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CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| give me the number of patients whose diagnoses icd9 code is 58889 and lab test category is chemistry? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.icd9_code = "58889" AND lab."CATEGORY" = "Chemistry" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "58889" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "Chemistry" = "lab"."CATEGORY" AND "demographic"."hadm_id" = "lab"."hadm_id" | 0.258789 |
CREATE TABLE election (Delegate VARCHAR2, District VARCHAR2)
| Show the delegate from district 1 in election. | SELECT Delegate FROM election WHERE District = 1 | SELECT "Delegate" FROM "election" WHERE "District" = 1 | 0.052734 |
CREATE TABLE table_19521 ("Station Name" CLOB, "2002\\u201303" FLOAT, "2004\\u201305" FLOAT, "2005\\u201306" FLOAT, "2006\\u201307" FLOAT, "2007\\u201308" FLOAT, "2008\\u201309" FLOAT, "2009\\u201310" FLOAT, "2010\\u201311" FLOAT, "2011\\u201312" FLOAT)
| What was the least volume recorded in 2011-12 when 2008-09 had 21652? | SELECT MIN("2011\u201312") FROM table_19521 WHERE "2008\u201309" = '21652' | SELECT MIN("2011\u201312") FROM "table_19521" WHERE "2008\u201309" = '21652' | 0.074219 |
CREATE TABLE table_287659_2 (regional_page__number VARCHAR2, region_name VARCHAR2)
| In the North Central region, what are the regional page #'s? | SELECT regional_page__number FROM table_287659_2 WHERE region_name = "North Central" | SELECT "regional_page__number" FROM "table_287659_2" WHERE "North Central" = "region_name" | 0.087891 |
CREATE TABLE Video_games (gtype VARCHAR2)
| Which game type has most number of games? | SELECT gtype FROM Video_games GROUP BY gtype ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "gtype" FROM "Video_games" GROUP BY "gtype" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY | 0.094727 |
CREATE TABLE table_69538 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Record" CLOB)
| On what date was the record 62 84? | SELECT "Date" FROM table_69538 WHERE "Record" = '62–84' | SELECT "Date" FROM "table_69538" WHERE "Record" = '62–84' | 0.055664 |
CREATE TABLE table_49105 ("Rider" CLOB, "Manufacturer" CLOB, "Laps" FLOAT, "Time/Retired" CLOB, "Grid" FLOAT)
| How many Laps have a Grid larger than 9, and a Time/Retired of +32.354? | SELECT COUNT("Laps") FROM table_49105 WHERE "Grid" > '9' AND "Time/Retired" = '+32.354' | SELECT COUNT("Laps") FROM "table_49105" WHERE "Grid" > '9' AND "Time/Retired" = '+32.354' | 0.086914 |
CREATE TABLE table_31648 ("Tournament" CLOB, "1987" CLOB, "1988" CLOB, "1989" CLOB, "1990" CLOB, "1991" CLOB, "1992" CLOB, "1993" CLOB, "1994" CLOB, "1995" CLOB, "1996" CLOB, "1997" CLOB, "1998" CLOB, "1999" CLOB, "2000" CLOB, "2001" CLOB, "2002" CLOB, "2003" CLOB, "2004" CLOB, "2005" CLOB)
| What Tournament of the french open had 2004 that has a 1998 of 2r? | SELECT "2004" FROM table_31648 WHERE "1998" = '2r' AND "Tournament" = 'french open' | SELECT "2004" FROM "table_31648" WHERE "1998" = '2r' AND "Tournament" = 'french open' | 0.083008 |
CREATE TABLE table_name_99 (Id VARCHAR2)
| Which 2003 has a 2013 of 1r, and a 2007 of 2r? | SELECT 2003 FROM table_name_99 WHERE 2013 = "1r" AND 2007 = "2r" | SELECT 2003 FROM "table_name_99" WHERE "1r" = 2013 AND "2r" = 2007 | 0.064453 |
CREATE TABLE table_name_22 (to_par VARCHAR2, country VARCHAR2, score VARCHAR2)
| What is To Par, when Country is United States, and when Score is 71-68-73=212? | SELECT to_par FROM table_name_22 WHERE country = "united states" AND score = 71 - 68 - 73 = 212 | SELECT "to_par" FROM "table_name_22" WHERE "country" = "united states" AND "score" = FALSE | 0.087891 |
CREATE TABLE table_37230 ("Draw" FLOAT, "Artist" CLOB, "Song" CLOB, "Composer" CLOB, "Lyricist" CLOB, "Place" FLOAT, "Points" FLOAT)
| What is the total number of points for ray agius | SELECT SUM("Points") FROM table_37230 WHERE "Lyricist" = 'ray agius' | SELECT SUM("Points") FROM "table_37230" WHERE "Lyricist" = 'ray agius' | 0.068359 |
CREATE TABLE table_name_22 (round VARCHAR2, res VARCHAR2, record VARCHAR2)
| What round was a loss with a record of 12-3? | SELECT round FROM table_name_22 WHERE res = "loss" AND record = "12-3" | SELECT "round" FROM "table_name_22" WHERE "12-3" = "record" AND "loss" = "res" | 0.076172 |
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 demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| what is the number of patients whose ethnicity is white - russian and drug name is readi-cat 2 (barium sulfate 2% suspension)? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "WHITE - RUSSIAN" AND prescriptions.drug = "Readi-Cat 2 (Barium Sulfate 2% Suspension)" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Readi-Cat 2 (Barium Sulfate 2% Suspension)" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "WHITE - RUSSIAN" = "demographic"."ethnicity" | 0.263672 |
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 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 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)
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 ReviewTaskStates (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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE 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)
| number of all users in a tag. | WITH answers AS (SELECT a.OwnerUserId AS UserId, 1.0 / RANK() OVER (PARTITION BY q.Id ORDER BY a.Score DESC) AS utility, 1.0 * q.AnswerCount AS debatableness, 1.0 / RANK() OVER (PARTITION BY q.Id ORDER BY a.Score DESC) * q.AnswerCount / @tag_debate AS EC FROM Posts AS q JOIN Posts AS a ON q.Id = a.ParentId JOIN PostTags ON q.Id = PostId JOIN Tags AS t ON TagId = t.Id WHERE TagName = '##tag##'), user_MEC AS (SELECT UserId AS "user_link", SUM(EC) / COUNT(*) AS MEC, AVG(utility) AS AU, AVG(debatableness) AS D, @tag_debate AS D_avg_t, COUNT(*) AS Q_u_t FROM answers GROUP BY UserId) SELECT COUNT(*) FROM user_MEC WHERE MEC >= 1 AND Q_u_t >= 1 | WITH "user_MEC" AS (SELECT MAX(1) AS "_" FROM "Posts" "q" JOIN "Tags" "t" ON "TagId" = "t"."Id" JOIN "PostTags" ON "PostId" = "q"."Id" JOIN "Posts" "a" ON "a"."ParentId" = "q"."Id" WHERE "TagName" = '##tag##' GROUP BY "UserId") SELECT COUNT(*) FROM "user_MEC" WHERE "MEC" >= 1 AND "Q_u_t" >= 1 | 0.286133 |
CREATE TABLE Invoice_Line_Items (order_item_id NUMBER, invoice_number NUMBER, product_id NUMBER, product_title VARCHAR2, product_quantity VARCHAR2, product_price NUMBER, derived_product_cost NUMBER, derived_vat_payable NUMBER, derived_total_cost NUMBER)
CREATE TABLE Products (product_id NUMBER, parent_product_id NUMBER, production_type_code VARCHAR2, unit_price NUMBER, product_name VARCHAR2, product_color VARCHAR2, product_size VARCHAR2)
CREATE TABLE Product_Categories (production_type_code VARCHAR2, product_type_description VARCHAR2, vat_rating NUMBER)
CREATE TABLE Orders (order_id NUMBER, customer_id NUMBER, date_order_placed DATETIME, order_details VARCHAR2)
CREATE TABLE Customers (customer_id NUMBER, customer_first_name VARCHAR2, customer_middle_initial VARCHAR2, customer_last_name VARCHAR2, gender VARCHAR2, email_address VARCHAR2, login_name VARCHAR2, login_password VARCHAR2, phone_number VARCHAR2, town_city VARCHAR2, state_county_province VARCHAR2, country VARCHAR2)
CREATE TABLE Accounts (account_id NUMBER, customer_id NUMBER, date_account_opened DATETIME, account_name VARCHAR2, other_account_details VARCHAR2)
CREATE TABLE Order_Items (order_item_id NUMBER, order_id NUMBER, product_id NUMBER, product_quantity VARCHAR2, other_order_item_details VARCHAR2)
CREATE TABLE Financial_Transactions (transaction_id NUMBER, account_id NUMBER, invoice_number NUMBER, transaction_type VARCHAR2, transaction_date DATETIME, transaction_amount NUMBER, transaction_comment VARCHAR2, other_transaction_details VARCHAR2)
CREATE TABLE Invoices (invoice_number NUMBER, order_id NUMBER, invoice_date DATETIME)
| How many accounts for each customer? Show a bar chart that groups by customer's last name, I want to rank from high to low by the total number. | SELECT customer_last_name, COUNT(*) FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id ORDER BY COUNT(*) DESC | SELECT "customer_last_name", COUNT(*) FROM "Accounts" "T1" JOIN "Customers" "T2" ON "T1"."customer_id" = "T2"."customer_id" GROUP BY "T1"."customer_id" ORDER BY COUNT(*) DESC | 0.169922 |
