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CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is age and gender of subject id 84129? | SELECT demographic.age, demographic.gender FROM demographic WHERE demographic.subject_id = "84129" | SELECT "demographic"."age", "demographic"."gender" FROM "demographic" WHERE "84129" = "demographic"."subject_id" | 0.109375 |
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
| when did patient 16554 first come out of hospital in this year? | SELECT admissions.dischtime FROM admissions WHERE admissions.subject_id = 16554 AND DATETIME(admissions.dischtime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') ORDER BY admissions.dischtime LIMIT 1 | SELECT "admissions"."dischtime" FROM "admissions" WHERE "admissions"."subject_id" = 16554 AND DATETIME("admissions"."dischtime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') ORDER BY "admissions"."dischtime" FETCH FIRST 1 ROWS ONLY | 0.251953 |
CREATE TABLE table_name_90 (award VARCHAR2, year VARCHAR2, episode VARCHAR2)
| What award has a year earlier than 2004 and the episode shows ? | SELECT award FROM table_name_90 WHERE year < 2004 AND episode = "—" | SELECT "award" FROM "table_name_90" WHERE "episode" = "—" AND "year" < 2004 | 0.073242 |
CREATE TABLE table_73239 ("Type of aphasia" CLOB, "Repetition" CLOB, "Naming" CLOB, "Auditory comprehension" CLOB, "Fluency" CLOB)
| Name the comprehension for non-fluent, effortful, slow | SELECT "Auditory comprehension" FROM table_73239 WHERE "Fluency" = 'non-fluent, effortful, slow' | SELECT "Auditory comprehension" FROM "table_73239" WHERE "Fluency" = 'non-fluent, effortful, slow' | 0.095703 |
CREATE TABLE table_52619 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| How many points did the visiting team score at south melbourne? | SELECT "Away team score" FROM table_52619 WHERE "Home team" = 'south melbourne' | SELECT "Away team score" FROM "table_52619" WHERE "Home team" = 'south melbourne' | 0.079102 |
CREATE TABLE table_name_32 (laps NUMBER, driver VARCHAR2)
| What is the lowest number of laps obtained by driver Nick Heidfeld? | SELECT MIN(laps) FROM table_name_32 WHERE driver = "nick heidfeld" | SELECT MIN("laps") FROM "table_name_32" WHERE "driver" = "nick heidfeld" | 0.070313 |
CREATE TABLE table_2541 ("Season" FLOAT, "Series" CLOB, "Team" CLOB, "Races" FLOAT, "Wins" FLOAT, "Poles" FLOAT, "F/Laps" FLOAT, "Podiums" FLOAT, "Points" CLOB, "Position" CLOB)
| How many positions have f/laps of 1 and british formula three series? | SELECT COUNT("Position") FROM table_2541 WHERE "F/Laps" = '1' AND "Series" = 'British Formula Three' | SELECT COUNT("Position") FROM "table_2541" WHERE "F/Laps" = '1' AND "Series" = 'British Formula Three' | 0.099609 |
CREATE TABLE table_1897 ("Position" FLOAT, "Sail Number" CLOB, "Yacht" CLOB, "State/Country" CLOB, "Yacht Type" CLOB, "LOA ( Metres ) " CLOB, "Skipper" CLOB, "Elapsed Time d:hh:mm:ss" CLOB)
| When aspect computing is the yacht what is the sail number? | SELECT "Sail Number" FROM table_1897 WHERE "Yacht" = 'Aspect Computing' | SELECT "Sail Number" FROM "table_1897" WHERE "Yacht" = 'Aspect Computing' | 0.071289 |
CREATE TABLE table_42127 ("Year" FLOAT, "Country" CLOB, "Team" CLOB, "Individual" CLOB, "Location" CLOB, "Runners-up" CLOB)
| How many years was the individual winner from the United States was Tiger Woods? | SELECT COUNT("Year") FROM table_42127 WHERE "Country" = 'united states' AND "Individual" = 'tiger woods' | SELECT COUNT("Year") FROM "table_42127" WHERE "Country" = 'united states' AND "Individual" = 'tiger woods' | 0.103516 |
CREATE TABLE table_173103_1 (max_pressure VARCHAR2, muzzle_energy VARCHAR2)
| What is the max pressure of the cartridge where the muzzle energy is 201ft lbf (273 j)? | SELECT max_pressure FROM table_173103_1 WHERE muzzle_energy = "201ft•lbf (273 J)" | SELECT "max_pressure" FROM "table_173103_1" WHERE "201ft•lbf (273 J)" = "muzzle_energy" | 0.084961 |
CREATE TABLE table_56322 ("Episode" CLOB, "Title" CLOB, "Date of emission" CLOB, "Audience" CLOB, "Share" CLOB)
| Which title has a share of 19,9% | SELECT "Title" FROM table_56322 WHERE "Share" = '19,9%' | SELECT "Title" FROM "table_56322" WHERE "Share" = '19,9%' | 0.055664 |
CREATE TABLE nuclear_power_plants (id CLOB, name CLOB, latitude CLOB, longitude CLOB, country CLOB, status CLOB, reactortype CLOB, reactormodel CLOB, constructionstartat CLOB, operationalfrom CLOB, operationalto CLOB, capacity CLOB, lastupdatedat CLOB, source CLOB)
| Which country lead the total capacity of the power plants it held? | SELECT country FROM nuclear_power_plants GROUP BY country ORDER BY SUM(capacity) DESC LIMIT 1 | SELECT "country" FROM "nuclear_power_plants" GROUP BY "country" ORDER BY SUM("capacity") DESC FETCH FIRST 1 ROWS ONLY | 0.114258 |
CREATE TABLE table_73468 ("Episode Air Date" CLOB, "Audition City" CLOB, "First Audition Date" CLOB, "Audition Venue" CLOB, "Callback Date" CLOB, "Callback Venue" CLOB, "Guest Judge" CLOB, "Golden Tickets" FLOAT)
| Name the total number of golden tickets being rosen shingle creek resort | SELECT COUNT("Golden Tickets") FROM table_73468 WHERE "Callback Venue" = 'Rosen Shingle Creek Resort' | SELECT COUNT("Golden Tickets") FROM "table_73468" WHERE "Callback Venue" = 'Rosen Shingle Creek Resort' | 0.100586 |
CREATE TABLE table_70992 ("Year" CLOB, "Venue" CLOB, "Winners" CLOB, "2nd place" CLOB, "3rd place" CLOB)
| Who came in 3rd at Venue? | SELECT "3rd place" FROM table_70992 WHERE "Venue" = 'venue' | SELECT "3rd place" FROM "table_70992" WHERE "Venue" = 'venue' | 0.05957 |
CREATE TABLE table_51208 ("Pick #" FLOAT, "CFL Team" CLOB, "Player" CLOB, "Position" CLOB, "College" CLOB)
| Who was recruited from Calgary? | SELECT "Player" FROM table_51208 WHERE "College" = 'calgary' | SELECT "Player" FROM "table_51208" WHERE "College" = 'calgary' | 0.060547 |
CREATE TABLE table_30520 ("Letters" CLOB, "Organization" CLOB, "Nickname" CLOB, "Founding Date" CLOB, "Founding University" CLOB, "Type" CLOB, "Canadian Chapters" CLOB)
| When are the letters what is the nickname? | SELECT "Nickname" FROM table_30520 WHERE "Letters" = 'ΚΑΘ' | SELECT "Nickname" FROM "table_30520" WHERE "Letters" = 'ΚΑΘ' | 0.058594 |
CREATE TABLE repair (repair_ID NUMBER, name CLOB, Launch_Date CLOB, Notes CLOB)
CREATE TABLE technician (technician_id FLOAT, Name CLOB, Team CLOB, Starting_Year FLOAT, Age NUMBER)
CREATE TABLE machine (Machine_ID NUMBER, Making_Year NUMBER, Class CLOB, Team CLOB, Machine_series CLOB, value_points FLOAT, quality_rank NUMBER)
CREATE TABLE repair_assignment (technician_id NUMBER, repair_ID NUMBER, Machine_ID NUMBER)
| Create a bar chart showing the total number across team | SELECT Team, COUNT(*) FROM technician GROUP BY Team | SELECT "Team", COUNT(*) FROM "technician" GROUP BY "Team" | 0.055664 |
CREATE TABLE Faculty (lname VARCHAR2, facID VARCHAR2)
