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CREATE TABLE table_18540 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" FLOAT, "Result" CLOB, "Candidates" CLOB)
| What is the number of candidates for pennsylvania 3 | SELECT COUNT("Candidates") FROM table_18540 WHERE "District" = 'Pennsylvania 3' | SELECT COUNT("Candidates") FROM "table_18540" WHERE "District" = 'Pennsylvania 3' | 0.079102 |
CREATE TABLE table_10954 ("Year" FLOAT, "Tournament" CLOB, "Venue" CLOB, "Result" CLOB, "Notes" CLOB)
| What venue is used before 2012 with a result of 12th? | SELECT "Venue" FROM table_10954 WHERE "Result" = '12th' AND "Year" < '2012' | SELECT "Venue" FROM "table_10954" WHERE "Result" = '12th' AND "Year" < '2012' | 0.075195 |
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 state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
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 month (month_number NUMBER, month_name CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
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 dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
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 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 food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note 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 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 time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
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)
| show me FIRST class flights from NEW YORK to MIAMI round trip | 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, fare, fare_basis, flight, flight_fare WHERE ((fare_basis.class_type = 'FIRST' AND fare.fare_basis_code = fare_basis.fare_basis_code) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'MIAMI' AND NOT fare.round_trip_cost IS NULL AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'NEW YORK' AND flight.from_airport = AIRPORT_SERVICE_0.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" = 'NEW YORK' 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 "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'MIAMI' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" AND NOT "fare"."round_trip_cost" IS NULL JOIN "fare_basis" ON "fare"."fare_basis_code" = "fare_basis"."fare_basis_code" AND "fare_basis"."class_type" = 'FIRST' | 0.763672 |
CREATE TABLE table_49742 ("Game" FLOAT, "January" FLOAT, "Opponent" CLOB, "Score" CLOB, "Record" CLOB)
| What is the score of the game before January 22 with a 30-7-7 record? | SELECT "Score" FROM table_49742 WHERE "January" < '22' AND "Record" = '30-7-7' | SELECT "Score" FROM "table_49742" WHERE "January" < '22' AND "Record" = '30-7-7' | 0.078125 |
CREATE TABLE table_222448_1 (long_term_c_pk VARCHAR2, short_term_c_pk VARCHAR2)
| What is long-term C PK when the short-term C PK is 2.00? | SELECT long_term_c_pk FROM table_222448_1 WHERE short_term_c_pk = "2.00" | SELECT "long_term_c_pk" FROM "table_222448_1" WHERE "2.00" = "short_term_c_pk" | 0.076172 |
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
| Name the advisory prerequisites for Byzantine History . | SELECT DISTINCT advisory_requirement FROM course WHERE name LIKE '%Byzantine History%' | SELECT DISTINCT "advisory_requirement" FROM "course" WHERE "name" LIKE '%Byzantine History%' | 0.089844 |
CREATE TABLE restaurant_type (restypeid NUMBER, restypename CLOB, restypedescription CLOB)
CREATE TABLE visits_restaurant (stuid NUMBER, resid NUMBER, time TIME, spent NUMBER)
CREATE TABLE restaurant (resid NUMBER, resname CLOB, address CLOB, rating NUMBER)
CREATE TABLE student (stuid NUMBER, lname CLOB, fname CLOB, age NUMBER, sex CLOB, major NUMBER, advisor NUMBER, city_code CLOB)
CREATE TABLE type_of_restaurant (resid NUMBER, restypeid NUMBER)
| What is the description of the restaurant type Sandwich? | SELECT restypedescription FROM restaurant_type WHERE restypename = "Sandwich" | SELECT "restypedescription" FROM "restaurant_type" WHERE "Sandwich" = "restypename" | 0.081055 |
CREATE TABLE table_203_374 (id NUMBER, "rank" NUMBER, "nation" CLOB, "gold" NUMBER, "silver" NUMBER, "bronze" NUMBER, "total" NUMBER)
| if a man 's nationality was from belgium , how many medals total has his country won ? | SELECT "total" FROM table_203_374 WHERE "nation" = 'belgium' | SELECT "total" FROM "table_203_374" WHERE "nation" = 'belgium' | 0.060547 |
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
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 lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime 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)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
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 cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
| how many of the current patients are 60 or above? | SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE patient.hospitaldischargetime IS NULL AND patient.age >= 60 | SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "patient" WHERE "patient"."age" >= 60 AND "patient"."hospitaldischargetime" IS NULL | 0.129883 |
CREATE TABLE table_37643 ("Location ( State , City ) " CLOB, "USN 2013" FLOAT, "BW 2013" FLOAT, "Forbes 2011" FLOAT, "Ec 2013" FLOAT, "FT 2011" FLOAT, "AE 2011" FLOAT, "CNN 2011" FLOAT, "BI 2013" FLOAT, "ARWU 2012" FLOAT)
| What is the USN 2013 ranking with a BW 2013 ranking less than 1000, a Forbes 2011 ranking larger than 17, and a CNN 2011 ranking less than 13? | SELECT SUM("USN 2013") FROM table_37643 WHERE "BW 2013" < '1000' AND "Forbes 2011" > '17' AND "CNN 2011" < '13' | SELECT SUM("USN 2013") FROM "table_37643" WHERE "BW 2013" < '1000' AND "CNN 2011" < '13' AND "Forbes 2011" > '17' | 0.110352 |
CREATE TABLE products (product_id NUMBER, parent_product_id NUMBER, production_type_code CLOB, unit_price NUMBER, product_name CLOB, product_color CLOB, product_size CLOB)
CREATE TABLE product_categories (production_type_code CLOB, product_type_description CLOB, vat_rating NUMBER)
CREATE TABLE orders (order_id NUMBER, customer_id NUMBER, date_order_placed TIME, order_details CLOB)
CREATE TABLE accounts (account_id NUMBER, customer_id NUMBER, date_account_opened TIME, account_name CLOB, other_account_details CLOB)
CREATE TABLE invoice_line_items (order_item_id NUMBER, invoice_number NUMBER, product_id NUMBER, product_title CLOB, product_quantity CLOB, product_price NUMBER, derived_product_cost NUMBER, derived_vat_payable NUMBER, derived_total_cost NUMBER)
CREATE TABLE customers (customer_id NUMBER, customer_first_name CLOB, customer_middle_initial CLOB, customer_last_name CLOB, gender CLOB, email_address CLOB, login_name CLOB, login_password CLOB, phone_number CLOB, town_city CLOB, state_county_province CLOB, country CLOB)
CREATE TABLE financial_transactions (transaction_id NUMBER, account_id NUMBER, invoice_number NUMBER, transaction_type CLOB, transaction_date TIME, transaction_amount NUMBER, transaction_comment CLOB, other_transaction_details CLOB)
CREATE TABLE invoices (invoice_number NUMBER, order_id NUMBER, invoice_date TIME)
CREATE TABLE order_items (order_item_id NUMBER, order_id NUMBER, product_id NUMBER, product_quantity CLOB, other_order_item_details CLOB)
