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CREATE TABLE table_55849 ("Presidency" FLOAT, "President" CLOB, "Date of Birth" CLOB, "Took office" FLOAT, "Left office" CLOB)
| What is the Took Office Date of the Presidency that Left Office Incumbent? | SELECT SUM("Took office") FROM table_55849 WHERE "Left office" = 'incumbent' | SELECT SUM("Took office") FROM "table_55849" WHERE "Left office" = 'incumbent' | 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)
| mention the number of patients who have kclbase2 as their drug code. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.formulary_drug_cd = "KCLBASE2" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "KCLBASE2" = "prescriptions"."formulary_drug_cd" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.192383 |
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 prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many patients whose primary disease is st-segment elevation myocardial infarction\cardiac cath and drug route is im? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.diagnosis = "ST-SEGMENT ELEVATION MYOCARDIAL INFARCTION\CARDIAC CATH" AND prescriptions.route = "IM" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "IM" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "ST-SEGMENT ELEVATION MYOCARDIAL INFARCTION\CARDIAC CATH" = "demographic"."diagnosis" | 0.264648 |
CREATE TABLE table_27773 ("City/ municipality" CLOB, "Type" CLOB, "No. of Barangays" FLOAT, "Population ( 2010 ) " FLOAT, "Area ( km\\u00b2 ) " CLOB, "Pop. density ( per km\\u00b2 ) " FLOAT, "Income Class" CLOB, "Zip Code" FLOAT)
| What is the population density where area is 48.67? | SELECT COUNT("Pop. density (per km\u00b2)") FROM table_27773 WHERE "Area (km\u00b2)" = '48.67' | SELECT COUNT("Pop. density (per km\u00b2)") FROM "table_27773" WHERE "Area (km\u00b2)" = '48.67' | 0.09375 |
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE 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)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
| what were the five most commonly taken laboratory tests in a year before for patients aged 30s? | SELECT d_labitems.label FROM d_labitems WHERE d_labitems.itemid IN (SELECT t1.itemid FROM (SELECT labevents.itemid, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.age BETWEEN 30 AND 39) AND DATETIME(labevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY labevents.itemid) AS t1 WHERE t1.c1 <= 5) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."age" <= 39 AND "admissions"."age" >= 30 GROUP BY "hadm_id"), "t1" AS (SELECT "labevents"."itemid", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "labevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "labevents"."hadm_id" WHERE DATETIME("labevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_0"."" IS NULL GROUP BY "labevents"."itemid"), "_u_1" AS (SELECT "t1"."itemid" FROM "t1" "t1" WHERE "t1"."c1" <= 5 GROUP BY "itemid") SELECT "d_labitems"."label" FROM "d_labitems" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "d_labitems"."itemid" WHERE NOT "_u_1"."" IS NULL | 0.686523 |
CREATE TABLE ref_document_types (document_type_code CLOB, document_type_name CLOB, document_type_description CLOB)
CREATE TABLE accounts (account_id NUMBER, statement_id NUMBER, account_details CLOB)
CREATE TABLE documents_with_expenses (document_id NUMBER, budget_type_code CLOB, document_details CLOB)
CREATE TABLE statements (statement_id NUMBER, statement_details CLOB)
CREATE TABLE ref_budget_codes (budget_type_code CLOB, budget_type_description CLOB)
CREATE TABLE projects (project_id NUMBER, project_details CLOB)
CREATE TABLE documents (document_id NUMBER, document_type_code CLOB, project_id NUMBER, document_date TIME, document_name CLOB, document_description CLOB, other_details CLOB)
| How many documents are with document type code BK for each product id? | SELECT COUNT(*), project_id FROM documents WHERE document_type_code = "BK" GROUP BY project_id | SELECT COUNT(*), "project_id" FROM "documents" WHERE "BK" = "document_type_code" GROUP BY "project_id" | 0.099609 |
CREATE TABLE table_name_80 (total_goals VARCHAR2, total_apps VARCHAR2, league_goals VARCHAR2)
| How many total goals have 0 (3) as total apps, with league goals less than 0? | SELECT COUNT(total_goals) FROM table_name_80 WHERE total_apps = "0 (3)" AND league_goals < 0 | SELECT COUNT("total_goals") FROM "table_name_80" WHERE "0 (3)" = "total_apps" AND "league_goals" < 0 | 0.097656 |
CREATE TABLE table_61569 ("Opposing Teams" CLOB, "Against" FLOAT, "Date" CLOB, "Venue" CLOB, "Status" CLOB)
| What is the lowest Against, when Venue is 'Twickenham , London', when Status is 'Six Nations', and when Opposing Teams is 'France'? | SELECT MIN("Against") FROM table_61569 WHERE "Venue" = 'twickenham , london' AND "Status" = 'six nations' AND "Opposing Teams" = 'france' | SELECT MIN("Against") FROM "table_61569" WHERE "Opposing Teams" = 'france' AND "Status" = 'six nations' AND "Venue" = 'twickenham , london' | 0.135742 |
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
| Just list the name and price of its most expensive product in a bar chart, and show in ascending by the Y. | SELECT T1.Name, MAX(T1.Price) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name ORDER BY MAX(T1.Price) | SELECT "T1"."Name", MAX("T1"."Price") FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T1"."Name" ORDER BY MAX("T1"."Price") | 0.165039 |
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
| had .9% normal saline ever given to patient 8098 until 03/20/2104? | SELECT COUNT(*) > 0 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 = 8098)) 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') AND STRFTIME('%y-%m-%d', inputevents_cv.charttime) <= '2104-03-20' | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 8098 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = '.9% normal saline' AND "d_items"."linksto" = 'inputevents_cv' GROUP BY "itemid") SELECT COUNT(*) > 0 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 AND STRFTIME('%y-%m-%d', "inputevents_cv"."charttime") <= '2104-03-20' | 0.736328 |
CREATE TABLE table_name_2 (class VARCHAR2, call_sign VARCHAR2)
| Name the class with call sign of k220cp | SELECT class FROM table_name_2 WHERE call_sign = "k220cp" | SELECT "class" FROM "table_name_2" WHERE "call_sign" = "k220cp" | 0.061523 |
CREATE TABLE table_65592 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "Attendance" FLOAT)