CREATE TABLE Faculty_participates_in (facID VARCHAR2, actid VARCHAR2)
CREATE TABLE activity (activity_name VARCHAR2)
| Find the first names of the faculty members who are playing Canoeing or Kayaking. | SELECT DISTINCT T1.lname FROM Faculty AS T1 JOIN Faculty_participates_in AS T2 ON T1.facID = T2.facID JOIN activity AS T3 ON T2.actid = T2.actid WHERE T3.activity_name = 'Canoeing' OR T3.activity_name = 'Kayaking' | SELECT DISTINCT "T1"."lname" FROM "Faculty" "T1" JOIN "Faculty_participates_in" "T2" ON "T1"."facID" = "T2"."facID" JOIN "activity" "T3" ON "T2"."actid" = "T2"."actid" AND ("T3"."activity_name" = 'Canoeing' OR "T3"."activity_name" = 'Kayaking') | 0.238281 |
CREATE TABLE table_train_222 ("id" NUMBER, "autoimmune_disease" BOOLEAN, "diabetic" CLOB, "allergy_to_hcq" BOOLEAN, "fasting_plasma_glucose" NUMBER, "fasting_serum_insulin" NUMBER, "NOUSE" FLOAT)
| fasting glucose 100 _ 125 mg / dl | SELECT * FROM table_train_222 WHERE fasting_plasma_glucose >= 100 AND fasting_plasma_glucose <= 125 | SELECT * FROM "table_train_222" WHERE "fasting_plasma_glucose" <= 125 AND "fasting_plasma_glucose" >= 100 | 0.102539 |
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
| show flights from DENVER 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 = 'DENVER' 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" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'DENVER' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SAN FRANCISCO' | 0.487305 |
CREATE TABLE table_22073745_1 (languages VARCHAR2, film_title_used_in_nomination VARCHAR2)
| How many languages have elles as the film title used in nomination? | SELECT COUNT(languages) FROM table_22073745_1 WHERE film_title_used_in_nomination = "Elles" | SELECT COUNT("languages") FROM "table_22073745_1" WHERE "Elles" = "film_title_used_in_nomination" | 0.094727 |
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
| Finding Front End developers in Kochi and Trivandram. | SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS "#", u.Id AS "user_link", u.Reputation, COUNT(p.Id) FROM Users AS u INNER JOIN Posts AS p ON p.OwnerUserId = u.Id INNER JOIN PostTags AS pt ON pt.PostId = p.Id INNER JOIN Tags AS t ON t.Id = pt.TagId WHERE (LOWER(Location) LIKE LOWER('%kochi%') OR LOWER(Location) LIKE LOWER('%trivandram%')) AND (t.TagName = 'html' OR t.TagName = 'css' OR t.TagName = 'css3' OR t.TagName = 'html5' OR t.TagName = 'bootstrap') GROUP BY u.Reputation, u.Id ORDER BY Reputation DESC | SELECT ROW_NUMBER() OVER (ORDER BY "Reputation" DESC) AS "#", "u"."Id" AS "user_link", "u"."Reputation", COUNT("p"."Id") FROM "Users" "u" JOIN "Posts" "p" ON "p"."OwnerUserId" = "u"."Id" JOIN "PostTags" "pt" ON "p"."Id" = "pt"."PostId" JOIN "Tags" "t" ON "pt"."TagId" = "t"."Id" AND ("t"."TagName" = 'bootstrap' OR "t"."TagName" = 'css' OR "t"."TagName" = 'css3' OR "t"."TagName" = 'html' OR "t"."TagName" = 'html5') WHERE LOWER("Location") LIKE LOWER('%kochi%') OR LOWER("Location") LIKE LOWER('%trivandram%') GROUP BY "u"."Reputation", "u"."Id" ORDER BY "Reputation" DESC | 0.55957 |
CREATE TABLE table_name_35 (frequency_mhz NUMBER, call_sign VARCHAR2)
| Which Frequency MHz has a Call sign of k210dv? | SELECT MAX(frequency_mhz) FROM table_name_35 WHERE call_sign = "k210dv" | SELECT MAX("frequency_mhz") FROM "table_name_35" WHERE "call_sign" = "k210dv" | 0.075195 |
CREATE TABLE table_name_10 (pujehun NUMBER, measure VARCHAR2)
| What is the average pjehun measured by female enrollment? | SELECT AVG(pujehun) FROM table_name_10 WHERE measure = "female enrollment" | SELECT AVG("pujehun") FROM "table_name_10" WHERE "female enrollment" = "measure" | 0.078125 |
CREATE TABLE Staff (staff_id NUMBER, staff_address_id NUMBER, nickname VARCHAR2, first_name VARCHAR2, middle_name VARCHAR2, last_name VARCHAR2, date_of_birth DATETIME, date_joined_staff DATETIME, date_left_staff DATETIME)
CREATE TABLE Lessons (lesson_id NUMBER, customer_id NUMBER, lesson_status_code VARCHAR2, staff_id NUMBER, vehicle_id NUMBER, lesson_date DATETIME, lesson_time VARCHAR2, price DOUBLE PRECISION)
CREATE TABLE Customers (customer_id NUMBER, customer_address_id NUMBER, customer_status_code VARCHAR2, date_became_customer DATETIME, date_of_birth DATETIME, first_name VARCHAR2, last_name VARCHAR2, amount_outstanding DOUBLE PRECISION, email_address VARCHAR2, phone_number VARCHAR2, cell_mobile_phone_number VARCHAR2)
CREATE TABLE Customer_Payments (customer_id NUMBER, datetime_payment DATETIME, payment_method_code VARCHAR2, amount_payment DOUBLE PRECISION)
CREATE TABLE Addresses (address_id NUMBER, line_1_number_building VARCHAR2, city VARCHAR2, zip_postcode VARCHAR2, state_province_county VARCHAR2, country VARCHAR2)
CREATE TABLE Vehicles (vehicle_id NUMBER, vehicle_details VARCHAR2)
| For each customer status code, how many customers are classified that way. Visualize by bar chart. | SELECT customer_status_code, COUNT(*) FROM Customers GROUP BY customer_status_code | SELECT "customer_status_code", COUNT(*) FROM "Customers" GROUP BY "customer_status_code" | 0.085938 |
CREATE TABLE table_203_751 (id NUMBER, "year" NUMBER, "title" CLOB, "peak chart positions\ us\ air" NUMBER, "peak chart positions\ us\ main" NUMBER, "peak chart positions\ us\ mod" NUMBER, "album" CLOB)
| which toadies ' song ranked highest in the us main chart in 1995 ? | SELECT "title" FROM table_203_751 WHERE "year" = 1995 ORDER BY "peak chart positions\nus\nmain" LIMIT 1 | SELECT "title" FROM "table_203_751" WHERE "year" = 1995 ORDER BY "peak chart positions\nus\nmain" FETCH FIRST 1 ROWS ONLY | 0.118164 |
CREATE TABLE table_77105 ("Tournament" CLOB, "1989" CLOB, "1990" CLOB, "1991" CLOB, "1992" CLOB, "1993" CLOB, "1994" CLOB, "1995" CLOB, "1996" CLOB, "1997" CLOB, "1998" CLOB, "1999" CLOB, "2000" CLOB, "2001" CLOB, "2002" CLOB, "2003" CLOB, "Career SR" CLOB, "Career Win-Loss" CLOB)
| What was the 1997 value when 2002 was A and 2003 was 1R? | SELECT "1997" FROM table_77105 WHERE "2002" = 'a' AND "2003" = '1r' | SELECT "1997" FROM "table_77105" WHERE "2002" = 'a' AND "2003" = '1r' | 0.067383 |
CREATE TABLE table_name_26 (grid NUMBER, driver VARCHAR2, laps VARCHAR2)
| What is the average grid for johnny dumfries with less than 8 laps? | SELECT AVG(grid) FROM table_name_26 WHERE driver = "johnny dumfries" AND laps < 8 | SELECT AVG("grid") FROM "table_name_26" WHERE "driver" = "johnny dumfries" AND "laps" < 8 | 0.086914 |
CREATE TABLE table_name_72 (points VARCHAR2, constructor VARCHAR2, wins VARCHAR2)
| what is the total number of points when the constructor is citro n total world rally team and the wins is less than 7? | SELECT COUNT(points) FROM table_name_72 WHERE constructor = "citroën total world rally team" AND wins < 7 | SELECT COUNT("points") FROM "table_name_72" WHERE "citroën total world rally team" = "constructor" AND "wins" < 7 | 0.110352 |