| What are teh names of the different products, as well as the number of customers who have ordered each product. | SELECT T2.product_name, COUNT(*) FROM order_items AS T1 JOIN products AS T2 ON T1.product_id = T2.product_id JOIN orders AS T3 ON T3.order_id = T1.order_id GROUP BY T2.product_name | SELECT "T2"."product_name", COUNT(*) FROM "order_items" "T1" JOIN "products" "T2" ON "T1"."product_id" = "T2"."product_id" JOIN "orders" "T3" ON "T1"."order_id" = "T3"."order_id" GROUP BY "T2"."product_name" | 0.202148 |
CREATE TABLE table_20032301_3 (undecided VARCHAR2, sampling_error VARCHAR2)
| What's the percentage of undecided according to the poll source with sampling error of 2.7%? | SELECT undecided FROM table_20032301_3 WHERE sampling_error = "2.7%" | SELECT "undecided" FROM "table_20032301_3" WHERE "2.7%" = "sampling_error" | 0.072266 |
CREATE TABLE table_2054561_2 (first_place VARCHAR2, no_of_weeks VARCHAR2)
| Who took first place in week 6? | SELECT COUNT(first_place) FROM table_2054561_2 WHERE no_of_weeks = 6 | SELECT COUNT("first_place") FROM "table_2054561_2" WHERE "no_of_weeks" = 6 | 0.072266 |
CREATE TABLE table_49000 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Series" CLOB)
| What is Team, when High Points is 'Rashard Lewis (18)'? | SELECT "Team" FROM table_49000 WHERE "High points" = 'rashard lewis (18)' | SELECT "Team" FROM "table_49000" WHERE "High points" = 'rashard lewis (18)' | 0.073242 |
CREATE TABLE people (People_ID NUMBER, Name CLOB, Height FLOAT, Weight FLOAT, Birth_Date CLOB, Birth_Place CLOB)
CREATE TABLE body_builder (Body_Builder_ID NUMBER, People_ID NUMBER, Snatch FLOAT, Clean_Jerk FLOAT, Total FLOAT)
| Scatter plot to show body builder id on x axis and snatch on y axis. | SELECT Body_Builder_ID, Snatch FROM body_builder | SELECT "Body_Builder_ID", "Snatch" FROM "body_builder" | 0.052734 |
CREATE TABLE table_name_6 (attendance VARCHAR2, date VARCHAR2)
| What is the Attendance of New Zealand Scores in bold? | SELECT attendance FROM table_name_6 WHERE date = "new zealand scores in bold" | SELECT "attendance" FROM "table_name_6" WHERE "date" = "new zealand scores in bold" | 0.081055 |
CREATE TABLE table_59588 ("Name" CLOB, "E-mail server" CLOB, "Faxing" CLOB, "Instant messaging" CLOB, "Telephony" CLOB, "Videoconferencing" CLOB, "Web conferencing" CLOB, "Data conferencing" CLOB, "Application sharing" CLOB, "Electronic meeting system" CLOB, "Synchronous conferencing" CLOB)
| What is Videoconferencing, when Synchronous Conferencing is 'No', when Web Conferencing is 'No', and when Faxing is 'Yes'? | SELECT "Videoconferencing" FROM table_59588 WHERE "Synchronous conferencing" = 'no' AND "Web conferencing" = 'no' AND "Faxing" = 'yes' | SELECT "Videoconferencing" FROM "table_59588" WHERE "Faxing" = 'yes' AND "Synchronous conferencing" = 'no' AND "Web conferencing" = 'no' | 0.132813 |
CREATE TABLE table_204_192 (id NUMBER, "year" NUMBER, "team" CLOB, "co-drivers" CLOB, "car" CLOB, "class" CLOB, "laps" NUMBER, "pos." CLOB, "class\ pos." CLOB)
| previous to being on the bmw motorsport team , which team was he on ? | SELECT "team" FROM table_204_192 WHERE "year" < (SELECT "year" FROM table_204_192 WHERE "team" = 'bmw motorsport') | SELECT "team" FROM "table_204_192" WHERE "year" < (SELECT "year" FROM "table_204_192" WHERE "team" = 'bmw motorsport') | 0.115234 |
CREATE TABLE table_name_65 (team VARCHAR2, home_city VARCHAR2)
| What team that has a Home city of Zadar? | SELECT team FROM table_name_65 WHERE home_city = "zadar" | SELECT "team" FROM "table_name_65" WHERE "home_city" = "zadar" | 0.060547 |
CREATE TABLE table_5045 ("Year" CLOB, "Title" CLOB, "Role" CLOB, "Producer" CLOB, "Director" CLOB)
| What is Director Erik Matti's Producer? | SELECT "Producer" FROM table_5045 WHERE "Director" = 'erik matti' | SELECT "Producer" FROM "table_5045" WHERE "Director" = 'erik matti' | 0.06543 |
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
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 Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskResultTypes (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 PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
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 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 VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskStates (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 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)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount 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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskTypes (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 PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE CloseReasonTypes (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)
| Top User Of a Peticular Tag In Iran. | WITH USER_BY_TAG AS (SELECT ROW_NUMBER() OVER (ORDER BY COUNT(*) DESC) AS Rank, u.Id AS "user_link", TagName, COUNT(*) AS UpVotes FROM Tags AS t INNER JOIN PostTags AS pt ON pt.TagId = t.Id INNER JOIN Posts AS p ON p.ParentId = pt.PostId INNER JOIN Votes AS v ON v.PostId = p.Id AND VoteTypeId = 2 INNER JOIN Users AS u ON u.Id = p.OwnerUserId WHERE LOWER(Location) LIKE '%iran%' AND TagName = '##tagName:string##' GROUP BY u.Id, TagName) SELECT * FROM USER_BY_TAG WHERE rank <= 1000 ORDER BY UpVotes DESC | WITH "USER_BY_TAG" AS (SELECT ROW_NUMBER() OVER (ORDER BY COUNT(*) DESC) AS "Rank", "u"."Id" AS "user_link", "TagName", COUNT(*) AS "UpVotes" FROM "Tags" "t" JOIN "PostTags" "pt" ON "pt"."TagId" = "t"."Id" JOIN "Posts" "p" ON "p"."ParentId" = "pt"."PostId" JOIN "Users" "u" ON "p"."OwnerUserId" = "u"."Id" JOIN "Votes" "v" ON "VoteTypeId" = 2 AND "p"."Id" = "v"."PostId" WHERE "TagName" = '##tagName:string##' AND LOWER("Location") LIKE '%iran%' GROUP BY "u"."Id", "TagName") SELECT * FROM "USER_BY_TAG" WHERE "rank" <= 1000 ORDER BY "UpVotes" DESC | 0.535156 |
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)
CREATE TABLE procedures (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 prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| how many patients whose age is less than 24 and drug route is id? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "24" AND prescriptions.route = "ID" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "ID" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "24" > "demographic"."age" | 0.207031 |
CREATE TABLE table_name_77 (batting_style VARCHAR2, date_of_birth VARCHAR2)
| What is the batting style of the player born on 14 November 1971? | SELECT batting_style FROM table_name_77 WHERE date_of_birth = "14 november 1971" | SELECT "batting_style" FROM "table_name_77" WHERE "14 november 1971" = "date_of_birth" | 0.083984 |
CREATE TABLE table_name_43 (score VARCHAR2, venue VARCHAR2)
| Tell me the score for Venue of tanteen recreation ground, st. george's | SELECT score FROM table_name_43 WHERE venue = "tanteen recreation ground, st. george's" | SELECT "score" FROM "table_name_43" WHERE "tanteen recreation ground, st. george's" = "venue" | 0.09082 |
CREATE TABLE table_79604 ("Tie no" CLOB, "Home team" CLOB, "Score" CLOB, "Away team" CLOB, "Attendance" CLOB)
| Which home team had the away team Southport? | SELECT "Home team" FROM table_79604 WHERE "Away team" = 'southport' | SELECT "Home team" FROM "table_79604" WHERE "Away team" = 'southport' | 0.067383 |
CREATE TABLE department (department_id NUMBER, name CLOB, creation CLOB, ranking NUMBER, budget_in_billions NUMBER, num_employees NUMBER)
CREATE TABLE head (head_id NUMBER, name CLOB, born_state CLOB, age NUMBER)
CREATE TABLE management (department_id NUMBER, head_id NUMBER, temporary_acting CLOB)
