT, "Score 1" TEXT, "Away team" TEXT, "Attendance" FLOAT, "Date" TEXT)
| What was the score when the away team was norwich city? | SELECT "Score 1" FROM table_27159 WHERE "Away team" = 'Norwich City' | SELECT "Score 1" FROM "table_27159" WHERE "Away team" = 'Norwich City' | 0.068359 |
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
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 PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId 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 ReviewTaskResultTypes (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 Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
| Age to Accepted Post. | SELECT Age FROM Posts, Users WHERE OwnerUserId = Posts.Id GROUP BY Age | SELECT "Age" FROM "Posts" CROSS JOIN "Users" WHERE "OwnerUserId" = "Posts"."Id" GROUP BY "Age" | 0.091797 |
CREATE TABLE table_63367 ("Date" TEXT, "Tournament" TEXT, "Winning score" TEXT, "Margin of victory" TEXT, "Runner ( s ) -up" TEXT)
| Which tournament had a runner-up of Val Skinner? | SELECT "Tournament" FROM table_63367 WHERE "Runner(s)-up" = 'val skinner' | SELECT "Tournament" FROM "table_63367" WHERE "Runner(s)-up" = 'val skinner' | 0.073242 |
CREATE TABLE table_16908657_1 (flaps VARCHAR, points VARCHAR)
| Name the number of flaps for 63 points | SELECT COUNT(flaps) FROM table_16908657_1 WHERE points = "63" | SELECT COUNT("flaps") FROM "table_16908657_1" WHERE "63" = "points" | 0.06543 |
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
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 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)
| 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 phone_number and manager_id , and list names in asc order. | SELECT PHONE_NUMBER, MANAGER_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY PHONE_NUMBER | SELECT "PHONE_NUMBER", "MANAGER_ID" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "PHONE_NUMBER" NULLS FIRST | 0.206055 |
CREATE TABLE table_name_58 (attendance VARCHAR, result VARCHAR)
| What was the Attendance in the game with a Result of won 5-2? | SELECT attendance FROM table_name_58 WHERE result = "won 5-2" | SELECT "attendance" FROM "table_name_58" WHERE "result" = "won 5-2" | 0.06543 |
Subsets and Splits