CREATE TABLE table_48943 ("Rank" FLOAT, "Name" CLOB, "Nation" CLOB, "Points" FLOAT, "Placings" FLOAT)
| What is the Name of the Players with a Rank of 18? | SELECT "Name" FROM table_48943 WHERE "Rank" = '18' | SELECT "Name" FROM "table_48943" WHERE "Rank" = '18' | 0.050781 |
CREATE TABLE table_15669 ("Film" CLOB, "Director ( s ) " CLOB, "Producer ( s ) " CLOB, "Recipient" CLOB, "Date" CLOB, "Award" CLOB)
| What is the film dated 22/3/06 and redhouse lane / perfect world was the recipient? | SELECT "Film" FROM table_15669 WHERE "Date" = '22/3/06' AND "Recipient" = 'redhouse lane / perfect world' | SELECT "Film" FROM "table_15669" WHERE "Date" = '22/3/06' AND "Recipient" = 'redhouse lane / perfect world' | 0.104492 |
CREATE TABLE table_4709 ("Tournament" CLOB, "1943" CLOB, "1944" CLOB, "1945" CLOB, "1948" CLOB, "1949" CLOB, "1951" CLOB, "1954" CLOB, "1956\\u20131968" CLOB, "1969" CLOB, "Career SR" CLOB)
| What did the tournament with a QF in 1969 get in 1956-1968? | SELECT "1956\u20131968" FROM table_4709 WHERE "1969" = 'qf' | SELECT "1956\u20131968" FROM "table_4709" WHERE "1969" = 'qf' | 0.05957 |
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
| is yesterday patient 5828's arterial bp [systolic] normal? | SELECT COUNT(*) > 0 FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 5828)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [systolic]' AND d_items.linksto = 'chartevents') AND chartevents.valuenum BETWEEN systolic_bp_lower AND systolic_bp_upper AND DATETIME(chartevents.charttime, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-1 day') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 5828 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'arterial bp [systolic]' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT COUNT(*) > 0 FROM "chartevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE "chartevents"."valuenum" <= "systolic_bp_upper" AND "chartevents"."valuenum" >= "systolic_bp_lower" AND DATETIME("chartevents"."charttime", 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-1 day') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL | 0.868164 |
CREATE TABLE Faculty (FacID NUMBER, Lname VARCHAR2, Fname VARCHAR2, Rank VARCHAR2, Sex VARCHAR2, Phone NUMBER, Room VARCHAR2, Building VARCHAR2)
CREATE TABLE Enrolled_in (StuID NUMBER, CID VARCHAR2, Grade VARCHAR2)
CREATE TABLE Department (DNO NUMBER, Division VARCHAR2, DName VARCHAR2, Room VARCHAR2, Building VARCHAR2, DPhone NUMBER)
CREATE TABLE Student (StuID NUMBER, LName VARCHAR2, Fname VARCHAR2, Age NUMBER, Sex VARCHAR2, Major NUMBER, Advisor NUMBER, city_code VARCHAR2)
CREATE TABLE Member_of (FacID NUMBER, DNO NUMBER, Appt_Type VARCHAR2)
CREATE TABLE Gradeconversion (lettergrade VARCHAR2, gradepoint FLOAT)
CREATE TABLE Course (CID VARCHAR2, CName VARCHAR2, Credits NUMBER, Instructor NUMBER, Days VARCHAR2, Hours VARCHAR2, DNO NUMBER)
CREATE TABLE Minor_in (StuID NUMBER, DNO NUMBER)
| Give me the comparison about the sum of Credits over the Days , and group by attribute Days by a bar chart. | SELECT Days, SUM(Credits) FROM Course GROUP BY Days ORDER BY Credits | SELECT "Days", SUM("Credits") FROM "Course" GROUP BY "Days" ORDER BY "Credits" | 0.076172 |
CREATE TABLE climber (Climber_ID NUMBER, Name CLOB, Country CLOB, Time CLOB, Points FLOAT, Mountain_ID NUMBER)
CREATE TABLE mountain (Mountain_ID NUMBER, Name CLOB, Height FLOAT, Prominence FLOAT, Range CLOB, Country CLOB)
| Return the number of the countries of the mountains that have a height larger than 5000, and I want to list y axis from low to high order. | SELECT Country, COUNT(Country) FROM mountain WHERE Height > 5000 GROUP BY Country ORDER BY COUNT(Country) | SELECT "Country", COUNT("Country") FROM "mountain" WHERE "Height" > 5000 GROUP BY "Country" ORDER BY COUNT("Country") | 0.114258 |
CREATE TABLE table_70259 ("1-person dive" CLOB, "2-person dive" CLOB, "3-person dive" CLOB, "Surface" CLOB, "Cage dive" CLOB, "Seal/turtle decoy" CLOB, "Catch release" CLOB, "Attached camera" CLOB, "Remote camera" CLOB)
| What is the 3-person dive that has none as the 2-person dive? | SELECT "3-person dive" FROM table_70259 WHERE "2-person dive" = 'none' | SELECT "3-person dive" FROM "table_70259" WHERE "2-person dive" = 'none' | 0.070313 |
CREATE TABLE table_name_11 (winner VARCHAR2, third_place VARCHAR2)
| Who was the winner when the third place was fernando meligeni? | SELECT winner FROM table_name_11 WHERE third_place = "fernando meligeni" | SELECT "winner" FROM "table_name_11" WHERE "fernando meligeni" = "third_place" | 0.076172 |
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
| For those employees who do not work in departments with managers that have ids between 100 and 200, visualize a bar chart about the distribution of hire_date and the amount of hire_date bin hire_date by time, and I want to rank from high to low by the y-axis. | SELECT HIRE_DATE, COUNT(HIRE_DATE) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY COUNT(HIRE_DATE) DESC | SELECT "HIRE_DATE", COUNT("HIRE_DATE") FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY COUNT("HIRE_DATE") DESC | 0.206055 |
CREATE TABLE table_60355 ("Tournament" CLOB, "1988" CLOB, "1990" CLOB, "1991" CLOB, "1992" CLOB, "1993" CLOB, "1995" CLOB, "1996" CLOB, "1997" CLOB, "1998" CLOB, "1999" CLOB, "2000" CLOB, "2001" CLOB, "Career SR" CLOB, "Career Win-Loss" CLOB)
| What was the 1999 Tournament at the US Open? | SELECT "1999" FROM table_60355 WHERE "Tournament" = 'us open' | SELECT "1999" FROM "table_60355" WHERE "Tournament" = 'us open' | 0.061523 |
CREATE TABLE table_203_790 (id NUMBER, "week" NUMBER, "date" CLOB, "opponent" CLOB, "result" CLOB, "attendance" NUMBER)
| how many games were played in the month of november | SELECT COUNT(*) FROM table_203_790 WHERE "date" = 11 | SELECT COUNT(*) FROM "table_203_790" WHERE "date" = 11 | 0.052734 |
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
| For those employees who did not have any job in the past, visualize a bar chart about the distribution of hire_date and the average of employee_id bin hire_date by weekday. | SELECT HIRE_DATE, AVG(EMPLOYEE_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) | SELECT "HIRE_DATE", AVG("EMPLOYEE_ID") FROM "employees" WHERE NOT "EMPLOYEE_ID" IN (SELECT "EMPLOYEE_ID" FROM "job_history") | 0.121094 |
CREATE TABLE individuals (individual_id NUMBER, individual_first_name CLOB, individual_middle_name CLOB, inidividual_phone CLOB, individual_email CLOB, individual_address CLOB, individual_last_name CLOB)
CREATE TABLE forms (form_id NUMBER, form_type_code CLOB, service_id NUMBER, form_number CLOB, form_name CLOB, form_description CLOB)
CREATE TABLE party_services (booking_id NUMBER, customer_id NUMBER, service_id NUMBER, service_datetime TIME, booking_made_date TIME)
CREATE TABLE addresses (address_id NUMBER, line_1_number_building CLOB, town_city CLOB, zip_postcode CLOB, state_province_county CLOB, country CLOB)