| What are the maximum and minimum budget of the departments? | SELECT MAX(budget_in_billions), MIN(budget_in_billions) FROM department | SELECT MAX("budget_in_billions"), MIN("budget_in_billions") FROM "department" | 0.075195 |
CREATE TABLE table_53830 ("Tournament" CLOB, "Winner" CLOB, "Runner-up" CLOB, "Score" CLOB, "Third Place" CLOB)
| Who was the winner when the third place was fernando meligeni? | SELECT "Winner" FROM table_53830 WHERE "Third Place" = 'fernando meligeni' | SELECT "Winner" FROM "table_53830" WHERE "Third Place" = 'fernando meligeni' | 0.074219 |
CREATE TABLE table_name_58 (capacity NUMBER, team VARCHAR2)
| What is the sum of Capacity, when Team is 'Denizlispor'? | SELECT SUM(capacity) FROM table_name_58 WHERE team = "denizlispor" | SELECT SUM("capacity") FROM "table_name_58" WHERE "denizlispor" = "team" | 0.070313 |
CREATE TABLE table_11808 ("Res." CLOB, "Record" CLOB, "Opponent" CLOB, "Method" CLOB, "Round" CLOB, "Time" CLOB, "Location" CLOB)
| What was the method used when the opponent was Tyson Griffin? | SELECT "Method" FROM table_11808 WHERE "Opponent" = 'tyson griffin' | SELECT "Method" FROM "table_11808" WHERE "Opponent" = 'tyson griffin' | 0.067383 |
CREATE TABLE table_78503 ("Driver" CLOB, "Constructor" CLOB, "Laps" FLOAT, "Time/Retired" CLOB, "Grid" FLOAT)
| When laps are less than 80 and Bruce mclaren is the driver, what is the grid? | SELECT "Grid" FROM table_78503 WHERE "Laps" < '80' AND "Driver" = 'bruce mclaren' | SELECT "Grid" FROM "table_78503" WHERE "Driver" = 'bruce mclaren' AND "Laps" < '80' | 0.081055 |
CREATE TABLE table_46282 ("Rank" FLOAT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the total medals for nation with more than 0 silvers and more than 0 golds? | SELECT AVG("Total") FROM table_46282 WHERE "Silver" > '0' AND "Gold" > '0' | SELECT AVG("Total") FROM "table_46282" WHERE "Gold" > '0' AND "Silver" > '0' | 0.074219 |
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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
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_labitems (row_id NUMBER, itemid NUMBER, label 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 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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name 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)
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 procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is the difference between the total amount of input of patient and the output of patient 27703 on last month/08? | SELECT (SELECT SUM(inputevents_cv.amount) FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 27703)) AND DATETIME(inputevents_cv.charttime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND STRFTIME('%d', inputevents_cv.charttime) = '08') - (SELECT SUM(outputevents.value) FROM outputevents WHERE outputevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 27703)) AND DATETIME(outputevents.charttime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND STRFTIME('%d', outputevents.charttime) = '08') | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 27703 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_4" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_3" ON "_u_3"."" = "icustays"."hadm_id" WHERE NOT "_u_3"."" IS NULL GROUP BY "icustay_id") SELECT (SELECT SUM("inputevents_cv"."amount") FROM "inputevents_cv" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "inputevents_cv"."icustay_id" WHERE DATETIME("inputevents_cv"."charttime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND NOT "_u_1"."" IS NULL AND STRFTIME('%d', "inputevents_cv"."charttime") = '08') - (SELECT SUM("outputevents"."value") FROM "outputevents" LEFT JOIN "_u_4" "_u_4" ON "_u_4"."" = "outputevents"."icustay_id" WHERE DATETIME("outputevents"."charttime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND NOT "_u_4"."" IS NULL AND STRFTIME('%d', "outputevents"."charttime") = '08') | 1.100586 |
CREATE TABLE table_name_2 (termination VARCHAR2, earpads VARCHAR2, us_msrp VARCHAR2)
| What was the termination type for the headphones with comfort pads and selling for $150? | SELECT termination FROM table_name_2 WHERE earpads = "comfort pads" AND us_msrp = "$150" | SELECT "termination" FROM "table_name_2" WHERE "$150" = "us_msrp" AND "comfort pads" = "earpads" | 0.09375 |
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 lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
| what was the total amount of the input patient 015-57922 had received until 1290 days ago? | SELECT SUM(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '015-57922')) AND intakeoutput.cellpath LIKE '%intake%' AND DATETIME(intakeoutput.intakeoutputtime) <= DATETIME(CURRENT_TIME(), '-1290 day') | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '015-57922' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT SUM("intakeoutput"."cellvaluenumeric") FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."cellpath" LIKE '%intake%' AND DATETIME("intakeoutput"."intakeoutputtime") <= DATETIME(CURRENT_TIME(), '-1290 day') AND NOT "_u_1"."" IS NULL | 0.641602 |
CREATE TABLE table_name_93 (week VARCHAR2, attendance VARCHAR2)
| Which week had an attendance of 51,265? | SELECT week FROM table_name_93 WHERE attendance = "51,265" | SELECT "week" FROM "table_name_93" WHERE "51,265" = "attendance" | 0.0625 |
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 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 lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| how many american indian/alaska natives had diagnosis icd9 code 2920? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.ethnicity = "AMERICAN INDIAN/ALASKA NATIVE" AND diagnoses.icd9_code = "2920" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "2920" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "AMERICAN INDIAN/ALASKA NATIVE" = "demographic"."ethnicity" | 0.233398 |
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
| Can you suggest some web technology courses that are easier than AEROSP 550 ? | SELECT DISTINCT course.department, course.name, course.number, program_course.workload FROM course INNER JOIN area ON course.course_id = area.course_id INNER JOIN program_course ON program_course.course_id = course.course_id WHERE area.area LIKE '%web technology%' AND program_course.workload < (SELECT MIN(PROGRAM_COURSEalias1.workload) FROM course AS COURSEalias1 INNER JOIN program_course AS PROGRAM_COURSEalias1 ON PROGRAM_COURSEalias1.course_id = COURSEalias1.course_id WHERE COURSEalias1.department = 'AEROSP' AND COURSEalias1.number = 550) ORDER BY program_course.workload | WITH "_u_0" AS (SELECT MIN("PROGRAM_COURSEalias1"."workload") FROM "course" "COURSEalias1" JOIN "program_course" "PROGRAM_COURSEalias1" ON "COURSEalias1"."course_id" = "PROGRAM_COURSEalias1"."course_id" WHERE "COURSEalias1"."department" = 'AEROSP' AND "COURSEalias1"."number" = 550) SELECT DISTINCT "course"."department", "course"."name", "course"."number", "program_course"."workload" FROM "course" JOIN "area" ON "area"."area" LIKE '%web technology%' AND "area"."course_id" = "course"."course_id" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" JOIN "_u_0" "_u_0" ON "_u_0"."" > "program_course"."workload" ORDER BY "program_course"."workload" | 0.658203 |
CREATE TABLE Ref_Service_Types (Service_Type_Description VARCHAR2, Service_Type_Code VARCHAR2)