| What is the total for the week in the game against the Chicago Bears | SELECT COUNT("Week") FROM table_65592 WHERE "Opponent" = 'chicago bears' | SELECT COUNT("Week") FROM "table_65592" WHERE "Opponent" = 'chicago bears' | 0.072266 |
CREATE TABLE table_7428 ("Player" CLOB, "FG Pct" FLOAT, "3FGM" FLOAT, "3FGA" FLOAT, "3FG Pct" FLOAT, "FT Pct" FLOAT, "Off Reb" FLOAT, "Def Reb" FLOAT, "Total Reb" FLOAT, "Asst" FLOAT)
| What is the highest FT pct of player abromaitis, who has a 3FG pct less than 12.5? | SELECT MAX("FT Pct") FROM table_7428 WHERE "Player" = 'abromaitis' AND "3FG Pct" < '12.5' | SELECT MAX("FT Pct") FROM "table_7428" WHERE "3FG Pct" < '12.5' AND "Player" = 'abromaitis' | 0.088867 |
CREATE TABLE Ship (Ship_ID NUMBER, Name CLOB, Type CLOB, Built_Year FLOAT, Class CLOB, Flag CLOB)
CREATE TABLE captain (Captain_ID NUMBER, Name CLOB, Ship_ID NUMBER, age CLOB, Class CLOB, Rank CLOB)
| How many captains with younger than 50 are in each rank. | SELECT Rank, COUNT(*) FROM captain WHERE age < 50 GROUP BY Rank | SELECT "Rank", COUNT(*) FROM "captain" WHERE "age" < 50 GROUP BY "Rank" | 0.069336 |
CREATE TABLE table_name_97 (alternate VARCHAR2, second VARCHAR2)
| What is the alternate of the nation with hubert gr ndhammer as the second? | SELECT alternate FROM table_name_97 WHERE second = "hubert gründhammer" | SELECT "alternate" FROM "table_name_97" WHERE "hubert gründhammer" = "second" | 0.075195 |
CREATE TABLE customers (customer_id NUMBER, customer_type_code CLOB, address_line_1 CLOB, address_line_2 CLOB, town_city CLOB, state CLOB, email_address CLOB, phone_number CLOB)
CREATE TABLE staff (staff_id NUMBER, gender CLOB, first_name CLOB, last_name CLOB, email_address CLOB, phone_number CLOB)
CREATE TABLE products (product_id NUMBER, parent_product_id NUMBER, product_category_code CLOB, date_product_first_available TIME, date_product_discontinued TIME, product_name CLOB, product_description CLOB, product_price NUMBER)
CREATE TABLE complaints (complaint_id NUMBER, product_id NUMBER, customer_id NUMBER, complaint_outcome_code CLOB, complaint_status_code CLOB, complaint_type_code CLOB, date_complaint_raised TIME, date_complaint_closed TIME, staff_id NUMBER)
| What is the phone number of the customer who has filed the most recent complaint? | SELECT t1.phone_number FROM customers AS t1 JOIN complaints AS t2 ON t1.customer_id = t2.customer_id ORDER BY t2.date_complaint_raised DESC LIMIT 1 | SELECT "t1"."phone_number" FROM "customers" "t1" JOIN "complaints" "t2" ON "t1"."customer_id" = "t2"."customer_id" ORDER BY "t2"."date_complaint_raised" DESC FETCH FIRST 1 ROWS ONLY | 0.176758 |
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)
| Tag associated with other tags. | SELECT MAX(t2.TagName) AS LeftTag, MAX(t.TagName) AS RightTag, COUNT(pt2.TagId) AS LeftCount, MAX(t.Count) AS RightCount, (CAST(COUNT(pt2.TagId) AS FLOAT) / CAST(MAX(t.Count) AS FLOAT)) AS Per FROM PostTags AS pt JOIN PostTags AS pt2 ON pt.PostId = pt2.PostId JOIN Tags AS t ON pt.TagId = t.Id JOIN Tags AS t2 ON pt2.TagId = t2.Id WHERE ('##LeftTag?all##' = 'all' OR t2.TagName = '##LeftTag##') AND ('##RightTag?all##' = 'all' OR t.TagName = '##RightTag##') AND t.Count >= '##TagCountFilter?10##' AND t2.Count >= '##TagCountFilter##' AND pt.TagId != pt2.TagId GROUP BY pt.TagId, pt2.TagId HAVING '##PerFilter?0##' <= 0 OR (CAST(COUNT(pt2.TagId) AS FLOAT) / CAST(MAX(t.Count) AS FLOAT)) > '##PerFilter##' ORDER BY Per DESC LIMIT 250 | SELECT MAX("t2"."TagName") AS "LeftTag", MAX("t"."TagName") AS "RightTag", COUNT("pt2"."TagId") AS "LeftCount", MAX("t"."Count") AS "RightCount", (CAST(COUNT("pt2"."TagId") AS FLOAT) / NULLIF(CAST(MAX("t"."Count") AS FLOAT), 0)) AS "Per" FROM "PostTags" "pt" JOIN "PostTags" "pt2" ON "pt"."PostId" = "pt2"."PostId" AND "pt"."TagId" <> "pt2"."TagId" JOIN "Tags" "t" ON "pt"."TagId" = "t"."Id" AND "t"."Count" >= '##TagCountFilter?10##' AND "t"."TagName" = '##RightTag##' JOIN "Tags" "t2" ON "pt2"."TagId" = "t2"."Id" AND "t2"."Count" >= '##TagCountFilter##' AND "t2"."TagName" = '##LeftTag##' GROUP BY "pt"."TagId", "pt2"."TagId" HAVING '##PerFilter?0##' <= 0 OR (CAST(COUNT("pt2"."TagId") AS FLOAT) / NULLIF(CAST(MAX("t"."Count") AS FLOAT), 0)) > '##PerFilter##' ORDER BY "Per" DESC FETCH FIRST 250 ROWS ONLY | 0.789063 |
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 comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
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_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 jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id 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 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)
| What upper level classes is 550 not mandatory for ? | SELECT DISTINCT COURSE_0.department, COURSE_0.name, COURSE_0.number FROM course AS COURSE_0, course AS COURSE_1, course_prerequisite, program_course WHERE NOT COURSE_1.course_id IN (SELECT course_prerequisite.pre_course_id FROM course AS COURSE_0, course_prerequisite WHERE COURSE_0.course_id = course_prerequisite.course_id) AND COURSE_1.department = 'EECS' AND COURSE_1.number = 550 AND PROGRAM_COURSE_0.category LIKE '%ULCS%' AND PROGRAM_COURSE_0.course_id = COURSE_0.course_id | WITH "_u_0" AS (SELECT "course_prerequisite"."pre_course_id" FROM "course" "COURSE_0" JOIN "course_prerequisite" ON "COURSE_0"."course_id" = "course_prerequisite"."course_id" GROUP BY "pre_course_id") SELECT DISTINCT "COURSE_0"."department", "COURSE_0"."name", "COURSE_0"."number" FROM "course" "COURSE_0" JOIN "course" "COURSE_1" ON "COURSE_1"."department" = 'EECS' AND "COURSE_1"."number" = 550 CROSS JOIN "course_prerequisite" CROSS JOIN "program_course" LEFT JOIN "_u_0" "_u_0" ON "COURSE_1"."course_id" = "_u_0"."" WHERE "COURSE_0"."course_id" = "PROGRAM_COURSE_0"."course_id" AND "PROGRAM_COURSE_0"."category" LIKE '%ULCS%' AND "_u_0"."" IS NULL | 0.635742 |
CREATE TABLE table_21100348_10 (innings VARCHAR2, average VARCHAR2)
| How man innings were there during the period with a career average of 41.43? | SELECT innings FROM table_21100348_10 WHERE average = "41.43" | SELECT "innings" FROM "table_21100348_10" WHERE "41.43" = "average" | 0.06543 |
CREATE TABLE table_204_362 (id NUMBER, "episode" NUMBER, "airdate" CLOB, "game 1" CLOB, "game 2" CLOB, "game 3" CLOB, "viewers" CLOB)
| on what date did the first episode of the whole 19 yards air ? | SELECT "airdate" FROM table_204_362 WHERE "episode" = 1 | SELECT "airdate" FROM "table_204_362" WHERE "episode" = 1 | 0.055664 |
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
