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CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
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)
| count the number of patients whose days of hospital stay is greater than 17 and drug name is potassium phosphate? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.days_stay > "17" AND prescriptions.drug = "Potassium Phosphate" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Potassium Phosphate" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "17" < "demographic"."days_stay" | 0.228516 |
CREATE TABLE table_191105_4 (first_aired VARCHAR2, performed_by VARCHAR2)
| What is the date for the episode performed by Sue Manchester? | SELECT first_aired FROM table_191105_4 WHERE performed_by = "Sue Manchester" | SELECT "first_aired" FROM "table_191105_4" WHERE "Sue Manchester" = "performed_by" | 0.080078 |
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)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
| For those employees who did not have any job in the past, show me about the distribution of job_id and the amount of job_id , and group by attribute job_id in a bar chart, and show by the x axis in ascending please. | SELECT JOB_ID, COUNT(JOB_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) GROUP BY JOB_ID ORDER BY JOB_ID | SELECT "JOB_ID", COUNT("JOB_ID") FROM "employees" WHERE NOT "EMPLOYEE_ID" IN (SELECT "EMPLOYEE_ID" FROM "job_history") GROUP BY "JOB_ID" ORDER BY "JOB_ID" | 0.150391 |
CREATE TABLE table_41301 ("Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Partnering" CLOB, "Opponent in the final" CLOB, "Score" CLOB)
| Which tournament was played on 12 February 2001? | SELECT "Tournament" FROM table_41301 WHERE "Date" = '12 february 2001' | SELECT "Tournament" FROM "table_41301" WHERE "Date" = '12 february 2001' | 0.070313 |
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
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 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 ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId 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 Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskResultTypes (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 VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
| Top user in Tiruchirappalli, Tamil Nadu, India. | SELECT Id, DisplayName, Reputation, WebsiteUrl, Location FROM Users WHERE LOWER(Location) LIKE '%chennai%' OR LOWER(Location) LIKE '%chennai%' ORDER BY Reputation DESC LIMIT 10 | SELECT "Id", "DisplayName", "Reputation", "WebsiteUrl", "Location" FROM "Users" WHERE LOWER("Location") LIKE '%chennai%' ORDER BY "Reputation" DESC FETCH FIRST 10 ROWS ONLY | 0.167969 |
CREATE TABLE table_name_73 (opponent VARCHAR2, record VARCHAR2)
| What opponent has a record of 86-62? | SELECT opponent FROM table_name_73 WHERE record = "86-62" | SELECT "opponent" FROM "table_name_73" WHERE "86-62" = "record" | 0.061523 |
CREATE TABLE table_name_29 (winners VARCHAR2, venue VARCHAR2)
| Who took the winning slot at the Vojens venue? | SELECT winners FROM table_name_29 WHERE venue = "vojens" | SELECT "winners" FROM "table_name_29" WHERE "venue" = "vojens" | 0.060547 |
CREATE TABLE table_18174 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" FLOAT, "Result" CLOB, "Candidates" CLOB)
| Who was the incumbent of district Georgia 2? | SELECT "Incumbent" FROM table_18174 WHERE "District" = 'Georgia 2' | SELECT "Incumbent" FROM "table_18174" WHERE "District" = 'Georgia 2' | 0.066406 |
CREATE TABLE table_47535 ("Frequency" CLOB, "Call sign" CLOB, "Location" CLOB, "Name / Format" CLOB, "Owner" CLOB)
| Which Location has a Call sign of cjtw-fm? | SELECT "Location" FROM table_47535 WHERE "Call sign" = 'cjtw-fm' | SELECT "Location" FROM "table_47535" WHERE "Call sign" = 'cjtw-fm' | 0.064453 |
CREATE TABLE table_name_86 (year VARCHAR2, location VARCHAR2, date VARCHAR2)
| Which Year has a Location of dinas on 13 january? | SELECT year FROM table_name_86 WHERE location = "dinas" AND date = "13 january" | SELECT "year" FROM "table_name_86" WHERE "13 january" = "date" AND "dinas" = "location" | 0.084961 |
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
| For all employees who have the letters D or S in their first name, visualize a bar chart about the distribution of hire_date and the average of salary bin hire_date by weekday, and order by the y-axis from high to low. | SELECT HIRE_DATE, AVG(SALARY) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY AVG(SALARY) DESC | SELECT "HIRE_DATE", AVG("SALARY") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' ORDER BY AVG("SALARY") DESC | 0.131836 |
CREATE TABLE table_79806 ("Club" CLOB, "Manager" CLOB, "Captain" CLOB, "Manufacturer" CLOB, "Sponsor" CLOB)
| What Premier League Manager has an Adidas sponsor and a Newcastle United club? | SELECT "Manager" FROM table_79806 WHERE "Manufacturer" = 'adidas' AND "Club" = 'newcastle united' | SELECT "Manager" FROM "table_79806" WHERE "Club" = 'newcastle united' AND "Manufacturer" = 'adidas' | 0.09668 |
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE 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 Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE 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 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 PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
| Number of posts by year. | SELECT DATEDIFF(day, CreationDate, GETDATE()) / 365 AS yearsBack, COUNT(Id) AS postsCount FROM Posts GROUP BY DATEDIFF(day, CreationDate, GETDATE()) / 365 ORDER BY DATEDIFF(day, CreationDate, GETDATE()) / 365 DESC | SELECT DATEDIFF(CAST("day" AS DATETIME), CAST("CreationDate" AS DATETIME), GETDATE()) / NULLIF(365, 0) AS "yearsBack", COUNT("Id") AS "postsCount" FROM "Posts" GROUP BY DATEDIFF(CAST("day" AS DATETIME), CAST("CreationDate" AS DATETIME), GETDATE()) / NULLIF(365, 0) ORDER BY DATEDIFF(CAST("day" AS DATETIME), CAST("CreationDate" AS DATETIME), GETDATE()) / NULLIF(365, 0) DESC | 0.365234 |