CREATE TABLE Services (Service_Type_Code VARCHAR2, Product_Name VARCHAR2)
| What is the description of the service type which offers both the photo product and the film product? | SELECT T1.Service_Type_Description FROM Ref_Service_Types AS T1 JOIN Services AS T2 ON T1.Service_Type_Code = T2.Service_Type_Code WHERE T2.Product_Name = 'photo' INTERSECT SELECT T1.Service_Type_Description FROM Ref_Service_Types AS T1 JOIN Services AS T2 ON T1.Service_Type_Code = T2.Service_Type_Code WHERE T2.Product_Name = 'film' | SELECT "T1"."Service_Type_Description" FROM "Ref_Service_Types" "T1" JOIN "Services" "T2" ON "T1"."Service_Type_Code" = "T2"."Service_Type_Code" AND "T2"."Product_Name" = 'photo' INTERSECT SELECT "T1"."Service_Type_Description" FROM "Ref_Service_Types" "T1" JOIN "Services" "T2" ON "T1"."Service_Type_Code" = "T2"."Service_Type_Code" AND "T2"."Product_Name" = 'film' | 0.357422 |
CREATE TABLE table_25248 ("Year" CLOB, "Date" CLOB, "Driver" CLOB, "Team" CLOB, "Manufacturer" CLOB, "Laps" FLOAT, "Miles ( km ) " CLOB, "Race Time" CLOB, "Average Speed ( mph ) " CLOB, "Report" CLOB)
| What is the date for the race that had the time of 2:43:19? | SELECT "Date" FROM table_25248 WHERE "Race Time" = '2:43:19' | SELECT "Date" FROM "table_25248" WHERE "Race Time" = '2:43:19' | 0.060547 |
CREATE TABLE table_50984 ("Poll Year" CLOB, "Winner" CLOB, "Second" CLOB, "Third" CLOB, "Fourth" CLOB, "Fifth" CLOB, "Sixth" CLOB, "Seventh" CLOB, "Eighth" CLOB, "Ninth" CLOB, "Tenth" CLOB)
| WHAT IS THE WINNER WITH A FIFTH OF JOSS STONE? | SELECT "Winner" FROM table_50984 WHERE "Fifth" = 'joss stone' | SELECT "Winner" FROM "table_50984" WHERE "Fifth" = 'joss stone' | 0.061523 |
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
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 regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_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)
| For those employees who do not work in departments with managers that have ids between 100 and 200, find last_name and department_id , and visualize them by a bar chart, and I want to list in descending by the X please. | SELECT LAST_NAME, DEPARTMENT_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY LAST_NAME DESC | SELECT "LAST_NAME", "DEPARTMENT_ID" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "LAST_NAME" DESC | 0.196289 |
CREATE TABLE club (clubid NUMBER, clubname CLOB, clubdesc CLOB, clublocation CLOB)
CREATE TABLE student (stuid NUMBER, lname CLOB, fname CLOB, age NUMBER, sex CLOB, major NUMBER, advisor NUMBER, city_code CLOB)
CREATE TABLE member_of_club (stuid NUMBER, clubid NUMBER, position CLOB)
| How many members of 'Bootup Baltimore' are older than 18? | SELECT COUNT(*) FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t1.clubname = "Bootup Baltimore" AND t3.age > 18 | SELECT COUNT(*) FROM "club" "t1" JOIN "member_of_club" "t2" ON "t1"."clubid" = "t2"."clubid" JOIN "student" "t3" ON "t2"."stuid" = "t3"."stuid" AND "t3"."age" > 18 WHERE "Bootup Baltimore" = "t1"."clubname" | 0.201172 |
CREATE TABLE table_11470 ("Game" FLOAT, "Date" CLOB, "Score" CLOB, "Location" CLOB, "Time" CLOB, "Attendance" FLOAT)
| What time was game 7? | SELECT "Time" FROM table_11470 WHERE "Game" = '7' | SELECT "Time" FROM "table_11470" WHERE "Game" = '7' | 0.049805 |
CREATE TABLE mountain (mountain_id NUMBER, name CLOB, height NUMBER, prominence NUMBER, range CLOB, country CLOB)
CREATE TABLE climber (climber_id NUMBER, name CLOB, country CLOB, time CLOB, points NUMBER, mountain_id NUMBER)
| Show the names of climbers and the heights of mountains they climb. | SELECT T1.name, T2.height FROM climber AS T1 JOIN mountain AS T2 ON T1.mountain_id = T2.mountain_id | SELECT "T1"."name", "T2"."height" FROM "climber" "T1" JOIN "mountain" "T2" ON "T1"."mountain_id" = "T2"."mountain_id" | 0.114258 |
CREATE TABLE table_name_66 (attendance VARCHAR2, week VARCHAR2)
| For week 15, what was the total number of attendance recorded? | SELECT COUNT(attendance) FROM table_name_66 WHERE week = 15 | SELECT COUNT("attendance") FROM "table_name_66" WHERE "week" = 15 | 0.063477 |
CREATE TABLE table_4527 ("Name" CLOB, "Pole Position" CLOB, "Fastest Lap" CLOB, "Winning driver" CLOB, "Winning team" CLOB, "Report" CLOB)
| Which team had the fastest lap of 1:13.516? | SELECT "Winning team" FROM table_4527 WHERE "Fastest Lap" = '1:13.516' | SELECT "Winning team" FROM "table_4527" WHERE "Fastest Lap" = '1:13.516' | 0.070313 |
CREATE TABLE table_name_78 (qual VARCHAR2, rank VARCHAR2)
| Name the qual for rank of 9 | SELECT qual FROM table_name_78 WHERE rank = "9" | SELECT "qual" FROM "table_name_78" WHERE "9" = "rank" | 0.051758 |
CREATE TABLE table_47421 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB, "Money ( $ ) " FLOAT)
| Which player has United States as the country, more money ($) than 535,000, t10 as the place, with 73-68-73-74=288 as the score? | SELECT "Player" FROM table_47421 WHERE "Country" = 'united states' AND "Money ($)" > '535,000' AND "Place" = 't10' AND "Score" = '73-68-73-74=288' | SELECT "Player" FROM "table_47421" WHERE "Country" = 'united states' AND "Money ($)" > '535,000' AND "Place" = 't10' AND "Score" = '73-68-73-74=288' | 0.144531 |
CREATE TABLE table_9950 ("Year" CLOB, "Kansas" CLOB, "Nebraska" CLOB, "North Dakota" CLOB, "Oklahoma" CLOB, "South Dakota" CLOB, "Texas" CLOB)
| Which Nebraska has 2004 year? | SELECT "Nebraska" FROM table_9950 WHERE "Year" = '2004' | SELECT "Nebraska" FROM "table_9950" WHERE "Year" = '2004' | 0.055664 |
CREATE TABLE table_69034 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| What place was Corey Pavin in? | SELECT "Place" FROM table_69034 WHERE "Player" = 'corey pavin' | SELECT "Place" FROM "table_69034" WHERE "Player" = 'corey pavin' | 0.0625 |
CREATE TABLE table_7921 ("Season in Tamil" CLOB, "English Transliteration" CLOB, "English Translation" CLOB, "Season in Sanskrit" CLOB, "Season in English" CLOB, "Tamil Months" CLOB, "Gregorian Months" CLOB)
| What is the english translation of the sanskrit word varsha? | SELECT "English Translation" FROM table_7921 WHERE "Season in Sanskrit" = 'varsha' | SELECT "English Translation" FROM "table_7921" WHERE "Season in Sanskrit" = 'varsha' | 0.082031 |
CREATE TABLE movie (movie_id NUMBER, Title CLOB, Year NUMBER, Director CLOB, Budget_million FLOAT, Gross_worldwide NUMBER)
CREATE TABLE culture_company (Company_name CLOB, Type CLOB, Incorporated_in CLOB, Group_Equity_Shareholding FLOAT, book_club_id CLOB, movie_id CLOB)
CREATE TABLE book_club (book_club_id NUMBER, Year NUMBER, Author_or_Editor CLOB, Book_Title CLOB, Publisher CLOB, Category CLOB, Result CLOB)
| Give me a histogram for how many books fall into each category?, and rank the total number from high to low order. | SELECT Category, COUNT(*) FROM book_club GROUP BY Category ORDER BY COUNT(*) DESC | SELECT "Category", COUNT(*) FROM "book_club" GROUP BY "Category" ORDER BY COUNT(*) DESC | 0.084961 |
CREATE TABLE table_name_79 (ground VARCHAR2, crowd NUMBER)
| Which ground has a crowd over 41,185? | SELECT ground FROM table_name_79 WHERE crowd > 41 OFFSET 185 | SELECT "ground" FROM "table_name_79" WHERE "crowd" > 41 OFFSET 185 ROWS | 0.069336 |
CREATE TABLE table_name_19 (week NUMBER, attendance VARCHAR2)
| What is the average week number for games that had 28,800 fans in attendance? | SELECT AVG(week) FROM table_name_19 WHERE attendance = "28,800" | SELECT AVG("week") FROM "table_name_19" WHERE "28,800" = "attendance" | 0.067383 |