| For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, visualize a bar chart about the distribution of hire_date and the amount of hire_date bin hire_date by time. | SELECT HIRE_DATE, COUNT(HIRE_DATE) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 | SELECT "HIRE_DATE", COUNT("HIRE_DATE") FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) | 0.207031 |
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
| how many hours has it passed since the last time patient 015-23047 received a procedure in this hospital visit? | SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', treatment.treatmenttime)) FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '015-23047' AND patient.hospitaldischargetime IS NULL)) ORDER BY treatment.treatmenttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."hospitaldischargetime" IS NULL AND "patient"."uniquepid" = '015-23047' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "treatment"."treatmenttime")) FROM "treatment" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "treatment"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL ORDER BY "treatment"."treatmenttime" DESC FETCH FIRST 1 ROWS ONLY | 0.657227 |
CREATE TABLE table_65899 ("Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Partner" CLOB, "Opponent in the final" CLOB, "Score" CLOB)
| What date has kimberly po nathalie tauziat as the opponent in the final? | SELECT "Date" FROM table_65899 WHERE "Opponent in the final" = 'kimberly po nathalie tauziat' | SELECT "Date" FROM "table_65899" WHERE "Opponent in the final" = 'kimberly po nathalie tauziat' | 0.092773 |
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 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)
| what is the number of self pay insurance patients who had initial insertion of transvenous lead [electrode] into ventricle? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Self Pay" AND procedures.long_title = "Initial insertion of transvenous lead [electrode] into ventricle" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Initial insertion of transvenous lead [electrode] into ventricle" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "Self Pay" = "demographic"."insurance" | 0.275391 |
CREATE TABLE table_12407 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| Who is the player with a 70-68-74=212 score? | SELECT "Player" FROM table_12407 WHERE "Score" = '70-68-74=212' | SELECT "Player" FROM "table_12407" WHERE "Score" = '70-68-74=212' | 0.063477 |
CREATE TABLE table_2618113_1 (original_air_date VARCHAR2, production_code VARCHAR2)
| What was the airdate of k0120? | SELECT original_air_date FROM table_2618113_1 WHERE production_code = "K0120" | SELECT "original_air_date" FROM "table_2618113_1" WHERE "K0120" = "production_code" | 0.081055 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many hispanic or latino patients have stayed in the hospital for more than 20 days? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "HISPANIC OR LATINO" AND demographic.days_stay > "20" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "20" < "demographic"."days_stay" AND "HISPANIC OR LATINO" = "demographic"."ethnicity" | 0.15625 |
CREATE TABLE characteristics (characteristic_id NUMBER, characteristic_type_code CLOB, characteristic_data_type CLOB, characteristic_name CLOB, other_characteristic_details CLOB)
CREATE TABLE products (product_id NUMBER, color_code CLOB, product_category_code CLOB, product_name CLOB, typical_buying_price CLOB, typical_selling_price CLOB, product_description CLOB, other_product_details CLOB)
CREATE TABLE ref_product_categories (product_category_code CLOB, product_category_description CLOB, unit_of_measure CLOB)
CREATE TABLE ref_colors (color_code CLOB, color_description CLOB)
CREATE TABLE ref_characteristic_types (characteristic_type_code CLOB, characteristic_type_description CLOB)
CREATE TABLE product_characteristics (product_id NUMBER, characteristic_id NUMBER, product_characteristic_value CLOB)
| Return the color description that is most common across all products. | SELECT t2.color_description FROM products AS t1 JOIN ref_colors AS t2 ON t1.color_code = t2.color_code GROUP BY t2.color_description ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "t2"."color_description" FROM "products" "t1" JOIN "ref_colors" "t2" ON "t1"."color_code" = "t2"."color_code" GROUP BY "t2"."color_description" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY | 0.192383 |
CREATE TABLE table_name_89 (draws NUMBER, wins VARCHAR2)
| Which draws have an average of 14 wins? | SELECT AVG(draws) FROM table_name_89 WHERE wins = 14 | SELECT AVG("draws") FROM "table_name_89" WHERE "wins" = 14 | 0.056641 |
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 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 PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE 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 PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE FlagTypes (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 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)
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 ReviewTaskTypes (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 ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId 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 ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId 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)
| Number of entries in PostHistory. | SELECT COUNT(*) FROM PostHistory | SELECT COUNT(*) FROM "PostHistory" | 0.033203 |
CREATE TABLE table_76291 ("Position" FLOAT, "Played" FLOAT, "Points" FLOAT, "Wins" FLOAT, "Draws" FLOAT, "Losses" FLOAT, "Goals for" FLOAT, "Goals against" FLOAT, "Goal Difference" FLOAT)
| Can you tell me the total number of Wins that has the Draws larger than 0, and the Points of 11? | SELECT COUNT("Wins") FROM table_76291 WHERE "Draws" > '0' AND "Points" = '11' | SELECT COUNT("Wins") FROM "table_76291" WHERE "Draws" > '0' AND "Points" = '11' | 0.077148 |
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE 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 PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId 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 FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
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 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 ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE CloseReasonTypes (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 Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
