schema
stringlengths 29
5.42k
| question
stringlengths 0
752
| rejected
stringlengths 2
4.44k
| chosen
stringlengths 4
8.94k
| weight
float64 0
8.73
|
---|---|---|---|---|
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 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)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
| For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, show me about the distribution of job_id and the sum of salary , and group by attribute job_id in a bar chart, list X in asc order. | SELECT JOB_ID, SUM(SALARY) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 GROUP BY JOB_ID ORDER BY JOB_ID | SELECT "JOB_ID", SUM("SALARY") FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) GROUP BY "JOB_ID" ORDER BY "JOB_ID" | 0.234375 |
CREATE TABLE table_57838 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What was the home score when the away team scored 16.11 (107)? | SELECT "Home team" FROM table_57838 WHERE "Away team score" = '16.11 (107)' | SELECT "Home team" FROM "table_57838" WHERE "Away team score" = '16.11 (107)' | 0.075195 |
CREATE TABLE table_52881 ("Nationality" CLOB, "Metric" CLOB, "Imperial" CLOB, "Name" CLOB, "Lifespan" CLOB)
| what is the lifespan when the imperial height is 7ft 8 in and the nationality is fiji? | SELECT "Lifespan" FROM table_52881 WHERE "Imperial" = '7ft 8 in' AND "Nationality" = 'fiji' | SELECT "Lifespan" FROM "table_52881" WHERE "Imperial" = '7ft 8 in' AND "Nationality" = 'fiji' | 0.09082 |
CREATE TABLE Rating (rID NUMBER, mID NUMBER, stars NUMBER, ratingDate DATE)
CREATE TABLE Reviewer (rID NUMBER, name CLOB)
CREATE TABLE Movie (mID NUMBER, title CLOB, year NUMBER, director CLOB)
| A bar chart about what is the average rating star for each reviewer? | SELECT name, AVG(T1.stars) FROM Rating AS T1 JOIN Reviewer AS T2 ON T1.rID = T2.rID GROUP BY T2.name | SELECT "name", AVG("T1"."stars") FROM "Rating" "T1" JOIN "Reviewer" "T2" ON "T1"."rID" = "T2"."rID" GROUP BY "T2"."name" | 0.117188 |
CREATE TABLE table_32326 ("Year" CLOB, "Name" CLOB, "Date" CLOB, "Stages" CLOB, "Distance" CLOB, "Winner" CLOB, "Time" CLOB)
| How many stages are in a distance of 2,192 km? | SELECT "Stages" FROM table_32326 WHERE "Distance" = '2,192 km' | SELECT "Stages" FROM "table_32326" WHERE "Distance" = '2,192 km' | 0.0625 |
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 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 Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId 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 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 PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment 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 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 PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
| Number of users per tag(s). | SELECT COUNT(DISTINCT Users.Id) FROM Users JOIN Posts ON (Users.Id = Posts.OwnerUserId) JOIN PostTags ON (Posts.Id = PostTags.PostId OR Posts.ParentId = PostTags.PostId) WHERE PostTags.TagId IN (SELECT Id FROM Tags WHERE TagName IN ('##TagNames##')) | SELECT COUNT(DISTINCT "Users"."Id") FROM "Users" JOIN "Posts" ON "Posts"."OwnerUserId" = "Users"."Id" JOIN "PostTags" ON ("PostTags"."PostId" = "Posts"."Id" OR "PostTags"."PostId" = "Posts"."ParentId") AND "PostTags"."TagId" IN (SELECT "Id" FROM "Tags" WHERE "TagName" IN ('##TagNames##')) | 0.282227 |
CREATE TABLE table_name_95 (meet VARCHAR2, time VARCHAR2)
| Which Meet has a Time of 3:50.65? | SELECT meet FROM table_name_95 WHERE time = "3:50.65" | SELECT "meet" FROM "table_name_95" WHERE "3:50.65" = "time" | 0.057617 |
CREATE TABLE table_name_94 (date VARCHAR2, tournament VARCHAR2)
| What is the date of the Outback Steakhouse Pro-Am Tournament? | SELECT date FROM table_name_94 WHERE tournament = "outback steakhouse pro-am" | SELECT "date" FROM "table_name_94" WHERE "outback steakhouse pro-am" = "tournament" | 0.081055 |
CREATE TABLE table_name_38 (version NUMBER, release_date VARCHAR2)
| What is the highest Version, when Release Date is '2011-04-01'? | SELECT MAX(version) FROM table_name_38 WHERE release_date = "2011-04-01" | SELECT MAX("version") FROM "table_name_38" WHERE "2011-04-01" = "release_date" | 0.076172 |
CREATE TABLE table_name_94 (constituency_number VARCHAR2, reserved_for___sc___st__none_ VARCHAR2, district VARCHAR2)
| What's the constituency number of the Seoni district and has none reserved? | SELECT constituency_number FROM table_name_94 WHERE reserved_for___sc___st__none_ = "none" AND district = "seoni" | SELECT "constituency_number" FROM "table_name_94" WHERE "district" = "seoni" AND "none" = "reserved_for___sc___st__none_" | 0.118164 |
CREATE TABLE table_name_99 (format VARCHAR2, region VARCHAR2)
| Tell me the format for european union | SELECT format FROM table_name_99 WHERE region = "european union" | SELECT "format" FROM "table_name_99" WHERE "european union" = "region" | 0.068359 |
CREATE TABLE table_203_410 (id NUMBER, "game" NUMBER, "date" CLOB, "opponent" CLOB, "location" CLOB, "score" CLOB, "attendance" NUMBER, "record" CLOB)
| who was the opponent after the toronto rock ? | SELECT "opponent" FROM table_203_410 WHERE "date" > (SELECT "date" FROM table_203_410 WHERE "opponent" = 'toronto rock') ORDER BY "date" LIMIT 1 | SELECT "opponent" FROM "table_203_410" WHERE "date" > (SELECT "date" FROM "table_203_410" WHERE "opponent" = 'toronto rock') ORDER BY "date" FETCH FIRST 1 ROWS ONLY | 0.160156 |
CREATE TABLE table_54731 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| Which Home team has a Venue of victoria park? | SELECT "Home team" FROM table_54731 WHERE "Venue" = 'victoria park' | SELECT "Home team" FROM "table_54731" WHERE "Venue" = 'victoria park' | 0.067383 |
CREATE TABLE table_204_90 (id NUMBER, "rank" NUMBER, "name" CLOB, "nationality" CLOB, "time" CLOB)
| how many medalists came from kenya ? | SELECT COUNT("name") FROM table_204_90 WHERE "nationality" = 'kenya' | SELECT COUNT("name") FROM "table_204_90" WHERE "nationality" = 'kenya' | 0.068359 |
CREATE TABLE table_name_99 (time_retired VARCHAR2, constructor VARCHAR2, laps VARCHAR2)
| What is the Time/Retired when lotus - ford was constructor and the laps were less than 17? | SELECT time_retired FROM table_name_99 WHERE constructor = "lotus - ford" AND laps < 17 | SELECT "time_retired" FROM "table_name_99" WHERE "constructor" = "lotus - ford" AND "laps" < 17 | 0.092773 |
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 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)
| provide the number of patients whose age is less than 54 and procedure icd9 code is 3142? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.age < "54" AND procedures.icd9_code = "3142" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "3142" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "54" > "demographic"."age" | 0.204102 |