CREATE TABLE table_50803 ("Tie no" CLOB, "Home team" CLOB, "Score" CLOB, "Away team" CLOB, "Attendance" CLOB)
| What is the attendance for No. 15 tie? | SELECT "Attendance" FROM table_50803 WHERE "Tie no" = '15' | SELECT "Attendance" FROM "table_50803" WHERE "Tie no" = '15' | 0.058594 |
CREATE TABLE table_9960 ("Rank" CLOB, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| How many Silver medals for the Nation of Turkey with a Total of less than 2? | SELECT SUM("Silver") FROM table_9960 WHERE "Nation" = 'turkey' AND "Total" < '2' | SELECT SUM("Silver") FROM "table_9960" WHERE "Nation" = 'turkey' AND "Total" < '2' | 0.080078 |
CREATE TABLE table_15470 ("Year" FLOAT, "English title" CLOB, "Original title" CLOB, "Country" CLOB, "Director" CLOB)
| Name the country with year more than 2008 | SELECT "Country" FROM table_15470 WHERE "Year" > '2008' | SELECT "Country" FROM "table_15470" WHERE "Year" > '2008' | 0.055664 |
CREATE TABLE locations (country_id VARCHAR2)
| display the country ID and number of cities for each country. | SELECT country_id, COUNT(*) FROM locations GROUP BY country_id | SELECT "country_id", COUNT(*) FROM "locations" GROUP BY "country_id" | 0.066406 |
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 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)
| provide the number of patients whose gender is f and drug type is base? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.gender = "F" AND prescriptions.drug_type = "BASE" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "BASE" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "F" = "demographic"."gender" | 0.214844 |
CREATE TABLE table_37317 ("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 against in a game that was played correct as of 2009-05-16? | SELECT "Points against" FROM table_37317 WHERE "Played" = 'correct as of 2009-05-16' | SELECT "Points against" FROM "table_37317" WHERE "Played" = 'correct as of 2009-05-16' | 0.083984 |
CREATE TABLE table_name_54 (record VARCHAR2, week VARCHAR2, game_site VARCHAR2)
| What is the record of the game before week 5 and a bye game site? | SELECT record FROM table_name_54 WHERE week < 5 AND game_site = "bye" | SELECT "record" FROM "table_name_54" WHERE "bye" = "game_site" AND "week" < 5 | 0.075195 |
CREATE TABLE table_39613 ("Value" CLOB, "Color" CLOB, "Obverse" CLOB, "Reverse" CLOB, "First issued" FLOAT)
| How much was a Reverse of guitar of agust n p o barrios before 1998? | SELECT "Value" FROM table_39613 WHERE "First issued" < '1998' AND "Reverse" = 'guitar of agustín pío barrios' | SELECT "Value" FROM "table_39613" WHERE "First issued" < '1998' AND "Reverse" = 'guitar of agustín pío barrios' | 0.108398 |
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name 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 procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
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 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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
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_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_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 d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
| when patient 14671 got his arterial bp [systolic] measured for the first time since 74 days ago? | SELECT chartevents.charttime 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 = 14671)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [systolic]' AND d_items.linksto = 'chartevents') AND DATETIME(chartevents.charttime) >= DATETIME(CURRENT_TIME(), '-74 day') ORDER BY chartevents.charttime LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 14671 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 "chartevents"."charttime" 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 DATETIME("chartevents"."charttime") >= DATETIME(CURRENT_TIME(), '-74 day') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL ORDER BY "chartevents"."charttime" FETCH FIRST 1 ROWS ONLY | 0.808594 |
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId 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 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 ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId 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 Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE FlagTypes (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 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 CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
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 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 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 SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange 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 PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostHistoryTypes (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)
| Location of Users based on posts. | SELECT u.Location, COUNT(u.DisplayName) FROM Posts AS p JOIN Users AS u ON u.Id = p.OwnerUserId WHERE p.Tags LIKE ('%android%') AND NOT p.ParentId IS NULL GROUP BY u.Location ORDER BY 1 | SELECT "u"."Location", COUNT("u"."DisplayName") FROM "Posts" "p" JOIN "Users" "u" ON "p"."OwnerUserId" = "u"."Id" WHERE "p"."Tags" LIKE '%android%' AND NOT "p"."ParentId" IS NULL GROUP BY "u"."Location" ORDER BY 1 | 0.208008 |
CREATE TABLE table_58947 ("Binary" FLOAT, "Octal" FLOAT, "Decimal" FLOAT, "Hexadecimal" FLOAT, "Glyph" FLOAT)
| What is the lowest octal with a 30 hexadecimal and less than 0 glyphs? | SELECT MIN("Octal") FROM table_58947 WHERE "Hexadecimal" = '30' AND "Glyph" < '0' | SELECT MIN("Octal") FROM "table_58947" WHERE "Glyph" < '0' AND "Hexadecimal" = '30' | 0.081055 |
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
| NURS 610 was last offered when ? | SELECT DISTINCT semester.year FROM course, course_offering, semester WHERE course.course_id = course_offering.course_id AND course.department = 'NURS' AND course.number = 610 AND semester.semester_id = course_offering.semester ORDER BY semester.year DESC LIMIT 1 | SELECT DISTINCT "semester"."year" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" WHERE "course"."department" = 'NURS' AND "course"."number" = 610 ORDER BY "semester"."year" DESC FETCH FIRST 1 ROWS ONLY | 0.314453 |
CREATE TABLE table_28347 ("Road race" CLOB, "Distance" CLOB, "Location" CLOB, "Country" CLOB, "Month held" CLOB)
| How many times a year is the Brighton Marathon held? | SELECT COUNT("Month held") FROM table_28347 WHERE "Distance" = 'Marathon' AND "Location" = 'Brighton' | SELECT COUNT("Month held") FROM "table_28347" WHERE "Distance" = 'Marathon' AND "Location" = 'Brighton' | 0.100586 |
CREATE TABLE table_17372 ("Year" FLOAT, "Division" CLOB, "League" CLOB, "Reg. Season" CLOB, "Playoffs" CLOB, "Open Cup" CLOB)
| What year did they finish 1st, southern? | SELECT MAX("Year") FROM table_17372 WHERE "Reg. Season" = '1st, Southern' | SELECT MAX("Year") FROM "table_17372" WHERE "Reg. Season" = '1st, Southern' | 0.073242 |
CREATE TABLE table_53722 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Decision" CLOB, "Attendance" FLOAT, "Record" CLOB)
| What was the score of the game on October 20 when the home team is the NY Islanders? | SELECT "Score" FROM table_53722 WHERE "Home" = 'ny islanders' AND "Date" = 'october 20' | SELECT "Score" FROM "table_53722" WHERE "Date" = 'october 20' AND "Home" = 'ny islanders' | 0.086914 |