| You get the most rep by answering questions tagged with.... | WITH VoteRep AS (SELECT 1 AS VoteTypeId, 15 AS Rep UNION SELECT 2, 10 UNION SELECT 3, -2) SELECT * FROM Posts AS Q, Posts AS A, PostTags, Votes, VoteRep WHERE A.OwnerUserId = '##AccountId:int?1783163##' AND A.ParentId = Q.Id AND PostTags.PostId = Q.Id AND Votes.PostId = A.Id AND Votes.VoteTypeId = VoteRep.VoteTypeId | WITH "VoteRep" AS (SELECT 1 AS "VoteTypeId", 15 AS "Rep" UNION SELECT 2, 10 UNION SELECT 3, -2) SELECT * FROM "Posts" "Q" JOIN "Posts" "A" ON "A"."OwnerUserId" = '##AccountId:int?1783163##' AND "A"."ParentId" = "Q"."Id" JOIN "PostTags" ON "PostTags"."PostId" = "Q"."Id" JOIN "Votes" ON "A"."Id" = "Votes"."PostId" JOIN "VoteRep" ON "VoteRep"."VoteTypeId" = "Votes"."VoteTypeId" | 0.368164 |
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 diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| count the number of patients whose days of hospital stay is greater than 26 and admission year is less than 2114? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.days_stay > "26" AND demographic.admityear < "2114" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2114" > "demographic"."admityear" AND "26" < "demographic"."days_stay" | 0.142578 |
CREATE TABLE table_name_21 (tie_no VARCHAR2, away_team VARCHAR2)
| What was the tie against the away team, Leicester City? | SELECT tie_no FROM table_name_21 WHERE away_team = "leicester city" | SELECT "tie_no" FROM "table_name_21" WHERE "away_team" = "leicester city" | 0.071289 |
CREATE TABLE table_63227 ("Player" CLOB, "Country" CLOB, "Year won" FLOAT, "Total" FLOAT, "To par" CLOB, "Finish" CLOB)
| Which Total has a Finish of t64, and a Year won larger than 2006? | SELECT MAX("Total") FROM table_63227 WHERE "Finish" = 't64' AND "Year won" > '2006' | SELECT MAX("Total") FROM "table_63227" WHERE "Finish" = 't64' AND "Year won" > '2006' | 0.083008 |
CREATE TABLE table_14015965_1 (head_coach VARCHAR2, previous_season VARCHAR2)
| Who was the head coach in season 2? | SELECT head_coach FROM table_14015965_1 WHERE previous_season = "2" | SELECT "head_coach" FROM "table_14015965_1" WHERE "2" = "previous_season" | 0.071289 |
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId 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 ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
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 Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
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 Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
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 ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
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 Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
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 PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
| Number of questions per tag per year. | SELECT *, YEAR(Posts.CreationDate) AS "year" FROM Posts WHERE PostTypeId = 1 AND DeletionDate IS NULL LIMIT 10 | SELECT *, YEAR("Posts"."CreationDate") AS "year" FROM "Posts" WHERE "DeletionDate" IS NULL AND "PostTypeId" = 1 FETCH FIRST 10 ROWS ONLY | 0.132813 |
CREATE TABLE table_78349 ("Player" CLOB, "Pos." CLOB, "From" FLOAT, "School/Country" CLOB, "Rebs" FLOAT, "Asts" FLOAT)
| What is the highest number of assists for players that are f/c and have under 13 rebounds? | SELECT MAX("Asts") FROM table_78349 WHERE "Pos." = 'f/c' AND "Rebs" < '13' | SELECT MAX("Asts") FROM "table_78349" WHERE "Pos." = 'f/c' AND "Rebs" < '13' | 0.074219 |
CREATE TABLE table_22974 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" CLOB, "Directed by" CLOB, "Written by" CLOB, "Original air date" CLOB, "Production code" FLOAT, "U.S. viewers ( millions ) " CLOB)
| How many millions of people in the US saw the episode with season number 1? | SELECT "U.S. viewers (millions)" FROM table_22974 WHERE "No. in season" = '1' | SELECT "U.S. viewers (millions)" FROM "table_22974" WHERE "No. in season" = '1' | 0.077148 |
CREATE TABLE savings (balance NUMBER)
| How many accounts have a savings balance above the average savings balance? | SELECT COUNT(*) FROM savings WHERE balance > (SELECT AVG(balance) FROM savings) | SELECT COUNT(*) FROM "savings" WHERE "balance" > (SELECT AVG("balance") FROM "savings") | 0.084961 |
CREATE TABLE table_name_89 (bodyweight NUMBER, snatch VARCHAR2)
| what is the average bodyweight when snatch is 80? | SELECT AVG(bodyweight) FROM table_name_89 WHERE snatch = 80 | SELECT AVG("bodyweight") FROM "table_name_89" WHERE "snatch" = 80 | 0.063477 |
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE 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 icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
| how much is nitrofurantoin monohyd (macrobid) costing? | SELECT DISTINCT cost.cost FROM cost WHERE cost.event_type = 'prescriptions' AND cost.event_id IN (SELECT prescriptions.row_id FROM prescriptions WHERE prescriptions.drug = 'nitrofurantoin monohyd (macrobid)') | WITH "_u_0" AS (SELECT "prescriptions"."row_id" FROM "prescriptions" WHERE "prescriptions"."drug" = 'nitrofurantoin monohyd (macrobid)' GROUP BY "row_id") SELECT DISTINCT "cost"."cost" FROM "cost" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "cost"."event_id" WHERE "cost"."event_type" = 'prescriptions' AND NOT "_u_0"."" IS NULL | 0.31543 |
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 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_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name 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 restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE 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 airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
| is ground transportation available in PHILADELPHIA | SELECT DISTINCT ground_service.transport_type FROM city, ground_service WHERE city.city_name = 'PHILADELPHIA' AND ground_service.city_code = city.city_code | SELECT DISTINCT "ground_service"."transport_type" FROM "city" JOIN "ground_service" ON "city"."city_code" = "ground_service"."city_code" WHERE "city"."city_name" = 'PHILADELPHIA' | 0.173828 |
CREATE TABLE table_56855 ("Res." CLOB, "Record" CLOB, "Opponent" CLOB, "Method" CLOB, "Event" CLOB, "Round" FLOAT, "Time" CLOB, "Location" CLOB)
| Where was match which had Joe Lauzon as an opponent? | SELECT "Location" FROM table_56855 WHERE "Opponent" = 'joe lauzon' | SELECT "Location" FROM "table_56855" WHERE "Opponent" = 'joe lauzon' | 0.066406 |
CREATE TABLE table_name_20 (album VARCHAR2, remixed_by VARCHAR2, version VARCHAR2)