CREATE TABLE table_204_626 (id NUMBER, "image" NUMBER, "name" CLOB, "birth date" CLOB, "death date" CLOB, "brief biography" CLOB)
| what is the total number of children listed ? | SELECT COUNT("name") FROM table_204_626 | SELECT COUNT("name") FROM "table_204_626" | 0.040039 |
CREATE TABLE table_2134521_1 (pop__2006_ NUMBER)
| What is the largest population count in any of the census divisions in 2006? | SELECT MAX(pop__2006_) FROM table_2134521_1 | SELECT MAX("pop__2006_") FROM "table_2134521_1" | 0.045898 |
CREATE TABLE table_28028 ("January\\u2013September 2013" CLOB, "Birth/2013" FLOAT, "Birth/2012" FLOAT, "Death/2013" FLOAT, "Death/2012" CLOB)
| What are the death/2012 number when death/2013 is 140 and January September 2013 is Moscow Oblast? | SELECT "Death/2012" FROM table_28028 WHERE "Death/2013" = '140' AND "January\u2013September 2013" = 'Moscow Oblast' | SELECT "Death/2012" FROM "table_28028" WHERE "Death/2013" = '140' AND "January\u2013September 2013" = 'Moscow Oblast' | 0.114258 |
CREATE TABLE table_25861 ("Outcome" CLOB, "Year" FLOAT, "Championship" CLOB, "Surface" CLOB, "Opponent in the final" CLOB, "Score in the final" CLOB)
| Name the opponent in the final for 3 6, 1 6 | SELECT "Opponent in the final" FROM table_25861 WHERE "Score in the final" = '3β6, 1β6' | SELECT "Opponent in the final" FROM "table_25861" WHERE "Score in the final" = '3β6, 1β6' | 0.086914 |
CREATE TABLE table_20973 ("Runs" CLOB, "Wicket" CLOB, "Batting partners" CLOB, "Batting team" CLOB, "Fielding team" CLOB, "Venue" CLOB, "Season" CLOB)
| What batting partners were the most successful in 2004? | SELECT "Batting partners" FROM table_20973 WHERE "Season" = '2004' | SELECT "Batting partners" FROM "table_20973" WHERE "Season" = '2004' | 0.066406 |
CREATE TABLE table_30099 ("Branding" CLOB, "Callsign" CLOB, "Frequency" CLOB, "Power kW" CLOB, "Coverage" CLOB)
| Name the callsign for davao mindanao region | SELECT "Callsign" FROM table_30099 WHERE "Coverage" = 'Davao Mindanao Region' | SELECT "Callsign" FROM "table_30099" WHERE "Coverage" = 'Davao Mindanao Region' | 0.077148 |
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 PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE ReviewTaskStates (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 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 FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId 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 PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE 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 ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress 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 CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
| Search Recent Comments by User ID and Text. Search for comments after a given date using a user ID and LIKE string | SELECT PostId AS "post_link", * FROM Comments WHERE UserId = '##UserId##' AND CreationDate >= '##DateAsString:string##' AND Text LIKE '##TextInLikeForm:string##' | SELECT "PostId" AS "post_link", * FROM "Comments" WHERE "CreationDate" >= '##DateAsString:string##' AND "Text" LIKE '##TextInLikeForm:string##' AND "UserId" = '##UserId##' | 0.166992 |
CREATE TABLE table_name_60 (player VARCHAR2, to_par VARCHAR2, score VARCHAR2)
| What is the Player that has a To standard of 1, and a Score of 71-68-76=215? | SELECT player FROM table_name_60 WHERE to_par = "β1" AND score = 71 - 68 - 76 = 215 | SELECT "player" FROM "table_name_60" WHERE "score" = FALSE AND "to_par" = "β1" | 0.076172 |
CREATE TABLE table_69943 ("Year" FLOAT, "Entrant" CLOB, "Chassis" CLOB, "Engine" CLOB, "Points" FLOAT)
| What engine did Scuderia Ambrosiana with fewer than 4 points have? | SELECT "Engine" FROM table_69943 WHERE "Entrant" = 'scuderia ambrosiana' AND "Points" < '4' | SELECT "Engine" FROM "table_69943" WHERE "Entrant" = 'scuderia ambrosiana' AND "Points" < '4' | 0.09082 |
CREATE TABLE table_name_19 (country VARCHAR2, supermarkets VARCHAR2)
| What country has 50 supermarkets? | SELECT country FROM table_name_19 WHERE supermarkets = "50" | SELECT "country" FROM "table_name_19" WHERE "50" = "supermarkets" | 0.063477 |
CREATE TABLE domain_conference (cid NUMBER, did NUMBER)
CREATE TABLE author (aid NUMBER, homepage VARCHAR2, name VARCHAR2, oid NUMBER)
CREATE TABLE domain_publication (did NUMBER, pid NUMBER)
CREATE TABLE cite (cited NUMBER, citing NUMBER)
CREATE TABLE organization (continent VARCHAR2, homepage VARCHAR2, name VARCHAR2, oid NUMBER)
CREATE TABLE keyword (keyword VARCHAR2, kid NUMBER)
CREATE TABLE journal (homepage VARCHAR2, jid NUMBER, name VARCHAR2)
CREATE TABLE writes (aid NUMBER, pid NUMBER)
CREATE TABLE domain_keyword (did NUMBER, kid NUMBER)
CREATE TABLE conference (cid NUMBER, homepage VARCHAR2, name VARCHAR2)
CREATE TABLE publication_keyword (kid NUMBER, pid NUMBER)
CREATE TABLE domain_author (aid NUMBER, did NUMBER)
CREATE TABLE domain (did NUMBER, name VARCHAR2)
CREATE TABLE publication (abstract VARCHAR2, cid NUMBER, citation_num NUMBER, jid NUMBER, pid NUMBER, reference_num NUMBER, title VARCHAR2, year NUMBER)
CREATE TABLE domain_journal (did NUMBER, jid NUMBER)
| return me the papers by ' H. V. Jagadish ' . | SELECT publication.title FROM author, publication, writes WHERE author.name = 'H. V. Jagadish' AND writes.aid = author.aid AND writes.pid = publication.pid | SELECT "publication"."title" FROM "author" JOIN "writes" ON "author"."aid" = "writes"."aid" JOIN "publication" ON "publication"."pid" = "writes"."pid" WHERE "author"."name" = 'H. V. Jagadish' | 0.186523 |
CREATE TABLE table_22915134_2 (graphical VARCHAR2, engine VARCHAR2)
| When i4 is the engine what is the graphical? | SELECT graphical FROM table_22915134_2 WHERE engine = "I4" | SELECT "graphical" FROM "table_22915134_2" WHERE "I4" = "engine" | 0.0625 |
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE PostHistoryTypes (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 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 ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
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 FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE 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 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 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 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 ReviewTaskStates (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 PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
| Posts with pending flags (query still a work-in-progress). | SELECT pf.Id AS "id", pf.PostId AS "post_link" FROM PendingFlags AS pf WHERE pf.CloseReasonTypeId != 0 | SELECT "pf"."Id" AS "id", "pf"."PostId" AS "post_link" FROM "PendingFlags" "pf" WHERE "pf"."CloseReasonTypeId" <> 0 | 0.112305 |