CREATE TABLE table_name_75 (age_group VARCHAR2, event VARCHAR2, time VARCHAR2)
| What age group has a time of 6:37.73 at the 200m breaststroke? | SELECT age_group FROM table_name_75 WHERE event = "200m breaststroke" AND time = "6:37.73" | SELECT "age_group" FROM "table_name_75" WHERE "200m breaststroke" = "event" AND "6:37.73" = "time" | 0.095703 |
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress 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 Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE 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 ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
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 ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId 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)
| The fastest shots on the west. | SELECT Q.Id AS "post_link", Q.CreationDate AS Asked, A.LastEditDate AS Answered, CAST((JULIANDAY(A.LastEditDate) - JULIANDAY(Q.CreationDate)) AS INT) AS Seconds FROM Posts AS Q, Posts AS A WHERE A.ParentId = Q.Id AND A.OwnerUserId != Q.OwnerUserId AND A.OwnerUserId >= 1 AND Q.OwnerUserId >= 1 AND A.LastEditDate >= Q.CreationDate ORDER BY Seconds LIMIT 100 | SELECT "Q"."Id" AS "post_link", "Q"."CreationDate" AS "Asked", "A"."LastEditDate" AS "Answered", CAST((JULIANDAY("A"."LastEditDate") - JULIANDAY("Q"."CreationDate")) AS NUMBER) AS "Seconds" FROM "Posts" "Q" JOIN "Posts" "A" ON "A"."LastEditDate" >= "Q"."CreationDate" AND "A"."OwnerUserId" <> "Q"."OwnerUserId" AND "A"."OwnerUserId" >= 1 AND "A"."ParentId" = "Q"."Id" WHERE "Q"."OwnerUserId" >= 1 ORDER BY "Seconds" FETCH FIRST 100 ROWS ONLY | 0.430664 |
CREATE TABLE table_name_60 (circuit VARCHAR2, date VARCHAR2)
| what is the circuit when the date is 16 april? | SELECT circuit FROM table_name_60 WHERE date = "16 april" | SELECT "circuit" FROM "table_name_60" WHERE "16 april" = "date" | 0.061523 |
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code 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 time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id 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 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 city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant 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 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 class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
| list all nonstop flights on tuesday before 1200 from CHARLOTTE to BALTIMORE | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE (((date_day.day_number = 22 AND date_day.month_number = 3 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.departure_time < 1200 AND flight.flight_days = days.days_code) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BALTIMORE' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'CHARLOTTE' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.stops = 0 | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 22 AND "date_day"."month_number" = 3 AND "date_day"."year" = 1991 JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'CHARLOTTE' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" AND "flight"."departure_time" < 1200 AND "flight"."stops" = 0 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" = 'BALTIMORE' | 0.757813 |
CREATE TABLE Products (Product_ID VARCHAR2, Product_Name VARCHAR2, Product_Price NUMBER, Product_Description VARCHAR2, Other_Product_Service_Details VARCHAR2)
CREATE TABLE Drama_Workshop_Groups (Workshop_Group_ID NUMBER, Address_ID NUMBER, Currency_Code CHAR, Marketing_Region_Code CHAR, Store_Name VARCHAR2, Store_Phone VARCHAR2, Store_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Invoice_Items (Invoice_Item_ID NUMBER, Invoice_ID NUMBER, Order_ID NUMBER, Order_Item_ID NUMBER, Product_ID NUMBER, Order_Quantity NUMBER, Other_Item_Details VARCHAR2)
CREATE TABLE Services (Service_ID NUMBER, Service_Type_Code CHAR, Workshop_Group_ID NUMBER, Product_Description VARCHAR2, Product_Name VARCHAR2, Product_Price NUMBER, Other_Product_Service_Details VARCHAR2)
CREATE TABLE Clients (Client_ID NUMBER, Address_ID NUMBER, Customer_Email_Address VARCHAR2, Customer_Name VARCHAR2, Customer_Phone VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Customer_Orders (Order_ID NUMBER, Customer_ID NUMBER, Store_ID NUMBER, Order_Date DATETIME, Planned_Delivery_Date DATETIME, Actual_Delivery_Date DATETIME, Other_Order_Details VARCHAR2)
CREATE TABLE Ref_Payment_Methods (payment_method_code CHAR, payment_method_description VARCHAR2)
CREATE TABLE Invoices (Invoice_ID NUMBER, Order_ID NUMBER, payment_method_code CHAR, Product_ID NUMBER, Order_Quantity VARCHAR2, Other_Item_Details VARCHAR2, Order_Item_ID NUMBER)
CREATE TABLE Order_Items (Order_Item_ID NUMBER, Order_ID NUMBER, Product_ID NUMBER, Order_Quantity VARCHAR2, Other_Item_Details VARCHAR2)
CREATE TABLE Customers (Customer_ID VARCHAR2, Address_ID NUMBER, Customer_Name VARCHAR2, Customer_Phone VARCHAR2, Customer_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Performers_in_Bookings (Order_ID NUMBER, Performer_ID NUMBER)
CREATE TABLE Ref_Service_Types (Service_Type_Code CHAR, Parent_Service_Type_Code CHAR, Service_Type_Description VARCHAR2)
CREATE TABLE Bookings_Services (Order_ID NUMBER, Product_ID NUMBER)
CREATE TABLE Bookings (Booking_ID NUMBER, Customer_ID NUMBER, Workshop_Group_ID VARCHAR2, Status_Code CHAR, Store_ID NUMBER, Order_Date DATETIME, Planned_Delivery_Date DATETIME, Actual_Delivery_Date DATETIME, Other_Order_Details VARCHAR2)
CREATE TABLE Addresses (Address_ID VARCHAR2, Line_1 VARCHAR2, Line_2 VARCHAR2, City_Town VARCHAR2, State_County VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Marketing_Regions (Marketing_Region_Code CHAR, Marketing_Region_Name VARCHAR2, Marketing_Region_Descriptrion VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Performers (Performer_ID NUMBER, Address_ID NUMBER, Customer_Name VARCHAR2, Customer_Phone VARCHAR2, Customer_Email_Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Stores (Store_ID VARCHAR2, Address_ID NUMBER, Marketing_Region_Code CHAR, Store_Name VARCHAR2, Store_Phone VARCHAR2, Store_Email_Address VARCHAR2, Other_Details VARCHAR2)
| Visualize the general trend of the number of planned delivery date over the planned delivery date, and rank by the X-axis in descending. | SELECT Planned_Delivery_Date, COUNT(Planned_Delivery_Date) FROM Bookings ORDER BY Planned_Delivery_Date DESC | SELECT "Planned_Delivery_Date", COUNT("Planned_Delivery_Date") FROM "Bookings" ORDER BY "Planned_Delivery_Date" DESC | 0.113281 |
CREATE TABLE table_63958 ("Name" CLOB, "Nationality" CLOB, "Races won" FLOAT, "Races ridden" FLOAT, "Win average" FLOAT)
| How many races did the German racer that won less than 10 races ride? | SELECT COUNT("Races ridden") FROM table_63958 WHERE "Nationality" = 'german' AND "Races won" < '10' | SELECT COUNT("Races ridden") FROM "table_63958" WHERE "Nationality" = 'german' AND "Races won" < '10' | 0.098633 |
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE ReviewTaskResultTypes (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 Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense 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 PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
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)
| list post count and user id that made a post. | SELECT COUNT(Id) AS post_count, OwnerUserId FROM Posts GROUP BY OwnerUserId ORDER BY post_count DESC | SELECT COUNT("Id") AS "post_count", "OwnerUserId" FROM "Posts" GROUP BY "OwnerUserId" ORDER BY "post_count" DESC | 0.109375 |
CREATE TABLE table_25646820_2 (points VARCHAR2, player VARCHAR2)
| Name the points for donald boor | SELECT points FROM table_25646820_2 WHERE player = "Donald Boor" | SELECT "points" FROM "table_25646820_2" WHERE "Donald Boor" = "player" | 0.068359 |
CREATE TABLE diagnoses (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 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 procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| give me the number of patients whose discharge location is snf and admission year is less than 2146? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.discharge_location = "SNF" AND demographic.admityear < "2146" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2146" > "demographic"."admityear" AND "SNF" = "demographic"."discharge_location" | 0.152344 |