CREATE TABLE table_name_18 (points NUMBER, rider VARCHAR2, manufacturer VARCHAR2, wins VARCHAR2, rank VARCHAR2)
| Wins of 0, and a Rank larger than 6, and a Manufacturer of kawasaki, and a Rider of massimo broccoli involved what highest points? | SELECT MAX(points) FROM table_name_18 WHERE wins = 0 AND rank > 6 AND manufacturer = "kawasaki" AND rider = "massimo broccoli" | SELECT MAX("points") FROM "table_name_18" WHERE "kawasaki" = "manufacturer" AND "massimo broccoli" = "rider" AND "rank" > 6 AND "wins" = 0 | 0.134766 |
CREATE TABLE culture_company (Company_name CLOB, Type CLOB, Incorporated_in CLOB, Group_Equity_Shareholding FLOAT, book_club_id CLOB, movie_id CLOB)
CREATE TABLE movie (movie_id NUMBER, Title CLOB, Year NUMBER, Director CLOB, Budget_million FLOAT, Gross_worldwide NUMBER)
CREATE TABLE book_club (book_club_id NUMBER, Year NUMBER, Author_or_Editor CLOB, Book_Title CLOB, Publisher CLOB, Category CLOB, Result CLOB)
| Show the total number from each category | SELECT Category, COUNT(*) FROM book_club GROUP BY Category | SELECT "Category", COUNT(*) FROM "book_club" GROUP BY "Category" | 0.0625 |
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 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)
| How many black/haitian patients have a thiamine prescription? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "BLACK/HAITIAN" AND prescriptions.drug = "Thiamine" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Thiamine" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "BLACK/HAITIAN" = "demographic"."ethnicity" | 0.228516 |
CREATE TABLE table_204_986 (id NUMBER, "#" NUMBER, "event year" NUMBER, "season" CLOB, "flag bearer" CLOB)
| how many total different people have born the glad for samoa at the olympics ? | SELECT COUNT(DISTINCT "flag bearer") FROM table_204_986 | SELECT COUNT(DISTINCT "flag bearer") FROM "table_204_986" | 0.055664 |
CREATE TABLE table_21035326_1 (golden_bears_points NUMBER, opponents VARCHAR2)
| What was the least amount of points scored by the golden bears when the opponent scored 15 points? | SELECT MIN(golden_bears_points) FROM table_21035326_1 WHERE opponents = 15 | SELECT MIN("golden_bears_points") FROM "table_21035326_1" WHERE "opponents" = 15 | 0.078125 |
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)
| what is the number of patients whose gender is f and diagnoses short title is depress psychosis-unspec? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.gender = "F" AND diagnoses.short_title = "Depress psychosis-unspec" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Depress psychosis-unspec" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "F" = "demographic"."gender" | 0.224609 |
CREATE TABLE Documents_with_Expenses (Document_ID NUMBER, Budget_Type_Code CHAR, Document_Details VARCHAR2)
CREATE TABLE Accounts (Account_ID NUMBER, Statement_ID NUMBER, Account_Details VARCHAR2)
CREATE TABLE Ref_Document_Types (Document_Type_Code CHAR, Document_Type_Name VARCHAR2, Document_Type_Description VARCHAR2)
CREATE TABLE Documents (Document_ID NUMBER, Document_Type_Code CHAR, Project_ID NUMBER, Document_Date DATETIME, Document_Name VARCHAR2, Document_Description VARCHAR2, Other_Details VARCHAR2)
CREATE TABLE Statements (Statement_ID NUMBER, Statement_Details VARCHAR2)
CREATE TABLE Projects (Project_ID NUMBER, Project_Details VARCHAR2)
CREATE TABLE Ref_Budget_Codes (Budget_Type_Code CHAR, Budget_Type_Description VARCHAR2)
| How many documents are there of each type. Plot them as pie chart. | SELECT Document_Type_Code, COUNT(*) FROM Documents GROUP BY Document_Type_Code | SELECT "Document_Type_Code", COUNT(*) FROM "Documents" GROUP BY "Document_Type_Code" | 0.082031 |
CREATE TABLE table_41723 ("Tie no" CLOB, "Home team" CLOB, "Score" CLOB, "Away team" CLOB, "Date" CLOB, "Attendance" CLOB)
| Where the away team is Bradford City, who is the home team? | SELECT "Home team" FROM table_41723 WHERE "Away team" = 'bradford city' | SELECT "Home team" FROM "table_41723" WHERE "Away team" = 'bradford city' | 0.071289 |
CREATE TABLE table_name_65 (entrant VARCHAR2, driver VARCHAR2, rounds VARCHAR2, chassis VARCHAR2)
| Who was the entrant for Gabriele Tarquini with all rounds and a JH24 JH25 Chassis? | SELECT entrant FROM table_name_65 WHERE rounds = "all" AND chassis = "jh24 jh25" AND driver = "gabriele tarquini" | SELECT "entrant" FROM "table_name_65" WHERE "all" = "rounds" AND "chassis" = "jh24 jh25" AND "driver" = "gabriele tarquini" | 0.120117 |
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)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE 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 cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
| how many days has it been since patient 15447 first stayed during this hospital encounter in the ward 23? | SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', transfers.intime)) FROM transfers WHERE transfers.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 15447 AND admissions.dischtime IS NULL)) AND transfers.wardid = 23 ORDER BY transfers.intime LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 15447 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") SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "transfers"."intime")) FROM "transfers" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "transfers"."icustay_id" WHERE "transfers"."wardid" = 23 AND NOT "_u_1"."" IS NULL ORDER BY "transfers"."intime" FETCH FIRST 1 ROWS ONLY | 0.591797 |
CREATE TABLE table_name_78 (date VARCHAR2, votes VARCHAR2)
| On what date were there 50,324 votes? | SELECT date FROM table_name_78 WHERE votes = "50,324" | SELECT "date" FROM "table_name_78" WHERE "50,324" = "votes" | 0.057617 |
CREATE TABLE table_546 ("Rank ( CSA ) " CLOB, "Combined Statistical Area ( or Metropolitan Statistical Area if noted ) " CLOB, "State ( s ) " CLOB, "2007 Estimate" CLOB, "2000 Population" CLOB, "Percent Change ( 1990\\u20132000 ) " CLOB)