CREATE TABLE table_14603212_1 (school_year VARCHAR2, class_aA VARCHAR2, Franklin VARCHAR2)
| For franklin of class aa, which school years does this occur? | SELECT school_year FROM table_14603212_1 WHERE class_aA = Franklin | SELECT "school_year" FROM "table_14603212_1" WHERE "Franklin" = "class_aA" | 0.072266 |
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 ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId 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 ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE 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 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 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 Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE 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 FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
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 CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
| Top Answering HTML and CSS Question. | WITH USER_BY_TAG AS (SELECT ROW_NUMBER() OVER (ORDER BY COUNT(*) DESC) AS Rank, u.Id AS "user_link", COUNT(*) AS UpVotes FROM Tags AS t INNER JOIN PostTags AS pt ON pt.TagId = t.Id INNER JOIN Posts AS p ON p.ParentId = pt.PostId INNER JOIN Votes AS v ON v.PostId = p.Id AND VoteTypeId = 2 INNER JOIN Users AS u ON u.Id = p.OwnerUserId WHERE LOWER(Location) LIKE '%malaysia%' AND TagName = 'css' GROUP BY u.Id, TagName) SELECT * FROM USER_BY_TAG WHERE rank <= 1000 ORDER BY UpVotes DESC | WITH "USER_BY_TAG" AS (SELECT ROW_NUMBER() OVER (ORDER BY COUNT(*) DESC) AS "Rank", "u"."Id" AS "user_link", COUNT(*) AS "UpVotes" FROM "Tags" "t" JOIN "PostTags" "pt" ON "pt"."TagId" = "t"."Id" JOIN "Posts" "p" ON "p"."ParentId" = "pt"."PostId" JOIN "Users" "u" ON "p"."OwnerUserId" = "u"."Id" JOIN "Votes" "v" ON "VoteTypeId" = 2 AND "p"."Id" = "v"."PostId" WHERE "TagName" = 'css' AND LOWER("Location") LIKE '%malaysia%' GROUP BY "u"."Id", "TagName") SELECT * FROM "USER_BY_TAG" WHERE "rank" <= 1000 ORDER BY "UpVotes" DESC | 0.513672 |
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 employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE 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)
| Show me salary by last name in a histogram, order total number from high to low order. | SELECT LAST_NAME, SALARY FROM employees ORDER BY SALARY DESC | SELECT "LAST_NAME", "SALARY" FROM "employees" ORDER BY "SALARY" DESC | 0.066406 |
CREATE TABLE table_43884 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
| What is the Country, when Place is '1'? | SELECT "Country" FROM table_43884 WHERE "Place" = '1' | SELECT "Country" FROM "table_43884" WHERE "Place" = '1' | 0.053711 |
CREATE TABLE table_2182562_2 (position VARCHAR2, avg_finish VARCHAR2)
| What was the position of the team with an average finish of 21.5? | SELECT position FROM table_2182562_2 WHERE avg_finish = "21.5" | SELECT "position" FROM "table_2182562_2" WHERE "21.5" = "avg_finish" | 0.066406 |
CREATE TABLE table_name_23 (venue VARCHAR2, year VARCHAR2, notes VARCHAR2)
| What is the venue of the team race that was after 2008? | SELECT venue FROM table_name_23 WHERE year > 2008 AND notes = "team" | SELECT "venue" FROM "table_name_23" WHERE "notes" = "team" AND "year" > 2008 | 0.074219 |
CREATE TABLE table_6712 ("Season" CLOB, "Competition" CLOB, "Round" CLOB, "Opponent" CLOB, "Home" CLOB, "Away" CLOB, "Agg." CLOB)
| Which Home has an Opponent of br ndby? | SELECT "Home" FROM table_6712 WHERE "Opponent" = 'brΓΈndby' | SELECT "Home" FROM "table_6712" WHERE "Opponent" = 'brΓΈndby' | 0.058594 |
CREATE TABLE appellations (No NUMBER, Appelation CLOB, County CLOB, State CLOB, Area CLOB, isAVA CLOB)
CREATE TABLE wine (No NUMBER, Grape CLOB, Winery CLOB, Appelation CLOB, State CLOB, Name CLOB, Year NUMBER, Price NUMBER, Score NUMBER, Cases NUMBER, Drink CLOB)
CREATE TABLE grapes (ID NUMBER, Grape CLOB, Color CLOB)
| What are the average prices of wines for different years Show the trend, list by the X-axis in descending. | SELECT Year, AVG(Price) FROM wine GROUP BY Year ORDER BY Year DESC | SELECT "Year", AVG("Price") FROM "wine" GROUP BY "Year" ORDER BY "Year" DESC | 0.074219 |
CREATE TABLE status (station_id NUMBER, bikes_available NUMBER, docks_available NUMBER, time CLOB)
CREATE TABLE station (id NUMBER, name CLOB, lat NUMBER, long NUMBER, dock_count NUMBER, city CLOB, installation_date CLOB)
CREATE TABLE weather (date CLOB, max_temperature_f NUMBER, mean_temperature_f NUMBER, min_temperature_f NUMBER, max_dew_point_f NUMBER, mean_dew_point_f NUMBER, min_dew_point_f NUMBER, max_humidity NUMBER, mean_humidity NUMBER, min_humidity NUMBER, max_sea_level_pressure_inches NUMBER, mean_sea_level_pressure_inches NUMBER, min_sea_level_pressure_inches NUMBER, max_visibility_miles NUMBER, mean_visibility_miles NUMBER, min_visibility_miles NUMBER, max_wind_Speed_mph NUMBER, mean_wind_speed_mph NUMBER, max_gust_speed_mph NUMBER, precipitation_inches NUMBER, cloud_cover NUMBER, events CLOB, wind_dir_degrees NUMBER, zip_code NUMBER)
CREATE TABLE trip (id NUMBER, duration NUMBER, start_date CLOB, start_station_name CLOB, start_station_id NUMBER, end_date CLOB, end_station_name CLOB, end_station_id NUMBER, bike_id NUMBER, subscription_type CLOB, zip_code NUMBER)
| For dates had a minimum dew point smaller than any day in zip code 94107, show the total number of such days for each year using a bar chart, list from low to high by the y axis. | SELECT date, COUNT(date) FROM weather WHERE min_dew_point_f < (SELECT MIN(min_dew_point_f) FROM weather WHERE zip_code = 94107) ORDER BY COUNT(date) | SELECT "date", COUNT("date") FROM "weather" WHERE "min_dew_point_f" < (SELECT MIN("min_dew_point_f") FROM "weather" WHERE "zip_code" = 94107) ORDER BY COUNT("date") | 0.160156 |
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 allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime 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 diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime 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)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
| what is the maximum total hospital cost that includes the protein c since 4 years ago? | SELECT MAX(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.patientunitstayid IN (SELECT lab.patientunitstayid FROM lab WHERE lab.labname = 'protein c')) AND DATETIME(cost.chargetime) >= DATETIME(CURRENT_TIME(), '-4 year') GROUP BY cost.patienthealthsystemstayid) AS t1 | WITH "_u_0" AS (SELECT "lab"."patientunitstayid" FROM "lab" WHERE "lab"."labname" = 'protein c' GROUP BY "patientunitstayid"), "_u_1" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patientunitstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patienthealthsystemstayid"), "t1" AS (SELECT SUM("cost"."cost") AS "c1" FROM "cost" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "cost"."patienthealthsystemstayid" WHERE DATETIME("cost"."chargetime") >= DATETIME(CURRENT_TIME(), '-4 year') AND NOT "_u_1"."" IS NULL GROUP BY "cost"."patienthealthsystemstayid") SELECT MAX("t1"."c1") FROM "t1" "t1" | 0.629883 |