CREATE TABLE table_73965 ("No." FLOAT, "#" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Patient Portrayer" CLOB, "Original air date" CLOB, "Production code" CLOB)
| What is the production code for the episode where the patient portrayer is Kathy Lamkin? | SELECT "Production code" FROM table_73965 WHERE "Patient Portrayer" = 'Kathy Lamkin' | SELECT "Production code" FROM "table_73965" WHERE "Patient Portrayer" = 'Kathy Lamkin' | 0.083984 |
CREATE TABLE table_10602294_1 (dates_active VARCHAR2, name VARCHAR2)
| When was Kamba active? | SELECT dates_active FROM table_10602294_1 WHERE name = "Kamba" | SELECT "dates_active" FROM "table_10602294_1" WHERE "Kamba" = "name" | 0.066406 |
CREATE TABLE table_name_34 (population NUMBER, median_household_income VARCHAR2, number_of_households VARCHAR2)
| What is the highest Population that has a Median household income of $32,902 with a number of households less than 11,125 | SELECT MAX(population) FROM table_name_34 WHERE median_household_income = "$32,902" AND number_of_households < 11 OFFSET 125 | SELECT MAX("population") FROM "table_name_34" WHERE "$32,902" = "median_household_income" AND "number_of_households" < 11 OFFSET 125 ROWS | 0.133789 |
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 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)
| meniton the drug name for the drug with code abac300. | SELECT prescriptions.drug FROM prescriptions WHERE prescriptions.formulary_drug_cd = "ABAC300" | SELECT "prescriptions"."drug" FROM "prescriptions" WHERE "ABAC300" = "prescriptions"."formulary_drug_cd" | 0.101563 |
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost 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 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)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod 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 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 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 diagnoses_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 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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| number of patients who were diagnosed since 2105 with subendo infarct, subseq. | SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE admissions.hadm_id IN (SELECT diagnoses_icd.hadm_id FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'subendo infarct, subseq') AND STRFTIME('%y', diagnoses_icd.charttime) >= '2105') | WITH "_u_1" AS (SELECT "diagnoses_icd"."hadm_id" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'subendo infarct, subseq' WHERE STRFTIME('%y', "diagnoses_icd"."charttime") >= '2105' GROUP BY "hadm_id") SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "admissions" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "admissions"."hadm_id" WHERE NOT "_u_1"."" IS NULL | 0.445313 |
CREATE TABLE table_55911 ("Date" CLOB, "Name" CLOB, "Flag" CLOB, "Tonnage ( GRT ) " FLOAT, "Sunk by" CLOB)
| What is the date for Zouave? | SELECT "Date" FROM table_55911 WHERE "Name" = 'zouave' | SELECT "Date" FROM "table_55911" WHERE "Name" = 'zouave' | 0.054688 |
CREATE TABLE table_14047 ("Polling firm" CLOB, "Dates" CLOB, "Prog. Cons." CLOB, "New Democratic" CLOB, "Liberal" CLOB)
| Which firm conducted a poll in August 2006? | SELECT "Polling firm" FROM table_14047 WHERE "Dates" = 'august 2006' | SELECT "Polling firm" FROM "table_14047" WHERE "Dates" = 'august 2006' | 0.068359 |
CREATE TABLE film (Film_ID NUMBER, Title CLOB, Studio CLOB, Director CLOB, Gross_in_dollar NUMBER)
CREATE TABLE film_market_estimation (Estimation_ID NUMBER, Low_Estimate FLOAT, High_Estimate FLOAT, Film_ID NUMBER, Type CLOB, Market_ID NUMBER, Year NUMBER)
CREATE TABLE market (Market_ID NUMBER, Country CLOB, Number_cities NUMBER)
| List the studios of each film and the number of films produced by that studio Show bar chart, could you list by the X from low to high? | SELECT Studio, COUNT(*) FROM film GROUP BY Studio ORDER BY Studio | SELECT "Studio", COUNT(*) FROM "film" GROUP BY "Studio" ORDER BY "Studio" | 0.071289 |
CREATE TABLE table_203_42 (id NUMBER, "model" CLOB, "class" CLOB, "length" CLOB, "fuel" CLOB, "starting price" CLOB)
| which model has the lowest started price ? | SELECT "model" FROM table_203_42 ORDER BY "starting price" LIMIT 1 | SELECT "model" FROM "table_203_42" ORDER BY "starting price" FETCH FIRST 1 ROWS ONLY | 0.082031 |
CREATE TABLE table_66002 ("Rank" FLOAT, "Athlete" CLOB, "Country" CLOB, "Time" CLOB, "Notes" CLOB)
| Who is the athlete from greece? | SELECT "Athlete" FROM table_66002 WHERE "Country" = 'greece' | SELECT "Athlete" FROM "table_66002" WHERE "Country" = 'greece' | 0.060547 |
CREATE TABLE table_name_70 (date VARCHAR2, week VARCHAR2)
| What was the date during week 13? | SELECT date FROM table_name_70 WHERE week = 13 | SELECT "date" FROM "table_name_70" WHERE "week" = 13 | 0.050781 |
CREATE TABLE table_name_46 (terminus VARCHAR2, color VARCHAR2)
| The color diamond is assigned to which Terminus? | SELECT terminus FROM table_name_46 WHERE color = "diamond" | SELECT "terminus" FROM "table_name_46" WHERE "color" = "diamond" | 0.0625 |
CREATE TABLE table_36356 ("Team #1" CLOB, "Agg." CLOB, "Team #2" CLOB, "1st leg" CLOB, "2nd leg" CLOB)
| with team #1 as lukoil academic what is team #2? | SELECT "Team #2" FROM table_36356 WHERE "Team #1" = 'lukoil academic' | SELECT "Team #2" FROM "table_36356" WHERE "Team #1" = 'lukoil academic' | 0.069336 |
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
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 date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name 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 flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
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 state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt 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 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 days (days_code VARCHAR2, day_name VARCHAR2)
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 equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
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)
| flight information on 1 23 1992 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, date_day, days, flight WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND date_day.day_number = 23 AND date_day.month_number = 1 AND date_day.year = 1992 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DENVER' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 23 AND "date_day"."month_number" = 1 AND "date_day"."year" = 1992 JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'DENVER' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" JOIN "airport_service" "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' | 0.698242 |
CREATE TABLE table_name_68 (machine VARCHAR2, rider VARCHAR2)
| What machine has tony rutter as the rider? | SELECT machine FROM table_name_68 WHERE rider = "tony rutter" | SELECT "machine" FROM "table_name_68" WHERE "rider" = "tony rutter" | 0.06543 |
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