| How many times was the rank (csa) was (msa 348)? | SELECT COUNT("2000 Population") FROM table_546 WHERE "Rank (CSA)" = '(MSA 348)' | SELECT COUNT("2000 Population") FROM "table_546" WHERE "Rank (CSA)" = '(MSA 348)' | 0.079102 |
CREATE TABLE table_train_17 ("id" NUMBER, "severe_sepsis" BOOLEAN, "mean_arterial_pressure_map" NUMBER, "peripheral_vascular_disease" BOOLEAN, "septic_shock" BOOLEAN, "age" FLOAT, "NOUSE" FLOAT)
| mean arterial pressure < 65 mmhg | SELECT * FROM table_train_17 WHERE mean_arterial_pressure_map < 65 | SELECT * FROM "table_train_17" WHERE "mean_arterial_pressure_map" < 65 | 0.068359 |
CREATE TABLE table_26959 ("Name" CLOB, "Position" CLOB, "Period" CLOB, "Appearances\\u00b9" FLOAT, "Goals\\u00b9" FLOAT, "Nationality\\u00b2" CLOB)
| Name the period for appearances being 380 | SELECT "Period" FROM table_26959 WHERE "Appearances\u00b9" = '380' | SELECT "Period" FROM "table_26959" WHERE "Appearances\u00b9" = '380' | 0.066406 |
CREATE TABLE table_39789 ("Year" FLOAT, "Award" CLOB, "Category" CLOB, "Nominated Work" CLOB, "Result" CLOB)
| What is the name of the award given for the category Mercury Prize? | SELECT "Award" FROM table_39789 WHERE "Category" = 'mercury prize' | SELECT "Award" FROM "table_39789" WHERE "Category" = 'mercury prize' | 0.066406 |
CREATE TABLE table_30605 ("Player" CLOB, "Matches" FLOAT, "Innings" FLOAT, "Runs" FLOAT, "Average" CLOB, "Highest Score" FLOAT, "100s" FLOAT, "50s" FLOAT)
| What is the maximum number of matches in a game? | SELECT MAX("Matches") FROM table_30605 | SELECT MAX("Matches") FROM "table_30605" | 0.039063 |
CREATE TABLE table_39761 ("Office" CLOB, "Democratic ticket" CLOB, "Republican ticket" CLOB, "Law Preservation ticket" CLOB, "Socialist ticket" CLOB, "Socialist Labor ticket" CLOB)
| Who's the Socialist ticket with a Socialist Labor ticket of charles m. carlson? | SELECT "Socialist ticket" FROM table_39761 WHERE "Socialist Labor ticket" = 'charles m. carlson' | SELECT "Socialist ticket" FROM "table_39761" WHERE "Socialist Labor ticket" = 'charles m. carlson' | 0.095703 |
CREATE TABLE table_name_44 (encoding VARCHAR2, tracks__side VARCHAR2, sectors__track VARCHAR2)
| what is the encoding when the tracks/side is 80 and sectors/track is 11? | SELECT encoding FROM table_name_44 WHERE tracks__side = "80" AND sectors__track = "11" | SELECT "encoding" FROM "table_name_44" WHERE "11" = "sectors__track" AND "80" = "tracks__side" | 0.091797 |
CREATE TABLE table_5041 ("Score" FLOAT, "Opposition" CLOB, "Venue" CLOB, "City" CLOB, "Year" FLOAT)
| Which city held the game in Old Trafford before 1907 when the Opposition was sussex? | SELECT "City" FROM table_5041 WHERE "Year" < '1907' AND "Venue" = 'old trafford' AND "Opposition" = 'sussex' | SELECT "City" FROM "table_5041" WHERE "Opposition" = 'sussex' AND "Venue" = 'old trafford' AND "Year" < '1907' | 0.107422 |
CREATE TABLE table_14263158_3 (opponent VARCHAR2, result VARCHAR2)
| Who played in the series that resulted in matches with the following scores: 0 3 0 8 0 1 0 2 0 3 1 4 0 9 0 5? | SELECT opponent FROM table_14263158_3 WHERE result = "0–3 0–8 0–1 0–2 0–3 1–4 0–9 0–5" | SELECT "opponent" FROM "table_14263158_3" WHERE "0–3 0–8 0–1 0–2 0–3 1–4 0–9 0–5" = "result" | 0.089844 |
CREATE TABLE Apartment_Facilities (apt_id NUMBER, facility_code CHAR)
CREATE TABLE View_Unit_Status (apt_id NUMBER, apt_booking_id NUMBER, status_date DATETIME, available_yn BIT)
CREATE TABLE Apartments (apt_id NUMBER, building_id NUMBER, apt_type_code CHAR, apt_number CHAR, bathroom_count NUMBER, bedroom_count NUMBER, room_count CHAR)
CREATE TABLE Guests (guest_id NUMBER, gender_code CHAR, guest_first_name VARCHAR2, guest_last_name VARCHAR2, date_of_birth DATETIME)
CREATE TABLE Apartment_Bookings (apt_booking_id NUMBER, apt_id NUMBER, guest_id NUMBER, booking_status_code CHAR, booking_start_date DATETIME, booking_end_date DATETIME)
CREATE TABLE Apartment_Buildings (building_id NUMBER, building_short_name CHAR, building_full_name VARCHAR2, building_description VARCHAR2, building_address VARCHAR2, building_manager VARCHAR2, building_phone VARCHAR2)
| Return a bar chart on what are the apartment number and the room count of each apartment?, and rank in ascending by the y axis. | SELECT apt_number, room_count FROM Apartments ORDER BY room_count | SELECT "apt_number", "room_count" FROM "Apartments" ORDER BY "room_count" | 0.071289 |
CREATE TABLE table_name_62 (model VARCHAR2, seats VARCHAR2)
| Which Model had 37-78 seats? | SELECT model FROM table_name_62 WHERE seats = "37-78" | SELECT "model" FROM "table_name_62" WHERE "37-78" = "seats" | 0.057617 |
CREATE TABLE storm (Storm_ID NUMBER, Name CLOB, Dates_active CLOB, Max_speed NUMBER, Damage_millions_USD FLOAT, Number_Deaths NUMBER)
CREATE TABLE region (Region_id NUMBER, Region_code CLOB, Region_name CLOB)
CREATE TABLE affected_region (Region_id NUMBER, Storm_ID NUMBER, Number_city_affected FLOAT)
| Show me a bar chart for how many storms occured in each region?, and I want to sort by the names in ascending. | SELECT Region_name, COUNT(*) FROM region AS T1 JOIN affected_region AS T2 ON T1.Region_id = T2.Region_id GROUP BY T1.Region_id ORDER BY Region_name | SELECT "Region_name", COUNT(*) FROM "region" "T1" JOIN "affected_region" "T2" ON "T1"."Region_id" = "T2"."Region_id" GROUP BY "T1"."Region_id" ORDER BY "Region_name" | 0.161133 |
CREATE TABLE table_51717 ("Player" CLOB, "Height" CLOB, "School" CLOB, "Hometown" CLOB, "College" CLOB, "NBA Draft" CLOB)
| What School did Terrence Jones play for? | SELECT "School" FROM table_51717 WHERE "Player" = 'terrence jones' | SELECT "School" FROM "table_51717" WHERE "Player" = 'terrence jones' | 0.066406 |
CREATE TABLE table_13762472_3 (game NUMBER, record VARCHAR2)
| What was the last game where the record was 6-3? | SELECT MAX(game) FROM table_13762472_3 WHERE record = "6-3" | SELECT MAX("game") FROM "table_13762472_3" WHERE "6-3" = "record" | 0.063477 |