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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name 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_labitems (row_id NUMBER, itemid NUMBER, label 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 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 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)
| when did patient 30044 for the last time until 07/2100 receive the ptt test? | SELECT labevents.charttime FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'ptt') AND labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 30044) AND STRFTIME('%y-%m', labevents.charttime) <= '2100-07' ORDER BY labevents.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'ptt' GROUP BY "itemid"), "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 30044 GROUP BY "hadm_id") SELECT "labevents"."charttime" FROM "labevents" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "labevents"."itemid" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "labevents"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m', "labevents"."charttime") <= '2100-07' ORDER BY "labevents"."charttime" DESC FETCH FIRST 1 ROWS ONLY | 0.567383 |
CREATE TABLE table_63428 ("Rank" FLOAT, "Player" CLOB, "Goals" FLOAT, "Apps" FLOAT, "Rate" FLOAT)
| When rank is more than 10, what is the total rate? | SELECT SUM("Rate") FROM table_63428 WHERE "Rank" > '10' | SELECT SUM("Rate") FROM "table_63428" WHERE "Rank" > '10' | 0.055664 |
CREATE TABLE table_204_776 (id NUMBER, "site" CLOB, "date ( s ) " CLOB, "designated" NUMBER, "location" CLOB, "description" CLOB)
| which site was designated first , bank of montreal or bonsecors market ? | SELECT "site" FROM table_204_776 WHERE "site" IN ('bank of montreal', 'bonsecours market') ORDER BY "designated" LIMIT 1 | SELECT "site" FROM "table_204_776" WHERE "site" IN ('bank of montreal', 'bonsecours market') ORDER BY "designated" FETCH FIRST 1 ROWS ONLY | 0.134766 |
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type 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 fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description 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 city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
| i'd like to get a flight from WASHINGTON to OAKLAND with a stopover in DFW for 9 15 | SELECT DISTINCT flight.flight_id FROM airport, airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight, flight_stop WHERE ((airport.airport_code = 'DFW' AND date_day.day_number = 15 AND date_day.month_number = 9 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight_stop.stop_airport = airport.airport_code AND flight.flight_days = days.days_code AND flight.flight_id = flight_stop.flight_id) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'OAKLAND' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'WASHINGTON' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport" JOIN "date_day" ON "date_day"."day_number" = 15 AND "date_day"."month_number" = 9 AND "date_day"."year" = 1991 JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "days"."days_code" = "flight"."flight_days" JOIN "airport_service" "AIRPORT_SERVICE_0" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_stop" ON "airport"."airport_code" = "flight_stop"."stop_airport" AND "flight"."flight_id" = "flight_stop"."flight_id" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'WASHINGTON' JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'OAKLAND' WHERE "airport"."airport_code" = 'DFW' | 0.875977 |
CREATE TABLE table_65093 ("Week" FLOAT, "Date" CLOB, "Opponent" CLOB, "Result" CLOB, "TV Time" CLOB, "Attendance" CLOB)
| What is the Attendance at the game against the Cincinnati Bengals? | SELECT "Attendance" FROM table_65093 WHERE "Opponent" = 'cincinnati bengals' | SELECT "Attendance" FROM "table_65093" WHERE "Opponent" = 'cincinnati bengals' | 0.076172 |
CREATE TABLE table_75224 ("Sport" CLOB, "Record" CLOB, "Nation" CLOB, "Date" CLOB, "Time ( sec. ) " FLOAT)
| Which nation finished with a time of 47.049? | SELECT "Nation" FROM table_75224 WHERE "Time (sec.)" = '47.049' | SELECT "Nation" FROM "table_75224" WHERE "Time (sec.)" = '47.049' | 0.063477 |
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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_icd_diagnoses (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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime 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 d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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)
| what was the last hospital admissions type of patient 4288 during this year? | SELECT admissions.admission_type FROM admissions WHERE admissions.subject_id = 4288 AND DATETIME(admissions.admittime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') ORDER BY admissions.admittime DESC LIMIT 1 | SELECT "admissions"."admission_type" FROM "admissions" WHERE "admissions"."subject_id" = 4288 AND DATETIME("admissions"."admittime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') ORDER BY "admissions"."admittime" DESC FETCH FIRST 1 ROWS ONLY | 0.260742 |
CREATE TABLE table_28593 ("Engine Family" CLOB, "Cylinder Layout" CLOB, "Displacement ( s ) " CLOB, "Injection type" CLOB, "Years produced" CLOB)
| The displacement(s) 466 cubic inches (7.6L), has what engine family? | SELECT "Engine Family" FROM table_28593 WHERE "Displacement(s)" = '466 cubic inches (7.6L)' | SELECT "Engine Family" FROM "table_28593" WHERE "Displacement(s)" = '466 cubic inches (7.6L)' | 0.09082 |
CREATE TABLE table_70555 ("Date" CLOB, "Home captain" CLOB, "Away captain" CLOB, "Venue" CLOB, "Result" CLOB)
| Who was the away captain at Waca Ground? | SELECT "Away captain" FROM table_70555 WHERE "Venue" = 'waca ground' | SELECT "Away captain" FROM "table_70555" WHERE "Venue" = 'waca ground' | 0.068359 |
CREATE TABLE table_test_6 ("id" NUMBER, "scr" NUMBER, "anemia" BOOLEAN, "blood_hemoglobin" NUMBER, "bleeding" NUMBER, "hemorrhagic_diseases" BOOLEAN, "stroke" BOOLEAN, "blood_platelet_counts" NUMBER, "trauma" BOOLEAN, "renal_disease" BOOLEAN, "hematocrit_hct" FLOAT, "hepatic_disease" BOOLEAN, "polyglobulia" BOOLEAN, "estimated_glomerular_filtration_rate_egfr" NUMBER, "non_ischemic_stroke" BOOLEAN, "surgery" BOOLEAN, "NOUSE" FLOAT)
| history of stroke in 6 months; | SELECT * FROM table_test_6 WHERE stroke = 1 | SELECT * FROM "table_test_6" WHERE "stroke" = 1 | 0.045898 |
CREATE TABLE table_67141 ("Year" CLOB, "Start" CLOB, "Qual" CLOB, "Rank" CLOB, "Finish" CLOB, "Laps" FLOAT)