| Which album is the royal g's club mix version, which is remixed by royal garden sound, from? | SELECT album FROM table_name_20 WHERE remixed_by = "royal garden sound" AND version = "royal g's club mix" | SELECT "album" FROM "table_name_20" WHERE "remixed_by" = "royal garden sound" AND "royal g's club mix" = "version" | 0.111328 |
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)
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)
| let me know the short title of procedure that the patient jerry deberry underwent. | SELECT procedures.short_title FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.name = "Jerry Deberry" | SELECT "procedures"."short_title" FROM "demographic" JOIN "procedures" ON "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "Jerry Deberry" = "demographic"."name" | 0.163086 |
CREATE TABLE table_16387953_1 (home_team VARCHAR2)
| What are the scores for games where the home team is Adelaide? | SELECT home_team AS score FROM table_16387953_1 WHERE home_team = "Adelaide" | SELECT "home_team" AS "score" FROM "table_16387953_1" WHERE "Adelaide" = "home_team" | 0.082031 |
CREATE TABLE table_8272 ("Name" CLOB, "Date" CLOB, "Defending forces" CLOB, "Brigade" CLOB, "Population" CLOB)
| Which defending forces has a population of 230? | SELECT "Defending forces" FROM table_8272 WHERE "Population" = '230' | SELECT "Defending forces" FROM "table_8272" WHERE "Population" = '230' | 0.068359 |
CREATE TABLE table_13636_1 (first_operational VARCHAR2, programming VARCHAR2)
| what's the first operational with programming being not programmable single purpose | SELECT first_operational FROM table_13636_1 WHERE programming = "Not programmable—single purpose" | SELECT "first_operational" FROM "table_13636_1" WHERE "Not programmable—single purpose" = "programming" | 0.100586 |
CREATE TABLE table_69054 ("Year" CLOB, "Men's singles" CLOB, "Women's singles" CLOB, "Men's doubles" CLOB, "Women's doubles" CLOB, "Mixed doubles" CLOB)
| Who won the mixed doubles the same year that Andrew Downes won the men's singles? | SELECT "Mixed doubles" FROM table_69054 WHERE "Men's singles" = 'andrew downes' | SELECT "Mixed doubles" FROM "table_69054" WHERE "Men's singles" = 'andrew downes' | 0.079102 |
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 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)
| what is minimum age of patients whose marital status is married and discharge location is dead/expired? | SELECT MIN(demographic.age) FROM demographic WHERE demographic.marital_status = "MARRIED" AND demographic.discharge_location = "DEAD/EXPIRED" | SELECT MIN("demographic"."age") FROM "demographic" WHERE "DEAD/EXPIRED" = "demographic"."discharge_location" AND "MARRIED" = "demographic"."marital_status" | 0.151367 |
CREATE TABLE device (Device_ID NUMBER, Device CLOB, Carrier CLOB, Package_Version CLOB, Applications CLOB, Software_Platform CLOB)
CREATE TABLE stock (Shop_ID NUMBER, Device_ID NUMBER, Quantity NUMBER)
CREATE TABLE shop (Shop_ID NUMBER, Shop_Name CLOB, Location CLOB, Open_Date CLOB, Open_Year NUMBER)
| Give a bar chart showing how many shops in each carrier, list by the the number of carrier in desc. | SELECT Carrier, COUNT(Carrier) FROM stock AS T1 JOIN device AS T2 ON T1.Device_ID = T2.Device_ID JOIN shop AS T3 ON T1.Shop_ID = T3.Shop_ID GROUP BY Carrier ORDER BY COUNT(Carrier) DESC | SELECT "Carrier", COUNT("Carrier") FROM "stock" "T1" JOIN "device" "T2" ON "T1"."Device_ID" = "T2"."Device_ID" JOIN "shop" "T3" ON "T1"."Shop_ID" = "T3"."Shop_ID" GROUP BY "Carrier" ORDER BY COUNT("Carrier") DESC | 0.207031 |
CREATE TABLE table_18823 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
| who is the the high rebounds with team being vancouver | SELECT "High rebounds" FROM table_18823 WHERE "Team" = 'Vancouver' | SELECT "High rebounds" FROM "table_18823" WHERE "Team" = 'Vancouver' | 0.066406 |
CREATE TABLE table_name_22 (city VARCHAR2, name VARCHAR2)
| Name the city for athous lavrensis | SELECT city FROM table_name_22 WHERE name = "athous lavrensis" | SELECT "city" FROM "table_name_22" WHERE "athous lavrensis" = "name" | 0.066406 |
CREATE TABLE table_name_36 (release_date VARCHAR2, writer VARCHAR2, company VARCHAR2)
| What is the release date of the album written by Goss, James James Goss under Audiogo? | SELECT release_date FROM table_name_36 WHERE writer = "goss, james james goss" AND company = "audiogo" | SELECT "release_date" FROM "table_name_36" WHERE "audiogo" = "company" AND "goss, james james goss" = "writer" | 0.107422 |
CREATE TABLE table_22802 ("Year" CLOB, "League" CLOB, "Reg. Season" CLOB, "Playoffs" CLOB, "Owner ( s ) " CLOB, "Avg. Attendance" FLOAT)
| what was the year where in the playoffs was champions | SELECT "Year" FROM table_22802 WHERE "Playoffs" = 'Champions' | SELECT "Year" FROM "table_22802" WHERE "Playoffs" = 'Champions' | 0.061523 |
CREATE TABLE table_name_65 (competition VARCHAR2, date VARCHAR2, year VARCHAR2, surface VARCHAR2)
| Which competition has a Year of 2008, a Surface of carpet, and a Date of 31 jan? | SELECT competition FROM table_name_65 WHERE year = 2008 AND surface = "carpet" AND date = "31 jan" | SELECT "competition" FROM "table_name_65" WHERE "31 jan" = "date" AND "carpet" = "surface" AND "year" = 2008 | 0.105469 |
CREATE TABLE table_name_98 (time VARCHAR2, year VARCHAR2, event VARCHAR2)
| What is Time, when Year is greater than 2011, and when Event is '800 Freestyle Relay'? | SELECT time FROM table_name_98 WHERE year > 2011 AND event = "800 freestyle relay" | SELECT "time" FROM "table_name_98" WHERE "800 freestyle relay" = "event" AND "year" > 2011 | 0.087891 |
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
| when's the last time patient 011-23004's systemicdiastolic was measured or taken? | SELECT vitalperiodic.observationtime FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '011-23004')) AND NOT vitalperiodic.systemicdiastolic IS NULL ORDER BY vitalperiodic.observationtime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '011-23004' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "vitalperiodic"."observationtime" FROM "vitalperiodic" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."systemicdiastolic" IS NULL ORDER BY "vitalperiodic"."observationtime" DESC FETCH FIRST 1 ROWS ONLY | 0.62793 |
CREATE TABLE station (Station_ID NUMBER, Name CLOB, Annual_entry_exit FLOAT, Annual_interchanges FLOAT, Total_Passengers FLOAT, Location CLOB, Main_Services CLOB, Number_of_Platforms NUMBER)