CREATE TABLE table_16799784_3 (latitude VARCHAR2, longitude VARCHAR2)
| At a longitude of 321.9e, what is the latitude of the features found? | SELECT latitude FROM table_16799784_3 WHERE longitude = "321.9E" | SELECT "latitude" FROM "table_16799784_3" WHERE "321.9E" = "longitude" | 0.068359 |
CREATE TABLE table_48394 ("Year" FLOAT, "Tournament" CLOB, "Venue" CLOB, "Result" CLOB, "Extra" CLOB)
| What is Tournament, when Result is 2nd, and when Year is 2009? | SELECT "Tournament" FROM table_48394 WHERE "Result" = '2nd' AND "Year" = '2009' | SELECT "Tournament" FROM "table_48394" WHERE "Result" = '2nd' AND "Year" = '2009' | 0.079102 |
CREATE TABLE table_11577996_1 (year VARCHAR2)
| What school took 4th place in 2002? | SELECT 4 AS th_place FROM table_11577996_1 WHERE year = 2002 | SELECT 4 AS "th_place" FROM "table_11577996_1" WHERE "year" = 2002 | 0.064453 |
CREATE TABLE table_20803241_1 (day_pass VARCHAR2, type_of_fare VARCHAR2)
| When mega pass* (senior/disabled) is the type of fare what is the day pass? | SELECT day_pass FROM table_20803241_1 WHERE type_of_fare = "Mega Pass* (Senior/Disabled)" | SELECT "day_pass" FROM "table_20803241_1" WHERE "Mega Pass* (Senior/Disabled)" = "type_of_fare" | 0.092773 |
CREATE TABLE table_name_96 (loss VARCHAR2, record VARCHAR2)
| What was the loss of the Mariners game when they had a record of 22-35? | SELECT loss FROM table_name_96 WHERE record = "22-35" | SELECT "loss" FROM "table_name_96" WHERE "22-35" = "record" | 0.057617 |
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
| For those employees who was hired before 2002-06-21, a line chart shows the change of commission_pct over hire_date, list X-axis in asc order. | SELECT HIRE_DATE, COMMISSION_PCT FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY HIRE_DATE | SELECT "HIRE_DATE", "COMMISSION_PCT" FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' ORDER BY "HIRE_DATE" | 0.104492 |
CREATE TABLE table_18914438_1 (overs VARCHAR2, career VARCHAR2)
| What was the Overs score of the career played from 1993-2007? | SELECT overs FROM table_18914438_1 WHERE career = "1993-2007" | SELECT "overs" FROM "table_18914438_1" WHERE "1993-2007" = "career" | 0.06543 |
CREATE TABLE table_name_50 (drawn VARCHAR2, try_bonus VARCHAR2, lost VARCHAR2)
| When the try bonus is 9 and the lost 4, what is the drawn? | SELECT drawn FROM table_name_50 WHERE try_bonus = "9" AND lost = "4" | SELECT "drawn" FROM "table_name_50" WHERE "4" = "lost" AND "9" = "try_bonus" | 0.074219 |
CREATE TABLE table_54467 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Attendance" CLOB, "Record" CLOB, "Streak" CLOB)
| What was the streak on April 12? | SELECT "Streak" FROM table_54467 WHERE "Date" = 'april 12' | SELECT "Streak" FROM "table_54467" WHERE "Date" = 'april 12' | 0.058594 |
CREATE TABLE table_59769 ("Year" FLOAT, "Pick" CLOB, "Player" CLOB, "Position" CLOB, "Country" CLOB, "Previous team ( League ) " CLOB)
| What is Player, when Pick is '3', when Position is 'Defense', and when Year is less than 2010? | SELECT "Player" FROM table_59769 WHERE "Pick" = '3' AND "Position" = 'defense' AND "Year" < '2010' | SELECT "Player" FROM "table_59769" WHERE "Pick" = '3' AND "Position" = 'defense' AND "Year" < '2010' | 0.097656 |
CREATE TABLE table_name_64 (gender VARCHAR2, full_name VARCHAR2)
| Chukwubuikem Maduabuchi is what gender? | SELECT gender FROM table_name_64 WHERE full_name = "chukwubuikem maduabuchi" | SELECT "gender" FROM "table_name_64" WHERE "chukwubuikem maduabuchi" = "full_name" | 0.080078 |
CREATE TABLE table_203_506 (id NUMBER, "opponent" CLOB, "played" NUMBER, "won" NUMBER, "lost" NUMBER, "drawn" NUMBER, "% won overall" CLOB)
| name two countries that the england women 's rfu have played above thirty games against . | SELECT "opponent" FROM table_203_506 WHERE "played" >= 30 | SELECT "opponent" FROM "table_203_506" WHERE "played" >= 30 | 0.057617 |
CREATE TABLE Products (Code NUMBER, Name VARCHAR2, Price NUMBER, Manufacturer NUMBER)
CREATE TABLE Manufacturers (Code NUMBER, Name VARCHAR2, Headquarter VARCHAR2, Founder VARCHAR2, Revenue FLOAT)
| Draw a bar chart for what are the names and average prices of products for manufacturers whose products cost on average 150 or more?, and list in descending by the Name. | SELECT T2.Name, AVG(T1.Price) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name ORDER BY T2.Name DESC | SELECT "T2"."Name", AVG("T1"."Price") FROM "Products" "T1" JOIN "Manufacturers" "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T2"."Name" ORDER BY "T2"."Name" DESC | 0.164063 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
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)
| provide the number of patients whose year of birth is less than 2097 and lab test abnormal status is delta? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dob_year < "2097" AND lab.flag = "delta" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "delta" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2097" > "demographic"."dob_year" | 0.186523 |
CREATE TABLE table_17636 ("State" CLOB, "Preliminaries" CLOB, "Interview" CLOB, "Swimsuit" CLOB, "Evening Gown" CLOB, "Average" CLOB)
| Which interview score belongs to the state of Nevada contestant? | SELECT "Interview" FROM table_17636 WHERE "State" = 'Nevada' | SELECT "Interview" FROM "table_17636" WHERE "State" = 'Nevada' | 0.060547 |
CREATE TABLE table_2699 ("Constituency" CLOB, "Winner" CLOB, "Party" CLOB, "Margin" FLOAT, "Runner-up a" CLOB, "Party a" CLOB)
| What party is the winner K. Anbazhagan from? | SELECT "Party a" FROM table_2699 WHERE "Winner" = 'K. Anbazhagan' | SELECT "Party a" FROM "table_2699" WHERE "Winner" = 'K. Anbazhagan' | 0.06543 |
CREATE TABLE table_27712702_7 (high_assists VARCHAR2, location_attendance VARCHAR2)
| Who had high assists in the game played at Oklahoma city arena 17,509? | SELECT high_assists FROM table_27712702_7 WHERE location_attendance = "Oklahoma City Arena 17,509" | SELECT "high_assists" FROM "table_27712702_7" WHERE "Oklahoma City Arena 17,509" = "location_attendance" | 0.101563 |