CREATE TABLE parties (party_id NUMBER, payment_method_code CLOB, party_phone CLOB, party_email CLOB)
CREATE TABLE services (service_id NUMBER, service_type_code CLOB, service_name CLOB, service_descriptio CLOB)
CREATE TABLE party_addresses (party_id NUMBER, address_id NUMBER, date_address_from TIME, address_type_code CLOB, date_address_to TIME)
CREATE TABLE party_forms (party_id NUMBER, form_id NUMBER, date_completion_started TIME, form_status_code CLOB, date_fully_completed TIME)
CREATE TABLE organization_contact_individuals (individual_id NUMBER, organization_id NUMBER, date_contact_from TIME, date_contact_to TIME)
CREATE TABLE organizations (organization_id NUMBER, date_formed TIME, organization_name CLOB, uk_vat_number CLOB)
| Find the name of the youngest organization. | SELECT organization_name FROM organizations ORDER BY date_formed DESC LIMIT 1 | SELECT "organization_name" FROM "organizations" ORDER BY "date_formed" DESC FETCH FIRST 1 ROWS ONLY | 0.09668 |
CREATE TABLE table_36935 ("Channel" FLOAT, "Station" CLOB, "Video" CLOB, "Aspect" CLOB, "PSIP Short Name" CLOB, "Programming" CLOB)
| What is the short name having video of 720p and programming of Main KSTC-TV programming? | SELECT "PSIP Short Name" FROM table_36935 WHERE "Video" = '720p' AND "Programming" = 'main kstc-tv programming' | SELECT "PSIP Short Name" FROM "table_36935" WHERE "Programming" = 'main kstc-tv programming' AND "Video" = '720p' | 0.110352 |
CREATE TABLE table_1908049_1 (reg_season VARCHAR2, year VARCHAR2)
| in the year 1995/96 what was the reg. season | SELECT reg_season FROM table_1908049_1 WHERE year = "1995/96" | SELECT "reg_season" FROM "table_1908049_1" WHERE "1995/96" = "year" | 0.06543 |
CREATE TABLE table_23512864_4 (election_year NUMBER, assembly VARCHAR2)
| If the assembly is the sixth assembly, what is the maximum election year? | SELECT MAX(election_year) FROM table_23512864_4 WHERE assembly = "Sixth assembly" | SELECT MAX("election_year") FROM "table_23512864_4" WHERE "Sixth assembly" = "assembly" | 0.084961 |
CREATE TABLE lessons (lesson_id NUMBER, customer_id NUMBER, lesson_status_code CLOB, staff_id NUMBER, vehicle_id NUMBER, lesson_date TIME, lesson_time CLOB, price NUMBER)
CREATE TABLE customer_payments (customer_id NUMBER, datetime_payment TIME, payment_method_code CLOB, amount_payment NUMBER)
CREATE TABLE vehicles (vehicle_id NUMBER, vehicle_details CLOB)
CREATE TABLE addresses (address_id NUMBER, line_1_number_building CLOB, city CLOB, zip_postcode CLOB, state_province_county CLOB, country CLOB)
CREATE TABLE staff (staff_id NUMBER, staff_address_id NUMBER, nickname CLOB, first_name CLOB, middle_name CLOB, last_name CLOB, date_of_birth TIME, date_joined_staff TIME, date_left_staff TIME)
CREATE TABLE customers (customer_id NUMBER, customer_address_id NUMBER, customer_status_code CLOB, date_became_customer TIME, date_of_birth TIME, first_name CLOB, last_name CLOB, amount_outstanding NUMBER, email_address CLOB, phone_number CLOB, cell_mobile_phone_number CLOB)
| List lesson id of all lessons taught by staff with first name as Janessa, last name as Sawayn and nickname containing letter 's'. | SELECT T1.lesson_id FROM lessons AS T1 JOIN staff AS T2 ON T1.staff_id = T2.staff_id WHERE T2.first_name = "Janessa" AND T2.last_name = "Sawayn" AND nickname LIKE "%s%" | SELECT "T1"."lesson_id" FROM "lessons" "T1" JOIN "staff" "T2" ON "Janessa" = "T2"."first_name" AND "Sawayn" = "T2"."last_name" AND "T1"."staff_id" = "T2"."staff_id" WHERE "nickname" LIKE "%s%" | 0.1875 |
CREATE TABLE table_31529 ("Player" CLOB, "Current singles ranking" CLOB, "Current doubles ranking" CLOB, "First year played" FLOAT, "Ties played" FLOAT, "Total W\\u2013L" CLOB, "Singles W\\u2013L" CLOB, "Doubles W\\u2013L" CLOB)
| Tell me the doubles W-L for player of laurynas grigelis | SELECT "Doubles W\u2013L" FROM table_31529 WHERE "Player" = 'laurynas grigelis' | SELECT "Doubles W\u2013L" FROM "table_31529" WHERE "Player" = 'laurynas grigelis' | 0.079102 |
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
| Getting all linked posts with java tag. | SELECT l.Id, l.PostId AS q1Id, r.Tags, r.PostTypeId AS PostTypeId, r.Title AS q1Title, r.Body AS q1Body, l.RelatedPostId AS q2Id, p.Title AS q2Title, p.Body AS q2Body, LinkTypeId AS type FROM PostLinks AS l JOIN Posts AS r ON r.Id = l.PostId JOIN Posts AS p ON p.Id = l.RelatedPostId WHERE p.Tags = 'java' AND r.Tags = 'java' AND l.Id > 1 ORDER BY l.Id LIMIT 10 | SELECT "l"."Id", "l"."PostId" AS "q1Id", "r"."Tags", "r"."PostTypeId" AS "PostTypeId", "r"."Title" AS "q1Title", "r"."Body" AS "q1Body", "l"."RelatedPostId" AS "q2Id", "p"."Title" AS "q2Title", "p"."Body" AS "q2Body", "LinkTypeId" AS "type" FROM "PostLinks" "l" JOIN "Posts" "p" ON "l"."RelatedPostId" = "p"."Id" AND "p"."Tags" = 'java' JOIN "Posts" "r" ON "l"."PostId" = "r"."Id" AND "r"."Tags" = 'java' WHERE "l"."Id" > 1 ORDER BY "l"."Id" FETCH FIRST 10 ROWS ONLY | 0.455078 |
CREATE TABLE PersonFriend (name VARCHAR2, friend VARCHAR2, year NUMBER)
CREATE TABLE Person (name VARCHAR2, age NUMBER, city CLOB, gender CLOB, job CLOB)
| How old is each gender, on average Plot them as bar chart, order by the X-axis in ascending. | SELECT gender, AVG(age) FROM Person GROUP BY gender ORDER BY gender | SELECT "gender", AVG("age") FROM "Person" GROUP BY "gender" ORDER BY "gender" | 0.075195 |
CREATE TABLE table_25387 ("Player" CLOB, "Games Played" FLOAT, "Field Goals" FLOAT, "Three Pointers" FLOAT, "Free Throws" FLOAT, "Rebounds" FLOAT, "Assists" FLOAT, "Blocks" FLOAT, "Steals" FLOAT, "Points" FLOAT)
| Name the least points | SELECT MIN("Points") FROM table_25387 | SELECT MIN("Points") FROM "table_25387" | 0.038086 |
CREATE TABLE table_train_200 ("id" NUMBER, "gender" CLOB, "fasting_triglycerides" NUMBER, "fasting_plasma_glucose" NUMBER, "smoking" BOOLEAN, "body_mass_index_bmi" FLOAT, "age" FLOAT, "NOUSE" FLOAT)
| non _ smoker | SELECT * FROM table_train_200 WHERE smoking = 0 | SELECT * FROM "table_train_200" WHERE "smoking" = 0 | 0.049805 |
CREATE TABLE table_59408 ("Year" FLOAT, "Gold" CLOB, "Silver" CLOB, "Bronze" CLOB, "Notes" CLOB)
| What year did Yuri Omeltchenko win Silver? | SELECT "Year" FROM table_59408 WHERE "Silver" = 'yuri omeltchenko' | SELECT "Year" FROM "table_59408" WHERE "Silver" = 'yuri omeltchenko' | 0.066406 |
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
| Question per Day on StackExchange. | SELECT Date AS "dates", ROUND((SUM(pd.Questions) * 1.00 / COUNT(pd.Date)), 2) AS "questions_per_day" FROM (SELECT SUM(CASE WHEN p.PostTypeId = 1 THEN 1 ELSE 0 END) AS "questions", DATE(p.CreationDate) AS "date" FROM Posts AS p GROUP BY DATE(p.CreationDate)) AS pd GROUP BY Date ORDER BY Date DESC | WITH "pd" AS (SELECT MAX(1) AS "_" FROM "Posts" "p" GROUP BY CAST("p"."CreationDate" AS DATE)) SELECT "Date" AS "dates", ROUND((SUM("pd"."Questions") * 1.00 / NULLIF(COUNT("pd"."Date"), 0)), 2) AS "questions_per_day" FROM "pd" "pd" GROUP BY "Date" ORDER BY "Date" DESC | 0.261719 |