| Do you know who will be teaching ULCS classes next Winter ? | SELECT DISTINCT instructor.name FROM course INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN semester ON semester.semester_id = course_offering.semester INNER JOIN program_course ON program_course.course_id = course_offering.course_id INNER JOIN offering_instructor ON offering_instructor.offering_id = course_offering.offering_id INNER JOIN instructor ON offering_instructor.instructor_id = instructor.instructor_id WHERE program_course.category LIKE '%ULCS%' AND semester.semester = 'Winter' AND semester.year = 2017 | SELECT DISTINCT "instructor"."name" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "program_course" ON "course_offering"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%ULCS%' JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'Winter' AND "semester"."year" = 2017 JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" | 0.577148 |
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
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 d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label 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 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 procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime 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 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 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 microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name 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 d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| has vancomycin hcl, phenylephrine, or d5w (excel bag) been prescribed for patient 13806 until 2102? | SELECT COUNT(*) > 0 FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 13806) AND prescriptions.drug IN ('vancomycin hcl', 'phenylephrine', 'd5w (excel bag)') AND STRFTIME('%y', prescriptions.startdate) <= '2102' | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 13806 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "prescriptions" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" IN ('vancomycin hcl', 'phenylephrine', 'd5w (excel bag)') AND NOT "_u_0"."" IS NULL AND STRFTIME('%y', "prescriptions"."startdate") <= '2102' | 0.390625 |
CREATE TABLE table_203_425 (id NUMBER, "season" NUMBER, "driver" CLOB, "equipment" CLOB, "position" NUMBER, "points" NUMBER, "races" NUMBER, "wins" NUMBER, "second" NUMBER, "third" NUMBER)
| how many points were scored when there were less than 15 races ? | SELECT SUM("points") FROM table_203_425 WHERE "races" < 15 | SELECT SUM("points") FROM "table_203_425" WHERE "races" < 15 | 0.058594 |
CREATE TABLE table_train_175 ("id" NUMBER, "lipid_lowering_therapy" BOOLEAN, "hemoglobin_a1c_hba1c" FLOAT, "diabetic" CLOB, "fasting_serum_triglycerides" NUMBER, "gilbert_syndrome" BOOLEAN, "age" FLOAT, "alanine_aminotransferase" BOOLEAN, "NOUSE" FLOAT)
| has fasting serum triglycerides > 400 mg / dl ( > 4.52 mmol / l ) or > 250 mg / dl ( > 2.85 mmol / l ) if not on stable lipid _ lowering therapy for at least 4 weeks prior to screening | SELECT * FROM table_train_175 WHERE fasting_serum_triglycerides > 400 OR (fasting_serum_triglycerides > 250 AND lipid_lowering_therapy = 0) | SELECT * FROM "table_train_175" WHERE "fasting_serum_triglycerides" > 250 AND ("fasting_serum_triglycerides" > 400 OR "lipid_lowering_therapy" = 0) | 0.143555 |
CREATE TABLE table_5122 ("Date" CLOB, "City" CLOB, "Opponent" CLOB, "Results\\u00b9" CLOB, "Type of game" CLOB)
| What opponent has euro '84 qualifying as the type and split as the city? | SELECT "Opponent" FROM table_5122 WHERE "Type of game" = 'euro ''84 qualifying' AND "City" = 'split' | SELECT "Opponent" FROM "table_5122" WHERE "City" = 'split' AND "Type of game" = 'euro ''84 qualifying' | 0.099609 |
CREATE TABLE Projects (project_id NUMBER, organisation_id NUMBER, project_details VARCHAR2)
CREATE TABLE Research_Outcomes (outcome_code VARCHAR2, outcome_description VARCHAR2)
CREATE TABLE Document_Types (document_type_code VARCHAR2, document_description VARCHAR2)
CREATE TABLE Organisations (organisation_id NUMBER, organisation_type VARCHAR2, organisation_details VARCHAR2)
CREATE TABLE Documents (document_id NUMBER, document_type_code VARCHAR2, grant_id NUMBER, sent_date DATETIME, response_received_date DATETIME, other_details VARCHAR2)
CREATE TABLE Organisation_Types (organisation_type VARCHAR2, organisation_type_description VARCHAR2)
CREATE TABLE Grants (grant_id NUMBER, organisation_id NUMBER, grant_amount NUMBER, grant_start_date DATETIME, grant_end_date DATETIME, other_details VARCHAR2)
CREATE TABLE Research_Staff (staff_id NUMBER, employer_organisation_id NUMBER, staff_details VARCHAR2)
CREATE TABLE Tasks (task_id NUMBER, project_id NUMBER, task_details VARCHAR2, "eg Agree Objectives" VARCHAR2)
CREATE TABLE Staff_Roles (role_code VARCHAR2, role_description VARCHAR2)
CREATE TABLE Project_Staff (staff_id DOUBLE PRECISION, project_id NUMBER, role_code VARCHAR2, date_from DATETIME, date_to DATETIME, other_details VARCHAR2)
CREATE TABLE Project_Outcomes (project_id NUMBER, outcome_code VARCHAR2, outcome_details VARCHAR2)
| Return a bar chart on what are the ids and details for all organizations that have grants of more than 6000 dollars?, and sort by the names from high to low. | SELECT T2.organisation_details, T1.organisation_id FROM Grants AS T1 JOIN Organisations AS T2 ON T1.organisation_id = T2.organisation_id GROUP BY T2.organisation_details ORDER BY T2.organisation_details DESC | SELECT "T2"."organisation_details", "T1"."organisation_id" FROM "Grants" "T1" JOIN "Organisations" "T2" ON "T1"."organisation_id" = "T2"."organisation_id" GROUP BY "T2"."organisation_details" ORDER BY "T2"."organisation_details" DESC | 0.227539 |
CREATE TABLE table_name_49 (location VARCHAR2, country VARCHAR2)
| Which location is in the Belgian Congo Tanganyika? | SELECT location FROM table_name_49 WHERE country = "belgian congo tanganyika" | SELECT "location" FROM "table_name_49" WHERE "belgian congo tanganyika" = "country" | 0.081055 |
CREATE TABLE player_award (year VARCHAR2)
CREATE TABLE player (name_first VARCHAR2, name_last VARCHAR2)
| Find the players' first name and last name who won award both in 1960 and in 1961. | SELECT T1.name_first, T1.name_last FROM player AS T1 JOIN player_award AS T2 WHERE T2.year = 1960 INTERSECT SELECT T1.name_first, T1.name_last FROM player AS T1 JOIN player_award AS T2 WHERE T2.year = 1961 | SELECT "T1"."name_first", "T1"."name_last" FROM "player" "T1" JOIN "player_award" "T2" ON "T2"."year" = 1960 INTERSECT SELECT "T1"."name_first", "T1"."name_last" FROM "player" "T1" JOIN "player_award" "T2" ON "T2"."year" = 1961 | 0.22168 |
CREATE TABLE table_75621 ("Source" CLOB, "Date" CLOB, "Goldberg" CLOB, "Murray" CLOB, "Silbert" CLOB, "Undecided" CLOB)
| What is the date of the poll with Silbert at 10.0%? | SELECT "Date" FROM table_75621 WHERE "Silbert" = '10.0%' | SELECT "Date" FROM "table_75621" WHERE "Silbert" = '10.0%' | 0.056641 |
CREATE TABLE table_16435 ("English name" CLOB, "Original name" CLOB, "Area in km\\u00b2" CLOB, "Population at 2010 Census" FLOAT, "Number of settlements and villages" FLOAT)
| How many districts have an area of 17.72 KM2? | SELECT COUNT("English name") FROM table_16435 WHERE "Area in km\u00b2" = '17.72' | SELECT COUNT("English name") FROM "table_16435" WHERE "Area in km\u00b2" = '17.72' | 0.080078 |
CREATE TABLE table_name_44 (team_c VARCHAR2, team_e VARCHAR2)
| Who is team c when dhez javier is team e? | SELECT team_c FROM table_name_44 WHERE team_e = "dhez javier" | SELECT "team_c" FROM "table_name_44" WHERE "dhez javier" = "team_e" | 0.06543 |