CREATE TABLE table_40106 ("Championship" CLOB, "Current champion ( s ) " CLOB, "Previous champion ( s ) " CLOB, "Date won" CLOB, "Location" CLOB)
| Who is the current champion in the NECW Heavyweight Championship? | SELECT "Current champion(s)" FROM table_40106 WHERE "Championship" = 'necw heavyweight champion' | SELECT "Current champion(s)" FROM "table_40106" WHERE "Championship" = 'necw heavyweight champion' | 0.095703 |
CREATE TABLE table_name_22 (winning_team VARCHAR2, year VARCHAR2)
| Who was the winning team in 2008? | SELECT winning_team FROM table_name_22 WHERE year = 2008 | SELECT "winning_team" FROM "table_name_22" WHERE "year" = 2008 | 0.060547 |
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount 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 CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
| Least used tags over longest time.. | SELECT t.TagName, t.Count, MIN(p.CreationDate) FROM Tags AS t JOIN PostTags AS pt ON t.Id = pt.TagId JOIN Posts AS p ON p.Id = pt.PostId WHERE t.Count <= 3 GROUP BY t.TagName, t.Count ORDER BY MIN(p.CreationDate) LIMIT 100 | SELECT "t"."TagName", "t"."Count", MIN("p"."CreationDate") FROM "Tags" "t" JOIN "PostTags" "pt" ON "pt"."TagId" = "t"."Id" JOIN "Posts" "p" ON "p"."Id" = "pt"."PostId" WHERE "t"."Count" <= 3 GROUP BY "t"."TagName", "t"."Count" ORDER BY MIN("p"."CreationDate") FETCH FIRST 100 ROWS ONLY | 0.27832 |
CREATE TABLE table_4410 ("Outcome" CLOB, "Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Partner" CLOB, "Opponents" CLOB, "Score" CLOB)
| On what Date is Alexandra Fusai a Partner with a Score of 4 6, 6 3, 6 1? | SELECT "Date" FROM table_4410 WHERE "Partner" = 'alexandra fusai' AND "Score" = '4–6, 6–3, 6–1' | SELECT "Date" FROM "table_4410" WHERE "Partner" = 'alexandra fusai' AND "Score" = '4–6, 6–3, 6–1' | 0.094727 |
CREATE TABLE table_58680 ("County" CLOB, "Per capita income" CLOB, "Median household income" CLOB, "Median family income" CLOB, "Population" FLOAT, "Number of households" FLOAT)
| What is the total number of households with a population larger than 25,692 and a median household income of $51,914? | SELECT COUNT("Number of households") FROM table_58680 WHERE "Population" > '25,692' AND "Median household income" = '$51,914' | SELECT COUNT("Number of households") FROM "table_58680" WHERE "Median household income" = '$51,914' AND "Population" > '25,692' | 0.124023 |
CREATE TABLE table_name_50 (class VARCHAR2, identifier VARCHAR2)
| Which class has an identifier of CBUA-FM? | SELECT class FROM table_name_50 WHERE identifier = "cbua-fm" | SELECT "class" FROM "table_name_50" WHERE "cbua-fm" = "identifier" | 0.064453 |
CREATE TABLE event (ID NUMBER, Name CLOB, Stadium_ID NUMBER, Year CLOB)
CREATE TABLE stadium (ID NUMBER, name CLOB, Capacity NUMBER, City CLOB, Country CLOB, Opening_year NUMBER)
CREATE TABLE swimmer (ID NUMBER, name CLOB, Nationality CLOB, meter_100 FLOAT, meter_200 CLOB, meter_300 CLOB, meter_400 CLOB, meter_500 CLOB, meter_600 CLOB, meter_700 CLOB, Time CLOB)
CREATE TABLE record (ID NUMBER, Result CLOB, Swimmer_ID NUMBER, Event_ID NUMBER)
| Find Time and ID , and visualize them by a bar chart, sort by the names in desc. | SELECT Time, ID FROM swimmer ORDER BY Time DESC | SELECT "Time", "ID" FROM "swimmer" ORDER BY "Time" DESC | 0.053711 |
CREATE TABLE table_35238 ("Firm" CLOB, "Revenues" CLOB, "Employees" FLOAT, "Fiscal Year" FLOAT, "Headquarters" CLOB)
| What is the latest Fiscal Year with Revenues of $4.3 billion, and more than 85,335 employees? | SELECT MAX("Fiscal Year") FROM table_35238 WHERE "Revenues" = '$4.3 billion' AND "Employees" > '85,335' | SELECT MAX("Fiscal Year") FROM "table_35238" WHERE "Employees" > '85,335' AND "Revenues" = '$4.3 billion' | 0.102539 |
CREATE TABLE table_name_20 (result VARCHAR2, opponent VARCHAR2)
| What was the results against the Philadelphia Eagles? | SELECT result FROM table_name_20 WHERE opponent = "philadelphia eagles" | SELECT "result" FROM "table_name_20" WHERE "opponent" = "philadelphia eagles" | 0.075195 |
CREATE TABLE table_name_72 (venue VARCHAR2, against VARCHAR2)
| In which venue was there an against of 11? | SELECT venue FROM table_name_72 WHERE against = 11 | SELECT "venue" FROM "table_name_72" WHERE "against" = 11 | 0.054688 |
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 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 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 FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE 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 PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskTypes (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 ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
| Posts with Favorites and 4 Delete Votes this Month. | SELECT V.PostId, P.OwnerUserId AS "user_link", P.Title, P.Body FROM Votes AS V, Posts AS P WHERE V.VoteTypeId = 10 AND DATEDIFF(month, V.CreationDate, GETDATE()) < 1 AND P.Id = V.PostId AND NOT P.FavoriteCount IS NULL AND (SELECT COUNT(V2.PostId) FROM Votes AS V2 WHERE V.VoteTypeId = 10 AND V2.PostId = P.Id) = 4 GROUP BY V.PostId, P.OwnerUserId, P.Title, P.Body | WITH "_u_0" AS (SELECT COUNT("V2"."PostId"), 10 AS "_u_1" FROM "Votes" "V2" GROUP BY 10, "V2"."PostId") SELECT "V"."PostId", "P"."OwnerUserId" AS "user_link", "P"."Title", "P"."Body" FROM "Votes" "V" JOIN "Posts" "P" ON "P"."Id" = "V"."PostId" AND NOT "P"."FavoriteCount" IS NULL LEFT JOIN "_u_0" "_u_0" ON "P"."Id" = "_u_0"."" AND "V"."VoteTypeId" = "_u_0"."_u_1" WHERE "V"."VoteTypeId" = 10 AND COALESCE("_u_0"."", "V2"."PostId") = 4 AND DATEDIFF(CAST("month" AS DATETIME), CAST("V"."CreationDate" AS DATETIME), GETDATE()) < 1 GROUP BY "V"."PostId", "P"."OwnerUserId", "P"."Title", "P"."Body" | 0.580078 |
CREATE TABLE table_6014 ("Type" CLOB, "wheelbase" CLOB, "M39 series" CLOB, "M809 series" CLOB, "M939 series" CLOB)