CREATE TABLE train (Train_ID NUMBER, Name CLOB, Time CLOB, Service CLOB)
CREATE TABLE train_station (Train_ID NUMBER, Station_ID NUMBER)
| What is the number of platforms for each location? Show the comparison with a bar chart, I want to order by the Y in asc. | SELECT Location, SUM(Number_of_Platforms) FROM station GROUP BY Location ORDER BY SUM(Number_of_Platforms) | SELECT "Location", SUM("Number_of_Platforms") FROM "station" GROUP BY "Location" ORDER BY SUM("Number_of_Platforms") | 0.113281 |
CREATE TABLE table_68676 ("Year" FLOAT, "Total Region" FLOAT, "Mackay" FLOAT, "Pioneer" FLOAT, "Mirani" FLOAT, "Sarina" FLOAT)
| What is the lowest Pioneer population with a Sarina population less than 7,537 and a Mirani population less than 5,379 in 1966? | SELECT MIN("Pioneer") FROM table_68676 WHERE "Sarina" < '7,537' AND "Year" = '1966' AND "Mirani" < '5,379' | SELECT MIN("Pioneer") FROM "table_68676" WHERE "Mirani" < '5,379' AND "Sarina" < '7,537' AND "Year" = '1966' | 0.105469 |
CREATE TABLE table_15187735_8 (segment_b VARCHAR2, segment_c VARCHAR2)
| Name the segment b for graphite s fly rod | SELECT segment_b FROM table_15187735_8 WHERE segment_c = "Graphite s Fly Rod" | SELECT "segment_b" FROM "table_15187735_8" WHERE "Graphite s Fly Rod" = "segment_c" | 0.081055 |
CREATE TABLE table_name_69 (bronze NUMBER, silver VARCHAR2, rank VARCHAR2)
| What is the highest number of bronze when silver is larger than 0, rank is larger than 3? | SELECT MAX(bronze) FROM table_name_69 WHERE silver > 0 AND rank > 3 | SELECT MAX("bronze") FROM "table_name_69" WHERE "rank" > 3 AND "silver" > 0 | 0.073242 |
CREATE TABLE vocals (songid NUMBER, bandmate NUMBER, type CLOB)
CREATE TABLE performance (songid NUMBER, bandmate NUMBER, stageposition CLOB)
CREATE TABLE songs (songid NUMBER, title CLOB)
CREATE TABLE tracklists (albumid NUMBER, position NUMBER, songid NUMBER)
CREATE TABLE instruments (songid NUMBER, bandmateid NUMBER, instrument CLOB)
CREATE TABLE albums (aid NUMBER, title CLOB, year NUMBER, label CLOB, type CLOB)
CREATE TABLE band (id NUMBER, firstname CLOB, lastname CLOB)
| What are the different album labels listed? | SELECT DISTINCT label FROM albums | SELECT DISTINCT "label" FROM "albums" | 0.036133 |
CREATE TABLE Document_locations (location_code VARCHAR2)
| Show the location codes with at least 3 documents. | SELECT location_code FROM Document_locations GROUP BY location_code HAVING COUNT(*) >= 3 | SELECT "location_code" FROM "Document_locations" GROUP BY "location_code" HAVING COUNT(*) >= 3 | 0.091797 |
CREATE TABLE table_name_96 (time_retired VARCHAR2, driver VARCHAR2, grid VARCHAR2, laps VARCHAR2)
| I want the time/retired with grid less than 22 and Laps less than 33 for john surtees | SELECT time_retired FROM table_name_96 WHERE grid < 22 AND laps < 33 AND driver = "john surtees" | SELECT "time_retired" FROM "table_name_96" WHERE "driver" = "john surtees" AND "grid" < 22 AND "laps" < 33 | 0.103516 |
CREATE TABLE table_name_83 (runner_s__up VARCHAR2, date VARCHAR2)
| On the Date of 4 Oct 2009, who was the Runner(s)-up? | SELECT runner_s__up FROM table_name_83 WHERE date = "4 oct 2009" | SELECT "runner_s__up" FROM "table_name_83" WHERE "4 oct 2009" = "date" | 0.068359 |
CREATE TABLE table_53744 ("Village ( German ) " CLOB, "Village ( Slovene ) " CLOB, "Number of people 1991" FLOAT, "Percent of Slovenes 1991" CLOB, "Percent of Slovenes 1951" CLOB)
| How many people in 1991 have a Village (German) of rupertiberg? | SELECT COUNT("Number of people 1991") FROM table_53744 WHERE "Village (German)" = 'rupertiberg' | SELECT COUNT("Number of people 1991") FROM "table_53744" WHERE "Village (German)" = 'rupertiberg' | 0.094727 |
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE 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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE 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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
| how many patients have been admitted into a hospital until 2103? | SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE STRFTIME('%y', admissions.admittime) <= '2103' | SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "admissions" WHERE STRFTIME('%y', "admissions"."admittime") <= '2103' | 0.120117 |
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
| how many times did patient 005-46456 receive surgery consultation in 2104? | SELECT COUNT(*) FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '005-46456')) AND treatment.treatmentname = 'surgery consultation' AND STRFTIME('%y', treatment.treatmenttime) = '2104' | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '005-46456' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) FROM "treatment" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "treatment"."patientunitstayid" WHERE "treatment"."treatmentname" = 'surgery consultation' AND NOT "_u_1"."" IS NULL AND STRFTIME('%y', "treatment"."treatmenttime") = '2104' | 0.585938 |
CREATE TABLE swimmer (meter_200 VARCHAR2, meter_300 VARCHAR2, nationality VARCHAR2)
| Find all 200 meter and 300 meter results of swimmers with nationality 'Australia'. | SELECT meter_200, meter_300 FROM swimmer WHERE nationality = 'Australia' | SELECT "meter_200", "meter_300" FROM "swimmer" WHERE "nationality" = 'Australia' | 0.078125 |
CREATE TABLE table_68564 ("Round" FLOAT, "Pick #" FLOAT, "Overall" FLOAT, "Name" CLOB, "Position" CLOB, "College" CLOB)
| College of san diego state, and a Pick # smaller than 30 has what lowest overall? | SELECT MIN("Overall") FROM table_68564 WHERE "College" = 'san diego state' AND "Pick #" < '30' | SELECT MIN("Overall") FROM "table_68564" WHERE "College" = 'san diego state' AND "Pick #" < '30' | 0.09375 |
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| tell me the total of patient 8116's input on the current intensive care unit visit? | SELECT SUM(inputevents_cv.amount) FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 8116) AND icustays.outtime IS NULL) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 8116 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") SELECT SUM("inputevents_cv"."amount") FROM "inputevents_cv" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "inputevents_cv"."icustay_id" WHERE NOT "_u_1"."" IS NULL | 0.470703 |
CREATE TABLE table_13553701_1 (mens_doubles VARCHAR2, mens_singles VARCHAR2)
| Who are the mens doubles and and mens singles is lee hyun-il? | SELECT mens_doubles FROM table_13553701_1 WHERE mens_singles = "Lee Hyun-il" | SELECT "mens_doubles" FROM "table_13553701_1" WHERE "Lee Hyun-il" = "mens_singles" | 0.080078 |