CREATE TABLE table_24108789_4 (before NUMBER)
| What is the earliest number in before? | SELECT MIN(before) FROM table_24108789_4 | SELECT MIN("before") FROM "table_24108789_4" | 0.042969 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| give me the number of patients whose ethnicity is black/cape verdean and diagnoses icd9 code is 1536? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.ethnicity = "BLACK/CAPE VERDEAN" AND diagnoses.icd9_code = "1536" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "1536" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "BLACK/CAPE VERDEAN" = "demographic"."ethnicity" | 0.222656 |
CREATE TABLE table_9159 ("Rank" FLOAT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What is the maximum rank when there is 0 gold, and the bronze is less than 4, and the silver is greater than 1, and 2 as the total? | SELECT MAX("Rank") FROM table_9159 WHERE "Gold" = '0' AND "Bronze" < '4' AND "Total" = '2' AND "Silver" > '1' | SELECT MAX("Rank") FROM "table_9159" WHERE "Bronze" < '4' AND "Gold" = '0' AND "Silver" > '1' AND "Total" = '2' | 0.108398 |
CREATE TABLE Locations (Location_ID NUMBER, Location_Name VARCHAR2, Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Photos (Photo_ID NUMBER, Tourist_Attraction_ID NUMBER, Name VARCHAR2, Description VARCHAR2, Filename VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Visitors (Tourist_ID NUMBER, Tourist_Details VARCHAR2)
CREATE TABLE Staff (Staff_ID NUMBER, Tourist_Attraction_ID NUMBER, Name VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Street_Markets (Market_ID NUMBER, Market_Details VARCHAR2)
CREATE TABLE Shops (Shop_ID NUMBER, Shop_Details VARCHAR2)
CREATE TABLE Tourist_Attraction_Features (Tourist_Attraction_ID NUMBER, Feature_ID NUMBER)
CREATE TABLE Hotels (hotel_id NUMBER, star_rating_code CHAR, pets_allowed_yn CHAR, price_range FLOAT, other_hotel_details VARCHAR2)
CREATE TABLE Visits (Visit_ID NUMBER, Tourist_Attraction_ID NUMBER, Tourist_ID NUMBER, Visit_Date DATETIME, Visit_Details VARCHAR2)
CREATE TABLE Museums (Museum_ID NUMBER, Museum_Details VARCHAR2)
CREATE TABLE Ref_Hotel_Star_Ratings (star_rating_code CHAR, star_rating_description VARCHAR2)
CREATE TABLE Royal_Family (Royal_Family_ID NUMBER, Royal_Family_Details VARCHAR2)
CREATE TABLE Tourist_Attractions (Tourist_Attraction_ID NUMBER, Attraction_Type_Code CHAR, Location_ID NUMBER, How_to_Get_There VARCHAR2, Name VARCHAR2, Description VARCHAR2, Opening_Hours VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Theme_Parks (Theme_Park_ID NUMBER, Theme_Park_Details VARCHAR2)
CREATE TABLE Features (Feature_ID NUMBER, Feature_Details VARCHAR2)
CREATE TABLE Ref_Attraction_Types (Attraction_Type_Code CHAR, Attraction_Type_Description VARCHAR2)
| A bar chart for what are the number of the distinct visit dates? | SELECT Visit_Date, COUNT(Visit_Date) FROM Visits | SELECT "Visit_Date", COUNT("Visit_Date") FROM "Visits" | 0.052734 |
CREATE TABLE table_name_82 (grid NUMBER, time VARCHAR2, laps VARCHAR2)
| which grid did less than 20 laps in a time of +58.353? | SELECT MIN(grid) FROM table_name_82 WHERE time = "+58.353" AND laps < 20 | SELECT MIN("grid") FROM "table_name_82" WHERE "+58.353" = "time" AND "laps" < 20 | 0.078125 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
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)
| count the number of patients whose ethnicity is black/african american and year of birth is less than 2076? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "BLACK/AFRICAN AMERICAN" AND demographic.dob_year < "2076" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2076" > "demographic"."dob_year" AND "BLACK/AFRICAN AMERICAN" = "demographic"."ethnicity" | 0.161133 |
CREATE TABLE table_name_51 (away_team VARCHAR2, home_team VARCHAR2, tie_no VARCHAR2, attendance VARCHAR2)
| Which Away team has a Tie # of replay, and an Attendance of 24 november 1998, and a Home team of rotherham united? | SELECT away_team FROM table_name_51 WHERE tie_no = "replay" AND attendance = "24 november 1998" AND home_team = "rotherham united" | SELECT "away_team" FROM "table_name_51" WHERE "24 november 1998" = "attendance" AND "home_team" = "rotherham united" AND "replay" = "tie_no" | 0.136719 |
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime 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 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 inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE 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 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_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto 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 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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
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)
| how many days has passed since the last time patient 739 on the current intensive care unit visit took a .9% normal saline intake? | SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', inputevents_cv.charttime)) 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 = 739) AND icustays.outtime IS NULL) AND inputevents_cv.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = '.9% normal saline' AND d_items.linksto = 'inputevents_cv') ORDER BY inputevents_cv.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 739 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 "icustays"."outtime" IS NULL AND NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = '.9% normal saline' AND "d_items"."linksto" = 'inputevents_cv' GROUP BY "itemid") SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "inputevents_cv"."charttime")) FROM "inputevents_cv" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "inputevents_cv"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "inputevents_cv"."itemid" WHERE NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL ORDER BY "inputevents_cv"."charttime" DESC FETCH FIRST 1 ROWS ONLY | 0.833008 |
CREATE TABLE table_52165 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| Who was Richmond's away team opponent? | SELECT "Away team" FROM table_52165 WHERE "Home team" = 'richmond' | SELECT "Away team" FROM "table_52165" WHERE "Home team" = 'richmond' | 0.066406 |
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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE 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 ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE 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 PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE 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 Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
| Quantity of Questions Tagged With Specific Christian 'Branches of Faith'. 'Denominations' only apply within Protestantism, although they are primarily what is represented within this query. However, since Eastern Orthodoxy and Roman Catholicism are included, I went with 'branches of faith'. | SELECT COUNT(p.Id) AS "#" FROM Posts AS p WHERE p.PostTypeId = 1 AND P.ClosedDate IS NULL AND p.CreationDate > DATEADD(Month, -12, DATEADD(dd, DATEDIFF(dd, 0, GETDATE()), 0)) | SELECT COUNT("p"."Id") AS "#" FROM "Posts" "p" WHERE "P"."ClosedDate" IS NULL AND "p"."CreationDate" > DATEADD("Month", -12, DATEADD("dd", DATEDIFF(CAST("dd" AS DATETIME), CAST(0 AS DATETIME), GETDATE()), 0)) AND "p"."PostTypeId" = 1 | 0.227539 |
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE 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 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 flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE code_description (code VARCHAR2, description 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 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 food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description 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 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 compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE month (month_number NUMBER, month_name 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)