| Name the type with M809 series of m814 | SELECT "Type" FROM table_6014 WHERE "M809 series" = 'm814' | SELECT "Type" FROM "table_6014" WHERE "M809 series" = 'm814' | 0.058594 |
CREATE TABLE table_28962227_1 (finale VARCHAR2, runners_up VARCHAR2)
| What is the date of the finale where Holly Bell was runner-up? | SELECT finale FROM table_28962227_1 WHERE runners_up = "Holly Bell" | SELECT "finale" FROM "table_28962227_1" WHERE "Holly Bell" = "runners_up" | 0.071289 |
CREATE TABLE table_name_76 (season VARCHAR2, opponent VARCHAR2)
| What is Season, when Opponent is source: . last updated: 28 june 2007.? | SELECT season FROM table_name_76 WHERE opponent = "source: . last updated: 28 june 2007." | SELECT "season" FROM "table_name_76" WHERE "opponent" = "source: . last updated: 28 june 2007." | 0.092773 |
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 male patients were given the drug xopenex neb? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.gender = "M" AND prescriptions.drug = "Xopenex Neb" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Xopenex Neb" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "M" = "demographic"."gender" | 0.216797 |
CREATE TABLE table_name_1 (coach VARCHAR2, captain VARCHAR2)
| Which coach works with Robert Harvey? | SELECT coach FROM table_name_1 WHERE captain = "robert harvey" | SELECT "coach" FROM "table_name_1" WHERE "captain" = "robert harvey" | 0.066406 |
CREATE TABLE table_2140071_10 (season VARCHAR2, premier_date VARCHAR2)
| Name the season for august 16, 2010 | SELECT season FROM table_2140071_10 WHERE premier_date = "August 16, 2010" | SELECT "season" FROM "table_2140071_10" WHERE "August 16, 2010" = "premier_date" | 0.078125 |
CREATE TABLE table_21673 ("SNO" FLOAT, "College code" CLOB, "Faculty name" CLOB, "Designation" CLOB, "Qualification" CLOB, "Department" CLOB, "Experience" CLOB)
| How many faculty members have 20 years of experience? | SELECT COUNT("Designation") FROM table_21673 WHERE "Experience" = '20 years' | SELECT COUNT("Designation") FROM "table_21673" WHERE "Experience" = '20 years' | 0.076172 |
CREATE TABLE table_79165 ("Year" FLOAT, "Date" CLOB, "Home Team" CLOB, "Result" CLOB, "Visiting Team" CLOB, "Venue" CLOB, "Attendance" FLOAT)
| What was the total attendance for a result of 7-23 before 1960? | SELECT SUM("Attendance") FROM table_79165 WHERE "Result" = '7-23' AND "Year" < '1960' | SELECT SUM("Attendance") FROM "table_79165" WHERE "Result" = '7-23' AND "Year" < '1960' | 0.084961 |
CREATE TABLE table_name_2 (outcome VARCHAR2, score VARCHAR2)
| What is the Outcome of the match with a Score of 6 3, 6 4? | SELECT outcome FROM table_name_2 WHERE score = "6–3, 6–4" | SELECT "outcome" FROM "table_name_2" WHERE "6–3, 6–4" = "score" | 0.061523 |
CREATE TABLE Services (Service_ID NUMBER, Service_Type_Code CHAR)
CREATE TABLE Participants_in_Events (Event_ID NUMBER, Participant_ID NUMBER)
CREATE TABLE Events (Event_ID NUMBER, Service_ID NUMBER, Event_Details VARCHAR2)
CREATE TABLE Participants (Participant_ID NUMBER, Participant_Type_Code CHAR, Participant_Details VARCHAR2)
| Give me a bar chart to show the number of event details of events that have more than one participant. | SELECT Event_Details, COUNT(Event_Details) FROM Events AS T1 JOIN Participants_in_Events AS T2 ON T1.Event_ID = T2.Event_ID GROUP BY Event_Details | SELECT "Event_Details", COUNT("Event_Details") FROM "Events" "T1" JOIN "Participants_in_Events" "T2" ON "T1"."Event_ID" = "T2"."Event_ID" GROUP BY "Event_Details" | 0.158203 |
CREATE TABLE table_name_52 (home VARCHAR2, geust VARCHAR2)
| What is the home of fc st. gallen (asl) geust? | SELECT home FROM table_name_52 WHERE geust = "fc st. gallen (asl)" | SELECT "home" FROM "table_name_52" WHERE "fc st. gallen (asl)" = "geust" | 0.070313 |
CREATE TABLE table_50947 ("Season" CLOB, "Series" CLOB, "Races" FLOAT, "Wins" FLOAT, "Poles" FLOAT, "F/Laps" FLOAT, "Podiums" FLOAT, "Points" FLOAT, "Position" CLOB)
| What is the lowest Wins, when Season is 2011, when Podiums is 1, and when Poles is less than 0? | SELECT MIN("Wins") FROM table_50947 WHERE "Season" = '2011' AND "Podiums" = '1' AND "Poles" < '0' | SELECT MIN("Wins") FROM "table_50947" WHERE "Podiums" = '1' AND "Poles" < '0' AND "Season" = '2011' | 0.09668 |
CREATE TABLE candidate (Candidate_ID NUMBER, People_ID NUMBER, Poll_Source CLOB, Date CLOB, Support_rate FLOAT, Consider_rate FLOAT, Oppose_rate FLOAT, Unsure_rate FLOAT)
CREATE TABLE people (People_ID NUMBER, Sex CLOB, Name CLOB, Date_of_Birth CLOB, Height FLOAT, Weight FLOAT)
| Bar chart x axis sex y axis how many sex | SELECT Sex, COUNT(Sex) FROM people GROUP BY Sex | SELECT "Sex", COUNT("Sex") FROM "people" GROUP BY "Sex" | 0.053711 |
CREATE TABLE STUDENT (STU_NUM NUMBER, STU_LNAME VARCHAR2, STU_FNAME VARCHAR2, STU_INIT VARCHAR2, STU_DOB DATETIME, STU_HRS NUMBER, STU_CLASS VARCHAR2, STU_GPA FLOAT, STU_TRANSFER NUMBER, DEPT_CODE VARCHAR2, STU_PHONE VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR2, DEPT_NAME VARCHAR2, SCHOOL_CODE VARCHAR2, EMP_NUM NUMBER, DEPT_ADDRESS VARCHAR2, DEPT_EXTENSION VARCHAR2)
CREATE TABLE CLASS (CLASS_CODE VARCHAR2, CRS_CODE VARCHAR2, CLASS_SECTION VARCHAR2, CLASS_TIME VARCHAR2, CLASS_ROOM VARCHAR2, PROF_NUM NUMBER)
CREATE TABLE EMPLOYEE (EMP_NUM NUMBER, EMP_LNAME VARCHAR2, EMP_FNAME VARCHAR2, EMP_INITIAL VARCHAR2, EMP_JOBCODE VARCHAR2, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
CREATE TABLE COURSE (CRS_CODE VARCHAR2, DEPT_CODE VARCHAR2, CRS_DESCRIPTION VARCHAR2, CRS_CREDIT FLOAT)
CREATE TABLE PROFESSOR (EMP_NUM NUMBER, DEPT_CODE VARCHAR2, PROF_OFFICE VARCHAR2, PROF_EXTENSION VARCHAR2, PROF_HIGH_DEGREE VARCHAR2)
CREATE TABLE ENROLL (CLASS_CODE VARCHAR2, STU_NUM NUMBER, ENROLL_GRADE VARCHAR2)
| Show the number of courses each instructor taught with a bar chart grouping by course code. | SELECT CRS_CODE, COUNT(CRS_CODE) FROM CLASS AS T1 JOIN EMPLOYEE AS T2 ON T1.PROF_NUM = T2.EMP_NUM GROUP BY CRS_CODE | SELECT "CRS_CODE", COUNT("CRS_CODE") FROM "CLASS" "T1" JOIN "EMPLOYEE" "T2" ON "T1"."PROF_NUM" = "T2"."EMP_NUM" GROUP BY "CRS_CODE" | 0.12793 |