| How many laps have 1 as the start? | SELECT COUNT("Laps") FROM table_67141 WHERE "Start" = '1' | SELECT COUNT("Laps") FROM "table_67141" WHERE "Start" = '1' | 0.057617 |
CREATE TABLE table_56516 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| If the home team playing is hawthorn and there are more than 13,000 people in the crowd, what did the away team score? | SELECT "Away team score" FROM table_56516 WHERE "Crowd" > '13,000' AND "Home team" = 'hawthorn' | SELECT "Away team score" FROM "table_56516" WHERE "Crowd" > '13,000' AND "Home team" = 'hawthorn' | 0.094727 |
CREATE TABLE table_name_45 (nation VARCHAR2, bronze VARCHAR2, silver VARCHAR2)
| What nation has more than 1 bronze and less than 3 silver? | SELECT nation FROM table_name_45 WHERE bronze > 1 AND silver < 3 | SELECT "nation" FROM "table_name_45" WHERE "bronze" > 1 AND "silver" < 3 | 0.070313 |
CREATE TABLE Invoices (invoice_number NUMBER, order_id NUMBER, invoice_date DATETIME)
CREATE TABLE Financial_Transactions (transaction_id NUMBER, account_id NUMBER, invoice_number NUMBER, transaction_type VARCHAR2, transaction_date DATETIME, transaction_amount NUMBER, transaction_comment VARCHAR2, other_transaction_details VARCHAR2)
CREATE TABLE Customers (customer_id NUMBER, customer_first_name VARCHAR2, customer_middle_initial VARCHAR2, customer_last_name VARCHAR2, gender VARCHAR2, email_address VARCHAR2, login_name VARCHAR2, login_password VARCHAR2, phone_number VARCHAR2, town_city VARCHAR2, state_county_province VARCHAR2, country VARCHAR2)
CREATE TABLE Products (product_id NUMBER, parent_product_id NUMBER, production_type_code VARCHAR2, unit_price NUMBER, product_name VARCHAR2, product_color VARCHAR2, product_size VARCHAR2)
CREATE TABLE Invoice_Line_Items (order_item_id NUMBER, invoice_number NUMBER, product_id NUMBER, product_title VARCHAR2, product_quantity VARCHAR2, product_price NUMBER, derived_product_cost NUMBER, derived_vat_payable NUMBER, derived_total_cost NUMBER)
CREATE TABLE Accounts (account_id NUMBER, customer_id NUMBER, date_account_opened DATETIME, account_name VARCHAR2, other_account_details VARCHAR2)
CREATE TABLE Order_Items (order_item_id NUMBER, order_id NUMBER, product_id NUMBER, product_quantity VARCHAR2, other_order_item_details VARCHAR2)
CREATE TABLE Product_Categories (production_type_code VARCHAR2, product_type_description VARCHAR2, vat_rating NUMBER)
CREATE TABLE Orders (order_id NUMBER, customer_id NUMBER, date_order_placed DATETIME, order_details VARCHAR2)
| Show the number of accounts for all accounts by the customer with first name 'Meaghan' opened in each day Bin the account open day by weekday in a bar chart, sort by the y-axis from high to low please. | SELECT date_account_opened, COUNT(date_account_opened) FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.customer_first_name = 'Meaghan' ORDER BY COUNT(date_account_opened) DESC | SELECT "date_account_opened", COUNT("date_account_opened") FROM "Accounts" "T1" JOIN "Customers" "T2" ON "T1"."customer_id" = "T2"."customer_id" AND "T2"."customer_first_name" = 'Meaghan' ORDER BY COUNT("date_account_opened") DESC | 0.224609 |
CREATE TABLE table_36042 ("m/v ft/s" FLOAT, "Shell ( lb ) " FLOAT, "Time to ft ( m ) at 25\\u00b0 ( seconds ) " CLOB, "Time to ft ( m ) at 40\\u00b0 ( seconds ) " FLOAT, "Time to ft ( m ) at 55\\u00b0 ( seconds ) " FLOAT, "Max. height ( ft ) " FLOAT)
| What is the average maximum height of the shell smaller than 12.5 lb that reached its maximum height at 25 in 10.1 seconds? | SELECT AVG("Max. height (ft)") FROM table_36042 WHERE "Time to ft (m) at 25\u00b0 (seconds)" = '10.1' AND "Shell (lb)" < '12.5' | SELECT AVG("Max. height (ft)") FROM "table_36042" WHERE "Shell (lb)" < '12.5' AND "Time to ft (m) at 25\u00b0 (seconds)" = '10.1' | 0.125977 |
CREATE TABLE table_37701 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" CLOB, "Result" CLOB)
| What was the result for incumbent Joseph McKenna who was first elected in 1884? | SELECT "Result" FROM table_37701 WHERE "First elected" = '1884' AND "Incumbent" = 'joseph mckenna' | SELECT "Result" FROM "table_37701" WHERE "First elected" = '1884' AND "Incumbent" = 'joseph mckenna' | 0.097656 |
CREATE TABLE member_of (facid NUMBER, dno NUMBER, appt_type CLOB)
CREATE TABLE course (cid CLOB, cname CLOB, credits NUMBER, instructor NUMBER, days CLOB, hours CLOB, dno NUMBER)
CREATE TABLE gradeconversion (lettergrade CLOB, gradepoint NUMBER)
CREATE TABLE minor_in (stuid NUMBER, dno NUMBER)
CREATE TABLE student (stuid NUMBER, lname CLOB, fname CLOB, age NUMBER, sex CLOB, major NUMBER, advisor NUMBER, city_code CLOB)
CREATE TABLE department (dno NUMBER, division CLOB, dname CLOB, room CLOB, building CLOB, dphone NUMBER)
CREATE TABLE enrolled_in (stuid NUMBER, cid CLOB, grade CLOB)
CREATE TABLE faculty (facid NUMBER, lname CLOB, fname CLOB, rank CLOB, sex CLOB, phone NUMBER, room CLOB, building CLOB)
| What are the last names of faculty in building Barton, sorted by last name? | SELECT lname FROM faculty WHERE building = "Barton" ORDER BY lname | SELECT "lname" FROM "faculty" WHERE "Barton" = "building" ORDER BY "lname" | 0.072266 |
CREATE TABLE table_name_5 (qual VARCHAR2, rank VARCHAR2)
| What is the qual for rank 20? | SELECT qual FROM table_name_5 WHERE rank = "20" | SELECT "qual" FROM "table_name_5" WHERE "20" = "rank" | 0.051758 |
CREATE TABLE table_name_74 (school VARCHAR2, location VARCHAR2)
| What school is in Radford, Va? | SELECT school FROM table_name_74 WHERE location = "radford, va" | SELECT "school" FROM "table_name_74" WHERE "location" = "radford, va" | 0.067383 |
CREATE TABLE table_11116 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
| What team was the away team when Footscray was the home team? | SELECT "Away team" FROM table_11116 WHERE "Home team" = 'footscray' | SELECT "Away team" FROM "table_11116" WHERE "Home team" = 'footscray' | 0.067383 |
CREATE TABLE table_name_53 (attendance VARCHAR2, home_team VARCHAR2)
| What was the attendance for the game with alfreton town as the home team? | SELECT attendance FROM table_name_53 WHERE home_team = "alfreton town" | SELECT "attendance" FROM "table_name_53" WHERE "alfreton town" = "home_team" | 0.074219 |
CREATE TABLE table_40347 ("Date" CLOB, "Venue" CLOB, "Score" CLOB, "Result" CLOB, "Competition" CLOB)
| What is the Venue for the 2002 fifa world cup qualifier, and a Result of 8-2? | SELECT "Venue" FROM table_40347 WHERE "Competition" = '2002 fifa world cup qualifier' AND "Result" = '8-2' | SELECT "Venue" FROM "table_40347" WHERE "Competition" = '2002 fifa world cup qualifier' AND "Result" = '8-2' | 0.105469 |
CREATE TABLE table_16215 ("General election" FLOAT, "# of candidates" FLOAT, "# of seats won" FLOAT, "% of popular vote" CLOB, "Result" CLOB)
| How many seats were won in the election with 125 candidates? | SELECT COUNT("# of seats won") FROM table_16215 WHERE "# of candidates" = '125' | SELECT COUNT("# of seats won") FROM "table_16215" WHERE "# of candidates" = '125' | 0.079102 |