| what is the earliest UA flight flying from DENVER to BALTIMORE and arriving on 7 4 | 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 = 'BALTIMORE' AND date_day.day_number = 4 AND date_day.month_number = 7 AND date_day.year = 1991 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) AND flight.airline_code = 'UA') AND flight.departure_time = (SELECT MIN(FLIGHTalias1.departure_time) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, date_day AS DATE_DAYalias1, days AS DAYSalias1, flight AS FLIGHTalias1 WHERE ((CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'BALTIMORE' AND DATE_DAYalias1.day_number = 4 AND DATE_DAYalias1.month_number = 7 AND DATE_DAYalias1.year = 1991 AND DAYSalias1.day_name = DATE_DAYalias1.day_name AND FLIGHTalias1.flight_days = DAYSalias1.days_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) AND CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'DENVER' AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code) AND FLIGHTalias1.airline_code = 'UA') | WITH "_u_0" AS (SELECT MIN("FLIGHTalias1"."departure_time") FROM "airport_service" "AIRPORT_SERVICEalias2" JOIN "date_day" "DATE_DAYalias1" ON "DATE_DAYalias1"."day_number" = 4 AND "DATE_DAYalias1"."month_number" = 7 AND "DATE_DAYalias1"."year" = 1991 JOIN "city" "CITYalias2" ON "AIRPORT_SERVICEalias2"."city_code" = "CITYalias2"."city_code" AND "CITYalias2"."city_name" = 'DENVER' JOIN "days" "DAYSalias1" ON "DATE_DAYalias1"."day_name" = "DAYSalias1"."day_name" JOIN "flight" "FLIGHTalias1" ON "AIRPORT_SERVICEalias2"."airport_code" = "FLIGHTalias1"."from_airport" AND "DAYSalias1"."days_code" = "FLIGHTalias1"."flight_days" AND "FLIGHTalias1"."airline_code" = 'UA' JOIN "airport_service" "AIRPORT_SERVICEalias3" ON "AIRPORT_SERVICEalias3"."airport_code" = "FLIGHTalias1"."to_airport" JOIN "city" "CITYalias3" ON "AIRPORT_SERVICEalias3"."city_code" = "CITYalias3"."city_code" AND "CITYalias3"."city_name" = 'BALTIMORE') SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 4 AND "date_day"."month_number" = 7 AND "date_day"."year" = 1991 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" AND "flight"."airline_code" = 'UA' JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "_u_0" "_u_0" ON "_u_0"."" = "flight"."departure_time" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'BALTIMORE' | 1.6875 |
CREATE TABLE table_dev_29 ("id" NUMBER, "gender" CLOB, "white_blood_cell_count_wbc" NUMBER, "systolic_blood_pressure_sbp" NUMBER, "hemoglobin_a1c_hba1c" FLOAT, "renal_disease" BOOLEAN, "creatinine_clearance_cl" FLOAT, "post_load_glucose" NUMBER, "platelet_count" FLOAT, "fasting_plasma_glucose" NUMBER, "diastolic_blood_pressure_dbp" NUMBER, "urine_protein" NUMBER, "serum_creatinine" FLOAT, "proteinuria" NUMBER, "baseline_hemoglobin_hgb" FLOAT, "NOUSE" FLOAT)
| white blood count < 3000 ; platelet count < 100000 , and baseline hemoglobin < 10 g / dl | SELECT * FROM table_dev_29 WHERE white_blood_cell_count_wbc < 3000 AND platelet_count < 100000 AND baseline_hemoglobin_hgb < 10 | SELECT * FROM "table_dev_29" WHERE "baseline_hemoglobin_hgb" < 10 AND "platelet_count" < 100000 AND "white_blood_cell_count_wbc" < 3000 | 0.131836 |
CREATE TABLE table_78501 ("Outcome" CLOB, "Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Partner" CLOB, "Opponent in Final" CLOB, "Score in Final" CLOB)
| Name the outcome that had an opponent in final of nina bratchikova kathrin w rle | SELECT "Outcome" FROM table_78501 WHERE "Opponent in Final" = 'nina bratchikova kathrin wörle' | SELECT "Outcome" FROM "table_78501" WHERE "Opponent in Final" = 'nina bratchikova kathrin wörle' | 0.09375 |
CREATE TABLE table_name_5 (home VARCHAR2, aggregate VARCHAR2)
| Tell me the home of 2-3 | SELECT home FROM table_name_5 WHERE aggregate = "2-3" | SELECT "home" FROM "table_name_5" WHERE "2-3" = "aggregate" | 0.057617 |
CREATE TABLE table_13012165_1 (maryland VARCHAR2, pennsylvania VARCHAR2)
| Who played in Maryland the same year that Deep Run Valley LL Hilltown played in Pennsylvania? | SELECT maryland FROM table_13012165_1 WHERE pennsylvania = "Deep Run Valley LL Hilltown" | SELECT "maryland" FROM "table_13012165_1" WHERE "Deep Run Valley LL Hilltown" = "pennsylvania" | 0.091797 |
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time 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 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 food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description 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 state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE days (days_code VARCHAR2, day_name 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 airline (airline_code VARCHAR2, airline_name CLOB, note 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 flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
| what flights from KANSAS CITY to CHICAGO arrive at CHICAGO at 1900 next wednesday | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE ((((((flight.arrival_time < 41 OR flight.time_elapsed >= 60) AND flight.departure_time > flight.arrival_time) AND date_day.day_number = 23 AND date_day.month_number = 4 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code) OR (date_day.day_number = 23 AND date_day.month_number = 4 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND NOT ((flight.arrival_time < 41 OR flight.time_elapsed >= 60) AND flight.departure_time > flight.arrival_time))) AND flight.arrival_time = 1900) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'CHICAGO' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'KANSAS CITY' 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" = 4 AND "date_day"."year" = 1991 JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'KANSAS CITY' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" AND "flight"."arrival_time" = 1900 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" = 'CHICAGO' | 0.731445 |
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE area (course_id NUMBER, area 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 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 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 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 program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip 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)
| Will PEDDENT 594 be offered in the Summer of 2002 ? | SELECT COUNT(*) > 0 FROM course, course_offering, semester WHERE course.course_id = course_offering.course_id AND course.department = 'PEDDENT' AND course.number = 594 AND semester.semester = 'Summer' AND semester.semester_id = course_offering.semester AND semester.year = 2002 | SELECT COUNT(*) > 0 FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'Summer' AND "semester"."year" = 2002 WHERE "course"."department" = 'PEDDENT' AND "course"."number" = 594 | 0.313477 |
CREATE TABLE schedule (Cinema_ID NUMBER, Film_ID NUMBER, Date CLOB, Show_times_per_day NUMBER, Price FLOAT)
CREATE TABLE cinema (Cinema_ID NUMBER, Name CLOB, Openning_year NUMBER, Capacity NUMBER, Location CLOB)
CREATE TABLE film (Film_ID NUMBER, Rank_in_series NUMBER, Number_in_season NUMBER, Title CLOB, Directed_by CLOB, Original_air_date CLOB, Production_code CLOB)
| Show me the average of capacity by openning year in a histogram, and order Openning_year from high to low order. | SELECT Openning_year, AVG(Capacity) FROM cinema GROUP BY Openning_year ORDER BY Openning_year DESC | SELECT "Openning_year", AVG("Capacity") FROM "cinema" GROUP BY "Openning_year" ORDER BY "Openning_year" DESC | 0.105469 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid 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)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| what is the number of patients admitted before 2164 who had wbc lab test? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2164" AND lab.label = "WBC" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "WBC" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2164" > "demographic"."admityear" | 0.186523 |
CREATE TABLE table_47817 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" FLOAT)
| What is the attendance of week 12? | SELECT MIN("Attendance") FROM table_47817 WHERE "Week" = '12' | SELECT MIN("Attendance") FROM "table_47817" WHERE "Week" = '12' | 0.061523 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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 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)