CREATE TABLE table_55658 ("Player" CLOB, "Pos." CLOB, "From" FLOAT, "School/Country" CLOB, "Rebs" FLOAT, "Asts" FLOAT)
| What's the pos for an asts less than 117? | SELECT "Pos." FROM table_55658 WHERE "Asts" < '117' | SELECT "Pos." FROM "table_55658" WHERE "Asts" < '117' | 0.051758 |
CREATE TABLE table_24101118_1 (processor VARCHAR2, model__list_ VARCHAR2)
| what is the name of the processor for model x33x0? | SELECT processor FROM table_24101118_1 WHERE model__list_ = "X33x0" | SELECT "processor" FROM "table_24101118_1" WHERE "X33x0" = "model__list_" | 0.071289 |
CREATE TABLE table_21589 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Series" CLOB)
| List the all the scores where the high assis is b. shaw (5) | SELECT "Score" FROM table_21589 WHERE "High assists" = 'B. Shaw (5)' | SELECT "Score" FROM "table_21589" WHERE "High assists" = 'B. Shaw (5)' | 0.068359 |
CREATE TABLE table_27756314_7 (location_attendance VARCHAR2, game VARCHAR2)
| where was the location that had game 19? | SELECT location_attendance FROM table_27756314_7 WHERE game = 19 | SELECT "location_attendance" FROM "table_27756314_7" WHERE "game" = 19 | 0.068359 |
CREATE TABLE table_203_447 (id NUMBER, "constituency" NUMBER, "region" CLOB, "name" CLOB, "party" CLOB, "last elected" NUMBER)
| what is the total number of constituencies ? | SELECT COUNT(DISTINCT "constituency") FROM table_203_447 | SELECT COUNT(DISTINCT "constituency") FROM "table_203_447" | 0.056641 |
CREATE TABLE table_484 ("Season #" FLOAT, "Series #" FLOAT, "Title" CLOB, "Canadian airdate" CLOB, "U.S. airdate" CLOB, "Production code" FLOAT)
| What is the maximum season # with a u.s. air date is may 1, 2009 | SELECT MAX("Season #") FROM table_484 WHERE "U.S. airdate" = 'May 1, 2009' | SELECT MAX("Season #") FROM "table_484" WHERE "U.S. airdate" = 'May 1, 2009' | 0.074219 |
CREATE TABLE table_name_41 (bulgarian_commander VARCHAR2, battle VARCHAR2, date VARCHAR2)
| What is the Bulgarian Commander in Autumn 1040 at the Battle of Thessalonica? | SELECT bulgarian_commander FROM table_name_41 WHERE battle = "battle of thessalonica" AND date = "autumn 1040" | SELECT "bulgarian_commander" FROM "table_name_41" WHERE "autumn 1040" = "date" AND "battle of thessalonica" = "battle" | 0.115234 |
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense 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 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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
| By City in Reputation Range. | SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS "#", Id AS "user_link", Location, Age, LastAccessDate, Reputation FROM Users WHERE LOWER(Location) LIKE LOWER('%##Country##%') AND Reputation > '##reputation:int##' ORDER BY Reputation DESC | SELECT ROW_NUMBER() OVER (ORDER BY "Reputation" DESC) AS "#", "Id" AS "user_link", "Location", "Age", "LastAccessDate", "Reputation" FROM "Users" WHERE "Reputation" > '##reputation:int##' AND LOWER("Location") LIKE LOWER('%##Country##%') ORDER BY "Reputation" DESC | 0.257813 |
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 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 code_description (code VARCHAR2, description CLOB)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE 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 city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
| can you please show me the flights from PITTSBURGH to BOSTON on wednesday of next week that arrive before 1200 | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE ((date_day.day_number = 23 AND date_day.month_number = 4 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.arrival_time < 1200 AND flight.flight_days = days.days_code) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BOSTON' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PITTSBURGH' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 23 AND "date_day"."month_number" = 4 AND "date_day"."year" = 1991 JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'PITTSBURGH' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" AND "flight"."arrival_time" < 1200 JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'BOSTON' | 0.729492 |
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
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 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_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 d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE 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 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)
| what is the two year survival rate of emphysema nec patients who were prescribed lansoprazole oral disintegrating tab? | SELECT SUM(CASE WHEN patients.dod IS NULL THEN 1 WHEN STRFTIME('%j', patients.dod) - STRFTIME('%j', t4.charttime) > 2 * 365 THEN 1 ELSE 0 END) * 100 / COUNT(*) FROM (SELECT t2.subject_id, t2.charttime FROM (SELECT t1.subject_id, t1.charttime FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'emphysema nec') GROUP BY admissions.subject_id HAVING MIN(diagnoses_icd.charttime) = diagnoses_icd.charttime) AS t1 WHERE STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', t1.charttime) > 2 * 365) AS t2 JOIN (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'lansoprazole oral disintegrating tab') AS t3 ON t2.subject_id = t3.subject_id WHERE t2.charttime < t3.startdate) AS t4 JOIN patients ON t4.subject_id = patients.subject_id | WITH "t1" AS (SELECT "admissions"."subject_id", "diagnoses_icd"."charttime" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'emphysema nec' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" GROUP BY "admissions"."subject_id" HAVING "diagnoses_icd"."charttime" = MIN("diagnoses_icd"."charttime")), "t3" AS (SELECT "admissions"."subject_id", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" = 'lansoprazole oral disintegrating tab') SELECT SUM(CASE WHEN "patients"."dod" IS NULL THEN 1 WHEN STRFTIME('%j', "patients"."dod") - STRFTIME('%j', "t1"."charttime") > 730 THEN 1 ELSE 0 END) * 100 / NULLIF(COUNT(*), 0) FROM "t1" "t1" JOIN "t3" "t3" ON "t1"."charttime" < "t3"."startdate" AND "t1"."subject_id" = "t3"."subject_id" JOIN "patients" ON "patients"."subject_id" = "t1"."subject_id" WHERE STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "t1"."charttime") > 730 | 1.055664 |