CREATE TABLE table_name_29 (giro_wins NUMBER, young_rider VARCHAR2, jerseys VARCHAR2, country VARCHAR2)
| what is the giro wins when jerseys is 2, country is portugal and young rider is more than 0? | SELECT SUM(giro_wins) FROM table_name_29 WHERE jerseys = 2 AND country = "portugal" AND young_rider > 0 | SELECT SUM("giro_wins") FROM "table_name_29" WHERE "country" = "portugal" AND "jerseys" = 2 AND "young_rider" > 0 | 0.110352 |
CREATE TABLE table_name_65 (record VARCHAR2, game NUMBER)
| What is the record when the game is greater than 24? | SELECT record FROM table_name_65 WHERE game > 24 | SELECT "record" FROM "table_name_65" WHERE "game" > 24 | 0.052734 |
CREATE TABLE table_name_5 (set_2 VARCHAR2, set_3 VARCHAR2, time VARCHAR2)
| Which Set 2 has a Set 3 of 25 20, and a Time of 13:45? | SELECT set_2 FROM table_name_5 WHERE set_3 = "25β20" AND time = "13:45" | SELECT "set_2" FROM "table_name_5" WHERE "13:45" = "time" AND "25β20" = "set_3" | 0.077148 |
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
| For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about salary over the phone_number by a bar chart, and order from high to low by the Y. | SELECT PHONE_NUMBER, SALARY FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY SALARY DESC | SELECT "PHONE_NUMBER", "SALARY" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "SALARY" DESC | 0.189453 |
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 outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE 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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod 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 diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE 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)
| on last month/25 what was the last value of arterial bp [diastolic] of patient 8016? | SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 8016)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [diastolic]' AND d_items.linksto = 'chartevents') AND DATETIME(chartevents.charttime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND STRFTIME('%d', chartevents.charttime) = '25' ORDER BY chartevents.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 8016 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'arterial bp [diastolic]' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT "chartevents"."valuenum" FROM "chartevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE DATETIME("chartevents"."charttime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL AND STRFTIME('%d', "chartevents"."charttime") = '25' ORDER BY "chartevents"."charttime" DESC FETCH FIRST 1 ROWS ONLY | 0.899414 |
CREATE TABLE table_name_65 (score_points VARCHAR2, total VARCHAR2)
| With Olympic Bronze Medalist as the total what are the score points? | SELECT score_points FROM table_name_65 WHERE total = "olympic bronze medalist" | SELECT "score_points" FROM "table_name_65" WHERE "olympic bronze medalist" = "total" | 0.082031 |
CREATE TABLE document_locations (document_id NUMBER, location_code CLOB, date_in_location_from TIME, date_in_locaton_to TIME)
CREATE TABLE roles (role_code CLOB, role_name CLOB, role_description CLOB)
CREATE TABLE all_documents (document_id NUMBER, date_stored TIME, document_type_code CLOB, document_name CLOB, document_description CLOB, other_details CLOB)
CREATE TABLE employees (employee_id NUMBER, role_code CLOB, employee_name CLOB, gender_mfu CLOB, date_of_birth TIME, other_details CLOB)
CREATE TABLE ref_calendar (calendar_date TIME, day_number NUMBER)
CREATE TABLE documents_to_be_destroyed (document_id NUMBER, destruction_authorised_by_employee_id NUMBER, destroyed_by_employee_id NUMBER, planned_destruction_date TIME, actual_destruction_date TIME, other_details CLOB)
CREATE TABLE ref_locations (location_code CLOB, location_name CLOB, location_description CLOB)
CREATE TABLE ref_document_types (document_type_code CLOB, document_type_name CLOB, document_type_description CLOB)
| What are the name and description for role code 'MG'? | SELECT role_name, role_description FROM roles WHERE role_code = "MG" | SELECT "role_name", "role_description" FROM "roles" WHERE "MG" = "role_code" | 0.074219 |
CREATE TABLE table_name_18 (license VARCHAR2, actual_version VARCHAR2)
| Which License has an Actual Vaersion of 9.0? | SELECT license FROM table_name_18 WHERE actual_version = "9.0" | SELECT "license" FROM "table_name_18" WHERE "9.0" = "actual_version" | 0.066406 |
CREATE TABLE table_6988 ("Administrative Panel" FLOAT, "Agricultural Panel" FLOAT, "Cultural and Educational Panel" FLOAT, "Industrial and Commercial Panel" FLOAT, "Labour Panel" FLOAT, "National University of Ireland" FLOAT, "University of Dublin" FLOAT, "Nominated by the Taoiseach" FLOAT, "Total" FLOAT)
| What is the average agricultural panel value with a Labour panel less than 1, a total value less than 21, and a National University of Ireland value greater than 0? | SELECT AVG("Agricultural Panel") FROM table_6988 WHERE "Labour Panel" < '1' AND "Total" < '21' AND "National University of Ireland" > '0' | SELECT AVG("Agricultural Panel") FROM "table_6988" WHERE "Labour Panel" < '1' AND "National University of Ireland" > '0' AND "Total" < '21' | 0.135742 |
CREATE TABLE advisor (s_ID VARCHAR2, i_ID VARCHAR2)
CREATE TABLE student (ID VARCHAR2, name VARCHAR2, dept_name VARCHAR2, tot_cred NUMBER)
CREATE TABLE teaches (ID VARCHAR2, course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER)
CREATE TABLE takes (ID VARCHAR2, course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER, grade VARCHAR2)
CREATE TABLE classroom (building VARCHAR2, room_number VARCHAR2, capacity NUMBER)
CREATE TABLE instructor (ID VARCHAR2, name VARCHAR2, dept_name VARCHAR2, salary NUMBER)
CREATE TABLE prereq (course_id VARCHAR2, prereq_id VARCHAR2)
CREATE TABLE course (course_id VARCHAR2, title VARCHAR2, dept_name VARCHAR2, credits NUMBER)
CREATE TABLE time_slot (time_slot_id VARCHAR2, day VARCHAR2, start_hr NUMBER, start_min NUMBER, end_hr NUMBER, end_min NUMBER)
CREATE TABLE section (course_id VARCHAR2, sec_id VARCHAR2, semester VARCHAR2, year NUMBER, building VARCHAR2, room_number VARCHAR2, time_slot_id VARCHAR2)
CREATE TABLE department (dept_name VARCHAR2, building VARCHAR2, budget NUMBER)
| Return a histogram on what are the names and budgets of departments with budgets greater than the average?, display by the bars from low to high. | SELECT dept_name, budget FROM department WHERE budget > (SELECT AVG(budget) FROM department) ORDER BY dept_name | SELECT "dept_name", "budget" FROM "department" WHERE "budget" > (SELECT AVG("budget") FROM "department") ORDER BY "dept_name" | 0.12207 |
CREATE TABLE table_name_35 (score VARCHAR2, opponent VARCHAR2, record VARCHAR2)