| what is minimum age of patients whose gender is f and age is greater than or equal to 31? | SELECT MIN(demographic.age) FROM demographic WHERE demographic.gender = "F" AND demographic.age >= "31" | SELECT MIN("demographic"."age") FROM "demographic" WHERE "31" <= "demographic"."age" AND "F" = "demographic"."gender" | 0.114258 |
CREATE TABLE table_74920 ("Race" CLOB, "Class ( es ) " CLOB, "Length/Duration" CLOB, "Circuit" CLOB, "Date" CLOB)
| What was the date of the race that lasted 6 hours? | SELECT "Date" FROM table_74920 WHERE "Length/Duration" = '6 hours' | SELECT "Date" FROM "table_74920" WHERE "Length/Duration" = '6 hours' | 0.066406 |
CREATE TABLE table_64396 ("Tie no" CLOB, "Home team" CLOB, "Score" CLOB, "Away team" CLOB, "Attendance" CLOB)
| What is the away team at the game with a Tie no of 2? | SELECT "Away team" FROM table_64396 WHERE "Tie no" = '2' | SELECT "Away team" FROM "table_64396" WHERE "Tie no" = '2' | 0.056641 |
CREATE TABLE domain_conference (cid NUMBER, did NUMBER)
CREATE TABLE publication_keyword (kid NUMBER, pid NUMBER)
CREATE TABLE organization (continent VARCHAR2, homepage VARCHAR2, name VARCHAR2, oid NUMBER)
CREATE TABLE domain_publication (did NUMBER, pid NUMBER)
CREATE TABLE domain (did NUMBER, name VARCHAR2)
CREATE TABLE publication (abstract VARCHAR2, cid NUMBER, citation_num NUMBER, jid NUMBER, pid NUMBER, reference_num NUMBER, title VARCHAR2, year NUMBER)
CREATE TABLE author (aid NUMBER, homepage VARCHAR2, name VARCHAR2, oid NUMBER)
CREATE TABLE domain_keyword (did NUMBER, kid NUMBER)
CREATE TABLE conference (cid NUMBER, homepage VARCHAR2, name VARCHAR2)
CREATE TABLE domain_journal (did NUMBER, jid NUMBER)
CREATE TABLE keyword (keyword VARCHAR2, kid NUMBER)
CREATE TABLE writes (aid NUMBER, pid NUMBER)
CREATE TABLE domain_author (aid NUMBER, did NUMBER)
CREATE TABLE cite (cited NUMBER, citing NUMBER)
CREATE TABLE journal (homepage VARCHAR2, jid NUMBER, name VARCHAR2)
| return me the number of papers in VLDB conference containing keyword ' Information Retrieval ' . | SELECT COUNT(DISTINCT (publication.title)) FROM conference, keyword, publication, publication_keyword WHERE conference.name = 'VLDB' AND keyword.keyword = 'Information Retrieval' AND publication_keyword.kid = keyword.kid AND publication.cid = conference.cid AND publication.pid = publication_keyword.pid | SELECT COUNT(DISTINCT "publication"."title") FROM "conference" JOIN "publication" ON "conference"."cid" = "publication"."cid" JOIN "publication_keyword" ON "publication"."pid" = "publication_keyword"."pid" JOIN "keyword" ON "keyword"."keyword" = 'Information Retrieval' AND "keyword"."kid" = "publication_keyword"."kid" WHERE "conference"."name" = 'VLDB' | 0.345703 |
CREATE TABLE table_name_98 (surface VARCHAR2, semifinalists VARCHAR2)
| Which Surface has a Semifinalist of stefan edberg thomas muster? | SELECT surface FROM table_name_98 WHERE semifinalists = "stefan edberg thomas muster" | SELECT "surface" FROM "table_name_98" WHERE "semifinalists" = "stefan edberg thomas muster" | 0.088867 |
CREATE TABLE table_name_52 (icao VARCHAR2, airport VARCHAR2)
| What is the ICAO for the Yangon International Airport? | SELECT icao FROM table_name_52 WHERE airport = "yangon international airport" | SELECT "icao" FROM "table_name_52" WHERE "airport" = "yangon international airport" | 0.081055 |
CREATE TABLE table_26359 ("Team" CLOB, "Location" CLOB, "Home Ground" CLOB, "First year in Qld Cup" FLOAT, "Last year in Qld Cup" FLOAT, "Qld Cup Premierships" CLOB)
| How many values of last year in QLD Cup if QLD Cup Premierships is 1996, 2001? | SELECT COUNT("Last year in Qld Cup") FROM table_26359 WHERE "Qld Cup Premierships" = '1996, 2001' | SELECT COUNT("Last year in Qld Cup") FROM "table_26359" WHERE "Qld Cup Premierships" = '1996, 2001' | 0.09668 |
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 Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId 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 VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description 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 PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress 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 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 PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
| close reason for closed postes over votes. | SELECT DISTINCT ph.PostId, ph.Comment AS reason, 'text' AS voters FROM PostHistory AS ph WHERE ph.PostHistoryTypeId = 10 | SELECT DISTINCT "ph"."PostId", "ph"."Comment" AS "reason", 'text' AS "voters" FROM "PostHistory" "ph" WHERE "ph"."PostHistoryTypeId" = 10 | 0.133789 |
CREATE TABLE table_77997 ("Round" CLOB, "Date" CLOB, "Opponent" CLOB, "Venue" CLOB, "Result" CLOB)
| What is the Round with a Opponent with blackburn? | SELECT "Round" FROM table_77997 WHERE "Opponent" = 'blackburn' | SELECT "Round" FROM "table_77997" WHERE "Opponent" = 'blackburn' | 0.0625 |
CREATE TABLE customer_contact_channels (customer_id NUMBER, channel_code CLOB, active_from_date TIME, active_to_date TIME, contact_number CLOB)
CREATE TABLE addresses (address_id NUMBER, address_content CLOB, city CLOB, zip_postcode CLOB, state_province_county CLOB, country CLOB, other_address_details CLOB)
CREATE TABLE customers (customer_id NUMBER, payment_method CLOB, customer_name CLOB, date_became_customer TIME, other_customer_details CLOB)
CREATE TABLE order_items (order_id NUMBER, product_id NUMBER, order_quantity CLOB)
CREATE TABLE customer_addresses (customer_id NUMBER, address_id NUMBER, date_address_from TIME, address_type CLOB, date_address_to TIME)
CREATE TABLE customer_orders (order_id NUMBER, customer_id NUMBER, order_status CLOB, order_date TIME, order_details CLOB)
CREATE TABLE products (product_id NUMBER, product_details CLOB)
| What are the names of all the customers? | SELECT customer_name FROM customers | SELECT "customer_name" FROM "customers" | 0.038086 |
CREATE TABLE table_name_93 (killed NUMBER, perpetrator VARCHAR2)
| What is the lowest Killed, when Perpetrator is 'Sherrill, Patrick Henry , 44'? | SELECT MIN(killed) FROM table_name_93 WHERE perpetrator = "sherrill, patrick henry , 44" | SELECT MIN("killed") FROM "table_name_93" WHERE "perpetrator" = "sherrill, patrick henry , 44" | 0.091797 |
CREATE TABLE table_6101 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Attendance" FLOAT, "Record" CLOB)
| What team did the home team play on September 4? | SELECT "Opponent" FROM table_6101 WHERE "Date" = 'september 4' | SELECT "Opponent" FROM "table_6101" WHERE "Date" = 'september 4' | 0.0625 |
CREATE TABLE table_2518 ("Year" CLOB, "Date" CLOB, "Driver" CLOB, "Team" CLOB, "Manufacturer" CLOB, "Laps" CLOB, "Miles ( km ) " CLOB, "Race Time" CLOB, "Average Speed ( mph ) " CLOB, "Report" CLOB)
| What was the average speed for a racetime of 3:08:08? | SELECT "Average Speed (mph)" FROM table_2518 WHERE "Race Time" = '3:08:08' | SELECT "Average Speed (mph)" FROM "table_2518" WHERE "Race Time" = '3:08:08' | 0.074219 |
CREATE TABLE table_2357201_1 (division NUMBER)
| What is the lowest numbered division Cleveland played in? | SELECT MIN(division) FROM table_2357201_1 | SELECT MIN("division") FROM "table_2357201_1" | 0.043945 |
CREATE TABLE table_name_46 (enrollment NUMBER, location VARCHAR2)
| What is the lowest enrollment that has Lafayette as the location? | SELECT MIN(enrollment) FROM table_name_46 WHERE location = "lafayette" | SELECT MIN("enrollment") FROM "table_name_46" WHERE "lafayette" = "location" | 0.074219 |
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 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)
| what is the number of patients whose gender is f and drug name is tacrolimus? | 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 = "Tacrolimus" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Tacrolimus" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "F" = "demographic"."gender" | 0.21582 |
CREATE TABLE table_15702 ("Place" FLOAT, "Team" CLOB, "Played" FLOAT, "Draw" FLOAT, "Lost" FLOAT, "Goals Scored" FLOAT, "Goals Conceded" FLOAT, "Points" FLOAT)