CREATE TABLE table_62718 ("Elector" CLOB, "Place of birth" CLOB, "Cardinalatial title" CLOB, "Elevated" CLOB, "Elevator" CLOB)
| What is the birth place for someone elevated by Lucius III, and has the Cardinalatial title of Deacon of S. Giorgio in Velabro? | SELECT "Place of birth" FROM table_62718 WHERE "Elevator" = 'lucius iii' AND "Cardinalatial title" = 'deacon of s. giorgio in velabro' | SELECT "Place of birth" FROM "table_62718" WHERE "Cardinalatial title" = 'deacon of s. giorgio in velabro' AND "Elevator" = 'lucius iii' | 0.132813 |
CREATE TABLE table_49673 ("Year" FLOAT, "Entrant" CLOB, "Chassis" CLOB, "Engine" CLOB, "Points" CLOB)
| who is the entrant when the points is 42 (45) and the chassis is brabham bt20? | SELECT "Entrant" FROM table_49673 WHERE "Points" = '42 (45)' AND "Chassis" = 'brabham bt20' | SELECT "Entrant" FROM "table_49673" WHERE "Chassis" = 'brabham bt20' AND "Points" = '42 (45)' | 0.09082 |
CREATE TABLE table_69893 ("Date" CLOB, "Bowl" CLOB, "Result" CLOB, "Points For" FLOAT, "Points Against" FLOAT)
| What was the final result when the Mountaineers scored less than 13 and their opponents scored 26? | SELECT "Result" FROM table_69893 WHERE "Points For" < '13' AND "Points Against" = '26' | SELECT "Result" FROM "table_69893" WHERE "Points Against" = '26' AND "Points For" < '13' | 0.085938 |
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
| For those records from the products and each product's manufacturer, draw a bar chart about the distribution of headquarter and the sum of code , and group by attribute headquarter, and display in asc by the Headquarter. | SELECT T2.Headquarter, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Headquarter ORDER BY T2.Headquarter | SELECT "T2"."Headquarter", "T1"."Code" FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T2"."Headquarter" ORDER BY "T2"."Headquarter" | 0.173828 |
CREATE TABLE order_items (order_id NUMBER, product_id NUMBER, order_quantity CLOB)
CREATE TABLE customer_addresses (customer_id NUMBER, address_id NUMBER, date_address_from TIME, address_type CLOB, date_address_to TIME)
CREATE TABLE customers (customer_id NUMBER, payment_method CLOB, customer_name CLOB, date_became_customer TIME, other_customer_details CLOB)
CREATE TABLE products (product_id NUMBER, product_details CLOB)
CREATE TABLE customer_orders (order_id NUMBER, customer_id NUMBER, order_status CLOB, order_date TIME, order_details CLOB)
CREATE TABLE customer_contact_channels (customer_id NUMBER, channel_code CLOB, active_from_date TIME, active_to_date TIME, contact_number CLOB)
CREATE TABLE addresses (address_id NUMBER, address_content CLOB, city CLOB, zip_postcode CLOB, state_province_county CLOB, country CLOB, other_address_details CLOB)
| Find the name of the customer who made the order of the largest amount of goods. | SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id = t2.customer_id JOIN order_items AS t3 ON t2.order_id = t3.order_id WHERE t3.order_quantity = (SELECT MAX(order_quantity) FROM order_items) | SELECT "t1"."customer_name" FROM "customers" "t1" JOIN "customer_orders" "t2" ON "t1"."customer_id" = "t2"."customer_id" JOIN "order_items" "t3" ON "t2"."order_id" = "t3"."order_id" AND "t3"."order_quantity" = (SELECT MAX("order_quantity") FROM "order_items") | 0.25293 |
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
| Total Upvote to Downvote Ratio. | SELECT SUM(U.UpVotes) AS "Total Up", SUM(U.DownVotes) AS "Total Down" FROM Users AS U LEFT JOIN Posts AS p ON U.Id = P.OwnerUserId | SELECT SUM("U"."UpVotes") AS "Total Up", SUM("U"."DownVotes") AS "Total Down" FROM "Users" "U" LEFT JOIN "Posts" "p" ON "P"."OwnerUserId" = "U"."Id" | 0.144531 |
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
| i would like the time your earliest flight from WASHINGTON to PHILADELPHIA | SELECT DISTINCT flight.departure_time 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 = 'WASHINGTON' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PHILADELPHIA' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND flight.departure_time = (SELECT MIN(FLIGHTalias1.departure_time) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, flight AS FLIGHTalias1 WHERE CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'WASHINGTON' AND CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'PHILADELPHIA' AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) | WITH "_u_0" AS (SELECT MIN("FLIGHTalias1"."departure_time") FROM "airport_service" "AIRPORT_SERVICEalias2" JOIN "city" "CITYalias2" ON "AIRPORT_SERVICEalias2"."city_code" = "CITYalias2"."city_code" AND "CITYalias2"."city_name" = 'WASHINGTON' JOIN "flight" "FLIGHTalias1" ON "AIRPORT_SERVICEalias2"."airport_code" = "FLIGHTalias1"."from_airport" JOIN "airport_service" "AIRPORT_SERVICEalias3" ON "AIRPORT_SERVICEalias3"."airport_code" = "FLIGHTalias1"."to_airport" JOIN "city" "CITYalias3" ON "AIRPORT_SERVICEalias3"."city_code" = "CITYalias3"."city_code" AND "CITYalias3"."city_name" = 'PHILADELPHIA') SELECT DISTINCT "flight"."departure_time" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'WASHINGTON' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "_u_0" "_u_0" ON "_u_0"."" = "flight"."departure_time" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'PHILADELPHIA' | 1.141602 |
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
| For those records from the products and each product's manufacturer, give me the comparison about the average of code over the founder , and group by attribute founder, and show from high to low by the total number please. | SELECT T2.Founder, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Founder ORDER BY T1.Code DESC | SELECT "T2"."Founder", "T1"."Code" FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T2"."Founder" ORDER BY "T1"."Code" DESC | 0.164063 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| what is the admission time and diagnosis for patient id 98220? | SELECT demographic.admittime, diagnoses.short_title FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.subject_id = "98220" | SELECT "demographic"."admittime", "diagnoses"."short_title" FROM "demographic" JOIN "diagnoses" ON "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "98220" = "demographic"."subject_id" | 0.18457 |
CREATE TABLE table_2092557_12 (wimbledon VARCHAR2, player VARCHAR2)
| What year did Martina Navratilova win Wimbledon? | SELECT wimbledon FROM table_2092557_12 WHERE player = "Martina Navratilova" | SELECT "wimbledon" FROM "table_2092557_12" WHERE "Martina Navratilova" = "player" | 0.079102 |
CREATE TABLE student (dept_code VARCHAR2)
CREATE TABLE department (dept_name VARCHAR2, dept_code VARCHAR2)