| What is Score, when Opponent is Portland Trail Blazers, and when Record is 12-58? | SELECT score FROM table_name_35 WHERE opponent = "portland trail blazers" AND record = "12-58" | SELECT "score" FROM "table_name_35" WHERE "12-58" = "record" AND "opponent" = "portland trail blazers" | 0.099609 |
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)
| Compare the number of the local authority by the local authority, and rank in descending by the bar please. | SELECT local_authority, COUNT(local_authority) FROM station GROUP BY local_authority ORDER BY local_authority DESC | SELECT "local_authority", COUNT("local_authority") FROM "station" GROUP BY "local_authority" ORDER BY "local_authority" DESC | 0.121094 |
CREATE TABLE table_name_98 (rank NUMBER, laps VARCHAR2)
| What is the average rank of one who is at 76 laps? | SELECT AVG(rank) FROM table_name_98 WHERE laps = 76 | SELECT AVG("rank") FROM "table_name_98" WHERE "laps" = 76 | 0.055664 |
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 death status of subject id 2560? | SELECT demographic.expire_flag FROM demographic WHERE demographic.subject_id = "2560" | SELECT "demographic"."expire_flag" FROM "demographic" WHERE "2560" = "demographic"."subject_id" | 0.092773 |
CREATE TABLE record (ID NUMBER, Result CLOB, Swimmer_ID NUMBER, Event_ID NUMBER)
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 event (ID NUMBER, Name CLOB, Stadium_ID NUMBER, Year CLOB)
| A bar chart shows the distribution of meter_600 and ID , show by the Y from high to low. | SELECT meter_600, ID FROM swimmer ORDER BY ID DESC | SELECT "meter_600", "ID" FROM "swimmer" ORDER BY "ID" DESC | 0.056641 |
CREATE TABLE table_name_75 (best_supported_club VARCHAR2, goals VARCHAR2, per_game VARCHAR2)
| what is the best supported club with a 25 Goal and a per game larger than 1,156? | SELECT best_supported_club FROM table_name_75 WHERE goals = 25 AND per_game > 1 OFFSET 156 | SELECT "best_supported_club" FROM "table_name_75" WHERE "goals" = 25 AND "per_game" > 1 OFFSET 156 ROWS | 0.100586 |
CREATE TABLE table_37556 ("Outcome" CLOB, "Date" CLOB, "Tournament" CLOB, "Surface" CLOB, "Partner" CLOB, "Opponents" CLOB, "Score" CLOB)
| Which Score has a Date of 13 april 1997? | SELECT "Score" FROM table_37556 WHERE "Date" = '13 april 1997' | SELECT "Score" FROM "table_37556" WHERE "Date" = '13 april 1997' | 0.0625 |
CREATE TABLE table_2387 ("Episode" FLOAT, "First Air Date" CLOB, "Rating ( 18\\u201349 ) " CLOB, "Share ( 18\\u201349 ) " FLOAT, "Viewers ( millions ) " CLOB, "Rank ( timeslot ) " CLOB)
| Name the episode for 18-49 rating being 3.6 | SELECT COUNT("Episode") FROM table_2387 WHERE "Rating (18\u201349)" = '3.6' | SELECT COUNT("Episode") FROM "table_2387" WHERE "Rating (18\u201349)" = '3.6' | 0.075195 |
CREATE TABLE table_13798 ("Model number" CLOB, "sSpec number" CLOB, "Cores" CLOB, "Frequency" CLOB, "Turbo" CLOB, "L2 cache" CLOB, "L3 cache" CLOB, "GPU model" CLOB, "GPU frequency" CLOB, "Socket" CLOB, "I/O bus" CLOB, "Release date" CLOB, "Part number ( s ) " CLOB, "Release price ( USD ) " CLOB)
| Which Release date has a sSpec number of sr0pk(e1)? | SELECT "Release date" FROM table_13798 WHERE "sSpec number" = 'sr0pk(e1)' | SELECT "Release date" FROM "table_13798" WHERE "sSpec number" = 'sr0pk(e1)' | 0.073242 |
CREATE TABLE music_festival (ID NUMBER, Music_Festival CLOB, Date_of_ceremony CLOB, Category CLOB, Volume NUMBER, Result CLOB)
CREATE TABLE artist (Artist_ID NUMBER, Artist CLOB, Age NUMBER, Famous_Title CLOB, Famous_Release_date CLOB)
CREATE TABLE volume (Volume_ID NUMBER, Volume_Issue CLOB, Issue_Date CLOB, Weeks_on_Top FLOAT, Song CLOB, Artist_ID NUMBER)
| What are the famous titles and ages of each artist, listed in descending order by age using a bar chart. | SELECT Famous_Title, Age FROM artist ORDER BY Age DESC | SELECT "Famous_Title", "Age" FROM "artist" ORDER BY "Age" DESC | 0.060547 |
CREATE TABLE table_name_51 (metres VARCHAR2, feet NUMBER)
| What is the sum of Metres wiht a Feet that's smaller than 196? | SELECT COUNT(metres) FROM table_name_51 WHERE feet < 196 | SELECT COUNT("metres") FROM "table_name_51" WHERE "feet" < 196 | 0.060547 |
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom 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 patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod 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 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_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 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 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 chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
| what is the total amount of input until 12/28/2105 patient 23061 had received? | 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 = 23061)) AND STRFTIME('%y-%m-%d', inputevents_cv.charttime) <= '2105-12-28' | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 23061 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 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 AND STRFTIME('%y-%m-%d', "inputevents_cv"."charttime") <= '2105-12-28' | 0.508789 |
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 demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
| how many patient are diagnosed with alzheimer and advised for po/ng drug route? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Alzheimer's disease" AND prescriptions.route = "PO/NG" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Alzheimer's disease" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "PO/NG" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.296875 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE 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 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 primary disease is overdose and drug route is tp? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.diagnosis = "OVERDOSE" AND prescriptions.route = "TP" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "TP" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "OVERDOSE" = "demographic"."diagnosis" | 0.21875 |
CREATE TABLE table_name_2 (player VARCHAR2, position VARCHAR2)
| Who is the player with a FB position? | SELECT player FROM table_name_2 WHERE position = "fb" | SELECT "player" FROM "table_name_2" WHERE "fb" = "position" | 0.057617 |
CREATE TABLE table_42050 ("Outcome" CLOB, "Year" CLOB, "Surface" CLOB, "Opponent" CLOB, "Score" CLOB)
| What year was the match were xavier malisse was the runner-up against lleyton hewitt? | SELECT "Year" FROM table_42050 WHERE "Outcome" = 'runner-up' AND "Opponent" = 'lleyton hewitt' | SELECT "Year" FROM "table_42050" WHERE "Opponent" = 'lleyton hewitt' AND "Outcome" = 'runner-up' | 0.09375 |
CREATE TABLE table_75954 ("Tournament" CLOB, "2006" CLOB, "2009" CLOB, "2012" CLOB, "2013" CLOB)