CREATE TABLE table_name_21 (week VARCHAR2, opponent VARCHAR2)
| What week number had the New York Giants as opponent? | SELECT COUNT(week) FROM table_name_21 WHERE opponent = "new york giants" | SELECT COUNT("week") FROM "table_name_21" WHERE "new york giants" = "opponent" | 0.076172 |
CREATE TABLE producer (pid NUMBER, gender CLOB, name CLOB, nationality CLOB, birth_city CLOB, birth_year NUMBER)
CREATE TABLE cast (id NUMBER, msid NUMBER, aid NUMBER, role CLOB)
CREATE TABLE writer (wid NUMBER, gender CLOB, name CLOB, nationality CLOB, birth_city CLOB, birth_year NUMBER)
CREATE TABLE directed_by (id NUMBER, msid NUMBER, did NUMBER)
CREATE TABLE movie (mid NUMBER, title CLOB, release_year NUMBER, title_aka CLOB, budget CLOB)
CREATE TABLE actor (aid NUMBER, gender CLOB, name CLOB, nationality CLOB, birth_city CLOB, birth_year NUMBER)
CREATE TABLE genre (gid NUMBER, genre CLOB)
CREATE TABLE tv_series (sid NUMBER, title CLOB, release_year NUMBER, num_of_seasons NUMBER, num_of_episodes NUMBER, title_aka CLOB, budget CLOB)
CREATE TABLE written_by (id NUMBER, msid NUMBER, wid NUMBER)
CREATE TABLE director (did NUMBER, gender CLOB, name CLOB, nationality CLOB, birth_city CLOB, birth_year NUMBER)
CREATE TABLE company (id NUMBER, name CLOB, country_code VARCHAR2)
CREATE TABLE keyword (id NUMBER, keyword CLOB)
CREATE TABLE classification (id NUMBER, msid NUMBER, gid NUMBER)
CREATE TABLE made_by (id NUMBER, msid NUMBER, pid NUMBER)
CREATE TABLE tags (id NUMBER, msid NUMBER, kid NUMBER)
CREATE TABLE copyright (id NUMBER, msid NUMBER, cid NUMBER)
| find all films in which ' Rowan Atkinson ' acted as ' Mr. Bean | SELECT movie.title FROM actor, cast, movie WHERE actor.name = 'Rowan Atkinson' AND cast.aid = actor.aid AND cast.role = 'Mr. Bean' AND movie.mid = cast.msid | SELECT "movie"."title" FROM "actor" JOIN "cast" ON "actor"."aid" = "cast"."aid" AND "cast"."role" = 'Mr. Bean' JOIN "movie" ON "cast"."msid" = "movie"."mid" WHERE "actor"."name" = 'Rowan Atkinson' | 0.191406 |
CREATE TABLE table_name_60 (call_sign VARCHAR2, erp_w VARCHAR2, city_of_license VARCHAR2)
| What is the call sign of the translator with an ERP W greater than 38 and a city license from Great Falls, Montana? | SELECT call_sign FROM table_name_60 WHERE erp_w > 38 AND city_of_license = "great falls, montana" | SELECT "call_sign" FROM "table_name_60" WHERE "city_of_license" = "great falls, montana" AND "erp_w" > 38 | 0.102539 |
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)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
| provide the number of patients who underwent procedure on single vessel and had inpatient hospital discharge. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.discharge_location = "DISC-TRAN CANCER/CHLDRN H" AND procedures.short_title = "Procedure-one vessel" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Procedure-one vessel" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "DISC-TRAN CANCER/CHLDRN H" = "demographic"."discharge_location" | 0.258789 |
CREATE TABLE city (city VARCHAR2, GDP VARCHAR2)
| Which city has the lowest GDP? Please list the city name and its GDP. | SELECT city, GDP FROM city ORDER BY GDP LIMIT 1 | SELECT "city", "GDP" FROM "city" ORDER BY "GDP" FETCH FIRST 1 ROWS ONLY | 0.069336 |
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
| Is there any section after 10:00 for AAS 202 ? | SELECT DISTINCT course_offering.end_time, course_offering.section_number, course_offering.start_time FROM course, course_offering, semester WHERE course_offering.start_time > '10:00' AND course.course_id = course_offering.course_id AND course.department = 'AAS' AND course.number = 202 AND semester.semester = 'WN' AND semester.semester_id = course_offering.semester AND semester.year = 2016 | SELECT DISTINCT "course_offering"."end_time", "course_offering"."section_number", "course_offering"."start_time" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" AND "course_offering"."start_time" > '10:00' JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'WN' AND "semester"."year" = 2016 WHERE "course"."department" = 'AAS' AND "course"."number" = 202 | 0.44043 |
CREATE TABLE table_48989 ("Player" CLOB, "Country" CLOB, "Year ( s ) won" CLOB, "Total" FLOAT, "To par" FLOAT)
| Can you tell me the average Total that has the To par of 15? | SELECT AVG("Total") FROM table_48989 WHERE "To par" = '15' | SELECT AVG("Total") FROM "table_48989" WHERE "To par" = '15' | 0.058594 |
CREATE TABLE table_name_21 (draws VARCHAR2, against VARCHAR2, byes VARCHAR2)
| What is the total number of Draws, when Against is '1134', and when Byes is less than 2? | SELECT COUNT(draws) FROM table_name_21 WHERE against = 1134 AND byes < 2 | SELECT COUNT("draws") FROM "table_name_21" WHERE "against" = 1134 AND "byes" < 2 | 0.078125 |
CREATE TABLE table_2850912_5 (college_junior_club_team VARCHAR2, position VARCHAR2, nhl_team VARCHAR2)
| What college/junior/club team played right wing position with NHL team Chicago Black Hawks? | SELECT college_junior_club_team FROM table_2850912_5 WHERE position = "Right Wing" AND nhl_team = "Chicago Black Hawks" | SELECT "college_junior_club_team" FROM "table_2850912_5" WHERE "Chicago Black Hawks" = "nhl_team" AND "Right Wing" = "position" | 0.124023 |
CREATE TABLE table_10708 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| Who was the away team at Victoria Park? | SELECT "Away team" FROM table_10708 WHERE "Venue" = 'victoria park' | SELECT "Away team" FROM "table_10708" WHERE "Venue" = 'victoria park' | 0.067383 |
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