| What was the total number of places in which the draw was less than 4 and the amount lost was less than 6? | SELECT COUNT("Place") FROM table_15702 WHERE "Draw" < '4' AND "Lost" < '6' | SELECT COUNT("Place") FROM "table_15702" WHERE "Draw" < '4' AND "Lost" < '6' | 0.074219 |
CREATE TABLE table_name_70 (date VARCHAR2, score VARCHAR2)
| On which date was the score 94-74 w? | SELECT date FROM table_name_70 WHERE score = "94-74 w" | SELECT "date" FROM "table_name_70" WHERE "94-74 w" = "score" | 0.058594 |
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE 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 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 PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
| Top Users - Country/ Tag. | SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS "#", u.Id AS "user_link", u.Reputation, COUNT(p.Id) FROM Users AS u INNER JOIN Posts AS p ON p.OwnerUserId = u.Id INNER JOIN PostTags AS pt ON pt.PostId = p.Id INNER JOIN Tags AS t ON t.Id = pt.TagId WHERE LOWER(Location) LIKE LOWER('%##countryname##%') AND t.TagName = '##tagname##' GROUP BY u.Reputation, u.Id ORDER BY Reputation DESC | SELECT ROW_NUMBER() OVER (ORDER BY "Reputation" DESC) AS "#", "u"."Id" AS "user_link", "u"."Reputation", COUNT("p"."Id") FROM "Users" "u" JOIN "Posts" "p" ON "p"."OwnerUserId" = "u"."Id" JOIN "PostTags" "pt" ON "p"."Id" = "pt"."PostId" JOIN "Tags" "t" ON "pt"."TagId" = "t"."Id" AND "t"."TagName" = '##tagname##' WHERE LOWER("Location") LIKE LOWER('%##countryname##%') GROUP BY "u"."Reputation", "u"."Id" ORDER BY "Reputation" DESC | 0.420898 |
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress 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 ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE 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 PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE 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 PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
| How many questions got reopened in the last two months?. | SELECT COUNT(PostId) FROM PostHistory WHERE PostHistoryTypeId = 11 AND DATEDIFF(day, CreationDate, GETDATE()) < 60 | SELECT COUNT("PostId") FROM "PostHistory" WHERE "PostHistoryTypeId" = 11 AND DATEDIFF(CAST("day" AS DATETIME), CAST("CreationDate" AS DATETIME), GETDATE()) < 60 | 0.15625 |
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 demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
| what is days of hospital stay and discharge time of subject id 9575? | SELECT demographic.days_stay, demographic.dischtime FROM demographic WHERE demographic.subject_id = "9575" | SELECT "demographic"."days_stay", "demographic"."dischtime" FROM "demographic" WHERE "9575" = "demographic"."subject_id" | 0.117188 |
CREATE TABLE table_name_41 (date VARCHAR2, opponent VARCHAR2)
| what is the date when the opponent is real espa a? | SELECT date FROM table_name_41 WHERE opponent = "real españa" | SELECT "date" FROM "table_name_41" WHERE "opponent" = "real españa" | 0.06543 |
CREATE TABLE table_name_99 (record VARCHAR2, opponent VARCHAR2)
| What Record has an Opponent of vs washington wizards? | SELECT record FROM table_name_99 WHERE opponent = "vs washington wizards" | SELECT "record" FROM "table_name_99" WHERE "opponent" = "vs washington wizards" | 0.077148 |
CREATE TABLE country (country_id VARCHAR2, country VARCHAR2)
CREATE TABLE city (country_id VARCHAR2)
| How many cities are in Australia? | SELECT COUNT(*) FROM city AS T1 JOIN country AS T2 ON T1.country_id = T2.country_id WHERE T2.country = 'Australia' | SELECT COUNT(*) FROM "city" "T1" JOIN "country" "T2" ON "T1"."country_id" = "T2"."country_id" AND "T2"."country" = 'Australia' | 0.123047 |
CREATE TABLE table_17401 ("Metropolitan Area" CLOB, "Media Market Ranking" FLOAT, "Hosted 4 teams since" FLOAT, "NFL Team ( s ) " CLOB, "MLB Team ( s ) " CLOB, "NBA Team ( s ) " CLOB, "NHL Team ( s ) " CLOB)
| What is the NHL team in the media market ranking number 7? | SELECT "NHL Team(s)" FROM table_17401 WHERE "Media Market Ranking" = '7' | SELECT "NHL Team(s)" FROM "table_17401" WHERE "Media Market Ranking" = '7' | 0.072266 |
CREATE TABLE table_11236195_2 (losingteam VARCHAR2, score VARCHAR2)
| Which losing team had a score of 24-12? | SELECT losingteam FROM table_11236195_2 WHERE score = "24-12" | SELECT "losingteam" FROM "table_11236195_2" WHERE "24-12" = "score" | 0.06543 |
CREATE TABLE table_23142 ("County" CLOB, "Starky #" FLOAT, "Starky %" CLOB, "Hancock #" FLOAT, "Hancock %" CLOB, "McCain #" FLOAT, "McCain %" CLOB, "Total" FLOAT)
| How many times was country considered when starky % was 20.96% | SELECT COUNT("County") FROM table_23142 WHERE "Starky %" = '20.96%' | SELECT COUNT("County") FROM "table_23142" WHERE "Starky %" = '20.96%' | 0.067383 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
| give me the number of patients whose discharge location is home and primary disease is ventricular tachycardia? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.discharge_location = "HOME" AND demographic.diagnosis = "VENTRICULAR TACHYCARDIA" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "HOME" = "demographic"."discharge_location" AND "VENTRICULAR TACHYCARDIA" = "demographic"."diagnosis" | 0.171875 |
CREATE TABLE table_22313 ("No." FLOAT, "#" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Canadian air date" CLOB, "U.S. air date" CLOB, "Production code" FLOAT, "Canadian viewers ( million ) " CLOB)
| Who directed the episode with a production code of 301? | SELECT "Directed by" FROM table_22313 WHERE "Production code" = '301' | SELECT "Directed by" FROM "table_22313" WHERE "Production code" = '301' | 0.069336 |
CREATE TABLE Products (product_id NUMBER, parent_product_id NUMBER, product_category_code VARCHAR2, date_product_first_available DATETIME, date_product_discontinued DATETIME, product_name VARCHAR2, product_description VARCHAR2, product_price NUMBER)
CREATE TABLE Complaints (complaint_id NUMBER, product_id NUMBER, customer_id NUMBER, complaint_outcome_code VARCHAR2, complaint_status_code VARCHAR2, complaint_type_code VARCHAR2, date_complaint_raised DATETIME, date_complaint_closed DATETIME, staff_id NUMBER)
CREATE TABLE Staff (staff_id NUMBER, gender VARCHAR2, first_name VARCHAR2, last_name VARCHAR2, email_address VARCHAR2, phone_number VARCHAR2)
CREATE TABLE Customers (customer_id NUMBER, customer_type_code VARCHAR2, address_line_1 VARCHAR2, address_line_2 VARCHAR2, town_city VARCHAR2, state VARCHAR2, email_address VARCHAR2, phone_number VARCHAR2)
| what are all the different product names, and how many complains has each received?, and order from high to low by the Y please. | SELECT product_name, COUNT(*) FROM Products AS t1 JOIN Complaints AS t2 ON t1.product_id = t2.product_id GROUP BY t1.product_name ORDER BY COUNT(*) DESC | SELECT "product_name", COUNT(*) FROM "Products" "t1" JOIN "Complaints" "t2" ON "t1"."product_id" = "t2"."product_id" GROUP BY "t1"."product_name" ORDER BY COUNT(*) DESC | 0.164063 |
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req 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 semester (semester_id NUMBER, semester VARCHAR2, year 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 offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_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 comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text 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 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 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 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 requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
| At the upper level , what number of classes are there that have labs ? | SELECT COUNT(DISTINCT course.course_id) FROM course INNER JOIN program_course ON program_course.course_id = course.course_id WHERE course.has_lab = 'Y' AND program_course.category LIKE '%ULCS%' | SELECT COUNT(DISTINCT "course"."course_id") FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%ULCS%' WHERE "course"."has_lab" = 'Y' | 0.206055 |
CREATE TABLE student (ID VARCHAR2, name VARCHAR2, dept_name VARCHAR2, tot_cred NUMBER)
CREATE TABLE teaches (ID VARCHAR2, course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER)
CREATE TABLE classroom (building VARCHAR2, room_number VARCHAR2, capacity NUMBER)