| What shows for 2013 when the 2012 is 2r, and a 2009 is 2r? | SELECT "2013" FROM table_75954 WHERE "2012" = '2r' AND "2009" = '2r' | SELECT "2013" FROM "table_75954" WHERE "2009" = '2r' AND "2012" = '2r' | 0.068359 |
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 microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime 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 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 diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
| whats the first ward id of patient 006-77873 in this year? | SELECT patient.wardid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-77873') AND DATETIME(patient.unitadmittime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') ORDER BY patient.unitadmittime LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '006-77873' GROUP BY "patienthealthsystemstayid") SELECT "patient"."wardid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE DATETIME("patient"."unitadmittime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_0"."" IS NULL ORDER BY "patient"."unitadmittime" FETCH FIRST 1 ROWS ONLY | 0.460938 |
CREATE TABLE gymnast (Gymnast_ID NUMBER, Floor_Exercise_Points FLOAT, Pommel_Horse_Points FLOAT, Rings_Points FLOAT, Vault_Points FLOAT, Parallel_Bars_Points FLOAT, Horizontal_Bar_Points FLOAT, Total_Points FLOAT)
CREATE TABLE people (People_ID NUMBER, Name CLOB, Age FLOAT, Height FLOAT, Hometown CLOB)
| Show me a bar chart for how many gymnasts are from each hometown?, and I want to show from low to high by the total number. | SELECT Hometown, COUNT(*) FROM gymnast AS T1 JOIN people AS T2 ON T1.Gymnast_ID = T2.People_ID GROUP BY T2.Hometown ORDER BY COUNT(*) | SELECT "Hometown", COUNT(*) FROM "gymnast" "T1" JOIN "people" "T2" ON "T1"."Gymnast_ID" = "T2"."People_ID" GROUP BY "T2"."Hometown" ORDER BY COUNT(*) | 0.145508 |
CREATE TABLE table_name_2 (matches NUMBER, name VARCHAR2, rank VARCHAR2)
| What is the number of Matches for Vits Rimkus with a Rank of less than 3? | SELECT AVG(matches) FROM table_name_2 WHERE name = "vits rimkus" AND rank < 3 | SELECT AVG("matches") FROM "table_name_2" WHERE "name" = "vits rimkus" AND "rank" < 3 | 0.083008 |
CREATE TABLE table_name_58 (country VARCHAR2, round VARCHAR2)
| Which country had a round of Q3? | SELECT country FROM table_name_58 WHERE round = "q3" | SELECT "country" FROM "table_name_58" WHERE "q3" = "round" | 0.056641 |
CREATE TABLE table_name_85 (time VARCHAR2, country VARCHAR2)
| What time does Belgium have? | SELECT time FROM table_name_85 WHERE country = "belgium" | SELECT "time" FROM "table_name_85" WHERE "belgium" = "country" | 0.060547 |
CREATE TABLE table_name_29 (draws NUMBER, losses VARCHAR2, club VARCHAR2, against VARCHAR2, wins VARCHAR2)
| What's the smallest draw of Warrnambool when the against was less than 1299, more than 7 wins, and less than 2 losses? | SELECT MIN(draws) FROM table_name_29 WHERE against < 1299 AND wins > 7 AND club = "warrnambool" AND losses < 2 | SELECT MIN("draws") FROM "table_name_29" WHERE "against" < 1299 AND "club" = "warrnambool" AND "losses" < 2 AND "wins" > 7 | 0.119141 |
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category 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 program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction 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_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_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 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 jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
| Which professors are not teaching classes with labs ? | SELECT DISTINCT instructor.name FROM instructor, course, course_offering, offering_instructor WHERE course.course_id = course_offering.course_id AND course.department = 'EECS' AND course_offering.offering_id = offering_instructor.offering_id AND instructor.instructor_id = offering_instructor.instructor_id AND NOT instructor.instructor_id IN (SELECT DISTINCT offering_instructor.instructor_id FROM course AS COURSEalias0, course_offering AS COURSE_OFFERINGalias0, offering_instructor AS OFFERING_INSTRUCTOR WHERE COURSEalias0.course_id = COURSE_OFFERINGalias0.course_id AND COURSEalias0.has_lab = 'Y' AND COURSE_OFFERINGalias0.offering_id = offering_instructor.offering_id) | SELECT DISTINCT "instructor"."name" FROM "instructor" JOIN "course" ON "course"."department" = 'EECS' JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" AND "instructor"."instructor_id" = "offering_instructor"."instructor_id" AND NOT "instructor"."instructor_id" IN (SELECT DISTINCT "offering_instructor"."instructor_id" FROM "course" "COURSEalias0" CROSS JOIN "offering_instructor" "OFFERING_INSTRUCTOR" JOIN "course_offering" "COURSE_OFFERINGalias0" ON "COURSE_OFFERINGalias0"."course_id" = "COURSEalias0"."course_id" AND "COURSE_OFFERINGalias0"."offering_id" = "offering_instructor"."offering_id" WHERE "COURSEalias0"."has_lab" = 'Y') | 0.74707 |
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_colors (color_code CLOB, color_description CLOB)
CREATE TABLE characteristics (characteristic_id NUMBER, characteristic_type_code CLOB, characteristic_data_type CLOB, characteristic_name CLOB, other_characteristic_details CLOB)
CREATE TABLE product_characteristics (product_id NUMBER, characteristic_id NUMBER, product_characteristic_value CLOB)
CREATE TABLE ref_characteristic_types (characteristic_type_code CLOB, characteristic_type_description CLOB)
CREATE TABLE ref_product_categories (product_category_code CLOB, product_category_description CLOB, unit_of_measure CLOB)
| What are the different names of the product characteristics? | SELECT DISTINCT characteristic_name FROM characteristics | SELECT DISTINCT "characteristic_name" FROM "characteristics" | 0.058594 |
CREATE TABLE table_name_43 (grade VARCHAR2, chin_up__reps_ VARCHAR2)
| If a person does 3 chin-up reps, what grade do they obtain? | SELECT grade FROM table_name_43 WHERE chin_up__reps_ = "3" | SELECT "grade" FROM "table_name_43" WHERE "3" = "chin_up__reps_" | 0.0625 |
CREATE TABLE table_name_53 (complement VARCHAR2, unit VARCHAR2, killed VARCHAR2, wounded VARCHAR2)
| What was the Complement of Artillery Corps Units that had 0 off 0 men Killed or Wounded? | SELECT complement FROM table_name_53 WHERE killed = "0 off 0 men" AND wounded = "0 off 0 men" AND unit = "artillery corps" | SELECT "complement" FROM "table_name_53" WHERE "0 off 0 men" = "killed" AND "0 off 0 men" = "wounded" AND "artillery corps" = "unit" | 0.128906 |
CREATE TABLE table_35818 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" CLOB, "Result" CLOB)
| Which party was first elected in 1898? | SELECT "Party" FROM table_35818 WHERE "First elected" = '1898' | SELECT "Party" FROM "table_35818" WHERE "First elected" = '1898' | 0.0625 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.