| What is the department name of the students with lowest gpa belongs to? | SELECT T2.dept_name FROM student AS T1 JOIN department AS T2 ON T1.dept_code = T2.dept_code ORDER BY stu_gpa LIMIT 1 | SELECT "T2"."dept_name" FROM "student" "T1" JOIN "department" "T2" ON "T1"."dept_code" = "T2"."dept_code" ORDER BY "stu_gpa" FETCH FIRST 1 ROWS ONLY | 0.144531 |
CREATE TABLE table_10707142_2 (race_name VARCHAR2, winning_team VARCHAR2, pole_position VARCHAR2)
| what is the name of the race where newman/haas racing is the winning team and rick mears is at the pole position? | SELECT race_name FROM table_10707142_2 WHERE winning_team = "Newman/Haas Racing" AND pole_position = "Rick Mears" | SELECT "race_name" FROM "table_10707142_2" WHERE "Newman/Haas Racing" = "winning_team" AND "Rick Mears" = "pole_position" | 0.118164 |
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
| For those employees who do not work in departments with managers that have ids between 100 and 200, a bar chart shows the distribution of hire_date and the average of manager_id bin hire_date by time, and rank from high to low by the total number. | SELECT HIRE_DATE, AVG(MANAGER_ID) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY AVG(MANAGER_ID) DESC | SELECT "HIRE_DATE", AVG("MANAGER_ID") FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY AVG("MANAGER_ID") DESC | 0.204102 |
CREATE TABLE table_64654 ("Rank" FLOAT, "Name" CLOB, "Status" CLOB, "City" CLOB, "Floors" FLOAT)
| What rank has a status of proposed, with 80 floors for Celestia Spaces 4? | SELECT AVG("Rank") FROM table_64654 WHERE "Status" = 'proposed' AND "Floors" = '80' AND "Name" = 'celestia spaces 4' | SELECT AVG("Rank") FROM "table_64654" WHERE "Floors" = '80' AND "Name" = 'celestia spaces 4' AND "Status" = 'proposed' | 0.115234 |
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
| i need a listing of flights from ST. PETERSBURG FLORIDA to TACOMA WASHINGTON leaving tomorrow and i would like to have a stopover in MILWAUKEE please | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, airport_service AS AIRPORT_SERVICE_2, city AS CITY_0, city AS CITY_1, city AS CITY_2, date_day, days, flight, flight_stop, state AS STATE_0, state AS STATE_1 WHERE ((CITY_2.city_code = AIRPORT_SERVICE_2.city_code AND CITY_2.city_name = 'MILWAUKEE' AND date_day.day_number = 20 AND date_day.month_number = 1 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight_stop.stop_airport = AIRPORT_SERVICE_2.airport_code AND flight.flight_days = days.days_code AND flight.flight_id = flight_stop.flight_id) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'TACOMA' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code AND STATE_1.state_code = CITY_1.state_code AND STATE_1.state_name = 'WASHINGTON') AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'ST. PETERSBURG' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND STATE_0.state_code = CITY_0.state_code AND STATE_0.state_name = 'FLORIDA' | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 20 AND "date_day"."month_number" = 1 AND "date_day"."year" = 1991 JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'ST. PETERSBURG' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "state" "STATE_0" ON "CITY_0"."state_code" = "STATE_0"."state_code" AND "STATE_0"."state_name" = 'FLORIDA' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_stop" ON "flight"."flight_id" = "flight_stop"."flight_id" JOIN "airport_service" "AIRPORT_SERVICE_2" ON "AIRPORT_SERVICE_2"."airport_code" = "flight_stop"."stop_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'TACOMA' JOIN "city" "CITY_2" ON "AIRPORT_SERVICE_2"."city_code" = "CITY_2"."city_code" AND "CITY_2"."city_name" = 'MILWAUKEE' JOIN "state" "STATE_1" ON "CITY_1"."state_code" = "STATE_1"."state_code" AND "STATE_1"."state_name" = 'WASHINGTON' | 1.214844 |
CREATE TABLE table_54109 ("Round" FLOAT, "Player" CLOB, "Nationality" CLOB, "NHL team" CLOB, "College/junior/club team ( league ) " CLOB)
| What is the nationality of the player who played for the Peterborough Petes (OHL)? | SELECT "Nationality" FROM table_54109 WHERE "College/junior/club team (league)" = 'peterborough petes (ohl)' | SELECT "Nationality" FROM "table_54109" WHERE "College/junior/club team (league)" = 'peterborough petes (ohl)' | 0.107422 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| among total number of patients on elective admission, calculate the average age of those who had government insurance. | SELECT AVG(demographic.age) FROM demographic WHERE demographic.admission_type = "ELECTIVE" AND demographic.insurance = "Government" | SELECT AVG("demographic"."age") FROM "demographic" WHERE "ELECTIVE" = "demographic"."admission_type" AND "Government" = "demographic"."insurance" | 0.141602 |
CREATE TABLE table_37316 ("Club" CLOB, "Played" CLOB, "Drawn" CLOB, "Lost" CLOB, "Points for" CLOB, "Points against" CLOB, "Tries for" CLOB, "Tries against" CLOB, "Try bonus" CLOB)
| What were the points for that had a game where there was 678 against? | SELECT "Points for" FROM table_37316 WHERE "Points against" = '678' | SELECT "Points for" FROM "table_37316" WHERE "Points against" = '678' | 0.067383 |
CREATE TABLE table_name_40 (rounds NUMBER, truck_s_ VARCHAR2, team VARCHAR2)
| What is the most number of rounds that the Team from RBR Enterprises and having a Chevrolet Silverado ran? | SELECT MAX(rounds) FROM table_name_40 WHERE truck_s_ = "chevrolet silverado" AND team = "rbr enterprises" | SELECT MAX("rounds") FROM "table_name_40" WHERE "chevrolet silverado" = "truck_s_" AND "rbr enterprises" = "team" | 0.110352 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| count the number of patients whose marital status is widowed and diagnoses long title is disorders of magnesium metabolism? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.marital_status = "WIDOWED" AND diagnoses.long_title = "Disorders of magnesium metabolism" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Disorders of magnesium metabolism" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "WIDOWED" = "demographic"."marital_status" | 0.246094 |
CREATE TABLE table_name_84 (horse_name VARCHAR2, jockey VARCHAR2, post_time_odds VARCHAR2)
| What horse does todd pletcher ride with odds of 14.20-1? | SELECT horse_name FROM table_name_84 WHERE jockey = "todd pletcher" AND post_time_odds = "14.20-1" | SELECT "horse_name" FROM "table_name_84" WHERE "14.20-1" = "post_time_odds" AND "jockey" = "todd pletcher" | 0.103516 |
CREATE TABLE table_name_2 (engine VARCHAR2, team VARCHAR2, year VARCHAR2, points VARCHAR2)
| What engine was used by Curb Motorsports after 1982 that had 11 points? | SELECT engine FROM table_name_2 WHERE year > 1982 AND points = 11 AND team = "curb motorsports" | SELECT "engine" FROM "table_name_2" WHERE "curb motorsports" = "team" AND "points" = 11 AND "year" > 1982 | 0.102539 |