CREATE TABLE table_42076 ("Category" CLOB, "Frequency" CLOB, "White" CLOB, "Brown" CLOB, "Black" CLOB, "Amerindian" CLOB, "Yellow" CLOB, "Total" CLOB, "difference between White and Black" FLOAT)
| Which Category in Black has a Brown of 6,54%? | SELECT "Black" FROM table_42076 WHERE "Brown" = '6,54%' | SELECT "Black" FROM "table_42076" WHERE "Brown" = '6,54%' | 0.055664 |
CREATE TABLE table_51974 ("Date" CLOB, "Visitor" CLOB, "Score" CLOB, "Home" CLOB, "Leading scorer" CLOB, "Attendance" FLOAT, "Record" CLOB)
| Who was the home team of the game with manu gin bili (34) as the leading scorer? | SELECT "Home" FROM table_51974 WHERE "Leading scorer" = 'manu ginóbili (34)' | SELECT "Home" FROM "table_51974" WHERE "Leading scorer" = 'manu ginóbili (34)' | 0.076172 |
CREATE TABLE market (Market_ID NUMBER, District CLOB, Num_of_employees NUMBER, Num_of_shops FLOAT, Ranking NUMBER)
CREATE TABLE phone_market (Market_ID NUMBER, Phone_ID CLOB, Num_of_stock NUMBER)
CREATE TABLE phone (Name CLOB, Phone_ID NUMBER, Memory_in_G NUMBER, Carrier CLOB, Price FLOAT)
| What is the number of carriers of phones? Give me a bar chart, and show Y-axis from low to high order. | SELECT Carrier, COUNT(Carrier) FROM phone GROUP BY Carrier ORDER BY COUNT(Carrier) | SELECT "Carrier", COUNT("Carrier") FROM "phone" GROUP BY "Carrier" ORDER BY COUNT("Carrier") | 0.089844 |
CREATE TABLE table_4960 ("Date" FLOAT, "Opponent" CLOB, "Result" CLOB, "Odds" CLOB, "Location" CLOB, "Score" CLOB)
| Where was the match located when the odds were p + 1 and the score was 1/3? | SELECT "Location" FROM table_4960 WHERE "Odds" = 'p + 1' AND "Score" = '1/3' | SELECT "Location" FROM "table_4960" WHERE "Odds" = 'p + 1' AND "Score" = '1/3' | 0.076172 |
CREATE TABLE table_65588 ("Actor" CLOB, "Character" CLOB, "Soap Opera" CLOB, "Years" CLOB, "Duration" CLOB)
| What years have claudia ruffo as the actor? | SELECT "Years" FROM table_65588 WHERE "Actor" = 'claudia ruffo' | SELECT "Years" FROM "table_65588" WHERE "Actor" = 'claudia ruffo' | 0.063477 |
CREATE TABLE table_name_27 (rank_by_average NUMBER, average VARCHAR2, number_of_dances VARCHAR2)
| What was the highest rank by average of a couple who had an average of 25.3 and had more than 10 dances? | SELECT MAX(rank_by_average) FROM table_name_27 WHERE average = 25.3 AND number_of_dances > 10 | SELECT MAX("rank_by_average") FROM "table_name_27" WHERE "average" = 25.3 AND "number_of_dances" > 10 | 0.098633 |
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
| For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about employee_id over the phone_number by a bar chart, and order total number from high to low order. | SELECT PHONE_NUMBER, EMPLOYEE_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY EMPLOYEE_ID DESC | SELECT "PHONE_NUMBER", "EMPLOYEE_ID" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "EMPLOYEE_ID" DESC | 0.199219 |
CREATE TABLE table_name_88 (laps NUMBER, manufacturer VARCHAR2, grid VARCHAR2)
| Can you tell me the sum of Laps that has the Manufacturer of kawasaki, and the Grid smaller than 7? | SELECT SUM(laps) FROM table_name_88 WHERE manufacturer = "kawasaki" AND grid < 7 | SELECT SUM("laps") FROM "table_name_88" WHERE "grid" < 7 AND "kawasaki" = "manufacturer" | 0.085938 |
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
| For those records from the products and each product's manufacturer, show me about the distribution of name and revenue , and group by attribute founder in a bar chart, order X in ascending order. | SELECT T1.Name, T2.Revenue FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder, T1.Name ORDER BY T1.Name | SELECT "T1"."Name", "T2"."Revenue" FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Founder", "T1"."Name" ORDER BY "T1"."Name" | 0.166992 |
CREATE TABLE table_name_26 (gold VARCHAR2, bronze VARCHAR2, silver VARCHAR2, total VARCHAR2)
| How much Gold has a Silver smaller than 3, and a Total of 9, and a Bronze smaller than 1? | SELECT COUNT(gold) FROM table_name_26 WHERE silver < 3 AND total = 9 AND bronze < 1 | SELECT COUNT("gold") FROM "table_name_26" WHERE "bronze" < 1 AND "silver" < 3 AND "total" = 9 | 0.09082 |
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year 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 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 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 instructor (instructor_id NUMBER, name VARCHAR2, uniqname 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 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 course_prerequisite (pre_course_id NUMBER, course_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 program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
| What professor is teaching ULCS classes next Winter ? | SELECT DISTINCT instructor.name FROM course INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN semester ON semester.semester_id = course_offering.semester INNER JOIN program_course ON program_course.course_id = course_offering.course_id INNER JOIN offering_instructor ON offering_instructor.offering_id = course_offering.offering_id INNER JOIN instructor ON offering_instructor.instructor_id = instructor.instructor_id WHERE program_course.category LIKE '%ULCS%' AND semester.semester = 'Winter' AND semester.year = 2017 | SELECT DISTINCT "instructor"."name" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "program_course" ON "course_offering"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%ULCS%' JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'Winter' AND "semester"."year" = 2017 JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" | 0.577148 |
CREATE TABLE club_rank (rank NUMBER, club_id NUMBER, gold NUMBER, silver NUMBER, bronze NUMBER, total NUMBER)
CREATE TABLE club (club_id NUMBER, name CLOB, region CLOB, start_year CLOB)
CREATE TABLE competition_result (competition_id NUMBER, club_id_1 NUMBER, club_id_2 NUMBER, score CLOB)
CREATE TABLE competition (competition_id NUMBER, year NUMBER, competition_type CLOB, country CLOB)
CREATE TABLE player (player_id NUMBER, name CLOB, position CLOB, club_id NUMBER, apps NUMBER, tries NUMBER, goals CLOB, points NUMBER)
| find the number of players whose points are lower than 30 in each position. | SELECT COUNT(*), position FROM player WHERE points < 30 GROUP BY position | SELECT COUNT(*), "position" FROM "player" WHERE "points" < 30 GROUP BY "position" | 0.079102 |
CREATE TABLE table_1444201_1 (year_model VARCHAR2, model VARCHAR2)