CREATE TABLE instructor (ID VARCHAR2, name VARCHAR2, dept_name VARCHAR2, salary NUMBER)
CREATE TABLE course (course_id VARCHAR2, title VARCHAR2, dept_name VARCHAR2, credits NUMBER)
CREATE TABLE time_slot (time_slot_id VARCHAR2, day VARCHAR2, start_hr NUMBER, start_min NUMBER, end_hr NUMBER, end_min NUMBER)
CREATE TABLE prereq (course_id VARCHAR2, prereq_id VARCHAR2)
CREATE TABLE section (course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER, building VARCHAR2, room_number VARCHAR2, time_slot_id VARCHAR2)
CREATE TABLE takes (ID VARCHAR2, course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER, grade VARCHAR2)
CREATE TABLE advisor (s_ID VARCHAR2, i_ID VARCHAR2)
CREATE TABLE department (dept_name VARCHAR2, building VARCHAR2, budget NUMBER)
| Draw a bar chart about the distribution of dept_name and the average of salary , and group by attribute dept_name. | SELECT dept_name, AVG(salary) FROM instructor GROUP BY dept_name ORDER BY salary | SELECT "dept_name", AVG("salary") FROM "instructor" GROUP BY "dept_name" ORDER BY "salary" | 0.087891 |
CREATE TABLE Staff (Staff_ID NUMBER, Tourist_Attraction_ID NUMBER, Name VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Tourist_Attraction_Features (Tourist_Attraction_ID NUMBER, Feature_ID NUMBER)
CREATE TABLE Street_Markets (Market_ID NUMBER, Market_Details VARCHAR2)
CREATE TABLE Photos (Photo_ID NUMBER, Tourist_Attraction_ID NUMBER, Name VARCHAR2, Description VARCHAR2, Filename VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Shops (Shop_ID NUMBER, Shop_Details VARCHAR2)
CREATE TABLE Hotels (hotel_id NUMBER, star_rating_code CHAR, pets_allowed_yn CHAR, price_range FLOAT, other_hotel_details VARCHAR2)
CREATE TABLE Visitors (Tourist_ID NUMBER, Tourist_Details VARCHAR2)
CREATE TABLE Features (Feature_ID NUMBER, Feature_Details VARCHAR2)
CREATE TABLE Theme_Parks (Theme_Park_ID NUMBER, Theme_Park_Details VARCHAR2)
CREATE TABLE Visits (Visit_ID NUMBER, Tourist_Attraction_ID NUMBER, Tourist_ID NUMBER, Visit_Date DATETIME, Visit_Details VARCHAR2)
CREATE TABLE Locations (Location_ID NUMBER, Location_Name VARCHAR2, Address VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Museums (Museum_ID NUMBER, Museum_Details VARCHAR2)
CREATE TABLE Tourist_Attractions (Tourist_Attraction_ID NUMBER, Attraction_Type_Code CHAR, Location_ID NUMBER, How_to_Get_There VARCHAR2, Name VARCHAR2, Description VARCHAR2, Opening_Hours VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Ref_Hotel_Star_Ratings (star_rating_code CHAR, star_rating_description VARCHAR2)
CREATE TABLE Ref_Attraction_Types (Attraction_Type_Code CHAR, Attraction_Type_Description VARCHAR2)
CREATE TABLE Royal_Family (Royal_Family_ID NUMBER, Royal_Family_Details VARCHAR2)
| Show different ways to get to attractions and the number of attractions that can be accessed in the corresponding way Plot them as bar chart, and display from low to high by the X-axis. | SELECT How_to_Get_There, COUNT(*) FROM Tourist_Attractions GROUP BY How_to_Get_There ORDER BY How_to_Get_There | SELECT "How_to_Get_There", COUNT(*) FROM "Tourist_Attractions" GROUP BY "How_to_Get_There" ORDER BY "How_to_Get_There" | 0.115234 |
CREATE TABLE table_40946 ("Name" CLOB, "Position" CLOB, "Number" FLOAT, "School/Club Team" CLOB, "Season" CLOB, "Acquisition via" CLOB)
| Which acquisition via has a position of forward and is on the state school or club? | SELECT "Acquisition via" FROM table_40946 WHERE "Position" = 'forward' AND "School/Club Team" = 'state' | SELECT "Acquisition via" FROM "table_40946" WHERE "Position" = 'forward' AND "School/Club Team" = 'state' | 0.102539 |
CREATE TABLE actor (Actor_ID NUMBER, Name CLOB, Musical_ID NUMBER, Character CLOB, Duration CLOB, age NUMBER)
CREATE TABLE musical (Musical_ID NUMBER, Name CLOB, Year NUMBER, Award CLOB, Category CLOB, Nominee CLOB, Result CLOB)
| How many actors have appeared in each musical Plot them as bar chart, and rank from high to low by the x axis. | SELECT T2.Name, COUNT(*) FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID GROUP BY T1.Musical_ID ORDER BY T2.Name DESC | SELECT "T2"."Name", COUNT(*) FROM "actor" "T1" JOIN "musical" "T2" ON "T1"."Musical_ID" = "T2"."Musical_ID" GROUP BY "T1"."Musical_ID" ORDER BY "T2"."Name" DESC | 0.15625 |
CREATE TABLE table_15741 ("Discipline" CLOB, "2003 Cadiz" CLOB, "2007 Cascais" CLOB, "2011 Perth" CLOB, "2014 Santander" CLOB)
| WHich is 2014 Santander included 2011 Perth of 470? | SELECT "2014 Santander" FROM table_15741 WHERE "2011 Perth" = '470' | SELECT "2014 Santander" FROM "table_15741" WHERE "2011 Perth" = '470' | 0.067383 |
CREATE TABLE table_2562572_46 (population__2011_ NUMBER, cyrillic_name_other_names VARCHAR2)
| What was the population in 2011 of the settlement with the cyrillic name of ? | SELECT MAX(population__2011_) FROM table_2562572_46 WHERE cyrillic_name_other_names = "Ватин" | SELECT MAX("population__2011_") FROM "table_2562572_46" WHERE "cyrillic_name_other_names" = "Ватин" | 0.09668 |
CREATE TABLE voting_record (stuid NUMBER, registration_date CLOB, election_cycle CLOB, president_vote NUMBER, vice_president_vote NUMBER, secretary_vote NUMBER, treasurer_vote NUMBER, class_president_vote NUMBER, class_senator_vote NUMBER)
CREATE TABLE student (stuid NUMBER, lname CLOB, fname CLOB, age NUMBER, sex CLOB, major NUMBER, advisor NUMBER, city_code CLOB)
| Find the number of voting records in total. | SELECT COUNT(*) FROM voting_record | SELECT COUNT(*) FROM "voting_record" | 0.035156 |
CREATE TABLE table_65505 ("President" CLOB, "Schl. 1948" CLOB, "Schl. 1962" CLOB, "M-B 1982" CLOB, "CT 1982" CLOB, "Siena 1982" CLOB, "Siena 1990" CLOB, "Siena 1994" CLOB, "R-McI 1996" CLOB, "Schl. 1996" CLOB, "C-SPAN 1999" CLOB, "WSJ 2000" CLOB, "Siena 2002" CLOB, "WSJ 2005" CLOB, "Times 2008**" CLOB, "C-SPAN 2009" CLOB, "Siena 2010" CLOB, "USPC 2011" CLOB, "Aggr." CLOB)
| what is siena 2002 when the president is andrew jackson? | SELECT "Siena 2002" FROM table_65505 WHERE "President" = 'andrew jackson' | SELECT "Siena 2002" FROM "table_65505" WHERE "President" = 'andrew jackson' | 0.073242 |
CREATE TABLE table_203_720 (id NUMBER, "date" CLOB, "opponent#" CLOB, "rank#" CLOB, "site" CLOB, "result" CLOB)
| which is the only opponent to play in the louisiana superdome ? | SELECT "opponent#" FROM table_203_720 WHERE "site" = 'louisiana superdome • new orleans' | SELECT "opponent#" FROM "table_203_720" WHERE "site" = 'louisiana superdome • new orleans' | 0.087891 |
CREATE TABLE table_name_22 (birthplace VARCHAR2)
| What was the 1980-1981 team of the player born in Warroad, Minnesota? | SELECT 1980 AS _1981_team FROM table_name_22 WHERE birthplace = "warroad, minnesota" | SELECT 1980 AS "_1981_team" FROM "table_name_22" WHERE "birthplace" = "warroad, minnesota" | 0.087891 |
CREATE TABLE table_name_40 (top_5 VARCHAR2, top_25 VARCHAR2, cuts_made VARCHAR2)
| What is the total number of Top-5 when the Top-25 is 6, and a Cuts made are less than 12? | SELECT COUNT(top_5) FROM table_name_40 WHERE top_25 = 6 AND cuts_made < 12 | SELECT COUNT("top_5") FROM "table_name_40" WHERE "cuts_made" < 12 AND "top_25" = 6 | 0.080078 |
CREATE TABLE Transactions (transaction_id NUMBER, investor_id NUMBER, transaction_type_code VARCHAR2, date_of_transaction DATETIME, amount_of_transaction NUMBER, share_count VARCHAR2, other_details VARCHAR2)
CREATE TABLE Sales (sales_transaction_id NUMBER, sales_details VARCHAR2)
CREATE TABLE Ref_Transaction_Types (transaction_type_code VARCHAR2, transaction_type_description VARCHAR2)
CREATE TABLE Lots (lot_id NUMBER, investor_id NUMBER, lot_details VARCHAR2)
CREATE TABLE Purchases (purchase_transaction_id NUMBER, purchase_details VARCHAR2)
CREATE TABLE Investors (investor_id NUMBER, Investor_details VARCHAR2)
CREATE TABLE Transactions_Lots (transaction_id NUMBER, lot_id NUMBER)
| Return the lot details of lots that belong to investors with details 'l', and count them by a bar chart | SELECT lot_details, COUNT(lot_details) FROM Investors AS T1 JOIN Lots AS T2 ON T1.investor_id = T2.investor_id WHERE T1.Investor_details = "l" GROUP BY lot_details | SELECT "lot_details", COUNT("lot_details") FROM "Investors" "T1" JOIN "Lots" "T2" ON "T1"."investor_id" = "T2"."investor_id" WHERE "T1"."Investor_details" = "l" GROUP BY "lot_details" | 0.178711 |