CREATE TABLE table_name_28 (date VARCHAR2, week VARCHAR2)
| What is the date for week 15? | SELECT date FROM table_name_28 WHERE week = 15 | SELECT "date" FROM "table_name_28" WHERE "week" = 15 | 0.050781 |
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
| what are the three most common diagnoses for patients who received ins drug-elut coronry st previously in the same hospital encounter,? | SELECT d_icd_diagnoses.short_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.icd9_code IN (SELECT t3.icd9_code FROM (SELECT t2.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, procedures_icd.charttime, admissions.hadm_id FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'ins drug-elut coronry st')) AS t1 JOIN (SELECT admissions.subject_id, diagnoses_icd.icd9_code, diagnoses_icd.charttime, admissions.hadm_id FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND t1.hadm_id = t2.hadm_id GROUP BY t2.icd9_code) AS t3 WHERE t3.c1 <= 3) | WITH "t2" AS (SELECT "admissions"."subject_id", "diagnoses_icd"."icd9_code", "diagnoses_icd"."charttime", "admissions"."hadm_id" FROM "diagnoses_icd" JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id"), "t3" AS (SELECT "t2"."icd9_code", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'ins drug-elut coronry st' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" JOIN "t2" "t2" ON "admissions"."hadm_id" = "t2"."hadm_id" AND "admissions"."subject_id" = "t2"."subject_id" AND "procedures_icd"."charttime" < "t2"."charttime" GROUP BY "t2"."icd9_code"), "_u_1" AS (SELECT "t3"."icd9_code" FROM "t3" "t3" WHERE "t3"."c1" <= 3 GROUP BY "icd9_code") SELECT "d_icd_diagnoses"."short_title" FROM "d_icd_diagnoses" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "d_icd_diagnoses"."icd9_code" WHERE NOT "_u_1"."" IS NULL | 0.974609 |
CREATE TABLE student (ID VARCHAR2, name VARCHAR2, dept_name VARCHAR2, tot_cred NUMBER)
CREATE TABLE department (dept_name VARCHAR2, building VARCHAR2, budget NUMBER)
CREATE TABLE prereq (course_id VARCHAR2, prereq_id VARCHAR2)
CREATE TABLE section (course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER, building VARCHAR2, room_number VARCHAR2, time_slot_id VARCHAR2)
CREATE TABLE time_slot (time_slot_id VARCHAR2, day VARCHAR2, start_hr NUMBER, start_min NUMBER, end_hr NUMBER, end_min NUMBER)
CREATE TABLE advisor (s_ID VARCHAR2, i_ID VARCHAR2)
CREATE TABLE instructor (ID VARCHAR2, name VARCHAR2, dept_name VARCHAR2, salary NUMBER)
CREATE TABLE teaches (ID VARCHAR2, course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER)
CREATE TABLE classroom (building VARCHAR2, room_number VARCHAR2, capacity NUMBER)
CREATE TABLE takes (ID VARCHAR2, course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER, grade VARCHAR2)
CREATE TABLE course (course_id VARCHAR2, title VARCHAR2, dept_name VARCHAR2, credits NUMBER)
| Bar chart x axis building y axis maximal capacity, and order by the bars in asc. | SELECT building, MAX(capacity) FROM classroom GROUP BY building ORDER BY building | SELECT "building", MAX("capacity") FROM "classroom" GROUP BY "building" ORDER BY "building" | 0.088867 |
CREATE TABLE table_37711 ("Round" FLOAT, "Player" CLOB, "Position" CLOB, "Nationality" CLOB, "College/Junior/Club Team" CLOB)
| What is the lowest round that Adam Wiesel was picked? | SELECT MIN("Round") FROM table_37711 WHERE "Player" = 'adam wiesel' | SELECT MIN("Round") FROM "table_37711" WHERE "Player" = 'adam wiesel' | 0.067383 |
CREATE TABLE table_69984 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Record" CLOB)
| What was the score that made the record 47-49? | SELECT "Score" FROM table_69984 WHERE "Record" = '47-49' | SELECT "Score" FROM "table_69984" WHERE "Record" = '47-49' | 0.056641 |
CREATE TABLE table_53571 ("Player" CLOB, "Height" CLOB, "School" CLOB, "Hometown" CLOB, "College" CLOB)
| What's the hometown of the player with a college of lsu? | SELECT "Hometown" FROM table_53571 WHERE "College" = 'lsu' | SELECT "Hometown" FROM "table_53571" WHERE "College" = 'lsu' | 0.058594 |
CREATE TABLE table_49685 ("Rank" CLOB, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is Nation, when Bronze is 1, when Gold is greater than 0, and when Rank is 2? | SELECT "Nation" FROM table_49685 WHERE "Bronze" = '1' AND "Gold" > '0' AND "Rank" = '2' | SELECT "Nation" FROM "table_49685" WHERE "Bronze" = '1' AND "Gold" > '0' AND "Rank" = '2' | 0.086914 |
CREATE TABLE table_1727 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Production code" FLOAT)
| How many episodes did Julie Martin wrote for the show If every episode has its own production code? | SELECT COUNT("Production code") FROM table_1727 WHERE "Written by" = 'Julie Martin' | SELECT COUNT("Production code") FROM "table_1727" WHERE "Written by" = 'Julie Martin' | 0.083008 |
CREATE TABLE table_name_33 (place VARCHAR2, performance VARCHAR2)
| What place had 14:11.15 as the performance? | SELECT place FROM table_name_33 WHERE performance = "14:11.15" | SELECT "place" FROM "table_name_33" WHERE "14:11.15" = "performance" | 0.066406 |
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
| Most popular bad questions about Python with body _R-year by year. All non-CW questions with at least 1000 views ordered by votes ascending so that the least popular of the questions is on top | SELECT question.Id AS "post_link", question.Title, question.Score, question.Body, question.AnswerCount AS "Answer Count", question.ViewCount, t.TagName FROM Posts AS question JOIN PostTypes AS ty ON ty.Id = question.PostTypeId JOIN PostTags AS questiont ON question.Id = questiont.PostId JOIN Tags AS t ON t.Id = questiont.TagId WHERE question.CommunityOwnedDate IS NULL AND question.PostTypeId = 1 AND question.ViewCount > 1 AND t.TagName = 'python' AND ty.Name = 'Question' AND question.CreationDate < '2017-01-01' AND question.CreationDate > '2007-01-01' ORDER BY question.Score, question.ViewCount DESC LIMIT 500 | SELECT "question"."Id" AS "post_link", "question"."Title", "question"."Score", "question"."Body", "question"."AnswerCount" AS "Answer Count", "question"."ViewCount", "t"."TagName" FROM "Posts" "question" JOIN "PostTags" "questiont" ON "question"."Id" = "questiont"."PostId" JOIN "PostTypes" "ty" ON "question"."PostTypeId" = "ty"."Id" AND "ty"."Name" = 'Question' JOIN "Tags" "t" ON "questiont"."TagId" = "t"."Id" AND "t"."TagName" = 'python' WHERE "question"."CommunityOwnedDate" IS NULL AND "question"."CreationDate" < '2017-01-01' AND "question"."CreationDate" > '2007-01-01' AND "question"."PostTypeId" = 1 AND "question"."ViewCount" > 1 ORDER BY "question"."Score", "question"."ViewCount" DESC FETCH FIRST 500 ROWS ONLY | 0.707031 |
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
| Rep gained by asking a duplicate. http://meta.stackexchange.com/questions/237286/how-to-find-data-on-dupes-in-sp | SELECT * FROM Tags WHERE TagName LIKE 'reg%' | SELECT * FROM "Tags" WHERE "TagName" LIKE 'reg%' | 0.046875 |