CREATE TABLE table_17730 ("Program" CLOB, "Degree" CLOB, "Focus" CLOB, "Teaching language" CLOB, "Duration ( years ) " CLOB, "full-time/part-time" CLOB, "ECTS Credit Points" FLOAT)
| What is the program where the focus is general management? | SELECT "Program" FROM table_17730 WHERE "Focus" = 'General Management' | SELECT "Program" FROM "table_17730" WHERE "Focus" = 'General Management' | 0.070313 |
CREATE TABLE problem_category_codes (problem_category_code CLOB, problem_category_description CLOB)
CREATE TABLE problem_status_codes (problem_status_code CLOB, problem_status_description CLOB)
CREATE TABLE product (product_id NUMBER, product_name CLOB, product_details CLOB)
CREATE TABLE problems (problem_id NUMBER, product_id NUMBER, closure_authorised_by_staff_id NUMBER, reported_by_staff_id NUMBER, date_problem_reported TIME, date_problem_closed TIME, problem_description CLOB, other_problem_details CLOB)
CREATE TABLE staff (staff_id NUMBER, staff_first_name CLOB, staff_last_name CLOB, other_staff_details CLOB)
CREATE TABLE problem_log (problem_log_id NUMBER, assigned_to_staff_id NUMBER, problem_id NUMBER, problem_category_code CLOB, problem_status_code CLOB, log_entry_date TIME, log_entry_description CLOB, log_entry_fix CLOB, other_log_details CLOB)
| List the names of all the distinct product names in alphabetical order? | SELECT DISTINCT product_name FROM product ORDER BY product_name | SELECT DISTINCT "product_name" FROM "product" ORDER BY "product_name" | 0.067383 |
CREATE TABLE table_name_42 (player VARCHAR2, pens VARCHAR2, start VARCHAR2)
| Which Player has 0 Pens and 12 Starts? | SELECT player FROM table_name_42 WHERE pens = "0" AND start = "12" | SELECT "player" FROM "table_name_42" WHERE "0" = "pens" AND "12" = "start" | 0.072266 |
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 code_description (code VARCHAR2, description CLOB)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code 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 class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type 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 airline (airline_code VARCHAR2, airline_name CLOB, note 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 flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight 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)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt 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)
CREATE TABLE days (days_code VARCHAR2, 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 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 time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
| what is the cheapest fare from WASHINGTON to SAN FRANCISCO leaving on 9 30 | SELECT DISTINCT fare.fare_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day AS DATE_DAY_0, date_day AS DATE_DAY_1, days AS DAYS_0, days AS DAYS_1, fare, fare_basis, flight, flight_fare WHERE ((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND DATE_DAY_1.day_number = 30 AND DATE_DAY_1.month_number = 9 AND DATE_DAY_1.year = 1991 AND DAYS_1.day_name = DATE_DAY_1.day_name AND flight.flight_days = DAYS_1.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'WASHINGTON' AND DATE_DAY_0.day_number = 30 AND DATE_DAY_0.month_number = 9 AND DATE_DAY_0.year = 1991 AND DAYS_0.day_name = DATE_DAY_0.day_name AND fare_basis.basis_days = DAYS_0.days_code AND fare.fare_basis_code = fare_basis.fare_basis_code AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND fare.one_direction_cost = (SELECT MIN(FAREalias1.one_direction_cost) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, date_day AS DATE_DAYalias2, date_day AS DATE_DAYalias3, days AS DAYSalias2, days AS DAYSalias3, fare AS FAREalias1, fare_basis AS FARE_BASISalias1, flight AS FLIGHTalias1, flight_fare AS FLIGHT_FAREalias1 WHERE (CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'SAN FRANCISCO' AND DATE_DAYalias3.day_number = 30 AND DATE_DAYalias3.month_number = 9 AND DATE_DAYalias3.year = 1991 AND DAYSalias3.day_name = DATE_DAYalias3.day_name AND FLIGHTalias1.flight_days = DAYSalias3.days_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) AND CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'WASHINGTON' AND DATE_DAYalias2.day_number = 30 AND DATE_DAYalias2.month_number = 9 AND DATE_DAYalias2.year = 1991 AND DAYSalias2.day_name = DATE_DAYalias2.day_name AND FARE_BASISalias1.basis_days = DAYSalias2.days_code AND FAREalias1.fare_basis_code = FARE_BASISalias1.fare_basis_code AND FLIGHT_FAREalias1.fare_id = FAREalias1.fare_id AND FLIGHTalias1.flight_id = FLIGHT_FAREalias1.flight_id AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code) | WITH "_u_0" AS (SELECT MIN("FAREalias1"."one_direction_cost") FROM "airport_service" "AIRPORT_SERVICEalias2" JOIN "date_day" "DATE_DAYalias2" ON "DATE_DAYalias2"."day_number" = 30 AND "DATE_DAYalias2"."month_number" = 9 AND "DATE_DAYalias2"."year" = 1991 JOIN "date_day" "DATE_DAYalias3" ON "DATE_DAYalias3"."day_number" = 30 AND "DATE_DAYalias3"."month_number" = 9 AND "DATE_DAYalias3"."year" = 1991 JOIN "city" "CITYalias2" ON "AIRPORT_SERVICEalias2"."city_code" = "CITYalias2"."city_code" AND "CITYalias2"."city_name" = 'WASHINGTON' JOIN "days" "DAYSalias2" ON "DATE_DAYalias2"."day_name" = "DAYSalias2"."day_name" JOIN "days" "DAYSalias3" ON "DATE_DAYalias3"."day_name" = "DAYSalias3"."day_name" JOIN "fare_basis" "FARE_BASISalias1" ON "DAYSalias2"."days_code" = "FARE_BASISalias1"."basis_days" JOIN "flight" "FLIGHTalias1" ON "AIRPORT_SERVICEalias2"."airport_code" = "FLIGHTalias1"."from_airport" AND "DAYSalias3"."days_code" = "FLIGHTalias1"."flight_days" JOIN "airport_service" "AIRPORT_SERVICEalias3" ON "AIRPORT_SERVICEalias3"."airport_code" = "FLIGHTalias1"."to_airport" JOIN "flight_fare" "FLIGHT_FAREalias1" ON "FLIGHT_FAREalias1"."flight_id" = "FLIGHTalias1"."flight_id" JOIN "city" "CITYalias3" ON "AIRPORT_SERVICEalias3"."city_code" = "CITYalias3"."city_code" AND "CITYalias3"."city_name" = 'SAN FRANCISCO' JOIN "fare" "FAREalias1" ON "FARE_BASISalias1"."fare_basis_code" = "FAREalias1"."fare_basis_code" AND "FAREalias1"."fare_id" = "FLIGHT_FAREalias1"."fare_id") SELECT DISTINCT "fare"."fare_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "date_day" "DATE_DAY_0" ON "DATE_DAY_0"."day_number" = 30 AND "DATE_DAY_0"."month_number" = 9 AND "DATE_DAY_0"."year" = 1991 JOIN "date_day" "DATE_DAY_1" ON "DATE_DAY_1"."day_number" = 30 AND "DATE_DAY_1"."month_number" = 9 AND "DATE_DAY_1"."year" = 1991 JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'WASHINGTON' JOIN "days" "DAYS_0" ON "DATE_DAY_0"."day_name" = "DAYS_0"."day_name" JOIN "days" "DAYS_1" ON "DATE_DAY_1"."day_name" = "DAYS_1"."day_name" JOIN "fare_basis" ON "DAYS_0"."days_code" = "fare_basis"."basis_days" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "DAYS_1"."days_code" = "flight"."flight_days" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SAN FRANCISCO' JOIN "fare" ON "fare"."fare_basis_code" = "fare_basis"."fare_basis_code" AND "fare"."fare_id" = "flight_fare"."fare_id" JOIN "_u_0" "_u_0" ON "_u_0"."" = "fare"."one_direction_cost" | 2.6875 |
CREATE TABLE table_name_73 (round VARCHAR2, record VARCHAR2)
| What round had a record of 8-2? | SELECT round FROM table_name_73 WHERE record = "8-2" | SELECT "round" FROM "table_name_73" WHERE "8-2" = "record" | 0.056641 |
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