CREATE TABLE table_name_44 (runners_up NUMBER, team VARCHAR2, winners VARCHAR2)
| When there are more than 1 winners and the team playing is pachuca, what's the lowest runners-up found? | SELECT MIN(runners_up) FROM table_name_44 WHERE team = "pachuca" AND winners > 1 | SELECT MIN("runners_up") FROM "table_name_44" WHERE "pachuca" = "team" AND "winners" > 1 | 0.085938 |
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
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 program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction 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 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 comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
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 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 ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_id 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 instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
| Are there any courses on UM Chemistry Program at Peking University , Beijing for 17 credits ? | SELECT DISTINCT department, name, number FROM course WHERE (description LIKE '%UM Chemistry Program at Peking University , Beijing%' OR name LIKE '%UM Chemistry Program at Peking University , Beijing%') AND credits = 17 | SELECT DISTINCT "department", "name", "number" FROM "course" WHERE "credits" = 17 AND ("description" LIKE '%UM Chemistry Program at Peking University , Beijing%' OR "name" LIKE '%UM Chemistry Program at Peking University , Beijing%') | 0.227539 |
CREATE TABLE table_27487310_5 (judges VARCHAR2, country VARCHAR2, air_dates VARCHAR2)
| Who are the judges in the Netherlands for the season airing 28 November 2011 24 December 2011? | SELECT judges FROM table_27487310_5 WHERE country = "Netherlands" AND air_dates = "28 November 2011 – 24 December 2011" | SELECT "judges" FROM "table_27487310_5" WHERE "28 November 2011 – 24 December 2011" = "air_dates" AND "Netherlands" = "country" | 0.124023 |
CREATE TABLE table_203_67 (id NUMBER, "place" NUMBER, "team" CLOB, "played" NUMBER, "won" NUMBER, "draw" NUMBER, "lost" NUMBER, "goals\ scored" NUMBER, "goals\ conceded" NUMBER, "+/-" NUMBER, "points" NUMBER)
| who was the top team of the apertura 2003 standings ? | SELECT "team" FROM table_203_67 ORDER BY "place" LIMIT 1 | SELECT "team" FROM "table_203_67" ORDER BY "place" FETCH FIRST 1 ROWS ONLY | 0.072266 |
CREATE TABLE table_18691 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" FLOAT, "Result" CLOB, "Candidates" CLOB)
| How many of the first elected were listed when Hatton W. Sumners was incumbent and re-elected? | SELECT COUNT("First elected") FROM table_18691 WHERE "Result" = 'Re-elected' AND "Incumbent" = 'Hatton W. Sumners' | SELECT COUNT("First elected") FROM "table_18691" WHERE "Incumbent" = 'Hatton W. Sumners' AND "Result" = 'Re-elected' | 0.113281 |
CREATE TABLE table_41334 ("Rider" CLOB, "Bike" CLOB, "Laps" FLOAT, "Time" CLOB, "Grid" FLOAT)
| How many laps had a time stat of accident for the rider carmelo morales when the grid was more than 25? | SELECT SUM("Laps") FROM table_41334 WHERE "Time" = 'accident' AND "Rider" = 'carmelo morales' AND "Grid" > '25' | SELECT SUM("Laps") FROM "table_41334" WHERE "Grid" > '25' AND "Rider" = 'carmelo morales' AND "Time" = 'accident' | 0.110352 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| How many of the christian scientist patients had a hyaline casts lab test? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.religion = "CHRISTIAN SCIENTIST" AND lab.label = "Hyaline Casts" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Hyaline Casts" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "CHRISTIAN SCIENTIST" = "demographic"."religion" | 0.209961 |
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 demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| give the number of patients under the age of 56 whose drug name is insulin human regular. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "56" AND prescriptions.drug = "Insulin Human Regular" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Insulin Human Regular" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "56" > "demographic"."age" | 0.224609 |
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 ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskResultTypes (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 PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE 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 PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE 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 PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTaskTypes (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 PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description 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 PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
| Most popular StackOverflow tags in April 2017. | SELECT num.TagName AS Tag, ROW_NUMBER() OVER (ORDER BY rate.Rate DESC) AS YearRank, ROW_NUMBER() OVER (ORDER BY num.Num DESC) AS TotalRank, rate.Rate AS QuestionsInYear, num.Num AS QuestionsTotal FROM (SELECT COUNT(PostId) AS Rate, TagName FROM Tags, PostTags, Posts WHERE Tags.Id = PostTags.TagId AND Posts.Id = PostId AND Posts.CreationDate < '2017-01-01' AND Posts.CreationDate >= '2016-01-01' GROUP BY TagName) AS rate INNER JOIN (SELECT COUNT(PostId) AS Num, TagName FROM Tags, PostTags, Posts WHERE Tags.Id = PostTags.TagId AND Posts.Id = PostId GROUP BY TagName HAVING COUNT(PostId) > 800) AS num ON rate.TagName = num.TagName ORDER BY rate.rate DESC | WITH "rate" AS (SELECT COUNT("PostId") AS "Rate", "TagName" FROM "Tags" JOIN "Posts" ON "PostId" = "Posts"."Id" AND "Posts"."CreationDate" < '2017-01-01' AND "Posts"."CreationDate" >= '2016-01-01' JOIN "PostTags" ON "PostTags"."TagId" = "Tags"."Id" GROUP BY "TagName"), "num" AS (SELECT COUNT("PostId") AS "Num", "TagName" FROM "Tags" JOIN "Posts" ON "PostId" = "Posts"."Id" JOIN "PostTags" ON "PostTags"."TagId" = "Tags"."Id" GROUP BY "TagName" HAVING COUNT("PostId") > 800) SELECT "num"."TagName" AS "Tag", ROW_NUMBER() OVER (ORDER BY "rate"."Rate" DESC) AS "YearRank", ROW_NUMBER() OVER (ORDER BY "num"."Num" DESC) AS "TotalRank", "rate"."Rate" AS "QuestionsInYear", "num"."Num" AS "QuestionsTotal" FROM "rate" "rate" JOIN "num" "num" ON "num"."TagName" = "rate"."TagName" ORDER BY "rate"."rate" DESC | 0.78418 |
CREATE TABLE table_62116 ("Outcome" CLOB, "Date" CLOB, "Championship" CLOB, "Surface" CLOB, "Opponent in the final" CLOB, "Score in the final" CLOB)
| What type of surface did they play on 21 July 1997 | SELECT "Surface" FROM table_62116 WHERE "Date" = '21 july 1997' | SELECT "Surface" FROM "table_62116" WHERE "Date" = '21 july 1997' | 0.063477 |
CREATE TABLE table_33737 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What was the average crowd size when teh home team scored 13.24 (102)? | SELECT AVG("Crowd") FROM table_33737 WHERE "Home team score" = '13.24 (102)' | SELECT AVG("Crowd") FROM "table_33737" WHERE "Home team score" = '13.24 (102)' | 0.076172 |
CREATE TABLE record (ID NUMBER, Result CLOB, Swimmer_ID NUMBER, Event_ID NUMBER)
CREATE TABLE swimmer (ID NUMBER, name CLOB, Nationality CLOB, meter_100 FLOAT, meter_200 CLOB, meter_300 CLOB, meter_400 CLOB, meter_500 CLOB, meter_600 CLOB, meter_700 CLOB, Time CLOB)
CREATE TABLE event (ID NUMBER, Name CLOB, Stadium_ID NUMBER, Year CLOB)
CREATE TABLE stadium (ID NUMBER, name CLOB, Capacity NUMBER, City CLOB, Country CLOB, Opening_year NUMBER)
| Return a bar chart about the distribution of name and meter_100 . | SELECT name, meter_100 FROM swimmer | SELECT "name", "meter_100" FROM "swimmer" | 0.040039 |
CREATE TABLE table_19246_1 (carrier VARCHAR2, frequency VARCHAR2, launch_date__ddmmyyyy_ VARCHAR2)
| When the launch date is 14.09.2005, and the frequency is 900mhz and 1800mhz, how many carriers are there? | SELECT COUNT(carrier) FROM table_19246_1 WHERE frequency = "900MHz and 1800MHz" AND launch_date__ddmmyyyy_ = "14.09.2005" | SELECT COUNT("carrier") FROM "table_19246_1" WHERE "14.09.2005" = "launch_date__ddmmyyyy_" AND "900MHz and 1800MHz" = "frequency" | 0.125977 |
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