| Name the year model for 1.3 | SELECT year_model FROM table_1444201_1 WHERE model = "1.3" | SELECT "year_model" FROM "table_1444201_1" WHERE "1.3" = "model" | 0.0625 |
CREATE TABLE table_46039 ("Rank" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What's the lowest total when there's less than 16 bronze and more than 6 silver? | SELECT MIN("Total") FROM table_46039 WHERE "Bronze" < '16' AND "Silver" > '6' | SELECT MIN("Total") FROM "table_46039" WHERE "Bronze" < '16' AND "Silver" > '6' | 0.077148 |
CREATE TABLE weekly_weather (station_id NUMBER, day_of_week CLOB, high_temperature NUMBER, low_temperature NUMBER, precipitation FLOAT, wind_speed_mph NUMBER)
CREATE TABLE route (train_id NUMBER, station_id NUMBER)
CREATE TABLE station (id NUMBER, network_name CLOB, services CLOB, local_authority CLOB)
CREATE TABLE train (id NUMBER, train_number NUMBER, name CLOB, origin CLOB, destination CLOB, time CLOB, interval CLOB)
| Compute the number of services by services and then split by local authorities Show the result with a stacked bar graph, show by the X-axis from low to high. | SELECT local_authority, COUNT(local_authority) FROM station GROUP BY services, local_authority ORDER BY local_authority | SELECT "local_authority", COUNT("local_authority") FROM "station" GROUP BY "services", "local_authority" ORDER BY "local_authority" | 0.12793 |
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)
CREATE TABLE schedule (Cinema_ID NUMBER, Film_ID NUMBER, Date CLOB, Show_times_per_day NUMBER, Price FLOAT)
| Give me the title and highest price for each film in a bar chart, and display x-axis in asc order. | SELECT Title, MAX(T1.Price) FROM schedule AS T1 JOIN film AS T2 ON T1.Film_ID = T2.Film_ID GROUP BY Title ORDER BY Title | SELECT "Title", MAX("T1"."Price") FROM "schedule" "T1" JOIN "film" "T2" ON "T1"."Film_ID" = "T2"."Film_ID" GROUP BY "Title" ORDER BY "Title" | 0.136719 |
CREATE TABLE table_name_84 (winner VARCHAR2, course VARCHAR2)
| Who was the winner at Milan Circuit Race? | SELECT winner FROM table_name_84 WHERE course = "milan circuit race" | SELECT "winner" FROM "table_name_84" WHERE "course" = "milan circuit race" | 0.072266 |
CREATE TABLE table_10592536_8 (date_of_vacancy VARCHAR2, date_of_appointment VARCHAR2, replaced_by VARCHAR2)
| What is the date of vacancy when the date of appointment is 28 november 2007 and replaced by is alex mcleish? | SELECT date_of_vacancy FROM table_10592536_8 WHERE date_of_appointment = "28 November 2007" AND replaced_by = "Alex McLeish" | SELECT "date_of_vacancy" FROM "table_10592536_8" WHERE "28 November 2007" = "date_of_appointment" AND "Alex McLeish" = "replaced_by" | 0.128906 |
CREATE TABLE table_43850 ("Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Opponent" CLOB, "Score" CLOB)
| Who is the opponent for the game played on august 20, 2006? | SELECT "Opponent" FROM table_43850 WHERE "Date" = 'august 20, 2006' | SELECT "Opponent" FROM "table_43850" WHERE "Date" = 'august 20, 2006' | 0.067383 |
CREATE TABLE table_202_28 (id NUMBER, "year" NUMBER, "output growth rate %" NUMBER, "unemployment rate %" NUMBER, "inflation rate %" NUMBER)
| in what years , between 1990 and 2004 , did japan 's unemployment rate reach 5 % or higher ? | SELECT COUNT("year") FROM table_202_28 WHERE "year" >= 1990 AND "year" <= 2004 AND "unemployment rate %" >= 5 | SELECT COUNT("year") FROM "table_202_28" WHERE "unemployment rate %" >= 5 AND "year" <= 2004 AND "year" >= 1990 | 0.108398 |
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 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)
| how many patients whose admission year is less than 2190 and procedure icd9 code is 8855? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admityear < "2190" AND procedures.icd9_code = "8855" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "8855" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "2190" > "demographic"."admityear" | 0.211914 |
CREATE TABLE table_23670057_7 (current_club VARCHAR2, player VARCHAR2)
| What is every current club for the player Art rs t lbergs? | SELECT current_club FROM table_23670057_7 WHERE player = "Artūrs Štālbergs" | SELECT "current_club" FROM "table_23670057_7" WHERE "Artūrs Štālbergs" = "player" | 0.079102 |
CREATE TABLE All_Documents (Document_ID NUMBER, Date_Stored DATETIME, Document_Type_Code CHAR, Document_Name CHAR, Document_Description CHAR, Other_Details VARCHAR2)
CREATE TABLE Document_Locations (Document_ID NUMBER, Location_Code CHAR, Date_in_Location_From DATETIME, Date_in_Locaton_To DATETIME)
CREATE TABLE Roles (Role_Code CHAR, Role_Name VARCHAR2, Role_Description VARCHAR2)
CREATE TABLE Ref_Calendar (Calendar_Date DATETIME, Day_Number NUMBER)
CREATE TABLE Ref_Document_Types (Document_Type_Code CHAR, Document_Type_Name VARCHAR2, Document_Type_Description VARCHAR2)
CREATE TABLE Employees (Employee_ID NUMBER, Role_Code CHAR, Employee_Name VARCHAR2, Gender_MFU CHAR, Date_of_Birth DATETIME, Other_Details VARCHAR2)
CREATE TABLE Documents_to_be_Destroyed (Document_ID NUMBER, Destruction_Authorised_by_Employee_ID NUMBER, Destroyed_by_Employee_ID NUMBER, Planned_Destruction_Date DATETIME, Actual_Destruction_Date DATETIME, Other_Details VARCHAR2)
CREATE TABLE Ref_Locations (Location_Code CHAR, Location_Name VARCHAR2, Location_Description VARCHAR2)
| Show me the trend about what are all the calendar dates and day Numbers?, list by the X-axis in asc please. | SELECT Calendar_Date, Day_Number FROM Ref_Calendar ORDER BY Calendar_Date | SELECT "Calendar_Date", "Day_Number" FROM "Ref_Calendar" ORDER BY "Calendar_Date" | 0.079102 |
CREATE TABLE table_2597876_2 (top_10 VARCHAR2, team_s_ VARCHAR2, avg_finish VARCHAR2)
| What is every value of Top 10 when team is #10 Phil Parsons Racing and average finish is 22.9? | SELECT top_10 FROM table_2597876_2 WHERE team_s_ = "#10 Phil Parsons Racing" AND avg_finish = "22.9" | SELECT "top_10" FROM "table_2597876_2" WHERE "#10 Phil Parsons Racing" = "team_s_" AND "22.9" = "avg_finish" | 0.105469 |
CREATE TABLE table_name_66 (poles VARCHAR2, points VARCHAR2)
| What is the total number of poles and 63 points? | SELECT COUNT(poles) FROM table_name_66 WHERE points = "63" | SELECT COUNT("poles") FROM "table_name_66" WHERE "63" = "points" | 0.0625 |
CREATE TABLE table_27539535_4 (november NUMBER, game VARCHAR2)
| What is the highest entry in November for the game 20? | SELECT MAX(november) FROM table_27539535_4 WHERE game = 20 | SELECT MAX("november") FROM "table_27539535_4" WHERE "game" = 20 | 0.0625 |
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