CREATE TABLE table_name_6 (margin_of_victory VARCHAR2, tournament VARCHAR2)
| What was Olazabal's margin of victory int he Ebel European Masters Swiss Open? | SELECT margin_of_victory FROM table_name_6 WHERE tournament = "ebel european masters swiss open" | SELECT "margin_of_victory" FROM "table_name_6" WHERE "ebel european masters swiss open" = "tournament" | 0.099609 |
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
| For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, visualize a bar chart about the distribution of hire_date and the average of employee_id bin hire_date by weekday. | SELECT HIRE_DATE, AVG(EMPLOYEE_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 | SELECT "HIRE_DATE", AVG("EMPLOYEE_ID") FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) | 0.207031 |
CREATE TABLE table_76608 ("Round" FLOAT, "Pick" FLOAT, "Overall" FLOAT, "Name" CLOB, "Position" CLOB, "College" CLOB)
| Which pick has a Round smaller than 8, and an Overall smaller than 16, and a Name of harry gilmer? | SELECT "Pick" FROM table_76608 WHERE "Round" < '8' AND "Overall" < '16' AND "Name" = 'harry gilmer' | SELECT "Pick" FROM "table_76608" WHERE "Name" = 'harry gilmer' AND "Overall" < '16' AND "Round" < '8' | 0.098633 |
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
| how many times did patient 017-16041 produced a stool output on the current intensive care unit visit? | SELECT COUNT(*) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '017-16041') AND patient.unitdischargetime IS NULL) AND intakeoutput.cellpath LIKE '%output%' AND intakeoutput.celllabel = 'stool' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '017-16041' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE "patient"."unitdischargetime" IS NULL AND NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'stool' AND "intakeoutput"."cellpath" LIKE '%output%' AND NOT "_u_1"."" IS NULL | 0.606445 |
CREATE TABLE table_10207 ("Name" CLOB, "Years" CLOB, "Gender" CLOB, "Area" CLOB, "Authority" CLOB, "Decile" FLOAT, "Roll" FLOAT)
| Tell me the name for kelston with roll less than 322 | SELECT "Name" FROM table_10207 WHERE "Area" = 'kelston' AND "Roll" < '322' | SELECT "Name" FROM "table_10207" WHERE "Area" = 'kelston' AND "Roll" < '322' | 0.074219 |
CREATE TABLE genre (g_name CLOB, rating CLOB, most_popular_in CLOB)
CREATE TABLE song (song_name CLOB, artist_name CLOB, country CLOB, f_id NUMBER, genre_is CLOB, rating NUMBER, languages CLOB, releasedate TIME, resolution NUMBER)
CREATE TABLE artist (artist_name CLOB, country CLOB, gender CLOB, preferred_genre CLOB)
CREATE TABLE files (f_id NUMBER, artist_name CLOB, file_size CLOB, duration CLOB, formats CLOB)
| Find the id of songs that are available in mp4 format and have resolution lower than 1000. | SELECT f_id FROM files WHERE formats = "mp4" INTERSECT SELECT f_id FROM song WHERE resolution < 1000 | SELECT "f_id" FROM "files" WHERE "formats" = "mp4" INTERSECT SELECT "f_id" FROM "song" WHERE "resolution" < 1000 | 0.109375 |
CREATE TABLE table_21846 ("Club" CLOB, "Played" CLOB, "Won" CLOB, "Drawn" CLOB, "Lost" CLOB, "Points for" CLOB, "Points against" CLOB, "Tries for" CLOB, "Tries against" CLOB, "Try bonus" CLOB, "Losing bonus" CLOB, "Points" CLOB)
| How many were drawn when 13 were lost? | SELECT "Drawn" FROM table_21846 WHERE "Lost" = '13' | SELECT "Drawn" FROM "table_21846" WHERE "Lost" = '13' | 0.051758 |
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
| For those employees who did not have any job in the past, show me the trend about commission_pct over hire_date with a line chart, I want to rank HIRE_DATE in descending order. | SELECT HIRE_DATE, COMMISSION_PCT FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY HIRE_DATE DESC | SELECT "HIRE_DATE", "COMMISSION_PCT" FROM "employees" WHERE NOT "EMPLOYEE_ID" IN (SELECT "EMPLOYEE_ID" FROM "job_history") ORDER BY "HIRE_DATE" DESC | 0.144531 |
CREATE TABLE table_1785117_1 (broadcast_date VARCHAR2, viewers__in_millions_ VARCHAR2)
| What is the broadcast date when 8.3 million viewers watched? | SELECT broadcast_date FROM table_1785117_1 WHERE viewers__in_millions_ = "8.3" | SELECT "broadcast_date" FROM "table_1785117_1" WHERE "8.3" = "viewers__in_millions_" | 0.082031 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| give me the number of patients whose discharge location is left against medical advi and year of birth is less than 2041? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.discharge_location = "LEFT AGAINST MEDICAL ADVI" AND demographic.dob_year < "2041" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2041" > "demographic"."dob_year" AND "LEFT AGAINST MEDICAL ADVI" = "demographic"."discharge_location" | 0.172852 |
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
| Relevant Python and Java posts in 2020 with information about author. | SELECT p.Title, p.Body, p.CreationDate, p.Id AS "post_link", p.Tags, p.Score, u.AboutMe FROM Posts AS p LEFT JOIN Users AS u ON p.OwnerUserId = u.Id WHERE p.PostTypeId IN (1) AND p.CreationDate > '2020-01-01' AND p.CreationDate < '2020-12-31' AND p.Tags LIKE ('%python%') AND p.Score >= 15 AND u.AboutMe != '' ORDER BY p.CreationDate DESC | SELECT "p"."Title", "p"."Body", "p"."CreationDate", "p"."Id" AS "post_link", "p"."Tags", "p"."Score", "u"."AboutMe" FROM "Posts" "p" LEFT JOIN "Users" "u" ON "p"."OwnerUserId" = "u"."Id" WHERE "p"."CreationDate" < '2020-12-31' AND "p"."CreationDate" > '2020-01-01' AND "p"."PostTypeId" IN (1) AND "p"."Score" >= 15 AND "p"."Tags" LIKE '%python%' AND "u"."AboutMe" <> '' ORDER BY "p"."CreationDate" DESC | 0.392578 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many of the patients with hypoxia were aged below 51? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "HYPOXIA" AND demographic.age < "51" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "51" > "demographic"."age" AND "HYPOXIA" = "demographic"."diagnosis" | 0.139648 |
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
| For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, return a line chart about the change of commission_pct over hire_date , show in asc by the X-axis. | SELECT HIRE_DATE, COMMISSION_PCT FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 ORDER BY HIRE_DATE | SELECT "HIRE_DATE", "COMMISSION_PCT" FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) ORDER BY "HIRE_DATE" | 0.225586 |
CREATE TABLE table_22339 ("City of license /Market" CLOB, "Station" CLOB, "Channel ( TV / RF ) " CLOB, "Owned Since" FLOAT, "Affiliation" CLOB)
| How many stations have been owned since wfts-tv? | SELECT "Owned Since" FROM table_22339 WHERE "Station" = 'WFTS-TV' | SELECT "Owned Since" FROM "table_22339" WHERE "Station" = 'WFTS-TV' | 0.06543 |
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